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Demosthenes EJ, Freedman J, Hernandez C, Shennette L, Frisard CF, Lemon SC, Gerber BS, Amante DJ. Preventing diabetes: What overweight and obese adults with prediabetes in the United States report about their providers' communication and attempted weight loss. Prev Med Rep 2024; 46:102859. [PMID: 39238779 PMCID: PMC11374957 DOI: 10.1016/j.pmedr.2024.102859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 08/09/2024] [Accepted: 08/10/2024] [Indexed: 09/07/2024] Open
Abstract
Objective To investigate what overweight or obese adults with prediabetes in the United States report being told by providers about 1) having prediabetes, 2) diabetes risk, and 3) losing weight and the associations of these communications with attempted weight loss. Methods Data from 2015 to 2018 National Health and Nutrition Examination Surveys (NHANES) for adults with a body mass index in the overweight or obesity ranges and HbA1c in the prediabetes range were examined (n = 2085). Patient reported data on what providers told them about having prediabetes, being at risk for diabetes, and losing weight were compared with attempted weight loss. Results Most participants (66.4%) reported never being told they had prediabetes nor being at risk for diabetes, 13.0% reported being told they had prediabetes, 10.6% at risk for diabetes, and 8.0% both messages. 18.3% of participants reported being told to lose weight. Participants who reported being told they had prediabetes and at increased diabetes risk were more likely to report attempted weight loss (adjusted odds ratio (AOR) 1.8, 95% confidence interval (CI) 1.1-3.2). Reporting that they were told to lose weight was not significantly associated with an increase in reported weight loss attempts. Conclusions In this cohort of individuals with overweight/obesity and prediabetic HbA1c values, low rates communications with providers about prediabetes and diabetes risk were reported. When both were discussed, patients reported greater attempted weight loss. These findings draw attention to the potential impact that provider communications about prediabetes and diabetes risk may have on lifestyle behavior change.
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Affiliation(s)
- Emmanuella J Demosthenes
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
| | - Jason Freedman
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
| | - Camila Hernandez
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
| | | | - Christine F Frisard
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
| | - Stephenie C Lemon
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
| | - Ben S Gerber
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
| | - Daniel J Amante
- UMass Chan Medical School, Department of Population and Quantitative Health Sciences, United States
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2
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Park S, Ballreich J, Ward T, Shi L. Cost-effectiveness analysis of a digital diabetes-prevention programme versus an in-person diabetes-prevention programme in people with prediabetes in the United States. Diabetes Obes Metab 2024; 26:4522-4534. [PMID: 39056211 DOI: 10.1111/dom.15807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024]
Abstract
AIM To assess the cost-effectiveness of a digital diabetes prevention programme (d-DPP) compared with a diabetes prevention programme (DPP) for preventing type 2 diabetes (T2D) in individuals with prediabetes in the United States. METHODS A Markov cohort model was constructed, simulating a 10-year period starting at the age of 45 years, with a societal and healthcare sector perspective. The effectiveness of the d-DPP intervention was evaluated using a meta-analysis, with that of the DPP as the comparator. The initial cycle represented the treatment period, and transition probabilities for the post-treatment period were derived from a long-term lifestyle intervention meta-analysis. The onset of T2D complications was estimated using microsimulation. Quality-adjusted life years (QALYs) were calculated based on health utility measured by short form (SF)-12 scores, and a willingness-to-pay threshold of $100 000 per QALY gained was applied. RESULTS The d-DPP intervention resulted in cost savings of $3,672 from a societal perspective and $2,990 from a healthcare sector perspective and a gain of 0.08 QALYs compared with the DPP. The dropout rate was identified as a significant factor influencing the results. Probabilistic sensitivity analysis showed that the d-DPP intervention was preferred in 85.8% in the societal perspective and 85.2% in the healthcare sector perspective. CONCLUSIONS The d-DPP is a cost-effective alternative to in-person lifestyle interventions for preventing the development of T2D among individuals with prediabetes in the United States.
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Affiliation(s)
- Sooyeol Park
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jeromie Ballreich
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Trevor Ward
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Lizheng Shi
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
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3
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Thomas TW, Finertie H, Sanchez P, Rodriguez LA, Schmittdiel J. A mixed-methods assessment of engagement in wellness programs for patients with prediabetes: Factors associated with referral and participation in lifestyle wellness programs. Prev Med Rep 2024; 45:102850. [PMID: 39205916 PMCID: PMC11350251 DOI: 10.1016/j.pmedr.2024.102850] [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: 03/29/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 09/04/2024] Open
Abstract
Objective We assessed factors associated with engagement in lifestyle wellness programs for patients with prediabetes. Methods This mixed-methods study, conducted between March 2018 and April of 2021, combined a retrospective cohort study and semi-structured interviews in a Northern California cohort of patients from a randomized controlled pragmatic clinical trial aged 18-75 with body mass index ≥ 25 and at least one HbA1c between 5.7-6.4 % in the previous 3 months. Patients were assigned to a peer support, enhanced usual care, or control arm. We used generalized linear mixed models to analyze the association between clinical, demographic, and study-related factors and referral to and participation in wellness programs within 12 months. We conducted semi-structured interviews with intervention participants and analyzed them using thematic analysis. We integrated qualitative and quantitative findings using the "following a thread" method. Results We identified 2,164 eligible patients; 12.8% were referred to a wellness program and 7% attended a wellness program. Patients not exposed to peer support, males, and Asian-American participants had the lowest odds of participation in wellness programs. Qualitative interviews with 30 intervention participants provided contextual information on quantitative findings including the importance of physician referrals and formal recruitment, a need for social support and accountability, and matching patient needs to wellness program descriptions as facilitators of engaging in wellness programs. Conclusion Given the low percentage of patients with prediabetes referred to and participating in wellness programs, there is a need to develop health system strategies to improve wellness program engagement for patients at-risk for diabetes.
