Geographic and facility variation in inpatient stroke rehabilitation: multilevel analysis of functional status

Regional variation in length of stay for stroke inpatient rehabilitation in traditional Medicare and Medicare Advantage

Regional variation in health care use threatens efficient and equitable resource allocation. Within the Medicare program, variation in care delivery may differ between centrally administered traditional Medicare (TM) and privately managed Medicare Advantage (MA) plans, which rely on different strategies to control care utilization. As MA enrollment grows, it is particularly important for program design and long-term health care equity to understand regional variation between TM and MA plans. This study examined regional variation in length of stay (LOS) for stroke inpatient rehabilitation between TM and MA plans in 2019 and how that changed in 2020, the first year of the COVID-19 pandemic. Results showed that MA plans had larger across-region variations than TM (SD = 0.26 vs 0.24 days; 11% relative difference). In 2020, across-region variation for MA further increased, but the trend for TM stayed relatively stable. Market competition among all inpatient rehabilitation facilities (IRFs) within a region was associated with a moderate increase in within-region variation of LOS (elasticity = 0.46). Policies reducing administrative variation across MA plans or increasing regional market competition among IRFs can mitigate regional variation in health care use.

Multi-Site Identification and Generalization of Clusters of Walking Behaviors in Individuals With Chronic Stroke and Neurotypical Controls

BACKGROUND

Walking patterns in stroke survivors are highly heterogeneous, which poses a challenge in systematizing treatment prescriptions for walking rehabilitation interventions.

OBJECTIVES

We used bilateral spatiotemporal and force data during walking to create a multi-site research sample to: (1) identify clusters of walking behaviors in people post-stroke and neurotypical controls and (2) determine the generalizability of these walking clusters across different research sites. We hypothesized that participants post-stroke will have different walking impairments resulting in different clusters of walking behaviors, which are also different from control participants.

METHODS

We gathered data from 81 post-stroke participants across 4 research sites and collected data from 31 control participants. Using sparse K-means clustering, we identified walking clusters based on 17 spatiotemporal and force variables. We analyzed the biomechanical features within each cluster to characterize cluster-specific walking behaviors. We also assessed the generalizability of the clusters using a leave-one-out approach.

RESULTS

We identified 4 stroke clusters: a fast and asymmetric cluster, a moderate speed and asymmetric cluster, a slow cluster with frontal plane force asymmetries, and a slow and symmetric cluster. We also identified a moderate speed and symmetric gait cluster composed of controls and participants post-stroke. The moderate speed and asymmetric stroke cluster did not generalize across sites.

CONCLUSIONS

Although post-stroke walking patterns are heterogenous, these patterns can be systematically classified into distinct clusters based on spatiotemporal and force data. Future interventions could target the key features that characterize each cluster to increase the efficacy of interventions to improve mobility in people post-stroke.

Built Environments to Support Rehabilitation for People With Stroke From the Hospital to the Home (B-Sure): Protocol for a Mixed Method Participatory Co-Design Study

BACKGROUND

A global trend is to move rehabilitation closer to people's neighborhoods and homes. Still, little attention has been given to how the built environment outside the hospital setting might impact rehabilitation and recovery for stroke survivors.

OBJECTIVE

The overarching objective of this project is to develop conceptual models of built environments that support stroke rehabilitation and recovery outside the hospital setting. Specifically, the project will explore factors and characteristics of the built environment that support people with stroke and their families and identify innovative built environments that can be designed for local health care. The project will examine facilitators and obstacles for implementing built environmental solutions and evaluate the potential benefits, feasibility, and acceptability.

METHODS

The project uses a mixed methods design approach with 3 phases. In phase 1, factors and characteristics of the built environment for rehabilitation will be identified. Based on the results from phase 1, phase 2 will involve co-designing prototypes of environments to support the rehabilitation process for people with stroke. Finally, the prototypes will be evaluated in phase 3. Qualitative and quantitative methods will include a literature review, a concept mapping (CM) study, stakeholder interviews, prototype development, and testing. The project will use multidimensional scaling, hierarchical cluster analysis, descriptive statistics for quantitative data, and content analysis for qualitative data. Location analysis will rely on the location-allocation model for network problems, and the rule-based analysis will be based on geographic information systems data.

RESULTS

As of the submission of this protocol, ethical approval for the CM study and the interview study has been obtained. Data collection is planned to start in September 2023 and the workshops later in the same year. The scoping review is ongoing from January 2023. The CM study is ongoing and will be finalized in the spring of 2024. We expect to finish the data analysis in the second half of 2024. The project is a 3-year project and will continue until December 2025.

CONCLUSIONS

We aim to determine how new environments could better support a person's control over their day, environment, goals, and ultimately control over their recovery and rehabilitation activities. This "taking charge" approach would have the greatest chance of transferring the care closer to the patient's home. By co-designing with multiple stakeholders, we aim to create solutions with the potential for rapid implementation. The project's outcomes may target other people with frail health after a hospital stay or older persons in Sweden and anywhere else. The impact and social benefits include collaboration between important stakeholders to explore how new environments can support the transition to local health care, co-design, and test of new conceptual models of environments that can promote health and well-being for people post stroke.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/52489.

Multi-site identification and generalization of clusters of walking behaviors in individuals with chronic stroke and neurotypical controls

Background

Walking patterns in stroke survivors are highly heterogeneous, which poses a challenge in systematizing treatment prescriptions for walking rehabilitation interventions.

