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Gilmartin H, Jones C, Nunnery M, Leonard C, Connelly B, Wills A, Kelley L, Rabin B, Burke RE. An implementation strategy postmortem method developed in the VA rural Transitions Nurse Program to inform spread and scale-up. PLoS One 2024; 19:e0298552. [PMID: 38457367 PMCID: PMC10923440 DOI: 10.1371/journal.pone.0298552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 01/25/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND High-quality implementation evaluations report on intervention fidelity and adaptations made, but a practical process for evaluating implementation strategies is needed. A retrospective method for evaluating implementation strategies is also required as prospective methods can be resource intensive. This study aimed to establish an implementation strategy postmortem method to identify the implementation strategies used, when, and their perceived importance. We used the rural Transitions Nurse Program (TNP) as a case study, a national care coordination intervention implemented at 11 hospitals over three years. METHODS The postmortem used a retrospective, mixed method, phased approach. Implementation team and front-line staff characterized the implementation strategies used, their timing, frequency, ease of use, and their importance to implementation success. The Expert Recommendations for Implementing Change (ERIC) compilation, the Quality Enhancement Research Initiative phases, and Proctor and colleagues' guidance were used to operationalize the strategies. Survey data were analyzed descriptively, and qualitative data were analyzed using matrix content analysis. RESULTS The postmortem method identified 45 of 73 ERIC strategies introduced, including 41 during pre-implementation, 37 during implementation, and 27 during sustainment. External facilitation, centralized technical assistance, and clinical supervision were ranked as the most important and frequently used strategies. Implementation strategies were more intensively applied in the beginning of the study and tapered over time. CONCLUSIONS The postmortem method identified that more strategies were used in TNP than planned and identified the most important strategies from the perspective of the implementation team and front-line staff. The findings can inform other implementation studies as well as dissemination of the TNP intervention.
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Affiliation(s)
- Heather Gilmartin
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
- Department of Health Systems, Management and Policy, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Christine Jones
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
- Division of Geriatric Medicine and Division of Hospital Medicine, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Mary Nunnery
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
| | - Chelsea Leonard
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
| | - Brigid Connelly
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
| | - Ashlea Wills
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
| | - Lynette Kelley
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
| | - Borsika Rabin
- Denver/Seattle Center of Innovation for Veteran-Centered and Value Driven Care, VA Eastern Colorado Healthcare System, Aurora, Colorado, United States of America
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, California, United States of America
- Altman Clinical and Translational Research Institute, Dissemination and Implementation Science Center, University of California San Diego, San Diego, California, United States of America
| | - Robert E. Burke
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Hospital Medicine Section – Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Pamungkas DR, O'Sullivan B, McGrail M, Chater B. Tools, frameworks and resources to guide global action on strengthening rural health systems: a mapping review. Health Res Policy Syst 2023; 21:129. [PMID: 38049824 PMCID: PMC10694960 DOI: 10.1186/s12961-023-01078-3] [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: 01/11/2023] [Accepted: 11/22/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Inequities of health outcomes persist in rural populations globally. This is strongly associated with there being less health coverage in rural and underserviced areas. Increasing health care coverage in rural area requires rural health system strengthening, which subsequently necessitates having tools to guide action. OBJECTIVE This mapping review aimed to describe the range of tools, frameworks and resources (hereafter called tools) available globally for rural health system capacity building. METHODS This study collected peer-reviewed materials published in 15-year period (2005-2020). A systematic mapping review process identified 149 articles for inclusion, related to 144 tools that had been developed, implemented, and/or evaluated (some tools reported over multiple articles) which were mapped against the World Health Organization's (WHO's) six health system building blocks (agreed as the elements that need to be addressed to strengthen health systems). RESULTS The majority of tools were from high- and middle-income countries (n = 85, 59% and n = 43, 29%, respectively), and only 17 tools (12%) from low-income countries. Most tools related to the health service building block (n = 57, 39%), or workforce (n = 33, 23%). There were a few tools related to information and leadership and governance (n = 8, 5% each). Very few tools related to infrastructure (n = 3, 2%) and financing (n = 4, 3%). This mapping review also provided broad quality appraisal, showing that the majority of the tools had been evaluated or validated, or both (n = 106, 74%). CONCLUSION This mapping review provides evidence that there is a breadth of tools available for health system strengthening globally along with some gaps where no tools were identified for specific health system building blocks. Furthermore, most tools were developed and applied in HIC/MIC and it is important to consider factors that influence their utility in LMIC settings. It may be important to develop new tools related to infrastructure and financing. Tools that have been positively evaluated should be made available to all rural communities, to ensure comprehensive global action on rural health system strengthening.
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Affiliation(s)
- Dewi Retno Pamungkas
- Mayne Academy of Rural and Remote Medicine, Rural and Remote Medicine Clinical Unit, Medical School, Faculty of Medicine, The University of Queensland, Theodore, QLD, Australia.
| | - Belinda O'Sullivan
- Toowoomba Regional Clinical Unit, Rural Clinical School, Faculty of Medicine, The University of Queensland, Toowoomba, QLD, Australia.
- Murray Primary Health Network, Bendigo, VIC, Australia.