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Affiliation(s)
- Tainayah W. Thomas
- Stanford University School of Medicine, Department of Epidemiology and Population Health, Stanford, CA, USA
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
| | - Holly Finertie
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - Perla Sanchez
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - Luis A. Rodriguez
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - Julie Schmittdiel
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
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Bergeron CD, Cisneros Franco CL, Sherman LD, Pullyblank K, Brunner W, Brandford AA, Kew CL, Smith ML. Health Care Engagement in Disease Prevention and Management: Factors Influencing Chronic Disease Program Referral Adherence Among Non-Hispanic Black and Hispanic Men With Chronic Conditions. Am J Mens Health 2024; 18:15579883241288978. [PMID: 39445436 PMCID: PMC11526160 DOI: 10.1177/15579883241288978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 09/02/2024] [Accepted: 09/12/2024] [Indexed: 10/25/2024] Open
Abstract
This study aimed to identify factors associated with being referred to an evidence-based disease prevention and management program by a health care provider and adherence to such referrals by non-Hispanic Black and Hispanic men. Utilizing a cross-sectional design, data were collected via an internet-based questionnaire from a national sample of 1,679 non-Hispanic Black and Hispanic men ages 40 years and older with one or more chronic diseases. A 105-item survey assessed program referral and attendance, chronic conditions and medications, disease symptoms, support, communication during physician visit, health care frustrations, disease self-management efficacy, barriers to self-care, helpfulness of learning from others for self-care, and sociodemographics. Binary logistic regression models were fitted to assess factors associated with referrals to a disease prevention and management program and attendance. Results indicated that approximately 23% of participants were referred to a program, and 19.2% reported attendance. Factors associated with being referred to and attending a program included being younger, having more chronic conditions, taking more medications daily, having higher pain scores, reporting more health care frustrations, and reporting better communication with physicians during visits. Men referred to attend a chronic disease program by a health care provider were 16.86 times more likely to attend a chronic disease program (p < .001). These findings suggest the importance of health care engagement for non-clinical disease prevention and management programs, particularly among non-Hispanic Black and Hispanic men with complex disease profiles.
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Affiliation(s)
| | | | - Ledric D. Sherman
- Department of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, USA
- Center for Health Equity and Evaluation Research, Texas A&M University, College Station, TX, USA
| | - Kristin Pullyblank
- Bassett Research Institute, Bassett Healthcare Network, Cooperstown, NY, USA
| | - Wendy Brunner
- Bassett Research Institute, Bassett Healthcare Network, Cooperstown, NY, USA
| | | | - Chung Lin Kew
- Department of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, USA
- Center for Community Health and Aging, Texas A&M University, College Station, TX, USA
| | - Matthew Lee Smith
- Department of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, USA
- Center for Health Equity and Evaluation Research, Texas A&M University, College Station, TX, USA
- Center for Community Health and Aging, Texas A&M University, College Station, TX, USA
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5
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Malone A, Clair K, Chanfreau C, Bean-Mayberry B, Oberman R, Lesser R, Knight C, Finley E, Hamilton A, Farmer MM, Moin T. Predictors of enrollment in a virtual diabetes prevention program among women veterans: a retrospective analysis. BMC Womens Health 2024; 24:465. [PMID: 39180036 PMCID: PMC11344380 DOI: 10.1186/s12905-024-03314-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 08/13/2024] [Indexed: 08/26/2024] Open
Abstract
BACKGROUND The Diabetes Prevention Program (DPP) is a nationally disseminated lifestyle intervention shown to prevent type 2 diabetes (diabetes). However, enrollment in the program remains variable. We sought to identify patient characteristics associated with enrollment in a virtual DPP program among women Veterans to inform ongoing diabetes prevention efforts. METHODS We conducted a retrospective analysis of 2021-2024 Department of Veterans Affairs (VA) data collected through the VA Enhancing Mental and Physical Health of Women through Engagement and Retention (EMPOWER) 2.0 Program, an effectiveness-implementation trial to expand access to preventative health services for women Veterans. We included women meeting DPP eligibility criteria (BMI ≥ 25 kg/m2 [or ≥ 23 if Asian] with ≥ 1 risk factor for diabetes [e.g., prediabetes]) who received care at six VA sites implementing virtual DPP. We used logistic regression to examine the association between DPP enrollment and prior use of VA preventive services for weight management or diabetes prevention including the VA MOVE! clinic, Whole Health visits, nutrition visits, weight loss medications, and/or metformin. We adjusted for sociodemographic factors, comorbidities, number of DPP recruitment contacts, and site. RESULTS A total of 1473 women Veterans received DPP outreach. On average, their age was 53 years (range 20-96), BMI 34 kg/m2, HbA1c 5.9%, 0.7% were Asian, 44% Black, 2% Hispanic, and 44% White. In our adjusted models, prior use of VA preventative services was not significantly associated with DPP enrollment. Younger women (OR:0.97, p = 0.002) and those who received more recruitment contacts (OR:2.63, p < 0.001), were significantly more likely to enroll in DPP. Women with housing instability were significantly less likely to enroll (OR:0.44, p = 0.029). CONCLUSIONS We found no difference in women Veterans' enrollment in DPP based on prior use of VA weight management and prevention services. Frequency of outreach by VA sites may increase engagement in lifestyle interventions. Virtual DPP may support engagement in preventive lifestyle interventions for diverse groups of women Veterans, as a first program or as a complement to other VA services. TRIAL REGISTRATION ClinicalTrials.gov, NCT05050266. Registered on 20 September 2021.
