The after discharge care management of low income frail elderly (AD-LIFE) randomized trial: theoretical framework and study design

Models for delivery and co-ordination of primary or secondary health care (or both) to older adults living in aged care facilities

BACKGROUND

The number of older people is increasing worldwide and public expenditure on residential aged care facilities (ACFs) is expected to at least double, and possibly triple, by 2050. Co-ordinated and timely care in residential ACFs that reduces unnecessary hospital transfers may improve residents' health outcomes and increase satisfaction with care among ACF residents, their families and staff. These benefits may outweigh the resources needed to sustain the changes in care delivery and potentially lead to cost savings. Our systematic review comprehensively and systematically presents the available evidence of the effectiveness, safety and cost-effectiveness of alternative models of providing health care to ACF residents.

OBJECTIVES

Main objective To assess the effectiveness and safety of alternative models of delivering primary or secondary health care (or both) to older adults living in ACFs. Secondary objective To assess the cost-effectiveness of the alternative models.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, five other databases and two trials registers (WHO ICTRP, ClinicalTrials.gov) on 26 October 2022, together with reference checking, citation searching and contact with study authors to identify additional studies.

SELECTION CRITERIA

We included individual and cluster-randomised trials, and cost/cost-effectiveness data collected alongside eligible effectiveness studies. Eligible study participants included older people who reside in an ACF as their place of permanent abode and healthcare professionals delivering or co-ordinating the delivery of healthcare at ACFs. Eligible interventions focused on either ways of delivering primary or secondary health care (or both) or ways of co-ordinating the delivery of this care. Eligible comparators included usual care or another model of care. Primary outcomes were emergency department visits, unplanned hospital admissions and adverse effects (defined as infections, falls and pressure ulcers). Secondary outcomes included adherence to clinical guideline-recommended care, health-related quality of life of residents, mortality, resource use, access to primary or specialist healthcare services, any hospital admissions, length of hospital stay, satisfaction with the health care by residents and their families, work-related satisfaction and work-related stress of ACF staff.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies for inclusion, extracted data, and assessed risk of bias and certainty of evidence using GRADE. The primary comparison was any alternative model of care versus usual care.

MAIN RESULTS

We included 40 randomised trials (21,787 participants; three studies only reported number of beds) in this review. Included trials evaluated alternative models of care aimed at either all residents of the ACF (i.e. no specific health condition; 11 studies), ACF residents with mental health conditions or behavioural problems (12 studies), ACF residents with a specific condition (e.g. residents with pressure ulcers, 13 studies) or residents requiring a specific type of care (e.g. residents after hospital discharge, four studies). Most alternative models of care focused on 'co-ordination of care' (n = 31). Three alternative models of care focused on 'who provides care' and two focused on 'where care is provided' (i.e. care provided within ACF versus outside of ACF). Four models focused on the use of information and communication technology. Usual care, the comparator in all studies, was highly heterogeneous across studies and, in most cases, was poorly reported. Most of the included trials were susceptible to some form of bias; in particular, performance (89%), reporting (66%) and detection (42%) bias. Compared to usual care, alternative models of care may make little or no difference to the proportion of residents with at least one emergency department visit (risk ratio (RR) 1.01, 95% confidence interval (CI) 0.84 to 1.20; 7 trials, 1276 participants; low-certainty evidence), but may reduce the proportion of residents with at least one unplanned hospital admission (RR 0.74, 95% CI 0.56 to 0.99, I2 = 53%; 8 trials, 1263 participants; low-certainty evidence). We are uncertain of the effect of alternative models of care on adverse events (proportion of residents with a fall: RR 1.15, 95% CI 0.83 to 1.60, I² = 74%; 3 trials, 1061 participants; very low-certainty evidence) and adherence to guideline-recommended care (proportion of residents receiving adequate antidepressant medication: RR 5.29, 95% CI 1.08 to 26.00; 1 study, 65 participants) as the certainty of the evidence is very low. Compared to usual care, alternative models of care may have little or no effect on the health-related quality of life of ACF residents (MD -0.016, 95% CI -0.036 to 0.004; I² = 23%; 12 studies, 4016 participants; low-certainty evidence) and probably make little or no difference to the number of deaths in residents of ACFs (RR 1.03, 95% CI 0.92 to 1.16, 24 trials, 3881 participants, moderate-certainty evidence). We did not pool the cost-effectiveness or cost data as the specific costs associated with the various alternative models of care were incomparable, both across models of care as well as across settings. Based on the findings of five economic evaluations (all interventions focused on co-ordination of care), we are uncertain of the cost-effectiveness of alternative models of care compared to usual care as the certainty of the evidence is very low.

