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Objective The aims of this study were to identify disability subgroups among patients hospitalized for ischemic stroke and to determine the predictors and distal outcomes for the disability subgroups. Methods A retrospective, cross-sectional study design was used. Data on patients after ischemic stroke were collected from the electronic health records at 5 hospitals within a single health system. Covariates included social and demographic factors. Disability was characterized according to the Activity Measure for Post-Acute Care assessment. Distal outcomes were physical therapist treatment use, occupational therapist treatment use, and discharge disposition. Latent class analysis was used to identify disability subgroups of patients hospitalized for ischemic stroke. Results A total of 1549 patients were included in the analyses. Five disability subgroups were identified and labeled as follows: globally impaired (subgroup 1), impaired dynamic balance (subgroup 2), impaired self-care (subgroup 3), impaired mobility (subgroup 4), and independent (subgroup 5). Physical therapist treatment use (χ24 = 113.21 [P Conclusion Five disability subgroups were identified for patients after ischemic stroke. The disability subgroups provide a common language for clinicians to organize the heterogeneity of disability after stroke. Impact Using the disability subgroups, the multidisciplinary team might be able to improve the accuracy and efficiency of care decisions. The number of current rehabilitation interventions is indeterminable; these subgroups may help to guide clinicians in selecting the most beneficial interventions for patients based on subgroup membership.

Objective To investigate whether indicators of patient need (comorbidity burden, fall risk) predict acute care rehabilitation utilization, and whether this relation varies across patient characteristics (ie, demographic characteristics, insurance type). Design Secondary analysis of electronic health records data. Setting Five acute care hospitals. Participants Adults (N=110,209) admitted to 5 regional hospitals between 2014 and 2018. Interventions Not applicable. Main Outcome Measures Occupational therapy (OT) and physical therapy (PT) utilization. Logistic regression models determined whether indicators of patient need predicted OT and PT utilization. Interactions between indicators of need and both demographic factors (eg, minority status, presence of significant other) and insurance type were included to investigate whether the relation between patient need and therapy access varied across patient characteristics. Results Greater comorbidity burden was associated with a higher likelihood of receiving OT and PT. Relative to those with low fall risk, those with moderate and high fall risk were more likely to receive OT and PT. The relation between fall risk and therapy utilization differed across patient characteristics. Among patients with higher levels of fall risk, those with a significant other were less likely to receive OT and PT; significant other status did not explain therapy utilization among patients with low fall risk. Among those with high fall risk, patients with VA insurance and minority patients were more likely to receive PT than those with private insurance and nonminority patients, respectively. Insurance type and minority status did not appear to explain PT utilization among those with lower fall risk. Conclusions Patients with greater comorbidity burden and fall risk were more likely to receive acute care rehabilitation. However, the relation between fall risk and utilization was moderated by insurance type, having a significant other, and race/ethnicity. Understanding the implications of these utilization patterns requires further research.

Importance: Hospitalized patients who have difficulty performing activities of daily living (ADLs) benefit from occupational therapy services; however, disparities in access to such services are understudied. Objective: To investigate whether need (i.e., limited ADL performance) predicts acute care occupational therapy utilization and whether this relationship differs across sociodemographic factors and insurance type. Design: A secondary analysis of electronic health records data. Logistic regression models were specified to determine whether ADL performance predicted use of occupational therapy treatment. Interactions were included to investigate whether the relationship between ADL performance and occupational therapy utilization varied across sociodemographic factors (e.g., age) and insurance type. Participants: A total of 56,022 adults admitted to five regional hospitals between 2014 and 2018 who received an occupational therapy evaluation. Intervention: None. Outcomes and Measures: Occupational therapy service utilization, Activity Measure for Post-Acute Care “6-Clicks” measure of daily activity. Results: Forty-four percent of the patients evaluated for occupational therapy received treatment. Patients with lower ADL performance were more likely to receive occupational therapy treatment; however, interaction terms indicated that, among patients with low ADL performance, those who were younger, were White and non-Hispanic, had significant others, and had private insurance (vs. public) were more likely to receive treatment. These differences were smaller among patients with greater ADL performance. Conclusions and Relevance: Greater need was positively associated with receiving occupational therapy services, but this relationship was moderated by age, minoritized status, significant other status, and insurance type. The findings provide direction for exploring determinants of disparities in occupational therapy utilization. What This Article Adds: Acute care occupational therapy utilization is driven partly by patient need, but potential disparities in access to beneficial services may exist across sociodemographic characteristics and insurance type. Identifying potential determinants of disparities in acute care occupational therapy utilization is the first step in developing strategies to reduce barriers for those in need.

Objective The purpose of this study was to identify specific and modifiable supported education (SEd) service needs for the veteran population. To do so, we compared veterans participating in SEd services to other veterans on campus with respect to service-related challenges, community reintegration, and academic-related challenges. Identifying independent factors that distinguish veterans receiving SEd services from other veterans on campus may help operationalize interventions that target the unique challenges in this vulnerable population. Method This study used an exploratory cross-sectional design. We used logistic regression on 410 veterans attending college. Models tested whether sociodemographic characteristics (e.g., age), service-related challenges (e.g., combat exposure), academic-related challenges (e.g., academic self-efficacy), and aspects of community reintegration (e.g., employment status) distinguished veterans receiving SEd services (n = 94) from veterans on campus (n = 316). Results Veterans who reported (a) more severe combat exposure, (b) more severe posttraumatic stress disorder (PTSD) symptoms, (c) service-related mild traumatic brain injury (mTBI), (d) lower levels of academic self-efficacy, and (e) no paid employment were more likely to participate in SEd services. Conclusions and implications for practice This study established several factors that distinguished veterans receiving SEd services from veterans on campus. Findings indicate that SEd education services for veterans should: (a) apply principles of trauma-informed care, (b) mitigate the influence of PTSD and/or mTBI upon academic success and community reintegration, (c) promote academic self-efficacy, and (d) integrate principles of supported employment. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Objectives To determine the factors associated with acute hospital discharge to the 3 most common postacute settings following total knee arthroplasty (TKA): inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), and directly back to the community. Design Retrospective cohort study. Setting Acute care hospitals submitting claims to Medicare. Participants National cohort (N=1,189,286) of 100% Medicare Part A data files from 2009-2011. Interventions Not applicable. Main Outcome Measures Observed rates and adjusted odds of discharge to the 3 main postacute settings based on the clinical and facility level variables: amount of comorbidity, bilateral procedures, and facility TKA volume. Results Using IRF discharge as the reference, patients who received a bilateral procedure had lower odds of both SNF and community discharge, patients with more comorbidity had lower odds for community discharge and higher odds for SNF discharge, and patients who received their TKA from hospitals with lower TKA volumes had lower odds of SNF and community discharge. Conclusions Clinical populations within Medicare beneficiaries may systematically vary across the 3 most common discharge settings following TKA. This information may be helpful for a better understanding on which patient or clinical factors influence postacute care settings following TKA. Additional research including functional status, living situation, and social support systems would be beneficial.