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Affiliation(s)
- Allyson Malone
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
| | - Kimberly Clair
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Catherine Chanfreau
- VA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA
| | - Bevanne Bean-Mayberry
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Rebecca Oberman
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Rachel Lesser
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Cody Knight
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Erin Finley
- University of Texas Health Science Center, San Antonio, TX, USA
| | - Alison Hamilton
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Melissa M Farmer
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
| | - Tannaz Moin
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), Greater Los Angeles Healthcare System, Los Angeles, VA, CA, USA
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6
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Green JB, Crowley MJ, Thirunavukkarasu S, Maruthur NM, Oldenburg B. The Final Frontier in Diabetes Care: Implementing Research in Real-World Practice. Diabetes Care 2024; 47:1299-1310. [PMID: 38907682 DOI: 10.2337/dci24-0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/25/2024] [Indexed: 06/24/2024]
Abstract
Despite extensive evidence related to the prevention and management of type 2 diabetes (T2D) and its complications, most people at risk for and people who have diabetes do not receive recommended guideline-based care. Clinical implementation of proven care strategies is of the utmost importance because without this, even the most impressive research findings will remain of purely academic interest. In this review, we discuss the promise and challenges of implementing effective approaches to diabetes prevention and care in the real-world setting. We describe successful implementation projects in three critical areas of diabetes care-diabetes prevention, glycemic control, and prevention of diabetes-related complications-which provide a basis for further clinical translation and an impetus to improve the prevention and control of T2D in the community. Advancing the clinical translation of evidence-based care must include recognition of and assessment of existing gaps in care, identification of barriers to the delivery of optimal care, and a locally appropriate plan to address and overcome these barriers. Care models that promote team-based approaches, rather than reliance on patient-provider interactions, will enhance the delivery of contemporary comprehensive diabetes care.
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Affiliation(s)
- Jennifer B Green
- Division of Endocrinology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Matthew J Crowley
- Division of Endocrinology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, Emory School of Medicine, Atlanta, GA
- Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Nisa M Maruthur
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Brian Oldenburg
- Department of Public Health and Implementation Science, La Trobe University, and Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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7
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Carvalho M, Hawkes RE, Hadjiconstantinou M, Byrne M, French DP, McSharry J. Improving retrospective intervention descriptions: Lessons learned from research on type 2 diabetes programmes in the United Kingdom and the Republic of Ireland. Transl Behav Med 2024; 14:479-490. [PMID: 38895871 DOI: 10.1093/tbm/ibae033] [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: 06/21/2024] Open
Abstract
In recent years, multiple countries worldwide have implemented behavioural interventions within national healthcare systems. Describing the content of these interventions is critical to improve their implementation, replication, and effectiveness, as well as to advance behavioural science. Tools, such as the Behaviour Change Technique Taxonomy, can enhance the quality of intervention description and reporting. As interventions are frequently developed without the use of such tools, retrospective coding of existing interventions to accurately characterise their content is becoming more common. However, the use of these tools for retrospective coding poses various challenges, the discussion of which has been neglected to date. This commentary discusses the challenges encountered when retrospectively describing the content of five nationally implemented programmes for type 2 diabetes in the United Kingdom and the Republic of Ireland and suggests recommendations to tackle these challenges. We present important methodological, practical, and ethical considerations for researchers to reflect on, relevant to the retrospective description of existing interventions. Specifically, we discuss (i) the importance of positive relationships and collaboration with intervention stakeholders, (ii) the practical and ethical considerations when analysing the content of implemented interventions, (iii) the independence of research teams and the potential for misclassification of intervention content, and (iv) the challenges associated with the analysis of intervention content using behavioural science tools. There is a growing demand for more robust approaches to address the methodological, practical, and ethical challenges associated with such studies. The present commentary describes key issues to be considered by research teams, as well as concrete recommendations to improve the retrospective characterisation of intervention content.