AUTHORS' CONCLUSIONS

Compared to usual care, alternative models of care may make little or no difference to the number of emergency department visits but may reduce unplanned hospital admissions. We are uncertain of the effect of alternative care models on adverse events (i.e. falls, pressure ulcers, infections) and adherence to guidelines compared to usual care, as the certainty of the evidence is very low. Alternative models of care may have little or no effect on health-related quality of life and probably have no effect on mortality of ACF residents compared to usual care. Importantly, we are uncertain of the cost-effectiveness of alternative models of care due to the limited, disparate data available.

Case management for integrated care of older people with frailty in community settings

BACKGROUND

Ageing populations globally have contributed to increasing numbers of people living with frailty, which has significant implications for use of health and care services and costs. The British Geriatrics Society defines frailty as "a distinctive health state related to the ageing process in which multiple body systems gradually lose their inbuilt reserves". This leads to an increased susceptibility to adverse outcomes, such as reduced physical function, poorer quality of life, hospital admissions, and mortality. Case management interventions delivered in community settings are led by a health or social care professional, supported by a multidisciplinary team, and focus on the planning, provision, and co-ordination of care to meet the needs of the individual. Case management is one model of integrated care that has gained traction with policymakers to improve outcomes for populations at high risk of decline in health and well-being. These populations include older people living with frailty, who commonly have complex healthcare and social care needs but can experience poorly co-ordinated care due to fragmented care systems.

OBJECTIVES

To assess the effects of case management for integrated care of older people living with frailty compared with usual care.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, CINAHL, Health Systems Evidence, and PDQ Evidence and databases from inception to 23 September 2022. We also searched clinical registries and relevant grey literature databases, checked references of included trials and relevant systematic reviews, conducted citation searching of included trials, and contacted topic experts.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) that compared case management with standard care in community-dwelling people aged 65 years and older living with frailty.

DATA COLLECTION AND ANALYSIS

We followed standard methodological procedures recommended by Cochrane and the Effective Practice and Organisation of Care Group. We used the GRADE approach to assess the certainty of the evidence.

