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PurposeTo develop a model for factors predictive of Post-Acute Care Facility (PACF) discharge in adult patients undergoing elective multi-level (≥ 3 segments) lumbar/thoracolumbar spinal instrumented fusions.MethodsThe State Inpatient Databases acquired from the Healthcare Cost and Utilization Project from 2005 to 2013 were queried for adult patients who underwent elective multi-level thoracolumbar fusions for spinal deformity. Outcome variables were classified as discharge to home or PACF. Predictive variables included demographic, pre-operative, and operative factors. Univariate and multivariate logistic regression analyses informed development of a logistic regression-based predictive model using seven selected variables. Performance metrics included area under the curve (AUC), sensitivity, and specificity.ResultsIncluded for analysis were 8866 patients. The logistic model including significant variables from multivariate analysis yielded an AUC of 0.75. Stepwise logistic regression was used to simplify the model and assess number of variables needed to reach peak AUC, which included seven selected predictors (insurance, interspaces fused, gender, age, surgical region, CCI, and revision surgery) and had an AUC of 0.74. Model cut-off for predictive PACF discharge was 0.41, yielding a sensitivity of 75% and specificity of 59%.ConclusionsThe seven variables associated significantly with PACF discharge (age > 60, female gender, non-private insurance, primary operations, instrumented fusion involving 8+ interspaces, thoracolumbar region, and higher CCI scores) may aid in identification of adults at risk for discharge to a PACF following elective multi-level lumbar/thoracolumbar spinal fusions for spinal deformity. This may in turn inform discharge planning and expectation management.

Background: Cognitive-linguistic interventions for aphasia are behavioural-based approaches to therapy that aim to treat language impairment skills post-acquired brain injury. The purpose of cognitive-linguistic intervention is to restore and rehabilitate language impairment skills through targeting phonologic, semantic and syntactic systems, which may support goals to improve everyday communication. Aims: The aim of this systematic review was to investigate the effects of cognitive-linguistic interventions on language processing for aphasia in the first 90 days post-stroke. Secondary aims include the investigation of the effects of these interventions on functional communication and quality of life. Methods: A systematic search was conducted across six databases. Twenty-one studies met the predefined eligibility criteria and were included in the review. Studies were rated for methodological quality and data extracted. A narrative synthesis was completed and conducted for all included studies. Four studies were suitable for meta-analysis. Main Contribution: Evidence for the effects of cognitive-linguistic intervention for aphasia in the first 90 days post-stroke is inconclusive. Intervention approaches included constraint-induced intervention, melodic intonation therapy and study specific cognitive-linguistic intervention. Multiple studies investigated the use of computers as a mode of intervention delivery or to increase the frequency of intervention or session duration. Improvement on language outcomes was associated with positive effects on functional communication, regardless of the specific intervention. There were mixed results for quality-of-life outcomes. Conclusions: Further research is required to guide aphasia intervention the first 90 days post stroke, a time critical period for recovery and rehabilitation. Research reports should include adequate description of participant characteristics and consistent use of intervention protocols and outcome measures

Background: The primary purpose of Subacute Care Units (SCU) is to decongest acute hospital wards and facilitate the return of older patients to home. Aims: We analyzed the clinical characteristics and outcomes of patients admitted to an Italian SCU, and we explored factors associated with discharge to locations other than home (outcome). Methods: This retrospective observational cohort study was conducted at a medium-sized suburban hospital, enrolling all patients consecutively admitted to one SCU from October 2017 to February 2020. We collected demographics, cause of admission, comorbidities, cognition, Barthel Index (BI), nutritional status, Clinical Frailty Scale (CFS), length of stay, and discharge destination. Delirium was screened with the 4AT score. We adopted a multivariable conditional logistic regression model to identify the factors associated with the outcome. Results: Frail subjects accounted for 58.6% of 406 patients (mean age 78.2 years, SD 11.6), while 61% were classified as functionally dependent. More than half of patients had relevant comorbidity, approximately 80% had a poor nutritional status, and 25% had pre-existing dementia. The overall prevalence of delirium was 14.5%. Most patients came from a hospital setting; recurrent reasons for admission were infections (70.5%) and heart failure (12.7%). Having a urinary bladder catheter at discharge, being overtly frail (CFS > 8), and low BI score were factors independently associated with not being discharged home. Discussion and conclusion: The routine assessment of frailty, as expressed by the CFS, may help redirecting the patients eligible for SCU admission.

BACKGROUND AND PURPOSE: Postacute care reform is driving physical and occupational therapists in skilled nursing facilities (SNFs) to change how they deliver care to produce better outcomes in less time. However, gaps exist in understanding determinants of practice change, which limits translation of evidence into practice. This study explored what determinants impacted change in care delivery at 2 SNFs that implemented a high-intensity resistance training intervention. METHODS: We used a mixed-methods, sequential explanatory design to explain quantitative findings using qualitative methods with a multiple-case study approach. Quantitative data were collected on therapists attitudes toward evidence-based practice and aspects of intervention implementation. We conducted focus groups with therapists (N = 15) at 2 SNFs, classified as either high- (SNF-H) or low-performing (SNF-L) based on implementation fidelity and sustainability. RESULTS AND DISCUSSION: Determinants of SNF rehabilitation practice change included the organizational system, team dynamics, patient and therapist self-efficacy, perceptions of intervention effectiveness, and ability to overcome preconceived notions. A patient-centered system, positive team dynamics, and ability to overcome preconceived notions fostered practice change at SNF-H. While self-efficacy and perception of effectiveness positively impacted change in practice at both SNFs, these determinants were not enough to overcome challenges at SNF-L. To adapt to changes and sustain rehabilitation value, further research must identify the combination of determinants that promote application of evidence-based practice. CONCLUSIONS: This study is the first step in understanding what drives change in SNF rehabilitation practice. As SNF rehabilitation continues to face changes in health care delivery and reimbursement, therapists will need to adapt, by changing practice patterns and adopting evidence-based approaches, to demonstrate value in posta

BACKGROUND: Emergency interhospital transfers from inpatient subacute care to acute care occur in 8% to 17.4% of admitted patients and are associated with high rates of acute care readmission and in-hospital mortality. Serious adverse events in subacute care (rapid response team or cardiac arrest team calls) and increased nursing surveillance are the strongest known predictors of emergency interhospital transfer from subacute to acute care hospitals. However, the epidemiology of clinical deterioration across sectors of care, and specifically in subacute care is not well understood. OBJECTIVE(S): To explore the trajectory of clinical deterioration in patients who did and did not have an emergency interhospital transfer from subacute to acute care; and develop an internally validated predictive model to identify the role of vital sign abnormalities in predicting these emergency interhospital transfers. DESIGN: This prospective, exploratory cohort study is a subanalysis of data derived from a larger case-time-control study. SETTING: Twenty-two wards of eight subacute care hospitals in five major health services in Victoria, Australia. All subacute care hospitals were geographically separate from their health services' acute care hospitals. PARTICIPANTS: All patients with an emergency transfer from inpatient rehabilitation or geriatric evaluation and management unit to an acute care hospital within the same health service were included. Patients receiving palliative care were excluded. METHOD(S): Study data were collected between 22 August 2015 and 30 October 2016 by medical record audit. The Cochran-Mantel-Haenszel test and bivariate logistic regression analysis were used to compare cases with controls and to account for health service clustering effect. RESULT(S): Data were collected on 603 transfers (557 patients) and 1160 controls. Adjusted for health service, >=2 vital sign abnormalities in subacute care (adjusted odds ratio=8.81, 95% confidence intervals:6.36-12.1

