Association of Continuity of Care With Health Care Utilization and Expenditures Among Patients Discharged Home After Stroke or Transient Ischemic Attack.

OBJECTIVES: To examine the association of prestroke continuity of care (COC) with postdischarge health care utilization and expenditures. STUDY POPULATION: The study population included 2233 patients with a diagnosis of stroke or a transient ischemic attack hospitalized in one of 41 hospitals in North Carolina between March 2016 and July 2019 and discharged directly home from acute care. METHODS: COC was assessed from linked Centers for Medicare and Medicaid Services Medicare claims using the Modified, Modified Continuity Index. Logistic regressions and 2-part models were used to examine the association of prestroke primary care COC with postdischarge health care utilization and expenditures. RESULTS: Relative to patients in the first (lowest) COC quartile, patients in the second and third COC quartiles were more likely [21% (95% CI: 8.5%, 33.5%) and 33% (95% CI: 20.5%, 46.1%), respectively] to have an ambulatory care visit within 14 days. Patients in the highest COC quartile were more likely to visit a primary care provider but less likely to see a stroke specialist. Highest as compared with lowest primary care COC quartile was associated with $45 lower (95% CI: $14, $76) average expenditure for ambulatory care visits within 30 days postdischarge. Patients in the highest, as compared with the lowest, primary care COC quartile were 36% less likely (95% CI: 8%, 64%) to be readmitted within 30 days postdischarge and spent $340 less (95% CI: $2, $678) on unplanned readmissions. CONCLUSIONS: These findings underscore the importance of primary care COC received before stroke hospitalization to postdischarge care and expenditures.

Referral to Community-Based Rehabilitation Following Acute Stroke: Findings From the COMPASS Pragmatic Trial.

BACKGROUND: Few studies on care transitions following acute stroke have evaluated whether referral to community-based rehabilitation occurred as part of discharge planning. Our objectives were to describe the extent to which patients discharged home were referred to community-based rehabilitation and identify the patient, hospital, and community-level predictors of referral. METHODS: We examined data from 40 North Carolina hospitals that participated in the COMPASS (Comprehensive Post-Acute Stroke Services) cluster-randomized trial. Participants included adults discharged home following stroke or transient ischemic attack (N=10 702). In this observational analysis, COMPASS data were supplemented with hospital-level and county-level data from various sources. The primary outcome was referral to community-based rehabilitation (physical, occupational, or speech therapy) at discharge. Predictor variables included patient (demographic, stroke-related, medical history), hospital (structure, process), and community (therapist supply) measures. We used generalized linear mixed models with a hospital random effect and hierarchical backward model selection procedures to identify predictors of therapy referral. RESULTS: Approximately, one-third (36%) of stroke survivors (mean age, 66.8 [SD, 14.0] years; 49% female, 72% White race) were referred to community-based rehabilitation. Rates of referral to physical, occupational, and speech therapists were 31%, 18%, and 10%, respectively. Referral rates by hospital ranged from 3% to 78% with a median of 35%. Patient-level predictors included higher stroke severity, presence of medical comorbidities, and older age. Female sex (odds ratio, 1.24 [95% CI, 1.12-1.38]), non-White race (2.20 [2.01-2.44]), and having Medicare insurance (1.12 [1.02-1.23]) were also predictors of referral. Referral was higher for patients living in counties with greater physical therapist supply. Much of the variation in referral across hospitals remained unexplained. CONCLUSIONS: One-third of stroke survivors were referred to community-based rehabilitation. Patient-level factors predominated as predictors. Variation across hospitals was notable and presents an opportunity for further evaluation and possible targets for improved poststroke rehabilitative care. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02588664.

Implementation of US Post-Acute Care Payment Reform and COVID-19 Policies: Examining Experiences of Health System Leaders, Staff, Patients, and Family Caregivers-A Protocol.

In fiscal year 2020, new national Medicare payment models were implemented in the two most common post-acute care settings (i.e., skilled nursing facilities (SNFs) and home health agencies (HHAs)), which were followed by the emergence of COVID-19. Given concerns about the unintended consequence of these events, this study protocol will examine how organizations responded to these policies and whether there were changes in SNF and HHA access, care delivery, and outcomes from the perspectives of leadership, staff, patients, and families. We will conduct a two-phase multiple case study guided by the Institute of Medicine's Model of Healthcare Systems. Phase I will include three cases for each setting and a maximum of fifty administrators per case. Phase II will include a subset of Phase I organizations, which are grouped into three setting-specific cases. Each Phase II case will include a maximum of four organizations. Semi-structured interviews will explore the perspectives of frontline staff, patients, and family caregivers (Phase II). Thematic analysis will be used to examine the impact of payment policy and COVID-19 on organizational operations, care delivery, and patient outcomes. The results of this study intend to develop evidence addressing concerns about the unintended consequences of the PAC payment policy during the COVID-19 pandemic.