MAIN RESULTS

We included 20 trials (11,860 participants), all of which took place in high-income countries. Case management interventions in the included trials varied in terms of organisation, delivery, setting, and care providers involved. Most trials included a variety of healthcare and social care professionals, including nurse practitioners, allied healthcare professionals, social workers, geriatricians, physicians, psychologists, and clinical pharmacists. In nine trials, the case management intervention was delivered by nurses only. Follow-up ranged from three to 36 months. We judged most trials at unclear risk of selection and performance bias; this consideration, together with indirectness, justified downgrading the certainty of the evidence to low or moderate. Case management compared to standard care may result in little or no difference in the following outcomes. • Mortality at 12 months' follow-up (7.0% in the intervention group versus 7.5% in the control group; risk ratio (RR) 0.98, 95% confidence interval (CI) 0.84 to 1.15; I2 = 11%; 14 trials, 9924 participants; low-certainty evidence) • Change in place of residence to a nursing home at 12 months' follow-up (9.9% in the intervention group versus 13.4% in the control group; RR 0.73, 95% CI 0.53 to 1.01; I2 = 0%; 4 trials, 1108 participants; low-certainty evidence) • Quality of life at three to 24 months' follow-up (results not pooled; mean differences (MDs) ranged from -6.32 points (95% CI -11.04 to -1.59) to 6.1 points (95% CI -3.92 to 16.12) when reported; 11 trials, 9284 participants; low-certainty evidence) • Serious adverse effects at 12 to 24 months' follow-up (results not pooled; 2 trials, 592 participants; low-certainty evidence) • Change in physical function at three to 24 months' follow-up (results not pooled; MDs ranged from -0.12 points (95% CI -0.93 to 0.68) to 3.4 points (95% CI -2.35 to 9.15) when reported; 16 trials, 10,652 participants; low-certainty evidence) Case management compared to standard care probably results in little or no difference in the following outcomes. • Healthcare utilisation in terms of hospital admission at 12 months' follow-up (32.7% in the intervention group versus 36.0% in the control group; RR 0.91, 95% CI 0.79 to 1.05; I2 = 43%; 6 trials, 2424 participants; moderate-certainty evidence) • Change in costs at six to 36 months' follow-up (results not pooled; 14 trials, 8486 participants; moderate-certainty evidence), which usually included healthcare service costs, intervention costs, and other costs such as informal care.

AUTHORS' CONCLUSIONS

We found uncertain evidence regarding whether case management for integrated care of older people with frailty in community settings, compared to standard care, improved patient and service outcomes or reduced costs. There is a need for further research to develop a clear taxonomy of intervention components, to determine the active ingredients that work in case management interventions, and identify how such interventions benefit some people and not others.

An Innovation Center Model to Transform Health Systems to Improve Care of Older Adults

The US population is aging faster than at any other time in our history. This growth, coupled with a slow adaptive health policy framework, is creating an urgent need to reengineer and improve the quality, safety, and cost-effectiveness of health systems to meet the needs of older adults and embrace the success we have achieved with longevity. Without rapid adoption of evidence-based models that are known to improve safety and health outcomes, we significantly jeopardize the lives of thousands of older adults receiving care under our current health systems' processes and models. This article describes an innovation and operations infrastructure that was successfully tested in two independent and geographically distinct community health systems. This operations and implementation framework can be scaled and used to accelerate the changes needed to improve care for older adults in health systems throughout the United States. J Am Geriatr Soc 68:15-22, 2019.

Interventions to improve the appropriate use of polypharmacy for older people

BACKGROUND

Inappropriate polypharmacy is a particular concern in older people and is associated with negative health outcomes. Choosing the best interventions to improve appropriate polypharmacy is a priority, hence interest in appropriate polypharmacy, where many medicines may be used to achieve better clinical outcomes for patients, is growing. This is the second update of this Cochrane Review.

OBJECTIVES

To determine which interventions, alone or in combination, are effective in improving the appropriate use of polypharmacy and reducing medication-related problems in older people.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, CINAHL and two trials registers up until 7 February 2018, together with handsearching of reference lists to identify additional studies.

SELECTION CRITERIA

We included randomised trials, non-randomised trials, controlled before-after studies, and interrupted time series. Eligible studies described interventions affecting prescribing aimed at improving appropriate polypharmacy in people aged 65 years and older, prescribed polypharmacy (four or more medicines), which used a validated tool to assess prescribing appropriateness. These tools can be classified as either implicit tools (judgement-based/based on expert professional judgement) or explicit tools (criterion-based, comprising lists of drugs to be avoided in older people).

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed abstracts of eligible studies, extracted data and assessed risk of bias of included studies. We pooled study-specific estimates, and used a random-effects model to yield summary estimates of effect and 95% confidence intervals (CIs). We assessed the overall certainty of evidence for each outcome using the GRADE approach.

