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Wilson HK, Wieler C, Bell DL, Bhattarai AP, Castillo-Hernandez IM, Williams ER, Evans EM, Berg AC. Implementation of the Diabetes Prevention Program in Georgia Cooperative Extension According to RE-AIM and the Consolidated Framework for Implementation Research. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2024; 25:34-45. [PMID: 36930404 PMCID: PMC10021035 DOI: 10.1007/s11121-023-01518-0] [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] [Accepted: 02/26/2023] [Indexed: 03/18/2023]
Abstract
Increased dissemination of the CDC's Diabetes Prevention Program (DPP) is imperative to reduce type 2 diabetes. Due to its nationwide reach and mission to improve health, Cooperative Extension (Extension) is poised to be a sustainable DPP delivery system. However, research evaluating DPP implementation in Extension remains scant. Extension professionals delivered the DPP in a single-arm hybrid type II effectiveness-implementation study. Semi-structured interviews with Extension professionals were conducted at three time points. The Consolidated Framework for Implementation Research (CFIR) guided interview coding and analysis. Constructs were rated for magnitude and valence and evaluated as facilitators or barriers of RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) outcomes. The program reached 119 participants, was adopted by 92% (n = 12/13) of trained Extension professionals and was implemented according to CDC standards: all programs exceeded the minimum 22-session requirement (26 ± 2 sessions). The program was effective in achieving weight loss (5.0 ± 5.2%) and physical activity (179 ± 122 min/week) goals. At post-intervention, eight professionals (67%) had begun or planned to maintain the intervention within the next 6 months. Several facilitators were identified, including Extension leadership structure, organizational compatibility, and technical assistance calls. Limited time to recruit participants was the primary barrier. Positive RE-AIM outcomes, facilitated by contextual factors, indicate Extension is an effective and sustainable DPP delivery system. Extension and other DPP implementers should plan strategies that promote communication, the program's evidence-base, recruitment time, and resource access. Researchers should explore DPP implementation in real-world settings to determine overall and setting-specific best practices, promote intervention uptake, and reduce diabetes.
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Affiliation(s)
- Hannah K Wilson
- Department of Nutrition, Dietetics and Exercise Science, Concordia College, Moorhead, MN, 56562, USA
| | - Caroline Wieler
- Department of Nutritional Sciences, University of Georgia, Athens, GA, 30602, USA
| | - Darci L Bell
- Department of Nutritional Sciences, University of Georgia, Athens, GA, 30602, USA
| | - Ajit P Bhattarai
- Department of Organizational Learning and Performance, Idaho State University, Pocatello, ID, 83209, USA
| | - Isaura M Castillo-Hernandez
- Human Movement Sciences Research Center, School of Physical Education and Sports, University of Costa Rica, San José, 11502, Costa Rica
| | - Ewan R Williams
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Ellen M Evans
- Department of Kinesiology, University of Georgia, Athens, GA, 30602, USA
| | - Alison C Berg
- Department of Nutritional Sciences, University of Georgia, Athens, GA, 30602, USA.
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Bloeser K, Kimber JM, Santos SL, Krupka CB, McAndrew LM. Improving care for veterans' environmental exposure concerns: applications of the consolidated framework for implementation research in program evaluation. BMC Health Serv Res 2024; 24:241. [PMID: 38395810 PMCID: PMC10893731 DOI: 10.1186/s12913-024-10614-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 01/17/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Healthcare systems, like the US Department of Veterans Affairs (VA), need policies and procedures for delivering care to special populations including those with environmental exposure concerns. Despite being common and pervasive, especially among Veterans, environmental exposures are largely overlooked by healthcare providers. To successfully implement care for Veterans with military environmental exposure concerns, an understanding of contextual factors impeding care on the provider (e.g., knowledge and beliefs) and organizational (e.g., leadership's priorities) level is needed. Our goal was to conduct an operational needs assessment of providers to examine provider educational needs regarding Veterans' military environmental exposure concerns. METHODS In 2020, we surveyed 2,775 VA medical and behavioral health providers. Our cross-sectional assessment was informed by the Consolidated Framework for Implementation Research (CFIR) and assessed barriers and facilitators to the uptake and application of knowledge regarding interdisciplinary care for environmental exposure concerns. The web-based survey was emailed to providers across the United States representing a variety of disciplines and practice settings to reflect the interdisciplinary approach to care for environmental exposures. We used bivariate statistics to investigate the intervention setting, inner setting, and individual characteristics of providers regarding care for environmental exposure concerns. RESULTS Approximately one-third of VA medical and behavioral health clinicians report low to no knowledge of environmental exposure concerns. We find 88% of medical and 91% of behavioral health providers report they are ready to learn more about environmental exposures. Half of medical and behavioral health providers report they have access to information on environmental exposures and less than half report care for environmental exposures is a priority where they practice. CONCLUSIONS Our findings suggest interdisciplinary providers' knowledge of and discussion with Veterans about environmental exposures may be influenced by contextual factors at the organizational level. Considering individual-level factors and organizational culture is important to consider when supporting care for environmental exposures. Since this needs assessment, VA established targeted programs to improve care related to military environmental exposures in response to legislation; future exploration of these same variables or contextual factors is warranted.
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Affiliation(s)
- Katharine Bloeser
- The War Related Illness and Injury Study Center, The VA New Jersey Health Care System, 385 Tremont Avenue, East Orange, NJ, 07018, USA.
- The Silberman School of Social Work at Hunter College, The City University of New York, New York, NY, USA.
| | - Justin M Kimber
- Buffalo VA Medical Center, Buffalo, NY, USA
- Russell Sage College, Troy, NY, USA
| | - Susan L Santos
- The War Related Illness and Injury Study Center, The VA New Jersey Health Care System, 385 Tremont Avenue, East Orange, NJ, 07018, USA
| | - Chana B Krupka
- The VA New York Harbor Health Care System, Brooklyn, NY, USA
| | - Lisa M McAndrew
- The War Related Illness and Injury Study Center, The VA New Jersey Health Care System, 385 Tremont Avenue, East Orange, NJ, 07018, USA
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Gulanski BI, Goulet JL, Radhakrishnan K, Ko J, Li Y, Rajeevan N, Lee KM, Heberer K, Lynch JA, Streja E, Mutalik P, Cheung KH, Concato J, Shih MC, Lee JS, Aslan M. Metformin prescription for U.S. veterans with prediabetes, 2010-2019. J Investig Med 2024; 72:139-150. [PMID: 37668313 DOI: 10.1177/10815589231201141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Affecting an estimated 88 million Americans, prediabetes increases the risk for developing type 2 diabetes mellitus (T2DM), and independently, cardiovascular disease, retinopathy, nephropathy, and neuropathy. Nevertheless, little is known about the use of metformin for diabetes prevention among patients in the Veterans Health Administration, the largest integrated healthcare system in the U.S. This is a retrospective observational cohort study of the proportion of Veterans with incident prediabetes who were prescribed metformin at the Veterans Health Administration from October 2010 to September 2019. Among 1,059,605 Veterans with incident prediabetes, 12,009 (1.1%) were prescribed metformin during an average 3.4 years of observation after diagnosis. Metformin prescribing was marginally higher (1.6%) among those with body mass index (BMI) ≥35 kg/m2, age <60 years, HbA1c≥6.0%, or those with a history of gestational diabetes, all subgroups at a higher risk for progression to T2DM. In a multivariable model, metformin was more likely to be prescribed for those with BMI ≥35 kg/m2 incidence rate ratio [IRR] 2.6 [95% confidence intervals (CI): 2.1-3.3], female sex IRR, 2.4 [95% CI: 1.8-3.3], HbA1c≥6% IRR, 1.93 [95% CI: 1.5-2.4], age <60 years IRR, 1.7 [95% CI: 1.3-2.3], hypertriglyceridemia IRR, 1.5 [95% CI: 1.2-1.9], hypertension IRR, 1.5 [95% CI: 1.1-2.1], Major Depressive Disorder IRR, 1.5 [95% CI: 1.1-2.0], or schizophrenia IRR, 2.1 [95% CI: 1.2-3.8]. Over 20% of Veterans with prediabetes attended a comprehensive structured lifestyle modification clinic or program. Among Veterans with prediabetes, metformin was prescribed to 1.1% overall, a proportion that marginally increased to 1.6% in the subset of individuals at highest risk for progression to T2DM.
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Affiliation(s)
- Barbara I Gulanski
- Department of Medicine, Endocrinology, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Endocrinology, Yale University School of Medicine, New Haven, CT, USA
| | - Joseph L Goulet
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- Pain, Research, Informatics, Multi-morbidities and Education Center (PRIME), West Haven, CT, USA
| | - Krishnan Radhakrishnan
- National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD, USA
| | - John Ko
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Yuli Li
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Nallakkandi Rajeevan
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Kent Heberer
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julie A Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Elani Streja
- Department of Medicine, Nephrology, Hypertension and Transplant, University of California-Irvine School of Medicine, Long Beach, CA, USA
| | - Pradeep Mutalik
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kei-Hoi Cheung
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - John Concato
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Mei-Chiung Shih
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennifer S Lee
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mihaela Aslan
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
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Zakumumpa H, Kwiringira J, Katureebe C, Spicer N. Understanding Uganda's early adoption of novel differentiated HIV treatment services: a qualitative exploration of drivers of policy uptake. BMC Health Serv Res 2023; 23:343. [PMID: 37020290 PMCID: PMC10075495 DOI: 10.1186/s12913-023-09313-x] [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: 10/05/2022] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Although differentiated service delivery (DSD) for HIV treatment was endorsed by the WHO in its landmark 2016 guidelines to lessen patients' need to frequently visit clinics and hence to reduce unnecessary burdens on health systems, uptake has been uneven globally. This paper is prompted by the HIV Policy Lab's annual report of 2022 which reveals substantial variations in programmatic uptake of differentiated HIV treatment services across the globe. We use Uganda as a case study of an 'early adopter' to explore the drivers of programmatic uptake of novel differentiated HIV treatment services. METHODS We conducted a qualitative case-study in Uganda. In-depth interviews were held with national-level HIV program managers (n = 18), district health team members (n = 24), HIV clinic managers (n = 36) and five focus groups with recipients of HIV care (60 participants) supplemented with documentary reviews. Our thematic analysis of the qualitative data was guided by the Consolidated Framework for Implementation Research (CFIR)'s five domains (inner context, outer setting, individuals, process of implementation). RESULTS Our analysis reveals that drivers of Uganda's 'early adoption' of DSD include: having a decades-old HIV treatment intervention implementation history; receiving substantial external donor support in policy uptake; the imperatives of having a high HIV burden; accelerated uptake of select DSD models owing to Covid-19 'lockdown' restrictions; and Uganda's participation in clinical trials underpinning WHO guidance on DSD. The identified processes of implementation entailed policy adoption of DSD (such as the role of local Technical Working Groups in domesticating global guidelines, disseminating national DSD implementation guidelines) and implementation strategies (high-level health ministry buy-in, protracted patient engagement to enhance model uptake, devising metrics for measuring DSD uptake progress) for promoting programmatic adoption. CONCLUSION Our analysis suggests early adoption derives from Uganda's decades-old HIV intervention implementation experience, the imperative of having a high HIV burden which prompted innovations in HIV treatment delivery as well as outer context factors such as receiving substantial external assistance in policy uptake. Our case study of Uganda offers implementation research lessons on pragmatic strategies for promoting programmatic uptake of differentiated treatment HIV services in other countries with a high HIV burden.