Despite recent improvements in sequencing methods, there remains a need for assays that provide high sequencing depth and comprehensive variant detection. Current methods1-4 are limited by the loss of native modifications, short read length, high input requirements, low yield, or long protocols. Here, we describe nanopore Cas9-targeted sequencing (nCATS), an enrichment strategy that uses targeted cleavage of chromosomal DNA with Cas9 to ligate adaptors for nanopore sequencing. We show that nCATS can simultaneously assess haplotype-resolved single-nucleotide variants (SNVs), structural variations (SVs) and CpG methylation. We apply nCATS to four cell lines, a cell-line-derived xenograft, and normal and paired tumor/normal primary human breast tissue. Median sequencing coverage was 675X using a minION flow cell and 34X using the smaller flongle flow cell. nCATS requires only ~3μg of genomic DNA and can target a large number of loci in a single reaction. The method will facilitate the use of long-read sequencing in research and in the clinic., Editorial summary Point mutations, structural variants and DNA methylation at target loci are assessed by nanopore sequencing.

Background While divorce is a social determinant of health among married immigrants in Korea, its association with access to healthcare services is unclear. Given the rapid increase in the number of married immigrants in Korea, research is needed to improve minority groups’ access to healthcare services. Here, we examined healthcare service utilization among married immigrants. Methods We retrieved 11,778 adults from the 2018 Korea National Multicultural Family Survey. We analyzed whether the sex of divorced immigrants is associated with healthcare access using multivariable logistic regression analysis. Further, we analyzed the association between divorce and access to healthcare services among married immigrants using propensity score matching methods. Results There were 691 (5.8%) divorced immigrants in the data set. The married male immigrants had no association between divorce status and healthcare access (adjusted odds ratio [OR] = 1.05, 95% confidence interval [CI] = 0.55–2.03, p = 0.8620). Divorced immigrants were less likely to receive healthcare services than married immigrants (adjusted OR = 1.42, 95% CI = 1.07–1.88). Conclusion Our findings revealed that divorce increases the risk of limited access to healthcare services among married immigrants. Policymakers and healthcare providers should be aware of these potential disparities in this vulnerable minority population.

To investigate whether a direct measure of need for physical therapy (PT), mobility status, was associated with acute care PT utilization and whether this relationship differs across sociodemographic factors and insurance type.In a secondary analysis of electronic health records data, we estimated logistic regression models to determine whether mobility status was associated with acute care PT utilization. Interactions between mobility and both sociodemographic factors (sex, age, significant other, minority status) and insurance type were included to investigate whether the relationship between mobility and PT utilization varied across patient characteristics.Five regional hospitals from 1 health system.A total of 60,459 adults admitted between 2014 and 2018 who received a PT evaluation.None.Received acute care PT; Activity Measure for Post-Acute Care "6-Clicks" measure of mobility.Half of patients who received a PT evaluation received subsequent treatment. Patients with mobility limitations were more likely to receive PT. Interaction terms indicated that among patients with mobility limitations, those who (1) were younger, (2) had significant others, and (3) had private insurance (vs public) were more likely to receive PT. Among patients with greater mobility status, older patients and those without a significant other were more likely to receive PT.The relationship between acute care PT need and utilization differed across sociodemographic factors and insurance type. We offer potential explanations for these findings to guide efforts targeting equitable distribution of beneficial PT services.

OBJECTIVE The aim of the study was to investigate sex differences and the impact of social living situation on individual functional independence measure outcomes after stroke rehabilitation. DESIGN A retrospective observational study using Medicare fee-for-service beneficiaries (N = 125,548) who were discharged from inpatient rehabilitation facilities in 2013 and 2014 after a stroke. Discharge individual functional independence measure score, dichotomized as ≥5 and

The biomedical scientific community is in the midst of a significant expansion in how data are used to accomplish the important goals of reducing disability and improving health care. Data science is the academic discipline emerging from this expansion. Data science reflects a new approach to the acquisition, storage, analysis, and interpretation of scientific knowledge. The potential benefits of data science are transforming biomedical research and will lead physical medicine and rehabilitation in exciting new directions. Understanding this transformation will require modifying and expanding the education, training, and research infrastructure that support rehabilitation science and practice.

From a high throughput screening of commercially available libraries against nontuberculous mycobacteria and Mycobacterium tuberculosis, numerous hits were identified with moderate activity. Extensive medicinal chemistry optimization has led to a series of potent benzothiazole amide antimycobacterial agents. Replacement of the adamantyl group with cyclohexyl derivatives and further development of this series resulted in an advanced lead compound, CRS400393, which demonstrated excellent potency and a mycobacteria-specific spectrum of activity. MIC values ranged from 0.03 to 0.12 μg/mL against Mycobacterium abscessus and other rapid-grower NTM, and 1–2 μg/mL against Mycobacterium avium complex. The preliminary mechanism of action studies suggested these agents may target MmpL3, a mycobacterial mycolic acid transporter. The series has demonstrated in vivo efficacy in a proof of concept mouse model of M. abscessus infection.