MAIN RESULTS

We identified 32 studies, 20 from this update. Included studies consisted of 18 randomised trials, 10 cluster randomised trials (one of which was a stepped-wedge design), two non-randomised trials and two controlled before-after studies. One intervention consisted of computerised decision support (CDS); and 31 were complex, multi-faceted pharmaceutical-care based approaches (i.e. the responsible provision of medicines to improve patient's outcomes), one of which incorporated a CDS component as part of their multi-faceted intervention. Interventions were provided in a variety of settings. Interventions were delivered by healthcare professionals such as general physicians, pharmacists and geriatricians, and all were conducted in high-income countries. Assessments using the Cochrane 'Risk of bias' tool, found that there was a high and/or unclear risk of bias across a number of domains. Based on the GRADE approach, the overall certainty of evidence for each pooled outcome ranged from low to very low.It is uncertain whether pharmaceutical care improves medication appropriateness (as measured by an implicit tool), mean difference (MD) -4.76, 95% CI -9.20 to -0.33; 5 studies, N = 517; very low-certainty evidence). It is uncertain whether pharmaceutical care reduces the number of potentially inappropriate medications (PIMs), (standardised mean difference (SMD) -0.22, 95% CI -0.38 to -0.05; 7 studies; N = 1832; very low-certainty evidence). It is uncertain whether pharmaceutical care reduces the proportion of patients with one or more PIMs, (risk ratio (RR) 0.79, 95% CI 0.61 to 1.02; 11 studies; N = 3079; very low-certainty evidence). Pharmaceutical care may slightly reduce the number of potential prescribing omissions (PPOs) (SMD -0.81, 95% CI -0.98 to -0.64; 2 studies; N = 569; low-certainty evidence), however it must be noted that this effect estimate is based on only two studies, which had serious limitations in terms of risk bias. Likewise, it is uncertain whether pharmaceutical care reduces the proportion of patients with one or more PPOs (RR 0.40, 95% CI 0.18 to 0.85; 5 studies; N = 1310; very low-certainty evidence). Pharmaceutical care may make little or no difference in hospital admissions (data not pooled; 12 studies; N = 4052; low-certainty evidence). Pharmaceutical care may make little or no difference in quality of life (data not pooled; 12 studies; N = 3211; low-certainty evidence). Medication-related problems were reported in eight studies (N = 10,087) using different terms (e.g. adverse drug reactions, drug-drug interactions). No consistent intervention effect on medication-related problems was noted across studies.

AUTHORS' CONCLUSIONS

It is unclear whether interventions to improve appropriate polypharmacy, such as reviews of patients' prescriptions, resulted in clinically significant improvement; however, they may be slightly beneficial in terms of reducing potential prescribing omissions (PPOs); but this effect estimate is based on only two studies, which had serious limitations in terms of risk bias.

Geocoding to Manage Missing Data in a Secondary Analysis of Community-Dwelling, Low-Income Older Adults

Managing missing data in a secondary analysis is daunting, particularly if the data of interest were not included in the parent study design. The current study describes the use of geocoding to replace missing data from a parent study for a secondary analysis of socioeconomic and neighborhood characteristics in community-dwelling older adults who are dually eligible for Medicare and Medicaid. Geocoding was used to link participants' addresses to data from the American Community Survey to replace missing income and neighborhood data. After geocoding, data completeness was 100% for neighborhood poverty and education composition, and 99.9% for income. Using geocoding provides the gerontological nurse researcher with a sample that is more reflective of the population. The current findings can be used to tailor neighborhood-centered interventions to promote health in low-income older adults. [Res Gerontol Nurs. 2017; 10(4):155-161.].

Improving transitions in acute stroke patients discharged to home: the Michigan stroke transitions trial (MISTT) protocol

Background

For some stroke patients and caregivers, navigating the transition between hospital discharge and returning home is associated with substantial psychosocial and health-related challenges. Currently, no evidence-based standard of care exists that addresses the concerns of stroke patients and caregivers during the transition period. Objectives of the Michigan Stroke Transitions Trial (MISTT) are to test the impact of a social worker home-based case management program, as well as an online information and support resource, on patient and caregiver outcomes after returning home.