Postacute Expenditures Among Patients Discharged Home After Stroke or Transient Ischemic Attack: The COMprehensive Post-Acute Stroke Services (COMPASS) Trial.

OBJECTIVES: The COMPASS (COMprehensive Post-Acute Stroke Services) pragmatic trial cluster-randomized 40 hospitals in North Carolina to the COMPASS transitional care (TC) postacute care intervention or usual care. We estimated the difference in healthcare expenditures postdischarge for patients enrolled in the COMPASS-TC model of care compared with usual care. METHODS: We linked data for patients with stroke or transient ischemic attack enrolled in the COMPASS trial with administrative claims from Medicare fee-for-service (n = 2262), Medicaid (n = 341), and a large private insurer (n = 234). The primary outcome was 90-day total expenditures, analyzed separately by payer. Secondary outcomes were total expenditures 30- and 365-days postdischarge and, among Medicare beneficiaries, expenditures by point of service. In addition to intent-to-treat analysis, we conducted a per-protocol analysis to compare Medicare patients who received the intervention with those who did not, using randomization status as an instrumental variable. RESULTS: We found no statistically significant difference in total 90-day postacute expenditures between intervention and usual care; the results were consistent across payers. Medicare beneficiaries enrolled in the COMPASS intervention arm had higher 90-day hospital readmission expenditures ($682, 95% CI $60-$1305), 30-day emergency department expenditures ($132, 95% CI $13-$252), and 30-day ambulatory care expenditures ($67, 95% CI $38-$96) compared with usual care. The per-protocol analysis did not yield a significant difference in 90-day postacute care expenditures for Medicare COMPASS patients. CONCLUSIONS: The COMPASS-TC model did not significantly change patients' total healthcare expenditures for up to 1 year postdischarge.

Learning Health Systems Research Competencies: A Survey of the Rehabilitation Research Community.

OBJECTIVE: The Learning Health Systems Rehabilitation Research Network (LeaRRn), an NIH-funded rehabilitation research resource center, aims to advance the research capacity of learning health systems (LHSs) within the rehabilitation community. A needs assessment survey was administered to inform development of educational resources. METHODS: The online survey included 55 items addressing interest in and knowledge of 33 LHS research core competencies in 7 domains and additional items on respondent characteristics. Recruitment targeting rehabilitation researchers and health system collaborators was conducted by LeaRRn, LeaRRn health system partners, rehabilitation professional organizations, and research university program directors using email, listservs, and social media announcements. RESULTS: Of the 650 people who initiated the survey, 410 respondents constituted the study sample. Respondents indicated interest in LHS research and responded to at least 1 competency item and/or demographic question. Two-thirds of the study sample had doctoral research degrees, and one-third reported research as their profession. The most common clinical disciplines were physical therapy (38%), communication sciences and disorders (22%), and occupational therapy (10%). Across all 55 competency items, 95% of respondents expressed "a lot" or "some" interest in learning more, but only 19% reported "a lot" of knowledge. Respondents reported "a lot" of interest in a range of topics, including selecting outcome measures that are meaningful to patients (78%) and implementing research evidence in health systems (75%). "None" or "some" knowledge was reported most often in Systems Science areas such as understanding the interrelationships between financing, organization, delivery, and rehabilitation outcomes (93%) and assessing the extent to which research activities will improve the equity of health systems (93%). CONCLUSION: Results from this large survey of the rehabilitation research community indicate strong interest in LHS research competencies and opportunities to advance skills and training. IMPACT: Competencies where respondents indicated high interest and limited knowledge can inform development of LHS educational content that is most needed.

Prevalence and Predictors of Ambulatory Care Physicians' Documentation of Mobility Limitations in Older Adults.