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Affiliation(s)
- Henry Zakumumpa
- School of Public Health, Makerere University, Kampala, Uganda.
| | | | - Cordelia Katureebe
- Ministry of Health, AIDS Control Program, Kampala, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | - Neil Spicer
- London School of Hygiene and Tropical Medicine, London, UK
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Wilson HK, Eliot KA, Kolasa KM. Considerations for Incorporating Implementation Science into Dietetics Education. J Acad Nutr Diet 2023; 123:379-385. [PMID: 36496125 DOI: 10.1016/j.jand.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/02/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022]
Affiliation(s)
| | | | - Kathryn M Kolasa
- East Carolina University Brody School of Medicine, Family Medicine, Greenville, North Carolina
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Kurz D, McCrea-Robertson S, Nelson-Brantley H, Befort C. Rural engagement in primary care for optimizing weight reduction (REPOWER): A mixed methods study of patient perceptions. PATIENT EDUCATION AND COUNSELING 2022; 105:2371-2381. [PMID: 34865892 DOI: 10.1016/j.pec.2021.11.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/10/2021] [Accepted: 11/27/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To report on patients' satisfaction and experience of care across three different modes of weight loss counseling. METHODS 1407 patients with obesity in the rural Midwest were enrolled to a 2-year weight management trial through their primary care practice and assigned to one of three treatment conditions: in-clinic individual, in-clinic group, phone group counseling. Patients completed surveys assessing seven domains of satisfaction and experience of care at 6 and 24-months. Post-treatment interviews were conducted to add context to survey responses. RESULTS 1295 (92.0%) and 1230 (87.4%) completed surveys at 6 and 24-months, respectively. Patients in phone group counseling reported lower satisfaction than patients who received in-clinic group or in-clinic individual counseling across all domains at 6-months and five out of seven domains at 24-months. Interviews revealed that patients were more satisfied when they received face-to-face counseling and had meaningful interactions with their primary care provider (PCP) about their weight. CONCLUSION Rural patients with obesity have higher satisfaction and experience of care when weight loss counseling is delivered in a face-to-face environment and when their PCP is involved with their treatment. PRACTICE IMPLICATIONS Primary care practices looking to offer weight loss treatment should consider incorporating some level of face-to-face treatment plans that involves meaningful interaction with the PCP.
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Affiliation(s)
- Daniel Kurz
- University of Kansas School of Medicine, Department of Population Health, Kansas City, KS USA.
| | - Stacy McCrea-Robertson
- University of Kansas School of Medicine, Department of Population Health, Kansas City, KS USA
| | | | - Christie Befort
- University of Kansas School of Medicine, Department of Population Health, Kansas City, KS USA
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Dineen TE, Bean C, Jung ME. Implementation of a diabetes prevention program within two community sites: a qualitative assessment. Implement Sci Commun 2022; 3:11. [PMID: 35123582 PMCID: PMC8817168 DOI: 10.1186/s43058-022-00258-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 01/18/2022] [Indexed: 11/30/2022] Open
Abstract
Background Despite numerous translations of diabetes prevention programs, implementation evaluations are rarely conducted. The purpose of this study was to examine the implementation process and multilevel contextual factors as an evidence-based diabetes prevention program was implemented into two local community organization sites to inform future scale-up. To build the science of implementation, context and strategies must be identified and explored to understand their impact. Methods The program was a brief-counseling diet and exercise modification program for individuals at risk of developing type 2 diabetes. A 1-year collaborative planning process with a local not-for-profit community organization co-developed an implementation plan to translate the program. A pragmatic epistemology guided this research. Semi-structured interviews were conducted with staff who delivered the program (n = 8), and a focus group was completed with implementation support staff (n = 5) at both community sites. Interviews were transcribed verbatim and thematically analyzed using a template approach. The consolidated framework for implementation research (CFIR) is a well-researched multilevel implementation determinant framework and was used to guide the analysis of this study. Within the template approach, salient themes were first inductively identified, then identified themes were deductively linked to CFIR constructs. Results Implementation strategies used were appropriate, well-received, and promoted effective implementation. The implementation plan had an impact on multiple levels as several CFIR constructs were identified from all five domains of the framework: (a) process, (b) intervention characteristics, (c) outer setting, (d) inner setting, and (e) individual characteristics. Specifically, results revealed the collaborative 1-year planning process, program components and structure, level of support, and synergy between program and context were important factors in the implementation. Conclusion This study offers insights into the process of implementing a community-based diabetes prevention program in two local sites. Successful implementation benefited from a fully engaged, partnered approach to planning, and subsequently executing, an implementation effort. The CFIR was a useful and thorough framework to evaluate and identify multilevel contextual factors impacting implementation. Results can be used to inform future implementation and scale-up efforts. Supplementary Information The online version contains supplementary material available at 10.1186/s43058-022-00258-6.
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Affiliation(s)
- Tineke E Dineen
- School of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, 3333 University Way, Kelowna, BC, V1V 1V7, Canada
| | - Corliss Bean
- Department of Recreational and Leisure Studies, Brock University, 1812 Sir Isaac Brock Way, St Catharines, ON, L2S 3A1, Canada
| | - Mary E Jung
- School of Health and Exercise Sciences, University of British Columbia, Okanagan Campus, 3333 University Way, Kelowna, BC, V1V 1V7, Canada.
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Ploeg J, Markle-Reid M, Valaitis R, Fisher K, Ganann R, Blais J, Chambers T, Connors R, Gruneir A, Légaré F, MacIntyre J, Montelpare W, Paquette JS, Poitras ME, Riveroll A, Yous ML. The Aging, Community and Health Research Unit Community Partnership Program (ACHRU-CPP) for older adults with diabetes and multiple chronic conditions: study protocol for a randomized controlled trial. BMC Geriatr 2022; 22:99. [PMID: 35120457 PMCID: PMC8814798 DOI: 10.1186/s12877-021-02651-7] [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: 08/30/2021] [Accepted: 11/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Older adults (≥65 years) with diabetes and multiple chronic conditions (MCC) (> 2 chronic conditions) experience reduced function and quality of life, increased health service use, and high mortality. Many community-based self-management interventions have been developed for this group, however the evidence for their effectiveness is limited. This paper presents the protocol for a randomized controlled trial (RCT) comparing the effectiveness and implementation of the Aging, Community and Health Research Unit-Community Partnership Program (ACHRU-CPP) to usual care in older adults with diabetes and MCC and their caregivers. METHODS We will conduct a cross-jurisdictional, multi-site implementation-effectiveness type II hybrid RCT. Eligibility criteria are: ≥65 years, diabetes diagnosis (Type 1 or 2) and at least one other chronic condition, and enrolled in a primary care or diabetes education program. Participants will be randomly assigned to the intervention (ACHRU-CPP) or control arm (1:1 ratio). The intervention arm consists of home/telephone visits, monthly group wellness sessions, multidisciplinary case conferences, and system navigation support. It will be delivered by registered nurses and registered dietitians/nutritionists from participating primary care or diabetes education programs and program coordinators from community-based organizations. The control arm consists of usual care provided by the primary care setting or diabetes education program. The primary outcome is the change from baseline to 6 months in mental functioning. Secondary outcomes will include, for example, the change from baseline to 6 months in physical functioning, diabetes self-management, depressive symptoms, and cost of use of healthcare services. Analysis of covariance (ANCOVA) models will be used to analyze all outcomes, with intention-to-treat analysis using multiple imputation to address missing data. Descriptive and qualitative data from older adults, caregivers and intervention teams will be used to examine intervention implementation, site-specific adaptations, and scalability potential. DISCUSSION An interprofessional intervention supporting self-management may be effective in improving health outcomes and client/caregiver experience and reducing service use and costs in this complex population. This pragmatic trial includes a scalability assessment which considers a range of effectiveness and implementation criteria to inform the future scale-up of the ACHRU-CPP. TRIAL REGISTRATION Clinical Trials.gov Identifier NCT03664583 . Registration date: September 10, 2018.
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Affiliation(s)
- Jenny Ploeg
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada.
| | - Maureen Markle-Reid
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada
| | - Ruta Valaitis
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada
| | - Kathryn Fisher
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada
| | - Rebecca Ganann
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada
| | - Johanne Blais
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Pavillon Ferdinand-Vandry, 1050, avenue de la Médecine, Local 4617, Québec, G1V 0A6, Canada
| | - Tracey Chambers
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada
| | - Robyn Connors
- Department of Applied Human Sciences, Faculty of Science, University of Prince Edward Island, Room 111, Steel Building, 550 University Avenue, Charlottetown, Prince Edward Island, C1A 4P3, Canada
| | - Andrea Gruneir
- Department of Family Medicine Research Program, University of Alberta, 6-40 University Terrace, Edmonton, Alberta, T6G 2T4, Canada
| | - France Légaré
- VITAM-Centre de recherche en santé durable, Université Laval, Pavillon Landry-Poulin, 2525, Chemin de la Canardière, Quebec City, QC, G1J 0A4, Canada and Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, G1K 7P4, Canada
| | - Janet MacIntyre
- Faculty of Nursing, Room 116, Health Sciences Building, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, C1A 4P3, Canada
| | - William Montelpare
- Margaret and Wallace McCain Chair in Human Development and Health, Department of Applied Human Sciences, Faculty of Science, Room 122, Health Sciences Building, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, C1A 4P3, Canada
| | - Jean-Sébastien Paquette
- Groupe de Médecine de Famile Universitaire (GMF-U) du Nord de Lanaudière and Department of Family Medicine and Emergency Medicine, Faculty of Medicine Université Laval, Pavillon Ferdinand-Vandry, 1050, Avenue de la Médecine, Local 4617, Québec, G1V 0A6, Canada
| | - Marie-Eve Poitras
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke - Campus Saguenay, 305 Rue Saint Vallier, Chicoutimi, QC, G7H 5H6, Canada
| | - Angela Riveroll
- Department of Applied Human Sciences, Faculty of Science, University of Prince Edward Island, Room 115, Steel Building, 550 University Avenue, Charlottetown, Prince Edward Island, C1A 4P3, Canada
| | - Marie-Lee Yous
- School of Nursing, Aging, Community and Health Research Unit, Faculty of Health Sciences, McMaster University, 1280 Main Street West, Room HSc3N25, Hamilton, Ontario, L8S 4K1, Canada
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Tempelaar W, Barwick M, Crawford A, Voineskos A, Addington D, Addington J, Alexander T, Baluyut C, Bromley S, Durbin J, Foussias G, Ford C, de Freitas L, Jindani S, Kirvan A, Kurdyak P, Pauly K, Polillo A, Roby R, Sockalingam S, Sosnowski A, Villanueva V, Wang W, Kozloff N. Adapting Evidence-Based Early Psychosis Intervention Services for Virtual Delivery: Protocol for a Pragmatic Mixed Methods Implementation and Evaluation Study. JMIR Res Protoc 2021; 10:e34591. [PMID: 34806990 PMCID: PMC8653974 DOI: 10.2196/34591] [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: 10/31/2021] [Accepted: 11/04/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Timely and comprehensive treatment in the form of early psychosis intervention (EPI) has become the standard of care for youth with psychosis. While EPI services were designed to be delivered in person, the COVID-19 pandemic required many EPI programs to rapidly transition to virtual delivery, with little evidence to guide intervention adaptations or to support the effectiveness and satisfaction with virtual EPI services. OBJECTIVE This study aims to explore the adaptations required to deliver NAVIGATE, a model of coordinated specialty care used in EPI, in a virtual format. This study will evaluate implementation of the NAVIGATE model delivered virtually by describing the nature of the adaptations to the intervention, assessing fidelity to the EPI model and the satisfaction of clients, family members, and care providers. We will investigate barriers and facilitators to virtual NAVIGATE implementation, service engagement, and health equity impacts of this work. METHODS The Centre for Addiction and Mental Health (Toronto, Ontario, Canada) transitioned to delivering NAVIGATE virtually early in the COVID-19 pandemic. The Framework for Reporting Adaptations and Modifications for Evidence-Based Interventions will be used to describe the adaptations required to deliver NAVIGATE virtually. Fidelity to the EPI model will be measured using the First Episode Psychosis Services Fidelity Scale and fidelity to NAVIGATE will be assessed by investigating adherence to its core components. Implementation facilitators and barriers will be explored using semistructured interviews with providers informed by the Consolidated Framework for Implementation Research. Satisfaction with virtually delivered NAVIGATE will be assessed with virtual client and provider experience surveys and qualitative interviews with clients, family members, and providers. Service engagement data will be collected through review of medical records, and potential impacts of virtually delivered NAVIGATE on different population groups will be assessed with the Health Equity Impact Assessment. RESULTS Virtual clinical delivery of NAVIGATE started in March 2020 with additional adaptations and data collection is ongoing. Data will be analyzed using descriptive statistics and survival analysis for quantitative data. Qualitative data will be analyzed using thematic content analysis. Integration of qualitative and quantitative data will occur at the data collection, interpretation, and reporting levels following a convergent design. CONCLUSIONS This study will provide information regarding the type of intervention adaptations required for virtual delivery of NAVIGATE for youth with early psychosis, ensuring access to high-quality care for this population during the pandemic and beyond by guiding future implementation in similar contexts. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/34591.