BACKGROUND In an effort to improve quality and reduce costs, reimbursement for total knee arthroplasty (TKA) and total hip arthroplasty (THA) in the United States is being based on the value of care provided, with adjustments for some qualifying comorbidities, including diabetes in its most severe form and excluding many diabetes codes. The aims of this study were to examine the effects of diabetes on elective TKA or THA complications and readmission risks among Medicare beneficiaries. METHODS Complication (n = 521,230) and readmission (n = 515,691) data were extracted from Medicare files in 2013 and 2014. Diabetes status (no diabetes, controlled-uncomplicated diabetes, controlled-complicated diabetes, and uncontrolled diabetes) was identified with ICD-9 (International Classification of Diseases, 9th Revision) codes. TKA or THA complications and readmission odds based on diabetes status were estimated using logistic regression and adjusted for sociodemographic and clinical characteristics, including comorbidities. RESULTS Compared with no diabetes, the odds ratio (OR) of TKA complications was significantly higher for uncontrolled diabetes (1.29, 95% confidence interval [CI] = 1.06 to 1.57). The OR of THA complications was significantly higher for controlled-complicated diabetes (1.45, 95% CI = 1.17 to 1.80). The OR of readmission was significantly higher for all diabetes groups (1.21 to 1.48 for TKA, 1.20 to 1.70 for THA). CONCLUSIONS Readmission odds were higher in all diabetes categories. The uncontrolled-diabetes group had the greatest TKA readmission and complication odds. The controlled-complicated diabetes group had the greatest THA readmission and complication odds. The findings suggest that including diabetes and associated systemic complications in cost adjustments in alternative payment models for arthroplasty should be considered. LEVEL OF EVIDENCE Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Background Relying solely on null hypothesis significance testing to investigate rehabilitation interventions may result in researchers erroneously concluding the presence of a treatment effect. Objective We sought to quantify the strength of evidence in favour of rehabilitation treatment effects by calculating Bayes factors (BF10s) for significant findings. Additionally, we sought to examine associations between BF10s, P-values, and Cohen's d effect sizes. Methods We searched the Cochrane Database of Systematic Reviews for meta-analyses with “rehabilitation” as a keyword that evaluated a rehabilitation intervention. We extracted means, standard deviations, and sample sizes for treatment and comparison groups from individual findings within 175 meta-analyses. Investigators independently classified the interventions according to the Rehabilitation Treatment Specification System. We calculated t-statistics, P-values, effect sizes, and BF10s for each finding. We isolated statistically significant findings (P ≤ 0.05); applied evidential categories to BF10s, P-values, and effect sizes; and examined relationships descriptively. Results We analysed 1935 rehabilitation findings. Across intervention types, 25% of significant findings offered only anecdotal evidence in favour of a treatment effect; only 48% indicated strong evidence. This pattern persisted within intervention types and when conducting robustness analyses. Smaller P-values and larger effect sizes were associated with stronger evidence in favour of a treatment effect. However, a notable portion of findings with P-value 0.01 to 0.05 (63%) or a large effect size (18%) offered anecdotal evidence in favour of an effect. Conclusions For a substantial portion of statistically significant rehabilitation findings, the data neither support nor refute the presence of a treatment effect. This was the case among a notable portion of large treatment effects and for most findings with P-value > 0.01. Rehabilitation evidence would be improved by researchers adopting more conservative levels of significance, complementing the use of null hypothesis significance testing with Bayesian techniques and reporting effect sizes.

This protocol is designed to help users achieve targeted enrichment for regions of interest using nanopore sequencing, providing higher coverage for myriad future analysis applications. GuideRNA components (crRNA and tracrRNA) were designed using online tools provided by IDT.

OBJECTIVE We examined the association between home health rehabilitation referral and 90-day risk-adjusted hospital readmission after discharge from inpatient rehabilitation facilities among adult patients recovering from stroke (N = 1219). DESIGN A secondary data analysis of the 2005-2006 Stroke Recovery in Underserved Population database. A logistic regression model, multilevel model, and the propensity score inverse probability weighting model were used to evaluate the risk of 90-day rehospitalization between patients with stroke who received a referral for home health rehabilitation and those who did not receive a home health rehabilitation referral at inpatient rehabilitation facility discharge. RESULTS The regression, multilevel, and propensity score inverse probability weighting models indicated that inpatient rehabilitation facility patients with stroke who received home health rehabilitation referral had substantially lower odds of 90-day rehospitalization after inpatient rehabilitation facility discharge compared with those who were not referred to home health (odds ratio = 0.325, 95% confidence interval = 0.138-0.764; odds ratio = 0.340, 95% confidence interval = 0.139-0.832; odds ratio = 0.407, 95% confidence interval = 0.183-0.906, respectively). CONCLUSIONS Our findings suggest the importance of continuation of care (home health) after hospitalization and intense inpatient rehabilitation for stroke. Additional research is needed to establish appropriate use criteria and explore potential underuse of home health services as well as the benefits for follow-up outpatient services for those who do not qualify for home health at inpatient rehabilitation facility discharge.

This cohort study examines the differences between 2 Centers for Medicare & Medicaid Services measures for 30-day rehospitalization after discharge from postacute inpatient rehabilitation., Key Points Question Can Centers for Medicare & Medicaid Services Quality Reporting Program measures detect variation in 30-day hospital readmission rates after postacute inpatient rehabilitation among US inpatient rehabilitation facilities (IRFs)? Findings In this cohort study of 454 378 Medicare fee-for-service beneficiaries discharged from 1162 IRFs submitting claims, risk-standardized potentially preventable readmission rates ranged from 4.3% to 7.3%. Application of the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation resulted in risk-standardized readmission rates above or below the national mean for less than 1% of 1162 Medicare-eligible IRFs. Meaning These findings suggest that the current readmission measure does not distinguish high- and low-performing facilities, and therefore it should not be implemented as part of the IRF quality reporting program., Importance The Improving Medicare Post-Acute Care Transformation Act of 2014 mandated a quality measure of potentially preventable 30-day hospital readmission for inpatient rehabilitation facilities (IRFs). Examining IRF performance nationally may help inform health care quality initiatives for Medicare beneficiaries. Objective To examine variation in Centers for Medicare & Medicaid Services Quality Reporting Program measures for US facility-level risk-adjusted all-cause and potentially preventable hospital readmission rates after inpatient rehabilitation. Design, Setting, and Participants This cohort study of Medicare claims data included 454 378 Medicare beneficiaries discharged from 1162 IRFs between June 1, 2013, and July 1, 2015. Data were analyzed March 23, 2018, through June 24, 2019. Main Outcomes and Measures All-Cause Unplanned Readmission Measure for 30 Days Post Discharge From Inpatient Rehabilitation Facilities and the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation. Specifications from the Centers for Medicare & Medicaid Services were followed to identify the cohort, define outcomes, and calculate risk-standardized facility-level rates. Results Among a cohort of 454 378 patients, the mean (SD) age was 76.2 (10.6) years and 263 546 (58.0%) were women. The all-cause readmission rate was 12.3% (95% CI, 12.2%-12.4%), and the potentially preventable readmission rate was 5.3% (95% CI, 5.3%-5.4%). Across 1162 included IRFs, risk-standardized all-cause readmission rates ranged from 10.1% (95% CI, 8.9%-11.6%) to 15.9% (95% CI, 13.6-18.6%) and potentially preventable readmission rates ranged from 4.3% (95% CI, 3.7%-5.4%) to 7.3% (95% CI, 5.7%-8.3%). Using the All-Cause Unplanned Readmission Measure for 30 Days Post Discharge From Inpatient Rehabilitation Facilities, 16 IRFs (1.4%) had 95% CIs above the national mean rate, 1137 IRFs (97.9%) had 95% CIs containing the national mean rate, and 9 IRFs (0.8%) had 95% CIs below the national mean rate. Using the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation, 8 IRFs (0.7%) had 95% CIs above the national mean rate, 1153 IRFs (99.2%) had 95% CIs containing the national mean rate, and 1 IRF (0.1%) had a 95% CI below the national mean rate. Conclusions and Relevance This cohort study found that readmission rates were lower when using the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation and further reduced discrimination between facilities compared with the recently discontinued All-Cause Unplanned Readmission Measure for 30 Days Post Discharge From Inpatient Rehabilitation Facilities. This finding may indicate there is a lack of room for improvement in readmission rates. Given the rationale of the Centers for Medicare & Medicaid Services for removing measures that fail to discriminate quality performance, this suggests that the current readmission measure should not be implemented as part of the Inpatient Rehabilitation Quality Reporting Program.

