Factors Associated With Discharge Destination in Community-Dwelling Adults Admitted to Acute General Medical Units

Predicting Discharge Destination in Older People From Acute General Medical Wards: A Systematic Review of the Psychometric Properties of 23 Assessment Tools

BACKGROUND

Predicting discharge in older people from general medicine wards is challenging. It requires consideration of function, mobility, and cognitive levels, which vary within the cohort and may fluctuate over a short period. A previous systematic review identified 23 assessment tools associated with discharge destination in this cohort; however, the psychometric properties of these tools have not been explored.

PURPOSE

To evaluate, synthesize, and compare the psychometric properties of 23 assessment tools used to predict discharge destination from acute general medical wards.

METHODS

Four databases were systematically searched: Medline (Ovid), Embase (Ovid), Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Evidence-Based Medicine Review databases. Studies were included if participants were from general medicine or acute geriatric wards and investigated at least one psychometric property (reliability, internal consistency, measurement error, responsiveness, hypothesis testing, and structural or criterion validity) in 23 previously identified assessment tools. Data were extracted and methodological quality were assessed independently by 2 assessors using the COnsensus-based Standards for selection of health Measure INstruments (COSMIN) checklist. As per the COSMIN checklist, results were rated against "sufficient," "insufficient," or "indeterminate."

RESULTS

Forty-one studies were included. The de Morton Mobility Index (DEMMI) was the most rigorously evaluated assessment tool; it scored "sufficient" psychometric properties in 5 of 7 psychometric categories. The Alpha Functional Independence Measure (AlphaFIM), Barthel Index, and Mini-Mental State Examination (MMSE) demonstrated "sufficient" psychometric properties in at least 3 psychometric categories. The remainder of the tools (n = 19, 83%) had "sufficient" psychometric properties in 2 or fewer psychometric categories.

DISCUSSION AND CONCLUSION

Based on current evidence, out of 23 assessment tools associated with discharge destination in acute general medicine, the DEMMI has the strongest psychometric properties. Other tools with substantial evidence in this cohort include the AlphaFIM, MMSE, and Barthel Index. Research is required to thoroughly evaluate the psychometric properties of the remaining tools, which have been insufficiently researched to date. Results can be used by physical therapists to guide selection of appropriate tools to assess mobility and predict discharge destination.

TRIAL REGISTRATION

A priori, PROSPERO (CRD 42017064209).

Association of functional and cognitive impairment severity with discharge to long-term care facilities in older patients admitted to a general acute care hospital from home

BACKGROUND

The early recognition of hospitalized patients at risk of being discharged to long-term care facilities (LTCFs) may help to identify those who require transitional care programs and interventions that support discharge to home. We examined the association of functional and cognitive impairment severity with discharge to LTCFs among older hospitalized patients.

METHODS

In this retrospective cohort study, we used an administrative claims database linked with geriatric assessment data from a general acute care hospital in Japan. We analyzed patients aged ≥65 years discharged between July 2016 and December 2018. The severity of functional and cognitive impairments was assessed using the Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) scale. Based on their DASC-8 scores, patients were designated as Category I (no impairment), Category Ⅱ (mild impairment), or Category III (moderate/severe impairment). We conducted logistic regression analyses to examine the association between the severity of impairments and discharge to LTCFs after adjusting for patient-level factors.

RESULTS

We analyzed 9,060 patients (mean age: 79.4 years). Among the 112 patients (1.2%) discharged to LTCFs, 62.3%, 18.6%, and 19.2% fell under Category I, Category Ⅱ, and Category III, respectively. Category II was not significantly associated with discharge to LTCFs. However, Category III had a significantly higher odds of discharge to LTCFs than Category I (Adjusted odds ratio: 2.812, 95% confidence interval: 1.452-5.449).

CONCLUSION

Patients identified as Category III by the DASC-8 on admission may benefit from enhanced transitional care and interventions that promote discharge to home.

Physical activity is low before and during hospitalisation: A secondary observational study in older Australian general medical patients

OBJECTIVES

To quantify physical activity in patients prior to and during an acute general medical hospital admission and explore relationships between mobility, pre- and in-hospital physical activity.