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Affiliation(s)
- Wanda Tempelaar
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Melanie Barwick
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Child Health Evaluative Sciences, SickKids Research Institute, The Hospital for Sick Children, Toronto, ON, Canada
| | - Allison Crawford
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Virtual Mental Health and Outreach, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Aristotle Voineskos
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Donald Addington
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jean Addington
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Crystal Baluyut
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sarah Bromley
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Janet Durbin
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Provincial System Support Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - George Foussias
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Catherine Ford
- Mental Health Addiction, Ontario Ministry of Health, Toronto, ON, Canada
| | - Lauren de Freitas
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Seharish Jindani
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Anne Kirvan
- Virtual Mental Health and Outreach, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Paul Kurdyak
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, ON, Canada
| | - Kirstin Pauly
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Alexia Polillo
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Rachel Roby
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sanjeev Sockalingam
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Education, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Alexandra Sosnowski
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Wei Wang
- Centre for Addiction and Mental Health, Toronto, ON, Canada
- College of Public Health, University of South Florida, Tampa, FL, United States
| | - Nicole Kozloff
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, 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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Cohen F, Hermosilla S, Knox J, Agaba GS, Obalim G, Kajungu R, Mangen PO, Stark L. Protocol for a caregiver psychosocial support intervention for populations affected by displacement in Uganda. BMC Public Health 2021; 21:932. [PMID: 34001055 PMCID: PMC8127267 DOI: 10.1186/s12889-021-10921-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 04/26/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Child psychological distress in refugee settings is a significant public health concern, which is exacerbated by poor caregiver mental health and functioning. However, there are limited studies about effective interventions to improve caregiver mental health in support of child wellbeing. The objective of the current study is to evaluate the effectiveness and implementation of the Journey of Life (JoL) intervention to improve caregiver mental health in a refugee camp in Western Uganda. METHODS A waitlist-control quasi-experimental design is being implemented in the Kiryandongo refugee settlement (intervention n = 600, control n = 600). Caregiver mental distress, measured using the Kessler-6, was selected as the primary outcome. Secondary outcomes include (a) functioning measured by the World Health Organization Disability Assessment Schedule, (b) social support measured by the Medical Outcomes Study Social Support Survey, and (c) caregiving behaviors according to the Parental Acceptance and Rejection Questionnaire and the Child Protection Index. The study aims to examine the implementation of the JoL intervention through qualitative assessments of intervention feasibility, adaptations, and reach. DISCUSSION This trial will add much-needed evidence for the implementation of caregiver psychosocial programming within the humanitarian community. Findings will be disseminated amongst local, regional, and global actors in order to guide potential scale up within humanitarian settings. TRIAL REGISTRATION Clinical Trials NCT04817098 (Registered: 3/24/21).
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Affiliation(s)
- Flora Cohen
- Washington University in St. Louis, Box 1196, 1 Brookings Drive, St. Louis, MO, 63130, USA
| | | | - Justin Knox
- Columbia University, New York, NY, 10027, USA
| | - Gary Samuel Agaba
- Transcultural Psychosocial Organization Uganda, P.O. Box 21646, Kampala, Uganda
| | - Grace Obalim
- Transcultural Psychosocial Organization Uganda, P.O. Box 21646, Kampala, Uganda
| | - Rehema Kajungu
- Transcultural Psychosocial Organization Uganda, P.O. Box 21646, Kampala, Uganda
| | | | - Lindsay Stark
- Washington University in St. Louis, Box 1196, 1 Brookings Drive, St. Louis, MO, 63130, USA.
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11
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Choi H, Jung YI, Kim H. Implementation fidelity of the Systems for Person-Centered Elder Care (SPEC): a process evaluation study. Implement Sci 2021; 16:52. [PMID: 33980251 PMCID: PMC8117605 DOI: 10.1186/s13012-021-01113-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 04/07/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Systems for Person-Centered Elder Care (SPEC), a complex intervention, was conducted to examine its effectiveness as a technology-enhanced, multidisciplinary, and integrated care model for frail older persons among ten nursing homes (NHs) in South Korea where formal long-term care has recently been introduced. The purpose of this study was to evaluate the implementation fidelity of the SPEC intervention and to identify moderating factors that influence the implementation fidelity. METHODS This study was a process evaluation based on an evidence-based framework for implementation fidelity using a mixed-methods design. Quantitative data from consultant logbooks, NH documentations, an information and communications technology (ICT) system, and a standardized questionnaire were collected from April 2015 to December 2016 and analyzed by calculating the descriptive statistics. Semi-structured focus group interviews were held with multidisciplinary teams from the participating NHs. Qualitative data from a semi-structured questionnaire and the focus group interviews were analyzed using content analysis. RESULTS The SPEC program demonstrated good implementation fidelity, and adherence to the SPEC program was strong in all aspects, such as content, coverage, frequency, and duration. Of the participating on-site coordinators, 60% reported that the SPEC model positively impacted needs assessment and the reporting system for resident care. The important facilitating factors were tailored facilitating strategies, assurance of the quality of delivery, and recruitment strategies. CONCLUSION The effectiveness of the SPEC program was driven by good implementation fidelity. The key factors of good implementation fidelity were tailored delivery of evidence-based interventions over process evaluation work, facilitating strategies, and ICT support. Larger implementation studies with a more user-friendly ICT system are recommended. TRIAL REGISTRATION ISRCTN registry, ISRCTN11972147 . Registered on 16 March 2015.
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Affiliation(s)
- Hyoungshim Choi
- Department of Nursing, Hansei University, 30 Hansei-ro, Gyeong-gi, South Korea
| | - Young-Il Jung
- Department of Environmental Health, Korea National Open University, 86 Daehak-ro, Jongno-gu, Seoul, South Korea
| | - Hongsoo Kim
- Graduate School of Public Health, Department of Public Health Sciences, Institute of Aging, Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, South Korea.
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12
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Raghavan S, Jablonski K, Delahanty LM, Maruthur NM, Leong A, Franks PW, Knowler WC, Florez JC, Dabelea D. Interaction of diabetes genetic risk and successful lifestyle modification in the Diabetes Prevention Programme. Diabetes Obes Metab 2021; 23:1030-1040. [PMID: 33394545 PMCID: PMC8852694 DOI: 10.1111/dom.14309] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/20/2020] [Accepted: 12/23/2020] [Indexed: 12/13/2022]
Abstract
AIM To test whether diabetes genetic risk modifies the association of successful lifestyle changes with incident diabetes. MATERIALS AND METHODS We studied 823 individuals randomized to the intensive lifestyle intervention (ILS) arm of the Diabetes Prevention Programme who were diabetes-free 1 year after enrolment. We tested additive and multiplicative interactions of a 67-variant diabetes genetic risk score (GRS) with achievement of three ILS goals at 1 year (≥7% weight loss, ≥150 min/wk of moderate leisure-time physical activity, and/or a goal for self-reported total fat intake) on the primary outcome of incident diabetes over 3 years of follow-up. RESULTS A lower GRS and achieving each or all three ILS goals were each associated with lower incidence of diabetes (all P < 0.05). Additive interactions were significant between the GRS and achievement of the weight loss goal (P < 0.001), physical activity goal (P = 0.02), and all three ILS goals (P < 0.001) for diabetes risk. Achievement of all three ILS goals was associated with 1.8 (95% CI 0.3, 3.4), 3.1 (95% CI 1.5, 4.7), and 3.9 (95% CI 1.6, 6.2) fewer diabetes cases/100-person-years in the first, second and third GRS tertiles (P < 0.001 for trend). Multiplicative interactions between the GRS and ILS goal achievement were significant for the diet goal (P < 0.001), but not for weight loss (P = 0.18) or physical activity (P = 0.62) goals. CONCLUSIONS Genetic risk may identify high-risk subgroups for whom successful lifestyle modification is associated with greater absolute reduction in the risk of incident diabetes.
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Affiliation(s)
- Sridharan Raghavan
- Department of Veterans Affairs Eastern Colorado Healthcare System, Aurora, CO
- Division of Hospital Medicine, University of Colorado School of Medicine, Aurora, CO
- Colorado Cardiovascular Outcomes Research Consortium, Aurora, CO
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, Aurora, CO
| | - Kathleen Jablonski
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Linda M. Delahanty
- Diabetes Unit and Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Nisa M. Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Aaron Leong
- Diabetes Unit and Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Paul W. Franks
- Genetic & Molecular Epidemiology Unit, Lund University Diabetes Center, Department of Clinical Science, Malmö, Sweden
| | - William C. Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Jose C. Florez
- Diabetes Unit and Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA
| | - Dana Dabelea
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, Colorado School of Public Health, Aurora, CO
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO
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Zubkoff L, Lyons KD, Dionne-Odom JN, Hagley G, Pisu M, Azuero A, Flannery M, Taylor R, Carpenter-Song E, Mohile S, Bakitas MA. A cluster randomized controlled trial comparing Virtual Learning Collaborative and Technical Assistance strategies to implement an early palliative care program for patients with advanced cancer and their caregivers: a study protocol. Implement Sci 2021; 16:25. [PMID: 33706770 PMCID: PMC7951124 DOI: 10.1186/s13012-021-01086-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 01/26/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Virtual Learning Collaboratives (VLC), learning communities focused on a common purpose, are used frequently in healthcare settings to implement best practices. Yet, there is limited research testing the effectiveness of this approach compared to other implementation strategies. This study evaluates the effectiveness of a VLC compared to Technical Assistance (TA) among community oncology practices implementing ENABLE (Educate, Nurture, Advise, Before Life Ends), an evidence-based, early palliative care telehealth, psycho-educational intervention for patients with newly diagnosed advanced cancer and their caregivers. METHODS Using Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) and Proctor's Implementation Outcomes Frameworks, this two-arm hybrid type-III cluster-randomized controlled trial (RCT) will compare two implementation strategies, VLC versus TA, among the 48 National Cancer Institute Community Oncology Research Program (NCORP) practice clusters that have not historically provided palliative care to all patients with advanced cancer. Three cohorts of practice clusters will be randomized to the study arms. Each practice cluster will recruit 15-27 patients and a family caregiver to participate in ENABLE. The primary study outcome is ENABLE uptake (patient level), i.e., the proportion of eligible patients who complete the ENABLE program (receive a palliative care assessment and complete the six ENABLE sessions over 12 weeks). The secondary outcome is overall program implementation (practice cluster level), as measured by the General Organizational Index at baseline, 6, and 12 months. Exploratory aims assess patient and caregiver mood and quality of life outcomes at baseline, 12, and 24 weeks. Practice cluster randomization will seek to keep the proportion of rural practices, practice sizes, and minority patients seen within each practice balanced across the two study arms. DISCUSSION This study will advance the field of implementation science by evaluating VLC effectiveness, a commonly used but understudied, implementation strategy. The study will advance the field of palliative care by building the capacity and infrastructure to implement an early palliative care program in community oncology practices. TRIAL REGISTRATION Clinicaltrials.gov . NCT04062552; Pre-results. Registered: August 20, 2019. https://clinicaltrials.gov/ct2/show/NCT04062552?term=NCT04062552&draw=2&rank=1.