Double-stranded DNA can rapidly and specifically be identified using dCas9 barcodes that can be read using solid-state nanopore sensors. We have previously shown that multiple highly specific dCas9 probes bound to the same dsDNA strand create distinct double and triple peak barcodes in the ionic current signature as it translocates through a nanopore. The design of these barcodes relies on the identification of distinct peak patterns in the signals caused by neighbouring bound dCas9 probes. Here, we demonstrate the design of multiple pairs of dCas9 probes that create clear double peak barcodes on lambda and T7 DNA. We investigate how closely together dCas9 probes can be bound on dsDNA while still creating resolvable peak signatures measured using glass nanopores. We further explore how varying the spacing (from approximately 200-900 bp) between the dCas9 probes affects the average time between consecutive peaks in the ionic current traces for a given measurement. Our results lay the foundation for future unique barcode designs that form the basis of a fast and versatile assay for multiplexed DNA sensing and identification applications in complex samples.

Background As defined by Medicare (United States), post-acute rehabilitation services include care provided in inpatient rehabilitation units and facilities, skilled nursing facilities, long-term acute hospitals, and by home health services. Methods We retrospectively evaluated the use of rehabilitation-based post-acute services among Medicare beneficiaries who were hospitalized for lumbar spinal fusion (ICD-9-CM procedure codes 81.04–81.08) in 2012–2014, examined the case-mix for those discharged to rehabilitation- and non-rehabilitation based services, and determined the association between these categories of discharge disposition and 30-day rehospitalization. The independent effect of rehabilitation-based discharge destination on 30-day readmissions was examined with a generalized linear mixed model, first adjusting for patient characteristics and then stratified by clusters that delineated more homogenous clinical profiles. Results Among 261,558 Medicare beneficiaries with lumbar spinal fusion surgery, 50.8% were discharged to a rehabilitation-based post-acute services. Patients discharged to rehabilitation-based services were older and had more comorbidities, and had longer hospital lengths of stays. After adjusting for patient and hospital characteristics, patients discharged to rehabilitation-based post-acute care had increased odds of 30-day rehospitalization than those without discharge to other destinations (OR 1.36; 95%CI = 1.31, 1.40). Analysis of patients by clinical profile clusters found similar results. Conclusions Clinical profiles of Medicare beneficiaries who had lumbar spinal fusion surgery and were discharged to rehabilitation-based post-acute services included more comorbidities than those discharged to non-rehabilitation based settings. Controlling for these differences did not mediate the negative association between use of rehabilitation-based post-acute services and 30-day readmission.

To determine if positive emotion modifies the relationship between cognitive impairment and activities of daily living disability status over 10 years in Mexican American adults aged 75 years and older.A retrospective cohort design using data from the Hispanic established populations for the epidemiologic studies of the elderly. About 2674 participants aged 75 years and older were included and followed over 10 years. Cognition was measured using the mini-mental state examination, positive emotion was measured using four questions from the Center for Epidemiologic Studies Depression Scale, and disability was measured using seven activities of daily living items. A series of generalized estimating equations models were used, with the initial analysis including those with disability at baseline and subsequent analyses excluding disability at baseline.Positive emotion and cognitive impairment consistently decreased and increased risk for activities of daily living disability, respectively. Positive emotion was a significant modifier in the cross-sectional analysis, and was not a statistically significant modifier in the longitudinal or predictive series analysis.Positive emotion and cognitive impairment differentially affect the risk of developing activities of daily living disability. Further research is needed to explore the interaction of positive emotion and cognitive impairment, and to identify appropriate interventions that address the specific cognitive and emotional needs of older Mexican Americans. Implications for rehabilitation Promoting emotional well-being may be protective against incident disability for older adults. Cognitive impairment significantly predicts incident disability in activities of daily living and should be considered an early indicator of impending disability for older adults.

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.

Secondary analysis of prospectively collected observational data.To assess the representativeness of the Spinal Cord Injury Model Systems National Database (SCIMS-NDB) of all adults aged 18 years or older receiving inpatient rehabilitation in the United States (US) for new onset traumatic spinal cord injury (TSCI).Inpatient rehabilitation centers in the US.We compared demographic, functional status, and injury characteristics (nine categorical variables comprising of 46 categories and two continuous variables) between the SCIMS-NDB (N = 5969) and UDS-PRO/eRehabData (N = 99,142) cases discharged from inpatient rehabilitation in 2000-2010.There are negligible differences (5%) between SCIMS-NDB patients and the population for 31 of the 48 comparisons. Minor differences (5-10%) exist for age categories, sex, race/ethnicity, marital status, FIM Motor score, and time from injury to rehabilitation admission. Important differences (10%) exist in mean age and preinjury occupational status; the SCIMS-NDB sample was younger and included a higher percentage of individuals who were employed (62.7 vs. 41.7%) and fewer who were retired (10.2 vs. 36.1%).Adults in the SCIMS-NDB are largely representative of the population of adults receiving inpatient rehabilitation for new onset TSCI in the US. However, users of the SCIMS-NDB may need to adjust statistically for differences in age and preinjury occupational status to improve generalizability of findings.

