Post-acute Services Research Articles

Racial, Ethnic, and Regional Disparities of Post-Acute Service Utilization After Stroke in the United States.

Post-acute care is critical for patient functional recovery and successful community transition. This study aimed to understand the current racial, ethnic, and regional disparities in post-acute service utilization after stroke. This retrospective cross-sectional study included patients hospitalized for ischemic stroke and intracerebral hemorrhage in 2017-2018 using the National Inpatient Sample. Discharge destinations were classified as follows: (1) facility including inpatient rehabilitation, skilled nursing facility, and facility hospice; (2) home health care (HHC), including home health and home hospice; and (3) home without HHC. Multinomial logistic regression was used to study the odds of discharge to a facility over home and HHC over home without HHC by race, ethnicity, insurance, and census division, adjusting for clinical factors and survey design. Among the 1,000,980 weighted ischemic stroke admissions, 66.9% were White, 17.6% Black, 9.5% Hispanic, 3.1% Asian American/Pacific Islander, and 0.4% Native American. Relative to private insurance, uninsured patients had the lowest adjusted odds of facility over home discharge (0.44; 95% CI 0.40-0.48) and HHC discharge over home without HHC (0.79; 95% CI 0.71-0.88). Compared with White patients, only Hispanic patients with Medicare/Medicaid insurance or self-pay had lower odds of facility over home discharge (adjusted OR 0.80 and 0.75, respectively; 95% CI 0.76-0.84 and 0.63-0.93). Uninsured Hispanic patients also had lower odds of HHC discharge over home without HHC than White patients (0.74; 95% CI 0.57-0.97). Facility discharge rate was the highest in East North Central (39.2%) and lowest in Pacific (31.2%). HHC discharge rate was the highest in New England (20.2%) and lowest in West North Central (10.3%), which had the highest home without HHC discharge (46.1%). Compared with New England, other census divisions had lower odds of facility over any home discharge with Pacific being the lowest (adjusted OR, 0.66; 95% CI 0.60-0.71) and HHC over home without HHC discharge with West North Central being the lowest (adjusted OR, 0.33; 95% CI 0.29-0.38). Similar patterns were observed in intracerebral hemorrhage. Significant insurance-dependent racial and ethnic disparities and regional variations were evident in post-acute service utilization after stroke. Targeted efforts are needed to improve post-acute service access for uninsured patients especially Hispanic patients and people in certain regions.

Skilled Nursing and Home Health Policy: A Primer for the Hospital Clinician

This paper addresses the increasing challenges faced by hospital clinicians in coordinating and recommending postacute care for patients, focusing on issues related to access to the most common postacute services: skilled nursing facilities (SNFs) and home health agencies (HHAs). In coordinating discharges, hospital clinicians have minimal information on care delivery in these settings. This knowledge gap is exacerbated by the disrupted continuum of patient care between acute care hospitals, SNFs, and HHAs. To address these challenges, hospital clinicians must understand how recent federal policies have impacted SNF and HHA care provision. The paper provides an overview of recent Centers for Medicare and Medicaid Services (CMS) policies and programs affecting SNFs and HHAs, including: (1) fee-for-service reimbursement reform (ie, Patient Driven Payment Model [PDPM] and the Patient Driven Groupings Model [PDGM]); (2) bundled payment programs; (3) accountable care organizations; (4) Medicare Advantage plans. Overall, this paper aims to help hospital clinicians stay informed about the evolving landscape of postacute care delivery by providing relevant information on how recent policy changes have impacted patient care.

Medicare-Covered Services Near the End of Life in Medicare Advantage vs Traditional Medicare