Objective

We used bilateral spatiotemporal and force data during walking to create a multi-site research sample to: 1) identify clusters of walking behaviors in people post-stroke and neurotypical controls, and 2) determine the generalizability of these walking clusters across different research sites. We hypothesized that participants post-stroke will have different walking impairments resulting in different clusters of walking behaviors, which are also different from control participants.

Methods

We gathered data from 81 post-stroke participants across four research sites and collected data from 31 control participants. Using sparse K-means clustering, we identified walking clusters based on 17 spatiotemporal and force variables. We analyzed the biomechanical features within each cluster to characterize cluster-specific walking behaviors. We also assessed the generalizability of the clusters using a leave-one-out approach.

Results

We identified four stroke clusters: a fast and asymmetric cluster, a moderate speed and asymmetric cluster, a slow cluster with frontal plane force asymmetries, and a slow and symmetric cluster. We also identified a moderate speed and symmetric gait cluster composed of controls and participants post-stroke. The moderate speed and asymmetric stroke cluster did not generalize across sites.

Conclusions

Although post-stroke walking patterns are heterogenous, these patterns can be systematically classified into distinct clusters based on spatiotemporal and force data. Future interventions could target the key features that characterize each cluster to increase the efficacy of interventions to improve mobility in people post-stroke.

Keeping it all in balance: a qualitative analysis of the role of balance outcome measurement in physical therapist decision-making and patient outcomes

PURPOSE

The use of outcome measures (OMs) is a hallmark of contemporary physical therapy in the USA. The effect of OM utilization on patient care decisions and the results of PT services remain poorly understood. The purpose of this study is to explore PTs perceptions about the relationship between balance OMs and decision-making and how that interaction impacts patient outcomes, particularly for patients with acquired brain injury.

MATERIALS AND METHODS

This qualitative study used semi-structured phone interviews with an interview guide. Maximum variation sampling was used. Thematic analysis was situated in a priori determined theory-based categories.

RESULTS

Twenty-three physical therapists (PTs) from diverse geographic areas and practice settings participated. Therapists expressed diverse views on the impact of OM use on patient outcomes, but the majority perceived that using OMs improved rehabilitation outcomes. The use of OMs was related to the selection of optimal intervention type and intensity and justified continued high-frequency rehabilitation services. OMs were important to therapists' decision-making.

CONCLUSIONS

In the present study, PTs reported that they believe the use of validated, clinically useful OMs may improve patient outcomes.Implications For RehabilitationBalance outcome measures are considered an important tool to the optimal management of the profound impact of balance impairments after brain injury.Most physical therapists in this study believe that using balance outcome measures results in better outcomes for patients with brain injury.In this study, physical therapists reported using outcome measures in wide-ranging ways to guide clinical decisions about balance in those with brain injury.

Post-Acute Care in Inpatient Rehabilitation Facilities Between Traditional Medicare and Medicare Advantage Plans Before and During the COVID-19 Pandemic

OBJECTIVES

Compare post-acute care (PAC) utilization and outcomes in inpatient rehabilitation facilities (IRF) between beneficiaries covered by Traditional Medicare (TM) and Medicare Advantage (MA) plans during the COVID-19 pandemic relative to the previous year.

DESIGN

This multiyear cross-sectional study used Inpatient Rehabilitation Facility-Patient Assessment Instrument (IRF-PAI) data to assess PAC delivery from January 2019 to December 2020.

SETTING AND PARTICIPANTS

Inpatient rehabilitation for stroke, hip fracture, joint replacement, and cardiac and pulmonary conditions among Medicare beneficiaries 65 years or older.

METHODS

Patient-level multivariate regression models with difference-in-differences approach were used to compare TM and MA plans in length of stay (LOS), payment per episode, functional improvements, and discharge locations.

RESULTS

A total of 271,188 patients were analyzed [women (57.1%), mean (SD) age 77.8 (0.06) years], among whom 138,277 were admitted for stroke, 68,488 hip fracture, 19,020 joint replacement, and 35,334 cardiac and 10,069 pulmonary conditions. Before the pandemic, MA beneficiaries had longer LOS (+0.22 days; 95% CI: 0.15-0.29), lower payment per episode (-$361.05; 95% CI: -573.38 to -148.72), more discharges to home with a home health agency (HHA) (48.9% vs 46.6%), and less to a skilled nursing facility (SNF) (15.7% vs 20.2%) than TM beneficiaries. During the pandemic, both plan types had shorter LOS (-0.68 day; 95% CI: 0.54-0.84), higher payment (+$798; 95% CI: 558-1036), increased discharges to home with an HHA (52.8% vs 46.6%), and decreased discharges to an SNF (14.5% vs 20.2%) than before. Differences between TM and MA beneficiaries in these outcomes became smaller and less significant. All results were adjusted for beneficiary and facility characteristics.

CONCLUSIONS AND IMPLICATIONS

Although the COVID-19 pandemic affected PAC delivery in IRF in the same directions for both TM and MA plans, the timing, time duration, and magnitude of the impacts were different across measures and admission conditions. Differences between the 2 plan types shrank and performance across all dimensions became more comparable over time.

Non-human and human service efficiency of long-term care facilities in China

Introduction

Care services provided by long-term care facilities (LTCFs) are currently plagued by care resource shortages and insufficient utilization. The analysis on the temporal and spatial distribution of human resources and non-human resources in LTCFs, could provide a basis to optimize resource allocation and efficient use of limited resources.