OBJECTIVE: To determine how often physicians document mobility limitations in visits with older adults, and which patient, physician, and practice characteristics associate with documented mobility limitations. DESIGN: We completed a cross-sectional analysis of National Ambulatory Medical Care Surveys, years 2012-2016. Multivariate analyses were conducted to identify patient, physician, and practice-level factors associated with mobility limitation documentation. SETTING: Ambulatory care visits. PARTICIPANTS: We analyzed visits with adults 65 years and older. Final sample size represented 1.3 billion weighted visits. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: We defined the presence/absence of a mobility limitation by whether any International Classification of Diseases (ICD)-9 or ICD-10 code related to mobility limitations, injury codes, or the patient's "reasons for visit" were documented in the visits. RESULTS: The overall prevalence of mobility limitation documentation was 2.4%. The most common codes were falls-related. Patient-level factors more likely to be associated with mobility limitation documentation were visits by individuals over 85 years of age, relative to 65-69 years, (odds ratio 2.32, 95% confidence interval 1.76-3.07]; with a comorbid diagnosis of arthritis (odds ratio 1.35, 1.18-2.01); and with a comorbid diagnosis of cerebrovascular disease (odds ratio 1.60, 1.13-2.26). Patient-level factors less likely to be associated with mobility limitation documentation were visits by men (odds ratio 0.80, 0.64-0.99); individuals with a cancer diagnosis (odds ratio 0.76, 0.58-0.99); and by individuals seeking care for a chronic problem (relative to a new problem [odds ratio 0.36, 0.29-0.44]). Physician-level factors associated with an increased likelihood of mobility limitation documentation were visits to neurologists (odds ratios 4.48, 2.41-8.32) and orthopedists (odds ratio 2.67, 1.49-4.79) compared with primary care physicians. At the practice-level, mobility documentation varied based on the percentage of practice revenue from Medicare. CONCLUSIONS: Mobility limitations are under-documented and may be primarily captured when changes in function are overt.

Post-acute Ambulatory Care Service Use Among Patients Discharged Home After Stroke or TIA: The Cluster-randomized COMPASS Study.

BACKGROUND AND OBJECTIVES: We examined transitional care management within 90 days and 1 year following discharge home among acute stroke and transient ischemic attack patients from the Comprehensive Post-Acute Stroke Services (COMPASS) Study, a cluster-randomized pragmatic trial of early supported discharge conducted in 41 hospitals (40 hospital units) in North Carolina, United States. METHODS: Data for 2262 of the total 6024 (37.6%; 1069 intervention and 1193 usual care) COMPASS patients were linked with the Centers for Medicare and Medicaid Services fee-for-service Medicare claims. Time to the first ambulatory care visit was examined using Cox proportional hazard models adjusted for patient characteristics not included in the randomization protocol. RESULTS: Only 6% of the patients [mean (SD) age 74.9 (10.2) years, 52.1% women, 80.3% White)] did not have an ambulatory care visit within 90 days postdischarge. Mean time (SD) to first ambulatory care visit was 12.0 (26.0) and 16.3 (35.1) days in intervention and usual care arms, respectively, with the majority of visits in both study arms to primary care providers. The COMPASS intervention resulted in a 27% greater use of ambulatory care services within 1 year postdischarge, relative to usual care [HR=1.27 (95% CI: 1.14-1.41)]. The use of transitional care billing codes was significantly greater in the intervention arm as compared with usual care [OR=1.87 (95% CI: 1.54-2.27)]. DISCUSSION: The COMPASS intervention, which was aimed at improving stroke post-acute care, was associated with an increase in the use of ambulatory care services by stroke and transient ischemic attack patients discharged home and an increased use of transitional care billing codes by ambulatory providers.

Effects of an electronic health record-based mobility assessment and automated referral for inpatient physical therapy on patient outcomes: A quasi-experimental study.