METHODS

This was a prospective, single-site secondary observational study conducted on general medical wards at a tertiary hospital. Prehospital physical activity was measured via the Physical Activity Scale for the Elderly (PASE; scored 0-400); in-hospital physical activity was measured via accelerometry (time at metabolic equivalents [METs] > 1.5), and mobility was measured via the de Morton Mobility Index (DEMMI). Associations were determined via Spearman's correlations.

RESULTS

Forty-six participants were included: median age 81 [76-85] years, 59% female, DEMMI on admission 39 [30-49]. Prehospital physical activity was low (PASE median 27.1 [1.6-61.9]). In-hospital physical activity was also low (0.5 [0.2-1.5] hours per day being physically active and 54 [16-194] steps per day taken). No statistically significant relationships existed between pre- and in-hospital physical activity (Spearman's rho (ρ) 0.24, 95% CI -0.08-0.53, p = 0.07). However, physical activity levels in the pre- and in-hospital settings were positively associated with patients' mobility in-hospital (Spearman's ρ 0.44, 95% CI 0.15-0.67, p = 0.002; Spearman's ρ 0.40, 95% CI 0.08-0.645, p = 0.011 respectively).

CONCLUSIONS

Physical activity is low both before and during a general medical admission. Assessment of usual physical activity patterns should be part of the clinical assessment of patients in general medicine; however, the low activity levels observed indicate a need for valid and reliable tools suitable for an older, frail cohort. Findings will inform the development of physical activity guidelines during hospitalisation.

Key Data Elements for Longitudinal Tracking of Physical Function: A Modified Delphi Consensus Study

OBJECTIVE

Physical function is associated with important outcomes, yet there is often a lack of continuity in routine assessment. The purpose of this study was to determine data elements and instruments for longitudinal measurement of physical function in routine care among patients transitioning from acute care hospital setting to home with home health care.

METHODS

A 4-round modified Delphi process was conducted with 13 participants with expertise in physical therapy, health care administration, health services research, physiatry/medicine, and health informatics. Three anonymous rounds identified important and feasible data elements. A fourth in-person round finalized the recommended list of individual data elements. Next, 2 focus groups independently provided additional perspectives from other stakeholders.

RESULTS

Response rates were 100% for online rounds 1, 3, and 4 and 92% for round 2. In round 1, 9 domains were identified: physical function, participation, adverse events, behavioral/emotional health, social support, cognition, complexity of illness/disease burden, health care utilization, and demographics. Following the fourth round, 27 individual data elements were recommended. Of these, 20 (74%) are "administrative" and available from most hospital electronic medical records. Additional focus groups confirmed these selections and provided input on standardizing collection methods. A website has been developed to share these results and invite other health care systems to participate in future data sharing of these identified data elements.

CONCLUSION

A modified Delphi consensus process was used to identify critical data elements to track changes in patient physical function in routine care as they transition from acute hospital to home with home health.

IMPACT

Expert consensus on comprehensive and feasible measurement of physical function in routine care provides health care professionals and institutions with guidance in establishing discrete medical records data that can improve patient care, discharge decisions, and future research.

Referral to geriatric rehabilitation: a scoping review of triage factors in acutely hospitalised older patients

OBJECTIVE

Old or frail acutely hospitalised patients can benefit from geriatric rehabilitation but criteria concerning referral decisions are unclear. This review presents an overview of clinical factors associated with referral to geriatric rehabilitation that may further consensus between hospital and rehabilitation professionals on triage.

DESIGN

Scoping review.

METHODS

A review was conducted following Arksey and O'Malley's framework. The search included literature concerning a broad spectrum of acutely hospitalised patients and factors associated with their referral to geriatric rehabilitation.

RESULTS

Selected abstracts were categorised into distinct geriatric rehabilitation care pathways such as stroke, hip fracture, amputation of lower limb, cardiac and oncologic rehabilitation. Abstracts on internal medical patients were further reviewed and 29 studies were included. A total of 13 studies focused on factors identifying rehabilitation needs and 16 on factors associated with outcome of geriatric rehabilitation. Triage factors were diverse and included frailty status, functional decline, cognitive symptoms and multimorbidity. Mood symptoms and living situation further specified post-acute care needs. In overview, triage factors could be characterised as demographic (n = 4), diagnosis-related (n = 8), mental (n = 6), functional (n = 10) or multi-domain (n = 12) and mapped in a transitional care pathway.

