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Espinosa CG, Lucas T, Kern LM, Jones CD, Mroz T, Arbaje AI, Ankuda C, Taveras YH, Feldman P, Thompson MP, Sterling MR. Understanding the Perspectives of Key Stakeholders toward Medicare's Home Health Value-Based Purchasing (HHVBP) in the US. J Am Med Dir Assoc 2024; 25:105203. [PMID: 39142638 DOI: 10.1016/j.jamda.2024.105203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 08/16/2024]
Abstract
OBJECTIVES This study examines the perspectives of key stakeholders in home health toward Medicare's Home Health Value Based Purchasing (HHVBP) program, piloted among home health agencies (HHAs) in 9 states from 2016 to 2021, and based on initial performance, was expanded to the remaining 41 (nonpilot) states in January 2023. DESIGN We conducted semistructured interviews wherein we inquired participants' views toward and experiences with HHVBP. We used convenience and purposive sampling to obtain diversity in HHA size, geography, and quality. SETTING AND PARTICIPANTS We conducted interviews from July 2022 to May 2023 with HHA leaders, staff, and clinicians, advocacy and trade organization leaders, and policy experts from pilot and nonpilot states. METHODS We used thematic analysis to develop a codebook that included framework-derived, a priori, and inductive codes. We identified key themes and subthemes accordingly. RESULTS Forty-seven stakeholders representing 25 unique organizations participated: 22 (47%) from pilot states and 25 (53%) from nonpilot states; of these, 24 (51%) were HHA leaders, 13 (28%) were organizational leaders, and 10 (21%) were clinicians; 26 (55%) were centered in the Northeast, 9 (19%) in the West, 7 (15%) had a national presence, and 5 (11%) were centered across the South. Four key themes emerged. There were (1) wide variations in awareness, understanding, and attitudes toward HHVBP regardless of pilot status or stakeholder type; (2) concerns about aspects of HHVBP, including consequences for HHAs and patients; (3) a range of strategies used by HHAs to address HHVBP; (4) other concurrent issues that HHAs were navigating alongside HHVBP. CONCLUSIONS AND IMPLICATIONS Despite HHVBP's national implementation, awareness of and attitudes toward HHVBP varied across stakeholders from pilot and nonpilot states, as did efforts to address it. Although some viewed the policy favorably, others were concerned it could negatively impact HHAs and patients. Understanding the experiences of stakeholders is vital for illuminating the intended and unintended consequences of HHVBP policy.
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Affiliation(s)
| | - Taylor Lucas
- New York Presbyterian/Weill Cornell Medical Center, New York, NY
| | - Lisa M Kern
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Christine D Jones
- Division of Hospital Medicine and Division of Geriatrics, University of Colorado Denver - Anschutz Medical Campus, and Rocky Mountain Regional VA Medical Center, Aurora, CO
| | - Tracy Mroz
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA
| | - Alicia I Arbaje
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Claire Ankuda
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Penny Feldman
- Center for Home Care Policy & Research, VNS Health, New York, NY
| | - Michael P Thompson
- Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, MI
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Lu L, Wei S, Huang Q, Chen Y, Huang F, Ma X, Huang C. Effect of "Internet + tertiary hospital-primary hospital-family linkage home care" model on self-care ability and quality of life of discharged stroke patients. Am J Transl Res 2023; 15:6727-6739. [PMID: 38186986 PMCID: PMC10767543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/08/2023] [Indexed: 01/09/2024]
Abstract
OBJECTIVE To investigate the intervention effect of an "Internet + tertiary hospital-primary hospital-family linkage home care" model on the quality of life and self-care abilities of discharged stroke patients. METHODS The clinical data of 90 patients with stroke who were hospitalized and discharged from the Department of Neurology of the Affiliated Hospital of Youjiang Medical College for Nationalities from October 2020 to September 2021 were retrospectively analyzed. They were split into a control group (41 cases) and an intervention group (40 cases) based on different care modes. The intervention group was given the "Internet + tertiary hospital-primary hospital-family connection home care" paradigm, while the control group received normal nursing interventions. The degree of nerve defect, quality of life, anxiety and depression, self-care ability and exercise ability of the patients were evaluated by National Institutes of Health Stroke Scale (NIHSS), Stroke Specific Quality of Life Scale (SS-QOL), General Hospital Anxiety and Depression Scale (HADS), Self-care Ability Scale (ESCA), and Fugl-Meyer Motor Function Assessment (FMA) before discharge and at 3rd, 6th and 12th month after discharge, respectively. The re-hospitalization rate, treatment compliance and exercise ability of the two groups were compared within a year after discharge. RESULTS The scores of SS-QOL, ESCA and FMA in the intervention group increased with time, and the scores of SS-QOL, ESCA and FMA at 3rd, 6th and 12th month after discharge were higher than those in the control group (all P<0.05). The NIHSS and HADS scores decreased over time, and the NIHSS and HADS scores were lower than the control group at 12th month after discharge (P<0.05). Within a year of discharge, the intervention group had a lower rehospitalization rate than the control group (P<0.05), and the treatment compliance score was higher in the intervention group than that in the control group (P<0.05). CONCLUSION The "Internet + tertiary hospital-primary hospital-family nursing" model can improve self-care ability and treatment compliance of patients, improve their nerve defects and psychological status as well as quality of life, and reduce rehospitalization rate.
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Affiliation(s)
- Liuxue Lu
- Department of Nursing, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
| | - Suyu Wei
- “Internet Nursing Service” Office, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
| | - Quyun Huang
- Department of Neurology, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
| | - Yuke Chen
- Department of Pediatrics, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
| | - Fengxing Huang
- Department of Nursing, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
| | - Xiaoan Ma
- Department of Infectious Diseases, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
| | - Caimei Huang
- Respiratory Intensive Care Unit, Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000, Guangxi, China
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Hou Y, D'Souza K, Kucharska-Newton AM, Freburger JK, Bushnell CD, Halladay JR, Duncan PW, Trogdon JG. Postacute Expenditures Among Patients Discharged Home After Stroke or Transient Ischemic Attack: The COMprehensive Post-Acute Stroke Services (COMPASS) Trial. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:1453-1460. [PMID: 37422076 DOI: 10.1016/j.jval.2023.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 05/23/2023] [Accepted: 06/14/2023] [Indexed: 07/10/2023]
Abstract
OBJECTIVES The COMPASS (COMprehensive Post-Acute Stroke Services) pragmatic trial cluster-randomized 40 hospitals in North Carolina to the COMPASS transitional care (TC) postacute care intervention or usual care. We estimated the difference in healthcare expenditures postdischarge for patients enrolled in the COMPASS-TC model of care compared with usual care. METHODS We linked data for patients with stroke or transient ischemic attack enrolled in the COMPASS trial with administrative claims from Medicare fee-for-service (n = 2262), Medicaid (n = 341), and a large private insurer (n = 234). The primary outcome was 90-day total expenditures, analyzed separately by payer. Secondary outcomes were total expenditures 30- and 365-days postdischarge and, among Medicare beneficiaries, expenditures by point of service. In addition to intent-to-treat analysis, we conducted a per-protocol analysis to compare Medicare patients who received the intervention with those who did not, using randomization status as an instrumental variable. RESULTS We found no statistically significant difference in total 90-day postacute expenditures between intervention and usual care; the results were consistent across payers. Medicare beneficiaries enrolled in the COMPASS intervention arm had higher 90-day hospital readmission expenditures ($682, 95% CI $60-$1305), 30-day emergency department expenditures ($132, 95% CI $13-$252), and 30-day ambulatory care expenditures ($67, 95% CI $38-$96) compared with usual care. The per-protocol analysis did not yield a significant difference in 90-day postacute care expenditures for Medicare COMPASS patients. CONCLUSIONS The COMPASS-TC model did not significantly change patients' total healthcare expenditures for up to 1 year postdischarge.
