Skip to main content

Study protocol for a hospital-to-home transitional care intervention for older adults with multiple chronic conditions and depressive symptoms: a pragmatic effectiveness-implementation trial



Older adults (> 65 years) with multiple chronic conditions (MCC) and depressive symptoms experience frequent transitions between hospital and home. Care transitions for this population are often poorly coordinated and fragmented, resulting in increased readmission rates, adverse medical events, decreased patient satisfaction and safety, and increased caregiver burden. There is a dearth of evidence on best practices in the provision of transitional care for older adults with MCC and depressive symptoms transitioning from hospital-to-home. This paper presents a protocol for a two-armed, multi-site pragmatic effectiveness-implementation trial of Community Assets Supporting Transitions (CAST), an evidence-informed nurse-led six-month intervention that supports older adults with MCC and depressive symptoms transitioning from hospital-to-home. The Collaborative Intervention Planning Framework is being used to engage patients and other key stakeholders in the implementation and evaluation of the intervention and planning for intervention scale-up to other communities.


Participants will be considered eligible if they are > 65 years, planned for discharged from hospital to the community in three Ontario locations, self-report at least two chronic conditions, and screen positive for depressive symptoms. A total of 216 eligible and consenting participants will be randomly assigned to the control (usual care) or intervention (CAST) arm. The intervention consists of tailored care delivery comprising in-home visits, telephone follow-up and system navigation support. The primary measure of effectiveness is mental health functioning of the older adult participant. Secondary outcomes include changes in physical functioning, depressive symptoms, anxiety, perceived social support, patient experience, and health and social service use and cost, from baseline to 6- and 12-months. Caregivers will be assessed for caregiver strain, depressive symptoms, anxiety, health-related quality of life, and health and social service use and costs. Descriptive and qualitative data from older adult and caregiver participants, and the nurse interventionists will be used to examine implementation of the intervention, how the intervention is adapted within each study region, and its potential for sustainability and scalability to other jurisdictions.


A nurse-led transitional care strategy may provide a feasible and effective means for improving health outcomes and patient/caregiver experience and reduce service use and costs in this vulnerable population.

Trial registration

# NCT03157999.

Registration Date: April 4, 2017.

Peer Review reports


Transitioning (moving) between hospital and home after a hospital admission can be a stressful and confusing time for patients and their caregivers. By necessity, the transition from hospital to home involves several professionals within and between disciplines and settings, all sharing the responsibility of care for an individual [1]. This results in numerous challenges to providing comprehensive and coordinated care, particularly for older adults (> 65 years) with multiple (> 2) chronic conditions (MCC) and depressive symptoms who experience frequent hospital-to-home transitions [2]. Care transitions for this population are often poorly coordinated and fragmented, resulting in increased readmission rates, adverse medical events, decreased patient satisfaction and safety, and increased caregiver burden [3,4,5].

These adverse outcomes have been attributed to factors such as lack of patient knowledge about available community-based services resulting in suboptimal or delayed utilization of these services [6], conflicting plans and instructions from different providers [7,8,9,10], medication errors [11, 12], lack of support for self-management of their complex chronic conditions [11, 12], lack of support for family caregivers, lack of communication and connections between older adults and health care providers, and untreated or under-treated depressive symptoms [13,14,15]. Factors related to social and structural determinants of health can further worsen the challenge of managing hospital to home transitions for older adults with MCC and depressive symptoms [16]. This is especially true for older adults with lower socioeconomic status, ethnocultural minorities, or persons living in rural or remote communities [17]. The consequences of poorly executed transitions are far reaching, leading to unnecessary costs to the health care system, and increased stress and burden on older adults with MCC and depressive symptoms and their caregivers. As the population of older adults increases, the number of persons living with MCC is expected to increase. Older adults with MCC are more likely to experience depressive symptoms than older adults without MCC (18). These data highlight the need for new, integrated healthcare delivery models to improve the quality and experience of hospital to home transitions for this vulnerable population.

Transitional care interventions have been recommended to address adverse outcomes in community-living older adults with complex needs transitioning from hospital to home [18,19,20,21,22,23,24,25]. The aim of transitional care is to ensure the coordination and continuity of health care when older adults move across care settings. Improvements in transitional care will simultaneously lead toward more integrated care, by bringing together services, providers, and organizations from across care settings and sectors; ensuring that services are coordinated and complement one another; and sharing information between providers accurately and promptly [1]. The goal is to develop a seamless unified system to ensure continuity of care for older adults managing MCC and depressive symptoms.

Although these Transitional Care Interventions have been linked to several positive outcomes, including decreasing hospital readmissions, the effectiveness of these interventions for older adults with MCC and depressive symptoms is uncertain. Most trials assessing the impact of transitional care interventions have excluded older adults with MCC, omitted mental health considerations such as depressive symptoms, provide little information on cost and implementation strategies, and used weak study designs [26,27,28,29]. Most of these studies have focused on acute care readmission rates as the primary measure of effect for many transitional care interventions, with limited attention to patient-relevant outcomes, such as health-related quality of life. Moreover, little is known about how, and within which contexts, care transition interventions and their components are effective. There is a need for evidence-informed best practices on transitional care for older adults with MCC and depressive symptoms since older adults with depression experience persistent health inequities that often lead to negative outcomes, such as reduced health-related quality of life, and high use of healthcare services [30,31,32,33,34].

CAST study objectives

Our team designed a new hospital-to-home transitional care intervention to address these gaps in knowledge. The Community Assets Supporting Transitions (CAST) is a 6-month tailored patient-and caregiver-centred intervention delivered by a Care Transition Coordinator (CTC) who is a Registered Nurse (RN). The CAST intervention was designed to improve the quality and experience of hospital-to-home transitions by supporting families and caregivers and fostering collaborations between primary care and other interdisciplinary service providers, both within and outside of the health sector, in delivering home and community services. The study builds upon the results of our feasibility study that demonstrated that a 6-month nurse-led mental health promotion intervention for older home care clients with MCC and depressive symptoms, was feasible to implement and resulted in a statistically significant reduction in depressive symptoms, and a significant improvement in mental health and physical functioning [18]. Statistically significant reductions were observed in the use of hospitalization, ambulance service utilization and emergency room visits [18]. The intervention components (home visits, telephone contacts, care coordination) in the feasibility study are comparable to those featured in effective care transitions interventions [35,36,37]. The purpose of this paper is to provide a detailed description of the CAST study protocol and discuss any anticipated challenges to implementation and how these will be addressed.

Research questions

The study addresses three research questions:

  1. 1.

    What is the effect of a new, nurse-led hospital-to-home transitional care intervention compared to usual care on health outcomes and costs for older adults with MCC and depressive symptoms and their caregivers?

  2. 2.

    How is the new care transition intervention adapted and implemented in diverse settings?

  3. 3.

    What is required to sustain and scale up the intervention?

It is hypothesized that, compared to usual care, the intervention will result in improvements in health outcomes for older adults with MCC and depressive symptoms while reducing the utilization of expensive healthcare services (e.g., hospitalization).

Trial design

The research questions are being addressed using a pragmatic randomized controlled trial (RCT), which applies RCT methodology in actual care settings to better inform decisions about the probable benefits, harms and costs of real-world implementation [38, 39]. The design is further classified as a Type II hybrid effectiveness implementation study, which assigns equal weight to assessing program effectiveness and implementation [40, 41]. Hybrid designs are thought to facilitate the transition from research to practice and result in more rapid uptake of effective interventions [40, 41].