| | - Matthew McGrail
- Rockhampton Regional Clinical Unit, Rural Clinical School, Faculty of Medicine, The University of Queensland, Rockhampton, QLD, Australia
| | - Bruce Chater
- Mayne Academy of Rural and Remote Medicine, Rural and Remote Medicine Clinical Unit, Medical School, Faculty of Medicine, The University of Queensland, Theodore, QLD, Australia
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O'Leary MC, Hassmiller Lich K, Reuland DS, Brenner AT, Moore AA, Ratner S, Birken SA, Wheeler SB. Optimizing process flow diagrams to guide implementation of a colorectal cancer screening intervention in new settings. Cancer Causes Control 2023; 34:89-98. [PMID: 37731072 PMCID: PMC10689519 DOI: 10.1007/s10552-023-01769-w] [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: 11/05/2022] [Accepted: 07/26/2023] [Indexed: 09/22/2023]
Abstract
PURPOSE The goal of this study was to assess acceptability of using process flow diagrams (or process maps) depicting a previously implemented evidence-based intervention (EBI) to inform the implementation of similar interventions in new settings. METHODS We developed three different versions of process maps, each visualizing the implementation of the same multicomponent colorectal cancer (CRC) screening EBI in community health centers but including varying levels of detail about how it was implemented. Interviews with community health professionals and practitioners at other sites not affiliated with this intervention were conducted. We assessed their preferences related to the map designs, their potential utility for guiding EBI implementation, and the feasibility of implementing a similar intervention in their local setting given the information available in the process maps. RESULTS Eleven community health representatives were interviewed. Participants were able to understand how the intervention was implemented and engage in discussions around the feasibility of implementing this type of complex intervention in their local system. Potential uses of the maps for supporting implementation included staff training, role delineation, monitoring and quality control, and adapting the components and implementation activities of the existing intervention. CONCLUSION Process maps can potentially support decision-making about the adoption, implementation, and adaptation of existing EBIs in new contexts. Given the complexities involved in deciding whether and how to implement EBIs, these diagrams serve as visual, easily understood tools to inform potential future adopters of the EBI about the activities, resources, and staffing needed for implementation.
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Affiliation(s)
- Meghan C O'Leary
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Kristen Hassmiller Lich
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniel S Reuland
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, Division of General Medicine and Clinical Epidemiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Alison T Brenner
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, Division of General Medicine and Clinical Epidemiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexis A Moore
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Shana Ratner
- Department of Medicine, Division of General Medicine and Clinical Epidemiology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Sarah A Birken
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Stephanie B Wheeler
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Patzel M, Barnes C, Ramalingam N, Gunn R, Kenzie ES, Ono SS, Davis MM. Jumping Through Hoops: Community Care Clinician and Staff Experiences Providing Primary Care to Rural Veterans. J Gen Intern Med 2023:10.1007/s11606-023-08126-2. [PMID: 37340259 DOI: 10.1007/s11606-023-08126-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 02/24/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND The 2019 VA Maintaining Systems and Strengthening Integrated Outside Networks Act, or MISSION Act, aimed to improve rural veteran access to care by expanding coverage for services in the community. Increased access to clinicians outside the US Department of Veterans Affairs (VA) could benefit rural veterans, who often face obstacles obtaining VA care. This solution, however, relies on clinics willing to navigate VA administrative processes. OBJECTIVE To investigate the experiences rural, non-VA clinicians and staff have while providing care to rural veterans and inform challenges and opportunities for high-quality, equitable care access and delivery. DESIGN Phenomenological qualitative study. PARTICIPANTS Non-VA-affiliated primary care clinicians and staff in the Pacific Northwest. APPROACH Semi-structured interviews with a purposive sample of eligible clinicians and staff between May and August 2020; data analyzed using thematic analysis. KEY RESULTS We interviewed 13 clinicians and staff and identified four themes and multiple challenges related to providing care for rural veterans: (1) Confusion, variability and delays for VA administrative processes, (2) clarifying responsibility for dual-user veteran care, (3) accessing and sharing medical records outside the VA, and (4) negotiating communication pathways between systems and clinicians. Informants reported using workarounds to combat challenges, including using trial and error to gain expertise in VA system navigation, relying on veterans to act as intermediaries to coordinate their care, and depending on individual VA employees to support provider-to-provider communication and share system knowledge. Informants expressed concerns that dual-user veterans were more likely to have duplication or gaps in services. CONCLUSIONS Findings highlight the need to reduce the bureaucratic burden of interacting with the VA. Further work is needed to tailor structures to address challenges rural community providers experience and to identify strategies to reduce care fragmentation across VA and non-VA providers and encourage long-term commitment to care for veterans.
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Affiliation(s)
- Mary Patzel
- Oregon Rural Practice-Based Research Network, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Mail Code: L222, Portland, OR, 97239, USA.
| | - Chrystal Barnes
- Oregon Rural Practice-Based Research Network, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Mail Code: L222, Portland, OR, 97239, USA
| | - NithyaPriya Ramalingam
- Oregon Rural Practice-Based Research Network, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Mail Code: L222, Portland, OR, 97239, USA
| | | | - Erin S Kenzie
- Oregon Rural Practice-Based Research Network, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Mail Code: L222, Portland, OR, 97239, USA
| | - Sarah S Ono
- Department of Veterans Affairs Office of Rural Health, Veteran Rural Health Resources Center, Portland, OR, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Melinda M Davis
- Oregon Rural Practice-Based Research Network, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Mail Code: L222, Portland, OR, 97239, USA
- Department of Family Medicine and OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA
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Zullig LL, Lewinski AA, Woolson SL, White-Clark C, Miller C, Bosworth HB, Burleson SC, Garrett MP, Darling KL, Crowley MJ. Research-practice partnerships: Adapting a care coordination intervention for rural Veterans over 3 years at multiple sites. J Rural Health 2023; 39:575-581. [PMID: 36661336 DOI: 10.1111/jrh.12740] [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] [Indexed: 01/21/2023]
Abstract
PURPOSE Rural Veterans are more likely than urban Veterans to qualify for community care (Veterans Health Administration [VHA]-paid care delivered outside of VHA) due to wait times ≥30 days and longer travel times for VHA care. For rural Veterans receiving both VHA and community care, suboptimal care coordination between VHA and community providers can result in poor follow-up and care fragmentation. We developed Telehealth-based Coordination of Non-VHA Care (TECNO Care) to address this problem. METHODS We iteratively developed and adapted TECNO Care with partners from the VHA Office of Rural Health and site-based Home Telehealth Care in the Community programs. Using templated electronic health record notes, Home Telehealth nurses contacted Veterans monthly to facilitate communication with VHA/community providers, coordinate referrals, reconcile medications, and follow up on acute episodes. We evaluated TECNO Care using a patient-level, pre-post effectiveness assessment and rapid qualitative analysis with individual interviews of Veterans and VHA collaborators. Our primary effectiveness outcome was a validated care coordination quality measure. We calculated mean change scores for each care continuity domain. FINDINGS Between March 2019 and October 2021, 83 Veterans received TECNO Care. Veterans were predominately White (86.4%) and male (88.6%) with mean age 71.4 years (SD 10.4). Quantitative data demonstrated improvements in perceived care coordination following TECNO Care in 7 categories. Qualitative interviews indicated that Veterans and Home Telehealth nurses perceived TECNO Care as beneficial and addressing an area of high need. CONCLUSIONS TECNO Care appeared to improve the coordination of VHA and community care and was valued by Veterans.