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Affiliation(s)
- Márcia Carvalho
- Health Behaviour Change Research Group, School of Psychology, University of Galway, Galway, Republic of Ireland
| | - Rhiannon E Hawkes
- Manchester Centre for Health Psychology, Faculty of Biology, Medicine and Health, School of Health Sciences, Division of Psychology and Mental Health, University of Manchester, Manchester, UK
| | - Michelle Hadjiconstantinou
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, UK
- Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Molly Byrne
- Health Behaviour Change Research Group, School of Psychology, University of Galway, Galway, Republic of Ireland
| | - David P French
- Manchester Centre for Health Psychology, Faculty of Biology, Medicine and Health, School of Health Sciences, Division of Psychology and Mental Health, University of Manchester, Manchester, UK
| | - Jenny McSharry
- Health Behaviour Change Research Group, School of Psychology, University of Galway, Galway, Republic of Ireland
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8
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Abusamaan MS, Ballreich J, Dobs A, Kane B, Maruthur N, McGready J, Riekert K, Wanigatunga AA, Alderfer M, Alver D, Lalani B, Ringham B, Vandi F, Zade D, Mathioudakis NN. Effectiveness of artificial intelligence vs. human coaching in diabetes prevention: a study protocol for a randomized controlled trial. Trials 2024; 25:325. [PMID: 38755706 PMCID: PMC11100129 DOI: 10.1186/s13063-024-08177-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/14/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Prediabetes is a highly prevalent condition that heralds an increased risk of progression to type 2 diabetes, along with associated microvascular and macrovascular complications. The Diabetes Prevention Program (DPP) is an established effective intervention for diabetes prevention. However, participation in this 12-month lifestyle change program has historically been low. Digital DPPs have emerged as a scalable alternative, accessible asynchronously and recognized by the Centers for Disease Control and Prevention (CDC). Yet, most digital programs still incorporate human coaching, potentially limiting scalability. Furthermore, existing effectiveness results of digital DPPs are primarily derived from per protocol, longitudinal non-randomized studies, or comparisons to control groups that do not represent the standard of care DPP. The potential of an AI-powered DPP as an alternative to the DPP is yet to be investigated. We propose a randomized controlled trial (RCT) to directly compare these two approaches. METHODS This open-label, multicenter, non-inferiority RCT will compare the effectiveness of a fully automated AI-powered digital DPP (ai-DPP) with a standard of care human coach-based DPP (h-DPP). A total of 368 participants with elevated body mass index (BMI) and prediabetes will be randomized equally to the ai-DPP (smartphone app and Bluetooth-enabled body weight scale) or h-DPP (referral to a CDC recognized DPP). The primary endpoint, assessed at 12 months, is the achievement of the CDC's benchmark for type 2 diabetes risk reduction, defined as any of the following: at least 5% weight loss, at least 4% weight loss and at least 150 min per week on average of physical activity, or at least a 0.2-point reduction in hemoglobin A1C. Physical activity will be objectively measured using serial actigraphy at baseline and at 1-month intervals throughout the trial. Secondary endpoints, evaluated at 6 and 12 months, will include changes in A1C, weight, physical activity measures, program engagement, and cost-effectiveness. Participants include adults aged 18-75 years with laboratory confirmed prediabetes, a BMI of ≥ 25 kg/m2 (≥ 23 kg/m2 for Asians), English proficiency, and smartphone users. This U.S. study is conducted at Johns Hopkins Medicine in Baltimore, MD, and Reading Hospital (Tower Health) in Reading, PA. DISCUSSION Prediabetes is a significant public health issue, necessitating scalable interventions for the millions affected. Our pragmatic clinical trial is unique in directly comparing a fully automated AI-powered approach without direct human coach interaction. If proven effective, it could be a scalable, cost-effective strategy. This trial will offer vital insights into both AI and human coach-based behavioral change strategies in real-world clinical settings. TRIAL REGISTRATION ClinicalTrials.gov NCT05056376. Registered on September 24, 2021, https://clinicaltrials.gov/study/NCT05056376.