OBJECTIVE: To assess the effectiveness of a hospital physical therapy (PT) referral triggered by scores on a mobility assessment embedded in the electronic health record (EHR) and completed by nursing staff on hospital admission. DATA SOURCES: EHR and billing data from 12 acute care hospitals in a western Pennsylvania health system (January 2017-February 2018) and 11 acute care hospitals in a northeastern Ohio health system (August 2019-July 2021). STUDY DESIGN: We utilized a regression discontinuity design to compare patients admitted to PA hospitals with stroke who reached the mobility score threshold for an EHR-PT referral (treatment) to those who did not (control). Outcomes were hospital length of stay (LOS) and 30-day readmission or mortality. Control variables included demographics, insurance, income, and comorbidities. Hospital systems with EHR-PT referrals were also compared to those without (OH hospitals as alternative control). Subgroup analyses based on age were also conducted. DATA EXTRACTION: We identified adult patients with a primary or secondary diagnosis of stroke and mobility assessments completed by nursing (n = 4859 in PA hospitals, n = 1749 in OH hospitals) who completed their inpatient stay. PRINCIPAL FINDINGS: In the PA hospitals, patients with EHR-PT referrals had an 11.4 percentage-point decrease in their 30-day readmission or mortality rates (95% CI -0.57, -0.01) relative to the control. This effect was not observed in the OH hospitals for 30-day readmission (ß = 0.01; 95% CI -0.25, 0.26). Adults over 60 years old with EHR-PT referrals in PA had a 26.2 percentage-point (95% CI -0.88, -0.19) decreased risk of readmission or mortality compared to those without. Unclear relationships exist between EHR-PT referrals and hospital LOS in PA. CONCLUSIONS: Health systems should consider methodologies to facilitate early acute care hospital PT referrals informed by mobility assessments.

Skilled Nursing and Inpatient Rehabilitation Facility Use by Medicare Fee-for-Service Beneficiaries Discharged Home After a Stroke: Findings From the COMPASS Trial.

OBJECTIVES: To examine the effect of a comprehensive transitional care model on the use of skilled nursing facility (SNF) and inpatient rehabilitation facility (IRF) care in the 12 months after acute care discharge home following stroke; and to identify predictors of experiencing a SNF or IRF admission following discharge home after stroke. DESIGN: Cluster randomized pragmatic trial SETTING: Forty-one acute care hospitals in North Carolina. PARTICIPANTS: 2262 Medicare fee-for-service beneficiaries with transient ischemic attack or stroke discharged home. The sample was 80.3% White and 52.1% female, with a mean (SD) age of 74.9 (10.2) years and a mean ± SD National Institutes of Health stroke scale score of 2.3 (3.7). INTERVENTION: Comprehensive transitional care model (COMPASS-TC), which consisted of a 2-day follow-up phone call from the postacute care coordinator and 14-day in-person visit with the postacute care coordinator and advanced practice provider. MAIN OUTCOME MEASURES: Time to first SNF or IRF and SNF or IRF admission (yes/no) in the 12 months following discharge home. All analyses utilized multivariable mixed models including a hospital-specific random effect to account for the non-independence of measures within hospital. Intent to treat analyses using Cox proportional hazards regression assessed the effect of COMPASS-TC on time to SNF/IRF admission. Logistic regression was used to identify clinical and non-clinical predictors of SNF/IRF admission. RESULTS: Only 34% of patients in the intervention arm received COMPASS-TC per protocol. COMPASS-TC was not associated with a reduced hazard of a SNF/ IRF admission in the 12 months post-discharge (hazard ratio, 1.20, with a range of 0.95-1.52) compared to usual care. This estimate was robust to additional covariate adjustment (hazard ratio, 1.23) (0.93-1.64). Both clinical and non-clinical factors (ie, insurance, geography) were predictors of SNF/IRF use. CONCLUSIONS: COMPASS-TC was not consistently incorporated into real-world clinical practice. The use of a comprehensive transitional care model for patients discharged home after stroke was not associated with SNF or IRF admissions in a 12-month follow-up period. Non-clinical factors predictive of SNF/IRF use suggest potential issues with access to this type of care.

Hospital Readmissions and Mortality Among Fee-for-Service Medicare Patients With Minor Stroke or Transient Ischemic Attack: Findings From the COMPASS Cluster-Randomized Pragmatic Trial.

Background Mortality and hospital readmission rates may reflect the quality of acute and postacute stroke care. Our aim was to investigate if, compared with usual care (UC), the COMPASS-TC (Comprehensive Post-Acute Stroke Services Transitional Care) intervention (INV) resulted in lower all-cause and stroke-specific readmissions and mortality among patients with minor stroke and transient ischemic attack discharged from 40 diverse North Carolina hospitals from 2016 to 2018. Methods and Results Using Medicare fee-for-service claims linked with COMPASS cluster-randomized trial data, we performed intention-to-treat analyses for 30-day, 90-day, and 1-year unplanned all-cause and stroke-specific readmissions and all-cause mortality between INV and UC groups, with 90-day unplanned all-cause readmissions as the primary outcome. Effect estimates were determined via mixed logistic or Cox proportional hazards regression models adjusted for age, sex, race, stroke severity, stroke diagnosis, and documented history of stroke. The final analysis cohort included 1069 INV and 1193 UC patients (median age 74 years, 80% White, 52% women, 40% with transient ischemic attack) with median length of hospital stay of 2 days. The risk of unplanned all-cause readmission was similar between INV versus UC at 30 (9.9% versus 8.7%) and 90 days (19.9% versus 18.9%), respectively. No significant differences between randomization groups were seen in 1-year all-cause readmissions, stroke-specific readmissions, or mortality. Conclusions In this pragmatic trial of patients with complex minor stroke/transient ischemic attack, there was no difference in the risk of readmission or mortality with COMPASS-TC relative to UC. Our study could not conclusively determine the reason for the lack of effectiveness of the INV. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02588664.