Methods

This study used data envelopment analysis to comprehensively evaluate the efficiency of human and non-human resources in different time spans and regions. The spatial Markov chain and spatial correlation were also applied to explore the heterogeneity of and correlation between the service efficiency of LTCFs in different regions and then analyzes the influencing factors of efficiency using Tobit regression model.

Results

The quantitative changes in the service efficiency of LTCFs in various provinces showed a "W" shape in two periods, ranging from 0.8 to 1.6. The overall efficiency of LTCFs in different regions had a lower probability to achieve short-term cross-stage development. Non-human resource efficiency presented a "cluster" distribution mode, demonstrating a great probability to achieve cross-stage development, which might be due to the regional disparities of economic development and land resource. Tobit regression analysis results also showed that the comprehensive efficiency of LTCFs decreases by 0.210 for every square increase in construction space variation. However, human resource efficiency had a significant spatial polarization, making it difficult to develop area linkages. The reason for this might be the nursing staff have relatively stable regional characteristics, weakening the inter-provincial spatial connection. We also found that female workers, aged between 35 and 45 can positively affect the efficiency of LTCFs. Those staff stay focused and improve their skills, which might improve the efficiency of LTCFs. So improving technology and service quality changes by increasing female workers, aged between 35 and 45, and avoiding excessive construction space changes can enhance the growth of service quality and personnel stability of LTCFs.

Conclusion

There is an urgent trade-off among staff quality improvement, resource reduction, construction excessive and substantial regional variation in efficiency. Therefore, strengthening policy support to encourage inter-regional initiatives, particularly highlighting the development of human resources interaction and common development is urgent.

Development and Evaluation of Rehabilitation Service Areas for the United States

BACKGROUND

Geographic areas have been developed for many healthcare sectors including acute and primary care. These areas aid in understanding health care supply, use, and outcomes. However, little attention has been given to developing similar geographic tools for understanding rehabilitation in post-acute care. The purpose of this study was to develop and characterize post-acute care Rehabilitation Service Areas (RSAs) in the United States (US) that reflect rehabilitation use by Medicare beneficiaries.

METHODS

A patient origin study was conducted to cluster beneficiary ZIP (Zone Improvement Plan) code tabulation areas (ZCTAs) with providers who service those areas using Ward's clustering method. We used US national Medicare claims data for 2013 to 2015 for beneficiaries discharged from an acute care hospital to an inpatient rehabilitation facility (IRF), skilled nursing facility (SNF), long-term care hospital (LTCH), or home health agency (HHA). Medicare is a US health insurance program primarily for older adults. The study population included patient records across all diagnostic groups. We used IRF, SNF, LTCH and HHA services to create the RSAs. We used 2013 and 2014 data (n = 2,730,366) to develop the RSAs and 2015 data (n = 1,118,936) to evaluate stability. We described the RSAs by provider type availability, population, and traveling patterns among beneficiaries.

RESULTS

The method resulted in 1,711 discrete RSAs. 38.7% of these RSAs had IRFs, 16.1% had LTCHs, and 99.7% had SNFs. The number of RSAs varied across states; some had fewer than 10 while others had greater than 70. Overall, 21.9% of beneficiaries traveled from the RSA where they resided to another RSA for care.

CONCLUSIONS

Rehabilitation Service Areas are a new tool for the measurement and understanding of post-acute care utilization, resources, quality, and outcomes. These areas provide policy makers, researchers, and administrators with small-area boundaries to assess access, supply, demand, and understanding of financing to improve practice and policy for post-acute care in the US.

Rehabilitation Therapy Doses Are Low After Stroke and Predicted by Clinical Factors

BACKGROUND

Stroke is a leading cause of long-term disability. Greater rehabilitation therapy after stroke is known to improve functional outcomes. This study examined therapy doses during the first year of stroke recovery and identified factors that predict rehabilitation therapy dose.

METHODS

Adults with new radiologically confirmed stroke were enrolled 2 to 10 days after stroke onset at 28 acute care hospitals across the United States. Following an initial assessment during acute hospitalization, the number of physical therapy, occupational therapy, and speech therapy sessions were determined at visits occurring 3, 6, and 12 months following stroke. Negative binomial regression examined whether clinical and demographic factors were associated with therapy counts. False discovery rate was used to correct for multiple comparisons.

RESULTS

Of 763 patients enrolled during acute stroke admission, 510 were available for follow-up. Therapy counts were low overall, with most therapy delivered within the first 3 months; 35.0% of patients received no physical therapy; 48.8%, no occupational therapy, and 61.7%, no speech therapy. Discharge destination was significantly related to cumulative therapy; the percentage of patients discharged to an inpatient rehabilitation facility varied across sites, from 0% to 71%. Most demographic factors did not predict therapy dose, although Hispanic patients received a lower cumulative amount of physical therapy and occupational therapy. Acutely, the severity of clinical factors (grip strength and National Institutes of Health Stroke Scale score, as well as National Institutes of Health Stroke Scale subscores for aphasia and neglect) predicted higher subsequent therapy doses. Measures of impairment and function (Fugl-Meyer, modified Rankin Scale, and Stroke Impact Scale Activities of Daily Living) assessed 3 months after stroke also predicted subsequent cumulative therapy doses.