Background Relying solely on null hypothesis significance testing (NHST) to investigate rehabilitation interventions may result in researchers erroneously concluding the absence of a treatment effect. Objective We aimed to distinguish between truly null treatment effects and data that are insensitive to detecting treatment effects by calculating Bayes factors (BF01s) for non-significant findings in the rehabilitation literature. Additionally, to examine associations between BF01, sample size, and observed P-values. Method We searched the Cochrane Database of Systematic Reviews for meta-analyses with “rehabilitation” as a keyword that clearly evaluated a rehabilitation intervention. We extracted means, standard deviations, and sample sizes for treatment and comparison groups for individual findings within 175 meta-analyses. Two independent investigators classified the interventions into 4 categories using the Rehabilitation Treatment Specification System. We calculated t-statistics and associated P-values for each finding in order to extract non-significant results (P > 0.05). We calculated BF01s for 5790 non-significant results and classified BF01s based on the strength of evidence in favour of the null hypothesis (i.e., anecdotal, moderate, and strong) across and within intervention types. We examined correlations between BF01, sample size, and P-values across and within intervention types. Results Across all intervention types, most (71.9%) findings were deemed anecdotal, and this pattern remained within distinct intervention types (58.4–76.0%). Larger sample sizes tended to be associated with greater strength in favour of the null hypothesis, both across and within intervention types. Larger P-values were not associated with greater strength in favour of the null hypothesis; this finding was present both across and within intervention types. Conclusion Our findings indicate that most non-significant rehabilitation findings are unable to distinguish between the true absence of a treatment effect and data that are merely insensitive to detecting a treatment effect. Findings also suggest that rehabilitation researchers may improve the strength of their statistical conclusions by increasing sample size and that Bayes factors may offer unique benefits relative to P-values.

Objective To examine the effects of facility-level acute–postacute continuity on probability of community discharge and 30-day rehospitalization following inpatient rehabilitation. Data Sources We used national Medicare enrollment, claims, and assessment data to study 541,097 patients discharged from 1,156 inpatient rehabilitation facilities (IRFs) in 2010–2011. Study Design We calculated facility-level continuity as the percentages of an IRF's patients admitted from each contributing acute care hospital. Patients were categorized into three groups: low continuity ( 75 percent from same hospital). The multivariable models included an interaction term to examine the potential moderating effects of facility type (freestanding facility vs. hospital-based rehabilitation unit) on the relationships between facility-level continuity and our two outcomes: community discharge and 30-day rehospitalization. Principal Findings Medicare beneficiaries in hospital-based rehabilitation units were more likely to be referred from a high-contributing hospital compared to those in freestanding facilities. However, the association between higher acute–postacute continuity and desirable outcomes is significantly better in freestanding rehabilitation facilities than in hospital-based units. Conclusions Improving continuity is a key premise of health care reform. We found that both observed referral patterns and continuity-related benefits differed markedly by facility type. These findings provide a starting point for health systems establishing or strengthening acute–postacute relationships to improve patient outcomes in this new era of shared accountability and public quality reporting programs.

To describe impairment-specific patterns in shorter- and longer-than-expected lengths of stay in inpatient rehabilitation, and examine the independent effects of social support on deviations from expected lengths of stay.Retrospective cohort study.Inpatient rehabilitation facilities.Medicare fee-for-service beneficiaries (N=119,437) who were discharged from inpatient rehabilitation facilities in 2012 after stroke, lower extremity fracture, or lower extremity joint replacement.Not applicable.Relative length of stay (actual minus expected). The Centers for MedicareMedicaid Services posts annual expected lengths of stay based on patients' clinical profiles at admission. We created a 3-category outcome variable: short, expected, long. Our primary independent variable (social support) also included 3 categories: family/friends, paid/other, none.Mean ± SD actual lengths of stay for joint replacement, fracture, and stroke were 9.8±3.6, 13.8±4.5, and 15.8±7.3 days, respectively; relative lengths of stay were -1.2±3.1, -1.6±3.7, and -1.7±5.2 days. Nearly half of patients (47%-48%) were discharged more than 1 day earlier than expected in all 3 groups, whereas 14% of joint replacement, 15% of fracture, and 20% of stroke patients were discharged more than 1 day later than expected. In multinomial regression analysis, using family/friends as the reference group, paid/other support was associated (P.05) with higher odds of long stays in joint replacement. No social support was associated with lower odds of short stays in all 3 impairment groups and higher odds of long stays in fracture and joint replacement.Inpatient rehabilitation experiences and outcomes can be substantially affected by a patient's level of social support. More research is needed to better understand these relationships and possible unintended consequences in terms of patient access issues and provider-level quality measures.

To link, classify and describe the content of the Multicenter Benchmarking Study Burn Outcomes Questionnaires (BOQ) using the International Classification of Functioning, Disability and Health (ICF) to determine if the information garnered provides researchers with the data necessary to develop a comprehensive understanding of life after burns.Two ICF linking experts used a standardized linking technique endorsed by the World Health Organization to link all BOQ concepts to the ICF. Linking results were analyzed to determine the comprehensiveness of each of the five measures.The activities and participation component was most frequently addressed followed by the body functions component. Environmental factors are not extensively covered and body structures are not addressed. ICF chapter and category distribution were skewed and varied between assessments. The majority of BOQ items are of the health status perspective.BOQ item composition could be improved with a more even distribution of pertinent ICF topics. Assessment authors may consider addressing the impact of environmental factors on participation. Including body structure concepts would allow investigators to track structural deformation and/or developmental delay. Generally speaking, this data should not be used to examine quality of life outcomes.

The National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) Burn Injury Model Systems (BMS) is a nationwide database that uses patient-reported outcome measures to collect data. Though the outcome measures demonstrate good psychometric properties, the question remains whether or not these measures collect data that encompass the entire experience of burn patients over time.Each meaningful concept included in the BMS assessments was linked to the International Classification of Functioning, Disability and Health (ICF) in order to classify and describe the content of each measure. The linking was completed by two experienced coders. The perspective of each assessment was also determined.The body function component was most frequently addressed overall followed by the activities and participation component. The component body structures and environmental factors are not extensively covered in the BMS assessments. ICF chapter and category distribution varied greatly between assessments. The assessments were of the health status perspective.This study suggests a need to revisit the item composition of the BMS assessments to more evenly distribute ICF topics and subtopics that are pertinent to burn injury which will ensure a broader but more precise understanding of burn injury recovery. Implications for Rehabilitation A better understanding of the data collected through the Burn Model Systems (BMS) project may contribute to improve data collection tools and ultimately lead to clinical practice innovations and improvements. Clinicians interested in using BMS data for research purposes can better understand what topics are included and excluded in the collection and what perspectives are addressed. This study highlights the need for burn clinicians around the world to lend their expertise to the WHO for the development of a much needed burn injury International Classification of Functioning, Disability and Health Core Set.