Is Discordance Between Recommended and Actual Postacute Discharge Setting a Risk Factor for Readmission in Patients With Congestive Heart Failure?

Background Readmissions in patients with congestive heart failure are common and often preventable. Limited data suggest that patients discharged to a less intensive postacute care setting than recommended are likely to readmit. We examined whether postacute setting discordance (discharge to a less intensive postacute setting than recommended by a physical and occupational therapist) was associated with hospital readmission in patients with congestive heart failure. We also assessed sociodemographic and clinical predictors of setting discordance. Methods and Results Retrospective analysis of administrative claims and electronic health record data was conducted on 25 500 adults with a discharge diagnosis of congestive heart failure from 12 acute care hospitals in Western Pennsylvania. Generalized linear mixed models were estimated to examine the association between postacute setting discordance and 30-day hospital readmission and to identify predictors of setting discordance. The 30-day readmission and postacute setting discordance rates were high (23.7%, 20.6%). While controlling for demographic and clinical covariates, patients in discordant postacute settings were more likely to be readmitted within 30 days (adjusted odds ratio [OR], 1.12; 95% CI, 1.04-1.20). The effect was also seen in the subgroup of patients with low mobility scores (adjusted OR, 1.20; 95% CI, 1.08-1.33). Factors associated with setting discordance were lower-income, higher comorbidity burden, therapist recommendation disagreement, and midrange mobility limitations. Conclusions Postacute setting discordance was associated with an increased readmission risk in patients hospitalized with congestive heart failure. Maximizing concordance between therapist recommended and actual postacute discharge setting may decrease readmissions. Understanding factors associated with post-acute setting discordance can inform strategies to improve the quality of the discharge process.

Risk Factors Associated With Transition From Acute to Chronic Low Back Pain in US Patients Seeking Primary Care.

Importance: Acute low back pain (LBP) is highly prevalent, with a presumed favorable prognosis; however, once chronic, LBP becomes a disabling and expensive condition. Acute to chronic LBP transition rates vary widely owing to absence of standardized operational definitions, and it is unknown whether a standardized prognostic tool (ie, Subgroups for Targeted Treatment Back tool [SBT]) can estimate this transition or whether early non-guideline concordant treatment is associated with the transition to chronic LBP. Objective: To assess the associations between the transition from acute to chronic LBP with SBT risk strata; demographic, clinical, and practice characteristics; and guideline nonconcordant processes of care. Design, Setting, and Participants: This inception cohort study was conducted alongside a multisite, pragmatic cluster randomized trial. Adult patients with acute LBP stratified by SBT risk were enrolled in 77 primary care practices in 4 regions across the United States between May 2016 and June 2018 and followed up for 6 months, with final follow-up completed by March 2019. Data analysis was conducted from January to March 2020. Exposures: SBT risk strata and early LBP guideline nonconcordant processes of care (eg, receipt of opioids, imaging, and subspecialty referral). Main Outcomes and Measures: Transition from acute to chronic LBP at 6 months using the National Institutes of Health Task Force on Research Standards consensus definition of chronic LBP. Patient demographic characteristics, clinical factors, and LBP process of care were obtained via electronic medical records. Results: Overall, 5233 patients with acute LBP (3029 [58%] women; 4353 [83%] White individuals; mean [SD] age 50.6 [16.9] years; 1788 [34%] low risk; 2152 [41%] medium risk; and 1293 [25%] high risk) were included. Overall transition rate to chronic LBP at six months was 32% (1666 patients). In a multivariable model, SBT risk stratum was positively associated with transition to chronic LBP (eg, high-risk vs low-risk groups: adjusted odds ratio [aOR], 2.45; 95% CI, 2.00-2.98; P < .001). Patient and clinical characteristics associated with transition to chronic LBP included obesity (aOR, 1.52; 95% CI, 1.28-1.80; P < .001); smoking (aOR, 1.56; 95% CI, 1.29-1.89; P < .001); severe and very severe baseline disability (aOR, 1.82; 95% CI, 1.48-2.24; P < .001 and aOR, 2.08; 95% CI, 1.60-2.68; P < .001, respectively) and diagnosed depression/anxiety (aOR, 1.66; 95% CI, 1.28-2.15; P < .001). After controlling for all other variables, patients exposed to 1, 2, or 3 nonconcordant processes of care within the first 21 days were 1.39 (95% CI, 1.21-2.32), 1.88 (95% CI, 1.53-2.32), and 2.16 (95% CI, 1.10-4.25) times more likely to develop chronic LBP compared with those with no exposure (P < .001). Conclusions and Relevance: In this cohort study, the transition rate to chronic LBP was substantial and increased correspondingly with SBT stratum and early exposure to guideline nonconcordant care.