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Affiliation(s)
- Leah L Zullig
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Allison A Lewinski
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- School of Nursing, Duke University, Durham, North Carolina, USA
| | - Sandra L Woolson
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | - Courtney White-Clark
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | - Christopher Miller
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Hayden B Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
- School of Nursing, Duke University, Durham, North Carolina, USA
- Department of Psychiatry and Behavioral Sciences, School of Nursing, Duke University, Durham, North Carolina, USA
| | | | - Mary P Garrett
- Durham VA Health Care System, Durham, North Carolina, USA
| | - Kristen L Darling
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
| | - Matthew J Crowley
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- Division of Endocrinology, Diabetes, and Metabolism, Duke University School of Medicine, Durham, North Carolina, USA
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Piazza KM, Ashcraft LE, Rose L, Hall DE, Brown RT, Bowen MEL, Mavandadi S, Brecher AC, Keddem S, Kiosian B, Long JA, Werner RM, Burke RE. Study protocol: Type III hybrid effectiveness-implementation study implementing Age-Friendly evidence-based practices in the VA to improve outcomes in older adults. Implement Sci Commun 2023; 4:57. [PMID: 37231459 PMCID: PMC10209584 DOI: 10.1186/s43058-023-00431-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES Standards for Reporting Implementation Studies (see attached).
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Affiliation(s)
- Kirstin Manges Piazza
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA.
| | - Laura Ellen Ashcraft
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Liam Rose
- Stanford-Surgery Policy Improvement Research & Education Center, Stanford University, Stanford, CA, USA
- Health Economics Resource Center, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Daniel E Hall
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rebecca T Brown
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Mary Elizabeth Libbey Bowen
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Education, and Clinical Center, VISN4 Mental Illness Research, Corporal Michael JCrescenz VA Medical Center, Philadelphia, PA, USA
| | - Shahrzad Mavandadi
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- School of Nursing, University of Delaware, Newark, DE, USA
| | | | - Shimrit Keddem
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Family Medicine & Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Bruce Kiosian
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Judith A Long
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel M Werner
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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Donzé J, John G, Genné D, Mancinetti M, Gouveia A, Méan M, Bütikofer L, Aujesky D, Schnipper J. Effects of a Multimodal Transitional Care Intervention in Patients at High Risk of Readmission: The TARGET-READ Randomized Clinical Trial. JAMA Intern Med 2023:2804119. [PMID: 37126338 PMCID: PMC10152373 DOI: 10.1001/jamainternmed.2023.0791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Importance Hospital readmissions are frequent, costly, and sometimes preventable. Although these issues have been well publicized and incentives to reduce them introduced, the best interventions for reducing readmissions remain unclear. Objectives To evaluate the effects of a multimodal transitional care intervention targeting patients at high risk of hospital readmission on the composite outcome of 30-day unplanned readmission or death. Design, Setting, and Participants A single-blinded, multicenter randomized clinical trial was conducted from April 2018 to January 2020, with a 30-day follow-up in 4 medium-to-large-sized teaching hospitals in Switzerland. Participants were consecutive patients discharged from general internal medicine wards and at higher risk of unplanned readmission based on their simplified HOSPITAL score (≥4 points). Data were analyzed between April and September 2022. Interventions The intervention group underwent systematic medication reconciliation, a 15-minute patient education session with teach-back, a planned first follow-up visit with their primary care physician, and postdischarge follow-up telephone calls from the study team at 3 and 14 days. The control group received usual care from their hospitalist, plus a 1-page standard study information sheet. Main Outcomes and Measures Thirty-day postdischarge unplanned readmission or death. Results A total of 1386 patients were included with a mean (SD) age of 72 (14) years; 712 (51%) were male. The composite outcome of 30-day unplanned readmission or death was 21% (95% CI, 18% to 24%) in the intervention group and 19% (95% CI, 17% to 22%) in the control group. The intention-to-treat analysis risk difference was 1.7% (95% CI, -2.5% to 5.9%; P = .44). There was no evidence of any intervention effects on time to unplanned readmission or death, postdischarge health care use, patient satisfaction with the quality of their care transition, or readmission costs. Conclusions and Relevance In this randomized clinical trial, use of a standardized multimodal care transition intervention targeting higher-risk patients did not significantly decrease the risks of 30-day postdischarge unplanned readmission or death; it demonstrated the difficulties in preventing hospital readmissions, even when multimodal interventions specifically target higher-risk patients. Trial Registration ClinicalTrials.gov Identifier: NCT03496896.