BACKGROUND: Emergency interhospital transfers from inpatient subacute care to acute care occur in 8% to 17.4% of admitted patients and are associated with high rates of acute care readmission and in-hospital mortality. Serious adverse events in subacute care (rapid response team or cardiac arrest team calls) and increased nursing surveillance are the strongest known predictors of emergency interhospital transfer from subacute to acute care hospitals. However, the epidemiology of clinical deterioration across sectors of care, and specifically in subacute care is not well understood. OBJECTIVE(S): To explore the trajectory of clinical deterioration in patients who did and did not have an emergency interhospital transfer from subacute to acute care; and develop an internally validated predictive model to identify the role of vital sign abnormalities in predicting these emergency interhospital transfers. DESIGN: This prospective, exploratory cohort study is a subanalysis of data derived from a larger case-time-control study. SETTING: Twenty-two wards of eight subacute care hospitals in five major health services in Victoria, Australia. All subacute care hospitals were geographically separate from their health services' acute care hospitals. PARTICIPANTS: All patients with an emergency transfer from inpatient rehabilitation or geriatric evaluation and management unit to an acute care hospital within the same health service were included. Patients receiving palliative care were excluded. METHOD(S): Study data were collected between 22 August 2015 and 30 October 2016 by medical record audit. The Cochran-Mantel-Haenszel test and bivariate logistic regression analysis were used to compare cases with controls and to account for health service clustering effect. RESULT(S): Data were collected on 603 transfers (557 patients) and 1160 controls. Adjusted for health service, >=2 vital sign abnormalities in subacute care (adjusted odds ratio=8.81, 95% confidence intervals:6.36-12.1

Nearly half of hospitalized Medicare patients in 2018 were discharged to post-acute care (PAC), accounting for approximately $60 billion in annual spending. There are four PAC settings, and these vary in the intensity and complexity of medical, skilled nursing, and rehabilitative services provided; each setting uses a separate payment system. Due to considerable variation in PAC use, with concerns that similar patients can be treated in different PAC settings, the Centers for Medicare & Medicaid Services (CMS) recently introduced several major policy changes. For home health agencies (HHAs) and skilled nursing facilities (SNFs), CMS implemented new payment models to better align payment with patients' care needs rather than the provision of rehabilitation. For long-term acute care hospitals, CMS will now decrease payment for less medically ill patients. To choose PAC wisely, hospitalists and hospital leaders must understand how these new policies will change where patients can be discharged and the services these patients receive at these PAC settings.

ObjectiveThe aim of the study was to investigate whether the elimination of trial admissions and the initiation of documentation requirements, via the 2010 Centers for Medicare and Medicaid Services Inpatient Rehabilitation Facility Prospective Payment System Rule, limited inpatient rehabilitation facility access while increasing skilled nursing facility utilization compared with home discharge in ischemic stroke patients.DesignThis is a retrospective observational study using Get with the Guidelines - Stroke hospital data between January 1, 2008 and December 31, 2015 (N = 1,643,553).ResultsBetween January 1, 2008 and December 31, 2009, 54.1% of patients went home, 25.4% to inpatient rehabilitation facility and 20.5% to skilled nursing facility. Between January 1, 2010 and December 31, 2015, there was a 1.4% absolute increase in home discharge, a 1.1% inpatient rehabilitation facility decline and a 0.3% skilled nursing facility decline.Within the 1.1% absolute decline in inpatient rehabilitation facility discharge, the adjusted odds of inpatient rehabilitation facility versus home discharge decreased 12% after 2010 Rule (adjusted odds ratio = 0.88, 95% confidence interval = 0.87-0.89, P < 0.0001). There was no statistically significant change in skilled nursing facility versus home discharge.Lower adjusted odds of inpatient rehabilitation facility discharge versus home discharge were identical across age groups and were present in all geographic regions.ConclusionsIn populations with ischemic stroke, the Centers for Medicare and Medicaid Services 2010 Inpatient Rehabilitation Facility Prospective Payment System Rule was associated with a 1.1% absolute decrease in inpatient rehabilitation facility discharge, with a concomitant increase in home discharge rather than to skilled nursing facility.

Medication deprescribing is essential to prevent inappropriate medication use in multimorbid patients. However, experience of deprescribing in Danish Subacute Medical Outpatient Clinics (SMOCs) is limited. The objective of our pilot study was to evaluate the feasibility and sustainability of a collaborative deprescribing intervention by a pharmacist and a physician to multimorbid patients in a SMOC. A randomized controlled pilot study was conducted, with phone follow-up at 30 and 365+ days. A senior pharmacist performed a systematic deprescribing intervention using the Screening Tool of Older Persons’ potentially inappropriate Prescriptions (STOPP) criteria, the Danish deprescribing list, and patient interviews. A senior physician received the proposed recommendations and decided which should be implemented. The main outcome was the number of patients having ≥1 medication where deprescribing status was sustained 30 days after inclusion. Out of 76 eligible patients, 72 (95%) were included and 67 (93%) completed the study (57% male; mean age 73 years; mean number of 10 prescribed medications). Nineteen patients (56%) in the intervention group and four (12%) in the control group had ≥1 medication where deprescribing status was sustained 30 days after inclusion (p = 0.015). In total, 37 medications were deprescribed in the intervention group and five in the control group. At 365+ days after inclusion, 97% and 100% of the deprescribed medications were sustained in the intervention and control groups, respectively. The three most frequently deprescribed medication groups were analgesics, cardiovascular, and gastrointestinal medications. In conclusion, a collaborative deprescribing intervention for multimorbid patients was feasible and resulted in sustainable deprescribing of medication in a SMOC.

Medication deprescribing is essential to prevent inappropriate medication use in multimorbid patients. However, experience of deprescribing in Danish Subacute Medical Outpatient Clinics (SMOCs) is limited. The objective of our pilot study was to evaluate the feasibility and sustainability of a collaborative deprescribing intervention by a pharmacist and a physician to multimorbid patients in a SMOC. A randomized controlled pilot study was conducted, with phone follow-up at 30 and 365+ days. A senior pharmacist performed a systematic deprescribing intervention using the Screening Tool of Older Persons’ potentially inappropriate Prescriptions (STOPP) criteria, the Danish deprescribing list, and patient interviews. A senior physician received the proposed recommendations and decided which should be implemented. The main outcome was the number of patients having ≥1 medication where deprescribing status was sustained 30 days after inclusion. Out of 76 eligible patients, 72 (95%) were included and 67 (93%) completed the study (57% male; mean age 73 years; mean number of 10 prescribed medications). Nineteen patients (56%) in the intervention group and four (12%) in the control group had ≥1 medication where deprescribing status was sustained 30 days after inclusion (p = 0.015). In total, 37 medications were deprescribed in the intervention group and five in the control group. At 365+ days after inclusion, 97% and 100% of the deprescribed medications were sustained in the intervention and control groups, respectively. The three most frequently deprescribed medication groups were analgesics, cardiovascular, and gastrointestinal medications. In conclusion, a collaborative deprescribing intervention for multimorbid patients was feasible and resulted in sustainable deprescribing of medication in a SMOC.