The CONSORT Standardized Protocol Items: Recommendations for Interventional Trials (SPIRIT) [42] was used to structure the description of the CAST Trial presented in this manuscript and ensure that all relevant information is included. The participant timeline recommended by SPIRIT (42) shows the schedule of enrollment, interventions, and assessments (see Fig. 1) and these are all discussed in greater detail below.

Fig. 1
figure 1

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) Checklist: schedule of enrollment, interventions, and assessments)

Study setting

The study is taking place in three distinct communities within the catchment areas of two Regional Health Authorities in Ontario. These three communities were selected because they are diverse with respect to geography (rural/urban), socio-economic, language, and ethno-cultural characteristics. A description of each of the three communities, along with relevant health status indicators, is provided below.

Site one

The North East Local Health Integration Network is one of Ontario’s geographically largest LHINs, comprising 44% of Ontario’s land mass and serving over half a million residents [43]. This area of Ontario has the largest Francophone population of any LHIN region and has 41 First Nations and 19 urban and rural aboriginal communities [43]. The North East LHIN has the second highest proportion of older adults (65+) in Ontario (LHIN: 20.4% vs. ON: 16.4%), and the second highest proportion of residents aged 75+ (LHIN: 8.9% vs. ON: 7.2%) [44]. The prevalence rates of North East LHIN residents with a self-reported chronic condition (LHIN: 49.3 per 100 vs. ON: 39.6 per 100) or classified as having multiple chronic conditions (LHIN: 22.2 per 100 vs. ON: 16.2 per 100) are higher than the prevalence rates for Ontario [44]. In 2015–16, a significantly lower proportion of North East LHIN residents reported having very good or excellent self-perceived health compared with Ontarians as a whole (LHIN: 56% vs. ON: 61%); the proportion of North East LHIN residents reporting very good or excellent self-perceived mental health was also significantly lower than that of Ontarians (LHIN: 66% vs. ON: 71%) [44].

Site two

The Hamilton Niagara Haldimand Brant (HNHB) LHIN is a population dense region of Ontario with 1.4 million residents [45]. The HNHB LHIN serves more than 260,000 older adults (65+ years) and is projected to increase by 35% by 2025 [46]. The HNHB LHIN has significant socio-economic diversity across the six communities within its catchment area [46]. One of the communities, the second site for the study, reports higher rates of high blood pressure (LHIN: 14.5% vs. ON: 12.9%) and arthritis (LHIN: 20.5% vs. 17.7%) compared to the provincial average [47]. This community reports a lower than provincial average of residents in low-income (LHIN: 7.6% vs. ON: 13.8%), and the highest number of primary care physicians per 10,000 population in comparison with other five communities within the HNHB LHIN (LHIN range: 4.7 to 6.5) [47].

Site three

The third site of the study is also within the catchment area of the HNHB LHIN. This community has a greater population than site two and a greater proportion of older adults (24.5%), with 15.7% of those residents living below the low-income threshold [47]. The community also has the second highest rate of older adults living alone and the highest percentage of repeat, unscheduled emergency department visits within 30 days for mental health conditions within the HNHB sub regions (21.2%), similar to the Ontario proportion [47]. This large community, although geographically similar to the second site, reports a lower than average socio-economic status (SES) for residents, and greater population density and ethnocultural diversity [48].

Eligibility criteria

Study participants will be recruited from one hospital within each of the three sites. Each site aims to recruit 72 patients, yielding a sample size of 216 total participants. Older adult participants will be considered eligible if they meet the following criteria: 1) aged 65 years or older; 2) planned for discharge from hospital to the community (including private residences, retirement homes and transitional care beds); 3) self-report having a diagnosis of at least two chronic conditions; 4) self-report of having experienced depressive symptoms as assessed by a two-item version of the Patient Health Questionnaire (PHQ-2) [49]; 5) resides in one of the study regions and are not planning to move out of the region during the trial; 6) capable of providing informed consent or have a decision-maker who is able to provide informed consent; 7) is competent in English or has an interpreter who is competent in English (this also includes French-speaking individuals or French language interpreters at Site One). The adult caregiver(s) of trial participants, defined as family members or friends who assist with the management of their day-to-day activities by providing emotional, financial or other support, will also be invited to participate in the trial.

The Short Portable Mental Status Questionnaire (SPMSQ) [50] will be used to determine if eligible participants can provide informed consent (inclusion criterion 6). Participants will require a score of 5 or higher on the SPMSQ or have access to a substitute decision-maker. Individuals will be excluded from participation in the study if they are being discharged from hospital to a long-term care home, another hospital or hospital unit, or are not competent to provide informed consent and do not have access to a substitute decision maker.

Participant flow, assessments and timeline

Independent Research Assistants (RAs) will assess participants at baseline within 2 weeks post-hospital discharge (T1) and again at 6 months (T2) and 12 months (T3) after baseline through a structured in-home interview. The study team will aim to complete all assessments at the participant’s place of residence, but completion by telephone is an option if participants prefer. Each assessment will take approximately 1–1 ½ half hours to complete. RAs with previous experience working in community-based settings will be trained in consent and data collection and management procedures. The Research Coordinator will meet with the RAs on a regular basis to address any questions and concerns and ensure consistency of approach across the three sites. The Research Coordinator will check the data at regular intervals during the data collection period in order to keep the number of errors and missing data as low as possible and gather maximum data for analysis. The flow of participants through the study phases will be presented using a flow diagram which conforms to the Consolidated Standards of Reporting Trials (CONSORT) guidelines for pragmatic trial reporting [39] (Fig. 2).

Fig. 2
figure 2

Flow Diagram of Progress through Study Phases

Sample size

The target sample size of 216 (72 from each of the three sites) was derived from the Mental Component Summary (MCS) score of the VR-12 [51], which assumes a power of 80%, alpha of 0.05, mean MCS score difference of 6.5, standard deviation of 15.0 and 20% attrition, reported in the feasibility study [18].


Trained recruiters will be identified at participating sites and will receive training about the CAST intervention and eligibility criteria. These individuals will approach potentially eligible patients prior to hospital discharge to determine their interest in learning more about the study. A standardized screening script will be used to introduce the patients to the study. At one site, permission from a member’s circle of care is required before the recruiter approaches the patient.

If the patient agrees to be screened for study eligibility, an eligibility questionnaire will be completed, at which point the recruiter will confirm whether the patient is eligible. Eligible patients will then be asked if they were willing to be contacted about the study following discharge from hospital. Eligible patients who consent to be contacted by the Research Assistant upon discharge from hospital will receive a study information sheet. Participants will be enrolled in the trial after hospital discharge, once written informed consent is provided. Recruitment will occur over a 13-month period across the three study sites.

Randomization and blinding

Within each study region, participants will be assigned to either the intervention or the usual care group following the collection of baseline data, using stratified permuted block randomization administered by a centralized web-based service (RedCap) to allocate clients at each site to the two groups in accordance with the sequence and using a 1:1 ratio. All study participants will be blinded to their group allocation (usual care or CAST intervention). Research assistants completing further assessments with participants following recruitment will remain blind to group assignments for the duration of data collection. Upon completion of the study at 12-months, participants will receive a mailed debriefing letter describing the two groups and their group allocation.


CAST intervention group

The CAST intervention was designed to complement usual care and consists of usual care plus a tailored patient- and caregiver-centred intervention delivered by a Care Transition Coordinator (CTC) who is a Registered Nurse (RN). The CTC will conduct a minimum of two in-home visits along with a minimum of four telephone calls scheduled to accommodate participant needs and preferences over a six-month period.