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Affiliation(s)
- Jacques Donzé
- Department of Medicine, Neuchâtel Hospital Network, Neuchâtel, Switzerland
- Division of Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
- Division of Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Gregor John
- Department of Medicine, Neuchâtel Hospital Network, Neuchâtel, Switzerland
- Department of Internal Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
- Geneva University, Geneva, Switzerland
| | - Daniel Genné
- Department of Internal Medicine, Bienne Hospital Center, Bienne, Switzerland
| | - Marco Mancinetti
- Department of Internal Medicine, Hôpital cantonal de Fribourg, Villars-sur-Glâne, Switzerland
- Medical Education Unit, University of Fribourg, Switzerland
| | - Alexandre Gouveia
- Department of Ambulatory Care, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Marie Méan
- Division of Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | | | - Drahomir Aujesky
- Department of Internal Medicine, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Jeffrey Schnipper
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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8
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Williams PH, Gilmartin HM, Leonard C, McCarthy MS, Kelley L, Grunwald GK, Jones CD, Whittington MD. The Influence of the Rural Transitions Nurse Program for Veterans on Healthcare Utilization Costs. J Gen Intern Med 2022; 37:3529-3534. [PMID: 36042072 PMCID: PMC9585107 DOI: 10.1007/s11606-022-07401-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 01/05/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND The Veterans Affairs (VA) Healthcare System Rural Transitions Nurse Program (TNP) addresses barriers veterans face when transitioning from urban tertiary VA hospitals to home. Previous clinical evaluations of TNP have shown that enrolled veterans were more likely to follow up with their primary care provider within 14 days of discharge and experience a significant reduction in mortality within 30 days compared to propensity-score matched controls. OBJECTIVE Examine changes from pre- to post-hospitalization in total, inpatient, and outpatient 30-day healthcare utilization costs for TNP enrollees compared to controls. DESIGN Quantitative analyses modeling the changes in cost via multivariable linear mixed-effects models to determine the association between TNP enrollment and changes in these costs. PARTICIPANTS Veterans meeting TNP eligibility criteria who were discharged home following an inpatient hospitalization at one of the 11 implementation sites from April 2017 to September 2019. INTERVENTION The four-step TNP transitional care intervention. MAIN MEASURES Changes in 30-day total, inpatient, and outpatient healthcare utilization costs were calculated for TNP enrollees and controls. KEY RESULTS Among 3001 TNP enrollees and 6002 controls, no statistically significant difference in the change in total costs (p = 0.65, 95% CI: (- $675, $350)) was identified. However, on average, the increase in inpatient costs from pre- to post-hospitalization was approximately $549 less for TNP enrollees (p = 0.02, 95% CI: (- $856, - $246)). The average increase in outpatient costs from pre- to post-hospitalization was approximately $421 more for TNP enrollees compared to controls (p = 0.003, 95% CI: ($109, $671)). CONCLUSIONS Although we found no difference in change in total costs between veterans enrolled in TNP and controls, TNP was associated with a smaller increase in direct inpatient medical costs and a larger increase in direct outpatient medical costs. This suggests a shifting of costs from the inpatient to outpatient setting.
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Affiliation(s)
- Piper H. Williams
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
| | - Heather M. Gilmartin
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
- Health Systems, Management and Policy, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Chelsea Leonard
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
| | - Michaela S. McCarthy
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
| | - Lynette Kelley
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
| | - Gary K. Grunwald
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Christine D. Jones
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
- Division of Hospital Medicine, Department of Medicine, University of Colorado, Aurora, CO USA
| | - Melanie D. Whittington
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, CO USA
- University of Kansas Medical Center, Kansas City, KS USA
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Casanova NL, LeClair AM, Xiao V, Mullikin KR, Lemon SC, Freund KM, Haas JS, Freedman RA, Battaglia TA. Development of a workflow process mapping protocol to inform the implementation of regional patient navigation programs in breast oncology. Cancer 2022; 128 Suppl 13:2649-2658. [PMID: 35699611 PMCID: PMC9201987 DOI: 10.1002/cncr.33944] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 08/06/2021] [Accepted: 08/20/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND Implementing city-wide patient navigation processes that support patients across the continuum of cancer care is impeded by a lack of standardized tools to integrate workflows and reduce gaps in care. The authors present an actionable workflow process mapping protocol for navigation process planning and improvement based on methods developed for the Translating Research Into Practice study. METHODS Key stakeholders at each study site were identified through existing community partnerships, and data on each site's navigation processes were collected using mixed methods through a series of team meetings. The authors used Health Quality Ontario's Quality Improvement Guide, service design principles, and key stakeholder input to map the collected data onto a template structured according to the case-management model. RESULTS Data collection and process mapping exercises resulted in a 10-step protocol that includes: 1) workflow mapping procedures to guide data collection on the series of activities performed by health care personnel that comprise a patient's navigation experience, 2) a site survey to assess program characteristics, 3) a semistructured interview guide to assess care coordination workflows, 4) a site-level swim lane workflow process mapping template, and 5) a regional high-level process mapping template to aggregate data from multiple site-level process maps. CONCLUSIONS This iterative, participatory approach to data collection and process mapping can be used by improvement teams to streamline care coordination, ultimately improving the design and delivery of an evidence-based navigation model that spans multiple treatment modalities and multiple health systems in a metropolitan area. This protocol is presented as an actionable toolkit so the work may be replicated to support other quality-improvement initiatives and efforts to design truly patient-centered breast cancer treatment experiences. LAY SUMMARY Evidence-based patient navigation in breast cancer care requires the integration of services through each phase of cancer treatment. The Translating Research Into Practice study aims to implement patient navigation for patients with breast cancer who are at risk for delays and are seeking care across 6 health systems in Boston, Massachusetts. The authors designed a 10-step protocol outlining procedures and tools that support a systematic assessment for health systems that want to implement breast cancer patient navigation services for patients who are at risk for treatment delays.