The Cost of Implementing and Sustaining the COMprehensive Post-Acute Stroke Services Model.

BACKGROUND: The COMprehensive Post-Acute Stroke Services (COMPASS) model, a transitional care intervention for stroke patients discharged home, was tested against status quo postacute stroke care in a cluster-randomized trial in 40 hospitals in North Carolina. This study examined the hospital-level costs associated with implementing and sustaining COMPASS. METHODS: Using an activity-based costing survey, we estimated hospital-level resource costs spent on COMPASS-related activities during approximately 1 year. We identified hospitals that were actively engaged in COMPASS during the year before the survey and collected resource cost estimates from 22 hospitals. We used median wage data from the Bureau of Labor Statistics and COMPASS enrollment data to estimate the hospital-level costs per COMPASS enrollee. RESULTS: Between November 2017 and March 2019, 1582 patients received the COMPASS intervention across the 22 hospitals included in this analysis. Average annual hospital-level COMPASS costs were $2861 per patient (25th percentile: $735; 75th percentile: $3,475). Having 10% higher stroke patient volume was associated with 5.1% lower COMPASS costs per patient (P=0.016). About half (N=10) of hospitals reported postacute clinic visits as their highest-cost activity, while a third (N=7) reported case ascertainment (ie, identifying eligible patients) as their highest-cost activity. CONCLUSIONS: We found that the costs of implementing COMPASS varied across hospitals. On average, hospitals with higher stroke volume and higher enrollment reported lower costs per patient. Based on average costs of COMPASS and readmissions for stroke patients, COMPASS could lower net costs if the model is able to prevent about 6 readmissions per year.

Movement Matters, and So Does Context: Lessons Learned From Multisite Implementation of the Movement Matters Activity Program for Stroke in the Comprehensive Postacute Stroke Services Study.

The purpose of this Special Communication is to discuss the rationale and design of the Movement Matters Activity Program for Stroke (MMAP) and explore implementation successes and challenges in home health and outpatient therapy practices across the stroke belt state of North Carolina. MMAP is an interventional component of the Comprehensive Postacute Stroke Services Study, a randomized multicenter pragmatic trial of stroke transitional care. MMAP was designed to maximize survivor health, recovery, and functional independence in the community and to promote evidence-based rehabilitative care. MMAP provided training, tools, and resources to enable rehabilitation providers to (1) prescribe physical activity and exercise according to evidence-based guidelines and programs, (2) match service setting and parameters with survivor function and benefit coverage, and (3) align treatment with quality metric reporting to demonstrate value-based care. MMAP implementation strategies were aligned with the Expert Recommendations for Implementing Change project, and MMAP site champion and facilitator survey feedback were thematically organized into the Consolidated Framework for Implementation Research domains. MMAP implementation was challenging, required modification and was affected by provider- and system-level factors. Program and study participation were limited and affected by practice priorities, productivity standards, and stroke patient volume. Sites with successful implementation appeared to have empowered MMAP champions in vertically integrated systems that embraced innovation. Findings from this broad evaluation can serve as a road map for the design and implementation of other comprehensive, complex interventions that aim to bridge the currently disconnected realms of acute care, postacute care, and community resources.

Time Between an Emergency Department Visit and Initiation of Physical Therapist Intervention: Health Care Utilization and Costs.