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Affiliation(s)
- Lisa Zubkoff
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
- Birmingham/Atlanta VA Geriatric Research Education and Clinical Center (GRECC), Department of Veterans Affairs, Birmingham, AL, USA.
| | - Kathleen Doyle Lyons
- Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
- Department of Psychiatry, Geisel School of Medicine, Hanover, NH, USA
| | - J Nicholas Dionne-Odom
- School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Gerontology, Geriatrics and Palliative Care, UAB Center for Palliative and Supportive Care, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- O'Neal Comprehensive Cancer Center, Birmingham, AL, USA
| | | | - Maria Pisu
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- O'Neal Comprehensive Cancer Center, Birmingham, AL, USA
| | - Andres Azuero
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Gerontology, Geriatrics and Palliative Care, UAB Center for Palliative and Supportive Care, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marie Flannery
- University of Rochester Medical Center, Rochester, NY, USA
| | - Richard Taylor
- School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Gerontology, Geriatrics and Palliative Care, UAB Center for Palliative and Supportive Care, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Supriya Mohile
- University of Rochester Medical Center, Rochester, NY, USA
| | - Marie Anne Bakitas
- School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Gerontology, Geriatrics and Palliative Care, UAB Center for Palliative and Supportive Care, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
- O'Neal Comprehensive Cancer Center, Birmingham, AL, USA
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Shoemaker-Hunt SJ, Evans L, Swan H, Bacon O, Ike B, Baldwin LM, Parchman ML. Study protocol for evaluating Six Building Blocks for opioid management implementation in primary care practices. Implement Sci Commun 2020; 1:16. [PMID: 32885178 PMCID: PMC7427954 DOI: 10.1186/s43058-020-00008-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/09/2019] [Indexed: 11/10/2022] Open
Abstract
Background The Six Building Blocks for improving opioid management (6BBs) is a program for improving the management of patients in primary care practices who are on long-term opioid therapy for chronic pain. The 6BBs include building leadership and consensus; aligning policies, patient agreements, and workflows; tracking and monitoring patient care; conducting planned, patient-centered visits; tailoring care for complex patients; and measuring success. The Agency for Healthcare Research and Quality funded the development of a 6BBs implementation guide: a step-by-step approach for independently implementing the 6BBs in a practice. This mixed-method study seeks to assess practices’ use of the implementation guide to implement the 6BBs and the effectiveness of 6BBs implementation on opioid management processes of care among practices using the implementation guide. Methods Data collection is guided by the Consolidated Framework for Implementation Research, Proctor’s taxonomy of implementation outcomes, and the Centers for Disease Control and Prevention’s Guideline for Prescribing Opioids for Chronic Pain. A diverse group of health care organizations with primary care clinics across the USA will participate in the study over 15 months. Qualitative data collection will include semi-structured interviews with stakeholders at each organization at two time points, notes from routine check-in calls, and document review. These data will be used to understand practices’ motivation for participation, history with opioid management efforts, barriers and facilitators to implementation, and implementation progress. Quantitative data collection will consist of a provider and staff survey, an implementation milestones assessment, and quarterly opioid prescribing quality measures. These data will supplement our understanding of implementation progress and will allow us to assess changes over time in providers’ opioid prescribing practices, prescribing self-efficacy, challenges to providing guideline-driven care, and practices’ opioid prescribing quality measures. Qualitative data will be coded and analyzed for emergent themes. Quantitative data will be analyzed using descriptive statistics and clustered multivariate regression. Discussion This study contributes to the knowledge of the implementation and effectiveness of a team-based approach to opioid management in primary care practices. Information gleaned from this study can be used to inform efforts to curtail opioid prescribing and assist primary care practices considering implementing the 6BBs.
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Affiliation(s)
| | - Leigh Evans
- Division of Health and Environment, Abt Associates, Inc., Cambridge, USA
| | - Holly Swan
- Division of Health and Environment, Abt Associates, Inc., Cambridge, USA
| | - Olivia Bacon
- Division of Health and Environment, Abt Associates, Inc., Cambridge, USA
| | - Brooke Ike
- Department of Family Medicine, University of Washington, Seattle, USA
| | - Laura-Mae Baldwin
- Department of Family Medicine, University of Washington, Seattle, USA
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Bergström A, Ehrenberg A, Eldh AC, Graham ID, Gustafsson K, Harvey G, Hunter S, Kitson A, Rycroft-Malone J, Wallin L. The use of the PARIHS framework in implementation research and practice-a citation analysis of the literature. Implement Sci 2020; 15:68. [PMID: 32854718 PMCID: PMC7450685 DOI: 10.1186/s13012-020-01003-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/20/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The Promoting Action on Research Implementation in Health Services (PARIHS) framework was developed two decades ago and conceptualizes successful implementation (SI) as a function (f) of the evidence (E) nature and type, context (C) quality, and the facilitation (F), [SI = f (E,C,F)]. Despite a growing number of citations of theoretical frameworks including PARIHS, details of how theoretical frameworks are used remains largely unknown. This review aimed to enhance the understanding of the breadth and depth of the use of the PARIHS framework. METHODS This citation analysis commenced from four core articles representing the key stages of the framework's development. The citation search was performed in Web of Science and Scopus. After exclusion, we undertook an initial assessment aimed to identify articles using PARIHS and not only referencing any of the core articles. To assess this, all articles were read in full. Further data extraction included capturing information about where (country/countries and setting/s) PARIHS had been used, as well as categorizing how the framework was applied. Also, strengths and weaknesses, as well as efforts to validate the framework, were explored in detail. RESULTS The citation search yielded 1613 articles. After applying exclusion criteria, 1475 articles were read in full, and the initial assessment yielded a total of 367 articles reported to have used the PARIHS framework. These articles were included for data extraction. The framework had been used in a variety of settings and in both high-, middle-, and low-income countries. With regard to types of use, 32% used PARIHS in planning and delivering an intervention, 50% in data analysis, 55% in the evaluation of study findings, and/or 37% in any other way. Further analysis showed that its actual application was frequently partial and generally not well elaborated. CONCLUSIONS In line with previous citation analysis of the use of theoretical frameworks in implementation science, we also found a rather superficial description of the use of PARIHS. Thus, we propose the development and adoption of reporting guidelines on how framework(s) are used in implementation studies, with the expectation that this will enhance the maturity of implementation science.
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Affiliation(s)
- Anna Bergström
- Department of Women’s and Children’s health, Uppsala Global Health Research on Implementation and Sustainability (UGHRIS), Uppsala, Sweden
- Institute for Global Health, University College London, London, UK
| | - Anna Ehrenberg
- School of Education, Health, and Social Studies, Dalarna University, Falun, Sweden
- Adelaide Nursing School, University of Adelaide, Adelaide, Australia
| | - Ann Catrine Eldh
- Department of Medicine and Health, Linköping University, Linköping, Sweden
- Department of Public Health and Caring Science, Uppsala University, Uppsala, Sweden
| | - Ian D. Graham
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
- Ottawa Hospital Research Institute, Ottawa, Canada
| | - Kazuko Gustafsson
- School of Education, Health, and Social Studies, Dalarna University, Falun, Sweden
- University Library, Uppsala University, Uppsala, Sweden
| | - Gillian Harvey
- Adelaide Nursing School, University of Adelaide, Adelaide, Australia
| | - Sarah Hunter
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Alison Kitson
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Green Templeton College, University of Oxford, Oxford, UK
| | - Jo Rycroft-Malone
- Division of Health Research, Faculty of Health and Medicine, Lancaster University, Lancashire, UK
| | - Lars Wallin
- School of Education, Health, and Social Studies, Dalarna University, Falun, Sweden
- Department of Health and Care Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Heisler M, Kullgren J, Richardson C, Stoll S, Alvarado Nieves C, Wiley D, Sedgwick T, Adams A, Hedderson M, Kim E, Rao M, Schmittdiel JA. Study protocol: Using peer support to aid in prevention and treatment in prediabetes (UPSTART). Contemp Clin Trials 2020; 95:106048. [PMID: 32497783 PMCID: PMC8059966 DOI: 10.1016/j.cct.2020.106048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 05/20/2020] [Accepted: 05/25/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND There is an urgent need to develop and evaluate effective and scalable interventions to prevent or delay the onset of type 2 diabetes mellitus (T2DM). METHODS In this randomized controlled pragmatic trial, 296 adults with prediabetes will be randomized to either a peer support arm or enhanced usual care. Participants in the peer support arm meet face-to-face initially with a trained peer coach who also is a patient at the same health center to receive information on locally available wellness and diabetes prevention programs, discuss behavioral goals related to diabetes prevention, and develop an action plan for the next week to meet their goals. Over six months, peer coaches call their assigned participants weekly to provide support for weekly action steps. In the final 6 months, coaches call participants at least once monthly. Participants in the enhanced usual care arm receive information on local resources and periodic updates on available diabetes prevention programs and resources. Changes in A1c, weight, waist circumference and other patient-centered outcomes and mediators and moderators of intervention effects will be assessed. RESULTS At least 296 participants and approximately 75 peer supporters will be enrolled. DISCUSSION Despite evidence that healthy lifestyle interventions can improve health behaviors and reduce risk for T2DM, engagement in recommended behavior change is low. This is especially true among racial and ethnic minority and low-income adults. Regular outreach and ongoing support from a peer coach may help participants to initiate and sustain healthy behavior changes to reduce their risk of diabetes. TRIAL REGISTRATION The ClinicalTrials.gov registration number is NCT03689530.
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Affiliation(s)
- Michele Heisler
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States of America.
| | - Jeffrey Kullgren
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States of America; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, United States of America; University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI, United States of America.
| | - Caroline Richardson
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America.
| | - Shelley Stoll
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States of America.
| | - Cristina Alvarado Nieves
- University of Michigan, Department of Internal Medicine- Metabolism, Endocrinology and Diabetes, United States of America.
| | - Deanne Wiley
- Kaiser Permanente Northern California, United States of America.
| | - Tali Sedgwick
- Kaiser Permanente Northern California Division of Research, United States of America.
| | - Alyce Adams
- Kaiser Permanente Northern California, United States of America.
| | | | - Eileen Kim
- The Permanente Medical Group (Kaiser Permanente, Northern California), United States of America.
| | - Megan Rao
- The Permanente Medical Group (Kaiser Permanente, Northern California), United States of America.
| | - Julie A Schmittdiel
- Kaiser Permanente Northern California Division of Research, United States of America.