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Affiliation(s)
- Yucheng Hou
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Karishma D'Souza
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anna M Kucharska-Newton
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Janet K Freburger
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cheryl D Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Jacqueline R Halladay
- Department of Family Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Pamela W Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Justin G Trogdon
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Johnson KH, Gardener H, Gutierrez C, Marulanda E, Campo-Bustillo I, Gordon Perue G, Hlaing W, Sacco R, Romano JG, Rundek T. Disparities in transitions of acute stroke care: The transitions of care stroke disparities study methodological report. J Stroke Cerebrovasc Dis 2023; 32:107251. [PMID: 37441890 PMCID: PMC10529930 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/07/2023] [Accepted: 07/07/2023] [Indexed: 07/15/2023] Open
Abstract
OBJECTIVE The Transitions of Stroke Care Disparities Study (TCSD-S) is an observational study designed to determine race-ethnic and sex disparities in post-hospital discharge transitions of stroke care and stroke outcomes and to develop hospital-level initiatives to reduce these disparities to improve stroke outcomes. MATERIALS AND METHODS Here, we present the study rationale, describe the methodology, report preliminary outcomes, and discuss a critical need for the development, implementation, and dissemination of interventions for successful post-hospital transition of stroke care. The preliminary outcomes describe the demographic, stroke risk factor, socioeconomic, and acute care characteristics of eligible participants by race-ethnicity and sex. We also report on all-cause and vascular-related death, readmissions, and hospital/emergency room representations at 30- and 90-days after hospital discharge. RESULTS The preliminary sample included data from 1048 ischemic stroke and intracerebral hemorrhage discharged from 10 comprehensive stroke centers across the state of Florida. The overall sample was 45% female, 22% Non-Hispanic Black and 21% Hispanic participants, with an average age of 64 ± 14 years. All cause death, readmissions, or hospital/emergency room representations are 10% and 19% at 30 and 90 days, respectively. One in 5 outcomes was vascular-related. CONCLUSIONS This study highlights the transition from stroke hospitalization as an area in need for considerable improvement in systems of care for stroke patients discharged from hospital. Results from our preliminary analysis highlight the importance of investigating race-ethnic and sex differences in post-stroke outcomes.
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Affiliation(s)
- Karlon H Johnson
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA.
| | - Hannah Gardener
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Carolina Gutierrez
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Erika Marulanda
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Iszet Campo-Bustillo
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Gillian Gordon Perue
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - WayWay Hlaing
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Ralph Sacco
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Jose G Romano
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Tatjana Rundek
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
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Mavragani A, Duncan PW, Thakur E, Puccinelli-Ortega N, Salsman JM, Russell G, Pasche BC, Wentworth S, Miller DP, Wagner LI, Topaloglu U. Adaptation of a Personalized Electronic Care Planning Tool for Cancer Follow-up Care: Formative Study. JMIR Form Res 2023; 7:e41354. [PMID: 36626203 PMCID: PMC9893883 DOI: 10.2196/41354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/03/2022] [Accepted: 11/29/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Most patients diagnosed with colorectal cancer will survive for at least 5 years; thus, engaging patients to optimize their health will likely improve outcomes. Clinical guidelines recommend patients receive a comprehensive care plan (CP) when transitioning from active treatment to survivorship, which includes support for ongoing symptoms and recommended healthy behaviors. Yet, cancer care providers find this guideline difficult to implement. Future directions for survivorship care planning include enhancing information technology support for developing personalized CPs, using CPs to facilitate self-management, and assessing CPs in clinical settings. OBJECTIVE We aimed to develop an electronic tool for colorectal cancer follow-up care (CFC) planning. METHODS Incorporating inputs from health care professionals and patient stakeholders is fundamental to the successful integration of any tool into the clinical workflow. Thus, we followed the Integrate, Design, Assess, and Share (IDEAS) framework to adapt an existing application for stroke care planning (COMPASS-CP) to meet the needs of colorectal cancer survivors (COMPASS-CP CFC). Constructs from the Consolidated Framework for Implementation Research (CFIR) guided our approach. We completed this work in 3 phases: (1) gathering qualitative feedback from stakeholders about the follow-up CP generation design and workflow; (2) adapting algorithms and resource data sources needed to generate a follow-up CP; and (3) optimizing the usability of the adapted prototype of COMPASS-CP CFC. We also quantitatively measured usability (target average score ≥70; range 0-100), acceptability, appropriateness, and feasibility. RESULTS In the first phase, health care professionals (n=7), and patients and caregivers (n=7) provided qualitative feedback on COMPASS-CP CFC that informed design elements such as selection, interpretation, and clinical usefulness of patient-reported measures. In phase 2, we built a minimal viable product of COMPASS-CP CFC. This tool generated CPs based on the needs identified by patient-completed measures (including validated patient-reported outcomes) and electronic health record data, which were then matched with resources by zip code and preference to support patients' self-management. Elements of the CFIR assessed revealed that most health care professionals believed the tool would serve patients' needs and had advantages. In phase 3, the average System Usability Scale score was above our target score for health care professionals (n=5; mean 71.0, SD 15.2) and patients (n=5; mean 95.5, SD 2.1). Participants also reported high levels of acceptability, appropriateness, and feasibility. Additional CFIR-informed feedback, such as desired format for training, will inform future studies. CONCLUSIONS The data collected in this study support the initial usability of COMPASS-CP CFC and will inform the next steps for implementation in clinical care. COMPASS-CP CFC has the potential to streamline the implementation of personalized CFC planning to enable systematic access to resources that will support self-management. Future research is needed to test the impact of COMPASS-CP CFC on patient health outcomes.