Throughout the 6 month duration of the intervention, the CTC will: 1) identify the health care professionals involved in the participant’s circle of care and initiate a plan for regular communication and follow-up with these individuals and organizations; 2) identify and manage the patient’s risk factors for depressive symptoms and other chronic conditions in accordance with evidence-based guidelines [52, 53]; 3) provide system navigation support, coordination, and follow up for participants and caregivers; 4) conduct medication review and management in collaboration with participants, primary care providers and pharmacists using evidence-based best practice guidelines [52, 53]; 5) conduct problem-solving therapy with participants and caregivers using Nezu et al.’s [54] manual; 6) implement social and behavioural activation, which involves assisting and encouraging participants to participate in regular physical activity programs tailored to social and behavioural needs; 7) provide patient and caregiver education; and 8) alert the participant’s primary care provider to the presence of depressive symptoms, dementia, delirium, suicidal ideation, or medication issues. These activities will be completed through direct interactions with participants during home visits and phone calls and indirect activities, (e.g., referring participants to health and social services, communicating with healthcare providers in the participant’s circle of care) completed between scheduled appointments.

This pragmatic trial is a tailored intervention with fixed and flexible elements that are adaptable to patient needs and preferences and the local context. Consistent with a pragmatic trial, participants allocated to the CAST intervention, can accept or decline as much of the intervention as they want. Examples of allowable adaptations include removing and/or integrating elements that overlap with routine or usual care. The CTCs will attend an 8-h training session supported by role-appropriate and standardized manuals. Training sessions will be led by the Principal Investigators and the Research Coordinator and include education and role-playing to enhance skills in problem-solving therapy within the context of MCCs.

Usual care group

Participants allocated to the control group at discharge from hospital to home will receive usual care. Usual care, which varies from site to site, may include recommendations for the patient to see their primary care provider and/or other medical specialists or access home care and/or other health and social services provided in the community after hospital discharge.

Effectiveness measures and data sources

The effectiveness of the CAST intervention on older adults and their caregivers will be evaluated using a range of patient and caregiver-relevant measures. A summary of these measures, including their description, related variables/outcomes, and time point(s) collected, and methods of analysis, are summarized in Table 1.

Table 1 CAST Study Outcome Measures Summary

Older adult participant measures

The primary measure of effectiveness is mental functioning of the older adult participants as measured by the mental component score (MCS) of the Veterans Rand 12-item health survey (VR-12) [55]. Secondary outcome measures include: the physical component score (PCS) of the VR-12 [55] to measure changes in physical functioning; the Centre for Epidemiologic Studies Depression Scale (CESD-10) [56] to determine the presence and severity of depressive symptoms; the Generalized Anxiety Disorder Scale (GAD-7) [57] to determine the presence and severity of anxiety; the Personal Resource Questionnaire (PRQ-2000) Part Two [58] to measure perceived social support; and a subset of questions from the Patient Provider Communication Questionnaire (PPC) [59], the Client Centered Care Questionnaire (CCCQ) [60], the Intermediate Care for Older People Home-Based-Integrated Care Patient-Reported Experience Measures (IC-PREMs) [61], and an Unmet Care Needs questionnaire developed for the purposes of this study to measure patient experience. A complete copy of the questionnaire that includes these measures is provided as supplementary data (see Additional file 1).

Caregiver measures

Caregivers of older adult participants will be assessed for caregiver strain using the Modified Caregiver Strain Index (CSI) [62]. Other caregiver outcome measures include: the CESD-10 [56] to measure the presence and severity of depressive symptoms, the GAD-7 [57] to measure the presence and severity of anxiety, the mental and physical component score of the VR-12 [55] to measure health-related quality of life; and a subset of questions from the PPC [59], the CCCQ [60], the IC-PREMs [61], and the Unmet Care Needs questionnaire developed for the purposes of this study to measure caregiver experience. A complete copy of the questionnaire that includes these measures is provided as supplementary data (see Additional file 2).

Cost of use of health and social services

The study will link participants to Institute for Clinical Evaluative Sciences (IC/ES) administrative databases to identify the use of emergency room visits, hospital admissions, use of family physicians, physician specialists, and home care services, and transfers to long-term care. In addition, the Health and Social Services Utilization Inventory (HSSUI) [63] will be used to measure the utilization of health and social services as reported by study participants and caregivers over the duration of the study. The HSSUI consists of questions about the respondent’s use of six categories of direct healthcare services: a) primary care; b) emergency department and specialists; c) hospital days; d) seven types of other health and social professionals; e) prescribed medications; and f) lab services. The data from the HSSUI will be used in combination with the IC/ES administrative data as a back-up in case we are unable to obtain IC/ES data at all three timepoints.

The six-month cost data will be derived from the product of “quantity” data reported on the HSSUI and 2015–2016 “price” data obtained by our team for the HSSUI [64]. The costs of use of health and social services will include the costs associated with delivery of the nurse-led intervention. This will form the basis of the cost-analysis, from a societal perspective that will compare changes in the costs of use of health and social services between participants in the intervention and control groups from baseline to 6- months, and from 6-months to 12-months post intervention. A complete copy of the HSSUI questionnaire is included as supplementary data (see Additional files 1 and 2). Table 1 provides an overview of the effectiveness evaluation, including the outcome, measures, group, and tiepoint for data collection.

Analysis: effectiveness evaluation

Descriptive statistics will be used to summarize outcome values at baseline, 6 months and 12 months. Means and standard deviations will be used for continuous outcomes, and frequency and percentages will be used for categorical outcomes. Intention-to-treat analyses using analysis of covariance (ANCOVA) will be used to assess group differences in continuous outcomes from baseline to T2 in order to determine if the intervention was effective over the intervention period. The outcomes include: PRQ-2000, CESD-10, GAD-7, VR-12 PCS, VR-12 MCS, the PPC, CCCQ, and the IC-PREMs. The ANCOVA model will use the 6-month outcome value as the dependent variable, the group indicator as the independent variable and the baseline outcome value as the covariate. Model results will be expressed as mean group differences with accompanying 95% confidence limits. Quantile regression will also be used to examine the treatment effect over a broader range of values (beyond the mean) for the outcome variables. Assessment of group differences in continuous outcomes from T2 to T3 will be assessed using ANCOVA and will be aimed at assessing the sustainability of the intervention effects (see Table 1).

Z tests of proportions and McNemar tests will be used to assess changes within each group in the number of participants with acute care episodes and the number of acute care episodes from baseline to T2, and from T2 to T3 Acute care episodes include emergency department visits and hospital admissions. Risk difference (intervention risk – control risk) and accompanying 95% confidence limits will be calculated for 6 months for emergency department visits and hospital readmissions for 6 months. As was noted earlier, acute care episodes will be identified using administrative data from IC/ES, and self-reported data from the HSSUI. Due to the highly skewed nature of cost data, a non-parametric test will be used to compare the change in health and social service use and costs from baseline to T2 and from T2 to T3 for the two groups. Outliers are particularly common for certain healthcare costs such as hospital admissions, thus we will conduct a sensitivity analysis to assess the impact of outliers on the cost comparison.

Subgroup analyses will be conducted for the VR-12 outcomes to determine if the intervention is effective for subgroups of patients from baseline to T2. The following baseline variables have been selected a priori for testing subgroup effects: age, sex, number of chronic conditions, depressive symptoms (CESD-10), site, and dose of the intervention (number of home visits and telephone contacts). Multiple imputation will be used to address missing data. All data analyses will assume a level of significance of 0.05 and be performed using SAS Version 9.4.