Financial incentives in Medicare Advantage (MA), the managed care alternative to traditional Medicare (TM), were designed to reduce overutilization. For patients near the end of life (EOL), MA incentives may reduce potentially burdensome care and encourage hospice but could also restrict access to costly but necessary services. To compare receipt of potentially burdensome treatments and transfers and potentially necessary postacute services in the last 6 months of life in individuals with MA vs TM. A retrospective analysis of Medicare claims data among older Medicare beneficiaries who died between 2016 and 2018. The study included Medicare decedents aged 66 years or older covered by TM (n = 659 135) or MA (n = 360 430). All decedents and the subset of decedents with 1 or more emergent hospitalizations with a life-limiting condition (cancer, dementia, end-stage organ failure) that would likely qualify for hospice care were included. MA enrollment. Receipt of potentially burdensome hospitalizations and treatments; receipt of postdischarge home and facility care. The study included 659 135 TM enrollees (mean [SD] age at death, 83.3 [9.0] years, 54% female, 15.1% non-White, 55% with 1 or more life-limiting condition) and 360 430 MA enrollees (mean [SD] age at death 82.5 [8.7] years, 53% female, 19.3% non-White, 49% with 1 or more life-limiting condition). After regression adjustment, MA enrollees were less likely to receive potentially burdensome treatments (-1.6 percentage points (pp); 95% CI, -2.1 to -1.1) and less likely to die in a hospital (-3.3 pp; 95% CI, -4.0 to -2.7) compared with TM. However, when hospitalized, MA enrollees were more likely to die in the hospital (adjusted difference, 1.3 pp; 95% CI, 1.1-1.5) and less likely to be transferred to rehabilitative or skilled nursing facilities (-5.2 pp; 95% CI, -5.7 to -4.6). Higher rates of home health and home hospice among those discharged home offset half of the decline in facility use. Results were unchanged in the life-limiting conditions sample. MA enrollment was associated with lower rates of potentially burdensome and facility-based care near the EOL. Greater use of home-based care may improve quality of care but may also leave patients without adequate assistance after hospitalization.

Natural Language Processing to Identify Home Health Care Patients at Risk for Becoming Incapacitated With No Evident Advance Directives or Surrogates

ObjectivesHome health care patients who are at risk for becoming Incapacitated with No Evident Advance Directives or Surrogates (INEADS) may benefit from timely intervention to assist them with advance care planning. This study aimed to develop natural language processing algorithms for identifying home care patients who do not have advance directives, family members, or close social contacts who can serve as surrogate decision-makers in the event that they lose decisional capacity. DesignCross-sectional study of electronic health records. Setting and ParticipantsPatients receiving post-acute care discharge services from a large home health agency in New York City in 2019 (n = 45,390 enrollment episodes). MethodsWe developed a natural language processing algorithm for identifying information documented in free-text clinical notes (n = 1,429,030 notes) related to 4 categories: evidence of close relationships, evidence of advance directives, evidence suggesting lack of close relationships, and evidence suggesting lack of advance directives. We validated the algorithm against Gold Standard clinician review for 50 patients (n = 314 notes) to calculate precision, recall, and F-score. ResultsAlgorithm performance for identifying text related to the 4 categories was excellent (average F-score = 0.91), with the best results for “evidence of close relationships” (F-score = 0.99) and the worst results for “evidence of advance directives” (F-score = 0.86). The algorithm identified 22% of all clinical notes (313,290 of 1,429,030) as having text related to 1 or more categories. More than 98% of enrollment episodes (48,164 of 49,141) included at least 1 clinical note containing text related to 1 or more categories. Conclusions and ImplicationsThis study establishes the feasibility of creating an automated screening algorithm to aid home health care agencies with identifying patients at risk of becoming INEADS. This screening algorithm can be applied as part of a multipronged approach to facilitate clinician support for advance care planning with patients at risk of becoming INEADS.

Feasibility of a Telemedicine-Based Principal Illness Navigation (PIN) Service for Complex Populations Following Hospital Discharge After Acute Stroke

Background Principal Illness Navigation (PIN) services may play an important role in helping patients through important transitions in care following acute hospitalization. We evaluated a novel PIN telemedicine approach to understand the feasibility of providing these services to diverse patient cohorts. Methods A single-arm, retrospective observational study of Kandu Health’s post-acute PIN service was conducted in patients experiencing ischemic or hemorrhagic stroke in California and New Jersey. The technology-enabled program offered remote healthcare support led by occupational therapists and licensed clinical social workers that was tailored to individual patient needs to facilitate transition to community settings post-discharge. Barriers to recovery were addressed through patient education, one-on-one guidance, and specialized referrals. Patient outcomes were assessed through in-app assessments and clinician-assessed modified Rankin Scores conducted via video consultation. Readmissions were monitored through both patient reporting and admission/discharge/transfer feeds from health information exchanges. Results A total of 111 patients were enrolled between June 22, 2022 and January 11, 2024. Patients were onboarded an average of 29 ± 40 days (median 18, IQR 8-32) after acute care hospital discharge and spent an average of 81 ± 21 days (median 90, IQR 75-90) in the program. During that time, the average enrollee spent 333 ± 156 minutes (median 350, IQR 205-435) of 1:1 time interacting with their dedicated navigator, and navigators spent an additional 113 ± 87 minutes (median 95, IQR 61-140) per patient on care coordination and curriculum curation. Patients with 5 or more social determinants of health (SDOH) needs required over 50% more navigator time than those without any SDOH needs. Within 6 weeks of hospital discharge, 8.5% experienced an inpatient hospital all-cause readmission that was not associated with race, ethnicity, or SDOH. Conclusions High rates of enrollment and extensive patient engagement in both navigator-facilitated and self-directed program elements can be achieved using the Kandu program. Our findings indicate that telemedicine facilitated, app-supported PIN is feasible to deliver following acute stroke discharge across diverse ages, races, ethnicities, functional status (mRS), and social needs.