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17
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Kozloff N, Foussias G, Durbin J, Sockalingam S, Addington J, Addington D, Ampofo A, Anderson KK, Barwick M, Bromley S, Cunningham JEA, Dahrouge S, Duda L, Ford C, Gallagher S, Haltigan JD, Henderson J, Jaouich A, Miranda D, Mitchell P, Morin J, de Oliveira C, Primeau V, Serhal E, Soklaridis S, Urajnik D, Whittard K, Zaheer J, Kurdyak P, Voineskos AN. Early Psychosis Intervention-Spreading Evidence-based Treatment (EPI-SET): protocol for an effectiveness-implementation study of a structured model of care for psychosis in youth and emerging adults. BMJ Open 2020; 10:e034280. [PMID: 32499262 PMCID: PMC7282307 DOI: 10.1136/bmjopen-2019-034280] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION While early psychosis intervention (EPI) has proliferated in recent years amid evidence of its effectiveness, programmes often struggle to deliver consistent, recovery-based care. NAVIGATE is a manualised model of EPI with demonstrated effectiveness consisting of four components: individualised medication management, individual resiliency training, supported employment and education and family education. We aim to implement NAVIGATE in geographically diverse EPI programmes in Ontario, Canada, evaluating implementation and its effect on fidelity to the EPI model, as well as individual-level outcomes (patient/family member-reported and interviewer-rated), system-level outcomes (captured in provincial administrative databases) and engagement of participants with lived experience. METHODS AND ANALYSIS This is a multisite, non-randomised pragmatic hybrid effectiveness-implementation type III mixed methods study coordinated at the Centre for Addiction and Mental Health (CAMH) in Toronto. Implementation is supported by the Provincial System Support Program, a CAMH-based programme with provincial offices across Ontario, and Extension of Community Healthcare Outcomes Ontario Mental Health at CAMH and the University of Toronto. The primary outcome is fidelity to the EPI model as measured using the First Episode Psychosis Services-Fidelity Scale. Four hundred participants in the EPI programmes will be recruited and followed using both individual-level assessments and health administrative data for 2 years following NAVIGATE initiation. People with lived experience will be engaged in all aspects of the project, including through youth and family advisory committees. ETHICS AND DISSEMINATION Research ethics board approval has been obtained from CAMH and institutions overseeing the local EPI programmes. Study findings will be reported in scientific journal articles and shared with key stakeholders including youth, family members, programme staff and policymakers. TRIAL REGISTRATION NUMBER NCT03919760; Pre-results.
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Affiliation(s)
- Nicole Kozloff
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - George Foussias
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Janet Durbin
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Provincial System Support Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sanjeev Sockalingam
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Education, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Donald Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Augustina Ampofo
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Kelly K Anderson
- Epidemiology & Biostatistics, Western University, London, Ontario, Canada
| | - Melanie Barwick
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Child Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada
| | - Sarah Bromley
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jasmyn E A Cunningham
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Simone Dahrouge
- C.T. Lamont Primary Health Care Research Centre, Bruyere Research Institute, Ottawa, Ontario, Canada
- Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Lillian Duda
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - Sheila Gallagher
- Durham Amaze Early Psychosis Intervention Program, Lakeridge Health, Whitby, Ontario, Canada
| | - John D Haltigan
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Child and Youth Psychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Joanna Henderson
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Alexia Jaouich
- Provincial System Support Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Dielle Miranda
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | | | - Josette Morin
- Regional Early Intervention in Psychosis Service, North Bay Regional Health Centre, North Bay, Ontario, Canada
| | - Claire de Oliveira
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Valerie Primeau
- Regional Early Intervention in Psychosis Service, North Bay Regional Health Centre, North Bay, Ontario, Canada
| | - Eva Serhal
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Telepsychiatry, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sophie Soklaridis
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Education, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Diana Urajnik
- Human Sciences, Social and Population Health, Northern Ontario School of Medicine, Sudbury, Ontario, Canada
- Centre for Rural and Northern Health Research, Laurentian University, Sudbury, Ontario, Canada
| | - Krista Whittard
- Early Psychosis Intervention, Niagara Region Public Health, Thorold, Ontario, Canada
| | - Juveria Zaheer
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Paul Kurdyak
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Aristotle N Voineskos
- Slaight Family Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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18
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Chirwa E, Kapito E, Jere DL, Kafulafula U, Chodzaza E, Chorwe-Sungani G, Gresh A, Liu L, Abrams ET, Klima CS, McCreary LL, Norr KF, Patil CL. An effectiveness-implementation hybrid type 1 trial assessing the impact of group versus individual antenatal care on maternal and infant outcomes in Malawi. BMC Public Health 2020; 20:205. [PMID: 32039721 PMCID: PMC7008527 DOI: 10.1186/s12889-020-8276-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 01/27/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sub-Saharan Africa has the world's highest rates of maternal and perinatal mortality and accounts for two-thirds of new HIV infections and 25% of preterm births. Antenatal care, as the entry point into the health system for many women, offers an opportunity to provide life-saving monitoring, health promotion, and health system linkages. Change is urgently needed, because potential benefits of antenatal care are not realized when pregnant women experience long wait times and short visits with inconsistent provisioning of essential services and minimal health promotion, especially for HIV prevention. This study answers WHO's call for the rigorous study of group antenatal care as a transformative model that provides a positive pregnancy experience and improves outcomes. METHODS Using a hybrid type 1 effectiveness-implementation design, we test the effectiveness of group antenatal care by comparing it to individual care across 6 clinics in Blantyre District, Malawi. Our first aim is to evaluate the effectiveness of group antenatal care through 6 months postpartum. We hypothesize that women in group care and their infants will have less morbidity and mortality and more positive HIV prevention outcomes. We will test hypotheses using multi-level hierarchical models using data from repeated surveys (four time points) and health records. Guided by the consolidated framework for implementation research, our second aim is to identify contextual factors related to clinic-level degree of implementation success. Analyses use within and across-case matrices. DISCUSSION This high-impact study addresses three global health priorities, including maternal and infant mortality, HIV prevention, and improved quality of antenatal care. Results will provide rigorous evidence documenting the effectiveness and scalability of group antenatal care. If results are negative, governments will avoid spending on less effective care. If our study shows positive health impacts in Malawi, the results will provide strong evidence and valuable lessons learned for widespread scale-up in other low-resource settings. Positive maternal, neonatal, and HIV-related outcomes will save lives, impact the quality of antenatal care, and influence health policy as governments make decisions about whether to adopt this innovative healthcare model. TRIAL REGISTRATION ClinicalTrials.gov registration number NCT03673709. Registered on September 17, 2018.
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Affiliation(s)
- Ellen Chirwa
- University of Malawi, Kamuzu College of Nursing, PO Box 415, Blantyre, Malawi
| | - Esnath Kapito
- University of Malawi, Kamuzu College of Nursing, PO Box 415, Blantyre, Malawi
| | - Diana L Jere
- University of Malawi, Kamuzu College of Nursing, PO Box 415, Blantyre, Malawi
| | - Ursula Kafulafula
- University of Malawi, Kamuzu College of Nursing, PO Box 415, Blantyre, Malawi
| | - Elizabeth Chodzaza
- University of Malawi, Kamuzu College of Nursing, PO Box 415, Blantyre, Malawi
| | | | - Ashley Gresh
- Johns Hopkins University, School of Nursing, 525 North Wolfe Street, Baltimore, MD, 21205, USA
| | - Li Liu
- University of Illinois at Chicago, School of Public Health, 1603 W. Taylor Street (M/C 932), Chicago, IL, 60612, USA
| | - Elizabeth T Abrams
- University of Illinois at Chicago, College of Nursing, 845 S. Damen Avenue (M/C 806), Chicago, IL, 60612, USA
| | - Carrie S Klima
- University of Illinois at Chicago, College of Nursing, 845 S. Damen Avenue (M/C 806), Chicago, IL, 60612, USA
| | - Linda L McCreary
- University of Illinois at Chicago, College of Nursing, 845 S. Damen Avenue (M/C 806), Chicago, IL, 60612, USA
| | - Kathleen F Norr
- University of Illinois at Chicago, College of Nursing, 845 S. Damen Avenue (M/C 806), Chicago, IL, 60612, USA
| | - Crystal L Patil
- University of Illinois at Chicago, College of Nursing, 845 S. Damen Avenue (M/C 806), Chicago, IL, 60612, USA.
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19
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Damschroder LJ. Clarity out of chaos: Use of theory in implementation research. Psychiatry Res 2020; 283:112461. [PMID: 31257020 DOI: 10.1016/j.psychres.2019.06.036] [Citation(s) in RCA: 156] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/21/2019] [Accepted: 06/22/2019] [Indexed: 10/26/2022]
Abstract
Implementation science has been recognized as a potential catalyst for health system reform, in part, because of its contribution of well-grounded conceptual theories, often encapsulated in frameworks. Well-designed frameworks provide a semantic structure, a common language by which to guide systematic approaches to studying implementation and testing interventions. An overview of the types and roles of theory in advancing implementation science is offered in this article. Resources for selecting appropriate frameworks are described along with illustrative examples. The case is made that well-developed theory is what enables knowledge to emerge out of seeming chaos and for translation of that knowledge to be widely and reliably implemented into routine practice so that health and well-being of patients is maximized by delivery of interventions that are rooted in that knowledge.
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20
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Zullig LL, Smith VA, Lindquist JH, Williams CD, Weinberger M, Provenzale D, Jackson GL, Kelley MJ, Danus S, Bosworth HB. Cardiovascular disease-related chronic conditions among Veterans Affairs nonmetastatic colorectal cancer survivors: a matched case-control analysis. Cancer Manag Res 2019; 11:6793-6802. [PMID: 31413631 PMCID: PMC6659791 DOI: 10.2147/cmar.s191040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 05/29/2019] [Indexed: 01/13/2023] Open
Abstract
Purpose The growing number of colorectal cancer (CRC) survivors often have multiple chronic conditions. Comparing nonmetastatic CRC survivors and matched noncancer controls, our objectives were to determine the odds of CRC survivors being diagnosed with cardiovascular disease (CVD)-related chronic conditions and their likelihood of control during the year after CRC diagnosis. Patients and methods We retrospectively identified patients diagnosed with nonmetastatic CRC in the Veterans Affairs health care system from fiscal years 2009 to 2012 and matched each with up to 3 noncancer control patients. We used logistic regression to assess differences in the likelihood of being diagnosed with CVD-related chronic conditions and control between nonmetastatic CRC survivors and noncancer controls. Results We identified 9,758 nonmetastatic CRC patients and matched them to 29,066 noncancer controls. At baseline, 69.4% of CRC survivors and their matched controls were diagnosed with hypertension, 52.4% with hyperlipidemia, and 36.7% with diabetes. Compared to matched noncancer controls, CRC survivors had 57% higher odds of being diagnosed with hypertension (OR=1.57, 95% CI=1.49–1.64) and 7% higher odds of controlled blood pressure (OR=1.07, 95% CI 1.02, 1.13) in the subsequent year. Compared to matched noncancer control patients, CRC survivors had half the odds of being diagnosed with hyperlipidemia (OR=0.50, 95% CI=0.48–0.52) and lower odds of low-density lipoprotein (LDL) control (OR 0.88, 95% CI 0.81–0.94). There were no significant differences between groups for diabetes diagnoses or control. Conclusion Compared to noncancer controls, nonmetastatic CRC survivors have 1) greater likelihood of being diagnosed with hypertension and worse blood pressure control in the year following diagnosis; 2) lower likelihood of being diagnosed with hyperlipidemia or LDL control; and 3) comparable diabetes diagnoses and control. There may be a need for hypertension control interventions targeting cancer survivors.