Objectives: To conduct a pilot study implementing combined genomic and epidemiologic surveillance for hospital-acquired multidrug-resistant organisms (MDROs) to predict transmission between patients and to estimate the local burden of MDRO transmission. Design(s): Pilot prospective multicenter surveillance study. Setting(s): The study was conducted in 8 university hospitals (2,800 beds total) in Melbourne, Australia (population 4.8 million), including 4 acute-care, 1 specialist cancer care, and 3 subacute-care hospitals. Method(s): All clinical and screening isolates from hospital inpatients (April 24 to June 18, 2017) were collected for 6 MDROs: VanA VRE, MRSA, ESBL Escherichia coli (ESBL-Ec) and Klebsiella pneumoniae (ESBL-Kp), and carbapenem-resistant Pseudomonas aeruginosa (CRPa) and Acinetobacter baumannii (CRAb). Isolates were analyzed and reported as routine by hospital laboratories, underwent whole-genome sequencing at the central laboratory, and were analyzed using open-source bioinformatic tools. MDRO burden and transmission were assessed using combined genomic and epidemiologic data. Result(s): In total, 408 isolates were collected from 358 patients; 47.5% were screening isolates. ESBL-Ec was most common (52.5%), then MRSA (21.6%), vanA VRE (15.7%), and ESBL-Kp (7.6%). Most MDROs (88.3%) were isolated from patients with recent healthcare exposure. Combining genomics and epidemiology identified that at least 27.1% of MDROs were likely acquired in a hospital; most of these transmission events would not have been detected without genomics. The highest proportion of transmission occurred with vanA VRE (88.4% of patients). Conclusion(s): Genomic and epidemiologic data from multiple institutions can feasibly be combined prospectively, providing substantial insights into the burden and distribution of MDROs, including in-hospital transmission. This analysis enables infection control teams to target interventions more effectively. Copyright © 2020 by The Society

AIMS AND OBJECTIVES: To examine the relationship between resuscitation status and (i) patient characteristics; (ii) transfer characteristics; and (iii) patient outcomes following an emergency inter-hospital transfer from a subacute to an acute care hospital. BACKGROUND: Patients who experience emergency inter-hospital transfers from subacute to acute care hospitals have high rates of acute care readmission (81%) and in-hospital mortality (15%). DESIGN: This prospective, exploratory cohort study was a subanalysis of data from a larger case-time-control study in five Health Services in Victoria, Australia. There were 603 transfers in 557 patients between August 2015 and October 2016. The study was conducted in accordance with the STrengthening the Reporting of OBservational studies in Epidemiology guidelines. METHOD(S): Data were extracted by medical record audit. Three resuscitation categories (full resuscitation; limitation of medical treatment (LOMT) orders; or not-for-cardiopulmonary resuscitation (CPR) orders) were compared using chi-square or Kruskal-Wallis tests. Stratified multivariable proportional hazard Cox regression models were used to account for health service clustering effect. FINDINGS: Resuscitation status was 63.5% full resuscitation; 23.1% LOMT order; and 13.4% not-for-CPR. Compared to patients for full resuscitation, patients with not-for-CPR or LOMT orders were more likely to have rapid response team calls during acute care readmission or to die during hospitalisation. Patients who were not-for-CPR were less likely to be readmitted to acute care and more likely to return to subacute care. CONCLUSION(S): Two-thirds of patients in subacute care who experienced an emergency inter-hospital transfer were for full resuscitation. Although the proportion of patients with LOMT and not-for-CPR orders increased after transfer, there were deficiencies in the documentation of resuscitation status and planning for clinical deterioration for subacute care patie

Childhood stroke results in long-term, multifaceted difficulties, affecting motor, cognitive, communication, and behavioral domains of function which impact on participation and quality of life. The Childhood Stroke Consensus Rehabilitation Guideline was developed to improve the care of children with stroke by providing health professionals with recommendations to assist in their rehabilitative treatment. Clinical questions were formulated to inform systematic database searches from 2001 to 2016, limited to English and pediatric studies. SIGN methodology and the National Health and Medical Research Council system were used to screen and classify the evidence. The Grade of Recommendation, Assessment, Development and Evaluation system was used to grade evidence as strong or weak. Where evidence was inadequate or absent, a modified Delphi consensus process was used to develop consensus-based recommendations. The guideline provides 56 recommendations (1 evidence-based recommendation and 55 consensus recommendations). These relate to the framework of rehabilitation service delivery as well as domain-specific rehabilitation treatment strategies for each domain of function. It is anticipated that this guideline will provide health professions with recommendations to improve the subacute care of children with stroke both in Australia and internationally.Copyright © 2020 World Stroke Organization.

Objectives: To conduct a pilot study implementing combined genomic and epidemiologic surveillance for hospital-acquired multidrug-resistant organisms (MDROs) to predict transmission between patients and to estimate the local burden of MDRO transmission. Design(s): Pilot prospective multicenter surveillance study. Setting(s): The study was conducted in 8 university hospitals (2,800 beds total) in Melbourne, Australia (population 4.8 million), including 4 acute-care, 1 specialist cancer care, and 3 subacute-care hospitals. Method(s): All clinical and screening isolates from hospital inpatients (April 24 to June 18, 2017) were collected for 6 MDROs: VanA VRE, MRSA, ESBL Escherichia coli (ESBL-Ec) and Klebsiella pneumoniae (ESBL-Kp), and carbapenem-resistant Pseudomonas aeruginosa (CRPa) and Acinetobacter baumannii (CRAb). Isolates were analyzed and reported as routine by hospital laboratories, underwent whole-genome sequencing at the central laboratory, and were analyzed using open-source bioinformatic tools. MDRO burden and transmission were assessed using combined genomic and epidemiologic data. Result(s): In total, 408 isolates were collected from 358 patients; 47.5% were screening isolates. ESBL-Ec was most common (52.5%), then MRSA (21.6%), vanA VRE (15.7%), and ESBL-Kp (7.6%). Most MDROs (88.3%) were isolated from patients with recent healthcare exposure. Combining genomics and epidemiology identified that at least 27.1% of MDROs were likely acquired in a hospital; most of these transmission events would not have been detected without genomics. The highest proportion of transmission occurred with vanA VRE (88.4% of patients). Conclusion(s): Genomic and epidemiologic data from multiple institutions can feasibly be combined prospectively, providing substantial insights into the burden and distribution of MDROs, including in-hospital transmission. This analysis enables infection control teams to target interventions more effectively. Copyright © 2020 by The Society