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Affiliation(s)
- Mohammed S Abusamaan
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeromie Ballreich
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Adrian Dobs
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brian Kane
- Tower Health Medical Group Family Medicine, Reading, PA, USA
| | - Nisa Maruthur
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John McGready
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kristin Riekert
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Amal A Wanigatunga
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Defne Alver
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin Lalani
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin Ringham
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fatmata Vandi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Zade
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nestoras N Mathioudakis
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Chakkalakal RJ, Galaviz KI, Thirunavukkarasu S, Shah MK, Narayan KMV. Test and Treat for Prediabetes: A Review of the Health Effects of Prediabetes and the Role of Screening and Prevention. Annu Rev Public Health 2024; 45:151-167. [PMID: 38109519 DOI: 10.1146/annurev-publhealth-060222-023417] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
The term prediabetes describes blood glucose levels above the normal range but below the threshold to diagnose type 2 diabetes. Several population health initiatives encourage a test and treat approach for prediabetes. In this approach, screening and identification of individuals with prediabetes should be followed by prompt referral to structured lifestyle modification programs or pharmacologic interventions that have been shown to prevent or delay the progression to type 2 diabetes in clinical trials. Here we provide a critical review of evidence for this test and treat approach by examining health outcomes associated with prediabetes and the availability and effectiveness of lifestyle modification approaches that target prediabetes. We also describe current limitations to the reach and uptake of evidence-based treatment options for prediabetes. Finally, we highlight lessons learned from identifying and labeling other preconditions to consider challenges and opportunities that may arise with increasing awareness of prediabetes as part of routine preventive care.
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Affiliation(s)
- Rosette J Chakkalakal
- Department of Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA;
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Karla I Galaviz
- Indiana University School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Megha K Shah
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Cotterill S, McHugh S. Healthcare workers' perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol. HRB Open Res 2024; 6:23. [PMID: 38601792 PMCID: PMC11004599 DOI: 10.12688/hrbopenres.13702.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2024] [Indexed: 04/12/2024] Open
Abstract
Background Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs. Methods A "best fit" framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 26 years (1997-2023). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs' perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out on this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage. Discussion Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs' perspectives on the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.
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Affiliation(s)
- Clair Haseldine
- School of Public Health, University College Cork, Cork, Ireland
| | - Gráinne O'Donoghue
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Patricia M Kearney
- School of Public Health, University College Cork, Cork, Ireland
- Health Service Executive, Cork, Ireland
| | - Fiona Riordan
- School of Public Health, University College Cork, Cork, Ireland
| | - Sarah Cotterill
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Sheena McHugh
- School of Public Health, University College Cork, Cork, Ireland
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11
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Del Fiol G, Orleans B, Kuzmenko TV, Chipman J, Greene T, Martinez A, Wirth J, Meads R, Kaphingst KK, Gibson B, Kawamoto K, King AJ, Siaperas T, Hughes S, Pruhs A, Pariera Dinkins C, Lam CY, Pierce JH, Benson R, Borsato EP, Cornia R, Stevens L, Bradshaw RL, Schlechter CR, Wetter DW. SCALE-UP II: protocol for a pragmatic randomised trial examining population health management interventions to increase the uptake of at-home COVID-19 testing in community health centres. BMJ Open 2024; 14:e081455. [PMID: 38508633 PMCID: PMC10961568 DOI: 10.1136/bmjopen-2023-081455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/23/2024] [Indexed: 03/22/2024] Open
Abstract
INTRODUCTION SCALE-UP II aims to investigate the effectiveness of population health management interventions using text messaging (TM), chatbots and patient navigation (PN) in increasing the uptake of at-home COVID-19 testing among patients in historically marginalised communities, specifically, those receiving care at community health centres (CHCs). METHODS AND ANALYSIS The trial is a multisite, randomised pragmatic clinical trial. Eligible patients are >18 years old with a primary care visit in the last 3 years at one of the participating CHCs. Demographic data will be obtained from CHC electronic health records. Patients will be randomised to one of two factorial designs based on smartphone ownership. Patients who self-report replying to a text message that they have a smartphone will be randomised in a 2×2×2 factorial fashion to receive (1) chatbot or TM; (2) PN (yes or no); and (3) repeated offers to interact with the interventions every 10 or 30 days. Participants who do not self-report as having a smartphone will be randomised in a 2×2 factorial fashion to receive (1) TM with or without PN; and (2) repeated offers every 10 or 30 days. The interventions will be sent in English or Spanish, with an option to request at-home COVID-19 test kits. The primary outcome is the proportion of participants using at-home COVID-19 tests during a 90-day follow-up. The study will evaluate the main effects and interactions among interventions, implementation outcomes and predictors and moderators of study outcomes. Statistical analyses will include logistic regression, stratified subgroup analyses and adjustment for stratification factors. ETHICS AND DISSEMINATION The protocol was approved by the University of Utah Institutional Review Board. On completion, study data will be made available in compliance with National Institutes of Health data sharing policies. Results will be disseminated through study partners and peer-reviewed publications. TRIAL REGISTRATION NUMBER ClinicalTrials.gov: NCT05533918 and NCT05533359.