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Affiliation(s)
- Leah L Zullig
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA.,Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - Valerie A Smith
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA.,Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - Jennifer H Lindquist
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Christina D Williams
- Division of Medical Oncology, Department of Medicine, Duke University, Durham, NC, USA.,Cooperative Studies Program Epidemiology Center , Durham, NC, USA
| | - Morris Weinberger
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA.,Department of Health Policy and Management, University of North Carolina, Chapel Hill, NC, USA
| | - Dawn Provenzale
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA.,Cooperative Studies Program Epidemiology Center , Durham, NC, USA
| | - George L Jackson
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA.,Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - Michael J Kelley
- Office of Specialty Care Services, Department of Veterans Affairs , Washington, DC, USA.,Hematology-Oncology Service, Durham Veterans Affairs Medical Center , Durham, NC, USA.,Department of Medicine, Duke University, Durham, NC, USA
| | - Susanne Danus
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Hayden B Bosworth
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Health Care System, Durham, NC, USA.,Department of Population Health Sciences, Duke University, Durham, NC, USA.,Departments of Psychiatry and School of Nursing, Duke University, Durham, NC, USA
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21
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Musinguzi G, Wanyenze RK, Ndejjo R, Ssinabulya I, van Marwijk H, Ddumba I, Bastiaens H, Nuwaha F. An implementation science study to enhance cardiovascular disease prevention in Mukono and Buikwe districts in Uganda: a stepped-wedge design. BMC Health Serv Res 2019; 19:253. [PMID: 31023311 PMCID: PMC6482572 DOI: 10.1186/s12913-019-4095-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Accepted: 04/12/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Uganda is experiencing a shift in major causes of death with cases of stroke, heart attack, and heart failure reportedly on the rise. In a study in Mukono and Buikwe in Uganda, more than one in four adults were reportedly hypertensive. Moreover, very few (36.5%) reported to have ever had a blood pressure measurement. The rising burden of CVD is compounded by a lack of integrated primary health care for early detection and treatment of people with increased risk. Many people have less access to effective and equitable health care services which respond to their needs. Capacity gaps in human resources, equipment, and drug supply, and laboratory capabilities are evident. Prevention of risk factors for CVD and provision of effective and affordable treatment to those who require it prevent disability and death and improve quality of life. The aim of this study is to improve health profiles for people with intermediate and high risk factors for CVD at the community and health facility levels. The implementation process and effectiveness of interventions will be evaluated. METHODS The overall study is a type 2-hybrid stepped-wedge (SW) design. The design employs mixed methods evaluations with incremental execution and adaptation. Sequential crossover take place from control to intervention until all are exposed. The study will take place in Mukono and Buikwe districts in Uganda, home to more than 1,000,000 people at the community and primary healthcare facility levels. The study evaluation will be guided by; 1) RE-AIM an evaluation framework and 2) the CFIR a determinant framework. The primary outcomes are implementation - acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, coverage, and sustainability. DISCUSSION The study is envisioned to provide important insight into barriers and facilitators of scaling up CVD prevention in a low income context. This project is registered at the ISRCTN Registry with number ISRCTN15848572. The trial was first registered on 03/01/2019.
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Affiliation(s)
- Geofrey Musinguzi
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
- Department of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Rhoda K. Wanyenze
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Rawlance Ndejjo
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Isaac Ssinabulya
- Department of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Harm van Marwijk
- Department of Primary and Interdisciplinary Care, Briton and Sussex University Medical School, Sussex, UK
| | - Isaac Ddumba
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
- Department of Health, Mukono, District, Uganda
| | - Hilde Bastiaens
- Department of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Fred Nuwaha
- Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda
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22
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Fagg J, Valabhji J. How do we identify people at high risk of Type 2 diabetes and help prevent the condition from developing? Diabet Med 2019; 36:316-325. [PMID: 30466172 PMCID: PMC6590463 DOI: 10.1111/dme.13867] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/20/2018] [Indexed: 12/20/2022]
Abstract
AIMS To review the evidence regarding the identification of those at high risk of Type 2 diabetes and the conceptual and clinical criteria defining high risk, the prevention or delay of onset of Type 2 diabetes through lifestyle interventions, and the evolution of evidence from efficacy trials, through effectiveness trials in real-world settings, to implementation programmes at scale. METHOD The wide scope of this review precluded a systematic approach, therefore, we present a narrative review that highlights key themes and contemporary developments, drawing on landmark studies, previous systematic and expert reviews, and previous meta-analyses. RESULTS While the diagnostic thresholds for Type 2 diabetes are accepted, international consensus on whether, and how, to classify those at high risk of Type 2 diabetes has not been achieved. There is ongoing debate about which laboratory test to use and each test's corresponding inclusion threshold, about where the balance of clinical benefits and harms sit when defining thresholds, and about how affordability of subsequent preventative interventions might influence the derivation of such thresholds within any particular population. A remarkable international effort has seen the evolution of interventions for those at high risk move from efficacy trials, through effectiveness trials, to implementation at scale, and the evidence supporting each stage is reviewed. CONCLUSIONS To achieve healthcare system sustainability, many countries are now focusing on disease prevention. To complement population-level interventions that address the obesogenic environment, lifestyle interventions that empower individuals at high risk of Type 2 diabetes to modify this risk beneficially are now being implemented at scale.
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Affiliation(s)
- J. Fagg
- Public Health EnglandLondonUK
| | - J. Valabhji
- NHS EnglandImperial College Healthcare NHS TrustImperial College LondonLondonUK
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23
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Abstract
Mixed methods research-i.e., research that draws on both qualitative and quantitative methods in varying configurations-is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness-implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or "quantitizing") qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.
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Affiliation(s)
- Lawrence A Palinkas
- Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California 90089, USA; ,
| | - Sapna J Mendon
- Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California 90089, USA; ,
| | - Alison B Hamilton
- UCLA Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 90024-1759, USA; .,VA Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California 90073, USA
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24
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Lee PG, Damschroder LJ, Holleman R, Moin T, Richardson CR. Older Adults and Diabetes Prevention Programs in the Veterans Health Administration. Diabetes Care 2018; 41:2644-2647. [PMID: 30377187 PMCID: PMC6245214 DOI: 10.2337/dc18-1141] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 09/19/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate whether older veterans enrolled in two diabetes prevention programs (DPPs) in the Veterans Health Administration will have similar weight loss as younger veterans. RESEARCH DESIGN AND METHODS Post hoc analysis of data from two prospective, pragmatic, nonrandomized studies of behavioral weight management interventions that were delivered in-person (Department of Veterans Affairs [VA]-DPP) or online (Online-DPP), comparing participation and weight loss between participants aged ≥65 years (N = 120) vs. <65 years (N = 258). RESULTS Over 70% of participants in both age groups completed eight or more sessions within 6 months; a higher proportion completed eight or more sessions in the Online-DPP intervention than in the VA-DPP intervention (P < 0.05). The overall weight changes at 6 and 12 months were similar across the two age groups: ∼5 kg or 5% weight loss compared with baseline (P > 0.05). CONCLUSIONS DPPs delivered in person or online can be similarly effective in older and younger veterans. Online programs may be an important means to improve the reach of DPPs for older adults.
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Affiliation(s)
- Pearl G Lee
- Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI .,Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI
| | - Laura J Damschroder
- Personalizing Options through Veteran Engagement (PROVE) Quality Enhancement Research Initiative (QUERI) Program, Ann Arbor Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
| | - Robert Holleman
- Personalizing Options through Veteran Engagement (PROVE) Quality Enhancement Research Initiative (QUERI) Program, Ann Arbor Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI
| | - Tannaz Moin
- Department of Medicine, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA.,Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.,VA Health Services Research and Development (HSR&D) Center for Healthcare Innovation, Implementation and Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
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Results From a Trial of an Online Diabetes Prevention Program Intervention. Am J Prev Med 2018; 55:583-591. [PMID: 30262149 PMCID: PMC6699502 DOI: 10.1016/j.amepre.2018.06.028] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 03/30/2018] [Accepted: 06/20/2018] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Online Diabetes Prevention Programs (DPPs) can be scaled up and delivered broadly. However, little is known about real-world effectiveness and how outcomes compare with in-person DPP. This study examined online DPP weight loss and participation outcomes and secondarily compared outcomes among participating individuals with parallel in-person interventions. STUDY DESIGN A large non-randomized trial supplemented by a comparative analysis of participating individuals from a concurrent trial of two parallel in-person programs: in-person DPP and the Veterans Administration's standard of care weight loss program (MOVE!). SETTING/PARTICIPANTS Obese/overweight Veterans with prediabetes enrolled in online DPP (n = 268) between 2013 and 2014. Similar eligibility criteria were used to enroll in-person participants between 2012 and 2014 (n = 273 in-person DPP, n = 114 MOVE!) within a separate trial. INTERVENTION Online DPP included a virtual group format, live e-coach, weekly modules delivered asynchronously, and wireless home scales. In-person programs included eight to 22 group-based, face-to-face sessions. MAIN OUTCOMES MEASURES Weight change at 6 and 12 months using wirelessly uploaded home scale data or electronic medical record weights from clinical in-person visits. Outcomes were analyzed between 2015 and 2017. RESULTS From 1,182 invitations, 268 (23%) participants enrolled in online DPP. Among these, 158 (56%) completed eight or more modules; mean weight change was -4.7kg at 6 months and -4.0kg at 12 months. In a supplemental analysis of participants completing one or more sessions/modules, online DPP participants were most likely to complete eight or more sessions/modules (87% online DPP vs 59% in-person DPP vs 55% MOVE!, p < 0.001). Online and in-person DPP participants lost significantly more weight than MOVE! participants at 6 and 12 months; there was no significant difference in weight change between online and in-person DPP. CONCLUSIONS An intensive, multifaceted online DPP intervention had higher participation but similar weight loss compared to in-person DPP. An intensive, multifaceted online DPP intervention may be as effective as in-person DPP and help expand reach to those at risk.
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Janney CA, Greenberg JM, Moin T, Kim HM, Holleman RG, Hughes M, Damschroder LJ, Richardson CR, Young AS, Steinle N. Does mental health influence weight loss in adults with prediabetes? Findings from the VA Diabetes Prevention Program. Gen Hosp Psychiatry 2018; 53:32-37. [PMID: 29729586 DOI: 10.1016/j.genhosppsych.2018.04.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 03/30/2018] [Accepted: 04/03/2018] [Indexed: 10/17/2022]
Abstract
OBJECTIVES Mental illness may impact outcomes from structured behavioral weight loss interventions. This secondary analysis investigated the influence of mental health on weight loss among Veterans with prediabetes enrolled in either an in-person diabetes prevention program (DPP) or the usual care weight management program (MOVE!) designed to help patients achieve weight loss through changes in physical activity and diet. METHODS Prediabetes was defined by Hemoglobin A1c between 5.7 and 6.4% or Fasting Plasma Glucose 100-125 mg/dL and no use of antiglycemic medications during the past six months. Veterans Health Administrative data were used to assign Veterans into one of three mental health diagnoses: severe mental illness (SMI), affective disorder (AD) without SMI, or No SMI/No AD. The influence of mental health on weight changes at 6 and 12 months was modeled using linear mixed-effects regression. RESULTS On average, Veterans with prediabetes (n = 386) were 59 years old (SD = 10.0 years), with a BMI of 34.8 kg/m2 (SD = 5.3 kg/m2) and A1c of 6.0% (SD = 0.2%). The sample consisted of 12% (n = 47), 39% (n = 150), and 49% (n = 189) diagnosed with SMI, AD and No SMI/No AD, respectively. Across interventions, Veterans with SMI lost less weight than those with AD or No SMI/No AD. From baseline to 6 months, weight loss was significantly less for Veterans with SMI (1.53 kg) compared to Veterans with AD (3.85 kg) or No SMI/No AD (3.73 kg). This weight loss trend by mental health diagnosis continued from baseline to 12 months but was no longer statistically significant at 12 months. CONCLUSION Weight loss was not clinically or statistically different among Veterans with prediabetes diagnosed with AD or No SMI/No AD. However, Veterans diagnosed with SMI exhibited less weight loss over 6 months than Veterans with AD or No SMI/No AD and though not statistically significant, the trend continued to 12 months, suggesting that SMI may influence weight loss outcomes.