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Affiliation(s)
- Nicole L Casanova
- University of Washington School of Public Health, 1959 NE Pacific St., Seattle, WA, United States of America
| | - Amy M LeClair
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center,800 Washington Street., Boston, MA, United States of America
| | - Victoria Xiao
- Boston Medical Center, 801 Massachusetts Ave., Boston, MA, United States of America
| | - Katelyn R Mullikin
- Boston Medical Center, 801 Massachusetts Ave., Boston, MA, United States of America
| | - Stephenie C Lemon
- University of Massachusetts Medical School, 368 Plantation St., Worcester MA, United States of America
| | - Karen M Freund
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center,800 Washington Street., Boston, MA, United States of America
| | - Jennifer S Haas
- Massachusetts General Hospital, 100 Cambridge St., Suite 1600, Boston, MA, United States of America
| | - Rachel A Freedman
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, United States of America
| | - Tracy A Battaglia
- Boston Medical Center, 801 Massachusetts Ave., Boston, MA, United States of America,Boston University School of Medicine, 801 Massachusetts Ave., Boston, MA, United States of America
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Gilmartin HM, Warsavage T, Hines A, Leonard C, Kelley L, Wills A, Gaskin D, Ujano-De Motta L, Connelly B, Plomondon ME, Yang F, Kaboli P, Burke RE, Jones CD. Effectiveness of the rural transitions nurse program for Veterans: A multicenter implementation study. J Hosp Med 2022; 17:149-157. [PMID: 35504490 DOI: 10.1002/jhm.12802] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 01/27/2022] [Accepted: 02/01/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Veterans are often transferred from rural areas to urban VA Medical Centers for care. The transition from hospital to home is vulnerable to postdischarge adverse events. OBJECTIVE To evaluate the effectiveness of the rural Transitions Nurse Program (TNP). DESIGN, SETTING, AND PARTICIPANTS National hybrid-effectiveness-implementation study, within site propensity-matched cohort in 11 urban VA hospitals. 3001 Veterans were enrolled in TNP from April 2017 to September 2019, and 6002 matched controls. INTERVENTION AND OUTCOMES The intervention was led by a transitions nurse who assessed discharge readiness, provided postdischarge communication with primary care providers (PCPs), and called the Veteran within 72 h of discharge home to assess needs, and encourage follow-up appointment attendance. Controls received usual care. The primary outcomes were PCP visits within 14 days of discharge and all-cause 30-day readmissions. Secondary outcomes were 30-day emergency department (ED) visits and 30-day mortality. Patients were matched by length of stay, prior hospitalizations and PCP visits, urban/rural status, and 32 Elixhauser comorbidities. RESULTS The 3001 Veterans enrolled in TNP were more likely to see their PCP within 14 days of discharge than 6002 matched controls (odds ratio = 2.24, 95% confidence interval [CI] = 2.05-2.45). TNP enrollment was not associated with reduced 30-day ED visits or readmissions but was associated with reduced 30-day mortality (hazard ratio = 0.33, 95% CI = 0.21-0.53). PCP and ED visits did not have a significant mediating effect on outcomes. The observational design, potential selection bias, and unmeasurable confounders limit causal inference. CONCLUSIONS TNP was associated with increased postdischarge follow-up and a mortality reduction. Further investigation to understand the reduction in mortality is needed.
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Affiliation(s)
- Heather M Gilmartin
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
- Department of Health Systems, Management and Policy, School of Public Health, University of Colorado, Aurora, Colorado, USA
| | - Theodore Warsavage
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Anne Hines
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Chelsea Leonard
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Lynette Kelley
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Ashlea Wills
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - David Gaskin
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Lexus Ujano-De Motta
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Brigid Connelly
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
| | - Mary E Plomondon
- Clinical Assessment Reporting and Tracking Program, Office of Quality and Patient Safety, Veterans' Health Administration, Washington, District of Columbia, USA
| | - Fan Yang
- Department of Biostatistics and Informatics, School of Public Health, University of Colorado, Aurora, Colorado, USA
| | - Peter Kaboli
- Research Department, Veterans Rural Health Resource Center-Iowa City, VA Office of Rural Health, and Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System, Iowa City, Iowa, USA
- Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Robert E Burke
- Research Department, Center for Health Equity Research and Promotion, Corporal Crescenz Veterans Health Administration Medical Center, Philadelphia, Pennsylvania, USA
- Hospital Medicine Section - Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Christine D Jones
- Research Department, Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VHA Eastern Colorado Healthcare System, Aurora, Colorado, USA
- Division of Hospital Medicine, Department of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA
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11
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Nunnery MA, Gilmartin H, McCarthy M, Motta LUD, Wills A, Kelley L, Jones CD, Leonard C. Sustainment stories: a qualitative analysis of barriers to sustainment of the National Rural Transitions of Care Nurse Program. BMC Health Serv Res 2022; 22:119. [PMID: 35090448 PMCID: PMC8796421 DOI: 10.1186/s12913-021-07420-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 12/13/2021] [Indexed: 12/03/2022] Open
Abstract
Background Understanding how to successfully sustain evidence-based care coordination interventions across diverse settings is critical to ensure that patients continue to receive high quality care even after grant funding ends. The Transitions Nurse Program (TNP) is a national intervention in the Veterans Administration (VA) that coordinates care for high risk veterans transitioning from acute care VA medical centers (VAMCs) to home. As part of TNP, a VA facility receives funding for a full-time nurse to implement TNP, however, this funding ends after implementation. In this qualitative study we describe which elements of TNP sites planned to sustain as funding concluded, as well as perceived barriers to sustainment. Methods TNP was implemented between 2016 and 2020 at eleven VA medical centers. Three years of funding was provided to each site to support hiring of staff, implementation and evaluation of the program. At the conclusion of funding, each site determined if they would sustain components or the entirety of the program. Prior to the end of funding at each site, we conducted midline and exit interviews with Transitions nurses and site champions to assess plans for sustainment and perceived barriers to sustainment. Interviews were analyzed using iterative, team-based inductive deductive content analysis to identify themes related to planned sustainment and perceived barriers to sustainment. Results None of the 11 sites planned to sustain TNP in its original format, though many of the medical centers anticipated offering components of the program, such as follow up calls after discharge to rural areas, documented warm hand off to PACT team, and designating a team member as responsible for patient rural discharge follow up. We identified three themes related to perceived sustainability. These included: 1) Program outcomes that address leadership priorities are necessary for sustainment.; 2) Local perceptions of the need for TNP or redundancy of TNP impacted perceived sustainability; and 3) Lack of leadership buy-in, changing leadership priorities, and leadership turnover are perceived barriers to sustainment. Conclusions Understanding perceived sustainability is critical to continuing high quality care coordination interventions after funding ends. Our findings suggest that sustainment of care coordination interventions requires an in-depth understanding of the facility needs and local leadership priorities, and that building adaptable programs that continually engage key stakeholders is essential. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-07420-1.