Methods

The Michigan Stroke Transitions Trial is a randomized, pragmatic, open (un-blinded), 3-group parallel designed superiority trial conducted in 3 Michigan hospitals. Eligible participants are adult acute stroke patients discharged home directly or within 4 weeks of being discharged to a rehabilitation facility. The patient’s primary caregiver is also invited to participate. Patients are randomized on the day they return home using a randomized block design. Consented patients discharged to a rehabilitation facility who do not go home within 4 weeks are dropped from the study.

The 2 study interventions begin within a week of returning home and conclude 3 months later. The 3-group design compares usual care to either a home-based social worker stroke case management (SWSCM) program, or a combination of the SWSCM program plus access to an online information and support resource (MISTT website). Outcomes data are collected at 7-days and 90-days by trained telephone interviewers. Primary patient outcomes include the PROMIS global 10 score (a generic Quality of Life scale), and the Patient Activation Measure (PAM). Caregiver outcomes include the Bakas Caregiving Outcomes Scale. Final analysis will be based on 214 randomized acute stroke patients. To accommodate subjects excluded due to prolonged rehabilitation stays, as well as those lost-to-follow-up, up to 315 patients will be consented.

Discussion

The MISTT study will determine if a home-based case management program designed around the needs and preferences of stroke patients and caregivers, alone or in combination with a patient-centered online information and support resource can improve stroke survivor and caregiver outcomes 3 months after returning home.

Trial registration

ClinicalTrials.gov: NCT02653170 (Protocol ID: 135457). Registered April 9, 2015.

Measured outcomes of chronic care programs for older adults: a systematic review

Background

Wagner’s Chronic Care Model (CCM), as well as the expanded version (ECCM) developed by Barr and colleagues, have been widely adopted as frameworks for prevention and management of chronic disease. Given the high prevalence of chronic illness in older persons, these frameworks can play a valuable role in reorienting the health care system to better serve the needs of seniors. We aimed to identify and assess the measured goals of E/CCM interventions in older populations. In particular, our objective was to determine the extent to which published E/CCM initiatives were evaluated based on population, community, system and individual-level outcomes (including clinical, functional and quality of life measures).

Methods

We conducted a systematic search of the Science Citation Index Web of Knowledge search tool to gather articles published between January 2003 and July 2014. We included published CCM interventions that cited at least one of the fundamental papers that introduced and described the CCM and ECCM. Studies retained for review reported evaluations of senior-focused E/CCM initiatives in community-based settings, with the topic of “older adults” OR senior* OR elder* OR geriatric OR aged. The resulting 619 published articles were independently reviewed for inclusion by two researchers. We excluded the following: systematic reviews, meta-analyses, descriptions of proposed programs, and studies whose populations did not focus on seniors.

Results

We identified 14 articles that met inclusion criteria. Studies used a wide range of measures, with little consensus between studies. All of the included studies used the original CCM. While a range of system-level and individual patient outcomes have been used to evaluate CCM interventions, no studies employed measures of population or community health outcomes.

Conclusions

Future efforts to test E/CCM interventions with seniors would be aided by more consistent outcome measures, greater attention to outcomes for the caregivers of older persons with chronic illness, and a greater focus on population and community impacts.

Factors that influence physical function and emotional well-being among Medicare-Medicaid enrollees

Dually enrolled Medicare-Medicaid older adults are a vulnerable population. We tested House's Conceptual Framework for Understanding Social Inequalities in Health and Aging in Medicare-Medicaid enrollees by examining the extent to which disparities indicators, which included race, age, gender, neighborhood poverty, education, income, exercise (e.g., walking), and physical activity (e.g., housework) influence physical function and emotional well-being. This secondary analysis included 337 Black (31%) and White (69%) older Medicare-Medicaid enrollees. Using path analysis, we determined that race, neighborhood poverty, education, and income did not influence physical function or emotional well-being. However, physical activity (e.g., housework) was associated with an increased self-report of physical function and emotional well-being of β = .23, p < .001; β = .17, p < .01, respectively. Future studies of factors that influence physical function and emotional well-being in this population should take into account health status indicators such as allostatic load, comorbidity, and perceived racism/discrimination.