CONCLUSIONS

Rehabilitative therapy doses during the first year poststroke are low in the United States. This is the first US-wide study to demonstrate that behavioral deficits predict therapy dose, with patients having more severe deficits receiving higher doses. Findings suggest directions for identifying groups at risk of receiving disproportionately low rehabilitation doses.

Identifying factors associated with acute hospital discharge dispositions in patients with moderate-to-severe traumatic brain injury

OBJECTIVE

Identify sociodemographic, injury, and hospital-level factors associated with acute hospital discharge dispositions following acute hospitalization for moderate-to-severe traumatic brain injury (TBI) in the United States.

METHODS

The 2011-2014 National Trauma Data Bank data was used, including 466 acute care hospitals and 114,736 patients ≥16 years old who survived moderate-to-severe TBI. Outcome was acute hospital discharge dispositions: home with/without care (HC), skilled nursing home/other care facility (SNF/ICF) and inpatient rehabilitation/long-term care facility (IRF). Independent variables were patients' sociodemographic, injury, and hospital-level factors. Multilevel modeling was used to assess associations and compare likelihood of discharges.

RESULTS

Of all patients, 74.5%, 14.6% ,and 10.9% were discharged to HC, SNF/ICF ,and IRF, respectively. Intraclass correlation coefficients indicated that hospitals explained 14.3% and 14.8% of variations in probabilities of institution dispositions. Sociodemographic factors including older age, females, Non-Hispanic Whites, recipients of commercial insurance, and Medicare/Medicaid were significantly associated with higher institution discharges. Hospital-related factors including bed size, teaching status, trauma accreditations, and hospital locations were significantly associated with discharge dispositions.

CONCLUSION

Identifying factors associated with discharge dispositions after acute hospitalization of TBI is pertinent to ensure quality of care and optimal patient outcomes. Further research into hospital-related variations in acute care discharge dispositions is recommended.

Rationale for a Clinical Trial That Compares Acute Stroke Rehabilitation at Inpatient Rehabilitation Facilities to Skilled Nursing Facilities: Challenges and Opportunities

In the United States, approximately 400,000 patients with acute stroke are discharged annually to inpatient rehabilitation facilities (IRFs) or skilled nursing facilities (SNFs). Typically, IRFs provide time-intensive therapy for an average of 2-3 weeks, whereas SNFs provide more moderately intensive therapy for 4-5 weeks. The factors that influence discharge to an IRF or SNF are multifactorial and poorly understood. The complexity of these factors in combination with subjective clinical indications contributes to large variations in the use of IRFs and SNFs. This has significant financial implications for health care expenditure, given that stroke rehabilitation at IRFs costs approximately double that at SNFs. To control health care spending without compromising outcomes, the Institute of Medicine has stated that policy reforms that promote more efficient use of IRFs and SNFs are critically needed. A major barrier to the formulation of such policies is the highly variable and low-quality evidence for the comparative effectiveness of IRF- vs SNF-based stroke rehabilitation. The current evidence is limited by the inability of observational data to control for residual confounding, which contributes to substantial uncertainty around any magnitude of benefit for IRF- vs SNF-based care. Furthermore, it is unclear which specific patients would receive the most benefit from each setting. A randomized controlled trial addresses these issues, because random treatment allocation facilitates an equitable distribution of measured and unmeasured confounders. We discuss several measurement, practical, and ethical issues of a trial and provide our rationale for design suggestions that overcome some of these issues.

Built environments for inpatient stroke rehabilitation services and care: a systematic literature review

OBJECTIVES

To identify, appraise and synthesise existing design evidence for inpatient stroke rehabilitation facilities; to identify impacts of these built environments on the outcomes and experiences of people recovering from stroke, their family/caregivers and staff.

DESIGN

A convergent segregated review design was used to conduct a systematic review.

DATA SOURCES

Ovid MEDLINE, Scopus, Web of Science and Cumulative Index to Nursing and Allied Health Literature were searched for articles published between January 2000 and November 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Qualitative, quantitative and mixed-methods studies investigating the impact of the built environment of inpatient rehabilitation facilities on stroke survivors, their family/caregivers and/or staff.

DATA EXTRACTION AND SYNTHESIS

Two authors separately completed the title, abstract, full-text screening, data extraction and quality assessment. Extracted data were categorised according to the aspect of the built environment explored and the outcomes reported. These categories were used to structure a narrative synthesis of the results from all included studies.

RESULTS

Twenty-four articles were included, most qualitative and exploratory. Half of the included articles investigated a particular aspect of the built environment, including environmental enrichment and communal areas (n=8), bedroom design (n=3) and therapy spaces (n=1), while the other half considered the environment in general. Findings related to one or more of the following outcome categories: (1) clinical outcomes, (2) patient activity, (3) patient well-being, (4) patient and/or staff safety and (5) clinical practice. Heterogeneous designs and variables of interest meant results could not be compared, but some repeated findings suggest that attractive and accessible communal areas are important for patient activity and well-being.

CONCLUSIONS

Stroke rehabilitation is a unique healthcare context where patient activity, practice and motivation are paramount. We found many evidence gaps that with more targeted research could better inform the design of rehabilitation spaces to optimise care.

PROSPERO REGISTRATION NUMBER

CRD42020158006.