AIMS AND OBJECTIVES: To examine the relationship between resuscitation status and (i) patient characteristics; (ii) transfer characteristics; and (iii) patient outcomes following an emergency inter-hospital transfer from a subacute to an acute care hospital. BACKGROUND: Patients who experience emergency inter-hospital transfers from subacute to acute care hospitals have high rates of acute care readmission (81%) and in-hospital mortality (15%). DESIGN: This prospective, exploratory cohort study was a subanalysis of data from a larger case-time-control study in five Health Services in Victoria, Australia. There were 603 transfers in 557 patients between August 2015 and October 2016. The study was conducted in accordance with the STrengthening the Reporting of OBservational studies in Epidemiology guidelines. METHOD(S): Data were extracted by medical record audit. Three resuscitation categories (full resuscitation; limitation of medical treatment (LOMT) orders; or not-for-cardiopulmonary resuscitation (CPR) orders) were compared using chi-square or Kruskal-Wallis tests. Stratified multivariable proportional hazard Cox regression models were used to account for health service clustering effect. FINDINGS: Resuscitation status was 63.5% full resuscitation; 23.1% LOMT order; and 13.4% not-for-CPR. Compared to patients for full resuscitation, patients with not-for-CPR or LOMT orders were more likely to have rapid response team calls during acute care readmission or to die during hospitalisation. Patients who were not-for-CPR were less likely to be readmitted to acute care and more likely to return to subacute care. CONCLUSION(S): Two-thirds of patients in subacute care who experienced an emergency inter-hospital transfer were for full resuscitation. Although the proportion of patients with LOMT and not-for-CPR orders increased after transfer, there were deficiencies in the documentation of resuscitation status and planning for clinical deterioration for subacute care patie

Childhood stroke results in long-term, multifaceted difficulties, affecting motor, cognitive, communication, and behavioral domains of function which impact on participation and quality of life. The Childhood Stroke Consensus Rehabilitation Guideline was developed to improve the care of children with stroke by providing health professionals with recommendations to assist in their rehabilitative treatment. Clinical questions were formulated to inform systematic database searches from 2001 to 2016, limited to English and pediatric studies. SIGN methodology and the National Health and Medical Research Council system were used to screen and classify the evidence. The Grade of Recommendation, Assessment, Development and Evaluation system was used to grade evidence as strong or weak. Where evidence was inadequate or absent, a modified Delphi consensus process was used to develop consensus-based recommendations. The guideline provides 56 recommendations (1 evidence-based recommendation and 55 consensus recommendations). These relate to the framework of rehabilitation service delivery as well as domain-specific rehabilitation treatment strategies for each domain of function. It is anticipated that this guideline will provide health professions with recommendations to improve the subacute care of children with stroke both in Australia and internationally.Copyright © 2020 World Stroke Organization.

Although we are currently overwhelmed by the astonishing speed of infection of the Covid-19 pandemic, and the daily onslaught of new, and ever-worsening predictions, it is vital that we begin to prepare for the aftershocks of the pandemic. Prominent among this will be the cohort of post-intensive case survivors who have been mechanically ventilated and will like experience short- and medium-term consequences. The notion that patients surviving intensive care and mechanical ventilation for several weeks can be discharged home without further medical attention is a dangerous illusion. Post Intensive Care Syndrome and other severe conditions will require not only adequate screening but early rehabilitation and other interventions. Action must be taken now to prepare for this inevitable aftershock to the healthcare system.

PURPOSE: To examine the efficacy of an occupational therapy activity pacing intervention with deconditioned older adults in rehabilitation. METHOD: Randomised, single-blind controlled trial of deconditioned older adults admitted for rehabilitation following treatment of an acute medical condition, allocated to intervention [n = 51, males = 14, mean age = 80(8)] or control [n = 49, males = 12, mean age = 81(7)] group. The intervention group received individual and group activity pacing education with practice and application of techniques to daily activities and the home environment, while the control group received a typical occupational therapy program, which included brief activity pacing education. Outcomes included participation in daily living skills, health status (including pain and fatigue symptoms), self-efficacy in daily activities and activity pacing techniques using the Australian Therapy Outcome Measures-Occupational Therapy (AusTOMs-OT), Short Form-36 Health Survey (SF-36), Self-Efficacy Gauge and Activity Pacing Assessment. RESULTS: No differences in groups at admission. Comparison at discharge and three months post discharge using 2 × 2 mixed ANOVA demonstrated small differences in only one scale of the activity limitation domain of the AusTOMs-OT. No significant differences were found in other scales or domains of the AusTOMs-OT, nor secondary outcome measures. CONCLUSION: Activity pacing in addition to typical occupational therapy during inpatient rehabilitation did not demonstrate benefits to participants in the management of their daily activities on returning home post hospitalisation. Implications for rehabilitation Activity pacing has been identified as one of the commonly used occupational therapy interventions utilised with deconditioned older adults in rehabilitation. An activity pacing intervention in conjunction with typical occupational therapy demonstrated no benefits for deconditioned older adults over typical occupational therapy whic

ObjectivesLong-term acute care (LTAC) hospitals provide extended complex post-acute care to more than 120 000 Medicare beneficiaries annually, with the goal of helping patients to regain independence and recover. Because little is known about patients' long-term outcomes, we sought to examine the clinical course after LTAC admission.DesignNationally representative 5-year cohort study using 5% Medicare data from 2009 to 2013.SettingLTAC hospitals.ParticipantsHospitalized Medicare fee-for-service beneficiaries 65 years of age or older who were transferred to an LTAC hospital.MeasurementsMortality, recovery (defined as achieving 60 consecutive days alive without inpatient care), time spent in an inpatient facility following LTAC hospital admission, receipt of an artificial life-prolonging procedure (feeding tube, tracheostomy, hemodialysis), and palliative care physician consultation.ResultsOf 14 072 hospitalized older adults transferred to an LTAC hospital, median survival was 8.3 months, and 1- and 5-year survival rates were 45% and 18%, respectively. Following LTAC admission, 53% never achieved a 60-day recovery. The median time of their remaining life a patient spent as an inpatient after LTAC admission was 65.6% (interquartile range = 21.4%-100%). More than one-third (36.9%) died in an inpatient setting, never returning home after the LTAC admission. During the preceding hospitalization and index LTAC admission, 30.9% received an artificial life-prolonging procedure, and 1% had a palliative care physician consultation.ConclusionHospitalized older adults transferred to LTAC hospitals have poor survival, spend most of their remaining life as an inpatient, and frequently undergo life-prolonging procedures. This prognostic understanding is essential to inform goals of care discussions and prioritize healthcare needs for hospitalized older adults admitted to LTAC hospitals. Given the exceedingly low rates of palliative care consultations, future research is needed to e