Transition of care from post-acute services for the older adults in Quebec: a pilot impact evaluation

BackgroundEarly discharge of frail older adults from post-acute care service may result in individuals’ reduced functional ability to carry out activities of daily living, and social, emotional, and psychological distress. To address these shortcomings, the Montreal West Island Integrated University Health and Social Services Centre in Quebec, Canada piloted a post-acute home physiotherapy program (PAHP) to facilitate the transition of older adults from the hospital to their home. This study aimed to evaluate: (1) the implementation fidelity of the PAHP program; (2) its impact on the functional independence, physical and mental health outcomes and quality of life of older adults who underwent this program (3) its potential adverse events, and (4) to identify the physical, psychological, and mental health care needs of older adults following their discharge at home.MethodsA quasi-experimental uncontrolled design with repeated measures was conducted between April 1st, 2021 and December 31st, 2021. Implementation fidelity was assessed using three process indicators: delay between referral to and receipt of the PAHP program, frequency of PAHP interventions per week and program duration in weeks. A battery of functional outcome measures, including the Functional Independence Measure (FIM) and the Patient-Reported Outcomes Measurement Information System (PROMIS) Global-10 scale, as well as fall incidence, emergency visits, and hospitalizations were used to assess program impact and adverse events. The Patient’s Global Impression of Change (PGICS) was used to determine changes in participants’ perceptions of their level of improvement/deterioration. In addition, the Camberwell Assessment of Need for the Elderly (CANE) questionnaire was administered to determine the met and unmet needs of older adults.ResultsTwenty-four individuals (aged 60.8 to 94 years) participated in the PAHP program. Implementation fidelity was low in regards with delay between referral and receipt of the program, intensity of interventions, and total program duration. Repeated measures ANOVA revealed significant improvement in FIM scores between admission and discharge from the PAHP program and between admission and the 3-month follow-up. Participants also reported meaningful improvements in PGICS scores. However, no significant differences were observed on the physical or mental health T-scores of the PROMIS Global-10 scale, in adverse events related to the PAHP program, or in the overall unmet needs.ConclusionFindings from an initial sample undergoing a PAHP program suggest that despite a low implementation fidelity of the program, functional independence outcomes and patients’ global impression of change have improved. Results will help develop a stakeholder-driven action plan to improve this program. A future study with a larger sample size is currently being planned to evaluate the overall impact of this program.Clinical trial registrationRetrospectively registered NCT05915156 (22/06/2023).

Rehabilitation after brain tumor resection: A national study of postacute care service use through insurance claims data.

To assess postacute rehabilitation service use and length of stay among a national sample of patients with brain tumors after surgery. A retrospective review was conducted of health care claims data of a national sample of patients via The Optum Clinformatics DataMart. This study included adult individuals (≥18 years of age) who were diagnosed with a brain tumor between 2015 and 2019 and underwent a craniotomy or craniectomy within 180 days of diagnosis. Descriptive statistics were used to characterize patients by tumor type. Multivariate models assessed factors associated with discharge setting and length of stay. Of the 10,275 individuals identified, 69% had malignant tumors. Over two thirds of patients were discharged directly home (with or without home health care) and 9.3% and 9.5% were discharged to acute rehabilitation facilities (inpatient rehabilitation facilities [IRF]) and skilled nursing facilities (SNF/ICF), respectively. About 13.5% were discharged to other settings. The average length of stay during the episode of care was 8.6 (SD = 9.6) days. After adjusting for confounders, individuals with benign brain tumors were more likely to be discharged to either IRF or SNF/ICF than return home after acute care stay, as were those with greater comorbidities, older age, fee-for-service and health maintenance organization insurance. Wealthier patients were less likely to be discharged to a SNF/ICF than home, although income was not a factor affecting discharge to an IRF. Patients with benign tumors, the oldest old (80+), those with more comorbidities as well as Black and Hispanic patients had a longer length of stay during the acute hospitalization. Individuals with brain tumors have deficits amenable to rehabilitation; however, this study finds that service use differs by tumor type and demographic and socioeconomic factors. Further study is needed to identify if there are barriers to access and use of rehabilitation services in this population.

