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Using comprehensive geriatric assessment for older adults undertaking a facility-based transition care program to evaluate functional outcomes: a feasibility study

Abstract

Background

The study aimed to evaluate the feasibility of using a comprehensive geriatric assessment (CGA) in a residential transition care setting to measure older adults’ functional outcomes.

Methods

A convenience sample of older adults (n = 10) and staff (n = 4) was recruited. The feasibility of using assessment tools that comprise a CGA to comprehensively measure function in physical, cognitive, social and emotional domains was evaluated pre- and post-rehabilitation.

Results

10 older adults (mean ± SD age = 78.9 ± 9.1, n = 6 male) completed a CGA performed using assessments across physical, cognitive, social and emotional domains. The CGA took 55.9 ± 7.3 min to complete. Staff found CGA using the selected assessment tools to be acceptable and suitable for the transition care population. Older adults found the procedure to be timely and 60% found the assessments easy to comprehend. Participating in CGA also assisted older adults in understanding their present state of health. The older adults demonstrated improvements across all assessed domains including functional mobility (de Morton Mobility Index; baseline 41.5 ± 23.0, discharge 55.0 ± 24.0, p = 0.01) and quality of life (EQ-5D-5L; baseline 59.0 ± 21.7, discharge 78.0 ± 16.0, p < 0.01).

Conclusions

Incorporating CGA to evaluate functional outcomes in transition care using a suite of assessment tools was feasible and enabled a holistic assessment.

Peer Review reports

Background

More than one-third of older people who are admitted to hospital experience significant functional decline with reduced ability to perform activities of daily living (ADLs), including bathing and dressing [1, 2]. Additionally, around 40% of older people experience poorer performance with more complex instrumental ADLs (IADLs) such as shopping and cleaning [2, 3]. This is due to factors including poor pre-admission function, presence of multiple comorbidities and development of iatrogenic problems resulting from the hospitalization [3, 4]. This functional decline has been found to be significantly associated with an increased risk of falls after discharge, reduced independence, hospital readmissions, unplanned admissions to residential aged care (RAC) homes and mortality post-hospital discharge [3, 5, 6]. Falls related injuries occurring in the post hospital period have been found to be a leading readmission diagnosis [7]. Transition care programs (TCP) have been introduced in countries such as United Kingdom (UK), United States of America (USA), Canada and Australia to provide short-term therapeutic care to older people to help them regain functional ability and return to independent living after hospital discharge [8,9,10,11]. The programs aim to reduce hospital readmissions after discharge and reduce the need for unplanned admissions to RAC [8, 9]. Transition care programs are delivered by multidisciplinary teams and include physical therapy, occupational therapy, social work, nursing and personal care [8,9,10,11] in a variety of settings. In Australia they are delivered in residential care settings (facility-based TCP) or in the older adult’s home through a community clinic [12]. In the UK TCP can be delivered at home, in a facility-based model in a residential care setting or in a hospital [13]. Older people access transition care when they are at risk of poor discharge outcomes from hospital [12]. Those entering facility-based TCP tend to be of more advanced age and comorbidity with lower levels of physical and cognitive function compared with those discharged for restorative care at home [12, 14]. Multi-disciplinary assessment considerations for facility-based TCP include the older person having the capacity to benefit from additional targeted rehabilitation to complete their restorative process, enabling their return home to independent living [9]. Transition care programs including those that are provided in skilled nursing facilities in the USA, intermediate care in UK and TCP in Australia have been shown to improve older peoples’ clinical outcomes by reducing readmission to hospital and addressing their health care needs at times of transition, especially after acute hospital admissions [12, 15,16,17]. However, problems associated with TCP including those undertaken in facility-based settings have been identified. These included re-hospitalizations, the functional decline of patients admitted [15, 18,19,20] hence the need for more appropriate resources, including therapy that is of sufficient intensity [16, 18, 21].

Facility-based TCP have been found to improve older peoples’ [8,9,10, 22] performance in self-care and ADL performance on discharge [10, 12]. However, mixed results have been observed for their effectiveness in improving other functional outcomes for older people. Over 60% of older people in the USA demonstrated slow gait speed and poor physical function (measured using the Short Physical Performance Battery) at discharge from a skilled nursing facility in the USA [23]. Older people who completed facility-based TCP in Australia have been found to make improvement in ADL but are more likely to be admitted to RAC and have increased mortality compared to age-matched populations [12]. Changes in self-care in ADL is measured in both Australian and UK facility-based care using the Modified Barthel Index (MBI) [9]. However, in Australia, the MBI is the only mandated assessment tool for older people undertaking TCP [12]. The MBI only assesses the older adult in the performance of ADLs [24] without assessing impairments such as strength and balance [25, 26], or cognitive ability and social and emotional wellbeing that comprise function. Older adults admitted for TCP have complex conditions that broadly impact their physical and psychosocial wellbeing [12, 13]. If specific impairments representing these domains of function are not assessed, then deficits in abilities such as cognition, mobility, endurance, balance and falls risk may not be identified and subsequently treated. Therefore, more comprehensive assessments may be required for health professionals to understand how the older person is functioning and provide individualized rehabilitation [27]. Recent reviews of TCP in Australia and the UK have identified that the current assessment outcome measures may only provide limited information about the functional ability of older people undergoing TCP [28, 29]. National audits have recommended that outcome measures used should provide a more holistic picture of older peoples’ health status [17, 28]. A recent systematic review and meta-analysis synthesized the evidence for the effectiveness of TCP on health-related outcomes for older adults undertaking facility-based TCP after hospitalization [29]. This review found that while TCP improved older adults’ performance of ADL, other functional outcomes such as cognitive ability, emotional status and physical impairments such as balance were infrequently evaluated, making it uncertain if facility-based transition rehabilitation effectively assisted older adults to regain functional independence [29].