Understanding Variation in Postacute Care: Developing Rehabilitation Service Areas Through Geographic Mapping

OBJECTIVE

The aims of the study were to demonstrate a method for developing rehabilitation service areas and to compare service areas based on postacute care rehabilitation admissions to service areas based on acute care hospital admissions.

DESIGN

We conducted a secondary analysis of 2013-2014 Medicare records for older patients in Texas (N = 469,172). Our analysis included admission records for inpatient rehabilitation facilities, skilled nursing facilities, long-term care hospitals, and home health agencies. We used Ward's algorithm to cluster patient ZIP Code Tabulation Areas based on which facilities patients were admitted to for rehabilitation. For comparison, we set the number of rehabilitation clusters to 22 to allow for comparison to the 22 hospital referral regions in Texas. Two methods were used to evaluate rehabilitation service areas: intraclass correlation coefficient and variance in the number of rehabilitation beds across areas.

RESULTS

Rehabilitation service areas had a higher intraclass correlation coefficient (0.081 vs. 0.076) and variance in beds (27.8 vs. 21.4). Our findings suggest that service areas based on rehabilitation admissions capture has more variation than those based on acute hospital admissions.

CONCLUSIONS

This study suggests that the use of rehabilitation service areas would lead to more accurate assessments of rehabilitation geographic variations and their use in understanding rehabilitation outcomes.

Stroke rehabilitation in low-income and middle-income countries: a call to action

The WHO Rehabilitation 2030 agenda recognises the importance of rehabilitation in the value chain of quality health care. Developing and delivering cost-effective, equitable-access rehabilitation services to the right people at the right time is a challenge for health services globally. These challenges are amplified in low-income and middle-income countries (LMICs), in which the unmet need for rehabilitation and recovery treatments is high. In this Series paper, we outline what is happening more broadly as part of the WHO Rehabilitation 2030 agenda, then focus on the specific challenges to development and implementation of effective stroke rehabilitation services in LMICs. We use stroke rehabilitation clinical practice guidelines from both high-income countries and LMICs to highlight opportunities for rapid uptake of evidence-based practice. Finally, we call on educators and the stroke rehabilitation clinical, research, and not-for-profit communities to work in partnership for greater effect and to accelerate progress.

Assessment of Differences in Inpatient Rehabilitation Services for Length of Stay and Health Outcomes Between US Medicare Advantage and Traditional Medicare Beneficiaries

IMPORTANCE

Enrollment in Medicare Advantage (MA) has been increasing and has reached one-third of total Medicare enrollment. Because of data limitations, direct comparison of inpatient rehabilitation services between MA and traditional Medicare (TM) beneficiaries has been very scarce. Subgroups of elderly individuals admitted to inpatient rehabilitation facilities (IRFs) may experience different care outcomes by insurance types.

OBJECTIVE

To measure the differences in length of stay and health outcomes of inpatient rehabilitation services between TM and MA beneficiaries in the US.

DESIGN, SETTING, AND PARTICIPANTS

This multiyear cross-sectional study used the Uniform Data System for Medical Rehabilitation to assess rehabilitation services received by elderly (aged >65 years) Medicare beneficiaries in IRFs between 2007 and 2016 for stroke, hip fracture, and joint replacement. Generalized linear models were used to assess whether an association existed between Medicare insurance type and IRF care outcomes. Models were adjusted for demographic characteristics, clinical conditions, and facility characteristics. Data were analyzed from September 2018 to August 2019.

EXPOSURES

Medicare insurance plan type, TM or MA.

MAIN OUTCOMES AND MEASURES

Inpatient length of stay in IRFs, functional improvements, and possibility of returning to the community after discharge.

RESULTS

The sample included a total of 1 028 470 patients (634 619 women [61.7%]; mean [SD] age, 78.23 [7.26] years): 473 017 patients admitted for stroke, 323 029 patients admitted for hip fracture, and 232 424 patients admitted for joint replacement. Individuals enrolled in MA plans were younger than TM beneficiaries (mean [SD] age, 76.96 [7.02] vs 77.95 [7.26] years for stroke, 79.92 [6.93] vs 80.85 [6.87] years for hip fracture, and 74.79 [6.58] vs 75.88 [6.80] years for joint replacement) and were more likely to be black (17 086 [25.5%] vs 54 648 [17.9%] beneficiaries) or Hispanic (14 496 [28.5%] vs 24 377 [8.3%] beneficiaries). The MA beneficiaries accounted for 21.8% (103 204 of 473 017) of admissions for stroke, 11.5% (37 160 of 323 029) of admissions for hip fracture, and 11.8% (27 314 of 232 424) of admissions for joint replacement. The MA beneficiaries had shorter mean lengths of stay than did TM beneficiaries for both stroke (0.11 day; 95% CI, -0.15 to -0.07 day; 1.15% shorter) and hip fracture (0.17 day; 95% CI, -0.21 to -0.13 day; 0.85% shorter). The MA beneficiaries also had higher possibilities of returning to the community than did TM beneficiaries, by 3.0% (95% CI, 2.6%-3.4%) for stroke and 5.0% (95% CI, 4.4%-5.6%) for hip fracture. The shorter length of stay and better ultimate outcomes were achieved without substantially compromising the intermediate functional improvements. Facility type (freestanding vs within an acute care hospital) and patient alternative payment sources other than Medicare (none vs other) partially explained the differences between insurance types.