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Affiliation(s)
- Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Brian Orleans
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Tatyana V Kuzmenko
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Jonathan Chipman
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Tom Greene
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Anna Martinez
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Jennifer Wirth
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Ray Meads
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | | | - Bryan Gibson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Andy J King
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Tracey Siaperas
- Association for Utah Community Health, Salt Lake City, Utah, USA
| | - Shlisa Hughes
- Association for Utah Community Health, Salt Lake City, Utah, USA
| | - Alan Pruhs
- Association for Utah Community Health, Salt Lake City, Utah, USA
| | | | - Cho Y Lam
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Joni H Pierce
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Ryzen Benson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Emerson P Borsato
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Ryan Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Leticia Stevens
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Chelsey R Schlechter
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - David W Wetter
- Center for Health Outcomes and Population Equity, University of Utah Health Huntsman Cancer Institute, Salt Lake City, Utah, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
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Williams PA, Rotunda W, Porterfield D, Skeete RA, Smith AD, Proia KK. Implementation of Session Zero as a Recruitment Strategy in the National Diabetes Prevention Program's Lifestyle Change Program. Sci Diabetes Self Manag Care 2024; 50:74-86. [PMID: 38158815 PMCID: PMC10995983 DOI: 10.1177/26350106231215767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
PURPOSE The purpose of the study was to understand the extent to which organizations offering the Centers for Disease Control and Prevention's (CDC) National Diabetes Prevention Program (National DPP) lifestyle change program implement session zero (a pre-enrollment session designed to recruit, engage, and enroll participants in programs), the stated purpose(s) for offering session zero, the content of session zero, and best practices for using session zero for recruitment. METHODS Researchers conducted a survey of all organizations offering the National DPP lifestyle change program that were registered with the CDC's Diabetes Prevention Recognition Program and their affiliated delivery locations. RESULTS Most (79.5%) delivery locations reported implementing session zero; of these, most used session zero as a recruitment strategy (81.1%) and orientation session (72.8%), whereas few (17.7%) used session zero solely to complete participant enrollment paperwork. Most (60.7%) delivery locations that implement session zero offer all their sessions at the same location, offer one session per upcoming participant cohort (66.7%), and use a consistent agenda (83.0%). Out of a list of activities informed by behavior change theory, the most common was offering an opportunity to enroll in the year-long lifestyle change program at the end of session zero (71.1%). CONCLUSIONS Most National DPP delivery locations implement session zero as a recruitment and orientation session. Most delivery locations reported including some activities informed by behavior change theory, but delivery locations could offer more theoretically informed activities during their session zero. The findings provide practice-based considerations for implementing session zero for recruitment into lifestyle change programs.
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Affiliation(s)
| | - Wendi Rotunda
- RTI International, Research Triangle Park, North Carolina
| | | | | | - Akimi D Smith
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Krista K Proia
- Centers for Disease Control and Prevention, Atlanta, Georgia
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13
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Gholami M, Jackson NJ, Loeb T, Chung UYR, Ramm K, Shedd K, Soetenga S, Elashoff D, Hamilton AB, Mangione CM, Duru OK, Moin T. Twelve-Month Reach and Effectiveness of a University-Based Diabetes Prevention Initiative. Am J Prev Med 2024; 66:299-306. [PMID: 37741423 PMCID: PMC10842474 DOI: 10.1016/j.amepre.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/25/2023]
Abstract
INTRODUCTION The University of California (UC) implemented the Diabetes Prevention Program (DPP) to address diabetes and obesity risk. This project examined the reach and effectiveness of this university-based DPP delivery approach. METHODS This project compared 12-month weight change among three groups of UC beneficiaries with overweight/obesity: (1) those who received invitation letters and enrolled in UC DPP, (2) those mailed invitation letters but did not enroll, and (3) those who were not mailed letters and did not enroll (controls). Using 2012-2022 EHR, administrative and DPP cohort data, an interrupted time series was conducted in 2022-2023 to compare group differences in rate of weight change. RESULTS Among 6,231 beneficiaries (132 UC DPP aware enrollees, 1,750 DPP aware non-enrollees, 4,349 controls), UC DPP enrollees were older (mean age 49), mostly women (76%), and more diverse (33% Asian, 8% Black, 20% Hispanic, 4% Multi/Other). Over 12 months of follow-up, UC DPP enrollee postenrollment rate of weight loss was -0.68 lbs./month. UC DPP enrollees had significantly greater weight change from pre- to post-enrollment than DPP aware non-enrollees (adjusted Δ-1.02 vs. Δ-0.07 lbs./month, difference= -0.95, p<0.001). Weight change among all participants who received letters with/without DPP enrollment was similar to controls. CONCLUSIONS UC DPP reached a diverse group and was effective for weight loss at 12-month follow-up. However, UC DPP invitation letters to raise prediabetes and DPP awareness were not associated with significant weight change in the absence of DPP enrollment. University-based approaches to DPP delivery are effective and may enhance reach of DPP among at-risk adults.