Objective To describe characteristics and outcomes of emergency interhospital transfers from subacute to acute hospital care and develop an internally validated predictive model to identify features associated with high risk of emergency interhospital transfer. Design Prospective case-Time-control study. Setting Acute and subacute healthcare facilities from five health services in Victoria, Australia. Participants Cases were patients with an emergency interhospital transfer from subacute to acute hospital care. For every case, two inpatients from the same subacute care ward on the same day of emergency transfer were randomly selected as controls. Admission episode was the unit of measurement and data were collected prospectively. Main outcome measures Patient and admission characteristics, transfer characteristics and outcomes (cases), serious adverse events and mortality. Results Data were collected for 603 transfers in 557 patients and 1160 control patients. Cases were significantly more likely to be male, born in a non-English speaking country, have lower functional independence, more frequent vital sign assessments and experience a serious adverse event during first acute care or subacute care admissions. When adjusted for health service, cases had significantly higher inpatient mortality, were more likely to have unplanned intensive care unit admissions and rapid response team calls during their entire hospital admission. Conclusions Patients who require an emergency interhospital transfer from subacute to acute hospital care have hospital admission rates and in-hospital mortality. Clinical instability during the first acute care admission (serious adverse events or increased surveillance) may prompt reassessment of patient suitability for movement to a separate subacute care hospital.Copyright © The Author(s) 2018. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions

Objectives: Significant challenges exist in meeting the end-of-life care needs of older people. For families, when and how end-of-life care is provided may be important indicators of quality personcentred care. The goal of this study was to investigate how end-oflife care was provided for older people in subacute care, a setting in which care is normally directed towards rehabilitation and restoration. Method(s): Following low-risk ethical approval, a retrospective chart audit of inpatient deaths in one year (n = 54) in a 183-bed subacute care setting was undertaken. Demographic data and data related to pre-hospital end-of-life care planning, reason for admission and care goals were collected. Written clinician entries were audited for evidence of communication and decision-making related to end-oflife care. Content analysis was used to determine factors influencing care goals, and the degree to which end-of-life care was personcentred and tailored to the individual needs of the older person and their family. Result(s): Of the 54 inpatients who died, the mean age was 83 years (SD = 9). None of the cohort had evidence of pre-hospital advance care planning and almost all (n = 49, 90.1%) were transferred from an acute hospital setting. 'Falls' (n = 15, 27.8%), 'Circulatory Disease' (n = 13, 24.1%) and 'Problems related to life management difficulty' (n = 6, 11.1%) were the top three reasons for admission. The cohort had multiple comorbidities including cognitive impairment (n = 23, 42.6%). With none of the cohort having evidence of pre-hospital advance care planning, goals of admission included 'Assessment' (n = 39, 47.6%), 'To establish a safe discharge destination' (n = 32, 39.0%) and 'Rehabilitation' (n = 3, 3.7%). Once it was determined a patient was dying, just over half (n = 31, 57.4%) received end-of-life care according to the dying care pathway. Just over half of the cohort (n = 29, 53.7%) were referred for specialist palliative care review, yet, despite an ave

Objective To describe characteristics and outcomes of emergency interhospital transfers from subacute to acute hospital care and develop an internally validated predictive model to identify features associated with high risk of emergency interhospital transfer. Design Prospective case-Time-control study. Setting Acute and subacute healthcare facilities from five health services in Victoria, Australia. Participants Cases were patients with an emergency interhospital transfer from subacute to acute hospital care. For every case, two inpatients from the same subacute care ward on the same day of emergency transfer were randomly selected as controls. Admission episode was the unit of measurement and data were collected prospectively. Main outcome measures Patient and admission characteristics, transfer characteristics and outcomes (cases), serious adverse events and mortality. Results Data were collected for 603 transfers in 557 patients and 1160 control patients. Cases were significantly more likely to be male, born in a non-English speaking country, have lower functional independence, more frequent vital sign assessments and experience a serious adverse event during first acute care or subacute care admissions. When adjusted for health service, cases had significantly higher inpatient mortality, were more likely to have unplanned intensive care unit admissions and rapid response team calls during their entire hospital admission. Conclusions Patients who require an emergency interhospital transfer from subacute to acute hospital care have hospital admission rates and in-hospital mortality. Clinical instability during the first acute care admission (serious adverse events or increased surveillance) may prompt reassessment of patient suitability for movement to a separate subacute care hospital.Copyright © The Author(s) 2018. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions

ObjectivesLong-term acute care (LTAC) hospitals provide extended complex post-acute care to more than 120 000 Medicare beneficiaries annually, with the goal of helping patients to regain independence and recover. Because little is known about patients' long-term outcomes, we sought to examine the clinical course after LTAC admission.DesignNationally representative 5-year cohort study using 5% Medicare data from 2009 to 2013.SettingLTAC hospitals.ParticipantsHospitalized Medicare fee-for-service beneficiaries 65 years of age or older who were transferred to an LTAC hospital.MeasurementsMortality, recovery (defined as achieving 60 consecutive days alive without inpatient care), time spent in an inpatient facility following LTAC hospital admission, receipt of an artificial life-prolonging procedure (feeding tube, tracheostomy, hemodialysis), and palliative care physician consultation.ResultsOf 14 072 hospitalized older adults transferred to an LTAC hospital, median survival was 8.3 months, and 1- and 5-year survival rates were 45% and 18%, respectively. Following LTAC admission, 53% never achieved a 60-day recovery. The median time of their remaining life a patient spent as an inpatient after LTAC admission was 65.6% (interquartile range = 21.4%-100%). More than one-third (36.9%) died in an inpatient setting, never returning home after the LTAC admission. During the preceding hospitalization and index LTAC admission, 30.9% received an artificial life-prolonging procedure, and 1% had a palliative care physician consultation.ConclusionHospitalized older adults transferred to LTAC hospitals have poor survival, spend most of their remaining life as an inpatient, and frequently undergo life-prolonging procedures. This prognostic understanding is essential to inform goals of care discussions and prioritize healthcare needs for hospitalized older adults admitted to LTAC hospitals. Given the exceedingly low rates of palliative care consultations, future research is needed to e

BackgroundUnderstanding and addressing racial and ethnic disparities in the quality of post-acute care in skilled nursing facilities is an important health policy issue, particularly as the Medicare program initiates value-based payments for these institutions.MethodsOur final cohort included 649,187 Medicare beneficiaries in either the fee-for-service or Medicare Advantage programs, who were 65 and older and were admitted to a skilled nursing facility following an acute hospital stay, from 8,375 skilled nursing facilities. We examined the quality of care in skilled nursing facilities that disproportionately serve minority patients compared to non-Hispanic whites. Three measures, all calculated at the level of the facility, were used to assess quality of care in skilled nursing facilities: (a) 30-day rehospitalization rate; (b) successful discharge from the facility to the community; and (c) Medicare five-star quality ratings.ResultsWe found that African American post-acute patients are highly concentrated in a small number of institutions, with 28% of facilities accounting for 80% of all post-acute admissions for African American patients. Similarly, just 20% of facilities accounted for 80% of all admissions for Hispanics. Skilled nursing facilities with higher fractions of African American patients had worse performance for three publicly reported quality measures: rehospitalization, successful discharge to the community, and the star rating indicator.ConclusionsEfforts to address disparities should focus attention on institutions that disproportionately serve minority patients and monitor unintended consequences of value-based payments to skilled nursing facilities.