CONCLUSIONS AND RELEVANCE

This study suggests that MA enrollees experience shorter length of stay and better outcomes for postacute care than do TM beneficiaries in IRFs. The magnitude of the differences depends on treatment deferability, patient sociodemographic subgroups, and facility characteristics.

Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement

Background

The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortality, referral patterns vary widely, raising concerns about substandard care and inflated costs. The objective of this study is to identify factors associated with PAC referral decisions at acute care discharge.

Methods

This study is a retrospective Electronic Health Records (EHR) based review of a cohort of patients with coronary artery bypass graft (CABG) and valve replacement (VR). EHR records were extracted from the Cerner Health-Facts Data warehouse and covered 49 hospitals in the United States of America (U.S.) from January 2010 to December 2015. Multinomial logistic regression was used to identify associations of 29 variables comprising patient characteristics, hospital profiles, and patient conditions at discharge.

Results

The cohort had 14,224 patients with mean age 63.5 years, with 10,234 (71.9%) male and 11,946 (84%) Caucasian, with 5827 (40.96%) being discharged to home without additional care (Home), 5226 (36.74%) to home health care (HHC), 1721 (12.10%) to skilled nursing facilities (SNF), 1168 (8.22%) to inpatient rehabilitation facilities (IRF), 164 (1.15%) to long term care hospitals (LTCH), and 118 (0.83%) to other locations. Census division, hospital size, teaching hospital status, gender, age, marital status, length of stay, and Charlson comorbidity index were identified as highly significant variables (p- values < 0.001) that influence the PAC referral decision. Overall model accuracy was 62.6%, and multiclass Area Under the Curve (AUC) values were for Home: 0.72; HHC: 0.72; SNF: 0.58; IRF: 0.53; LTCH: 0.52, and others: 0.46.

Conclusions

Census location of the acute care hospital was highly associated with PAC referral practices, as was hospital capacity, with larger hospitals referring patients to PAC at a greater rate than smaller hospitals. Race and gender were also statistically significant, with Asians, Hispanics, and Native Americans being less likely to be referred to PAC compared to Caucasians, and female patients being more likely to be referred than males. Additional analysis indicated that PAC referral practices are also influenced by the mix of PAC services offered in each region.

Discharge Patterns for Ischemic and Hemorrhagic Stroke Patients Going From Acute Care Hospitals to Inpatient and Skilled Nursing Rehabilitation

OBJECTIVE

The aim of the study was to explore variation in acute care use of inpatient rehabilitation facilities and skilled nursing facilities rehabilitation after ischemic and hemorrhagic stroke.

DESIGN

A secondary analysis of Medicare claims data linked to inpatient rehabilitation facilities and skilled nursing facilities assessment files (2013-2014) was performed.

RESULTS

The sample included 122,084 stroke patients discharged to inpatient or skilled nursing facilities from 3677 acute hospitals. Of the acute hospitals, 3649 discharged patients with an ischemic stroke (range = 1-402 patients/hospital, median = 15) compared with 1832 acute hospitals that discharged patients with hemorrhagic events (range = 1-73 patients/hospital, median = 4). The intraclass correlation coefficient examined variation in discharge settings attributed to acute hospitals (ischemic intraclass correlation coefficient = 0.318, hemorrhagic intraclass correlation coefficient = 0.176). Patients older than 85 yrs and those with greater numbers of co-morbid conditions were more likely to discharge to skilled nursing facilities. Comparison of self-care and mobility across stroke type suggests that patients with ischemic stroke have higher functional abilities at admission.

CONCLUSIONS

This study suggests demographic and clinical differences among stroke patients admitted for postacute rehabilitation at inpatient rehabilitation facilities and skilled nursing facilities settings. Furthermore, examination of variation in ischemic and hemorrhagic stroke discharges suggests acute facility-level differences and indicates a need for careful consideration of patient and facility factors when comparing the effectiveness of inpatient rehabilitation facilities and skilled nursing facilities rehabilitation.

Quality and resource efficiency in hospital service provision: A geoadditive stochastic frontier analysis of stroke quality of care in Germany

We specify a Bayesian, geoadditive Stochastic Frontier Analysis (SFA) model to assess hospital performance along the dimensions of resources and quality of stroke care in German hospitals. With 1,100 annual observations and data from 2006 to 2013 and risk-adjusted patient volume as output, we introduce a production function that captures quality, resource inputs, hospital inefficiency determinants and spatial patterns of inefficiencies. With high relevance for hospital management and health system regulators, we identify performance improvement mechanisms by considering marginal effects for the average hospital. Specialization and certification can substantially reduce mortality. Regional and hospital-level concentration can improve quality and resource efficiency. Finally, our results demonstrate a trade-off between quality improvement and resource reduction and substantial regional variation in efficiency.

Key Characteristics of Rehabilitation Quality Improvement Publications: Scoping Review From 2010 to 2016

OBJECTIVE

To characterize the peer-reviewed quality improvement (QI) literature in rehabilitation.

DATA SOURCES

Five electronic databases were searched for English-language articles from 2010 to 2016. Keywords for QI and safety management were searched for in combination with keywords for rehabilitation content and journals. Secondary searches (eg, references-list scanning) were also performed.

STUDY SELECTION

Two reviewers independently selected articles using working definitions of rehabilitation and QI study types; of 1016 references, 112 full texts were assessed for eligibility.