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12
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Kelly JD, Bravata DM, Bent S, Wray CM, Leonard SJ, Boscardin WJ, Myers LJ, Keyhani S. Association of Social and Behavioral Risk Factors With Mortality Among US Veterans With COVID-19. JAMA Netw Open 2021; 4:e2113031. [PMID: 34106264 PMCID: PMC8190626 DOI: 10.1001/jamanetworkopen.2021.13031] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
IMPORTANCE The US Department of Veterans Affairs (VA) offers programs that reduce barriers to care for veterans and those with housing instability, poverty, and substance use disorder. In this setting, however, the role that social and behavioral risk factors play in COVID-19 outcomes is unclear. OBJECTIVE To examine whether social and behavioral risk factors were associated with mortality among US veterans with COVID-19 and whether this association might be modified by race/ethnicity. DESIGN, SETTING, AND PARTICIPANTS This cohort study obtained data from the VA Corporate Data Warehouse to form a cohort of veterans who received a positive COVID-19 test result between March 2 and September 30, 2020, in a VA health care facility. All veterans who met the inclusion criteria were eligible to participate in the study, and participants were followed up for 30 days after the first SARS-CoV-2 or COVID-19 diagnosis. The final follow-up date was October 31, 2020. EXPOSURES Social risk factors included housing problems and financial hardship. Behavioral risk factors included current tobacco use, alcohol use, and substance use. MAIN OUTCOMES AND MEASURES The primary outcome was all-cause mortality in the 30-day period after the SARS-CoV-2 or COVID-19 diagnosis date. Multivariable logistic regression was used to estimate odds ratios, clustering for health care facilities and adjusting for age, sex, race, ethnicity, marital status, clinical factors, and month of COVID-19 diagnosis. RESULTS Among 27 640 veterans with COVID-19 who were included in the analysis, 24 496 were men (88.6%) and the mean (SD) age was 57.2 (16.6) years. A total of 3090 veterans (11.2%) had housing problems, 4450 (16.1%) had financial hardship, 5358 (19.4%) used alcohol, and 3569 (12.9%) reported substance use. Hospitalization occurred in 7663 veterans (27.7%), and 1230 veterans (4.5%) died. Housing problems (adjusted odds ratio [AOR], 0.96; 95% CI, 0.77-1.19; P = .70), financial hardship (AOR, 1.13; 95% CI, 0.97-1.31; P = .11), alcohol use (AOR, 0.82; 95% CI, 0.68-1.01; P = .06), current tobacco use (AOR, 0.85; 95% CI, 0.68-1.06; P = .14), and substance use (AOR, 0.90; 95% CI, 0.71-1.15; P = .41) were not associated with higher mortality. Interaction analyses by race/ethnicity did not find associations between mortality and social and behavioral risk factors. CONCLUSIONS AND RELEVANCE Results of this study showed that, in an integrated health system such as the VA, social and behavioral risk factors were not associated with mortality from COVID-19. Further research is needed to substantiate the potential of an integrated health system to be a model of support services for households with COVID-19 and populations who are at risk for the disease.
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Affiliation(s)
- J. Daniel Kelly
- San Francisco VA Medical Center, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - Dawn M. Bravata
- US Department of Veterans Affairs, Health Services and Development, Center for Health Information and Communication, Indianapolis, Indiana
- Department of Medicine, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana
- Veterans Affairs Medical Center, Indianapolis, Indiana
- Department of Medicine, Indiana University School of Medicine, Indianapolis
- Regenstrief Institute, Indianapolis, Indiana
| | - Stephen Bent
- San Francisco VA Medical Center, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
- Department of Medicine, University of California, San Francisco, San Francisco
| | - Charlie M. Wray
- San Francisco VA Medical Center, San Francisco, California
- Department of Medicine, University of California, San Francisco, San Francisco
| | - Samuel J. Leonard
- Department of Medicine, University of California, San Francisco, San Francisco
| | - W. John Boscardin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
- Department of Medicine, University of California, San Francisco, San Francisco
| | - Laura J. Myers
- US Department of Veterans Affairs, Health Services and Development, Center for Health Information and Communication, Indianapolis, Indiana
| | - Salomeh Keyhani
- San Francisco VA Medical Center, San Francisco, California
- Department of Medicine, University of California, San Francisco, San Francisco
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13
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Antonacci G, Lennox L, Barlow J, Evans L, Reed J. Process mapping in healthcare: a systematic review. BMC Health Serv Res 2021; 21:342. [PMID: 33853610 PMCID: PMC8048073 DOI: 10.1186/s12913-021-06254-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 03/08/2021] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Process mapping (PM) supports better understanding of complex systems and adaptation of improvement interventions to their local context. However, there is little research on its use in healthcare. This study (i) proposes a conceptual framework outlining quality criteria to guide the effective implementation, evaluation and reporting of PM in healthcare; (ii) reviews published PM cases to identify context and quality of PM application, and the reported benefits of using PM in healthcare. METHODS We developed the conceptual framework by reviewing methodological guidance on PM and empirical literature on its use in healthcare improvement interventions. We conducted a systematic review of empirical literature using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. Inclusion criteria were: full text empirical study; describing the process through which PM has been applied in a healthcare setting; published in English. Databases searched are: Medline, Embase, HMIC-Health Management Information Consortium, CINAHL-Cumulative Index to Nursing and Allied Health Literature, Scopus. Two independent reviewers extracted and analysed data. Each manuscript underwent line by line coding. The conceptual framework was used to evaluate adherence of empirical studies to the identified PM quality criteria. Context in which PM is used and benefits of using PM were coded using an inductive thematic analysis approach. RESULTS The framework outlines quality criteria for each PM phase: (i) preparation, planning and process identification, (ii) data and information gathering, (iii) process map generation, (iv) analysis, (v) taking it forward. PM is used in a variety of settings and approaches to improvement. None of the reviewed studies (N = 105) met all ten quality criteria; 7% were compliant with 8/10 or 9/10 criteria. 45% of studies reported that PM was generated through multi-professional meetings and 15% reported patient involvement. Studies highlighted the value of PM in navigating the complexity characterising healthcare improvement interventions. CONCLUSION The full potential of PM is inhibited by variance in reporting and poor adherence to underpinning principles. Greater rigour in the application of the method is required. We encourage the use and further development of the proposed framework to support training, application and reporting of PM. TRIAL REGISTRATION Prospero ID: CRD42017082140.