Objective First, to establish empirically-based effect size interpretation guidelines for rehabilitation treatment effects. Second, to evaluate statistical power in rehabilitation research. Data Sources The Cochrane Database of Systematic Reviews was searched through June 2019. Study Selection Meta-analyses included in the Cochrane Database of Systematic Reviews with “rehabilitation” as a keyword and clearly evaluated a rehabilitation intervention. Data Extraction We extracted Cohen’s d effect sizes and associated sample sizes for treatment and comparison groups. Two independent investigators classified the interventions into 4 categories using the Rehabilitation Treatment Specification System. The 25th, 50th, and 75th percentile values within the effect size distribution were used to establish interpretation guidelines for small, medium, and large effects, respectively. A priori power analyses established sample sizes needed to detect the empirically-based values for small, medium, and large effects. Post-hoc power analyses using median sample sizes revealed whether the “typical” rehabilitation study was sufficiently powered to detect the empirically-based values. Post hoc power analyses established the statistical power of each test based on the sample size and reported effect size. Data Synthesis We analyzed 3381 effect sizes extracted from 99 meta-analyses. Interpretation guidelines for small effects ranged from 0.08 to 0.15; medium effects ranged from 0.19 to 0.36; and large effects ranged from 0.41 to 0.67. We present sample sizes needed to detect these values based on a priori power analyses. Post hoc power analyses revealed that a “typical” rehabilitation study lacks sufficient power to detect the empirically-based values. Post hoc power analyses using reported sample sizes and effects indicated the studies were underpowered, with median power ranging from 0.14 to 0.23. Conclusions This study presented novel and empirically-based interpretation guidelines for small, medium, and large rehabilitation treatment effects. The observed effect size distributions differed across intervention categories, indicating that researchers should use category-specific guidelines. Furthermore, many published rehabilitation studies are underpowered.

This protocol is designed to help users achieve targeted enrichment for regions of interest using nanopore sequencing, providing higher coverage for myriad future analysis applications. GuideRNA components (crRNA and tracrRNA) were designed using online tools provided by IDT.

Mycobacterium smegmatis rarely causes disease in the immunocompetent, but reported cases of soft tissue infection describe abscess formation requiring surgical debridement for resolution. Neutrophils are the first innate immune cells to accumulate at sites of bacterial infection, where reactive oxygen species and proteolytic enzymes are used to kill microbial invaders. As these phagocytic cells play central roles in protection from most bacteria, we assessed human neutrophil phagocytosis and granule exocytosis in response to serum opsonized or non-opsonized M. smegmatis mc2. Although phagocytosis was enhanced by serum opsonization, M. smegmatis did not induce exocytosis of secretory vesicles or azurophilic granules at any time point tested, with or without serum opsonization. At early time points, opsonized M. smegmatis induced significant gelatinase granule exocytosis compared to non-opsonized bacteria. Differences in granule release between opsonized and non-opsonized M. smegmatis decreased in magnitude over the time course examined, with bacteria also evoking specific granule exocytosis by six hours after addition to cultured primary single-donor human neutrophils. Supernatants from neutrophils challenged with opsonized M. smegmatis were able to digest gelatin, suggesting that complement and gelatinase granule exocytosis can contribute to neutrophil-mediated tissue damage seen in these rare soft tissue infections.

Nanopore sequencing technology can rapidly and directly interrogate native DNA molecules. Often we are interested only in interrogating specific areas at high depth, but conventional enrichment methods have thus far proved unsuitable for long reads1. Existing strategies are currently limited by high input DNA requirements, low yield, short (We have demonstrated this using an Oxford Nanopore MinION flow cell (Capacity >10Gb+) to generate a median 165X coverage at 10 genomic loci with a median length of 18kb, representing a several hundred-fold improvement over the 2-3X coverage achieved without enrichment. We performed a pilot run on the smaller Flongle flow cell (Capacity ~1Gb), generating a median coverage of 30X at 11 genomic loci with a median length of 18kb. Using panels of guide RNAs, we show that the high coverage data from this method enables us to (1) profile DNA methylation patterns at cancer driver genes, (2) detect structural variations at known hot spots, and (3) survey for the presence of single nucleotide mutations. Together, this provides a low-cost method that can be applied even in low resource settings to directly examine cellular DNA. This technique has extensive clinical applications for assessing medically relevant genes and has the versatility to be a rapid and comprehensive diagnostic tool. We demonstrate applications of this technique by examining the well-characterized GM12878 cell line as well as three breast cell lines (MCF-10A, MCF-7, MDA-MB-231) with varying tumorigenic potential as a model for cancer.ContributionsTG and WT constructed the study. TG performed the experiments. TG, IL, and FS analyzed the data. TG, JG, ER, RB and AH and developed the method. TG and WT wrote the paper

The biomedical scientific community is in the midst of a significant expansion in how data are used to accomplish the important goals of reducing disability and improving health care. Data science is the academic discipline emerging from this expansion. Data science reflects a new approach to the acquisition, storage, analysis, and interpretation of scientific knowledge. The potential benefits of data science are transforming biomedical research and will lead physical medicine and rehabilitation in exciting new directions. Understanding this transformation will require modifying and expanding the education, training, and research infrastructure that support rehabilitation science and practice.