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Affiliation(s)
| | - Pamela W Duncan
- Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | | | | | - John M Salsman
- Wake Forest University School of Medicine, Winston-Salem, NC, United States.,Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States
| | - Greg Russell
- Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Boris C Pasche
- Wake Forest University School of Medicine, Winston-Salem, NC, United States.,Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States
| | - Stacy Wentworth
- Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States
| | - David P Miller
- Wake Forest University School of Medicine, Winston-Salem, NC, United States.,Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States
| | - Lynne I Wagner
- Wake Forest University School of Medicine, Winston-Salem, NC, United States.,Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States
| | - Umit Topaloglu
- Wake Forest University School of Medicine, Winston-Salem, NC, United States.,Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, United States
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Lai B, Shen L, Ye S, Shen X, Zhou D, Guo X, Zhou H, Pan Y, Tong J. Influence of continuity of care on self-management ability and quality of life in outpatient maintenance hemodialysis patients. Ther Apher Dial 2022; 26:1166-1173. [PMID: 35043556 PMCID: PMC9790337 DOI: 10.1111/1744-9987.13800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 10/26/2021] [Accepted: 12/02/2021] [Indexed: 12/30/2022]
Abstract
INTRODUCTION The objective of this study was to evaluate the effect of continuity of care on self-management ability and quality of life (QOL) in patients undergoing maintenance hemodialysis (MHD). METHODS One hundred patients were randomly assigned to the observation group and the control group. In the observation group, patients received a 12-month continuity of care. In the control group, patients were given with routine nursing. Evaluate the patients' self-management ability and QOL between two groups 1 week before discharge and 6 and 12 months outpatient MHD. RESULTS Observation group had higher Hemodialysis Self-Management Instrument (HD-SMI) scores and Kidney Disease Quality of Life-Short Form (KDQOL-SF™) scores than control group at 6 and 12 months outpatient MHD. But patients in observation group had a much lower systolic blood pressure than those in control group at 12 months outpatient MHD. CONCLUSIONS Our study suggested that continuity of care in the form of online education, telephone visit, and outpatient visit could improve self-management ability and QOL of patients undergoing MHD.
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Affiliation(s)
- Bihong Lai
- Department of Nursing, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
| | - Li Shen
- Department of Nursing, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
| | - Shuiying Ye
- Department of Nursing, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
| | - Xia Shen
- Department of Nursing, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
| | - Dongchi Zhou
- Department of NephrologyShanghai Pudong Hospital, Fudan University Pudong Medical CenterShanghaiChina
| | - Xiaocui Guo
- Department of Nursing, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
| | - Huaxian Zhou
- Department of Nursing, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
| | - Yangbin Pan
- Department of NephrologyShanghai Pudong Hospital, Fudan University Pudong Medical CenterShanghaiChina
| | - Jindong Tong
- Department of Vascular SurgeryShanghai Pudong Hospital, Fudan University Pudong Medical CenterShanghaiChina
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Yang R, Xu Y, Hou W, Wang L, Xiao S, Li C, Shao H, Fei X, Wang Z. Transitional Care for Patients With Portal Hypertension: A Multicenter Study of Intervention for Post-TIPS Patients. Clin Nurs Res 2022; 32:785-796. [PMID: 36047431 DOI: 10.1177/10547738221112746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
To explore the application effect of transitional nursing in patients with TIPS. A total of 368 patients were allocated to control group (conventional care) and intervention group (conventional care combined with transitional care). The Child-Pugh scores, blood ammonia levels, compliance behavior, medication compliance, and adverse event incidence rates were compared at 1, 3, 6, 9, and 12 months post-TIPS. There were significant differences in compliance behavior scores, Child-Pugh scores for group effects, time effects, and group × time interaction between the two groups at 1, 3, 6, 9, and 12 months post-TIPS, significant differences in blood ammonia levels at 9 months, and incidence of postoperative adverse events at 12 months after TIPS. Post-TIPS transitional care interventions increased patients' access to scientifically informed nursing, significantly improved patients' compliance behavior and health and decreased the incidence of postoperative adverse events.
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Affiliation(s)
- Rumei Yang
- Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital Luwan Branch, China
| | - Yin Xu
- Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital Luwan Branch, China
| | | | - Ling Wang
- Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital Luwan Branch, China
| | - Shuping Xiao
- Union Medical College Hospital Affiliated with Huazhong Medical University, Wuhan, China
| | - Chunhong Li
- The First Affiliated Hospital of Guangzhou Sun Yat-sen University, China
| | - Hongyan Shao
- Affiliated Cancer Hospital of Guangzhou Sun Yat-sen University, China
| | - Xiaoyan Fei
- Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital Luwan Branch, China
| | - Zhongmin Wang
- Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital Luwan Branch, China
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Okpechi IG, Hariramani VK, Sultana N, Ghimire A, Zaidi D, Muneer S, Tinwala MM, Ye F, Sebastianski M, Abdulrahman A, Braam B, Jindal K, Khan M, Klarenbach S, Shojai S, Thompson S, Bello AK. The impact of community-based non-pharmacological interventions on cardiovascular and kidney disease outcomes in remote dwelling Indigenous communities: A scoping review protocol. PLoS One 2022; 17:e0269839. [PMID: 35687551 PMCID: PMC9187124 DOI: 10.1371/journal.pone.0269839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 05/27/2022] [Indexed: 11/26/2022] Open
Abstract
Introduction Indigenous people represent approximately 5% of the world’s population. However, they often have a disproportionately higher burden of cardiovascular disease (CVD) risk and chronic kidney disease (CKD) than their equivalent general population. Several non-pharmacological interventions (e.g., educational) have been used to reduce CVD and kidney disease risk factors in Indigenous groups. The aim of this paper is to describe the protocol for a scoping review that will assess the impact of non-pharmacological interventions carried out in Indigenous and remote dwelling populations to reduce CVD risk factors and CKD. Materials and methods This scoping review will be guided by the methodological framework for conducting scoping studies developed by Arksey and O’Malley. Both empirical (Medline, Embase, Cochrane Library, CINAHL, ISI Web of Science and PsycINFO) and grey literature references will be assessed if they focused on interventions targeted at reducing CVD or CKD among Indigenous groups. Two reviewers will independently screen references in consecutive stages of title/abstract screening and then full-text screening. Impact of interventions used will be assessed using the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework. A descriptive overview, tabular summaries, and content analysis will be carried out on the extracted data. Ethics and dissemination This review will collect and analyse evidence on the impact of interventions of research carried out to reduce CVD and CKD among Indigenous populations. Such evidence will be disseminated using traditional approaches that includes open-access peer-reviewed publication, scientific presentations, and a report. Also, we will disseminate our findings to the government and Indigenous leaders. Ethical approval will not be required for this scoping review as the data used will be extracted from already published studies with publicly accessible data.