Patterns and predictors of ten-year mortality after discharge from community-based post-acute care for acquired brain injury: A retrospective cohort study (ABI-RESTaRT), Western Australia, 1991–2017

BackgroundSurvivors of acquired brain injury (ABI) are left with long-term disability and an increased risk of mortality years post-injury. ObjectiveTo examine 10-year mortality in adults with ABI after discharge from post-acute care and identify modifiable risk factors to reduce long-term mortality risk. MethodsRetrospective cohort study of 586 adults with traumatic (TBI) or non-traumatic brain injury (NTBI), or neurologic condition, consecutively discharged from a post-acute rehabilitation service in Western Australia from 1-Mar-1991 to 31-Dec-2017. Data sources included rehabilitation records, and linked mortality, hospital, and emergency department data. Survival status at 10 years post-discharge was determined. All-cause and cause-specific age- and sex-adjusted standardised mortality ratios (SMR) by ABI diagnosis were calculated using Australian population reference data. Risk factors were examined using multilevel cox proportional hazards regression. ResultsCompared with the Australian population, 10-year all-cause mortality was significantly elevated for all diagnosis cohorts, with the first 12 months the highest risk period. Accidents or intentional self-harm deaths were elevated in TBI (13.2, 95%CI 5.4; 12.1). Neurodegenerative disease deaths were elevated in Neurologic (21.9, 95%CI 13.0; 30.9) and Stroke (19.8; 95%CI 2.4; 27.2) cohorts. Stroke (20.8; 95%CI 7.9; 33.8) and circulatory disease deaths (6.2; 95%CI 2.3; 9.9) were also elevated in Stroke. Psychiatric comorbidity was the strongest risk factor followed by older age, geographical remoteness, and cardiac, vascular, genitourinary and renal comorbidity. Clinically significant improvement in functional independence and psychosocial functioning significantly reduced mortality risk. ConclusionsIndividuals with ABI have an elevated risk of mortality years post-injury. Comorbidity management, continuity of care, and rehabilitation are important to reduce long-term mortality risk.

Abstract WP105: Outcomes From the 1st 100 Stroke Survivors Served by a Novel Tech-Enabled Post-Acute Clinical Service

Introduction: This study evaluates the outcomes of a survivor-centric, navigator-driven, technology-enabled platform supporting survivors (SS) and care partners(CP) in post-stroke recovery. At current enrollment rates, the abstract will be updated to include 100 program participants and a propensity-matched analysis of readmission rates vs. a Medicare FFS claims set for appropriately matched subjects. Methods: An app-based, virtual care model was used to impact survivor quality of life and improve outcomes for stroke survivors. This mixed methods study utilizes focus group feedback, survey, app usage and patient-reported outcomes data. Participants (n=50) were facilitated by a clinical navigator (OT or LCSW). Clinicians worked through phone, messaging, and video calls with the SS/CP who had shared access within the app, with separate profiles. The average duration of participation was 12 weeks but tailored to individual needs based on post-stroke impairments, social determinants, health literacy, risk factors and lifestyle management, mental health, and other resource needs. The average participant had 10 Navigator touchpoints totaling 8 hours over the duration of the program. Results: Clinician-assessed mRS scores were captured at 90 days following hospital discharge for 96% of participants. Significant functional improvement was seen, with 84% achieving mRS scores of 0-2 at 90 days, compared to 60% of participants at the time of enrollment. The 30- and 90-day all-cause readmission rates for survivors were 5% and 10%, respectively, superior to recent publications reporting 30-day unplanned readmission rates after stroke ranging from 8.7%-12.5%, and 90-day readmissions ranging from 18.9% to 20.7%. Conclusion: These preliminary outcomes indicate that a tech-enabled healthcare services program can engage and impact the outcomes of individuals and care partners during stroke recovery.