Key Points Question Do rates of successful community discharge after inpatient rehabilitation vary across US facilities and geographic regions? Findings In this cohort study of 487 862 Medicare fee-for-service beneficiaries discharged from 1154 inpatient rehabilitation facilities submitting claims, risk-standardized rates of successful community discharge ranged from 42.9% to 83.6%. Rates were lowest in the Northeast (Massachusetts, 55.9%; New Hampshire, 57.0%) and highest in the West (Oregon, 70.3%; Hawaii, 73.3%). Meaning The observed facility and geographic variations suggest opportunities for improving this important, patient-centered, and nationally reported quality outcome., This cohort study examines facility-level and geographic variation in rates of successful community discharges after inpatient rehabilitation among fee-for-service Medicare beneficiaries., Importance The Improving Medicare Post–Acute Care Transformation (IMPACT) Act of 2014 mandated a quality measure of successful community discharge for postacute care services. Examining variation in performance nationally can help identify opportunities for improving patient-centered quality of care. Objective To examine US facility-level and geographic variation in rates of successful community discharges after inpatient rehabilitation. Design, Setting, and Participants This retrospective cohort study of Medicare claims data from December 31, 2013, through October 1, 2015, included 1154 inpatient rehabilitation facilities submitting claims to the Centers for Medicare & Medicaid Services and a total of 487 862 Medicare fee-for-service beneficiaries discharged from inpatient rehabilitation facilities. Analyses were performed from December 8, 2017, through September 11, 2018. Main Outcomes and Measures Successful community discharge as defined for the Discharge to Community—Post–Acute Care Inpatient Rehabilitation Facility Quality Reporting Program measure. To be considered a successful community discharge, patients had to discharge from the inpatient rehabilitation facility to the community (ie, home or self-care) and remain there without experiencing an unplanned rehospitalization or dying within the following 31 days. Centers for Medicare & Medicaid Services specifications were followed to identify the cohort, define the outcome, and calculate risk-standardized facility and state rates. Results Among the 487 862 patients included in the cohort, mean (SD) age was 76.4 (10.8) years, and 56.9% were female. The overall rate of successful community discharge after inpatient rehabilitation was 63.7% (95% CI, 63.6%-63.8%). Risk-standardized rates ranged from 42.9% to 83.6% across inpatient rehabilitation facilities. Two hundred sixteen facilities (18.7%) performed significantly better than the mean national rate and 203 (17.6%) performed significantly worse (P

Objective The aim of the study was to examine whether receipt of testosterone replacement therapy was associated with reduced 30-day rehospitalization after postacute care among older men with testosterone deficiency. Design, patients, and methods We conducted a retrospective cohort study using a 5% national sample of Medicare beneficiaries. We identified 1290 nonsurgical inpatient postacute care discharges between January 1, 2007, and October 31, 2014, for male patients, 66 yrs or older, with a previous diagnosis of testosterone deficiency. Multivariable logistic regression was used to calculate odds ratios and 95% confidence intervals for 30-day postacute care rehospitalization related to receipt of testosterone replacement therapy. Results In older men with testosterone deficiency, receipt of testosterone replacement therapy was not associated with rehospitalization (odds ratio = 0.87, 95% confidence interval, 0.59-1.29) in the 30 days after postacute care discharge. These findings persisted after adjustment for quintile of propensity scores (odds ratio = 0.90, 95% confidence interval = 0.62-1.30). Conclusion Testosterone replacement therapy was not associated with reduced rehospitalization after postacute care discharge in older men with testosterone deficiency. Further research in this population should examine the effects of testosterone replacement therapy on functional recovery and community independence.

Expansions of short tandem repeats are genetic variants that have been implicated in neuropsychiatric and other disorders but their assessment remains challenging with current molecular methods. Here, we developed a Cas12a-based enrichment strategy for nanopore sequencing that, combined with a new algorithm for raw signal analysis, enables us to efficiently target, sequence and precisely quantify repeat numbers as well as their DNA methylation status. Taking advantage of these single molecule nanopore signals provides therefore unprecedented opportunities to study pathological repeat expansions.

Expansions of short tandem repeats are genetic variants that have been implicated in several neuropsychiatric and other disorders, but their assessment remains challenging with current polymerase-based methods1-4. Here we introduce a CRISPR-Cas-based enrichment strategy for nanopore sequencing combined with an algorithm for raw signal analysis. Our method, termed STRique for short tandem repeat identification, quantification and evaluation, integrates conventional sequence mapping of nanopore reads with raw signal alignment for the localization of repeat boundaries and a hidden Markov model-based repeat counting mechanism. We demonstrate the precise quantification of repeat numbers in conjunction with the determination of CpG methylation states in the repeat expansion and in adjacent regions at the single-molecule level without amplification. Our method enables the study of previously inaccessible genomic regions and their epigenetic marks.

Background Medicare data from acute hospitals do not contain information on functional status. This lack of information limits the ability to conduct rehabilitation-related health services research. Objective The purpose of this study was to examine the associations between 5 comorbidity indexes derived from acute care claims data and functional status assessed at admission to an inpatient rehabilitation facility (IRF). Comorbidity indexes included tier comorbidity, Functional Comorbidity Index (FCI), Charlson Comorbidity Index, Elixhauser Comorbidity Index, and Hierarchical Condition Category (HCC). Design This was a retrospective cohort study. Methods Medicare beneficiaries with stroke, lower extremity joint replacement, and lower extremity fracture discharged to an IRF in 2011 were studied (N=105,441). Data from the beneficiary summary file, Medicare Provider Analysis and Review (MedPAR) file, and Inpatient Rehabilitation Facility–Patient Assessment Instrument (IRF-PAI) file were linked. Inpatient rehabilitation facility admission functional status was used as a proxy for acute hospital discharge functional status. Separate linear regression models for each impairment group were developed to assess the relationships between the comorbidity indexes and functional status. Base models included age, sex, race/ethnicity, disability, dual eligibility, and length of stay. Subsequent models included individual comorbidity indexes. Values of variance explained (R2) with each comorbidity index were compared. Results Base models explained 7.7% of the variance in motor function ratings for stroke, 3.8% for joint replacement, and 7.3% for fracture. The R2 increased marginally when comorbidity indexes were added to base models for stroke, joint replacement, and fracture: Charlson Comorbidity Index (0.4%, 0.5%, 0.3%), tier comorbidity (0.2%, 0.6%, 0.5%), FCI (0.4%, 1.2%, 1.6%), Elixhauser Comorbidity Index (1.2%, 1.9%, 3.5%), and HCC (2.2%, 2.1%, 2.8%). Limitation Patients from 3 impairment categories were included in the sample. Conclusions The 5 comorbidity indexes contributed little to predicting functional status. The indexes examined were not useful as proxies for functional status in the acute settings studied.