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Affiliation(s)
- Ikechi G. Okpechi
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
- Division of Nephrology and Hypertension, University of Cape Town, Cape Town, South Africa
- Kidney and Hypertension Research Unit, University of Cape Town, Cape Town, South Africa
| | - Vinash Kumar Hariramani
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Naima Sultana
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Anukul Ghimire
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Deenaz Zaidi
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Shezel Muneer
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Mohammed M. Tinwala
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Feng Ye
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Megan Sebastianski
- Knowledge Translation Platform, Alberta SPOR SUPPORT Unit Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Abdullah Abdulrahman
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Branko Braam
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Kailash Jindal
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Maryam Khan
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Scott Klarenbach
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Soroush Shojai
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Stephanie Thompson
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Aminu K. Bello
- Division of Nephrology and Immunology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
- * E-mail:
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Lutz BJ, Kucharska-Newton AM, Jones SB, Psioda MA, Gesell SB, Coleman SW, Johnson AM, Radman MD, Levy S, Bettger JP, Freburger JK, Chou A, Celestino J, Rosamond WD, Bushnell CD, Duncan PW. Familial caregiving following stroke: findings from the comprehensive post-acute stroke services (COMPASS) pragmatic cluster-randomized transitional care study. Top Stroke Rehabil 2022; 30:436-447. [PMID: 35603644 DOI: 10.1080/10749357.2022.2077520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Stroke patients discharged home often require prolonged assistance from caregivers. Little is known about the real-world effectiveness of a comprehensive stroke transitional care intervention on relieving caregiver strain. OBJECTIVES To describe the effect of the COMPASS transitional care (COMPASS-TC) intervention on caregiver strain and characterize the types, duration, and intensity of caregiving. METHODS The cluster-randomized COMPASS pragmatic trial evaluated the effectiveness of COMPASS-TC versus usual care with patients with mild stroke and TIA at 40 hospitals in North Carolina, USA. Of 5882 patients enrolled, 4208 (71%) identified a familial caregiver. A follow-up Caregiver Questionnaire, including the Modified Caregiver Strain Index, was administered at approximately three months post-discharge. Demographics and frequency, duration, and intensity of caregiving were compared between groups. RESULTS 1228 caregivers (29%) completed the questionnaire. Completion was positively associated with older patient age, white race, and spousal relationship. One-third of the caregivers provided ≥30 hours of care per week and 889 (79%) provided care ≥9 weeks. Average standardized caregiver strain was 21.9 (0-100), increasing with stroke severity and comorbidity burden. Women caregivers reported higher strain than men. Treatment allocation was not associated with caregiver strain. CONCLUSIONS This sample of mild stroke and TIA survivors received significant assistance from familial caregivers. However, caregiver strain was relatively low. Findings support the importance of familial caregiving in stroke, the continued disproportionate burden on women within the family, and the need for future research on caregiver support.
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Affiliation(s)
- Barbara J. Lutz
- School of Nursing, College of Health and Human Services, University of North Carolina Wilmington, Wilmington, North Carolina, USA
| | - Anna M. Kucharska-Newton
- College of Public Health, University of Kentucky, Lexington, Kentucky, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Sara B. Jones
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Matthew A. Psioda
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Sabina B. Gesell
- Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Sylvia W. Coleman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Anna M. Johnson
- College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | - Meghan D Radman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Samantha Levy
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | | | - Janet K Freburger
- Department of Physical Therapy, School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, USA
| | - Aileen Chou
- Department of Physical Therapy, School of Health and Rehabilitation Science, University of Pittsburgh, Pittsburgh, USA
| | - Joan Celestino
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Wayne D. Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Cheryl D. Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Pamela W. Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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10
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Singh H, Tang T, Steele Gray C, Kokorelias K, Thombs R, Plett D, Heffernan M, Jarach CM, Armas A, Law S, Cunningham HV, Nie JX, Ellen ME, Thavorn K, Nelson MLA. Recommendations for the Design and Delivery of Transitions-Focused Digital Health Interventions: Rapid Review. JMIR Aging 2022; 5:e35929. [PMID: 35587874 PMCID: PMC9164100 DOI: 10.2196/35929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/06/2022] [Indexed: 12/02/2022] Open
Abstract
Background Older adults experience a high risk of adverse events during hospital-to-home transitions. Implementation barriers have prevented widespread clinical uptake of the various digital health technologies that aim to support hospital-to-home transitions. Objective To guide the development of a digital health intervention to support transitions from hospital to home (the Digital Bridge intervention), the specific objectives of this review were to describe the various roles and functions of health care providers supporting hospital-to-home transitions for older adults, allowing future technologies to be more targeted to support their work; describe the types of digital health interventions used to facilitate the transition from hospital to home for older adults and elucidate how these interventions support the roles and functions of providers; describe the lessons learned from the design and implementation of these interventions; and identify opportunities to improve the fit between technology and provider functions within the Digital Bridge intervention and other transition-focused digital health interventions. Methods This 2-phase rapid review involved a selective review of providers’ roles and their functions during hospital-to-home transitions (phase 1) and a structured literature review on digital health interventions used to support older adults’ hospital-to-home transitions (phase 2). During the analysis, the technology functions identified in phase 2 were linked to the provider roles and functions identified in phase 1. Results In phase 1, various provider roles were identified that facilitated hospital-to-home transitions, including navigation-specific roles and the roles of nurses and physicians. The key transition functions performed by providers were related to the 3 categories of continuity of care (ie, informational, management, and relational continuity). Phase 2, included articles (n=142) that reported digital health interventions targeting various medical conditions or groups. Most digital health interventions supported management continuity (eg, follow-up, assessment, and monitoring of patients’ status after hospital discharge), whereas informational and relational continuity were the least supported. The lessons learned from the interventions were categorized into technology- and research-related challenges and opportunities and informed several recommendations to guide the design of transition-focused digital health interventions. Conclusions This review highlights the need for Digital Bridge and other digital health interventions to align the design and delivery of digital health interventions with provider functions, design and test interventions with older adults, and examine multilevel outcomes. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2020-045596
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Affiliation(s)
- Hardeep Singh
- Department of Occupational Science & Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,March of Dimes Canada, Toronto, ON, Canada.,Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Terence Tang
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Carolyn Steele Gray
- Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Kristina Kokorelias
- St. John's Rehab Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Rachel Thombs
- Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Donna Plett
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Matthew Heffernan
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Carlotta M Jarach
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Alana Armas
- March of Dimes Canada, Toronto, ON, Canada.,Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Susan Law
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Jason Xin Nie
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada
| | - Moriah E Ellen
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Department of Health Policy and Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Kednapa Thavorn
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Michelle LA Nelson
- March of Dimes Canada, Toronto, ON, Canada.,Collaboratory for Research and Innovation, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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11
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Bettger JP, Cadilhac DA. Stroke Care Costs and Cost-Effectiveness to Inform Health Policy. Stroke 2022; 53:2078-2081. [PMID: 35514281 DOI: 10.1161/strokeaha.122.037451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Janet Prvu Bettger
- Department of Orthopaedics, Duke Roybal Center on Aging, Duke-Margolis Center for Health Policy, Duke University, Durham, NC (J.P.B.)
| | - Dominique A Cadilhac
- Department of Medicine, Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia (D.A.C.).,Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Victoria, Australia (D.A.C.)
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12
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Fakha A, de Boer B, van Achterberg T, Hamers J, Verbeek H. Fostering the implementation of transitional care innovations for older persons: prioritizing the influencing key factors using a modified Delphi technique. BMC Geriatr 2022; 22:131. [PMID: 35172760 PMCID: PMC8848680 DOI: 10.1186/s12877-021-02672-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/26/2021] [Indexed: 12/03/2022] Open
Abstract
Background Transitions in care for older persons requiring long-term care are common and often problematic. Therefore, the implementation of transitional care innovations (TCIs) aims to improve necessary or avert avoidable care transitions. Various factors were recognized as influencers to the implementation of TCIs. This study aims to gain consensus on the relative importance level and the feasibility of addressing these factors with implementation strategies from the perspectives of experts. This work is within TRANS-SENIOR, an innovative research network focusing on care transitions. Methods A modified Delphi study was conducted with international scientific and practice-based experts, recruited using purposive and snowballing methods, from multiple disciplinary backgrounds, including implementation science, transitional care, long-term care, and healthcare innovations. This study was built on the findings of a previously conducted scoping review, whereby 25 factors (barriers, facilitators) influencing the implementation of TCIs were selected for the first Delphi round. Two sequential rounds of anonymous online surveys using an a priori consensus level of > 70% and a final expert consultation session were performed to determine the implementation factors’: i) direction of influence, ii) importance, and iii) feasibility to address with implementation strategies. The survey design was guided by the Consolidated Framework for Implementation Research (CFIR). Data were collected using Qualtrics software and analyzed with descriptive statistics and thematic analysis. Results Twenty-nine experts from 10 countries participated in the study. Eleven factors were ranked as of the highest importance among those that reached consensus. Notably, organizational and process-related factors, including engagement of leadership and key stakeholders, availability of resources, sense of urgency, and relative priority, showed to be imperative for the implementation of TCIs. Nineteen factors reached consensus for feasibility of addressing them with implementation strategies; however, the majority were rated as difficult to address. Experts indicated that it was hard to rate the direction of influence for all factors. Conclusions Priority factors influencing the implementation of TCIs were mostly at the organizational and process levels. The feasibility to address these factors remains difficult. Alternative strategies considering the interaction between the organizational context and the outer setting holds a potential for enhancing the implementation of TCIs. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02672-2.