Abstract WP52: Evaluation of Post Stroke Telehealth Services in Texas (Vast-1)

Background: Shortly after AHA/ASA released an updated policy on stroke care systems, COVID-19 disrupted these systems. Lockdowns and social distancing were considered critical to mitigate COVID-19 transmission but altered public perceptions about stroke medical care. As a result, telehealth expanded rapidly across Texas. However, little is known how to optimally integrate telehealth services into the continuum of stroke care. Methods: To identify barriers and facilitators of post-acute stroke telehealth services among stroke survivors’ facilities of the Lone Star Stroke Consortium (LSSC) Research Consortium, we conducted semi-structured interviews with stroke providers and focus groups with patients. Audiotapes were transcribed, and files prepared for analysis. Using a grounded theory approach, we performed data analysis to allow theory to emerge from data. Two independent reviewers read transcripts, developed coding using an iterative consensus building, verified codes, developed concepts, and created categories. Constant comparison process found emerging themes within each category. Results: We enrolled 23 providers and 34 patients. Access, telemedicine encounter and technology were revealed as major categories of post-acute stroke telehealth among providers and patients. Facilitators of access included increased accessibility and elimination of barriers. Reliable internet connection and technological skills were barriers for both groups. Patients and providers identified virtual visits as good. However, full medical exam, including cognitive evaluation, was a barrier for patients and providers. Technology increased ability to communicate with patients and providers. Barriers included constrains of internet services, lack of documentation for virtual visits, and lack of telemedicine platform. Conclusion: Our study will contribute to future telehealth services integration into continuum of stroke care.

Abstract WP59: Impact of Advanced Practice Nursing in Comprehensive Stroke Care

Background and Issue: Delivering efficient comprehensive stroke care can be challenging as there are various interdisciplinary team members and factors impacting the outcome of each stroke patient. The issue identified was the lack of advanced practice nursing (APN) on the stroke team. A disease specific nurse case manager (NCM) begins the discharge process at the time of admission and proactively identifies the multiple barriers to discharge. These barriers may include payer and/or placement issues, availability of post acute services, medication costs, post discharge support, social determinants, and daily communication with internal and external entities. The role of the stroke nurse practitioner (NP) includes direct patient care, research, education of patient, family and staff and ensuring that accurate documentation is captured on every patient, including stroke metrics. Purpose: To incorporate APN into the comprehensive stroke team aimed at consistently delivering quality care to every stroke patient. We accomplished this by adding a dedicated disease specific NCM and stroke NP to champion the optimal utilization of resources with the end result of efficient patient throughput. Methods: This quality improvement initiative was to compare length of stay (LOS) and case mix index (CMI) data from 2014 to 2023 for ischemic stroke patients that includes four years prior to the addition of APNs in comparison to five years post addition. Results: Prior to the addition of disease specific NCM and stroke NP to the stroke team, the average LOS for an ischemic stroke patient was 5.39 days and CMI was 2.0. Each year after the addition, LOS declined by 44% and CMI increased by 24%. Conclusion: The combination of a disease specific NCM and stroke NP working in tandem on the stroke team enhanced stroke care at many different levels resulting in benefits to the patient and provided a positive financial impact to the institution. The results demonstrate the value of APNs in comprehensive stroke care.

Heart failure management at home: a non-randomised prospective case–controlled trial (HeMan at Home)

Background/objectivesHeart failure (HF) is a growing clinical and economic burden for patients and health systems. The COVID-19 pandemic has led to avoidance and delay in care, resulting in increased morbidity...

Effects of a Rehabilitation-at-Home Program Compared to Post-acute Skilled Nursing Facility Care on Safety, Readmission, and Community Dwelling Status: A Matched Cohort Analysis.