Importance: Occupational therapy practitioners can use therapeutic activity to promote veterans’ well-being, but the mechanisms through which participation promotes well-being are poorly understood. Objective: To examine whether coping ability, meaningful activity, and social support mediate the relationship between participation and two indicators of veterans’ overall well-being: life meaning (psychological well-being) and life satisfaction (subjective well-being). Design: Explanatory cross-sectional design. We used two multiple mediation models to test whether coping ability, meaningful activity, and social support explained the relationship between participation and both life meaning and life satisfaction. Models were adjusted for demographic characteristics and service-related health conditions (e.g., posttraumatic stress disorder). Setting: Community. Participants: Three hundred eighty-nine community-based veterans attending college. Intervention: None. Outcomes and Measures: Measures of participation, coping ability, meaningful activity, social support, life meaning, life satisfaction, and service-related health conditions. Results: Meaningfulness of activity partially explained the relationship between participation and both psychological well-being (B = 0.16, standard error [SE] = 0.04, 99% confidence interval [CI] [0.07, 0.27]) and subjective well-being (B = 0.14, SE = 0.03, 99% CI [0.07, 0.24]). Social support partially explained the relationship between participation and subjective well-being (B = 0.05, SE = 0.02, 99% CI [0.01, 0.11]). These findings persisted when symptoms of service-related health conditions were accounted for. Conclusions and Relevance: Veterans’ participation is associated with a greater sense of meaningful activity and social support, which in turn promotes psychological and subjective well-being. Occupational therapy practitioners may promote veterans’ well-being by supporting engagement in activities that elicit meaning and enable social interaction, although further study is needed. What This Article Adds: This is among the first studies to test mechanisms underlying the relationship between veterans’ engagement in activities and their overall well-being. Results may inform treatment theories for activity-based interventions in the veteran population. For example, results indicate that occupational therapy interventions that facilitate engagement in meaningful and shared activities could be developed to promote veterans’ well-being.

Mycobacteria remain an important problem worldwide, especially drug resistant human pathogens. Novel therapeutics are urgently needed to tackle both drug-resistant tuberculosis (TB) and difficult-to-treat infections with nontuberculous mycobacteria (NTM). Benzothiazole adamantyl amide had previously emerged as a high throughput screening hit against M. tuberculosis (Mtb) and was subsequently found to be active against NTM as well. For lead optimization, we applied an iterative process of design, synthesis and screening of several 100 analogs to improve antibacterial potency as well as physicochemical and pharmacological properties to ultimately achieve efficacy. Replacement of the adamantyl group with cyclohexyl derivatives, including bicyclic moieties, resulted in advanced lead compounds that showed excellent potency and a mycobacteria-specific spectrum of activity. MIC values ranged from 0.03 to 0.12 μg/mL against M. abscessus (Mabs) and other rapid- growing NTM, 1-2 μg/mL against M. avium complex (MAC), and 0.12-0.5 μg/mL against Mtb. No pre-existing resistance was found in a collection of n = 54 clinical isolates of rapid-growing NTM. Unlike many antibacterial agents commonly used to treat mycobacterial infections, benzothiazole amides demonstrated bactericidal effects against both Mtb and Mabs. Metabolic labeling provided evidence that the compounds affect the transfer of mycolic acids to their cell envelope acceptors in mycobacteria. Mapping of resistance mutations pointed to the trehalose monomycolate transporter (MmpL3) as the most likely target. In vivo efficacy and tolerability of a benzothiazole amide was demonstrated in a mouse model of chronic NTM lung infection with Mabs. Once daily dosing over 4 weeks by intrapulmonary microspray administration as 5% corn oil/saline emulsion achieved statistically significant CFU reductions compared to vehicle control and non-inferiority compared to azithromycin. The benzothiazole amides hold promise for development of a novel therapeutic agent with broad antimycobacterial activity, though further work is needed to develop drug formulations for direct intrapulmonary delivery via aerosol.

Retrospective cross sectional.The purpose of this study was to assess the independent associations between perceived participation in clinical decision making on rehabilitation length of stay, discharge functional status, and discharge setting following inpatient rehabilitation.Active participation in the inpatient rehabilitation process, which is the most intense post-acute rehabilitation service, should lead to better patient experiences and outcomes.Self-reported information from participant interviews was linked with data in administrative medical records for Medicare beneficiaries discharged from inpatient rehabilitation facilities in 2007-2009. The decision making variable assessed participants' perceived participation in decision making during their inpatient rehabilitation stays. The three outcome variables were inpatient rehabilitation length of stay, discharge functional status, and discharge setting.Among the 41,110 participants interviewed, approximately 89%Nearly nine in 10 Medicare beneficiaries report participating in decision making when receiving inpatient rehabilitation services. Increasing participation may lead to improvements in fundamental rehabilitation outcomes.

Objective. This study explored the experiences and needs of older adults during and following Hurricane Ike. Method. Two focus group interviews were conducted among older adults who lived in or around Galveston Island before Hurricane Ike. Nine older adults (six women and three men) participated in two focus group sessions. These qualitative interviews were audio recorded, transcribed, and analyzed using thematic content analyses. Results. The findings of this study reveal the need for continuity in health care services, medications, psychological support, social and family support, community-level services, and information among older adults. Conclusions. The contribution of factors such as health care continuity and psychological support reinforces the importance of specific postdisaster resources to meet the needs of older adults following hurricanes. These results suggest the importance of designing hurricane preparedness guidelines specifically for older adults.

Objective Examine readmission patterns over 90-day episodes of care in persons discharged from hospitals to post-acute settings. Design Retrospective cohort study. Setting Acute care hospitals. Participants Medicare fee-for-service enrollees (N = 686,877) discharged from hospitals to post-acute care in 2013-2014. The cohort included beneficiaries >65 years of age hospitalized for stroke, joint replacement, or hip fracture and who survived for 90 days following discharge. Measurements 90-day unplanned readmissions. Results The cohort included 127,680 individuals with stroke, 442,195 undergoing joint replacement, and 117,002 with hip fracture. Thirty-day readmission rates ranged from 3.1% for knee replacement patients discharged to home health agencies (HHAs) to 14.4% for hemorrhagic stroke patients discharged to skilled nursing facilities (SNFs). Ninety-day readmission rates ranged from 5.0% for knee replacement patients discharged to HHAs to 26.1% for hemorrhagic stroke patients discharged to SNFs. Differences in readmission rates decreased between stroke subconditions (hemorrhagic and ischemic) and increased between joint replacement subconditions (knee, elective hip, and nonelective hip) from 30 to 90 days across all initial post-acute discharge settings. Conclusions We observed clear patterns in readmissions over 90-day episodes of care across post-acute discharge settings and subconditions. Our findings suggest that patients with hemorrhagic stroke may be more vulnerable than those with ischemic over the first 30 days after hospital discharge. For patients receiving nonelective joint replacements, readmission prevention efforts should start immediately after discharge and continue, or even increase, over the 90-day episode of care.