CONCLUSIONS AND IMPLICATIONS

Frailty and functional decline are characteristics frequently associated with referral to geriatric rehabilitation of acutely hospitalised internal medical patients. A comprehensive geriatric assessment or a simpler multi-domain set of tests reveals rehabilitation needs and approximates a functional prognosis. Professional consensus on factors and timing of triage in hospital is within reach.

Patients recovering from COVID-19 pneumonia in sub-acute care exhibit severe frailty: Role of the nurse assessment

AIMS AND OBJECTIVES

To document the level of frailty in sub-acute COVID-19 patients recovering from acute respiratory failure and investigate the associations between frailty, assessed by the nurse using the Blaylock Risk Assessment Screening Score (BRASS), and clinical and functional patient characteristics during hospitalisation.

BACKGROUND

Frailty is a major problem in patients discharged from acute care, but no data are available on the frailty risk in survivors of COVID-19 infection.

DESIGN

A descriptive cross-sectional study (STROBE checklist).

METHODS

At admission to sub-acute care in 2020, 236 COVID-19 patients (median age 77 years - interquartile range 68-83) were administered BRASS and classified into 3 levels of frailty risk. The Short Physical Performance Battery (SPPB) was also administered to measure physical function and disability. Differences between BRASS levels and associations between BRASS index and clinical parameters were analysed.

RESULTS

The median BRASS index was 14.0 (interquartile range 9.0-20.0) denoting intermediate frailty (32.2%, 41.1%, 26.7% of patients exhibited low, intermediate and high frailty, respectively). Significant differences emerged between the BRASS frailty classes regards to sex, comorbidities, history of cognitive deficits, previous mechanical ventilation support and SPPB score. Patients with no comorbidities (14%) exhibited low frailty (BRASS: median 5.5, interquartile range 3.0-12.0). Age ≥65 years, presence of comorbidities, cognitive deficit and SPPB % predicted <50% were significant predictors of high frailty.

CONCLUSIONS

Most COVID-19 survivors exhibit substantial frailty and require continuing care after discharge from acute care.

RELEVANCE TO CLINICAL PRACTICE

The BRASS index is a valuable tool for nurses to identify those patients most at risk of frailty, who require a programme of rehabilitation and community reintegration.

Assessment tools and factors used to predict discharge from acute general medical wards: a systematic review

PURPOSE

To identify assessment tools and patient factors statistically associated with discharge destination in general medical inpatients.

MATERIALS AND METHOD

A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines. Four electronic databases were searched. Studies were eligible if they were a quantitative study design, had adult acute general medical inpatients and published in English. Outcomes of interest were tools or factors with statistical correlations with discharge destination (home, subacute or residential care). Articles were screened by two independent assessors. Data were extracted by one reviewer and independently checked by a second reviewer. Data were analysed/described descriptively.

RESULTS

Twenty-three studies were included. Twenty-three tools and 44 factors were identified, which spanned Health Condition, Body Structure and Function, Activity, Participation, Environment and Personal concepts of the World Health Organisation International Classification of Function, Disability and Health (WHO ICF).

CONCLUSIONS

The large number of tools and factors found and their distribution across several WHO ICF concepts exemplifies the complexities of predicting discharge. No single assessment tool that best predicts discharge destination was identified, but rather there were a variety of potential tools identified. Further research is needed to determine the psychometric properties of the identified assessment tools as well as additional predictors of subacute care (including rehabilitation). This is important as it may allow for timely clinical decision making.

TRIAL REGISTRATION

A priori, PROSPERO (CRD42017064209).IMPLICATIONS FOR REHABILITATIONThis systematic review identified a large number of assessment tools and patient factors associated with discharge destination (home, subacute and residential care) in general medical inpatients.All of the domains of the WHO ICF framework are associated with discharge destination and must be considered.Clinicians in the acute setting can use these findings to assist selection of assessment tools to identify patients likely to need rehabilitation or subacute care.Early identification of patients who are unable to return to their place of residence is essential as it allows for provision of early rehabilitation and subsequent discharge planning.