Background Acute hospitalization of older adults can lead to deconditioning and the need for rehabilitation to facilitate a return to home and previous lifestyle. An occupational therapy intervention to combat deconditioning is activity pacing, an active self-management strategy where individuals learn to modify how and when activities are completed with the aim of improving participation in occupation. Purpose This study will examine the effectiveness of occupational therapy with activity pacing during rehabilitation for deconditioned older adults. Method A randomized controlled trial is proposed with inclusion criteria of older adults, 65+ years old, living independently in the community prior to admission, with adequate cognition and language to participate in the intervention. Participation, health status, self-efficacy in daily activities, self-efficacy in activity pacing techniques, and symptom management (pain and fatigue) will be measured at admission, discharge, and 3 months postdischarge. Implications Determining if an activity-pacing program is effective will provide occupational therapists with evidence to support service delivery., Description L’hospitalisation des aînés en soins de courte durée peut entraîner un déconditionnement et un besoin de réadaptation en vue de favoriser le retour à domicile et la reprise du style de vie antérieur. La planification et le dosage des activités est l’une des interventions ergothérapiques pouvant permettre de lutter contre le déconditionnement; il s’agit d’une stratégie active d’autogestion selon laquelle les individus apprennent à modifier leur façon de faire des activités et le moment où ils doivent les faire, en vue de rehausser leur participation à des occupations. But Cette étude vise à examiner l’efficacité d’un programme de planification et de dosage des activités en ergothérapie utilisé pendant la réadaptation de personnes âgées déconditionnées. Méthodologie Un essai randomisé comportant les critères d’inclusion suivants a été proposé: personnes âgées de plus de 65 ans, vivant de manière autonome dans la collectivité avant leur admission et ayant des niveaux de cognition et de langage adéquats pour participer à l’intervention. La participation, l’état de santé, l’autoefficacité dans la réalisation des activités quotidiennes, l’autoefficacité face aux techniques de planification et de dosage des activités, et la gestion des symptômes (douleur et fatigue) seront mesurés à l’admission et trois mois après la sortie de l’hôpital. Conséquences Cette étude visant à déterminer l’efficacité d’un programme de planification et de dosage des activités fournira aux ergothérapeutes des données probantes pour appuyer la prestation de services.

Importance:Despite providing an overlapping level of care, it is unknown why hospitalized older adults are transferred to long-term acute care hospitals (LTACs) vs less costly skilled nursing facilities (SNFs) for postacute care. Objective:To examine factors associated with variation in LTAC vs SNF transfer among hospitalized older adults. Design, Setting, and Participants:We conducted this retrospective observational cohort study of hospitalized older adults (≥65 years) transferred to an LTAC vs SNF during fiscal year 2012 using national 5% Medicare data. Main Outcomes and Measures:Predictors of LTAC transfer were assessed using a multilevel mixed-effects model adjusting for patient-, hospital-, and region-level factors. We estimated variation partition coefficients and adjusted hospital- and region-specific LTAC transfer rates using sequential models. Results:Among 65 525 hospitalized older adults (42 461 [64.8%] women; 39 908 [60.9%] ≥85 years) transferred to an LTAC or SNF, 3093 (4.7%) were transferred to an LTAC. We identified 29 patient-, 3 hospital-, and 5 region-level independent predictors. The strongest predictors of LTAC transfer were receiving a tracheostomy (adjusted odds ration [aOR], 23.8; 95% CI, 15.8-35.9) and being hospitalized in close proximity to an LTAC (0-2 vs >42 miles; aOR, 8.4, 95% CI, 6.1-11.5). After adjusting for case-mix, differences between patients explained 52.1% (95% CI, 47.7%-56.5%) of the variation in LTAC use. The remainder was attributable to hospital (15.0%; 95% CI, 12.3%-17.6%), and regional differences (32.9%; 95% CI, 27.6%-38.3%). Case-mix adjusted LTAC use was very high in the South (17%-37%) compared with the Pacific Northwest, North, and Northeast (<2.2%). From the full multilevel model, the median adjusted hospital LTAC transfer rate was 2.1% (10th-90th percentile, 0.24%-10.8%). Even within a region, adjusted hospital LTAC transfer rates varied substantially (intraclass correlation coefficient [ICC], 0.26; 95% CI

Introduction This protocol considers three allied health staffing models across public health subacute hospitals. This quasi-experimental mixed-methods study, including qualitative process evaluation, aims to evaluate the impact of additional allied health services in subacute care, in rehabilitation and geriatric evaluation management settings, on patient, health service and societal outcomes. Methods and analysis This health services research will analyse outcomes of patients exposed to different allied health models of care at three health services. Each health service will have a control ward (routine care) and an intervention ward (additional allied health). This project has two parts. Part 1: A whole of site data extraction for included wards. Outcome measures will include: Length of stay, rate of readmissions, discharge destinations, community referrals, patient feedback and staff perspectives. Part 2: Functional Independence Measure scores will be collected every 2-3 days for the duration of 60 patient admissions. Data from part 1 will be analysed by linear regression analysis for continuous outcomes using patient-level data and logistic regression analysis for binary outcomes. Qualitative data will be analysed using a deductive thematic approach. For part 2, a linear mixed model analysis will be conducted using therapy service delivery and days since admission to subacute care as fixed factors in the model and individual participant as a random factor. Graphical analysis will be used to examine the growth curve of the model and transformations. The days since admission factor will be used to examine non-linear growth trajectories to determine if they lead to better model fit. Ethics and dissemination Findings will be disseminated through local reports and to the Department of Health and Human Services Victoria. Results will be presented at conferences and submitted to peer-reviewed journals. The Monash Health Human Research Ethics committee approved this mu

Background: Significant challenges exist in meeting the healthcare needs of older people. Care is often provided for older people in subacute hospital settings where, despite a focus on optimising functioning, many older people will die. Aim(s): To investigate end of life care provision for older people in a subacute hospital setting. Design(s): A retrospective chart audit of all inpatient deaths in a 183-bed subacute hospital. Result(s): Of more than 3000 admissions in one year, 54 inpatients died. Most were transferred from an acute hospital, had multiple comorbidities including cognitive impairment (42.6%), with a mean age of 83 years (SD=9). There was no evidence of advance care planning, hence admission goals included 'Assessment', 'To establish a safe discharge destination' and 'Rehabilitation'. Recognition of patient deterioration and dying resulted in limitations of treatment in 77.8% of patients. 57.4% received terminal care guided by the available guideline and 53.7% were referred for specialist palliative care review. While the average wait time for review by the palliative care team was 0.6days (SD=0.8), 11.1% of patients died before review. Two key time points were identified, the first was information-related, representing the first documented evidence of patient deterioration towards death. The second time point was decisionrelated, representing the first documented evidence of a decision to provide end of life care. The use of unclear and ambiguous written language to communicate patient deterioration and dying may have impacted clinician understanding and delayed end of life care. Conclusion(s): Pre-hospital advance care planning is sub-optimal and should be prioritised in older people. Education is needed to improve recognition of patient deterioration and dying by clinicians. How patient deterioration and dying is documented in the medical record and communicated amongst the treating team requires further attention to facilitate timely, high quali