To evaluate the effectiveness and safety of Rehabilitation-at-Home (RaH), which provides high-frequency, multidisciplinary post-acute rehabilitative services in patients' homes. Comparative effectiveness analysis. Medicare Fee-For-Service patients who received RaH in a Center for Medicare and Medicaid Innovation Center Demonstration during 2016-2017 (N=173) or who received Medicare Skilled Nursing Facility (SNF) care in 2016-2017 within the same geographic service area with similar inclusion and exclusion criteria (N=5535). We propensity-matched RaH participants to a cohort of SNF patients using clinical and demographic characteristics with exact match on surgical and non-surgical hospitalizations. Outcomes included hospitalization within 30 days of post-acute admission, death within 30 days of post-acute discharge, length of stay, falls, use of antipsychotic medication, and discharge to community. The majority of RaH participants were older than or equal to 85 years (57.8%) and non-Hispanic white (72.2%) with mean hospital length of stay of 8.1 (SD 7.6) days. In propensity-matched analyses, 10.1% (95% CI: 0.5%, 19.8) and 4.2% (95% CI: 0.1%, 8.5%) fewer RaH participants experienced hospital readmission and death, respectively. RaH participants had, on average, 2.8 fewer days (95% CI 1.4, 4.3) of post-acute care; 11.4% (95% CI: 5.2%, 17.7%) fewer RaH participants experienced fall; and 25.8% (95% CI: 17.8%, 33.9%) more were discharged to the community. Use of antipsychotic medications was no different. RaH is a promising alternative to delivering SNF-level post-acute RaH. The program seems to be safe, readmissions are lower, and transition back to the community is improved.

The Relationship between Post-COVID Syndrome and the Burden of Comorbidities Assessed Using the Charlson Comorbidity Index.

Introduction: The post-COVID-19 syndrome is a clinical entity characterized by the manifestation of signs and symptoms that develop after the acute phase of COVID-19, which persist for a duration of more than 12 weeks and are not explained by any alternative diagnosis. It has been observed that individuals with pre-existing chronic diseases, including cardiovascular and pulmonary diseases, are at a greater risk of developing post-COVID-19 syndrome. The Charlson Comorbidity Index (CCI) is a useful tool employed to evaluate the burden of comorbidities and predict the prognosis of patients with post-COVID-19 syndrome. The present study aims to assess whether the burden of comorbidities, evaluated using the CCI, correlates with post-COVID-19 syndrome. Materials and Methods: Between 21 April 2020 and 15 May 2023, we enrolled all consecutive outpatients with previous COVID-19 admissions to a post-acute day-hospital service three months after a negative SARS-CoV-2 molecular test. We assessed age, sex, BMI, acute COVID-19 and post-COVID-19 signs, and symptoms and calculated CCI according to its current definition. Post-COVID-19 syndrome was defined as the persistence of at least one sign or symptom lasting more than 12 weeks after COVID-19 resolution and not explained by an alternative diagnosis. The relationship between post-COVID-19 and CCI was explored first with the chi-squared test, then with different binary logistic regression models. We considered significant values of p lower than 0.05. Results: We obtained a cohort of 3636 patients and observed a significant association between the number of post-COVID-19 symptoms and CCI. Patients developing post-COVID-19 were more commonly affected by a greater burden of comorbidities. Patients with at least one CCI point had an increased risk of post-COVID-19 syndrome (OR:2.961; 95%CI: 2.269-3.863; p < 0.0001), which increased further for CCI ≥ 4 (OR:6.062; 95%CI: 3.163-11.618; p < 0.0001). Conclusions: Patients affected by post-COVID-19 show a greater clinical complexity and a larger burden of comorbidities, synthesized by a higher CCI; moreover, a higher CCI seems to correlate with an increasing post-COVID-19 risk, being the presence of ≥1 or ≥4 CCI points associated with a 3-fold and 6-fold increased risk of post-COVID-19 syndrome, respectively.

Postacute Care Services Use and Outcomes Among Traditional Medicare and Medicare Advantage Beneficiaries