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Affiliation(s)
- Carol A Janney
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States; Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine - Midland Regional Campus 4611 Campus Ridge Drive, Midland, MI 48670, United States.
| | - Jared M Greenberg
- VA Greater Los Angeles Health Care System and David Geffen School of Medicine at UCLA, United States
| | - Tannaz Moin
- VA Greater Los Angeles Health Care System and David Geffen School of Medicine at UCLA, United States
| | - Hyungjin Myra Kim
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States; Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, MI, United States
| | - Robert G Holleman
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States
| | - Maria Hughes
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States
| | - Laura J Damschroder
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States
| | - Caroline R Richardson
- Department of Family Medicine, University of Michigan School of Medicine, Ann Arbor, MI, United States
| | - Alexander S Young
- VA Greater Los Angeles Health Care System and David Geffen School of Medicine at UCLA, United States
| | - Nanette Steinle
- University of Maryland Baltimore, School of Medicine and the Maryland VA Health Care System, United States
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Maciejewski ML, Shepherd-Banigan M, Raffa SD, Weidenbacher HJ. Systematic Review of Behavioral Weight Management Program MOVE! for Veterans. Am J Prev Med 2018; 54:704-714. [PMID: 29550164 DOI: 10.1016/j.amepre.2018.01.029] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 01/09/2018] [Accepted: 01/29/2018] [Indexed: 12/22/2022]
Abstract
CONTEXT Since 2006, the Veterans Health Administration has delivered a population-based behavioral weight management program (MOVE!) to Veterans, which numerous studies have examined. The purpose of this study was to systematically review these studies to understand MOVE! participation rates and the association between MOVE! participation and weight change. EVIDENCE ACQUISITION A December 2016 PubMed search identified 320 English-language abstracts published between January 1, 2005 and December 31, 2016, of which 42 underwent full-text review. Twenty-six articles were determined to be eligible for final inclusion and data elements extracted from these articles included study years, study design, content of MOVE! and control intervention (if any), inclusion/exclusion criteria, initial sample size and sample loss, intervention duration and follow-up, patient characteristics, and outcomes. Quality was assessed using the Newcastle-Ottawa Quality Scale. EVIDENCE SYNTHESIS Studies were judged to be of good quality. Twenty-one of the 26 studies were retrospective cohort studies, one was a prospective cohort study and four were randomized trials. Program participation varied substantially (2%-12%) across studies. Six-month weight loss ranged from -0.95 kg to -1.84 kg, whereas 12-month weight loss ranged from -0.13 kg to -3.3 kg. A maximum of 25% of MOVE! users engaged in intense and sustained participation (eight or more visits within 6 months), but higher participation levels were consistently associated with greater weight change (-1.18 kg to -5.3 kg at 6 months, -1.68 kg to -3.58 kg at 12 months). CONCLUSIONS MOVE! participation is associated with modest short-term weight loss, with greater weight loss as participation increases. More research is needed to understand the barriers and facilitators to participation and the effect of MOVE! participation on long-term health and economic outcomes.
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Affiliation(s)
- Matthew L Maciejewski
- Center for Health Services Research in Primary Care, Durham Department of Veterans Affairs Medical Center, Durham, North Carolina; Department of Population Health Sciences, Duke University Medical Center, Durham, North Carolina.
| | - Megan Shepherd-Banigan
- Center for Health Services Research in Primary Care, Durham Department of Veterans Affairs Medical Center, Durham, North Carolina
| | - Susan D Raffa
- Veterans Health Administration National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Hollis J Weidenbacher
- Center for Health Services Research in Primary Care, Durham Department of Veterans Affairs Medical Center, Durham, North Carolina
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Hobson A, Curtis A. Improving the care of veterans: The role of nurse practitioners in team-based population health management. J Am Assoc Nurse Pract 2017; 29:644-650. [PMID: 28857487 DOI: 10.1002/2327-6924.12506] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 07/02/2017] [Accepted: 07/11/2017] [Indexed: 11/09/2022]
Abstract
BACKGROUND AND PURPOSE Improving healthcare delivery for U.S. veterans is a national priority. The Veterans Health Administration (VHA) employs a variety of team-based, population health strategies to address critical issues in veterans' health including the effective management of chronic disease. Nurse practitioners (NPs) are integral members of the VHA patient care team with a substantial role to play in the organization and delivery of healthcare services for veterans. This report explores the contributions of NPs in team-based, population health strategies within the VHA. METHODS This review of the literature examines peer-reviewed articles published between 2006 and 2017 to explore the contributions of NPs in team-based, population health strategies within the VHA. Search words include veterans, VHA, NPs, population health, panel management, and chronic disease. CONCLUSIONS NPs are vital members of the VHA primary care team; however, there is a dearth of available evidence reflecting the unique contribution of NPs within VHA team-based, population health management strategies. IMPLICATIONS FOR PRACTICE The VHA adoption of full practice authority for NP practice provides NPs with an expanded capacity to lead improvements in veterans' health. Future research is needed to fully understand the unique role of the NP in the delivery of population health management strategies for veterans.
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Affiliation(s)
- Alexandra Hobson
- School of Nursing and Health Professions, University of San Francisco, San Francisco, California
| | - Alexa Curtis
- School of Nursing and Health Professions, University of San Francisco, San Francisco, California
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Damschroder LJ, Reardon CM, AuYoung M, Moin T, Datta SK, Sparks JB, Maciejewski ML, Steinle NI, Weinreb JE, Hughes M, Pinault LF, Xiang XM, Billington C, Richardson CR. Implementation findings from a hybrid III implementation-effectiveness trial of the Diabetes Prevention Program (DPP) in the Veterans Health Administration (VHA). Implement Sci 2017; 12:94. [PMID: 28747191 PMCID: PMC5530572 DOI: 10.1186/s13012-017-0619-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 07/04/2017] [Indexed: 11/10/2022] Open
Abstract
Background The Diabetes Prevention Program (DPP) is an effective lifestyle intervention to reduce incidence of type 2 diabetes. However, there are gaps in knowledge about how to implement DPP. The aim of this study was to evaluate implementation of DPP via assessment of a clinical demonstration in the Veterans Health Administration (VHA). Methods A 12-month pragmatic clinical trial compared weight outcomes between the Veterans Affairs Diabetes Prevention Program (VA-DPP) and the usual care MOVE!® weight management program (MOVE!). Eligible participants had a body mass index (BMI) ≥30 kg/m2 (or BMI ≥ 25 kg/m2 with one obesity-related condition), prediabetes (glycosylated hemoglobin (HbA1c) 5.7–6.5% or fasting plasma glucose (FPG) 100–125 mg/dL), lived within 60 min of their VA site, and had not participated in a weight management program within the last year. Established evaluation and implementation frameworks were used to guide the implementation evaluation. Implementation barriers and facilitators, delivery fidelity, participant satisfaction, and implementation costs were assessed. Using micro-costing methods, costs for assessment of eligibility and scheduling and maintaining adherence per participant, as well as cost of delivery per session, were also assessed. Results Several barriers and facilitators to Reach, Adoption, Implementation, Effectiveness and Maintenance were identified; barriers related to Reach were the largest challenge encountered by site teams. Fidelity was higher for VA-DPP delivery compared to MOVE! for five of seven domains assessed. Participant satisfaction was high in both programs, but higher in VA-DPP for most items. Based on micro-costing methods, cost of assessment for eligibility was $68/individual assessed, cost of scheduling and maintaining adherence was $328/participant, and cost of delivery was $101/session. Conclusions Multi-faceted strategies are needed to reach targeted participants and successfully implement DPP. Costs for assessing patients for eligibility need to be carefully considered while still maximizing reach to the targeted population.
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Affiliation(s)
- Laura J Damschroder
- Ann Arbor VA HSR&D/Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA. .,VA Diabetes QUERI, Ann Arbor, MI, USA.
| | - Caitlin M Reardon
- Ann Arbor VA HSR&D/Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA
| | - Mona AuYoung
- Ann Arbor VA HSR&D/Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA.,Scripps Translational Science Institute/The Scripps Research Institute, 10550 North Torrey Pines Road, Mail Drop: TRY-30, La Jolla, CA, 92037, USA
| | - Tannaz Moin
- VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd 3, Los Angeles, CA, 90073, USA.,David Geffen School of Medicine, University of California, Los Angeles, CA, USA.,Greater Los Angeles VA Health Services Research and Development (HSR&D) Center for Healthcare Innovation, Implementation and Policy, Los Angeles, CA, USA
| | - Santanu K Datta
- Durham VA Medical Center HSR&D, 411 W Chapel Hill St, Suite 600, Durham, NC, 27701, USA.,Duke University School of Medicine, Durham, NC, USA
| | - Jordan B Sparks
- Ann Arbor VA HSR&D/Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA
| | - Matthew L Maciejewski
- Durham VA Medical Center HSR&D, 411 W Chapel Hill St, Suite 600, Durham, NC, 27701, USA.,Duke University School of Medicine, Durham, NC, USA
| | - Nanette I Steinle
- VA Maryland Healthcare System, 10 North Greene St, Baltimore, MD, 21201, USA.,University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jane E Weinreb
- VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd 3, Los Angeles, CA, 90073, USA.,David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Maria Hughes
- Ann Arbor VA HSR&D/Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA
| | - Lillian F Pinault
- VA Maryland Healthcare System, 10 North Greene St, Baltimore, MD, 21201, USA.,University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xinran M Xiang
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.,Louisiana State University Pediatric Neurology Program, 1542 Tulane Ave Rm 763, New Orleans, LA, 70112, USA
| | - Charles Billington
- Minneapolis VA Healthcare System, 1 Veterans Drive, Minneapolis, MN, 55417, USA.,University of Minnesota Medical Center, Minneapolis, MN, USA
| | - Caroline R Richardson
- Ann Arbor VA HSR&D/Center for Clinical Management Research, P.O. Box 130170, Ann Arbor, MI, 48113-0170, USA.,VA Diabetes QUERI, Ann Arbor, MI, USA.,Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.,University of Michigan Department of Family Medicine, 1018 Fuller St, Ann Arbor, MI, 48104, USA
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Moin T, Damschroder LJ, AuYoung M, Maciejewski ML, Datta SK, Weinreb JE, Steinle NI, Billington C, Hughes M, Makki F, Holleman RG, Kim HM, Jeffreys AS, Kinsinger LS, Burns JA, Richardson CR. Diabetes Prevention Program Translation in the Veterans Health Administration. Am J Prev Med 2017; 53:70-77. [PMID: 28094135 PMCID: PMC6699500 DOI: 10.1016/j.amepre.2016.11.009] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Revised: 10/19/2016] [Accepted: 11/08/2016] [Indexed: 11/18/2022]
Abstract
INTRODUCTION This clinical demonstration trial compared the effectiveness of the Veterans Affairs Diabetes Prevention Program (VA-DPP) with an evidence-based usual care weight management program (MOVE!®) in the Veterans Health Administration health system. DESIGN Prospective, pragmatic, non-randomized comparative effectiveness study of two behavioral weight management interventions. SETTING/PARTICIPANTS Obese/overweight Veterans with prediabetes were recruited from three geographically diverse VA sites between 2012 and 2014. INTERVENTION VA-DPP included 22 group-based intensive lifestyle change sessions. MAIN OUTCOME MEASURES Weight change at 6 and 12 months, hemoglobin A1c (HbA1c) at 12 months, and VA health expenditure changes at 15 months were assessed using VA electronic health record and claims data. Between- and within-group comparisons for weight and HbA1c were done using linear mixed-effects models controlling for age, gender, race/ethnicity, baseline outcome values, and site. Analyses were conducted in 2015-2016. RESULTS A total of 387 participants enrolled (273 VA-DPP, 114 MOVE!). More VA-DPP participants completed at least one (73.3% VA-DPP vs 57.5% MOVE! p=0.002); four (57.5% VA-DPP vs 42.5% MOVE!, p=0.007); and eight or more sessions (42.5% VA-DPP vs 31% MOVE!, p=0.035). Weight loss from baseline was significant at both 6 (p<0.001) and 12 months (p<0.001) for VA-DPP participants, but only significant at 6 months for MOVE! participants (p=0.004). Between groups, there were significant differences in 6-month weight loss (-4.1 kg VA-DPP vs -1.9 kg MOVE!, p<0.001), but not 12-month weight loss (-3.4 kg VA-DPP vs -2.0 kg MOVE!, p=0.16). There were no significant differences in HbA1c change or outpatient, inpatient, and total VA expenditures. CONCLUSIONS VA-DPP participants had higher participation rates and weight loss at 6 months, but similar weight, HbA1c, and health expenditures at 12 months compared to MOVE! PARTICIPANTS Features of VA-DPP may help enhance the capability of MOVE! to reach a larger proportion of the served population and promote individual-level weight maintenance.