Importance:Despite providing an overlapping level of care, it is unknown why hospitalized older adults are transferred to long-term acute care hospitals (LTACs) vs less costly skilled nursing facilities (SNFs) for postacute care. Objective:To examine factors associated with variation in LTAC vs SNF transfer among hospitalized older adults. Design, Setting, and Participants:We conducted this retrospective observational cohort study of hospitalized older adults (≥65 years) transferred to an LTAC vs SNF during fiscal year 2012 using national 5% Medicare data. Main Outcomes and Measures:Predictors of LTAC transfer were assessed using a multilevel mixed-effects model adjusting for patient-, hospital-, and region-level factors. We estimated variation partition coefficients and adjusted hospital- and region-specific LTAC transfer rates using sequential models. Results:Among 65 525 hospitalized older adults (42 461 [64.8%] women; 39 908 [60.9%] ≥85 years) transferred to an LTAC or SNF, 3093 (4.7%) were transferred to an LTAC. We identified 29 patient-, 3 hospital-, and 5 region-level independent predictors. The strongest predictors of LTAC transfer were receiving a tracheostomy (adjusted odds ration [aOR], 23.8; 95% CI, 15.8-35.9) and being hospitalized in close proximity to an LTAC (0-2 vs >42 miles; aOR, 8.4, 95% CI, 6.1-11.5). After adjusting for case-mix, differences between patients explained 52.1% (95% CI, 47.7%-56.5%) of the variation in LTAC use. The remainder was attributable to hospital (15.0%; 95% CI, 12.3%-17.6%), and regional differences (32.9%; 95% CI, 27.6%-38.3%). Case-mix adjusted LTAC use was very high in the South (17%-37%) compared with the Pacific Northwest, North, and Northeast (<2.2%). From the full multilevel model, the median adjusted hospital LTAC transfer rate was 2.1% (10th-90th percentile, 0.24%-10.8%). Even within a region, adjusted hospital LTAC transfer rates varied substantially (intraclass correlation coefficient [ICC], 0.26; 95% CI

Introduction This protocol considers three allied health staffing models across public health subacute hospitals. This quasi-experimental mixed-methods study, including qualitative process evaluation, aims to evaluate the impact of additional allied health services in subacute care, in rehabilitation and geriatric evaluation management settings, on patient, health service and societal outcomes. Methods and analysis This health services research will analyse outcomes of patients exposed to different allied health models of care at three health services. Each health service will have a control ward (routine care) and an intervention ward (additional allied health). This project has two parts. Part 1: A whole of site data extraction for included wards. Outcome measures will include: Length of stay, rate of readmissions, discharge destinations, community referrals, patient feedback and staff perspectives. Part 2: Functional Independence Measure scores will be collected every 2-3 days for the duration of 60 patient admissions. Data from part 1 will be analysed by linear regression analysis for continuous outcomes using patient-level data and logistic regression analysis for binary outcomes. Qualitative data will be analysed using a deductive thematic approach. For part 2, a linear mixed model analysis will be conducted using therapy service delivery and days since admission to subacute care as fixed factors in the model and individual participant as a random factor. Graphical analysis will be used to examine the growth curve of the model and transformations. The days since admission factor will be used to examine non-linear growth trajectories to determine if they lead to better model fit. Ethics and dissemination Findings will be disseminated through local reports and to the Department of Health and Human Services Victoria. Results will be presented at conferences and submitted to peer-reviewed journals. The Monash Health Human Research Ethics committee approved this mu

Background: Significant challenges exist in meeting the healthcare needs of older people. Care is often provided for older people in subacute hospital settings where, despite a focus on optimising functioning, many older people will die. Aim(s): To investigate end of life care provision for older people in a subacute hospital setting. Design(s): A retrospective chart audit of all inpatient deaths in a 183-bed subacute hospital. Result(s): Of more than 3000 admissions in one year, 54 inpatients died. Most were transferred from an acute hospital, had multiple comorbidities including cognitive impairment (42.6%), with a mean age of 83 years (SD=9). There was no evidence of advance care planning, hence admission goals included 'Assessment', 'To establish a safe discharge destination' and 'Rehabilitation'. Recognition of patient deterioration and dying resulted in limitations of treatment in 77.8% of patients. 57.4% received terminal care guided by the available guideline and 53.7% were referred for specialist palliative care review. While the average wait time for review by the palliative care team was 0.6days (SD=0.8), 11.1% of patients died before review. Two key time points were identified, the first was information-related, representing the first documented evidence of patient deterioration towards death. The second time point was decisionrelated, representing the first documented evidence of a decision to provide end of life care. The use of unclear and ambiguous written language to communicate patient deterioration and dying may have impacted clinician understanding and delayed end of life care. Conclusion(s): Pre-hospital advance care planning is sub-optimal and should be prioritised in older people. Education is needed to improve recognition of patient deterioration and dying by clinicians. How patient deterioration and dying is documented in the medical record and communicated amongst the treating team requires further attention to facilitate timely, high quali

Importance:Despite providing an overlapping level of care, it is unknown why hospitalized older adults are transferred to long-term acute care hospitals (LTACs) vs less costly skilled nursing facilities (SNFs) for postacute care. Objective:To examine factors associated with variation in LTAC vs SNF transfer among hospitalized older adults. Design, Setting, and Participants:We conducted this retrospective observational cohort study of hospitalized older adults (≥65 years) transferred to an LTAC vs SNF during fiscal year 2012 using national 5% Medicare data. Main Outcomes and Measures:Predictors of LTAC transfer were assessed using a multilevel mixed-effects model adjusting for patient-, hospital-, and region-level factors. We estimated variation partition coefficients and adjusted hospital- and region-specific LTAC transfer rates using sequential models. Results:Among 65 525 hospitalized older adults (42 461 [64.8%] women; 39 908 [60.9%] ≥85 years) transferred to an LTAC or SNF, 3093 (4.7%) were transferred to an LTAC. We identified 29 patient-, 3 hospital-, and 5 region-level independent predictors. The strongest predictors of LTAC transfer were receiving a tracheostomy (adjusted odds ration [aOR], 23.8; 95% CI, 15.8-35.9) and being hospitalized in close proximity to an LTAC (0-2 vs >42 miles; aOR, 8.4, 95% CI, 6.1-11.5). After adjusting for case-mix, differences between patients explained 52.1% (95% CI, 47.7%-56.5%) of the variation in LTAC use. The remainder was attributable to hospital (15.0%; 95% CI, 12.3%-17.6%), and regional differences (32.9%; 95% CI, 27.6%-38.3%). Case-mix adjusted LTAC use was very high in the South (17%-37%) compared with the Pacific Northwest, North, and Northeast (<2.2%). From the full multilevel model, the median adjusted hospital LTAC transfer rate was 2.1% (10th-90th percentile, 0.24%-10.8%). Even within a region, adjusted hospital LTAC transfer rates varied substantially (intraclass correlation coefficient [ICC], 0.26; 95% CI