Better evidence is needed on whether Medicare Advantage (MA) plans can control the use of postacute care services while achieving excellent outcomes. To compare self-reported use of postacute care services and outcomes among traditional Medicare (TM) beneficiaries and MA enrollees. This cohort study used data from the National Health and Aging Trends Study (NHATS) with linked Medicare enrollment data from 2015 to 2017. Participants were community-dwelling MA or TM beneficiaries 70 years and older; those with dual Medicare and Medicaid eligibility were also identified. Analyses were conducted from May 2022 to February 2023 and were weighted to account for the complex survey design. Enrollment in MA and dual eligibility for Medicare and Medicaid. Postacute care service use including site of use, duration, primary indication, and whether participants met their goals or experienced improved functional status during or after services. Included in the analysis were 2357 Medicare beneficiaries who used postacute care. Of these beneficiaries, 815 (32.6%; 62.0% were females [weighted percentages]) had MA and 1542 (67.4%; 59.5% were females [weighted percentages]) had TM. Enrollees in MA reported using postacute care services across all NHATS survey rounds: between 16.2% (95% CI, 14.3%-18.4%) and 17.7% (95% CI, 15.4%-20.4%) of MA enrollees reported using postacute care services each round, vs 22.4% (95% CI, 20.9%-24.1%) to 24.1% (95% CI, 21.8%-26.6%) of TM beneficiaries (P for all rounds <.002). Enrollees in MA reported less functional improvement during postacute care use (63.1% [95% CI, 59.2%-66.8%] vs 71.7% [95% CI, 68.9%-74.3%], P < .001). Among beneficiaries who ended postacute service use, fewer MA enrollees than TM enrollees reported that they met their goals (70.5% [95% CI, 65.1%-75.3%] vs 76.2% [95% CI, 73.1%-79.1%]; P = .053) or had improved functional status (43.9% [95% CI, 38.9%-49.1%] vs 46.0% [95% CI, 42.5%-49.5%]; P = .42), but differences were not statistically significant. Differences in postacute care use and functional improvement were not statistically significant between MA and TM enrollees with dual eligibility. In this cohort study of Medicare beneficiaries, we found that MA enrollees overall used less postacute care services than their TM counterparts. Among users of postacute care services, MA enrollees reported less favorable outcomes compared with TM enrollees. These findings highlight the importance of assessing patient-reported outcomes, especially as MA and other payment models seek to reduce inefficient use of postacute care services.

Alzheimer's Disease Services, Staffing, and Outcomes in Adult Day Health Centers.

Increasing rates of Alzheimer disease and related dementia (ADRD) has resulted in greater reliance on adult day health centers (ADHCs) and their skilled workforce. Little is known about staffing in ADHCs that provide ADRD services compared with ADHCs that do not. This study examines whether there are differences in staffing between ADHCs that offer ADRD services versus those that do not, and whether the percentage of ADHC participants with ADRD is associated with staffing levels. It also examines whether staffing levels and provision of ADRD services are associated with participant outcomes. Cross-sectional analysis of secondary survey data. We used facility-level data from the 2014 National Post-acute and Long-term Care Study Adult Day Services Center module. This survey is completed by administrators of ADHCs, who provide information about their ADHC's organization, services, participants, sources of payment, staffing, and participant outcomes. Bivariate comparisons and multivariate regressions were used to compare scope of services, staffing, and participant outcomes for ADHCs that offered ADRD programs compared with those that did not. ADHCs with ADRD programs had similar average daily attendance, less revenue from Medicaid and self-payment, and greater proportions of Black and female participants. ADHCs with ADRD programs had similar staff hours per participant day for all staff categories; licensed nurse staffing increased and social worker staffing decreased with the proportion of participants with ADRD. Staffing had significant associations with participant outcomes. ADHCs that have more participants with ADRD have greater staffing of licensed nurses but fewer social workers. Participant outcomes are associated with staffing, but the results suggest that there are unmeasured dimensions of participant risk that confound the relationship.

Use of First-Line Oral Analgesics during and after COVID-19: Results from a Survey on a Sample of Italian 696 COVID-19 Survivors with Post-Acute Symptoms.

Background-Analgesics could be used to manage painful symptoms during and after COVID-19. Materials and methods-Persistence of painful symptoms was assessed during and after COVID-19 in a sample of patients admitted to a post-acute COVID-19 outpatient service in Rome, Italy. Data on type and frequency of use of first-line analgesics were collected. Pain severity was evaluated with a numeric rating scale (NRS) from 0 to 10. Results-Mean age of 696 participants was 57.1 ± 20.3 years and 61.7% were women. During COVID-19, the most prevalent symptoms were fever, fatigue, arthralgia, myalgia and headache. Acetaminophen was used by 40% of the sample. Only 6.7% needed to continue analgesic therapy after COVID-19. Frequent causes of analgesics consumption were persistent arthralgia and myalgia. The most common analgesics used amongst those who continued taking analgesics in the post-acute phase of COVID-19 were the following: acetaminophen (31%), ibuprofen (31%) and other non-steroidal anti-inflammatory drug (NSAID) (29.5%); in older subjects the most common analgesic used was acetaminophen (54%). Most of the subjects in this group said there was an improvement in pain perception after taking analgesic therapy (84%). Conclusions-Use of analgesics in the post-acute COVID-19 is common in subjects with persistent arthralgia and myalgia, and common analgesics were acetaminophen and ibuprofen. Further research on the safety and efficacy of those medications in COVID-19 is warranted.