Implementation evaluation: data collection methods, management and analysis

As noted previously, the CAST trial is a Type II hybrid effectiveness implementation study, with equal weight assigned to assessing program effectiveness and implementation. Examining the implementation of interventions is important as these data can provide an understanding of the conditions under which an intervention can be successfully implemented [65]. The implementation evaluation will include three areas of focus: 1) assessing implementation outcomes; 2) identifying how the care transition intervention was adapted and implemented in each setting; and 3) gathering information on what is required to sustain and scale-up the intervention.

Peters and colleagues [66] indicate that assessing implementation outcomes (such as adoption, acceptability and feasibility) can provide insights into the success of an intervention’s implementation. A subset of implementation outcomes identified by Peters et al. [66] will be examined in this study, specifically adoption, acceptance, feasibility, and fidelity The second two components of the implementation evaluation (implementation and sustainability of the intervention) will be guided by the Consolidated Framework for Implementation Research (CFIR) [65]. CFIR provides an organizational framework for implementation science research. It includes five key domains: i) intervention characteristics – this includes the elements of an intervention that may influence implementation (such as complexity, adaptability and cost); ii) outer setting – this includes external factors that may influence the implementation of an intervention, including political, social and economic factors; iii) inner setting – the internal organizational realities that may influence implementation (e.g., organizational structures, culture, and implementation readiness); iv) characteristics of individuals involved in the intervention, the organization, and intervention recipients; and v) implementation process including how the implementation was planned and executed, and the level of engagement of various actors [65].

Implementation measures and data sources

Implementation outcomes

Five implementation outcomes will be examined as part of this study: i) adoption or uptake refers to the engagement rate and the dose of the intervention by research participants defined as the number of home visits and telephone contacts during the six-month intervention; ii) acceptance refers to the acceptability of the intervention by study participants assessed using semi-structured interviews with participants; iii) feasibility refers to the ability to recruit participants who meet the eligibility criteria, and the feasibility of delivering the intervention in the local setting; and iv) fidelity is the extent to which the intervention was implemented as intended (see Table 2). Reasons for discontinuing the intervention will be recorded. The interview guide for the older adult and caregiver participants receiving the CAST intervention is provided as supplementary data (see Additional file 3).

Table 2 CAST Study Implementation Evaluation Summary

Adaptation and implementation of the intervention

A variety of data sources will be used to examine how the intervention was implemented and adapted in each of the three sites. This will include: minutes/notes from meetings with each of the sites (conducted prior to and during the implementation of the intervention); research team meeting notes (over the course of the study); CTC interview transcripts (two interviews will be conducted with each CTC, the first after engaging with the first 3–4 intervention participants and the second towards the end of the intervention period); notes made by the study coordinator (over the course of the study); notes from Community Advisory Board (CAB) meetings (six meetings will be held); and CAB focus group transcripts (two focus groups will be conducted with each CAB, the first after the third CAB meeting and the second after the last CAB meeting) (see Table 2). The interview guide for the CTCs is provided as supplementary data (see Additional file 4). The interview guide for the CAB focus group is provided as supplementary date (see Additional file 5).

Sustainability and scale-up

Examining the potential for sustainability and scale-up will involve the data sources described in Table 2. In addition, notes and materials from a Citizen Panel will also contribute to this aspect of the implementation evaluation. A Citizen Panel is an engagement process involving individuals with lived experience who come together to review existing evidence and develop recommendations based on a question of interest ( We will be working with the McMaster Health Forum ( to host a Citizen Panel to examine how best to engage older adults and family care partners in improving transitional care. Table 2 provides an overview of the implementation evaluation, including the areas of focus, data sources and method of analysis.

Analysis: implementation evaluation

Quantitative data

Descriptive statistics will be used to summarize the Adoption (engagement rate, the dose of the intervention), and the level of fidelity to treatment for each core component of the intervention at 6 months. Means and standard deviations will be used for continuous outcomes, and frequency and percentages will be used for categorical outcomes. Cost analysis was described in the previous section.

Qualitative data

Interview and focus group data will be transcribed verbatim, and Research Coordinator and meetings notes will be typed up. All data will then be uploaded into NVivo 12 (QSR). For each data source (i.e., CTC meeting notes, CAB focus groups), two notes/transcripts will be selected and independently coded by two members of the research team. CFIR [65] will be used as a framework for coding. The two researchers will meet to develop the initial coding structure for each data source; each of the remaining notes/transcripts within that source will be coded using the coding framework. To promote consistency in coding across data sources, researchers will code more than one type of data source. Meetings with all researchers involved in coding will be held during the analysis period to share coding frameworks as well as interim codes and themes. The team of researchers will work to develop the final agreed upon themes.

Project Management

The Cabassa et al’s Collaborative Intervention Planning Framework [69] will be used to achieve collective impact [70] by establishing a variety of formal governing structures, including a Research Steering Committee, Community Advisory Boards, and a Patient and Caregiver Ad Hoc Group. The Collaborative Intervention Planning Framework involves collaborations between stakeholders and researchers to tailor health interventions. It draws upon the principles of community-based participatory research and intervention mapping [69]. Collective Impact involves the collaboration of stakeholders across sectors working to address complex problems [71]. It involves developing a shared vision of the issue and the intervention to address the issue; agreement on evaluation measures; open, ongoing communication; and foundational support for ongoing collaboration. A key component of this patient-oriented research project is the meaningful engagement of patients (including family caregivers) who reflect the population of interest in all stages of the research process. This includes assisting with: the identification of the research priorities and questions, designing the CAST intervention, the implementation of research studies, the interpretation of the results, and participating in knowledge dissemination [71].

The Research Steering Committee consists of the co-Principal Investigators (MMR and CM) who are responsible for overseeing all aspects of the study; the co-investigator (RG) overseeing the patient engagement component of the study; the research coordinator (AB) who coordinates the implementation of the study and supports the sites, and the four co-investigators (DU, AG, JM, CW) overseeing the research sites. The Research Steering Committee is supported by the Aging, Community and Health Research Unit [72] as well as the broader research team. The Committee will meet weekly or biweekly and draw on the expertise of other investigators as needed.

In collaboration with each community, local Community Advisory Boards (CABs) will be established. The role of the CABs is to oversee the implementation of the intervention in each community, problem-solve challenges that arise related to implementation (e.g., challenges with recruitment, identify health and social care resources in the community to support the intervention RN with implementation care delivery, and advise the research team on how to adapt the intervention to the local setting. CAB membership will include older adult patients, caregivers, and other members of the public; key health and social care providers involved in transitional care (e.g., representatives from hospitals, home care services, community support services); and representatives from the research team. Because each community is unique, the specific organizations represented within each CAB will vary from site to site. To support the involvement of patients, caregivers and members of the public, and to demonstrate their value to the process, these individuals will receive $75 stipend for each meeting attended. It is anticipated that the CABs will meet six times over the course of the study.

The Patient and Caregiver Ad Hoc group will be comprised of patient and caregiver co-researchers and supported by the RC and the co-investigator leading the patient engagement component of the study. The Patient and Caregiver Ad Hoc group will meet as needed during the course of the study to bring the patient/caregiver perspective to research-related issues, such as the selection of patient-relevant outcomes, review of study materials (e.g., consent forms, interview guides), interpretation of study findings, and knowledge dissemination. Like patient and caregiver representatives on the CABs, members of the Patient and Caregiver Ad Hoc group will receive a $75 stipend for each meeting/consultation.