It has been suggested that implementing comprehensive geriatric assessment (CGA) could help tailor rehabilitation to older peoples’ needs [17, 28, 30]. Comprehensive geriatric assessment is a multi-dimensional assessment that aims to evaluate older people in terms of their impairments, functional capacities and needs in order to be able to develop a holistic plan of care [31, 32]. Frameworks of CGA vary but most often address function broadly categorized under physical, emotional, cognitive, and social domains, including for example walking ability, presence of depression, memory loss and home care supports [30,31,32]. An umbrella review of CGA reported that most settings undertaking CGA included medical, psychological, social and functional assessments [31]. As part of CGA, a set of valid and standardized outcome measures are essential to help healthcare professionals design tailored rehabilitation programs aimed at improving the functional status of older people to maximize their independence and quality of life (QoL) [33]. These assessments should identify impairments and activity limitations and evaluate changes in all four domains of function as described by CGA [33]. Utilizing a suite of standardized assessment tools has not been evaluated to determine feasibility in facility-based TCP. Despite previous recommendations specifying adopting a more holistic approach to assessment, identifying predictors of functional change and evaluating how to address measurement challenges [16, 17, 23, 28]. Therefore, it is important to determine what range of assessment tools are feasible to perform as part of a CGA for older adults undertaking facility-based TCP. These assessments could be used to measure the changes older adults make when completing rehabilitation. With the increased falls risk among older adults post-hospital discharge, the implementation of CGA can also play an essential role in evaluating falls risk in older adults undertaking facility-based TCP [34].

The primary aim of the study was to evaluate whether measuring older peoples’ functional outcomes using CGA was feasible in a facility-based transition care setting. The secondary aim was to evaluate if the assessments identified the impact of undertaking a facility-based TCP on older peoples’ functional outcomes across physical, mental, social and emotional domains. This feasibility study was intended to inform a planned prospective observational cohort study that would implement CGA for older people undertaking a facility-based TCP.

Methods

Study design

A feasibility study using pre-post test design was conducted between November 1 – December 31, 2020. Feasibility studies focus on the question “can it work?” in determining the acceptability and suitability of an intervention for a given population [35]. This can include the selection of outcome assessment tools, methodological procedures and resources required [35].

Participants and setting

The study was conducted at a 47-bed transition care facility located in Western Australia where older people were admitted for short-term restorative care. A convenience sample of older people were recruited. Older people and their families were informed about the study through advertisement using flyers placed throughout the facility. Researchers subsequently approached older people admitted to the facility to undertake a restorative TCP to provide more information about the study and answer questions about potential participation. Eligibility criteria were: being over 60 years of age, undertaking a restorative TCP for a minimum of 2 weeks, scoring > 23/30 on the Mini Mental State Examination (MMSE) [36], which has been shown to be a common cut-off value to categorize older people as having cognitive impairment [37, 38] and being able to provide written informed consent. Older people were excluded from the study if they did not speak English or were admitted to the facility to await admission to RAC or palliative care. Further restrictions due to the COVID-19 pandemic resulted in older people who were receiving care in isolation for infection control being excluded.

Health professional staff at the facility were also recruited to provide feedback about the feasibility of using the selected outcome measures. Recruitment utilized a short verbal presentation at a staff meeting and advertisement using flyers placed in the staff room. Inclusion criteria for staff were ability to communicate in English and employment at the facility in a clinical capacity for at least 3 months.

Outcome measures

A suite of assessment tools was chosen to measure the physical, social, emotional and cognitive functional outcomes based on the CGA framework [33] and are summarized in Appendix 1 [10, 23, 39,40,41]. These standardized and validated assessment tools were: the Modified Barthel Index (MBI) [24], de Morton Mobility Index (DEMMI) [42], Timed Up and Go (TUG) [43], 10-m Walk Test (10MWT) [44], Lawton scale [45], EQ-5D-5L [46], Patient Health Questionnaire-9 (PHQ-9) [47], Geriatric Depression Scale (GDS) [48] Mini Mental State Examination (MMSE) [36], and the Montreal Cognitive Assessment (MoCA) [49]. The MoCA and MBI were already being used for assessment at the participating facility. These tools are helpful in identifying impairments in areas including strength, balance and cognition, which reduce safe functional ability and predispose to falls and inability to participate in activities of daily living.

As part of CGA [50], participants’ history of falls [51], number of prescribed medications [52] and medical conditions were also recorded by the nurse participants at the point of admission to the facility. Demographic information was also collected by these nurses, including age, use of walking aids, care support prior to hospital admission, living situation prior to hospital admission, previous functional status, and length of stay in hospital. For the purpose of this feasibility study, patient goals were not assessed but these were included for participants as part of the usual care provided at the facility.