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Affiliation(s)
- Grazia Antonacci
- Department of Primary Care and Public Health, Imperial College London, National Institute of Health Research (NIHR) Applied Research Collaboration (ARC) Northwest London, London, UK
- Business School, Centre for Health Economics and Policy Innovation (CHEPI), Imperial College London, London, UK
| | - Laura Lennox
- Department of Primary Care and Public Health, Imperial College London, National Institute of Health Research (NIHR) Applied Research Collaboration (ARC) Northwest London, London, UK
| | - James Barlow
- Business School, Centre for Health Economics and Policy Innovation (CHEPI), Imperial College London, London, UK
| | - Liz Evans
- Department of Primary Care and Public Health, Imperial College London, National Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London, London, UK
| | - Julie Reed
- Department of Primary Care and Public Health, Imperial College London, National Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Northwest London, London, UK
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14
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Leonard C, Gilmartin H, McCreight M, Kelley L, Mayberry A, Burke RE. Training registered nurses to conduct pre-implementation assessment to inform program scale-up: an example from the rural Transitions Nurse Program. Implement Sci Commun 2021; 2:28. [PMID: 33685521 PMCID: PMC7938579 DOI: 10.1186/s43058-021-00127-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 02/09/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Adapting evidence-based practices to local settings is critical for successful implementation and dissemination. A pre-implementation assessment evaluates local context to inform implementation, but there is little published guidance for clinician-implementers. The rural Transitions Nurse Program (TNP) is a care coordination intervention that facilitates care transitions for rural veterans. In year 1 of TNP, pre-implementation assessments were conducted by a centralized project team through multi-day visits at five sites nationwide. In year 2, we tested if local site TNP nurses could conduct pre-implementation assessments using evidence-based tools and coaching from the TNP team. This required developing a multicomponent pre-implementation strategy bundle to guide data collection and synthesis. We hypothesized that (1) nurses would find the pre-implementation assessment useful for tailoring TNP to local contexts and (2) nurses would identify similar barriers and facilitators to those identified at first year sites. METHODS The bundle included guides for conducting key informant interviews, brainwriting, process mapping, and reflective journaling. We evaluated TNP nurse satisfaction and perceived utility of the structure and process of the training and bundle through pre-post surveys. To assess the outcome of data collection efforts, we interviewed nurses 4 months after completion of the pre-implementation assessment to determine if and how they used pre-implementation findings to tailor implementation of TNP to local contexts. To further assess outcomes, all data that the nurses collected were analyzed thematically. Themes related to barriers and facilitators were compared across years. FINDINGS Five nurses at different VA medical centers used the pre-implementation strategy bundle to collect site-level data and completed pre-post surveys. Findings indicated that the pre-implementation assessment was highly recommended, and the bundle provided adequate training. Nurses felt that pre-implementation work oriented them to the local context and illustrated how to integrate TNP into existing processes. Barriers and facilitators identified by nurses were similar to those collected in year 1 by the TNP research team, including communication challenges, need for buy-in, and logistical concerns. CONCLUSIONS This proof-of-concept study suggests that evidence-based tools can effectively guide clinician-implementers through the process of conducting a pre-implementation assessment. This approach positively informed TNP implementation and oriented nurses to their local context prior to implementation.
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Affiliation(s)
- Chelsea Leonard
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Healthcare System, 1700 N Wheeling Street, Aurora, CO, 80045, USA.
| | - Heather Gilmartin
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Healthcare System, 1700 N Wheeling Street, Aurora, CO, 80045, USA.,Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marina McCreight
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Healthcare System, 1700 N Wheeling Street, Aurora, CO, 80045, USA
| | - Lynette Kelley
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Healthcare System, 1700 N Wheeling Street, Aurora, CO, 80045, USA
| | - Ashlea Mayberry
- Denver/Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Healthcare System, 1700 N Wheeling Street, Aurora, CO, 80045, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion (CHERP), Corporal Crescenz VA Medical Center, Philadelphia, PA, USA.,Hospital Medicine Section, Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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15
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Manges KA, Ayele R, Leonard C, Lee M, Galenbeck E, Burke RE. Differences in transitional care processes among high-performing and low-performing hospital-SNF pairs: a rapid ethnographic approach. BMJ Qual Saf 2020; 30:648-657. [PMID: 32958550 DOI: 10.1136/bmjqs-2020-011204] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 07/07/2020] [Accepted: 08/02/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Despite the increased focus on improving patient's postacute care outcomes, best practices for reducing readmissions from skilled nursing facilities (SNFs) are unclear. The objective of this study was to observe processes used to prepare patients for postacute care in SNFs, and to explore differences between hospital-SNF pairs with high or low 30-day readmission rates. DESIGN We used a rapid ethnographic approach with intensive multiday observations and key informant interviews at high-performing and low-performing hospitals, and their most commonly used SNF. We used flow maps and thematic analysis to describe the process of hospitals discharging patients to SNFs and to identify differences in subprocesses used by high-performing and low-performing hospitals. SETTING AND PARTICIPANTS Hospitals were classified as high or low performers based on their 30-day readmission rates from SNFs. The final sample included 148 hours of observations with 30 clinicians across four hospitals (n=2 high performing, n=2 low performing) and corresponding SNFs (n=5). FINDINGS We identified variation in five major processes prior to SNF discharge that could affect care transitions: recognising need for postacute care, deciding level of care, selecting an SNF, negotiating patient fit and coordinating care with SNF. During each stage, high-performing sites differed from low-performing sites by focusing on: (1) earlier, ongoing, systematic identification of high-risk patients; (2) discussing the decision to go to an SNF as an iterative team-based process and (3) anticipating barriers with knowledge of transitional and SNF care processes. CONCLUSION Identifying variations in processes used to prepare patients for SNF provides critical insight into the best practices for transitioning patients to SNFs and areas to target for improving care of high-risk patients.