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Affiliation(s)
- Maryam Gholami
- Altman Clinical and Translational Research Institute, University of California, San Diego, California
| | - Nicholas J Jackson
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California
| | - Tamra Loeb
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California
| | - Un Young Rebecca Chung
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California
| | - Kate Ramm
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California
| | - Kelly Shedd
- Human Resources, University of California, Irvine, California
| | - Samantha Soetenga
- Campus Recreation, University of California, Los Angeles, California
| | - David Elashoff
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California
| | - Alison B Hamilton
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California; VA Greater Los Angeles Healthcare System, Los Angeles, California
| | - Carol M Mangione
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California; Fielding School of Public Health, University of California, Los Angeles, California
| | - O Kenrik Duru
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California
| | - Tannaz Moin
- Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, California; VA Greater Los Angeles Healthcare System, Los Angeles, California.
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Gharacheh L, Amini-Rarani M, Torabipour A, Karimi S. A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus. Int J Prev Med 2024; 15:5. [PMID: 38487697 PMCID: PMC10935579 DOI: 10.4103/ijpvm.ijpvm_374_22] [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: 11/12/2022] [Accepted: 05/17/2023] [Indexed: 03/17/2024] Open
Abstract
Background As socioeconomic inequalities are key factors in access and utilization of type 2 diabetes (T2D) services, the purpose of this scoping review was to identify solutions for decreasing socioeconomic inequalities in T2D. Methods A scoping review of scientific articles from 2000 and later was conducted using PubMed, Web of Science (WOS), Scopus, Embase, and ProQuest databases. Using the Arksey and O'Malley framework for scoping review, articles were extracted, meticulously read, and thematically analyzed. Results A total of 7204 articles were identified from the reviewed databases. After removing duplicate and nonrelevant articles, 117 articles were finally included and analyzed. A number of solutions and passways were extracted from the final articles. Solutions for decreasing socioeconomic inequalities in T2D were categorized into 12 main solutions and 63 passways. Conclusions Applying identified solutions in diabetes policies and interventions would be recommended for decreasing socioeconomic inequalities in T2D. Also, the passways could be addressed as entry points to help better implementation of diabetic policies.
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Affiliation(s)
- Laleh Gharacheh
- Student Research Committee, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mostafa Amini-Rarani
- Social Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amin Torabipour
- Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Saeed Karimi
- Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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15
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Grudziąż-Sękowska J, Sękowski K, Pinkas J, Jankowski M. Public Expectations and Needs Related to Type 2 Diabetes Prevention: A Population-Based Cross-Sectional Study in Poland. Int J Public Health 2024; 69:1606790. [PMID: 38322305 PMCID: PMC10844515 DOI: 10.3389/ijph.2024.1606790] [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: 10/31/2023] [Accepted: 01/11/2024] [Indexed: 02/08/2024] Open
Abstract
Objective: This study aimed to understand the public's expectations regarding type 2 diabetes prevention and to identify factors associated with willingness to participate in preventive activities among adults in Poland. Methods: A cross-sectional survey was carried out using a computer-assisted web interview (CAWI) on a representative sample of 1,046 adults in Poland. A non-probability quota sampling method was used. A study tool was a self-prepared questionnaire. Results: Most respondents (77.3%) declared willingness to participate in preventive activities. Consultation with a diabetologist (75.1%) or family doctor consultation (74.9%) were the most often selected. Lifestyle interventions in the form of dietary and culinary workshops (58.1%) were the least chosen. Having higher education (OR = 3.83, 1.64-8.94, p = 0.002), chronic diseases (OR = 1.36, 1.01-1.85, p = 0.04), and a history of diabetes in the family (OR = 1.67, 1.21-2.30, p = 0.002) were significantly associated with a higher interest in type 2 diabetes prevention. Conclusion: The adults in Poland are keen on participating in diabetes prevention programs, mostly those based on medical counselling rather than lifestyle-oriented interventions. Educational level was the most important factor associated with willingness to participate in type 2 diabetes prevention.
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Duru OK, Mangione CM, Turk N, Chon J, Fu J, Cheng G, Cheng F, Moss A, Frosch D, Jeffers KS, Castellon-Lopez Y, Tseng CH, Maranon R, Norris KC, Moin T. The Effectiveness of Shared Decision-making for Diabetes Prevention: 24- and 36-Month Results From the Prediabetes Informed Decision and Education (PRIDE) Trial. Diabetes Care 2023; 46:2218-2222. [PMID: 37770039 PMCID: PMC10698217 DOI: 10.2337/dc23-0829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/11/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE We conducted a cluster-randomized, shared decision-making (SDM) trial offering lifestyle change, metformin, or both options, to adults at risk for diabetes in a primary care network (n = 20 practices). RESEARCH DESIGN AND METHODS We used propensity score matching to identify control patients and used electronic health record data to compare weight loss at 24 and 36 months of follow-up and diabetes incidence at 36 months of follow-up. RESULTS In adjusted post hoc analyses, SDM participants (n = 489) maintained modestly greater 24-month weight loss of -3.1 lb and 36-month weight loss of -2.7 lb versus controls (n = 1,430, both comparisons P < 0.001). SDM participants who chose both lifestyle change and metformin sustained weight loss at 36 months of -4.1 lb (P < 0.001 vs. controls). We found no differences in incident diabetes (15% of SDM participants, 14% of control participants; P = 0.64). CONCLUSIONS This is one of the first studies to demonstrate weight loss maintenance up to 36 months after diabetes prevention SDM.