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Affiliation(s)
- Amal Fakha
- CAPHRI Care and Public Health Research Institute, Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands. .,Living Lab in Ageing and Long-Term Care, Maastricht, the Netherlands. .,KU Leuven, Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, Kapucijnenvoer 35, 3000, Leuven, Belgium.
| | - Bram de Boer
- CAPHRI Care and Public Health Research Institute, Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.,Living Lab in Ageing and Long-Term Care, Maastricht, the Netherlands
| | - Theo van Achterberg
- KU Leuven, Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, Kapucijnenvoer 35, 3000, Leuven, Belgium
| | - Jan Hamers
- CAPHRI Care and Public Health Research Institute, Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.,Living Lab in Ageing and Long-Term Care, Maastricht, the Netherlands
| | - Hilde Verbeek
- CAPHRI Care and Public Health Research Institute, Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.,Living Lab in Ageing and Long-Term Care, Maastricht, the Netherlands
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13
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Olson MB, McCreedy EM, Baier RR, Shield RR, Zediker EE, Uth R, Thomas KS, Mor V, Gutman R, Rudolph JL. Measuring implementation fidelity in a cluster-randomized pragmatic trial: development and use of a quantitative multi-component approach. Trials 2022; 23:43. [PMID: 35033176 PMCID: PMC8761354 DOI: 10.1186/s13063-022-06002-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 01/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In pragmatic trials, on-site partners, rather than researchers, lead intervention delivery, which may result in implementation variation. There is a need to quantitatively measure this variation. Applying the Framework for Implementation Fidelity (FIF), we develop an approach for measuring variability in site-level implementation fidelity. This approach is then applied to measure site-level fidelity in a cluster-randomized pragmatic trial of Music & MemorySM (M&M), a personalized music intervention targeting agitated behaviors in residents living with dementia, in US nursing homes (NHs). METHODS Intervention NHs (N = 27) implemented M&M using a standardized manual, utilizing provided staff trainings and iPods for participating residents. Quantitative implementation data, including iPod metadata (i.e., song title, duration, number of plays), were collected during baseline, 4-month, and 8-month site visits. Three researchers developed four FIF adherence dimension scores. For Details of Content, we independently reviewed the implementation manual and reached consensus on six core M&M components. Coverage was the total number of residents exposed to the music at each NH. Frequency was the percent of participating residents in each NH exposed to M&M at least weekly. Duration was the median minutes of music received per resident day exposed. Data elements were scaled and summed to generate dimension-level NH scores, which were then summed to create a Composite adherence score. NHs were grouped by tercile (low-, medium-, high-fidelity). RESULTS The 27 NHs differed in size, resident composition, and publicly reported quality rating. The Composite score demonstrated significant variation across NHs, ranging from 4.0 to 12.0 [8.0, standard deviation (SD) 2.1]. Scaled dimension scores were significantly correlated with the Composite score. However, dimension scores were not highly correlated with each other; for example, the correlation of the Details of Content score with Coverage was τb = 0.11 (p = 0.59) and with Duration was τb = - 0.05 (p = 0.78). The Composite score correlated with CMS quality star rating and presence of an Alzheimer's unit, suggesting face validity. CONCLUSIONS Guided by the FIF, we developed and used an approach to quantitatively measure overall site-level fidelity in a multi-site pragmatic trial. Future pragmatic trials, particularly in the long-term care environment, may benefit from this approach. TRIAL REGISTRATION Clinicaltrials.gov NCT03821844. Registered on 30 January 2019, https://clinicaltrials.gov/ct2/show/NCT03821844 .
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Affiliation(s)
- Miranda B Olson
- Center for Long-Term Care Quality & Innovation, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA.
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA.
| | - Ellen M McCreedy
- Center for Long-Term Care Quality & Innovation, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Rosa R Baier
- Center for Long-Term Care Quality & Innovation, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Renée R Shield
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Esme E Zediker
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Rebecca Uth
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - Kali S Thomas
- Center for Long-Term Care Quality & Innovation, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- US Department of Veterans Affairs Medical Center, 830 Chalkstone Ave., Providence, RI, 02908, USA
| | - Vincent Mor
- Center for Long-Term Care Quality & Innovation, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- US Department of Veterans Affairs Medical Center, 830 Chalkstone Ave., Providence, RI, 02908, USA
| | - Roee Gutman
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Biostatistics, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
| | - James L Rudolph
- Center for Long-Term Care Quality & Innovation, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, 121 South Main St., Providence, RI, 02912, USA
- US Department of Veterans Affairs Medical Center, 830 Chalkstone Ave., Providence, RI, 02908, USA
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14
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Callahan KE. Challenges and Facilitators in Implementing a Focus on Function in Structured Clinical Settings. THE PUBLIC POLICY AND AGING REPORT 2021; 32:13-18. [PMID: 35127104 PMCID: PMC8803265 DOI: 10.1093/ppar/prab028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Indexed: 12/25/2022]
Affiliation(s)
- Kathryn E Callahan
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA,Address correspondence to: Kathryn E. Callahan, MD, MS, Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157 USA. E-mail:
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15
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Bushnell CD, Kucharska-Newton AM, Jones SB, Psioda MA, Johnson AM, Daras LC, Halladay JR, Prvu Bettger J, Freburger JK, Gesell SB, Coleman SW, Sissine ME, Wen F, Hunt GP, Rosamond WD, Duncan PW. Hospital Readmissions and Mortality Among Fee-for-Service Medicare Patients With Minor Stroke or Transient Ischemic Attack: Findings From the COMPASS Cluster-Randomized Pragmatic Trial. J Am Heart Assoc 2021; 10:e023394. [PMID: 34730000 PMCID: PMC9075395 DOI: 10.1161/jaha.121.023394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Mortality and hospital readmission rates may reflect the quality of acute and postacute stroke care. Our aim was to investigate if, compared with usual care (UC), the COMPASS-TC (Comprehensive Post-Acute Stroke Services Transitional Care) intervention (INV) resulted in lower all-cause and stroke-specific readmissions and mortality among patients with minor stroke and transient ischemic attack discharged from 40 diverse North Carolina hospitals from 2016 to 2018. Methods and Results Using Medicare fee-for-service claims linked with COMPASS cluster-randomized trial data, we performed intention-to-treat analyses for 30-day, 90-day, and 1-year unplanned all-cause and stroke-specific readmissions and all-cause mortality between INV and UC groups, with 90-day unplanned all-cause readmissions as the primary outcome. Effect estimates were determined via mixed logistic or Cox proportional hazards regression models adjusted for age, sex, race, stroke severity, stroke diagnosis, and documented history of stroke. The final analysis cohort included 1069 INV and 1193 UC patients (median age 74 years, 80% White, 52% women, 40% with transient ischemic attack) with median length of hospital stay of 2 days. The risk of unplanned all-cause readmission was similar between INV versus UC at 30 (9.9% versus 8.7%) and 90 days (19.9% versus 18.9%), respectively. No significant differences between randomization groups were seen in 1-year all-cause readmissions, stroke-specific readmissions, or mortality. Conclusions In this pragmatic trial of patients with complex minor stroke/transient ischemic attack, there was no difference in the risk of readmission or mortality with COMPASS-TC relative to UC. Our study could not conclusively determine the reason for the lack of effectiveness of the INV. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02588664.