BackgroundThis study examines effects of mobility and multimorbidity on hospitalization and inpatient and postacute care (PAC) facility days among older men.MethodsProspective study of 1,701 men (mean age 79.3 years) participating in Osteoporotic Fractures in Men (MrOS) Study Year 7 (Y7) examination (2007-2008) linked with their Medicare claims. At Y7, mobility ascertained by usual gait speed and categorized as poor, intermediate, or good. Multimorbidity quantified by applying Elixhauser algorithm to inpatient and outpatient claims and categorized as none, mild-moderate, or high. Hospitalizations and PAC facility stays ascertained during 12 months following Y7.ResultsReduced mobility and greater multimorbidity burden were independently associated with a higher risk of inpatient and PAC facility utilization, after accounting for each other and traditional indicators. Adjusted mean total facility days per year were 1.13 (95% confidence interval [CI] = 0.74-1.40) among men with good mobility increasing to 2.43 (95% CI = 1.17-3.84) among men with poor mobility, and 0.67 (95% CI = 0.38-0.91) among men without multimorbidity increasing to 2.70 (95% CI = 1.58-3.77) among men with high multimorbidity. Men with poor mobility and high multimorbidity had a ninefold increase in mean total facility days per year (5.50, 95% CI = 2.78-10.87) compared with men with good mobility without multimorbidity (0.59, 95% CI = 0.37-0.95).ConclusionsAmong older men, mobility limitations and multimorbidity were independent predictors of higher inpatient and PAC utilization after considering each other and conventional predictors. Marked combined effects of reduced mobility and multimorbidity burden may be important to consider in clinical decision-making and planning health care delivery strategies for the growing aged population.

Objective Provision of a discharge care plan and prevention therapies is often suboptimal. Our objective was to design and pilot test an interdisciplinary, organisational intervention to improve discharge care using stroke as the case study using a mixed-methods, controlled before-after observational study design. Setting Acute care public hospitals in Queensland, Australia (n=15). The 15 hospitals were ranked against a benchmark based on a composite outcome of three discharge care processes. Clinicians from a 'top-ranked' hospital participated in a focus group to elicit their success factors. Two pilot hospitals then participated in the organisational intervention that was designed with experts and consumers. Participants Hospital clinicians involved in discharge care for stroke and patients admitted with acute stroke or transient ischaemic attack. Intervention A four-stage, multifaceted organisational intervention that included data reviews, education and facilitated action planning. Primary and secondary outcome measures Three discharge processes collected in Queensland hospitals within the Australian Stroke Clinical Registry were used to select study hospitals: (1) discharge care plan; (2) antihypertensive medication prescription and (3) antiplatelet medication prescription (ischaemic events only). Primary measure: Composite outcome. Secondary measures: Individual adherence changes for each discharge process; sensitivity analyses. The performance outcomes were compared 3 months before the intervention (preintervention), 3 months postintervention and at 12 months (sustainability). Results Data from 1289 episodes of care from the two pilot hospitals were analysed. Improvements from preintervention adherence were: Antiplatelet therapy (88%vs96%, p=0.02); antihypertensive prescription (61%vs79%, p<0.001); discharge planning (72%vs94%, p<0.001); composite outcome (73%vs89%, p<0.001). There was an insignificant decay effect over the 12-month sustainability period (com

Objective Provision of a discharge care plan and prevention therapies is often suboptimal. Our objective was to design and pilot test an interdisciplinary, organisational intervention to improve discharge care using stroke as the case study using a mixed-methods, controlled before-after observational study design. Setting Acute care public hospitals in Queensland, Australia (n=15). The 15 hospitals were ranked against a benchmark based on a composite outcome of three discharge care processes. Clinicians from a 'top-ranked' hospital participated in a focus group to elicit their success factors. Two pilot hospitals then participated in the organisational intervention that was designed with experts and consumers. Participants Hospital clinicians involved in discharge care for stroke and patients admitted with acute stroke or transient ischaemic attack. Intervention A four-stage, multifaceted organisational intervention that included data reviews, education and facilitated action planning. Primary and secondary outcome measures Three discharge processes collected in Queensland hospitals within the Australian Stroke Clinical Registry were used to select study hospitals: (1) discharge care plan; (2) antihypertensive medication prescription and (3) antiplatelet medication prescription (ischaemic events only). Primary measure: Composite outcome. Secondary measures: Individual adherence changes for each discharge process; sensitivity analyses. The performance outcomes were compared 3 months before the intervention (preintervention), 3 months postintervention and at 12 months (sustainability). Results Data from 1289 episodes of care from the two pilot hospitals were analysed. Improvements from preintervention adherence were: Antiplatelet therapy (88%vs96%, p=0.02); antihypertensive prescription (61%vs79%, p<0.001); discharge planning (72%vs94%, p<0.001); composite outcome (73%vs89%, p<0.001). There was an insignificant decay effect over the 12-month sustainability period (com

Traditional fee-for-service (FFS) Medicare's prospective payment systems for postacute care provide little incentive to coordinate care or control costs. In contrast, Medicare Advantage plans pay for postacute care out of monthly capitated payments and thus have stronger incentives to use it efficiently. We compared the use of postacute care in skilled nursing and inpatient rehabilitation facilities by enrollees in Medicare Advantage and FFS Medicare after hospital discharge for three high-volume conditions: lower extremity joint replacement, stroke, and heart failure. After accounting for differences in patient characteristics at discharge, we found lower intensity of postacute care for Medicare Advantage patients compared to FFS Medicare patients discharged from the same hospital, across all three conditions. Medicare Advantage patients also exhibited better outcomes than their FFS Medicare counterparts, including lower rates of hospital readmission and higher rates of return to the community. These findings suggest that payment reforms such as bundling in FFS Medicare may reduce the intensity of postacute care without adversely affecting patient health.

ObjectiveTo examine the extent to which accountable care organizations (ACOs) formally incorporate postacute care providers.Data sourcesThe National Survey of ACOs (N = 269, response rate 66 percent).Study designWe report statistics on ACOs' formal inclusion of postacute care providers and the organizational characteristics and clinical capabilities of ACOs that have postacute care.Principal findingsHalf of ACOs formally include at least one postacute service, with inclusion at higher rates in ACOs with commercial (64 percent) and Medicaid contracts (70 percent) compared to ACOs with Medicare contracts only (45 percent). ACOs that have a formal relationship with a postacute provider are more likely to have advanced transition management, end of life planning, readmission prevention, and care management capabilities.ConclusionsMany ACOs have not formally engaged postacute care, which may leave room to improve service integration and care management.

The purpose of this study is to add to the scientific basis for providing subacute care in the home, by testing me effects of an immediate post operative intervention designed to facilitate quality of life as well as physical and psychological well-being after diagnosis and surgery for breast cancer. A 2-group randomized clinical trial with repeated measures will examine the effects of the intervention. The control group (n=l0O) will receive customary medical care. The intervention group (n=100) will receive individual physical and psychological support in the home through 2 telephone calls and 2 in-home visits from a registered nurse within the first 14 post operative days.

Baker, C., Foster, A. M., D’Souza, S., Godecke, E., Shiggins, C., Lamborn, E., . . . Rose, M. L. (2021). Management of communication disability in the first 90 days after stroke: A scoping review. Disability and Rehabilitation. Advance online publication. https://doi.org/10.1080/09638288.2021.2012843