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Affiliation(s)
- Kirstin A Manges
- National Clinician Scholar, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA .,Center for Health Equity Research and Promotion (CHERP), Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Roman Ayele
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Chelsea Leonard
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Marcie Lee
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Emily Galenbeck
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.,Section of Hospital Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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16
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Means AR, Wagner AD, Kern E, Newman LP, Weiner BJ. Implementation Science to Respond to the COVID-19 Pandemic. Front Public Health 2020; 8:462. [PMID: 32984248 PMCID: PMC7493639 DOI: 10.3389/fpubh.2020.00462] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 07/23/2020] [Indexed: 12/16/2022] Open
Abstract
The COVID-19 pandemic continues to expand globally, requiring massive public health responses from national and local governments. These bodies have taken heterogeneous approaches to their responses, including when and how to introduce and enforce evidence-based interventions—such as social distancing, hand-washing, personal protective equipment (PPE), and testing. In this commentary, we reflect on opportunities for implementation science to contribute meaningfully to the COVID-19 pandemic response. We reflect backwards on missed opportunities in emergency preparedness planning, using the example of PPE stockpiling and supply management; this planning could have been strengthened through process mapping with consensus-building, microplanning with simulation, and stakeholder engagement. We propose current opportunities for action, focusing on enhancing the adoption, fidelity, and sustainment of hand washing and social distancing; we can combine qualitative data, policy analysis, and dissemination science to inform agile and rapid adjustment to social marketing strategies to enhance their penetration. We look to future opportunities to enhance the integration of new evidence in decision-making, focusing on serologic and virologic testing systems; we can leverage simulation and other systems engineering modeling to identify ideal system structures. Finally, we discuss the ways in which the COVID-19 pandemic challenges implementation science to become more rapid, rigorous, and nimble in its approach, and integrate with public health practice. In summary, we articulate the ways in which implementation science can inform, and be informed by, the COVID-19 pandemic, looking backwards, proposing actions for the moment, and approaches for the future.
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Affiliation(s)
- Arianna Rubin Means
- Department of Global Health, University of Washington, Seattle, WA, United States
| | - Anjuli D Wagner
- Department of Global Health, University of Washington, Seattle, WA, United States
| | - Eli Kern
- Public Health-Seattle and King County, Seattle, WA, United States
| | - Laura P Newman
- Department of Global Health, University of Washington, Seattle, WA, United States.,Office of Communicable Disease Epidemiology, Washington State Department of Health, Seattle, WA, United States
| | - Bryan J Weiner
- Department of Global Health, University of Washington, Seattle, WA, United States.,Department of Health Services, University of Washington, Seattle, WA, United States
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17
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Abstract
BACKGROUND Traditional care of patients with geriatric hip fracture has been fragmented with patients admitted under various specialty services and to different units within a hospital. This produces inconsistent care and leads to varying outcomes that can be associated with increased length of stay, delays in time from admission to surgery, and higher readmission rates. PURPOSE The purpose of this article is to describe the process taken to establish a successful geriatric hip fracture program (GFP) and the initial results observed in a single institution after its implementation. METHODS All patients 60 years or older, with an osteoporotic hip fracture sustained from a low energy mechanism (defined as a fall from 3-ft height or less), were included in our program. Fracture patterns include femoral neck, intertrochanteric, pertrochanteric, and subtrochanteric femur fractures including displaced, nondisplaced, and periprosthetic fractures. Preprogram data included all patients admitted from January 1, 2012, through December 31, 2014; postprogram data were collected on patients admitted between May 1, 2016, and May 1, 2018. RESULTS Demographic characteristics of the populations were similar. After the GFP was implemented, the proportion of patients who were treated surgically within 24 and 48 hours increased. The average number of hours between admission and surgery significantly reduced from 35.2 to 23.2 hours. Overall length of stay was decreased by 1.8 days and readmission within 30 days of discharge was lower. Reasons for readmission were similar in both timeframes. The rate of inpatient death was similar in the two groups. Mortality within 30 days of surgery appeared somewhat higher in the post-GFP period. CONCLUSION Our program found that, with the utilization of a multidisciplinary approach, we could positively influence the care of patients with geriatric hip fracture through the implementation of evidence-based practice guidelines. In the first 2 years after initiation of the GFP, our institution saw a decrease in time from admission to surgery, length of stay, and blood transfusion requirements.
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18
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Cordasco KM, Hynes DM, Mattocks KM, Bastian LA, Bosworth HB, Atkins D. Improving Care Coordination for Veterans Within VA and Across Healthcare Systems. J Gen Intern Med 2019; 34:1-3. [PMID: 31098970 PMCID: PMC6542920 DOI: 10.1007/s11606-019-04999-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Kristina M Cordasco
- VA Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation and Policy, Los Angeles, CA, USA. .,Division of General Internal Medicine, Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA. .,Department of Medicine, University of California Los Angeles (UCLA) Geffen School of Medicine, Los Angeles, CA, USA.
| | - Denise M Hynes
- Center to Improve Veteran Involvement in Care, Portland VA Health Care System, Portland, OR, USA.,College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Kristin M Mattocks
- VA Central Western Massachusetts, Leeds, MA, USA.,University of Massachusetts Medical School, Worcester, MA, USA
| | - Lori A Bastian
- Pain Research, Informatics, Multimorbidities and Education Center, VA Connecticut, West Haven, CT, USA.,Division of General Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Hayden B Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Medical Center, Durham, NC, USA.,Departments of Population Health Sciences, Medicine, Psychiatry, and School of Nursing, Duke University, Durham, NC, USA
| | - David Atkins
- VA Health Services Research and Development Services, Office of Research and Development, Washington, DC, USA
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