Ethics and dissemination

The study is being conducted in accordance with the Tri-Council Policy Statement, Ethical Conduct for Research Involving Humans [73]. Institutional ethics approval was obtained from: the McMaster University Hamilton Integrated Research Ethics Board (REB) (# 2586); the Office of Research Ethics at the University of Waterloo (#40867); the Laurentian University REB (#6009840), and the REBs from the study sites (Health Sciences North REB # 17–007; Joseph Brant Hospital REB #000–039-17). Ethics approval will be renewed on an annual basis as required for the duration of the study. Written informed consent will be obtained from participants by the RA before study enrolment. Any protocol modifications will be reported to the REBs of each site. In accordance with PHIPA requirements, all electronic files with identifiable information will be stored on a password protected computer on a secure network and access will be limited to the study team. Paper files with identifiable information will be kept in a locked cabinet within a locked office. The list linking the participant’s study ID with their name will be kept secure in a locked filing cabinet within a locked office, separate from the destroyed at the end of the study.

Communication and dissemination of CAST trial results

Our plans to share the results of the CAST trial will be guided by the Knowledge to Action (KTA) framework [74], engaging patients, caregivers, and health and social care providers in all stages of the project [72]. The framework will address four questions: (1) What are the outputs of the research?, (2) Who are the potential users of the research outputs?, (3) What are the most effective ways to interact with these users?, and (4) How do we facilitate uptake and usability of the research outputs for the target audiences? The engagement of knowledge users is an integral part of the study, including the establishment of site-specific CABs as well as the Patient and Caregiver Ad Hoc Group. The ongoing engagement of knowledge users will help to support implementation and foster the uptake of the intervention [74].

End-of-grant knowledge translation activities will ensure that the results and project outputs are made available to those who need them and packaged in a way to support knowledge translation. Several traditional and non-traditional knowledge translation activities will be used. First, a Citizen Panel will be held to explore how best to engage older adults and family caregivers in transitional care. The dialogue generated at this event will integrate study findings with other research on care transitions. Evaluations indicate that the Citizen Panel’s brief dialogue approach is associated with strong intentions to incorporate learnings into action [75]. Second, we will host a webinar to share project findings with participating organizations across the three sites. Third, we will produce a series of traditional academic knowledge products – including publications, policy briefs, short reports, and conference presentations at scientific meetings. Finally, project information and activities will be posted on the Aging, Community and Health Research Unit website ( and distributed using social media channels. In collaboration with our knowledge users and partner networks, existing newsletters and websites will also be utilized to share project findings.


This paper described the design of pragmatic effectiveness-implementation trial of a nurse-led intervention (CAST) for older adults with MCC and depressive symptoms transitioning from hospital-to-home. The study will make four important contributions to the existing knowledge base. First, the study will assess both the implementation and effects of this transitional care intervention. Instead of focusing solely on whether the intervention ‘works’, the implementation evaluation results will be used to evaluate the sustainability of the intervention within each study site, and the potential for scalability to other jurisdictions. There is very little evidence regarding why certain transitional care interventions work in some settings or contexts but not in others [76]. This approach enables a focus on the complexity of interactions among the many contextual, macro-level factors that can affect implementation, which have been noted as highly relevant in determining both the outcomes and scalability of transitional care interventions [8, 28, 29]. Second, the study will include a cost analysis from a societal perspective – an outcome that has been overlooked in previous transitional care studies. This information will provide policy makers with a greater understanding of the ‘real world’ factors affecting implementation as well as the economic feasibility of integrating the intervention into usual care practice. Third, the study’s focus on older adults with MCC and depressive symptoms, a complex at-risk population that has been under-represented in transitional care evaluations, will enhance the generalizability of study results to this population. Fourth, the engagement of patients and caregivers in all aspects of the research, including the selection of patient- and caregiver-reported outcomes can inform future studies on outcomes that are important to assess from the perspective of patients and caregivers.

There are a few challenges associated with this project. The first area of challenge relates to recruitment and retention. Recruitment of complex, vulnerable individuals, such as older adults with depressive symptoms and MCC, has been challenging in our previous research [18]. To address recruitment barriers, we will hire, and train dedicated recruiters at each hospital site and develop a clear protocol for contacting potential study participants prior to hospital discharge. We will use clear but simple communication of study procedures, risks and potential benefits, and give potential participants the time needed to decide if they want to enrol in the study. We pilot tested the recruitment materials and informed consent forms with older adults to enhance the clarity of these materials and reduce participant burden. To enhance retention, we will attempt to ensure continuity of RAs across the three time points for data collection (baseline, 6-months, 12-months). The Research Coordinator will use a participant-tracking plan, and the RAs will maintain between-assessment contacts with participants. Interview reminder cards will be left with participants at the end of T1 (baseline) and T2 interviews. In addition, participants will receive reminder telephone calls from the Research Assistants (1 month before the T2 interview and 1–3 days prior to the appointment date) and reminder letters from the Research Coordinator (3 months from baseline and T2 interviews).

The second challenge relates to the need to adapt the intervention to the local context. Interventions are frequently modified during the implementation process to address differences between the context in which the intervention was originally designed and tested, and the one into which it is ultimately implemented. Adaptations are also expected to address differences in individual patient needs, which will result in variation in the intervention components and dose to which participants are exposed [77]. But these adaptations carry the risk of variability in the delivery of the intervention’s component features. This is an inherent limitation of pragmatic trials [78, 79], and is also a common challenge associated with transitional care evaluations. Variation in the nature and scope of interventions across settings has led authors of multiple systematic reviews to qualify their conclusions about the efficacy of transitional care models [27,28,29, 35]. Close monitoring throughout the duration of the study will assist the investigators in determining any adaptations that need to be made to the intervention. The research team will track any modifications made to the CAST intervention during its implementation. This information will be used to guide future refinements and possibly prepare for future research that tests the intervention on a larger scale. Such an understanding will allow stakeholders to make more informed decisions about whether and how to modify the interventions when implementing them in contexts that differ from those in which they were originally developed and tested.

The third challenge relates to the scalability and sustainability of the intervention. Although the process of expanding and scaling up a program should wait until the program shows desired results, planning for scale-up began at the beginning of the project. The intervention has been designed with scale-up in mind, with the goal of developing a plan that is a systematic, detailed strategy for large-scale implementation of the intervention in each study site. The WHO (2011) checklist [80] was used to ensure that features known to enhance the potential for scale-up were incorporated into the study’s design. This includes a) engaging in a participatory process with key stakeholders (e.g., patients, providers, policymakers); b) nurturing political commitment and program champions; and c) accumulating evidence from diverse settings and populations. These features are consistent with the Collective Impact framework [70, 71].

There are several strengths associated with the design of the study. First, as was noted previously, the use of a pragmatic RCT design optimizes applicability of the intervention to real-world practice by recruiting participants representative of the population presenting in clinical practice, offering flexible delivery of the intervention by providers, use of existing staff in practice, and the use of intention-to-treat analysis [38, 39]. Second, the focus on evaluating both the effectiveness and implementation of the intervention, which follows the type 2 hybrid effectiveness-implementation study design typology, offers the potential to expedite research into routine practice, compared to the more traditional approach of incremental implementation following evidence of the effectiveness of an intervention alone. Third, engaging patients, caregivers and members of the public in all aspects of the research is a strength that is a core component of patient-oriented research [81]. The importance of engaging patients (including caregivers and other member of the public) in patient-oriented research has been increasingly recognized in the research community [82]. In our study, patients, caregivers and members of the public will be engaged in a number of ways including serving as co-investigators identifying patient- and caregiver-relevant outcomes, advising on the implementation of CAST in the study settings, and developing recommendations for engaging older adults and caregivers in future transitional care activities.