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Affiliation(s)
| | - Anna M Kucharska-Newton
- Department of Epidemiology College of Public Health University of Kentucky Lexington KY.,Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill NC
| | - Sara B Jones
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill NC
| | - Matthew A Psioda
- Department of Biostatistics Gillings School of Global Public Health University of North Carolina at Chapel Hill NC
| | - Anna M Johnson
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill NC
| | | | - Jacqueline R Halladay
- Department of Family Medicine University of North Carolina School of Medicine Chapel Hill NC
| | | | - Janet K Freburger
- Department of Physical Therapy School of Health and Rehabilitation Sciences University of Pittsburgh PA
| | - Sabina B Gesell
- Division of Public Health Sciences Department of Social Sciences and Health Policy Wake Forest School of Medicine Winston-Salem NC
| | - Sylvia W Coleman
- Department of Neurology Wake Forest Baptist Health Winston-Salem NC
| | - Mysha E Sissine
- Department of Neurology Wake Forest Baptist Health Winston-Salem NC
| | - Fang Wen
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill NC
| | - Gary P Hunt
- Cecil G Sheps Center for Health Services Research University of North Carolina at Chapel Hill NC
| | - Wayne D Rosamond
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill NC
| | - Pamela W Duncan
- Department of Neurology Wake Forest Baptist Health Winston-Salem NC
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16
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Freburger JK, Pastva AM, Coleman SW, Peter KM, Kucharska-Newton AM, Johnson AM, Psioda MA, Duncan PW, Bushnell CD, Rosamond WD, Jones SB. Skilled Nursing and Inpatient Rehabilitation Facility Use by Medicare Fee-for-Service Beneficiaries s Discharged Home following a Stroke: Findings from the COMPASS Trial. Arch Phys Med Rehabil 2021; 103:882-890.e2. [PMID: 34740596 DOI: 10.1016/j.apmr.2021.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/29/2021] [Accepted: 10/06/2021] [Indexed: 11/02/2022]
Abstract
OBJECTIVES To examine the effect of a comprehensive transitional care model on the utilization of skilled nursing facility (SNF) and inpatient rehabilitation facility (IRF) care in the 12 months after acute care discharge home following stroke; and to identify predictors of experiencing a SNF or IRF admission following discharge home after stroke. DESIGN Cluster randomized pragmatic trial Setting: 41 acute care hospitals in North Carolina. PARTICIPANTS 2,262 Medicare fee-for-service beneficiaries with transient ischemic attack or stroke discharged home. The sample was 80.3% White and 52.1% female, with a mean (standard deviation [SD]) age of 74.9 (10.2) years and a mean (SD) NIH stroke scale score of 2.3 (3.7). INTERVENTION Comprehensive transitional care model (COMPASS-TC) which consisted of a 2-day follow-up phone call from the post-acute care coordinator (PAC) and 14-day in-person visit with the PAC and advanced practice provider. MAIN OUTCOME MEASURES Time to first SNF or IRF and SNF or IRF admission (yes/no) in the 12 months following discharge home. All analyses utilized multivariable mixed models including a hospital-specific random effect to account for the non-independence of measures within hospital. Intent to treat analyses using Cox proportional hazards regression assessed the effect of COMPASS-TC on time to SNF/IRF admission. Logistic regression was used to identify clinical and non-clinical predictors of SNF/IRF admission. RESULTS Only 34% of patients in the intervention arm received COMPASS-TC per protocol. COMPASS-TC was not associated with a reduced hazard of a SNF/ IRF admission in the 12 months post-discharge (HR=1.20 [0.95 - 1.52]) compared to usual care. This estimate was robust to additional covariate adjustment (HR=1.23 [0.93-1.64]). Both clinical and non-clinical factors (i.e., insurance, geography) were predictors of SNF/IRF use. CONCLUSIONS COMPASS-TC was not consistently incorporated into real-world clinical practice. The use of a comprehensive transitional care model for patients discharged home after stroke was not associated with SNF or IRF admissions in a 12-month follow-up period. Non-clinical factors predictive of SNF/IRF use suggest potential issues with access to this type of care.
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Affiliation(s)
- Janet K Freburger
- School of Health and Rehabilitation Sciences, University of Pittsburgh, Bridgeside Point 1, Suite 210, 100 Technology Dr, Pittsburgh, PA 15219-3130.
| | - Amy M Pastva
- Duke University School of Medicine, DUMC Box 104002, 311 Trent Drive, Durham, NC, 27710
| | - Sylvia W Coleman
- Department of Neurology, Wake Forest Baptist Health, Medical Center Blvd, Winston-Salem, NC, 27157
| | - Kennedy M Peter
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599
| | - Anna M Kucharska-Newton
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599; Department of Epidemiology, College of Public Health, University of Kentucky, 111 Washington Ave, Lexington, KY, 40536
| | - Anna M Johnson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599
| | - Matthew A Psioda
- Department of Biostatistics, Gillings School of Global Public Health, 135 University of North Carolina at Chapel Hill, Dauer Dr, Chapel Hill, NC 27599
| | - Pamela W Duncan
- Department of Neurology, Wake Forest Baptist Health, Medical Center Blvd, Winston-Salem, NC, 27157
| | - Cheryl D Bushnell
- Department of Neurology, Wake Forest Baptist Health, Medical Center Blvd, Winston-Salem, NC, 27157
| | - Wayne D Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599
| | - Sara B Jones
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599
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Brock J, Jencks SF, Hayes RK. Future Directions in Research to Improve Care Transitions From Hospital Discharge. Med Care 2021; 59:S401-S404. [PMID: 34228023 PMCID: PMC8263143 DOI: 10.1097/mlr.0000000000001590] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
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18
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Psioda MA, Jones SB, Xenakis JG, D’Agostino RB. Methodological Challenges and Statistical Approaches in the COMprehensive Post-Acute Stroke Services Study. Med Care 2021; 59:S355-S363. [PMID: 34228017 PMCID: PMC8263146 DOI: 10.1097/mlr.0000000000001580] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND The COMprehensive Post-Acute Stroke Services study was a cluster-randomized pragmatic trial designed to evaluate a comprehensive care transitions model versus usual care. The data collected during this trial were complex and analysis methodology was required that could simultaneously account for the cluster-randomized design, missing patient-level covariates, outcome nonresponse, and substantial nonadherence to the intervention. OBJECTIVE The objective of this study was to discuss an array of complementary statistical methods to evaluate treatment effectiveness that appropriately addressed the challenges presented by the complex data arising from this pragmatic trial. METHODS We utilized multiple imputation combined with inverse probability weighting to account for missing covariate and outcome data in the estimation of intention-to-treat effects (ITT). The ITT estimand reflects the effectiveness of assignment to the COMprehensive Post-Acute Stroke Services intervention compared with usual care (ie, it does not take into account intervention adherence). Per-protocol analyses provide complementary information about the effect of treatment, and therefore are relevant for patients to inform their decision-making. We describe estimation of the complier average causal effect using an instrumental variables approach through 2-stage least squares estimation. For all preplanned analyses, we also discuss additional sensitivity analyses. DISCUSSION Pragmatic trials are well suited to inform clinical practice. Care should be taken to proactively identify the appropriate balance between control and pragmatism in trial design. Valid estimation of ITT and per-protocol effects in the presence of complex data requires application of appropriate statistical methods and concerted efforts to ensure high-quality data are collected.