DATA EXTRACTION

Reported study characteristics including study focus, study setting, use of inferential statistics, stated limitations, and use of improvement cycles and theoretical models were extracted by 1 reviewer, with a second reviewer consulted whenever inferences or interpretation were involved.

DATA SYNTHESIS

Fifty-nine empirical rehabilitation QI studies were found: 43 reporting on local QI activities, 7 reporting on QI effectiveness research, 8 reporting on QI facilitators or barriers, and 1 systematic review of a specific topic. The number of publications had significant yearly growth between 2010 and 2016 (P=.03). Among the 43 reports on local QI activities, 23.3% did not explicitly report any study limitations; 39.5% did not used inferential statistics to measure the QI impact; 95.3% did not cite/mention the appropriate reporting guidelines; only 18.6% reported multiple QI cycles; just over 50% reported using a model to guide the QI activity; and only 7% reported the use of a particular theoretical model. Study sites and focuses were diverse; however, nearly a third (30.2%) examined early mobilization in intensive care units.

CONCLUSIONS

The number of empirical, peer-reviewed rehabilitation QI publications is growing but remains a tiny fraction of rehabilitation research publications. Rehabilitation QI studies could be strengthened by greater use of extant models and theory to guide the QI work, consistent reporting of study limitations, and use of inferential statistics.

Therapy Caps and Variation in Cost of Outpatient Occupational Therapy by Provider, Insurance Status, and Geographic Region

OBJECTIVE

This article describes the cost of occupational therapy by provider, insurance status, and geographic region and the number of visits allowed and out-of-pocket costs under proposed therapy caps.

METHOD

This retrospective, population-based study used Medicare Provider Utilization and Payment Data for occupational therapists billing in 2012 and 2013 (Ns = 3,662 and 3,820, respectively). We examined variations in outpatient occupational therapy services with descriptive statistics and the impact of therapy caps on occupational therapy visits and patient out-of-pocket costs.

RESULTS

Differences in cost between occupational and physical therapists were minimal. The most frequently billed service was therapeutic exercises. Wisconsin had the most inflated outpatient costs in both years. Under the proposed therapy cap, patients could receive an evaluation plus 12-14 visits.

DISCUSSIO

. Wide variation exists in potential patient out-of-pocket costs for occupational therapy services on the basis of insurance coverage and state. Patients without insurance pay a premium.

Length of Stay and Functional Outcomes Among Patients with Stroke Discharged from an Inpatient Rehabilitation Facility in Saudi Arabia

Background

In many countries, the length of stay (LOS) for inpatient rehabilitation following stroke has gradually decreased. It is unclear whether this trend is associated with differences in functional outcomes, especially in developing countries. This study aimed to examine associations between LOS and functional outcomes among patients with stroke discharged from an inpatient rehabilitation facility in Saudi Arabia.

Material/Methods

This retrospective study included all patients (N=409) aged ≥18 years who were admitted to an inpatient rehabilitation for stroke during 2008–2014. There were no deaths in the cohort during the study period. Patients were divided into 4 groups according to days of rehabilitation: ≤30 days (n=114), 31–60 days (n=199), 61–90 days (n=72), and >90 days (n=24). Multivariate regression analyses were used to evaluate functional outcomes using the functional independence measure (FIM).

Results

The fully adjusted model showed that higher total and subscale FIM scores were significantly associated with a LOS ≤30 days (total β: 18.2, standard error [SE]=4.43, P≤0.0001; motor-FIM: β=13.9, SE=3.70, P=0.0002; cognitive-FIM: β=4.3, SE=1.29, P=0.001), and 31–60 days (total β: 11.3, SE=4.07, P=0.005; motor-FIM: β=8.8, SE=3.40, P=0.009; cognitive-FIM: β=2.4, SE=1.19, P=0.038) compared with >90 days.

Conclusions

A short or intermediate LOS is not necessarily associated with worse outcomes, assuming adequate care is provided.

Successful Community Discharge Following Postacute Rehabilitation for Medicare Beneficiaries: Analysis of a Patient-Centered Quality Measure

OBJECTIVE

To determine the sociodemographic and clinical characteristics as well as health services use associated with successful community discharge.

DATA SOURCE

Inpatient Rehabilitation Facility-Patient Assessment Instrument and Medicare Provider Analysis and Review files.

STUDY DESIGN

We retrospectively examined 167,664 Medicare beneficiaries discharged from inpatient rehabilitation facilities (IRFs) in 2013 to determine the sociodemographic and clinical characteristics as well as health services use associated with successful community discharge.

PRINCIPAL FINDINGS

In the multivariable model, sociodemographic (younger age, no disability, social support), clinical (higher motor and cognitive functional status at admission), and health services use (fewer acute care days and longer IRF days) variables were associated with successful community discharge.

CONCLUSIONS

Remaining in the community is an important patient-centered outcome that could complement other postacute rehabilitation quality measures.

Variation in Functional Status After Hip Fracture: Facility and Regional Influence on Mobility and Self-Care

BACKGROUND

Recent reports show substantial geographic variation in postacute health care spending. Little is known about variation in functional outcomes after postacute rehabilitation for patients with hip fracture. We examined variation in mobility and self-care after hip fracture rehabilitation across inpatient rehabilitation facilities (IRFs), hospital referral regions (HRRs) and states.