OBJECTIVE: The aim of this study was to examine the association between the length of time between an emergency department (ED) visit and the subsequent initiation of physical therapist intervention for low back pain (LBP) on 1-year LBP-related health care utilization (ie, surgery, advanced imaging, injections, long-term opioid use, ED visits) and costs. METHODS: This retrospective cohort study focused on individuals who consulted the ED for an initial visit for LBP. Claims from a single statewide, all-payers database were used. LBP-related health care use and costs for the 12 months after the ED visit were extracted. Poisson and general linear models weighted with inverse probability treatment weights were used to compare the outcomes of patients who attended physical therapy early or delayed after the ED visit. RESULTS: Compared with the delayed physical therapy group (n = 94), the early physical therapy group (n = 171) had a lower risk of receiving lumbar surgery (relative risk [RR] = 0.47, 95% CI = 0.26-0.86) and advanced imaging (RR = 0.72, 95% CI = 0.55-0.95), and they were less likely to have long-term opioid use (RR = 0.45, 95% CI = 0.28-0.76). The early physical therapy group incurred lower costs (mean = $3,806, 95% CI = $1,998-$4,184) than those in the delayed physical therapy group (mean = $8,689, 95% CI = $4,653-$12,727). CONCLUSION: Early physical therapy following an ED visit was associated with a reduced risk of using some types of health care and reduced health care costs in the 12 months following the ED visit. IMPACT STATEMENT: The ED is an entry point into the health care system for patients with LBP. Until now, the impact of the length of time between an ED visit and physical therapy for LBP has not been well understood. This study shows that swift initiation of physical therapy following an ED visit for LBP is associated with lower LBP-related health utilization for some important outcomes and lower LBP-related health care costs.

Assessment of Health Care Utilization for Dizziness in Ambulatory Care Settings in the United States.

OBJECTIVE: Describe patient and physician characteristics, and physician recommendations for ambulatory care visits for dizziness in the US. STUDY DESIGN: Cross-sectional analysis of visits for dizziness from the National Ambulatory Medical Care Survey (2013-2015). SETTING: Ambulatory care clinics in the US. PATIENTS: 20.6 million weighted adult visits [mean age 58.7 (1.0)] for dizziness, identified using ICD-9-CM codes (386.00-386.90, 780.40). MAIN OUTCOME MEASURES: Patient, clinical, and physician characteristics and physician diagnostic and treatment recommendations. Prevalence rates for benign paroxysmal positional vertigo (BPPV), unspecified dizziness, and other vestibular disorders were estimated, and descriptive statistics were used to characterize patients, physicians, and physicians' recommendations. RESULTS: The prevalence rate for dizziness visits was 8.8 per 1,000 (95% confidence interval [CI]: 7.5, 10.3). Most visits were for unspecified dizziness (75%), made by women (65%), whites (79%), and were insured by private insurance (50%). Visits for dizziness were to primary care physicians (51.9%), otolaryngologists (13.3%), and neurologists (9.6%). Imaging was ordered and medication prescription was provided in 5.5% and 20.1% of visits. Physical therapy (PT) was used for a higher percentage of BPPV visits (12.9%), than for other diagnoses (<1.0%). Physician treatment recommendations for vestibular diagnoses varied by physician specialty. CONCLUSIONS: A large percentage of visits had an unspecified diagnosis. A low number of visits for vestibular disorders were referred to PT. There are opportunities to improve care by using specific diagnoses and increasing the utilization of effective interventions for vestibular disorders.

Meeting Medicare requirements for transitional care: Do stroke care and policy align?

OBJECTIVE: This study (1) describes transitional care for stroke patients discharged home from hospitals, (2) compares hospitals' standards of transitional care with core transitional care management (TCM) components recognized by Medicare, and (3) examines the association of policy and hospital specialty designations with TCM implementation. METHODS: Hospitals participating in the Comprehensive Post-Acute Stroke Services (COMPASS) Study provided data on their hospital, stroke patient population, and standards of transitional care. Hospital-reported transitional care strategies were compared with the federal TCM definition (2-day follow-up, 14-day visit, non-face-to-face services). We examined the associations of TCM billing, stroke center certification, and Magnet nursing excellence designation with TCM implementation. RESULTS: Transitional care varied widely among 41 hospitals in North Carolina and no one strategy was universally applied or provided across hospitals. One third of hospitals met the TCM definition (37% provided telephone follow-up, 76% provided face-to-face provider follow-up, all provided a type of non-face-to-face support). There were no differences between groups (TCM met/not met) in hospital characteristics or transitional care resources and processes. Stroke center certification, Magnet designation, and use of TCM billing codes were not different for hospitals that did and did not meet the TCM definition. CONCLUSIONS: There was substantial variation in the provision of strategies supporting stroke patients' transition home from the hospital. Supportive stroke care transitions are essential when more than 50% of stroke patients are discharged home and more than half experience moderate to severe strokes. More research is needed to identify drivers of TCM uptake. CLINICALTRIALSGOV IDENTIFIER: NCT02588664.