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Affiliation(s)
- Matthew A. Psioda
- Department of Biostatistics, Collaborative Studies Coordinating Center
| | - Sara B. Jones
- Department of Epidemiology, Gillings School of Global Public Health
| | - James G. Xenakis
- Department of Genetics, University of North Carolina, Chapel Hill
| | - Ralph B. D’Agostino
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
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Hou Y, Bushnell CD, Duncan PW, Kucharska-Newton AM, Halladay JR, Freburger JK, Trogdon JG. Hospital to Home Transition for Patients With Stroke Under Bundled Payments. Arch Phys Med Rehabil 2021; 102:1658-1664. [PMID: 33811853 PMCID: PMC10152978 DOI: 10.1016/j.apmr.2021.03.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 02/19/2021] [Accepted: 03/02/2021] [Indexed: 11/29/2022]
Abstract
Bundled payments are a promising alternative payment model for reducing costs and improving the coordination of postacute stroke care, yet there is limited evidence supporting the effectiveness of bundled payments for stroke. This may be due to the lack of effective strategies to address the complex needs of stroke survivors. In this article, we describe COMprehensive Post-Acute Stroke Services (COMPASS), a comprehensive transitional care intervention focused on discharge from the acute care setting to home. COMPASS may serve as a potential care redesign strategy under bundled payments for stroke, such as the Centers for Medicare & Medicaid Innovation Bundled Payment for Care Improvement Initiative. The COMPASS care model is aligned with the incentive structures and essential components of bundled payments in terms of care coordination, patient assessment, patient and family involvement, and continuity of care. Ongoing evaluation will inform the design of incorporating COMPASS-like transitional care interventions into a stroke bundle.
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Affiliation(s)
- Yucheng Hou
- Department of Health Policy and Management, Gillings School of Global Public Health, the University of North Carolina at Chapel Hill, Chapel Hill, NC.
| | - Cheryl D Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC
| | - Pamela W Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston Salem, NC
| | - Anna M Kucharska-Newton
- Department of Epidemiology, Gillings School of Global Public Health, the University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY
| | - Jacqueline R Halladay
- Department of Family Medicine, UNC School of Medicine, the University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Janet K Freburger
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA
| | - Justin G Trogdon
- Department of Health Policy and Management, Gillings School of Global Public Health, the University of North Carolina at Chapel Hill, Chapel Hill, NC
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20
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Duncan PW, Bushnell C, Sissine M, Coleman S, Lutz BJ, Johnson AM, Radman M, Pvru Bettger J, Zorowitz RD, Stein J. Comprehensive Stroke Care and Outcomes: Time for a Paradigm Shift. Stroke 2020; 52:385-393. [PMID: 33349012 DOI: 10.1161/strokeaha.120.029678] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Worldwide, stroke is prevalent, costly, and disabling in >80 million survivors. The burden of stroke is increasing despite incredible progress and advancements in evidence-based acute care therapies and despite the substantial changes being made in acute care stroke systems, processes, and quality metrics. Although there has been increased global emphasis on the importance of postacute stroke care, stroke system changes have not expanded to include postacute care and outcome follow-up. Our objectives are to describe the gaps and challenges in postacute stroke care and suboptimal stroke outcomes; to report on stroke survivors' and caregivers' perceptions of current postacute stroke care and their call for improvements in follow-up services for recovery and secondary prevention; and, ultimately, to make the case that a paradigm shift is needed in the definition of comprehensive stroke care and the designation of Comprehensive Stroke Center. Three recommendations are made for a paradigm shift in comprehensive stroke care: (1) criteria should be established for designation of rehabilitation readiness for Comprehensive Stroke Centers, (2) The American Heart Association/American Stroke Association implement an expanded Get With The Guidelines-Stroke program and criteria for comprehensive stroke centers to be inclusive of rehabilitation readiness and measure outcomes at 90 days, and (3) a public health campaign should be launched to offer hopeful and actionable messaging for secondary prevention and recovery of function and health. Now is the time to honor the patients' and caregivers' strongest ask: better access and improved secondary prevention, stroke rehabilitation, and personalized care.
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Affiliation(s)
- Pamela W Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Cheryl Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Mysha Sissine
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Sylvia Coleman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Barbara J Lutz
- School of Nursing, University of North Carolina at Wilmington (B.J.L.)
| | - Anna M Johnson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (A.M.J.)
| | - Meghan Radman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | | | - Richard D Zorowitz
- Department of Rehabilitation Medicine, MedStar National Rehabilitation Network and Georgetown University School of Medicine, Washington, DC (R.D.Z.)
| | - Joel Stein
- Department of Rehabilitation Medicine, Cornell University, Weill Cornell Medical College, New York, NY (J.S.)
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21
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Lutz BJ, Reimold AE, Coleman SW, Guzik AK, Russell LP, Radman MD, Johnson AM, Duncan PW, Bushnell CD, Rosamond WD, Gesell SB. Implementation of a Transitional Care Model for Stroke: Perspectives From Frontline Clinicians, Administrators, and COMPASS-TC Implementation Staff. THE GERONTOLOGIST 2020; 60:1071-1084. [PMID: 32275060 PMCID: PMC7427484 DOI: 10.1093/geront/gnaa029] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Stroke is a chronic, complex condition that disproportionally affects older adults. Health systems are evaluating innovative transitional care (TC) models to improve outcomes in these patients. The Comprehensive Post-Acute Stroke Services (COMPASS) Study, a large cluster-randomized pragmatic trial, tested a TC model for patients with stroke or transient ischemic attack discharged home from the hospital. The implementation of COMPASS-TC in complex real-world settings was evaluated to identify successes and challenges with integration into the clinical workflow. RESEARCH DESIGN AND METHODS We conducted a concurrent process evaluation of COMPASS-TC implementation during the first year of the trial. Qualitative data were collected from 4 sources across 19 intervention hospitals. We analyzed transcripts from 43 conference calls with hospital clinicians, individual and group interviews with leaders and clinicians from 9 hospitals, and 2 interviews with the COMPASS-TC Director of Implementation using iterative thematic analysis. Themes were compared to the domains of the RE-AIM framework. RESULTS Organizational, individual, and community factors related to Reach, Adoption, and Implementation were identified. Organizational readiness was an additional key factor to successful implementation, in that hospitals that were not "organizationally ready" had more difficulty addressing implementation challenges. DISCUSSION AND IMPLICATIONS Multifaceted TC models are challenging to implement. Facilitators of implementation were organizational commitment and capacity, prioritizing implementation of innovative delivery models to provide comprehensive care, being able to address challenges quickly, implementing systems for tracking patients throughout the intervention, providing clinicians with autonomy and support to address challenges, and adequately resourcing the intervention. CLINICAL TRIAL REGISTRATION NCT02588664.