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Affiliation(s)
- Tannaz Moin
- Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California; VA Health Services Research and Development (HSR&D) Center for Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles, California.
| | | | - Mona AuYoung
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - Matthew L Maciejewski
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Santanu K Datta
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Jane E Weinreb
- Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California
| | - Nanette I Steinle
- Department of Medicine, Baltimore VA Medical Center, Baltimore, Maryland; Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Charles Billington
- Department of Medicine, Minneapolis VA Healthcare System, Minneapolis, Minnesota; Department of Medicine, University of Minnesota Medical Center, Minneapolis, Minnesota
| | - Maria Hughes
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - Fatima Makki
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - Robert G Holleman
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - H Myra Kim
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, Michigan; Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, Michigan
| | - Amy S Jeffreys
- Department of Medicine, Durham VA Medical Center, Durham, North Carolina
| | - Linda S Kinsinger
- VHA National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Jennifer A Burns
- Ann Arbor VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - Caroline R Richardson
- Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Family Medicine, University of Michigan, Ann Arbor, Michigan; VA Diabetes QUERI, Ann Arbor, Michigan
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Kullgren JT, Youles B, Shetty S, Richardson C, Fagerlin A, Heisler M. ForgIng New paths in DIabetes PrevenTion (FINDIT): Study Protocol for a Randomized Controlled Trial. Trials 2017; 18:167. [PMID: 28388933 PMCID: PMC5385070 DOI: 10.1186/s13063-017-1887-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 03/08/2017] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Prediabetes is an asymptomatic condition in which patients' blood glucose levels are higher than normal but do not meet diagnostic criteria for type 2 diabetes mellitus (T2DM). A key window of opportunity to increase engagement of patients with prediabetes in strategies to prevent T2DM is when they are screened for T2DM and found to have prediabetes, yet the effects of this screening and brief counseling are unknown. METHODS In this parallel-design randomized controlled trial we will recruit 315 non-diabetic patients from the Ann Arbor VA Medical Center (AAVA) who have one or major risk factors for T2DM and an upcoming primary care appointment at the AAVA, but have not had a hemoglobin A1c (HbA1c) test to screen for T2DM in the previous 12 months. After informed consent, participants will complete a baseline survey and be randomly assigned to, at the time of their next primary care appointment, one of two arms: (1) to have a hemoglobin A1c (HbA1c) test to screen for T2DM and receive brief, standardized counseling about these results or (2) to review a brochure about clinical preventive services. Participants will complete surveys 2 weeks, 3 months, and 12 months after their primary care appointment, and a weight measurement 12 months after their primary care appointment. The primary outcome is weight change after 12 months. The secondary outcomes are changes in perception of risk for T2DM; knowledge of T2DM prevention; self-efficacy and motivation to prevent T2DM; use of pharmacotherapy for T2DM prevention; physical activity; participation in weight management programs; and mental health. Quantitative analyses will compare outcomes among participants in the HbA1c test arm found to have prediabetes with participants in the brochure arm. Among participants in the HbA1c test arm found to have prediabetes we will conduct semi-structured interviews about their understanding of and reactions to receiving a prediabetes diagnosis. DISCUSSION This trial will generate foundational data on the effects of a prediabetes diagnosis and brief counseling on patients' preventive behaviors and mediators of these behaviors that will enable the development of novel strategies to improve patient engagement in T2DM prevention. TRIAL REGISTRATION ClinicalTrials.gov, NCT02747108 . Registered on 18 April 2016.
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Affiliation(s)
- Jeffrey T. Kullgren
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, PO Box 130170, Ann Arbor, MI 48113-0170 USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
- University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI USA
| | - Bradley Youles
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, PO Box 130170, Ann Arbor, MI 48113-0170 USA
| | - Shaina Shetty
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, PO Box 130170, Ann Arbor, MI 48113-0170 USA
| | - Caroline Richardson
- University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI USA
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, MI USA
| | - Angela Fagerlin
- Salt Lake City VA Medical Center, Salt Lake City, UT USA
- Department of Population Health Studies, University of Utah, Salt Lake City, UT USA
| | - Michele Heisler
- VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, PO Box 130170, Ann Arbor, MI 48113-0170 USA
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
- University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, MI USA
- Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI USA
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AuYoung M, Damschroder LJ, Kinsinger L, Moin T, Richardson CR. Practical partnered research to improve weight loss among overweight/obese veterans: lessons from the trenches. BMC Med Res Methodol 2017; 17:50. [PMID: 28356073 PMCID: PMC5371178 DOI: 10.1186/s12874-017-0321-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Accepted: 03/08/2017] [Indexed: 02/13/2023] Open
Abstract
BACKGROUND Obesity and obesity-related conditions, such as type 2 diabetes, are a major issue for Veteran health. Veterans Health Administration (VA) researchers and health systems leaders have worked separately and together to provide more effective weight management programs for Veterans. Although randomized clinical trials are often considered the gold standard for establishing efficacy of interventions in controlled circumstances, pragmatic clinical trials (PCTs) provide agility for translation. MAIN TEXT VA researchers and health system leaders collaboratively designed a PCT to compare the Diabetes Prevention Program (VA-DPP) to usual care (MOVE!®) in promoting weight loss and glycemic control among overweight/obese Veterans with prediabetes. Together, they navigated the tensions that exist between quality improvement and research activities, facing challenges but reaping significant rewards. Early findings led to updated national guidance for delivering obesity treatment in VA. SHORT CONCLUSION Partnered research and the use of PCTs can be powerful strategies for accelerating evidence-based findings into practice. Collaborative partnerships between researchers and health systems leaders can help enhance and sustain translation in real-world settings.
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Affiliation(s)
- Mona AuYoung
- Ann Arbor VA Center for Clinical Management Research, VA HSR&D/CCMR (Mail Stop 152), P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
| | - Laura J. Damschroder
- Ann Arbor VA Center for Clinical Management Research, VA HSR&D/CCMR (Mail Stop 152), P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
- VA Diabetes QUERI, VA HSR&D/CCMR (Mail Stop 152), P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
| | - Linda Kinsinger
- National Center for Health Promotion and Disease Prevention, 3022 Croasdaile Dr #200, Durham, NC 27705 USA
| | - Tannaz Moin
- VA Greater Los Angeles Healthcare System, Los Angeles, CA USA
- David Geffen School of Medicine, University of California, Los Angeles, CA USA
- Greater Los Angeles CA Health Services Research and Development (HSR&D) Center for Healthcare Innovation, Implementation and Policy, 11301 Wilshire Blvd, Mail Code 111D, Los Angeles, CA 90073 USA
| | - Caroline R. Richardson
- Ann Arbor VA Center for Clinical Management Research, VA HSR&D/CCMR (Mail Stop 152), P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
- VA Diabetes QUERI, VA HSR&D/CCMR (Mail Stop 152), P.O. Box 130170, Ann Arbor, MI 48113-0170 USA
- Department of Family Medicine, University of Michigan, 1018 Fuller St, Ann Arbor, MI 48104-1213 USA
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Young-Hyman D. Introduction to special issue: Self-regulation of appetite-it's complicated. Obesity (Silver Spring) 2017; 25 Suppl 1:S5-S7. [PMID: 28229540 DOI: 10.1002/oby.21781] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 01/05/2017] [Indexed: 11/08/2022]
Abstract
OBJECTIVE A meeting of multidisciplinary biobehavioral scientists and National Institutes of Health (NIH) program staff was convened by the Office of Behavioral and Social Sciences Research, Division of Program Coordination, Planning, and Strategic Initiatives, Office of the Director, NIH to examine mechanisms associated with humans' ability to self-regulate appetite and appetitive behavior. METHODS Based upon prior discussions of the NIH Obesity Research Task Force Behavioral Phenotyping Work Group, the premise was adopted that, in modern society, multiple factors on multiple levels interact to create circumstances wherein self-control of appetite is difficult, leading to overconsumption of unhealthy foods versus healthy eating patterns, contributing to our current levels of obesity. Through presentations and group discussions, the panel examined how foundational processes/mechanisms directly and indirectly affect appetitive behavior and how these processes can be manipulated to affect food intake and thereby weight. The meeting identified evidence-based mechanisms with the potential to impact self-regulation of appetite and appetitive states (hunger, satiety, food wanting, restraint, reward) and associated behaviors such as overconsumption, eating in the absence of hunger, food seeking, and decision-making that could inform novel weight intervention strategies in free-living, nonlaboratory settings. CONCLUSION The three summary papers contained in this issue represent the synthesis of the material presented at the meeting and the panel's recommendations on how existing evidence regarding mechanisms and pathways to appetitive behavior can be used to inform future research and novel prevention and intervention strategies to impact prevalence of obesity.
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Affiliation(s)
- Deborah Young-Hyman
- Office of Behavioral and Social Sciences Research, Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI), Office of the Director, National Institutes of Health, Bethesda, Maryland, USA
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Wilson PM, Sales A, Wensing M, Aarons GA, Flottorp S, Glidewell L, Hutchinson A, Presseau J, Rogers A, Sevdalis N, Squires J, Straus S. Enhancing the reporting of implementation research. Implement Sci 2017; 12:13. [PMID: 28178987 PMCID: PMC5299701 DOI: 10.1186/s13012-017-0546-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Accepted: 02/02/2017] [Indexed: 11/10/2022] Open
Abstract
In the 10 years since the inception of Implementation Science, we have witnessed a continued rise in the number of submissions received, reflecting the continued global interest in methods to enhance the uptake of research findings into healthcare practice and policy. We receive over 750 submissions annually, and there is now a large gap between what is submitted and what gets published. In this editorial, we restate the journal scope and current boundaries. We also identify some specific reporting issues that if addressed will help enhance the scientific reporting quality and transparency of the manuscripts we receive. We hope that this editorial acts as a further guide to researchers seeking to publish their work in Implementation Science.
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Affiliation(s)
- Paul M Wilson
- Alliance Manchester Business School, University of Manchester, Booth Street East, Manchester, M15 6PB, UK.
| | - Anne Sales
- Department of Veterans Affairs Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.,University of Michigan, Ann Arbor, MI, USA
| | | | | | - Signe Flottorp
- Norwegian Knowledge Centre for the Health Services, Oslo, Norway
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Haibach JP, Haibach MA, Hall KS, Masheb RM, Little MA, Shepardson RL, Dobmeyer AC, Funderburk JS, Hunter CL, Dundon M, Hausmann LR, Trynosky SK, Goodrich DE, Kilbourne AM, Knight SJ, Talcott GW, Goldstein MG. Military and veteran health behavior research and practice: challenges and opportunities. J Behav Med 2016; 40:175-193. [DOI: 10.1007/s10865-016-9794-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 09/09/2016] [Indexed: 12/01/2022]
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Befort CA, VanWormer JJ, DeSouza C, Ellerbeck EF, Kimminau KS, Greiner A, Gajewski B, Huang T, Perri MG, Fazzino TL, Christifano D, Eiland L, Drincic A. Protocol for the Rural Engagement in Primary Care for Optimizing Weight Reduction (RE-POWER) Trial: Comparing three obesity treatment models in rural primary care. Contemp Clin Trials 2016; 47:304-14. [DOI: 10.1016/j.cct.2016.02.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 02/12/2016] [Accepted: 02/15/2016] [Indexed: 02/05/2023]
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