Interventions to improve the appropriate use of polypharmacy for older people

BACKGROUND

Inappropriate polypharmacy is a particular concern in older people and is associated with negative health outcomes. Choosing the best interventions to improve appropriate polypharmacy is a priority, hence interest in appropriate polypharmacy, where many medicines may be used to achieve better clinical outcomes for patients, is growing.

OBJECTIVES

This review sought to determine which interventions, alone or in combination, are effective in improving the appropriate use of polypharmacy and reducing medication-related problems in older people.

SEARCH METHODS

In November 2013, for this first update, a range of literature databases including MEDLINE and EMBASE were searched, and handsearching of reference lists was performed. Search terms included 'polypharmacy', 'medication appropriateness' and 'inappropriate prescribing'.

SELECTION CRITERIA

A range of study designs were eligible. Eligible studies described interventions affecting prescribing aimed at improving appropriate polypharmacy in people 65 years of age and older in which a validated measure of appropriateness was used (e.g. Beers criteria, Medication Appropriateness Index (MAI)).

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed abstracts of eligible studies, extracted data and assessed risk of bias of included studies. Study-specific estimates were pooled, and a random-effects model was used to yield summary estimates of effect and 95% confidence intervals (CIs). The GRADE (Grades of Recommendation, Assessment, Development and Evaluation) approach was used to assess the overall quality of evidence for each pooled outcome.

MAIN RESULTS

Two studies were added to this review to bring the total number of included studies to 12. One intervention consisted of computerised decision support; 11 complex, multi-faceted pharmaceutical approaches to interventions were provided in a variety of settings. Interventions were delivered by healthcare professionals, such as prescribers and pharmacists. Appropriateness of prescribing was measured using validated tools, including the MAI score post intervention (eight studies), Beers criteria (four studies), STOPP criteria (two studies) and START criteria (one study). Interventions included in this review resulted in a reduction in inappropriate medication usage. Based on the GRADE approach, the overall quality of evidence for all pooled outcomes ranged from very low to low. A greater reduction in MAI scores between baseline and follow-up was seen in the intervention group when compared with the control group (four studies; mean difference -6.78, 95% CI -12.34 to -1.22). Postintervention pooled data showed a lower summated MAI score (five studies; mean difference -3.88, 95% CI -5.40 to -2.35) and fewer Beers drugs per participant (two studies; mean difference -0.1, 95% CI -0.28 to 0.09) in the intervention group compared with the control group. Evidence of the effects of interventions on hospital admissions (five studies) and of medication-related problems (six studies) was conflicting.

AUTHORS' CONCLUSIONS

It is unclear whether interventions to improve appropriate polypharmacy, such as pharmaceutical care, resulted in clinically significant improvement; however, they appear beneficial in terms of reducing inappropriate prescribing.

Frailty in Patients with Cardiovascular Disease: Why, When, and How to Measure

Frailty is a geriatric syndrome of impaired resistance to stressors due to a decline in physiologic reserve. Frailty and cardiovascular disease (CVD) share a common biological pathway, and CVD may accelerate the development of frailty. Frailty is identified in 25% to 50% of patients with CVD, depending on the frailty scale used and the population studied. Frail patients with CVD, especially those undergoing invasive procedures or suffering from coronary artery disease and heart failure, are more likely to suffer adverse outcomes as compared to their non-frail counterparts. Five-meter gait speed is a simple and effective way of objectively measuring frailty in patients with CVD and should be incorporated in risk assessment.