Fourth, objective, reliable and valid measures will be used to assess a variety of patient-relevant outcomes, addressing a gap in the current literature that focuses predominantly on hospital readmissions as an outcome. Fifth, the study will evaluate the sustainability of the intervention effects by measuring the effectiveness of the intervention 6-months following completion of the intervention. Sixth, intervention fidelity will be enhanced by multiple approaches. Notably, the CTCs will be provided training, a standardized training manual, and regular meetings held with the research team throughout the intervention period to enhance the fidelity of intervention implementation. Lastly, the intervention will be evaluated in multiple sites and in diverse communities, which will enhance the generalizability of the results to other settings, as it reflects the diversity of the target population.

Conversely, there are some limitations to the study that warrant acknowledgement. First, sampling bias may influence the results, as those who volunteer to participate may be more likely to be receptive to the intervention. We will assess the extent of non-response bias by comparing the characteristics of study participants to those who decline participation in the study on their characteristics at baseline. Second, the use of a proxy respondent as a source of data for the study participants with limitations in cognition, physical health or language, may result in either an overestimation or an underestimation of the results.

The CAST intervention has the potential to inform policy decisions concerning the provision of transitional care for older adults with MCC and depressive symptoms transitioning from hospital to home. Given the rapid increase in the number of older adults living in the community, the challenges of meeting the complex care needs of older adults with MCC and depressive symptoms have the potential to place extensive burdens on a health care system that is already under strain. In Ontario, the jurisdiction where CAST is being evaluated, a recent expert advisory panel on health care reform identified a number of system-level issues the CAST study has the potential to mitigate, including an increase in the number of patients with complex needs, difficulties with system navigation, challenges transitioning between services, and the need for more effective coordination at point of care [83]. Moreover, the level of patient support offered by the CAST intervention has the potential to enable greater independence and aging at home, which is the expressed preference of community-dwelling older adults [3, 84, 85]. This project will have meaningful results for patients as the outcomes will address not only their unmet needs but reflect issues important to them. Further, the study results will support the continued development of our patient- and community-centred research agenda [72, 82]. The use of a pragmatic effectiveness-implementation trial will enhance the relevance of the results for practitioners and policy makers, thereby reducing the research-practice gap and enhance the sustainability and scalability of the intervention.

Availability of data and materials

The data for this research consists of questionnaires, in-person interview transcripts and notes. Raw data cannot be publicly released due to the risk of compromising participant confidentiality.



Aging, Community and Health Research Unit (McMaster University, School of Nursing)


Aging, Community and Health Research Unit - Community Assets Supporting Transitions


Multiple chronic conditions


Health related quality of life




Registered Nurse


Care Transition Coordinator


Randomized controlled trial


Mental Health Component Summary of Veterans Rand 12 Item Health Survey




Patient Health Questionnaire (2 items)


Community Assets Supporting Transitions


Local Health Integration Network


Hamilton Niagara Haldimand Brant


North East


Community Care Access Centre


Integrated Care Patient-Reported Experience Measures


Client-Centred Care Questionnaire


Health and Social Services Utilization Inventory


Modified Caregiver Strain Index


Generalized Anxiety Disorder (7 items)


Veterans Rand 12 Item Health Survey


Center for Epidemiological Studies on Depression (10 items)


  1. Health Quality Ontario. Accessed 10 Dec 2019.

  2. Albrecht JS, Gruber-Baldini AL, Hirshon JM, Brown CH, Goldberg R, Rosenberg JH, et al. Depressive symptoms and hospital readmission in older adults. J Am Geriatr Soc. 2014;62(3):495–9.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Neiterman E, Wodchis WP, Bourgeault IL. Experiences of older adults in transition from hospital to community. Can J Aging. 2015;34(1):90–9.

    Article  PubMed  Google Scholar 

  4. Mesteig MHJ, Sletvold O, Rosstad T, Saltvedt I. Unwanted incidents during transition of geriatric patients from hospital to home: a prospective observational study. BMC Health Serv Res. 2010;10(1):1–9.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Storm MSI, Laugaland J, Dyrstad DN, Aase K. Quality in transitional care of the elderly: key challenges and relevant improvement measures. Int J Integr Care. 2014;8(14):e013.

    Google Scholar 

  6. Almborg AHUK, Thulin A, Berg S. Patients' perceptions of their participation in discharge planning after acute stroke. J Clin Nurs. 2009;18(2):199–209.

    Article  PubMed  Google Scholar 

  7. Sheikh FGE, Bellatoni M, Christmas C, Lafreniere JP, Arbaje AI. A call to bridge across silos during care transitions. Jt Comm J Qual Patient Saf. 2018;44(5):270–8.

    PubMed  Google Scholar 

  8. Lowthian J. How do we optimise care transition of frail older people? Age Ageing. 2017;46(1):2–4.

    PubMed  Google Scholar 

  9. Hudson RCL, Whichello R. Transitions in a wicked environment. J Nurs Manag. 2014;22(2):201–10.

    Article  PubMed  Google Scholar 

  10. Bauer MFL, Haesler E, Manfrin M. Hospital discharge planning for frail older people and their family. Are we delivering best practice? A review of the evidence. J Clin Nurs. 2009;18(18):2539–46.

    Article  PubMed  Google Scholar 

  11. Jerant AF, von Friederichs-Fitzwater MM, Moore M. Patients' perceived barriers to active self-management of chronic conditions. Patient Educ Couns. 2005;57(3):300–7.

    Article  PubMed  Google Scholar 

  12. Schulman-Green D, Jaser SS, Park C, Whittemore R. A metasynthesis of factors affecting self-management of chronic illness. J Adv Nurs. 2016;72(7):1469–89.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Brown EL, McAvay G, Raue PJ, Moses S, Bruce ML. Recognition of depression among elderly recipients of home care services. Psychiatr Serv. 2003;54(2):208–13.

    Article  PubMed  Google Scholar 

  14. Ell KUJ, Aranda M, Sanchez K, Lee PJ. Routine phq-9 depression screening in home health care: depression, prevalence, clinical and treatment characteristics and screening implementation. Home Health Care Serv Q. 2005;24(4):1–19.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Briggs RTK, Kenny RA, Kennelly SP. What is the prevalence of untreated depression and death ideation in older people? Data from the irish longitudinal study on aging. Int Psychogeriatrics. 2018;30(9):1393–401.

    Article  Google Scholar 

  16. Virapongse A, Misky GJ. Self-identified social determinants of health during transitions of care in the medically underserved: a narrative review. J Gen Intern Med. 2018;33(11):1959–67.

    Article  PubMed  PubMed Central  Google Scholar 

  17. McGilton KS, Vellani S, Yeung L, Chishtie J, Commisso E, Ploeg J, et al. Identifying and understanding the health and social care needs of older adults with multiple chronic conditions and their caregivers: a scoping review. BMC Geriatr. 2018;18(1):231.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Markle-Reid M, McAiney C, Forbes D, Thabane L, Gibson M, Browne G, et al. An interprofessional nurse-led mental health promotion intervention for older home care clients with depressive symptoms. BMC Geriatr. 2014;14:62.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Naylor M, Berlinger N. Transitional care: a priority for health care organizational ethics. Hast Cent Rep. 2016;46:S39–42.

    Article  Google Scholar 

  20. Blewett LA, Johnson K, McCarthy T, Lackner T, Brandt B. Improving geriatric transitional care through inter-professional care teams. J Eval Clin Pract. 2010;16(1):57–63.

    Article  PubMed  Google Scholar 

  21. Coburn KDMS, Lazansky R, Keller M, Davis N. Effect of a community-based nursing intervention on mortality in chronically ill older adults: a randomized controlled trial. PLoS Med. 2012;9(7):e1001265.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Finlayson K, Chang AM, Courtney MD, Edwards HE, Parker AW, Hamilton K, et al. Transitional care interventions reduce unplanned hospital readmissions in high-risk older adults. BMC Health Serv Res. 2018;18(1):956.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Redmond P, Grimes TC, McDonnell R, Boland F, Hughes C, Fahey T. Impact of medication reconciliation for improving transitions of care (review). Cochrane Database Syst Rev. 2018;8:CDO10791.