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Affiliation(s)
- Barbara J Lutz
- School of Nursing, University of North Carolina at Wilmington
| | | | - Sylvia W Coleman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Amy K Guzik
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Laurie P Russell
- Division of Public Health Sciences, Wake Forest University Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Meghan D Radman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Anna M Johnson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Pamela W Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Cheryl D Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Wayne D Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Sabina B Gesell
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, North Carolina
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22
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Duncan PW, Bushnell CD, Jones SB, Psioda MA, Gesell SB, D'Agostino RB, Sissine ME, Coleman SW, Johnson AM, Barton-Percival BF, Prvu-Bettger J, Calhoun AG, Cummings DM, Freburger JK, Halladay JR, Kucharska-Newton AM, Lundy-Lamm G, Lutz BJ, Mettam LH, Pastva AM, Xenakis JG, Ambrosius WT, Radman MD, Vetter B, Rosamond WD. Randomized Pragmatic Trial of Stroke Transitional Care: The COMPASS Study. Circ Cardiovasc Qual Outcomes 2020; 13:e006285. [PMID: 32475159 DOI: 10.1161/circoutcomes.119.006285] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background The objectives of this study were to develop and test in real-world clinical practice the effectiveness of a comprehensive postacute stroke transitional care (TC) management program. Methods and Results The COMPASS study (Comprehensive Post-Acute Stroke Services) was a pragmatic cluster-randomized trial where the hospital was the unit of randomization. The intervention (COMPASS-TC) was initiated at 20 hospitals, and 20 hospitals provided their usual care. Hospital staff enrolled 6024 adult stroke and transient ischemic attack patients discharged home between 2016 and 2018. COMPASS-TC was patient-centered and assessed social and functional determinates of health to inform individualized care plans. Ninety-day outcomes were evaluated by blinded telephone interviewers. The primary outcome was functional status (Stroke Impact Scale-16); secondary outcomes were mortality, disability, medication adherence, depression, cognition, self-rated health, fatigue, care satisfaction, home blood pressure monitoring, and falls. The primary analysis was intention to treat. Of intervention hospitals, 58% had uninterrupted intervention delivery. Thirty-five percent of patients at intervention hospitals attended a COMPASS clinic visit. The primary outcome was measured for 59% of patients and was not significantly influenced by the intervention. Mean Stroke Impact Scale-16 (±SD) was 80.6±21.1 in TC versus 79.9±21.4 in usual care. Home blood pressure monitoring was self-reported by 72% of intervention patients versus 64% of usual care patients (adjusted odds ratio, 1.43 [95% CI, 1.21-1.70]). No other secondary outcomes differed. Conclusions Although designed according to the best available evidence with input from various stakeholders and consistent with Centers for Medicare and Medicaid Services TC policies, the COMPASS model of TC was not consistently incorporated into real-world health care. We found no significant effect of the intervention on functional status at 90 days post-discharge. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02588664.
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Affiliation(s)
- Pamela W Duncan
- Department of Neurology (P.W.D., C.D.B., M.E.S., S.W.C., M.D.R.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Cheryl D Bushnell
- Department of Neurology (P.W.D., C.D.B., M.E.S., S.W.C., M.D.R.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Sara B Jones
- Department of Epidemiology, Gillings School of Global Public Health (S.B.J., A.M.J., A.M.K.-N., L.H.M., W.D.R.), University of North Carolina at Chapel Hill
| | - Matthew A Psioda
- Department of Biostatistics, Collaborative Studies Coordinating Center (M.A.P.), University of North Carolina at Chapel Hill
| | - Sabina B Gesell
- Social Sciences and Health Policy, Division of Public Health Sciences (S.B.G.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Ralph B D'Agostino
- Division of Public Health Sciences, Department of Biostatistics and Data Science (R.B.D., W.T.A.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Mysha E Sissine
- Department of Neurology (P.W.D., C.D.B., M.E.S., S.W.C., M.D.R.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Sylvia W Coleman
- Department of Neurology (P.W.D., C.D.B., M.E.S., S.W.C., M.D.R.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Anna M Johnson
- Department of Epidemiology, Gillings School of Global Public Health (S.B.J., A.M.J., A.M.K.-N., L.H.M., W.D.R.), University of North Carolina at Chapel Hill
| | | | | | - Adrienne G Calhoun
- Area Agency on Aging, Piedmont Triad Regional Council, Kernersville, NC (B.F.B.-P., A.G.C.)
| | - Doyle M Cummings
- Brody School of Medicine, East Carolina University, Greenville, NC (D.M.C.)
| | - Janet K Freburger
- Department of Physical Therapy School of Health and Rehabilitation Science, University of Pittsburgh, PA (J.K.F.)
| | - Jacqueline R Halladay
- Department of Family Medicine, University of North Carolina School of Medicine, Chapel Hill (J.R.H.)
| | - Anna M Kucharska-Newton
- Department of Epidemiology, Gillings School of Global Public Health (S.B.J., A.M.J., A.M.K.-N., L.H.M., W.D.R.), University of North Carolina at Chapel Hill
| | | | - Barbara J Lutz
- University of North Carolina at Wilmington School of Nursing (B.J.L.)
| | - Laurie H Mettam
- Department of Epidemiology, Gillings School of Global Public Health (S.B.J., A.M.J., A.M.K.-N., L.H.M., W.D.R.), University of North Carolina at Chapel Hill
| | - Amy M Pastva
- Duke University School of Medicine, Durham, NC (J.P.-B., A.M.P.)
| | - James G Xenakis
- Department of Biostatistics, Gillings School of Global Public Health (J.G.X.), University of North Carolina at Chapel Hill
| | - Walter T Ambrosius
- Division of Public Health Sciences, Department of Biostatistics and Data Science (R.B.D., W.T.A.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Meghan D Radman
- Department of Neurology (P.W.D., C.D.B., M.E.S., S.W.C., M.D.R.), Wake Forest School of Medicine, Winston-Salem, NC
| | | | - Wayne D Rosamond
- Department of Epidemiology, Gillings School of Global Public Health (S.B.J., A.M.J., A.M.K.-N., L.H.M., W.D.R.), University of North Carolina at Chapel Hill
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