Older people were surveyed to gain their feedback regarding the acceptability of the assessment procedure. Four open-ended prompts were used regarding i) time taken for the assessment, ii) ease of completing the assessment, iii) usefulness of the assessment in helping them understand their health status, and iv) suggestions and feedback to improve the assessment experience. Participating staff undertook a short survey consisting of four items, including two open ended questions, to ascertain if they found it easy to administer each assessment tool and if any adverse events occurred. The open prompts asked staff to evaluate whether they felt it was i) acceptable to administer the chosen assessment tools and ii) whether they were suitable for the facility setting.

Data collection procedure

Older people were recruited during their first week of admission to the facility and their functional outcomes were measured using the suite of assessment tools. The occupational therapist administered the MMSE and MoCA, nurses administered the MBI and physiotherapists administered the other assessments (10MWT, DEMMI, TUG, EQ-5D-5L, Lawton scale, GDS and PHQ-9). Questionnaires were conducted face to face at the older adult’s bedside, while physical assessment items were conducted in their room and along the corridors of the facility. The functional outcomes were re-measured at discharge using the procedure previously described.

On completion of the suite of assessments the researcher conducted the feasibility evaluation survey one-to-one with participating older people and staff. Responses were noted verbatim by the researcher.

Data analysis

Data were analyzed using Stata version 16.0 (StataCorp, College Station, Texas, USA). Quantitative data for the feasibility criteria of assessment completion and time taken were summarized using descriptive statistics and reported as frequencies and proportions. Responses to survey questions seeking categorical information, such as suitability and acceptability, were subjected to quantitative content analysis [53]. Data were extracted based on the number and frequency of categories identified within each document [53]. Results were summarized using counts and exemplar statements. The researchers engaged in dialogue to reach agreement on the coding and analysis.

Quantitative data for each functional outcome across the physical, social, emotional and cognitive domains were summarized using descriptive statistics. Data were not normally distributed, except for the EQ-5D-5L, therefore changes in functional outcomes between baseline and discharge were analyzed using Wilcoxon signed-rank tests. Changes in the EQ-5D-5L were analyzed using the paired t-test. Statistical significance was set at p ≤ 0.05 for all analyses (two-sided). Identified changes in outcomes between baseline and discharge were subsequently compared to established Minimal Clinically Significant Differences (MCID) for each outcome, where MCID had been previously described [39, 54,55,56,57,58,59,60,61,62,63]. Outcomes where MCID was achieved at discharge were noted.

The sample size was estimated pragmatically based on implementation at a single site over a short time frame, the facility’s current admission rate, the range of patients, the information required as to how long assessments would take, whether patients and staff could complete the chosen assessment tools and whether the tools identified changes in impairments in this population. This was designed to inform the choice of measurement tools for future conduction of a larger prospective study in the TCP population [64]. Whilst 6 to 8 participants were deemed feasible, the sample size was set at n = 12 to allow for loss to follow up or withdrawal, this yielded the data presented.

Results

There were 23 admissions to restorative TCP at the facility during the recruitment period. Seventeen of the 23 older people approached met eligibility criteria and of those, five declined to participate. Twelve older people enrolled in the study but two withdrew prior to measurement due to unexpected discharge from their TCP. Therefore, ten older people (mean age 78.9 years, SD ± 9.1 years) completed baseline and discharge measurements (median LOS 46 days, IQR 26), further details of their characteristics are presented in Table 1. There were 10 staff who were eligible to participate in the study. Of those, five health professionals (one occupational therapist, two nurses, and two physiotherapists) enrolled in the study, with remaining staff citing lack of time available to participate due to additional commitments covering staff leave. Staff participants had a mean (standard deviation) of 13.4 (13.0) years of clinical practice experience and their mean length of experience working in transition care was 3 (2.4) years.

Table 1 Participant characteristics

Primary aim—evaluating the feasibility of using CGA to measure older peoples’ functional outcomes

The suite of assessments took 55.9 ± 7.3 min to complete. As the MoCA was administered separately, the time taken for completion was not included in combined data reported above. The occupational therapist estimated that between 30—60 min was required to complete the MoCA depending on the older adult’s cognitive ability.

All ten older people reported feeling positive regarding their overall assessment experience; specifically feeling capable of participating in the assessments and well informed regarding their current health status. They expressed satisfaction at knowing how they performed in the assessments. Most older people felt the assessment procedure was not too time consuming, however, one participant suggested that “30 min would be better” suggesting that a shorter duration might be a consideration. Six (60%) older people found the assessments easy to comprehend, while three (30%) commented that they lost a bit of focus due to the length and number of questions across all measures. One participant commented that some questions were “not usual questions that get asked.” Eight (80%) participants reported knowing their assessment findings helped them understand their own abilities and wellbeing better. For example, one participant stated, “it’s good to know what you’re capable of and if you’re improving.” Two older people also responded regarding participation in the assessments commenting, “it helped relieve boredom as there is nothing much to do at the facility”.

Details of the staffs’ evaluation regarding the suitability and acceptability of the selected suite of assessments are presented in Table 2. All staff (n = 5) reported that the assessment tools they administered were easy to complete, with zero adverse events reported during the study period. Staff agreed that the assessments provided useful information for rehabilitation and care planning. When administering the GDS staff perceived it was less acceptable for some older people, as questions regarding suicidal thoughts and death engendered some signs of discomfort.

Table 2 Evaluation of selected outcome measures for CGA

Secondary aim: evaluate if the assessments identified the impact of undertaking a facility-based TCP on older peoples’ functional outcomes across physical, mental, social and emotional domains

Administration of the selected assessment tools showed they were able to identify changes in older peoples’ functional outcomes on undertaking facility-based TCP. Identified changes in older peoples’ functional outcomes are presented in Table 3 and identified changes in the 10MWT, EQ-5D-5L, MoCA and PHQ-9 assessments are also presented in Fig. 1. There were significant improvements at discharge compared to admission in: ADL performance measured by the MBI, gait speed measured by the 10MWT, mobility measured by the DEMMI and health-related quality of life as measured by the EQ-5D-5L. There was a significant reduction in depressive symptoms as measured by the GDS and a significant decline in IADL performance as measured by the Lawton scale at discharge compared to admission.

Table 3 Changes in older adults’ functional outcomes during a TCP
Fig. 1
figure 1

Changes in older adults’ functional outcomes measured at admission and discharge; a Gait speed, b Cognitive ability, c Emotional wellbeing, d Social wellbeing

Mean changes for each functional outcome compared to established MCID are presented in Table 4. Older people demonstrated clinically significant improvements in two of four outcomes in the physical domain and one outcome in each of the social, cognitive and emotional domains. Conversely, there was a clinically significant decline in IADL performance as measured by the Lawton scale.

Table 4 Changes in the MCID for functional outcome measures during TCP

Discussion

Findings from this study demonstrated that it was feasible to measure older peoples’ functional outcomes using CGA in a residential transition care setting, enabling a holistic, tailored approach to rehabilitation programming. The use of CGA in different health settings, such as hospitals, and rehabilitation facilities with multidisciplinary teams has been shown to allow patients to receive holistic care from appropriate healthcare professionals [31, 32]. To our knowledge the feasibility of using CGA in TCP has not been previously reported, although recent reviews of TCP in Australia (including facility-based TCP) suggest a more comprehensive and holistic assessment of older people is required [12, 17, 29]. The outcome measures chosen for inclusion in CGA were able to identify clinically significant changes in older peoples’ function in the physical, social, cognitive and emotional domains at program completion. Our study employed an observational design, whereby the CGA was assessed for its feasibility to identify changes made by older participants and not to tailor treatment or alter TCP. However, the inclusion of CGA in settings other than TCP has been found to assist therapists tailor rehabilitation to meet the needs of community-dwelling older people, making programs more effective in reducing frailty and improving functional outcomes [50, 65].

Acceptability and suitability of procedures and assessment measures

All assessments were reported as acceptable as they provided useful clinical information, were easily administered and caused no adverse events. Staff felt that overall, the assessments were suitable for older people undertaking a facility-based TCP with minimal floor or ceiling effects. The PHQ-9 was deemed a more suitable primary assessment of wellbeing compared with the GDS in this population, as it was perceived to be more conducive to older people for disclosing their emotional needs. Although assessment tools such as the TUG and 10MWT were useful in identifying underlying impairments and activity limitations causing poor physical function in ambulant individuals [44], some older people were unable to undertake them due to being non-ambulant on admission. Completing CGA was found to require an increased time commitment compared with the current assessment procedure. The research conditions also meant eight assessments were administered in a single contact session, which was a little overwhelming for some participants. However, the short duration taken to complete each individual assessment, when shared amongst the multidisciplinary staff, administered at different contact times could contribute to improved acceptability. While it was not always possible to match the most appropriate health professional with the CGA tool (e.g. clinical psychologist to conduct GDS) due to work roster availability at the time an older adult was recruited, this did not hinder the completion of CGA. Importantly, older people who completed CGA expressed satisfaction at knowing how they performed across the range of assessments. They commented that the assessments provided them with a better understanding of their health and wellbeing and the relevance of rehabilitation, making them feel more confident to participate in TCP. Older people in US inpatient settings similarly expressed the need to understand the reasons and potential benefits for undertaking further rehabilitation, rather than returning home, in order to commit to program participation [66]. Three participants expressed that they felt they lost some focus due the length of the questions, which could be due to fatigue related to medical illness, reduced health literacy or cognitive impairments. However, all were able to complete the assessments in a reasonable time frame.

Changes in older peoples’ functional outcomes

The MBI, which is mandated in TCP, identifies older peoples’ limitations with ADL performance represented in the physical domain of function only [24]. The inclusion of outcome measures representing the other domains of function, as part of CGA, informs healthcare providers regarding an older adult’s social, cognitive and emotional wellbeing contributing to a more holistic picture of function [32]. The older people in our study recorded slower times on the 10MWT and TUG gait measures compared with normative values for community-dwelling older people [44]. Gait speeds are correlated with physical aspects of function, such as the ability to rise from a chair or safely cross a road [44]. The slower gait speed findings suggest that these measures could be useful for evaluation of older people in facility-based TCP to identify which individuals could benefit from additional rehabilitation aimed at improving mobility for safer and successful return to community living [43, 44]. The assessment tools chosen could also provide useful information about falls risk, which is known to be a major problem in this population [5,6,7]. Gait speed and the TUG test provide information about mobility, strength and balance impairments all of which are established falls risk factors among older people, especially those with a previous history of falls [51, 67]. Older peoples’ IADL performance, as measured by the Lawton scale, declined during the study period. A prior trial also reported that participation in hospital-based transitional rehabilitation had no impact on older peoples’ IADL performance [68]. This suggests completing an IADL assessment such as the Lawton scale could be important. If a gap exists, where a decline in IADL performance is not addressed by the current rehabilitation components making up a TCP, this could increase the risk of the older person having poorer functional outcomes, such as reduced independence or unplanned admissions to RAC [1,2,3]. A study in the Netherlands explored the implementation of short term residential care, which included admissions from hospital for further rehabilitation, with similar aims to facility-based TCP in Australia [18]. This study found that pre-existing functional decline is rarely addressed and that good treatment for this and other problems is required in intermediate care settings [18].

Clinically significant changes were observed in six of the ten selected outcome measures. Similar findings were reported in previous studies of TCP, where clinically significant changes were reported for gait speed and the functional mobility [10, 23, 39]. The ability of the selected outcome measures to detect MCIDs is also important as it means the TCP was able to elicit a clinical improvement that was meaningful and beneficial to the older adult [44].

Strengths and limitations of the research

A key strength of this study was having facility staff conduct the suite of assessments, as their understanding of and experience in TCP enabled them to assess and evaluate whether they were suitable for the TCP population. The assessment tools chosen are frequently used by health professionals in a broad range of settings [42,43,44,45,46,47, 54,55,56]. However, due to research time constraints we were unable to access the discipline-specific health professional staff member to complete the relevant assessment at all times (e.g. Clinical psychologist conducting the GDS) meaning some assessments were completed by another health professional. We acknowledge that assessments were only conducted at admission and discharge, which was a pragmatic consideration to reflect the likelihood of CGA being implemented within current workloads, future work could consider measurement at additional timepoints. Another key strength of the study was that older people participated and provided a patient’s perspective about the feasibility of undertaking these assessments. Participants included older people with different primary diagnoses and mobility levels that reflected the characteristics of those admitted to the facility-based TCP [12].

Limitations of the study were the small sample size and single site. The small sample size for the study may have potentially contributed to inaccuracies in the changes detected at discharge from TCP, such as the decline in IADL performance. While the suite of assessments proved feasible to conduct in our facility-based setting, findings could be better generalized to populations undertaking TCP with a larger sample size, involving more facilities and settings across different countries. One participant was non ambulant and therefore could not complete two assessments (TUG and 10mwt). However, their other functional outcomes were able to be evaluated using all other measures, including HRQOL and self-care. Therefore, their data were included as it was felt that this older person was representative of a sub-cohort of the population admitted to TCP in Australia.

We did not include older people with moderate or severe dementia. However, these older adults form a smaller proportion of the admissions to residential transition care and may be admitted to await residential care placement, rather than undertake rehabilitation [12]. This is an area for future study as inclusion of cognitive assessments (MMSE and MoCA), which are validated and used in rehabilitation settings, can help identify patients with cognitive deficits that may benefit from therapy and hence tailor programs accordingly [29, 30]. There was a lack of established MCIDs based on TCP populations for most of the selected outcome measures. Hence the outcome measures were selected based on their use in previous TCP studies, as well as their validity, reliability and clinical suitability for the TCP population [10, 23, 39,40,41]. While it was feasible to use these assessment tools to measure changes in function, applying a CGA did not cause improvements in function in this cohort. In our study the CGA did not contribute to therapists’ decision making and was not used to guide treatment. Further research is required to determine if CGA could be used to tailor treatments in TCP and if this would result in improvement in function compared to not using CGA. A systematic review found that using CGA in home and hospital settings could lead to better health outcomes for older people [65].

Conclusions

This study demonstrated that measuring older peoples’ functional outcomes using CGA was feasible in a transition care setting. Staff found the outcome measures provided useful information and that the selected assessments were able to preliminarily identify clinically significant changes across physical, social and emotional domains. These findings may be useful for health professionals to develop a suite of assessments that assist them in tailoring rehabilitation for older peoples’ functional needs prior to discharge, facilitating a smoother transition to community living. Future research with a larger sample size, across a range of TCP settings and countries is required to evaluate the impact of CGA in TCP on improving functional outcomes for older people.

Availability of data and materials

The datasets used and/or analyzed during the current study cannot be made publicly available as participants did not provide consent for their data to be shared. Further details regarding the data and ethical conditions for access are available from the corresponding author on reasonable request.

References

  1. Martínez-Velilla N, Sáez de Asteasu ML, Ramírez-Vélez R, Zambom-Ferraresi F, García-Hermoso A, Izquierdo M. Recovery of the decline in activities of daily living after hospitalization through an individualised exercise program: secondary analysis through an individualized exercise program: secondary analysis of a randomized clinical trial. J Gerontol A Biol Sci Med Sci. 2021;76:1519–23.

    Article  PubMed  Google Scholar 

  2. Li X, Zheng T, Guan Y, Li H, Zhu K, Shen L, et al. ADL recovery trajectory after discharge and its predictors among baseline-independent older inpatients. BMC Geriatr. 2020;20:86–86.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hoogerduijn JG, Buurman BM, Korevaar JC, Grobbee DE, de Rooij SE, Schuurmans MJ. The prediction of functional decline in older hospitalised patients. Age Ageing. 2012;41:381–7.

    Article  PubMed  Google Scholar 

  4. Zisberg A, Shadmi E, Gur-Yaish N, Tonkikh O, Sinoff G. Hospital-associated functional decline: the role of hospitalization processes beyond individual risk factors. J Am Geriatr Soc. 2015;63:55–62.

    Article  PubMed  Google Scholar 

  5. Hill AM, McPhail SM, Haines TP, Morris ME, Etherton-Beer C, Shorr R, et al. Falls after hospital discharge: a randomized clinical trial of individualized multimodal falls prevention education. J Gerontol A Biol Sci Med Sci. 2019;74:1511–7.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Naseri C, Haines TP, Etherton-Beer C, McPhail S, Morris ME, Flicker L, et al. Reducing falls in older adults recently discharged from hospital: a systematic review and meta-analysis. Age Ageing. 2018;47:512–9.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Hoffman GJ, Liu H, Alexander NB, Tinetti M, Braun TM, Min LC. Posthospital fall injuries and 30-day readmissions in adults 65 years and older. JAMA Netw Open. 2019;2:e194276.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Age UK. Intermediate care and reablement. In: Age UK Love later life. 2022. https://www.ageuk.org.uk/globalassets/age-uk/documents/factsheets/fs76_intermediate_care_and_reablement_fcs.pdf. Accessed 4 Jan 2022.

  9. Australian Government Department of Health. Transition care programme guidelines. Canberra: Department of Health; 2019. (https://www.health.gov.au/resources/publications/transition-care-programme-guidelines. Accessed 16 Apr 2021).

    Google Scholar 

  10. Leung G, Katz PR, Karuza J, Arling GW, Chan A, Berall A, et al. Slow stream rehabilitation: a new model of post-acute care. J Am Med Dir Assoc. 2016;17:238–43.

    Article  PubMed  Google Scholar 

  11. Medicare. Skilled nursing facility (SNF) care. U.S. Centers for Medicare and Medicaid Services. https://www.medicare.gov/coverage/skilled-nursing-facility-snf-care#. Published n.d. Accessed 16 Apr 2021.

  12. Cations M, Lang C, Crotty M, Wesselingh S, Whitehead C, Inacio MC. Factors associated with success in transition care services among older people in Australia. BMC Geriatr. 2020;20:496.

    Article  PubMed  PubMed Central  Google Scholar 

  13. NHS Benchmarking Network. Intermediate care benchmarking 2020 summary report. 2021. (file:///C:/Users/00108354/AppData/Local/Microsoft/Windows/INetCache/Content.Outlook/4NPOM9LP/IC%20summary%20report%202020%20FINAL.pdf Accessed 02 May 2022).

    Google Scholar 

  14. Werner RM, Coe NB, Qi M, Konetzka RT. Patient outcomes after hospital discharge to home with home health care vs to a skilled nursing facility. JAMA Intern Med. 2019;179:617–23.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hirschman K, Shaid E, McCauley K, Pauly M, Naylor M. Continuity of care: the transitional care model. Online J Issues Nurs. 2015;20:1.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  17. Young J, Gladman JRF, Forsyth DR, Holditch C. The second national audit of intermediate care. Age Ageing. 2015;44:182–4.

    Article  PubMed  Google Scholar 

  18. Van den Besselaar JH, Hartel L, Wammes JD, MacNeil-Vroomen JL, Buurman BM. “Patients come with two garbage bags full of problems and we have to sort them.” a qualitative study of the experiences of healthcare professionals on patients admitted to short-term residential care in the Netherlands. Age Ageing. 2021;50:1361–70.

    Article  PubMed  Google Scholar 

  19. Valverde PA, Ayele R, Leonard C, Cumbler E, Allyn R, Burke RE. Gaps in hospital and skilled nursing facility responsibilities during transitions of care: a comparison of hospital and SNF clinicians’ perspectives. J Gen Intern Med. 2021;36:2251–8.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Liebzeit D, Rutkowski R, Arbaje AI, Fields B, Werner NE. A scoping review of interventions for older adults transitioning from hospital to home. J Am Geriatr Soc. 2021;69:2950–62.

    Article  PubMed  Google Scholar 

  21. Prusynski RA, Gustavson AM, Shrivastav SR, Mroz TM. Rehabilitation intensity and patient outcomes in skilled nursing facilities in the United States: a systematic review. Phys Ther. 2021;101:pzaa230.

    Article  PubMed  Google Scholar 

  22. Mallinson T, Deutsch A, Bateman J, Tseng HY, Manheim L, Almogor O, et al. Comparision of discharge functional status after rehabilitation in skilled nursing, home health, and medical rehabilitation settings for patients after hip fracture repair. Arch Phys Med Rehabil. 2014;95:209–17.

    Article  PubMed  Google Scholar 

  23. Gustavson AM, Falvey JR, Forster JE, Stevens-Lapsley JE. Predictors of functional change in a skilled nursing facility population. J Geriatr Phys Ther. 2019;42:189–95.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Shah S, Vanclay F, Cooper B. Improving the sensitivity of the Barthel Index for stroke rehabilitation. J Clin Epidemiol. 1989;42:703–9.

    Article  CAS  PubMed  Google Scholar 

  25. Australian Health Ministers’ Advisory Council. Best practice approaches to minimise functional decline in the older person across the acute, sub-acute and residential aged care settings. Melbourne: Victorian Government Department of Human Services; 2004.

    Google Scholar 

  26. González-Seguel F, Corner EJ, Merino-Osorio C. International classification of functioning, disability, and health domains of 60 physical functioning measurement instruments used during the adult intensive care unit stay: a scoping review. Phys Ther. 2018;99:627–40.

    Article  PubMed Central  Google Scholar 

  27. Liebzeit D, King B, Bratzke L, Boltz M. Improving functional assessment in older adults transitioning from hospital to home. Prof Case Manag. 2018;23:318–26.

    Article  PubMed  PubMed Central  Google Scholar 

  28. KPMG. Review of the transition care programme. Canberra: Department of Health; 2019.

    Google Scholar 

  29. Hang JA, Naseri C, Francis-Coad J, Jacques A, Waldron N, Knuckey R, et al. Effectiveness of facility-based transition care on health-related outcomes for older adults: A systematic review and meta-analysis. Int J Older People Nurs. 2021;28: e12408.

    Google Scholar 

  30. McGilton KS, Vellani S, Krassikova A, Robertson S, Irwin C, Cumal A, et al. Understanding transitional care programs for older adults who experience delayed discharge: a scoping review. BMC Geriatr. 2021;21:210–210.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Parker SG, McCue P, Phelps K, McCleod A, Arora S, Nockels K, et al. What is comprehensive geriatric assessment (CGA)? An umbrella review Age Ageing. 2018;47:149–55.

    Article  CAS  PubMed  Google Scholar 

  32. Stoop A, Lette M, van Gils PF, Nijpels G, Baan CA, de Bruin SR. Comprehensive geriatric assessments in integrated care programs for older people living at home: A scoping review. Health Soc Care Community. 2019;27:e549–66.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Jiang S, Li P. Current development in elderly comprehensive assessment and research methods. Biomed Res Int. 2016;2016:3528248–3528248.

    PubMed  PubMed Central  Google Scholar 

  34. Pasquetti P, Apicella L, Mangone G. Pathogenesis and treatment of falls in elderly. Clin Cases Miner Bone Metab. 2014;11:222–5.

    PubMed  PubMed Central  Google Scholar 

  35. Orsmond GI, Cohn ES. The distinctive features of a feasibility study: objectives and guiding questions. OTJR. 2015;35:169–77.

    PubMed  Google Scholar 

  36. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–98.

    Article  CAS  PubMed  Google Scholar 

  37. Sourdet S, Brechemier D, Steinmeyer Z, Gerard S, Balardy L. Impact of the comprehensive geriatric assessment on treatment decision in geriatric oncology. BMC Cancer. 2020;20:384.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Tsoi KK, Chan JY, Hirai HW, Wong SY, Kwok TC. Cognitive tests to detect dementia: a systematic review and meta-analysis. JAMA Intern Med. 2015;175:1450–8.

    Article  PubMed  Google Scholar 

  39. de Morton NA, Brusco NK, Wood L, Lawler K, Taylor NF. The de Morton Mobility Index (DEMMI) provides a valid method for measuring and monitoring the mobility of patients making the transition from hospital to the community: an observational study. J Physiother. 2011;57:109–16.

    Article  PubMed  Google Scholar 

  40. Fiorini G, Pandini S, De Matthaeis A, Seresini M, Dragoni R, Sfogliarini R. Intermediate care as a means of improving mental status in post-acute elderly patients. Aging Clin Exp Res. 2013;25:337–41.

    Article  PubMed  Google Scholar 

  41. Lawler K, Shields N, Taylor NF. Training family to assist with physiotherapy for older people transitioning from hospital to the community: a pilot randomized controlled trial. Clin Rehabil. 2019;33:1625–35.

    Article  PubMed  Google Scholar 

  42. de Morton NA, Davidson M, Keating JL. The de Morton Mobility Index (DEMMI): an essential health index for an ageing world. Health Qual Life Outcomes. 2008;6:63–63.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Podsiadlo D, Richardson S. The Timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39:142–8.

    Article  CAS  PubMed  Google Scholar 

  44. Steffen TM, Hacker TA, Mollinger L. Age- and gender-related test performance in community-dwelling elderly people: Six-Minute Walk Test, Berg Balance Scale, Timed Up & Go Test, and gait speeds. Phys Ther. 2002;82:128–37.

    Article  PubMed  Google Scholar 

  45. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9:179–86.

    Article  CAS  PubMed  Google Scholar 

  46. Kind P, Brooks R, Rabin R. EQ-5D concepts and methods: A developmental history. 2005.

    Book  Google Scholar 

  47. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982;17:37–49.

    Article  PubMed  Google Scholar 

  49. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–9.

    Article  PubMed  Google Scholar 

  50. Wilkinson I, Harper A. Comprehensive geriatric assessment, rehabilitation and discharge planning. Medicine. 2021;49:10–6.

    Article  Google Scholar 

  51. Panel on Prevention of Falls in Older Persons, American Geriatrics Society, British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59:148–57.

    Article  Google Scholar 

  52. Khezrian M, McNeil CJ, Murray AD, Myint PK. An overview of prevalence, determinants and health outcomes of polypharmacy. Ther Adv Drug Saf. 2020;11:2042098620933741.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Neuendorf KA, editor. The content analysis guidebook. 2nd ed. California: Sage Publications; 2016.

    Google Scholar 

  54. Hsieh YW, Wang CH, Wu SC, Chen PC, Sheu CF, Hsieh CL. Establishing the minimal clinically important difference of the Barthel Index in stroke patients. Neurorehabil Neural Repair. 2007;21:233–8.

    Article  PubMed  Google Scholar 

  55. Gautschi OP, Stienen MN, Corniola MV, Joswig H, Schaller K, Hildebrandt G, et al. Assessment of the minimum clinically important difference in the Timed Up and Go test after surgery for lumbar degenerative disc disease. Neurosurgery. 2017;80:380–5.

    Article  PubMed  Google Scholar 

  56. Bohannon RW, Glenney SS. Minimal clinically important difference for change in comfortable gait speed of adults with pathology: a systematic review. J Eval Clin Pract. 2014;20:295–300.

    Article  PubMed  Google Scholar 

  57. Suijker JJ, van Rijn M, Ter Riet G, Moll van Charante EP, de Rooij SE, Buurman BM. Minimal important change and minimal detectable change in activities of daily living in community-living older people. J Nutr Health Aging. 2017;21:165–72.

    Article  CAS  PubMed  Google Scholar 

  58. Pickard AS, Neary MP, Cella D. Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Outcomes. 2007;5:70–70.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. 2004;42:1194–201.

    Article  PubMed  Google Scholar 

  60. Vinkers DJ, Gussekloo J, Stek ML, Westendorp RGJ, van der Mast RC. The 15-item Geriatric Depression Scale (GDS-15) detects changes in depressive symptoms after a major negative life event. The Leiden 85-plus Study. Int J Geriatr Psychiatry. 2004;19:80–4.

    Article  PubMed  Google Scholar 

  61. Watt JA, Veroniki AA, Tricco AC, Straus SE. Using a distribution-based approach and systematic review methods to derive minimum clinically important differences. BMC Med Res Methodol. 2021;21:41.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Wong GKC, Mak JSY, Wong A, Zheng VZY, Poon WS, Abrigo J, et al. Minimum clinically important difference of Montreal Cognitive Assessment in aneurysmal subarachnoid hemorrhage patients. J Clin Neurosci. 2017;46:41–4.

    Article  PubMed  Google Scholar 

  63. Wu CY, Hung SJ, Lin KC, Chen KH, Chen P, Tsay PK. Responsiveness, minimal clinically important difference, and validity of the MoCA in stroke rehabilitation. Occup Ther Int. 2019;2019:2517658.

    PubMed  PubMed Central  Google Scholar 

  64. Tickle-Degnen L. Nuts and bolts of conducting feasibility studies. Am J Occup Ther. 2013;67:171–6.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Pilotto A, Cella A, Pilotto A, Daragjati J, Veronese N, Musacchio C, et al. Three decades of comprehensive geriatric assessment: evidence coming from different healthcare settings and specific clinical conditions. J Am Med Dir Assoc. 2017;18:192.e1-192.e11.

    Article  Google Scholar 

  66. Sefcik JS, Ritter AZ, Flores EJ, Nock RH, Chase JD, Bradway C, et al. Why older adults may decline offers of post-acute care services: a qualitative descriptive study. Geriatr Nurs. 2017;38:238–43.

    Article  PubMed  Google Scholar 

  67. Moncada LVV, Mire LG. Preventing falls in older persons. Am Fam Physician. 2017;96:240–7.

    PubMed  Google Scholar 

  68. Buurman BM, Parlevliet JL, Allore HG, Blok W, van Deelen BAJ, Moll van Charante EP, et al. Comprehensive geriatric assessment and transitional care in acutely hospitalized patients: the transitional care bridge randomized clinical trial. JAMA Intern Med. 2016;176:302–9.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors sincerely thank the Amana Living staff and clients for their support and assistance during the research.

Funding

Professor Anne-Marie Hill receives salary support through a National Health and Medical Research Council of Australia Career Development Fellowship. Ms. Jo-Aine Hang is undertaking this research as part of her doctoral studies with the support of an Australian Government Research Training Program Scholarship.

Author information

Authors and Affiliations

Authors

Contributions

YGW, AMH, JFC and JAH led the research design and assisted with monitoring the research. JAH and AMH led the research procedure with support from JFC and YGW. JAH led data collection with assistance from JFC. AMH, JAH and WYG contributed to statistical analysis. YGW led drafting of the manuscript and all authors provided critical evaluation and approval of the final submitted manuscript.

Corresponding author

Correspondence to Jacqueline Francis-Coad.

Ethics declarations

Ethics approval and consent to participate

The study was approved by Curtin University’s human research ethics committee (approval number HRE2020-0506) and the participating organization’s clinical governance committee (Amana Living Inc.). All participants provided written informed consent prior to participating in the study. The study was conducted in accordance with ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments.

Consent for publication

Not applicable.

Competing interests

Professor Anne-Marie Hill is an Associate Editor for BMC Geriatrics. The authors declare no conflict of interest.

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The original online version of this article was revised: in section ‘Strengths and limitations of the research’, paragraph one, second sentence, ‘[42-47, 64-56]’ should have read ‘[42-47, 54-56]’.

Supplementary Information

Additional file 1: Table 1.

Summary of assessment tools used as part of comprehensive geriatric assessment.

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Wong, Y.G., Hang, JA., Francis-Coad, J. et al. Using comprehensive geriatric assessment for older adults undertaking a facility-based transition care program to evaluate functional outcomes: a feasibility study. BMC Geriatr 22, 598 (2022). https://doi.org/10.1186/s12877-022-03255-5

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Keywords

  • Continuity of care
  • Intermediate care
  • Transition care
  • Rehabilitation
  • Outcome measures
  • Comprehensive geriatric assessment