  24. Coleman EA, Parry C, Chalmers S, Min S-J. The care transitions intervention: results of a randomized controlled trial. Arch Intern Med. 2006;166(17):1822–8.

    Article  PubMed  Google Scholar 

  25. Naylor MD. Transitional care for older adults: A cost-effective model. LDI Issue Briefs. 2004;9(6):1–4.

  26. Bryant-Lukosius D, Carter N, Reid K, Donald F, Martin-Misener R, Kilpatrick K, et al. The clinical effectiveness and cost-effectiveness of clinical nurse specialist-led hospital to home transitional care: a systematic review. J Eval Clin Pract. 2015;21(5):763–81.

    Article  PubMed  Google Scholar 

  27. La Berre M, Maimon G, Sourial N, Gueriton M, Vedel I. Impact of transitional care services for chronically ill older patients: a systematic review. JAm Geriatr Soc. 2017;65(7):1597–608.

    Article  Google Scholar 

  28. Toles M, Colon-Emeric C, Asafu-Adjei J, Moreton E, Hanson LC. Transitional care of older adults in skilled nursing facilities: a systematic review. Geriatr Nurs. 2016;37(4):296–301.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Weeks L, Macdonald M, Martin-Misener R, Helwig M, Bishop A, Iduye DF, et al. The impact of transitional care programs on health services utilization in community-dwelling older adults: a systematic review. JBI Database System Rev Implement Rep. 2018;16(2):345–84.

    Article  PubMed  Google Scholar 

  30. Xu Y, Yang J, Gao J, Zhou Z, Zhang T, Ren J, et al. Decomposing socioeconomic inequalities in depressive symptoms among the elderly in China. BMC Public Health. 2016;16(1):1214.

    Article  PubMed  PubMed Central  Google Scholar 

  31. United Nations Department of Economic and Social Affairs Programme on Ageing. Health inequalities in old age. New York City: United Nations; 2018.

    Google Scholar 

  32. Royal College of Psychiatrists. Suffering in silence: age inequality in older people's mental health care. London: Royal College of Psychiatrists; 2018.

    Google Scholar 

  33. Sadana R, Blas E, Budhwani S, Koller T, Paraje G. Healthy ageing: raising awareness of inequalities, determinants, and what could be done to improve health equity. The Gerontologist. 2016;56:S178–S93.

    Article  PubMed  Google Scholar 

  34. Cohen A, Houck PR, Szanto K, Dew MA, Gilman SE, Reynolds CF. Social inequalities in response to antidepressant treatment in older adults. Arch Gen Psychiatry. 2006;63(1):50–6.

    Article  PubMed  Google Scholar 

  35. Kansagara D, Chiovaro JC, Kagen D, Jencks S, Rhyne K, O'Neil M, et al. Transitions of care from hospital to home: an overview of systematic reviews and recommendations for improving transitional care in the veterans health administration. 2015;.

    Google Scholar 

  36. Vedel I, Khanassov V. Transitional care for patients with congestive heart failure: a systematic review and meta-analysis. Ann Fam Med. 2015;13(6):562–71.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Verhaegh KJ, MacNeil-Vroomen JL, Eslami S, Geerlings SE, de Rooij SE, Buurman BM. Transitional care interventions prevent hospital readmissions for adults with chronic illnesses. Health Aff (Millwood). 2014;33(9):1531–9.

    Article  Google Scholar 

  38. Sox HC, Lewis RJ. Pragmatic trials: practical answers to "real world" questions. JAMA. 2016;316(11):1205–6.

    Article  PubMed  Google Scholar 

  39. Zwarenstein M, Treweek S, Gagnier JJ, Altman DG, Tunis S, Haynes B, et al. Improving the reporting of pragmatic trials: an extension of the consort statement. BMJ. 2008;337:a2390.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The precis-2 tool: designing trials that are fit for purpose. Bmj-Brit Med J. 2015;350:h2147.

    Article  Google Scholar 

  41. Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217–26.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gotzsche PC, Krleza-Jerixc K, et al. Spirit 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–7.

    Article  PubMed  PubMed Central  Google Scholar 

  43. North East LHIN. About our lhin Accessed 11 Dec 2019.

  44. North East Local Health Integration Network (LHIN). North east lhin 2018–19 environmental scan. North East LHIN; 2018.

  45. Hamilton Niagara Haldimand Brant Local Health Integration Network (LHIN). Hamilton niagara haldimand brant lhin, about us Accessed 15 Nov 2019.

  46. Hamilton Niagara Haldimand Brant Local Health Integration Network, Dramatically improving the patient experience through quality, integration and value, 2016-2017, Annual Report. Hamilton.

  47. Hamilton Niagara Haldimand Brant Local Health Integration Network (LHIN). Hamilton niagara haldimand brant comparative sub region data tables. Hamilton: Hamilton Niagara Haldimand Brant LHIN; 2017.

  48. City of Hamilton. Hamilton community wellness indicators Accessed 11 Dec 2019.

  49. Kroenke K, Spitzer RL, Williams JB. The patient health questionnaire-2: validity of a two-item depression screener. Med Care. 2003;41(11):1284–92.

    Article  PubMed  Google Scholar 

  50. Pfieffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23(10):433–41.

    Article  Google Scholar 

  51. Mental component summary. In: Preedy VR, Watson RR, editors. Handbook of disease burdens and quality of life measures. New York: Springer; 2010.

  52. Canadian Coalition for Senior's Mental Health. National guidelines for senior's mental health: The assessment and treatment of depresssion. Toronto: Canadian Coalition for Seniors' Mental Health; 2006.

  53. National Institute for Clinical Excellence. Depression: Management of depression in primary and secondary care. London: National Institute for Clinical Excellence; 2004.

  54. Nezu AM, Nezu CM, D'Zurilla T. Solving life's problems: a 5-step guide to enhanced well-being. New York: Springer; 2007.

    Google Scholar 

  55. National Committee for Quality Assurance. The veterans rand 12-item health survey Accessed 11 Dec 2019.

  56. National Institute of Mental Health. Center for epidemiologic studies depression scale (ces-d) Accessed 11 Dec 2019.

  57. Spitzer RL, Kroenke K, Williams JB, Lowe B. A brief measure for assessing generalized anxiety disorder: the gad-7. Arch Intern Med. 2006;166(10):1092–7.

    Article  PubMed  Google Scholar 

  58. Weinert C, Brandt P. Measuring social support with the personal resource questionnaire. West J Nurs Res. 1987;9(4):589–602.

    Article  CAS  PubMed  Google Scholar 

  59. Consumer Assessment of Healthcare Providers and Systems (CAHPS). Cahps clinician and group survey, version 3.0 Accessed 11 Dec 2019.

  60. de Witte L, Schoot T, Proot I. Development of the client-centred care questionnaire. J Adv Nurs. 2006;56(1):62–8.

    Article  PubMed  Google Scholar 

  61. Teale EA, Young JB. A patient reported experience measure (prem) for use by older people in community services. Age Ageing. 2015;44(4):667–72.

    Article  CAS  PubMed  Google Scholar 

  62. Thornton M, Travis SS. Analysis of the reliability of the modified caregiver strain index. J Gerontol B Psychol Sci Soc Sci. 2003;58(2):S127–32.