METHODS

Retrospective cohort study using data from the Centers for Medicare and Medicaid Services (CMS) from 2006 to 2009. Study sample included 149,258 records from patients 66 years and older at 1,166 IRFs located within 292 HRRs and across 50 states. Hip fracture cases were defined by CMS impairment group codes (08.11, 08.12). Hierarchical generalized linear models were used to assess discharge mobility and self-care functional status, adjusting for individual patient characteristics and the random effect of IRFs, HRRs, and states.

RESULTS

Variation in discharge mobility status as assessed by the intraclass correlation percentage (ICC%) was 8.8% across IRFs, 4.0% across HRRs, and 1.8% across states. For self-care, the ICCs were 10.2% across IRFs, 4.8% across HRRs, and 2.4% across states. The range of discharge mobility scores (maximum functional status rating to minimum functional status rating) showed a 9.6-point difference for IRFs, 6.5 for regions, and 2.6 for states. Range of discharge self-care scores were 13.1 for IRFs, 6.8 for HRRs, and 3.4 for states.

CONCLUSION

Variation in functional status following postacute hip fracture rehabilitation appears to occur primarily at the level of facilities rather than geographic location.

Postacute Care Setting, Facility Characteristics, and Poststroke Outcomes: A Systematic Review

OBJECTIVES

To synthesize research comparing poststroke health outcomes between patients rehabilitated in skilled nursing facilities (SNFs) and those in inpatient rehabilitation facilities (IRFs) as well as to evaluate relations between facility characteristics and outcomes.

DATA SOURCES

PubMed and CINAHL searches spanned January 1, 1998, to October 6, 2016, and encompassed MeSH and free-text keywords for stroke, IRF/SNF, and study outcomes. Searches were restricted to peer-reviewed research in humans published in English.

STUDY SELECTION

Observational and experimental studies examining outcomes of adult patients with stroke rehabilitated in an IRF or SNF were eligible. Studies had to provide site of care comparisons and/or analyses incorporating facility-level characteristics and had to report ≥1 primary outcome (discharge setting, functional status, readmission, quality of life, all-cause mortality). Unpublished, single-center, descriptive, and non-US studies were excluded. Articles were reviewed by 1 author, and when uncertain, discussion with study coauthors achieved consensus. Fourteen titles (0.3%) were included.

DATA EXTRACTION

The types of data, time period, size, design, and primary outcomes were extracted. We also extracted 2 secondary outcomes (length of IRF/SNF stay, cost) when reported by included studies. Effect measures, modeling approaches, methods for confounding adjustment, and potential confounders were extracted. Data were abstracted by 1 author, and the accuracy was verified by a second reviewer.

DATA SYNTHESIS

Two studies evaluating community discharge, 1 study evaluating the predicted probability of readmission, and 3 studies evaluating all-cause mortality favored IRFs over SNFs. Functional status comparisons were inconsistent. No studies evaluated quality of life. Two studies confirmed increased costs in the IRF versus SNF setting. Although substantial facility variation was described, few studies characterized sources of variation.

CONCLUSIONS

The few studies comparing poststroke outcomes indicated better outcomes (with higher costs) for patients in IRFs versus those in SNFs. Contemporary research on the role of the postacute care setting and its attributes in determining health outcomes should be prioritized to inform reimbursement system reform.

Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics

The field of biomedical informatics experienced a productive 2015 in terms of research. In order to highlight the accomplishments of that research, elicit trends, and identify shortcomings at a macro level, a 19-person team conducted an extensive review of the literature in clinical and consumer informatics. The result of this process included a year-in-review presentation at the American Medical Informatics Association Annual Symposium and a written report (see supplemental data). Key findings are detailed in the report and summarized here. This article organizes the clinical and consumer health informatics research from 2015 under 3 themes: the electronic health record (EHR), the learning health system (LHS), and consumer engagement. Key findings include the following: (1) There are significant advances in establishing policies for EHR feature implementation, but increased interoperability is necessary for these to gain traction. (2) Decision support systems improve practice behaviors, but evidence of their impact on clinical outcomes is still lacking. (3) Progress in natural language processing (NLP) suggests that we are approaching but have not yet achieved truly interactive NLP systems. (4) Prediction models are becoming more robust but remain hampered by the lack of interoperable clinical data records. (5) Consumers can and will use mobile applications for improved engagement, yet EHR integration remains elusive.

Patient- and Hospital-Level Determinants of Rehabilitation for In-Patient Stroke Care: An Observation Analysis

During acute stroke care, rehabilitation usage may be influenced by patient- and hospital-related factors. We would like to identify patient- and hospital-level determinants of population-level inpatient rehabilitation usage associated with acute stroke care.From data obtained from the claim information from the National Health Insurance Administration (NHIA) in Taiwan (2009-2011), we enrolled 82,886 stroke patients with intracerebral hemorrhage and cerebral infarction from 207 hospitals. A generalized linear mixed model (GLMM) analyses with patient-level factors specified as random effects were conducted (for cross-level interactions).The rate of rehabilitation usage was 51% during acute stroke care. The hospital-related factors accounted for a significant amount of variability (intraclass correlation, 50%). Hospital type was the only significant hospital-level variable and can explain the large amount of variability (58%). Patients treated in smaller hospitals experienced few benefits of rehabilitation services, and those with surgery in a smaller hospital used fewer rehabilitation services. All patient-level variables were significant.With GLMM analyses, we identified the hospital type and its cross-level interaction, and explained a large portion of variability in rehabilitation for stroke patients in Taiwan.