Physical and Occupational Therapy From the Acute to Community Setting After Stroke: Predictors of Use, Continuity of Care, and Timeliness of Care.

OBJECTIVE: To identify predictors of therapist use (any use, continuity of care, timing of care) in the acute care hospital and community (home or outpatient) for patients discharged home after stroke. DESIGN: Retrospective cohort analysis of Medicare claims (2010-2013) linked to hospital-level and county-level data. SETTING: Acute care hospital and community. PARTICIPANTS: Patients (N=23,413) who survived the first 30 days at home after being discharged from an acute care hospital after stroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Physical and occupational therapist use in acute care and community settings; continuity of care across the inpatient and home or the inpatient and outpatient settings; and early therapist use in the home or outpatient setting. Multivariate logistic and multinomial logistic regression analyses were conducted to identify hospital-level, county-level, and sociodemographic characteristics associated with therapist use, continuity, and timing, controlling for clinical characteristics. RESULTS: Seventy-eight percent of patients received therapy in the acute care hospital, but only 40.8% received care in the first 30 days after discharge. Hospital nurse staffing was positively associated with inpatient and outpatient therapist use and continuity of care across settings. Primary care provider supply was associated with inpatient and outpatient therapist use, continuity of care, and early therapist care in the home and outpatient setting. Therapist supply was associated with continuity of care and early therapist use in the community. There was consistent evidence of sociodemographic disparities in therapist use. CONCLUSIONS: Therapist use after stroke varies in the community and for specific sociodemographic subgroups and may be underused. Inpatient nurse staffing levels and primary care provider supply were the most consistent predictors of therapist use, continuity of care, and early therapist use.

The Comprehensive Post-Acute Stroke Services (COMPASS) study: design and methods for a cluster-randomized pragmatic trial.

BACKGROUND: Patients discharged home after stroke face significant challenges managing residual neurological deficits, secondary prevention, and pre-existing chronic conditions. Post-discharge care is often fragmented leading to increased healthcare costs, readmissions, and sub-optimal utilization of rehabilitation and community services. The COMprehensive Post-Acute Stroke Services (COMPASS) Study is an ongoing cluster-randomized pragmatic trial to assess the effectiveness of a comprehensive, evidence-based, post-acute care model on patient-centered outcomes. METHODS: Forty-one hospitals in North Carolina were randomized (as 40 units) to either implement the COMPASS care model or continue their usual care. The recruitment goal is 6000 patients (3000 per arm). Hospital staff ascertain and enroll patients discharged home with a clinical diagnosis of stroke or transient ischemic attack. Patients discharged from intervention hospitals receive 2-day telephone follow-up; a comprehensive clinic visit within 2 weeks that includes a neurological evaluation, assessments of social and functional determinants of health, and an individualized COMPASS Care Plan™ integrated with a community-specific resource database; and additional follow-up calls at 30 and 60 days post-stroke discharge. This model is consistent with the Centers for Medicare and Medicaid Services transitional care management services provided by physicians or advanced practice providers with support from a nurse to conduct patient assessments and coordinate follow-up services. Patients discharged from usual care hospitals represent the control group and receive the standard of care in place at that hospital. Patient-centered outcomes are collected from telephone surveys administered at 90 days. The primary endpoint is patient-reported functional status as measured by the Stroke Impact Scale 16. Secondary outcomes are: caregiver strain, all-cause readmissions, mortality, healthcare utilization, and medication adherence. The study engages patients, caregivers, and other stakeholders (including policymakers, advocacy groups, payers, and local community coalitions) to advise and support the design, implementation, and sustainability of the COMPASS care model. DISCUSSION: Given the high societal and economic burden of stroke, identifying a care model to improve recovery, independence, and quality of life is critical for stroke survivors and their caregivers. The pragmatic trial design provides a real-world assessment of the COMPASS care model effectiveness and will facilitate rapid implementation into clinical practice if successful. TRIAL REGISTRATION: Clinicaltrials.gov: NCT02588664 ; October 23, 2015.