    Article  PubMed  Google Scholar 

  63. Browne G, Gafni A, Roberts J. Approach to the measurement of resource use and costs. Working paper 06–01. [Working paper]. In press 2006.

  64. Markle-Reid M, Gafni A, Ploeg J, Fisher K, Ark P. Health and social service utilization costing manual. Hamilton: McMaster University: Aging, Community and Health Research Unit (ACHRU); 2015. Contract No.: 001.

    Google Scholar 

  65. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4:50.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Peters DH, Adam T, Alonge O, Agyepong IA, Tran N. Implementation research: what it is and how to do it. BMJ. 2013;347:f6753.

    Article  PubMed  Google Scholar 

  67. Breimaier HE, Heckemann B, Halfens RJ, Lohrmann C. The consolidated framework for implementation research (cfir): a useful theoretical framework for guiding and evaluating a guideline implementation process in a hospital-based nursing practice. BMC Nurs. 2015;14:43.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.

    Article  PubMed  Google Scholar 

  69. Cabassa LJ, Gomes AP, Meyreles Q, Capitelli L, Younge R, Dragatsi D, et al. Using the collaborative intervention planning framework to adapt a health-care manager intervention to a new population and provider group to improve the health of people with serious mental illness. Implement Sci. 2014;9:178.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Kania J, Kramer M. Collective impact. Stanf Soc Innov Rev. 2011;Winter 2011:36–41.

  71. Kramer RM, Hanna BA, Su S, Wei J. Collective identity, collective trust, and social capital: Linking group identification and group cooperation. In: Turner ME, editor. Groups at work: Theory and research. 1st ed. New York: Psychology Press; 2014. p. 24.

    Google Scholar 

  72. Markle-Reid M, Ploeg J, Valaitis R, Duggleby W, Fisher K, Fraser K, et al. Protocol for a program of research from the aging, community and health research unit: promoting optimal aging at home for older adults with multimorbidity. J Comorb. 2018;8:1–16.

    Article  Google Scholar 

  73. Canadian Institutes of Health Research, Natural Sciences and Engineering Council of Canada, Social Sciences and Humanities Research Council of Canada. Tri-council policy statement: Ethical conduct for research involving humans: Ottawa, Government of Canada; 2018.

  74. Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, et al. Lost in knowledge translation: time for a map? J Contin Educ Heal Prof. 2006;26:13–24.

    Article  Google Scholar 

  75. Lavis JN, Boyko JA, Gauvin FP. Evaluating deliberative dialogues focussed on healthy public policy. BMC Public Health. 2014;14:1287.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Pitzul KB, Lane NE, Voruganti T, Khan AI, Innis J, Wodchis WP, et al. Role of context in care transition interventions for medically complex older adults: a realist synthesis protocol. BMJ Open. 2015;5:e008686.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Sidani S, Epstein DR, Moritz P. An alternative paradigm for clinical nursing research: an exemplar. Res Nurs Health. 2003;26:244–55.

    Article  PubMed  Google Scholar 

  78. Ernst E, Canter PH. Limitations of "pragmatic" trials. Postgrad Med J. 2005;81(954):203.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Ware JH, Hamel MB. Pragmatic trials--guides to better patient care? N Engl J Med. 2011;364(18):1685–7.

    Article  CAS  PubMed  Google Scholar 

  80. World Health Organization. Beginning with the end in mind: planning pilot projects and other programmatic research for successful scaling up. Geneva: World Health Organization; 2011.

    Google Scholar 

  81. Canadian Institute of Health Research. Strategy for patient oriented research - patient engagement framework Accessed 11 Dec 2019.

  82. Ganann R, McAiney C, Johnson W. Engaging older adults as partners in transitional care research. Can Med Assoc J. 2018;190:S40–S1.

    Article  Google Scholar 

  83. Premier's Council on Improving Healthcare and Ending Hallway Medicine. A health ontario: Building a sustainable health care system (2nd interim report from the premier's council on improving healthcare and ending hallway medicine). Toronto: Ontario Ministry of Health and Long-Term Care; 2019.

  84. Ryan D, Liu B, Awad M, Wong K. Improving older patients' experience in the emergency room: the senior-friendly emergency room. Aging Health. 2011;7(6):0.

    Article  CAS  Google Scholar 

  85. Allen K, Hutchinson AM, Brown R, Livingston PM. User experience and care for older people transitioning from hospital to home: Patients' and carers' perspectives. Health Expect. 2018;21(2):518–27.

    Article  PubMed  Google Scholar 

Download references


We thank the older adults who are participating in this study, as well as the Nurse Care Transition Coordinators (CTCs) in the participating communities who are providing the intervention. We also thank Hamilton Health Sciences, Joseph Brant Hospital, and Health Sciences North who are recruiting study participants, and one hospital site who is supplying and supervising the CTCs who provided the intervention. A final thanks to Brian Hyndman for his assistance preparing this paper, and the research team in the Aging, Community and Health Research Unit for supporting this study.


This study is supported by grants from the Ontario SPOR Support Unit IMPACT award (grant no: 60502), Available: and the Labarge Foundation, McMaster University (Available: This research will also be undertaken, in part, thanks to the funding from Dr. Markle-Reid’s Tier 2 CIHR Canada Research Chair (Available: The study was investigator-initiated. The funders of this study had no role in study design, data collection, data analysis, data interpretation, or writing the manuscript.

Author information

Authors and Affiliations



All authors read and approved the final version of the manuscript. MMR, CM, KF, and RG contributed to study conception and design, designing the intervention, obtaining study funding, and critically reviewing and revising the manuscript. CW wrote the first draft of the manuscript. JP, RV, AGaf, AGau, and GHT, contributed to study conception and design, designing the intervention, obtaining study funding, and critically reviewing the manuscript. AGau, DU and JM contributed to designing the intervention and critically reviewing the manuscript.

Corresponding author

Correspondence to Maureen Markle-Reid.

Ethics declarations

Ethics approval and consent to participate

Ethics approval was granted by the Hamilton Integrated Research Ethics Board (# 2586) in Hamilton, Ontario, Canada; the Office of Research Ethics at the University of Waterloo (#40867) in Waterloo, Ontario, Canada; the Laurentian University REB (#6009840) in Sudbury, Ontario, Canada, and two of the three study sites (Health Sciences North # 17–007; Joseph Brant Hospital #000–039-17) in Burlington and Sudbury, Ontario, Canada. Written informed consent will be obtained from all participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

Questionnaire to measure the effectiveness of the CAST intervention on older adults. This file includes the questionnaire that was used to measure the effectiveness of the CAST intervention on older adult outcomes from baseline to 6- and 12-months.

Additional file 2.

Questionnaire to measure the effectiveness of the CAST intervention on caregivers. This file includes the questionnaire that was used to measure the effectiveness of the CAST intervention on caregiver outcomes from baseline to 60 and 12-months.

Additional file 3.

Interview guide for older adult and caregiver participants receiving the CAST intervention. This file includes the interview guide that was developed to guide the semi-structured interviews with older adult and caregiver participants receiving the CAST intervention.

Additional file 4.

Interview guide for Care Transition Coordinators. This file includes the interview guide that was developed to guide the semi-structured interviews with the Care Transition Coordinators who delivered the CAST intervention.

Additional file 5.

Interview guide for Community Advisory Boards. This file includes the interview guide that was developed to guide the semi-structured interviews with the Community Advisory Boards.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Markle-Reid, M., McAiney, C., Ganann, R. et al. Study protocol for a hospital-to-home transitional care intervention for older adults with multiple chronic conditions and depressive symptoms: a pragmatic effectiveness-implementation trial. BMC Geriatr 20, 240 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: