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The impact of interventions on management of frailty in hospitalized frail older adults: a systematic review and meta-analysis

BMC Geriatrics volume 20, Article number: 526 (2020) Cite this article

Abstract

Background

One of the most challenging issues for the elderly population is the clinical state of frailty. Frailty is defined as a cumulative decline across psychological, physical, and social functioning. Hospitalization is one of the most stressful events for older people who are becoming frail. The aim of the present study was to determine the effectiveness of interventions focused on management of frailty in hospitalized frail older adults.

Methods

A systematic review and meta-analysis of research was conducted using the Medline, Embase, Cochrane, ProQuest, CINAHL, SCOPUS and Web of Science electronic databases for papers published between 2000 and 2019. Randomized controlled studies were included that were aimed at the management of frailty in hospitalized older adults. The outcomes which were examined included frailty; physical, psychological, and social domains; length of stay in hospital; re-hospitalization; mortality; patient satisfaction; and the need for post discharge placement.

Results

After screening 7976 records and 243 full-text articles, seven studies (3 interventions) were included, involving 1009 hospitalized older patients. The quality of these studies was fair to poor and the risk of publication bias in the studies was low. Meta-analysis of the studies showed statistically significant differences between the intervention and control groups for the management of frailty in hospitalized older adults (ES = 0.35; 95% CI: 0. 067–0.632; z = 2.43; P < 0.015). However, none of the included studies evaluated social status, only a few of the studies evaluated other secondary outcomes. The analysis also showed that a Comprehensive Geriatric Assessment unit intervention was effective in addressing physical and psychological frailty, re-hospitalization, mortality, and patient satisfaction.

Conclusions

Interventions for hospitalized frail older adults are effective in management of frailty. Multidimensional interventions conducted by a multidisciplinary specialist team in geriatric settings are likely to be effective in the care of hospitalized frail elderly. Due to the low number of RCTs carried out in a hospital setting and the low quality of existing studies, there is a need for new RCTs to be carried out to generate a protocol appropriate for frail older people.

Peer Review reports

Background

Across the world, the elderly population is growing rapidly. It is expected that the elderly population will reach 2 billion people in 2050 [1] which raises serious concerns for the management and planning of health systems [2]. One of the most challenging issues for the elderly population is the clinical state of frailty [1]. Frailty is a new concept in medical sciences that is defined as “a clinically recognizable state of increased vulnerability that is the result of aging-related decline in function across multiple physiological organ systems such that the ability to cope with every day or acute stressors is compromised” [3]. There are two principal approaches to defining frailty, the frailty phenotype and the accumulation of deficits [4]. The phenotype approach of frailty uses the biological syndrome model, determining weight loss, exhaustion, weakness, low physical activity, and slowness. The accumulation of deficits recognizes that frailty results from an accumulation of abnormal features consisted of physical impairment, cognitive disorders, depressive symptoms, reduced functionality, multiple diseases, malnutrition, social isolation. In other words, physical features are a manifestation of frailty in phenotype approach, whereas causes of frailty indicate frailty in the accumulation of deficits [5, 6]. It is estimated that the incidence of frailty and pre-frailty in community-dwelling older adults are approximately 43 and 151 new cases per 1000 person-years, respectively [7].

Frailty refers to diminished physiological reserves to preserve homeostasis [3]. The frail older peoples are highly vulnerable adverse health outcomes when exposed to an internal or external stressor. One of the most stressful events for older people is hospitalization. It can be the cause of incidents which worsen the frailty of older people [8]. The prevalence of frailty in geriatric inpatients, depending on the evaluation tool used, ranges from 48.8 to 80% [9, 10]. Chen et al. (2019) demonstrated that the prevalence of hospitalized frail older adults, evaluated with Fried’s frailty phenotype, was 40% [11]. Frailty in hospitalized elderly predisposes them to falling [12], to delirium [13], to low quality of life [12], clinical deterioration [14], dependency [15], increase in length of hospital stay [16], poor recovery [17], ICU admission [18], institutional placement [14], rise in healthcare expenditure [19] and finally, frailty leads to the earlier death of patients [20].

Frailty is thought to be manageable in hospital with interventions such as physiotherapy [21], nutrition therapy [11], and comprehensive geriatric care (CGA) [22]. Several systematic reviews were conducted to determine the most effective interventions to reduce frailty in elderly people. Findings from previous systematic reviews showed a variety of interventions, including physical activity, cognitive training, nutrition therapy, CGA, group meetings, home visits, or a blend of these interventions [23,24,25,26]. Previous studies reported that physical activity is effective in improving frailty in older adults [24, 26]. However, these studies were delivered in the community, in primary care, and home care settings, rather than in hospital. No systematic review was found which focused on evidence with regard to interventions for hospitalized frail older adults, and so the present systematic review and meta-analysis was conducted. The aim was to determine the effectiveness of interventions focused on management of frailty in hospitalized older adults.

Methods

Study type

The present systematic review and meta-analysis was conducted based on the PRISMA guideline (Preferred Reporting Items for Systematic Reviews and Meta-Analyses( [27].

Data sources and search strategy

Two independent researchers searched in the following electronic databases: Medline (via PubMed), Embase, Cochrane, ProQuest, CINAHL, SCOPUS and Web of Science for papers published between 1 January 2000 and 10 July 2019 with no language limitation. In addition, researchers carried out hand searches in the reference lists of obtained articles, including previous systematic reviews, to find further relevant studies. References to unpublished data were followed up to the main researcher who contacted the corresponding author or first author by email.

Frequently used phrases were identified using Medical Subject Headings (MeSH). The selected keywords were frail elders, functionally-impaired elderly, frailty syndrome, elderly, aged, 80 and over, prevention, intervention, effectiveness and outcome. These keywords were combined with appropriate Boolean operators, with each other or with other synonyms, and were searched in original peer-reviewed literature. Syntaxes were developed and completed in PubMed with a number needed to read (NNR) of 15 and were searched in other databases (Additional file 1).

Study selection

Two researchers independently screened all potentially relevant studies by reading the titles and then the abstracts; disagreements were solved by discussion and using of the viewpoint of a third researcher.

Inclusion and exclusion criteria

Relevance and appropriateness of the studies were assessed based on the inclusion and exclusion criteria. The inclusion criteria for this study were: clinical trial studies; regarding hospitalized patients “operationally defined as any patient admitted to hospital who remains overnight, or were initially expected to remain overnight”; age of samples ≥65 years; studies related to management, prevention, care, or cure of frailty; use of a validated operational definition of frailty “considering to phenotype of frailty and accumulation of deficits approaches”; and use of multidimensional specific frailty validated scale, measurement or index. The exclusion criteria were: pharmaceutical or pharmaceutical supplement interventions; frailty was not the outcome of the study; and intervention, program, model or protocol did not take place in a hospital setting.

Data extraction

Two independent reviewers conducted data extraction. They extracted data with predetermined forms that were designed by the research team. The cases where there was no agreement were assessed by a third researcher. The data were extracted from all eligible studies, including: author names, publication year, geographical location, type of hospital, type of clinical setting, study design, recruitment duration, number of patients, mean and range age of samples, gender, inclusion and exclusion criteria, experimental conditions, control conditions, duration of intervention, operational definition of frailty, measured outcome, time-point of assessment, finding of primary and secondary outcomes, and evaluation of randomized programs or protocols.

Assessment of risk of bias

The assessment of risk of bias was performed by two researchers independently using the Cochrane Risk of Bias Tool for clinical trial studies [28]. Disagreements were discussed with a third researcher and settled with a consensus decision. Researchers rated the quality of the included studies as “good”, “fair”, or “poor”. The selection studies were evaluated based on the criteria for clinical trials, accounting for study design and assessing potential for bias including “random sequence generation”, “allocation concealment”, “selective reporting”, “other sources of bias”, “blinding of participants and personnel”, “blinding of outcome assessment” and “incomplete outcome data” bias. Those articles with the highest risk for bias were defined as poor quality, and the studies with moderate and low risk of bias were considered as fair quality and good quality, respectively.

Statistical analysis

A random-effect model was used to calculate changes in frailty from pre-to-post interventions. A forest plot was used for illustrating effect sizes and corresponding indexes. Egger’s test and funnel plots were used to assess publication bias. All meta-analytical methods were performed using STATA (Release 12. statistical software. College Station, Texas: STATA Corp LP).

Outcome measures

The primary outcome of this systematic review was frailty. The secondary outcomes comprised physical, psychological, and social domains; length of stay in hospital; re-hospitalization; mortality; patient satisfaction; and the need for post discharge placement.

Results

Study selection

Figure 1 showed the search and selection of studies based on the PRISMA flowcharts. In databases search, 13,230 records were obtained. From 7976 non-duplicate records, the title and abstract of each study was screened of which 7733 were excluded and 243 with full text remained. From the 243 potentially eligible records, 18 studies met the inclusion criteria.

Fig. 1
figure 1

Flow diagram of search process

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Characteristics of included articles

Seven studies were included in the systematic review [11, 21, 22, 29,30,31]; four of these studies [22, 29, 31] reported outcomes of the same clinical trial project. One of four studies [22] reported about frailty and the three other studies [22, 29, 31] published secondary outcomes relevant for the present systematic review.

Table 1 showed that all of the included studies were randomized controlled trials. The sample size of the studies varied from 35 to 408 subjects. In total, these studies described 1009 hospitalized elderly patients; 527 patients belonged to the intervention group and 482 patients belonged to the control group; 50.3% of the participants were male. The mean age of the participants was between 72.8 (±5.6) to 85.7 (±5.4) years (Table 1).

Table 1 Description of included studies
Full size table

The seven studies were carried out in hospitalized frail elderly in Sweden (n = 4) [22, 29, 31], Germany (n = 1) [21] and Taiwan (n = 2) [11, 30]. The studies were focused on hospitalized frail elderly in an acute medical ward (n = 4) [22, 29, 31], gastrointestinal surgery ward (n = 2) [11, 30], and acute medical geriatric ward (n = 1) [21]. Also, three studies had a follow-up of 3 months [22, 29], two studies had a follow-up at discharge [11, 30] and one study had a follow-up of 14 days to 3 weeks after baseline assessment [21] (Tables 1 and 2).

Table 2 Operational definition of frailty, measured outcomes and time point of assessment
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Risk of bias assessment

None of the included studies fulfilled all of the quality criteria. All studies were poor in “Blinding of participants and personnel”. Moreover, the studies by Braun et al. (2019) Chen et al. (2018) and Chen et al. (2014) scored poorly on the criteria “other sources of bias” and “incomplete outcome data”. Only the quality of the study by Braun et al. (2019) was categorized as fair [21] and all other studies demonstrated poor quality [11, 22, 29,30,31] (Additional file 2).

Dimensions of interventions in included studies

In seven clinical trial studies, three randomized intervention programs or protocols were conducted for the management of hospitalized frail elderly. Four studies implemented a CGA program for caring for hospitalized frail older adults. The intervention group received structured, systematic interdisciplinary CGA-based care at an acute elderly care unit [22, 29, 31]. Braun et al. (2019) implemented augmented a prescribed exercise program (APEP) in the intervention group. The core of APEP was additional individual physiotherapy without pre-defined protocol or set of exercises [21]. Chen et al. (2014) and Chen et al. (2018) conducted modified Hospital Elder Life Program (mHELP). The mHELP program had early mobilization, oral and nutritional assistance, and orientation communication [11, 30] (Additional file 3).

Study outcomes

Frailty

From 7 included studies [11, 21, 22, 29,30,31], 4 studies reported findings from the same clinical trial [22, 29, 31]. Of these four studies, only the study by Ekerstad et al. (2017) [22] used frailty as an outcome. Furthermore, from the 7 included studies in the present systematic review, three studies that had not evaluated frailty were excluded, and four studies that reported frailty findings were imported into the meta-analysis [11, 21, 22, 30]. Ekerstad et al. (2017) assessed the degree of frailty with the FRESH screening tool [22]. Braun et al. [21] and Chen et al. [11, 30] measured frailty with the Frailty Index and the Fried criteria, respectively. The incidence of frailty and persistent frailty were evaluated by Chen et al. [11]. Also, transitions between frailty states and the rate of frailty were measured by Chen et al. [30].

Meta-analysis of the studies showed statistically significant differences between the intervention and control groups for management of frailty in hospitalized older adults (ES = 0.35; 95% CI: 0. 067–0.632; z = 2.43; P < 0.015). The I-squared was 78.6%, indicating a high degree of heterogeneity. According to the low number of studies, subgroup analysis wasn’t possible due to heterogeneity of the studies (Table 3 and Fig. 2).

Table 3 Meta-analysis results for all studies
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Fig. 2
figure 2

Forest plot for meta-analysis of all studies

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Physical domain

Two studies showed that CGA was effective in terms of Handgrip Strength (HS) (p < 0.001), 6-Minute Walk Test (6-MWT) (p < 0.001), Timed Up-and-Go test (TUG) (p = 0.042) decline in Activity Daily Living (ADL) Staircase [OR = 0.093; 95% CI (0.052–0.16)] and decline in ADL stratum (p = 0.0001) [22, 29]. One study reported that the mHLEP intervention group lost less weight (p = 0.002) compared with the control group [11]. However, Braun et al. showed that APEP improved the mean score on De Morton Mobility Index (DEMMI), TUG and 6-MWT, but these effects were not statistically significant, p = 0.26, p = 0.21, and p = 0.11, respectively [21] (Table 4).

Table 4 Primary and secondary outcomes of studies
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Psychological and social domains

None of studies evaluated the social domain of patients and only one of them reported the psychological domain by health-related quality of life scale (HRQoL) [22]. Ekerstad et al. (2017) found that the control group experienced a significantly higher decline in HRQoL compared to the intervention group with regard to vision, ambulation, dexterity, emotions, cognition and pain dimensions (p < 0.01). In addition, this study reported a higher EuroQol-visual analog scale (EQ-VAS) score in intervention group than in the control group (p = 0.003) [22] (Table 4).

Hospitalization status

Length of stay

Three studies evaluated length of stay in the hospital. Two studies showed no significant differences between the intervention and control groups [21, 30]. The single study that used CGA demonstrated that length of stay was significantly higher in the intervention group compared with the control group [29] (Table 4).

Re-hospitalization

One study reported the re-hospitalization rate. This study showed a lower prevalence of re-hospitalization rate in the CGA unit than in the conventional care unit 1 month after discharge (p = 0.048), but after 3 months of discharge there was not a significant difference in re-hospitalization between the two units [22] (Table 4).

Mortality

Only the study by Ekerstad et al. (2017) was focused on the effect of the interventions on the mortality rate of the participants. The mortality rate was lower in the CGA unit intervention group than in the conventional care unit group [HR = 0.55; 95% CI (0.32–0.96)] [22] (Table 4).

Satisfaction with program

The study by Ekerstad et al. (2018) showed that the group receiving the intervention (CGA) was more satisfied with the program than the control group. The intervention group scored significantly higher on satisfaction with received information (p = 0.016) and satisfaction with planning before discharge (p = 0.023) [31] (Table 4).

Post discharge placement

One study reported that the control group used more supplementary services compared with the intervention group patients [OR = 0.682; 95% CI (0.395–1.178)] [22] (Table 4).

Publication bias assessment

Egger regression analysis were applied to analyze publication bias. The results showed that the risk of bias was low (p = 0.063) (Table 5 and Fig. 3).

Table 5 Egger Results for Publication Bias
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Fig. 3
figure 3

Funnel plot for all studies publication bias

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Conclusions

This systematic review and meta-analysis was conducted to evaluate the effectiveness of interventions for the care and management of frailty in hospitalized older adults. Moreover, the present study aimed to determine the effectiveness of interventions on physical, psychological, social domains, and hospitalization status. Four of these studies were conducted in Sweden and reported outcomes of the same clinical trial [22, 29, 31]. The other studies were carried out in Germany [21] and Taiwan [11, 30].

Our study showed that interventions are effective in the management of frailty in hospitalized older adults. Other systematic review studies published paradoxical findings for example, Arantes et al. (2009) concluded that the effectiveness of physical therapy on frailty among community-dwelling elderly was low [32]. However, Negm et al. (2019) and Apóstolo et al. (2019) showed that interventions based on physical activity and a combination of physical activity and nutritional supplementation was possibly the most effective measure in decreasing frailty [23, 26]. It appears that different contexts and diversity of interventions are probably the reason of paradoxical findings. Also, it seems that multidimensional interventions covering physical, psychological and social functioning of hospitalized frail older patients are more effective than one dimension interventions [33]. This is supported by a study using the APEP intervention [21], which was targeted on individual physiotherapy and didn’t consider the social and psychological aspects of frail older adults; APEP was less effective on the degree of frailty. However, further clinical trials studies with long-term follow up are needed to confirm this hypothesis.

Our study showed that CGA was effective on frailty in the physical domain. Moreover, the mHELP intervention was effective on prevention of weight loss in the intervention group [11, 22, 29]. Also, Braun et al. (2019) demonstrated no statistically significance between the intervention group and control group [21], probably caused by the low number of participants. Our findings are consistent with the systematic review conducted by Kidd et al. (2019) reporting that physical performance in frail older adults was improved with interventions to increase physical activity [24]. Moreover, other randomized clinical trial studies (RCTs) demonstrated that exercise therapy was positively associated with improved function in frail older people [34, 35].

None of the studies examined the effects of interventions on psychological and social domains, and only one study evaluated the effects on the psychological domain, assessed with the HRQoL measure [22]. Frailty is a state that affects biological, psychological, and social domains, and which leads to increased vulnerability and adverse outcomes in psychological and social domains similar to those in the physical domain. Moreover, evidence shows that frailty is not only based on physical issues but is also related to psychological and social variables [36]. Thus, hospitalized frail elderly need a wide range of services that cover psychological and social components as well as interventions in the physical domain. Pérez et al., (2019) proposed a multidimensional intervention based on a group physical activity which improved social communication and psychological wellbeing among frail older adults in a primary care setting [33]. Finally, due to the multidimensional nature of frailty, a multidimensional care model for hospitalized frail older adults that covers physical, psychological and social components is needed [37].

The CGA intervention group led to a longer stay than the control group, but mHELP and APEP interventions did not show any statistical difference [21, 29, 30]. Most previous studies have reported associations between frailty and longer length of stay in hospital [38,39,40,41]. However, the cohort study by Engelhardt et al. (2018) demonstrated that frailty screening, followed by implementation of a frailty pathway, decreased the length of stay in hospital [42]. It seems that the reason for inconsistency in the studies is a difference in the aims of the interventions. The aim of frailty pathway intervention is to decrease of length of stay [42] whereas the aim of CGA intervention was improve physical functioning and to prevent frailty [29]. Thus, studies with different aims report diverse findings. The development of suitable interventions requires a comprehensive view of frailty and its consequences.

A decrease in re-hospitalization was demonstrated in the CGA unit intervention group [22]. Previous studies showed positive association between frailty and re-hospitalization [16, 20, 43]. It seems a thorough assessment of health problems was conducted during the hospitalization period which decreased re-hospitalization. This may cost-effective for health-service in long-term, however further studies on re-hospitalization and frailty are needed.

Only Ekerstad et al. (2017) evaluated the mortality rate and post discharge placement, showing that CGA was effective in reducing risk in these areas [22]. However, previous studies reported a high mortality rate and the increased use of additional services in frail elders [20, 44]. The mHELP and APEP studies did not address these outcomes. It appears that a classification of hospitalization outcomes is needed in clinical trial registration so that these can be evaluated in clinical trials.

Only Ekerstad et al. (2018) evaluated patient satisfaction with interventions [31]. Previous studies showed that patients with experience of improvement are satisfied with their care, while patients who experience poor health related quality of life are often dissatisfied [45, 46]. Satisfaction with an intervention is dependent on the effectiveness of the care process, and it can be an indicator of the suitability of an intervention [47]. Clinical trials would benefit from a satisfaction scale for the assessment of patients experiences of interventions.

Our study demonstrated that frailty was assessed by a variety of instruments: The FRESH screening tool [22], Frailty index [21], and Fried’s criteria [11, 30]. The FRESH screening tool was developed and validated by Eklund and colleagues. It was developed as a short screening instrument in acute care units [48] and focused on physical frailty [49]. Also, the Fried criteria, so-called the phenotype of frailty, focus on the physical domain whereby the psychological and the social domains of frailty are ignored [49]. The phenotype of frailty contains the following five criteria: unintended weight loss, weakness, low activity, and slowness. Using objective, physical measurements; this phenotype that had higher accuracy compared to self-report scales in relation to objective measurement of frailty [50]. The Frailty index, developed and validated by Rockwood and colleagues [51], is a more multidimensional measure of frailty, but it is time consuming to carry out [52]. Considering the disadvantages of these scales for hospitalized frail older adults, we need standard scales which are: multidimensional; quick to complete; nurse-led; not needing complex training; and which cover the contributing factors of frailty in hospital such as decline in sleep quality, delirium, disorientation, adaptation with hospital environment etc.

Screening of potentially eligible studies showed two methodological problems. Firstly, the use of nonspecific tools (such as Activities of daily living (ADL) and Instrumental activities of daily living (IADL)) to measure of frailty in clinical trial studies. Frailty is a new, complex and multidimensional concept, and unfortunately there is no gold standard for measurement [23]. This has led to use of various non-specific tools such as physical or functional tools that do not cover all aspects of frailty [23]. The second problem is that frailty is not considered an important outcome. In most of potentially eligible studies, frailty is evaluated as a predictor of other outcomes, and was only evaluated for comparison of two groups at baseline. Our findings are consistent with findings of previous studies [6, 53]. These methodological problems prevent the development of a comprehensive intervention protocol for caring of hospitalized frail older adults.

Interventions and new clinical trials in hospital care need to be revised according to the definition of frailty, and a new understanding of the needs of inpatient older adults. Many studies on interventions for frailty relate to medical and physiotherapy sciences rather than nursing care of hospitalized older adults. A reason of this may be low number of specialist geriatric nurses, poor training of nurses in this area, and a lack of clarity of multidimensional needs of hospitalized frail elders. The studies in this review point to the importance of specialist interventions, and the need for geriatric specialists in a multidisciplinary team such as geriatric nursing, geriatric physician, dietician, physiotherapist, occupational therapist etc.

Some limitations of our study should be mentioned. Only seven studies complied with the inclusion criteria. In addition, six of these studies showed poor quality due to high risk of bias. Future studies must pay more attention to international protocols such as Cochrane Risk of Bias Tool for clinical trial studies and CONSORT. It should also be noted that there was heterogeneity with regard to the included studies. For example, the operationalization of frailty differed between studies. Besides these limitations, the present study has many strengths. The main strength was a thorough and systematic approach (writing search strategies, comprehensive search, screening of studies, risk-of-bias appraisal and data extraction) by two independent researchers.

Due to the low number of RCTs on frailty conducted in a hospital setting, and low quality of existing studies, there is a need for further RCTs to examine a protocol appropriate for frail older people. This protocol should be developed based on qualitative studies that was covered multidimensional needs of frail elder peoples, elder friendly setting, interdisciplinary team, geriatric specialty of caring team and frailty evaluation with multidimensional hospital-based scale.

Interventions for hospitalized frail older adults are effective in the management of frailty. Multidimensional interventions conducted by a multidisciplinary specialist team on a geriatric ward is likely to be effective in the care of hospitalized frail elderly, because frailty is a condition that affects older people physically, psychologically, and socially.

Availability of data and materials

We found seven studies on hospitalized frail older adults. The data can be found in Table 1. Also, these were published in peer-reviewed manuscripts, which are available on PubMED/MEDLINE.

Abbreviations

ADL:

Activities of daily living

ADLs:

Activity daily living staircase

APEP:

Augmented a prescribed exercise program

CGA:

Comprehensive geriatric assessment

DEMMI:

De Morton mobility index

ESDS:

Enforce social dependency scale

EQ-VAS:

EuroQol-visual analog scale

FAC:

Functional ambulation categories

FES- І:

Falls efficacy

GFK:

Early rehabilitation in geriatric medicine

HABAM:

Hierarchical assessment of balance

HRQoL:

Health-related quality of life scale

HS:

Handgrip strength

HUI-3:

Health utilities index-3

IADL:

Instrumental activities of daily living

MeSH:

Medical subject headings

mHELP:

Modified Hospital elder life program

Ni/Nc:

Number of intervention group/number of control group

NNR:

Needed to read

NU:

NÄL-uddevalla

OR:

Odds ratio

RCTs:

Randomized clinical trial study

TUG:

Timed up-and-go test

6-MWT:

6-Minute walk test

References

  1. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752–62.

    Article  PubMed  Google Scholar 

  2. Wyrko Z. Frailty at the front door. Clin Med (Lond). 2015;15(4):377–81.

    Article  Google Scholar 

  3. Chen X, Mao G, Leng SX. Frailty syndrome: an overview. Clin Interv Aging. 2014;9:433–41.

    PubMed  PubMed Central  Google Scholar 

  4. Lachmann R, Stelmach-Mardas M, Bergmann MM, Bernigau W, Weber D, Pischon T, et al. The accumulation of deficits approach to describe frailty. PLoS One. 2019;14(10):e0223449-e.

  5. Theou O, Walston J, Rockwood K. Operationalizing frailty using the frailty phenotype and deficit accumulation approaches. Interdiscip Top Gerontol Geriatr. 2015;41:66–73.

    Article  PubMed  Google Scholar 

  6. Kojima G, Liljas AEM, Iliffe S. Frailty syndrome: implications and challenges for health care policy. Risk Manag Healthc Policy. 2019;12:23–30.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ofori-Asenso R, Chin KL, Mazidi M, Zomer E, Ilomaki J, Zullo AR, et al. Global incidence of frailty and prefrailty among community-dwelling older adults: a systematic review and meta-analysis. JAMA Netw Open. 2019;2(8):e198398-e.

  8. PHd R, Beuter M, ERR B, Bruinsma JL, Venturini L, Backes C. Stressors factors experienced by hospitalized elderly from the perspective of the Neuman Systems Model. Escola Anna Nery. 2018;22:4.

    Google Scholar 

  9. Richards SJG, D'Souza J, Pascoe R, Falloon M, Frizelle FA. Prevalence of frailty in a tertiary hospital: a point prevalence observational study. PLoS One. 2019;14(7):e0219083-e.

  10. Andela RM, Dijkstra A, Slaets JP, Sanderman R. Prevalence of frailty on clinical wards: description and implications. Int J Nurs Pract. 2010;16(1):14–9.

    Article  PubMed  Google Scholar 

  11. Chia-Hui Chen C, Yang YT, Lai IR, Lin BR, Yang CY, Huang J, et al. Three nurse-administered protocols reduce nutritional decline and frailty in older gastrointestinal surgery patients: a cluster randomized trial. J Am Med Dir Assoc. 2019;20(5):524–9.e3.

    Article  PubMed  Google Scholar 

  12. Ozturk ZA, Ozdemir S, Turkbeyler IH, Demir Z. Quality of life and fall risk in frail hospitalized elderly patients. Turk J Med Sci. 2017;47(5):1377–83.

    Article  PubMed  Google Scholar 

  13. Verloo H, Goulet C, Morin D, von Gunten A. Association between frailty and delirium in older adult patients discharged from hospital. Clin Interv Aging. 2016;11:55–63.

    Article  PubMed  PubMed Central  Google Scholar 

  14. So RK, Bannard-Smith J, Subbe CP, Jones DA, van Rosmalen J, Lighthall GK. The association of clinical frailty with outcomes of patients reviewed by rapid response teams: an international prospective observational cohort study. Crit Care. 2018;22(1):227.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Annoni G, Mazzola P. Real-world characteristics of hospitalized frail elderly patients with atrial fibrillation: can we improve the current prescription of anticoagulants? J Geriatr Cardiol. 2016;13(3):226–32.

    PubMed  PubMed Central  Google Scholar 

  16. Nguyen AT, Nguyen TX, Nguyen TN, Nguyen THT, Pham T, Cumming R, et al. The impact of frailty on prolonged hospitalization and mortality in elderly inpatients in Vietnam: a comparison between the frailty phenotype and the reported Edmonton frail scale. Clin Interv Aging. 2019;14:381–8.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Sikder T, Sourial N, Maimon G, Tahiri M, Teasdale D, Bergman H, et al. Postoperative recovery in frail, pre-frail, and non-frail elderly patients following abdominal surgery. World J Surg. 2019;43(2):415–24.

    Article  PubMed  Google Scholar 

  18. Flaatten H, De Lange DW, Morandi A, Andersen FH, Artigas A, Bertolini G, et al. The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (>/= 80 years). Intensive Care Med. 2017;43(12):1820–8.

    Article  PubMed  Google Scholar 

  19. Liotta G, Gilardi F, Orlando S, Rocco G, Proietti MG, Asta F, et al. Cost of hospital care for the older adults according to their level of frailty. A cohort study in the Lazio region, Italy. PLoS One. 2019;14(6):e0217829.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Hao Q, Zhou L, Dong B, Yang M, Dong B, Weil Y. The role of frailty in predicting mortality and readmission in older adults in acute care wards: a prospective study. Sci Rep. 2019;9(1):1207.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Braun T, Grüneberg C, Süßmilch K, Wiessmeier M, Schwenk I, Eggert S, et al. An augmented prescribed exercise program (APEP) to improve mobility of older acute medical patients - a randomized, controlled pilot and feasibility trial. BMC Geriatr. 2019;19(1):240.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Ekerstad N, Dahlin Ivanoff S, Landahl S, Ostberg G, Johansson M, Andersson D, et al. Acute care of severely frail elderly patients in a CGA-unit is associated with less functional decline than conventional acute care. Clin Interv Aging. 2017;12:1239–49.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Apostolo J, Cooke R, Bobrowicz-Campos E, Santana S, Marcucci M, Cano A, et al. Effectiveness of interventions to prevent pre-frailty and frailty progression in older adults: a systematic review. JBI Database Syst Rev Implement Rep. 2018;16(1):140–232.

    Article  Google Scholar 

  24. Kidd T, Mold F, Jones C, Ream E, Grosvenor W, Sund-Levander M, et al. What are the most effective interventions to improve physical performance in pre-frail and frail adults? A systematic review of randomised control trials. BMC Geriatr. 2019;19(1):184.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Travers J, Romero-Ortuno R, Bailey J, Cooney MT. Delaying and reversing frailty: a systematic review of primary care interventions. Br J Gen Pract. 2019;69(678):e61–e9.

    Article  PubMed  Google Scholar 

  26. Negm AM, Kennedy CC, Thabane L, Veroniki AA, Adachi JD, Richardson J, et al. Management of Frailty: a systematic review and network meta-analysis of randomized controlled trials. J Am Med Dir Assoc. 2019;20(10):1190–8.

    Article  PubMed  Google Scholar 

  27. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.

    Article  PubMed  Google Scholar 

  28. Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. Br Med J. 2011;343:d5928.

    Article  Google Scholar 

  29. Ahlund K, Back M, Oberg B, Ekerstad N. Effects of comprehensive geriatric assessment on physical fitness in an acute medical setting for frail elderly patients. Clin Interv Aging. 2017;12:1929–39.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Chen CC, Chen CN, Lai IR, Huang GH, Saczynski JS, Inouye SK. Effects of a modified hospital elder life program on frailty in individuals undergoing major elective abdominal surgery. J Am Geriatr Soc. 2014;62(2):261–8.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Ekerstad N, Ostberg G, Johansson M, Karlson BW. Are frail elderly patients treated in a CGA unit more satisfied with their hospital care than those treated in conventional acute medical care? Patient Prefer Adherence. 2018;12:233–40.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Arantes PM, Alencar MA, Dias RC, Dias JMD, Pereira LS. Physical therapy treatment on frailty syndrome: systematic review. Braz J Phys Ther. 2009;13(5):365–75.

    Article  Google Scholar 

  33. Bazán LMP, Enfedaque-Montes M, Cesari M, Soto-Bagaria L, Gual N, Burbano M, et al. A community program of integrated care for frail older adults:+ AGIL Barcelona. J Nutr Health Aging. 2019;23(8):710–6.

    Article  Google Scholar 

  34. Molino-Lova R, Pasquini G, Vannetti F, Paperini A, Forconi T, Polcaro P, et al. Effects of a structured physical activity intervention on measures of physical performance in frail elderly patients after cardiac rehabilitation: a pilot study with 1-year follow-up. Intern Emerg Med. 2013;8(7):581–9.

    Article  PubMed  Google Scholar 

  35. Binder EF, Brown M, Sinacore DR, Steger-May K, Yarasheski KE, Schechtman KB. Effects of extended outpatient rehabilitation after hip fracture: a randomized controlled trial. J Am Med Assoc. 2004;292(7):837–46.

    Article  CAS  Google Scholar 

  36. Freitag S, Schmidt S. Psychosocial correlates of frailty in older adults. Geriatrics (Basel). 2016;1:4.

    Article  Google Scholar 

  37. Teo N, Yeo PS, Gao Q, Nyunt MSZ, Foo JJ, Wee SL, et al. A bio-psycho-social approach for frailty amongst Singaporean Chinese community-dwelling older adults–evidence from the Singapore longitudinal aging study. BMC Geriatr. 2019;19(1):350.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Hewitt J, Long S, Carter B, Bach S, McCarthy K, Clegg A. The prevalence of frailty and its association with clinical outcomes in general surgery: a systematic review and meta-analysis. Age Ageing. 2018;47(6):793–800.

    Article  PubMed  Google Scholar 

  39. Theou O, Squires E, Mallery K, Lee JS, Fay S, Goldstein J, et al. What do we know about frailty in the acute care setting? A scoping review. BMC Geriatr. 2018;18(1):139.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Philp I, Mills KA, Thanvi B, Ghosh K, Long JF. Reducing hospital bed use by frail older people: results from a systematic review of the literature. Int J Integr Care. 2013;13:e048-e.

  41. Nathaniel Z, Amin K. Redesigning care for frail older people: the impact of an elderly care pathway on admission avoidance, length of stay and readmission rates. Healthy Aging Res. 2016;5:1–11.

    Article  Google Scholar 

  42. Engelhardt KE, Reuter Q, Liu J, Bean JF, Barnum J, Shapiro MB, et al. Frailty screening and a frailty pathway decrease length of stay, loss of independence, and 30-day readmission rates in frail geriatric trauma and emergency general surgery patients. J Trauma Acute Care Surg. 2018;85(1):167–73.

    Article  PubMed  Google Scholar 

  43. Rose M, Pan H, Levinson M, Staples M. Can frailty predict complicated care needs and length of stay? Intern Med J. 2014;44(8):800–5.

    Article  CAS  PubMed  Google Scholar 

  44. Gilardi F, Scarcella P, Proietti MG, Capobianco G, Rocco G, Capanna A, et al. Frailty as a predictor of mortality and hospital services use in older adults: a cluster analysis in a cohort study. Eur J Pub Health. 2018;28(5):842–6.

    Article  Google Scholar 

  45. Dubina MI, O’Neill JL, Feldman SR. Effect of patient satisfaction on outcomes of care. Expert Rev Pharm Out. 2009;9(5):393–5.

    Google Scholar 

  46. Ofei-Dodoo S. Patient satisfaction and treatment outcomes of primary care practice in Ghana. Ghana Med J. 2019;53(1):63–70.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Navipour H, Nayeri ND, Hooshmand A, Zargar MT. An investigation into the effects of quality improvement method on patients’ satisfaction: a semi experimental research in Iran. Acta Med Iran. 2011;49(1):38–43.

    PubMed  Google Scholar 

  48. Kajsa E, Katarina W, Sten L, Synneve I-D. Screening for frailty among older emergency department visitors: validation of the new FRESH-screening instrument. BMC Emerg Med. 2016;16(1):27.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Faller JW, do Nascimento Pereira D, de Souza S, Nampo FK, de Souza Orlandi F, Matumoto S. Instruments for the detection of frailty syndrome in older adults: a systematic review. PLoS One. 2019;14:4.

    Article  CAS  Google Scholar 

  50. LPM OV, van Rossum E, GIJM K, de Vet HCW, Hajema K, AJHM B. Fried phenotype of frailty: cross-sectional comparison of three frailty stages on various health domains. BMC Geriatr. 2015;15:77.

    Article  CAS  Google Scholar 

  51. Cesari M, Gambassi G, Abellan van Kan G, Vellas B. The frailty phenotype and the frailty index: different instruments for different purposes. Age Ageing. 2013;43(1):10–2.

    Article  PubMed  Google Scholar 

  52. Arjunan A, Peel NM, Hubbard RE. Feasibility and validity of frailty measurement in geriatric rehabilitation. Australas J Ageing. 2018;37(2):144–6.

    Article  PubMed  Google Scholar 

  53. Brown RT, Covinsky KE. Frailty as an outcome in geriatrics research: not ready for prime time? Ann Intern Med. 2018;168(5):361–2.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors like to thank Dr. Mohammad-Sajjad Lotfi, Dr. Hamidreza Sadeghi-Gandomani, and Dr. Mahmoud Yousefifard for helping in screening, quality assessment, and data extraction of the studies. The authors wish to thank Mrs. Victoria Skerrett who helped in native translation.

Funding

This study was part of a PhD dissertation and funded by the Deputy of Research, Shahid Beheshti University of Medical Sciences (SBMU). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Authors and Affiliations

  1. Student Research Committee, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Zahra Rezaei-Shahsavarloo

  2. Department of Psychiatric Nursing and Management, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Foroozan Atashzadeh-Shoorideh

  3. Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, Amsterdam, The Netherlands

    Robbert J. J. Gobbens

  4. Zonnehuisgroep Amstelland, Amstelveen, The Netherlands

    Robbert J. J. Gobbens

  5. Department of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium

    Robbert J. J. Gobbens

  6. Behavioral Sciences Research Center, Life style institute, Baqiyatallah University of Medical Sciences, Tehran, Iran

    Abbas Ebadi

  7. Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran

    Abbas Ebadi

  8. Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

    Gholamreza Ghaedamini Harouni

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  1. Zahra Rezaei-Shahsavarloo
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  4. Abbas Ebadi
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  5. Gholamreza Ghaedamini Harouni
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Contributions

Conception & Design; ZRS, FAS, RG, AE. Data analysis: ZRS, FAS, RG, AE, GG. Interpretation of data; ZRS, FAS, RG, AE, GG. Draft and revising work ZRS, FAS, RG, AE. All authors approved the final version.

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Correspondence to Foroozan Atashzadeh-Shoorideh.

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Rezaei-Shahsavarloo, Z., Atashzadeh-Shoorideh, F., Gobbens, R.J.J. et al. The impact of interventions on management of frailty in hospitalized frail older adults: a systematic review and meta-analysis. BMC Geriatr 20, 526 (2020). https://doi.org/10.1186/s12877-020-01935-8

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Keywords

BMC Geriatrics

ISSN: 1471-2318

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