Optimising the quality of clinical data in an Australian aged care and disability service to improve care delivery and clinical outcomes (OPTIMISE): Protocol for an Agile Lean Six Sigma study.

In Australia, aged care and disability service providers are legally required to maintain comprehensive and accurate clinical documentation to meet regulatory and funding requirements and to support safe and high quality care provision. However, evidence suggests poor quality clinical data and documentation is widespread across the sector and can significantly affect clinical decision-making and care delivery and increase business costs. The OPTIMISE study uses an Agile Lean Six Sigma framework to: 1) identify opportunities for optimisation of clinical documentation processes and clinical information systems, 2) implement and test optimisation solutions, and 3) evaluate outcomes post-optimisation, in a large post-acute community-based health service providing aged care and disability services in Western Australia. A three-stage prospective optimisation study will be undertaken. Stage 1 (Baseline) will measure existing clinical data quality, identify root causes of data quality issues across services, and generate optimisation solutions. Stage 2 (Optimisation) will implement and test changes to clinical documentation processes and information systems using incremental Agile sprints, and Stage 3 (Evaluation) will evaluate change in primary and secondary outcomes from baseline to 12 months post-optimisation. The primary outcome is data quality measured in terms of Defects Per Unit (DPU), Defects Per Million Opportunities (DPMO) and Sigma level. Secondary outcomes are care delivery (direct care time), clinical incidents, business outcomes (cost of quality, workforce productivity), and user satisfaction. Case studies will be analysed to understand impacts of optimisation on clinical outcomes and business processes. As of 1 June 2022, Stage 1 commenced with baseline data quality audits conducted to measure current data quality. Baseline data quality audits will be followed by user consultations to identify root causes of data quality issues. Optimisation solutions will be developed by January 2023 to inform optimisation (Stage 2) and evaluation (Stage 3). Study findings will be of interest to individuals and organisations in the healthcare sector seeking novel solutions to improve the quality of clinical data and support high quality care delivery and reduce business costs. N/A.

Inadequate Physical Activity Is Associated with Worse Physical Function in a Sample of COVID-19 Survivors with Post-Acute Symptoms.

Background-Patients affected by Long COVID often report shorter times spent doing physical activity (PA) after COVID-19. The aim of the present study was to evaluate potential associations between PA levels and parameters of physical function in a cohort of COVID-19 survivors with post-acute symptoms, with a particular focus on individuals aged 65 and older. Materials and methods-PA levels before and after COVID-19 were assessed in a sample of patients that had recovered from COVID-19 and were admitted to a post-acute outpatient service at the Fondazione Policlinico Universitario Agostino Gemelli IRCCS (Rome, Italy). Participation in PA was operationalized as the engagement in leisure-time PA for at least 150 min per week in the last 3 months. Self-rated health and measures of physical performance and muscle strength were assessed. Results-Mean age of 1846 participants was 55.2 ± 14.4 years and 47% were women. Before COVID-19, inactivity was detected in 47% of the whole study population; only 28% maintained pre-COVID-19 PA engagement. Inactivity was more frequent in women. The stopping of physical activity was associated with increased BMI and CRP levels, lower vitamin D levels and a higher prevalence of post-COVID-19 fatigue, dyspnea, arthralgia, and myalgia. Active participants had higher handgrip strength and performed better on both the six-minute walking test (6MWT) and at the one-minute sit-to-stand test (1MSTST). In particular, at the 6MWT, participants 65 and older that were still active after COVID-19 walked 32 m more than sedentary peers. Moreover, the distance covered was 28 m more than those who were active only before COVID-19 (p = 0.05). Formerly active subjects performed similarly at the 6MWT to inactive participants. PA was associated with better self-rated health. Conclusions-Our findings reveal that inactivity is frequent in the post-acute COVID-19 phase. Stopping physical activity after COVID-19 results in measures of performance that are comparable to those who were never active. Relevant differences in the distance covered at the 6MWT were found between older active subjects and their sedentary peers.

Development and Evaluation of Rehabilitation Service Areas for the United States

BackgroundGeographic 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.MethodsA 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.ResultsThe 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.ConclusionsRehabilitation 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.