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Affiliation(s)
- O. Kenrik Duru
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Carol M. Mangione
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Fielding School of Public Health, University of California, Los Angeles, Los Angeles, Los Angeles, CA
| | - Norman Turk
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Janet Chon
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Jeffery Fu
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Grace Cheng
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Felicia Cheng
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Amanda Moss
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | | | - Kia Skrine Jeffers
- School of Nursing, University of California, Los Angeles, Los Angeles, Los Angeles, CA
| | | | - Chi-Hong Tseng
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Richard Maranon
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Keith C. Norris
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Tannaz Moin
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA
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Horn CE, Seely EW, Levkoff SE, Isley BC, Nicklas JM. Postpartum women's experiences in a randomized controlled trial of a web-based lifestyle intervention following Gestational Diabetes: a qualitative study. J Matern Fetal Neonatal Med 2023; 36:2194012. [PMID: 36977603 DOI: 10.1080/14767058.2023.2194012] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 03/17/2023] [Indexed: 03/30/2023]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is associated with an increased maternal risk for the development of type 2 diabetes (T2DM). We previously demonstrated in a randomized trial that a web-based postpartum lifestyle intervention program, Balance After Baby, increased weight loss among postpartum women with recent pregnancies complicated by GDM. The aim of this analysis is to identify the impact of the intervention on study participants as assessed by exit interviews after completion of the 12 month study. METHODS We conducted structured exit interviews created with a concurrent-contextual design with subjects randomized to the intervention group at the conclusion of their participation (∼12 months) in the Balance After Baby study, with the objectives of 1) understanding the impact of the intervention on participants and their family members, 2) identifying which program components were most and least helpful, and 3) identifying the perceived best timing for diabetes prevention interventions in postpartum women with recent GDM. RESULTS Seventy-nine percent (26/33) of eligible intervention participants participated in interviews. Participants noted changes in diet and physical activity as a result of the intervention. Several components of the intervention, particularly the online modules and support from the lifestyle coach, were perceived by intervention participants to have had a positive effect on personal and familial lifestyle change, while other components were less utilized, including the community forum, YMCA memberships, and pedometers. Nearly all participants felt that the timing in the intervention study, beginning about 6 weeks postpartum, was ideal. DISCUSSION Results of this study identify the importance of individualized coaching, impact on family members, and demonstrate that postpartum women feel ready to make changes by 6 weeks postpartum. Findings from this study will help inform the development of future technologically-based lifestyle interventions for postpartum women with recent GDM.
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Affiliation(s)
- Christine E Horn
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ellen W Seely
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sue E Levkoff
- College of Social Work, University of South Carolina, Columbia, SC, USA
| | - Breanna C Isley
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jacinda M Nicklas
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA
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Schlechter CR, Del Fiol G, Jones DR, Orleans B, Gibson B, Nahum-Shani I, Maxfield E, Locke A, Cornia R, Bradshaw R, Wirth J, Jaggers SJ, Lam CY, Wetter DW. Increasing the reach of evidence-based interventions for weight management and diabetes prevention among Medicaid patients: study protocol for a pilot Sequential Multiple Assignment Randomised Trial. BMJ Open 2023; 13:e075157. [PMID: 38011967 PMCID: PMC10685946 DOI: 10.1136/bmjopen-2023-075157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 10/16/2023] [Indexed: 11/29/2023] Open
Abstract
INTRODUCTION Over 40% of US adults meet criteria for obesity, a major risk factor for chronic disease. Obesity disproportionately impacts populations that have been historically marginalised (eg, low socioeconomic status, rural, some racial/ethnic minority groups). Evidence-based interventions (EBIs) for weight management exist but reach less than 3% of eligible individuals. The aims of this pilot randomised controlled trial are to evaluate feasibility and acceptability of dissemination strategies designed to increase reach of EBIs for weight management. METHODS AND ANALYSIS This study is a two-phase, Sequential Multiple Assignment Randomized Trial, conducted with 200 Medicaid patients. In phase 1, patients will be individually randomised to single text message (TM1) or multiple text messages (TM+). Phase 2 is based on treatment response. Patients who enrol in the EBI within 12 weeks of exposure to phase 1 (ie, responders) receive no further interventions. Patients in TM1 who do not enrol in the EBI within 12 weeks of exposure (ie, TM1 non-responders) will be randomised to either TM1-Continued (ie, no further TM) or TM1 & MAPS (ie, no further TM, up to 2 Motivation And Problem Solving (MAPS) navigation calls) over the next 12 weeks. Patients in TM+ who do not enrol in the EBI (ie, TM+ non-responders) will be randomised to either TM+Continued (ie, monthly text messages) or TM+ & MAPS (ie, monthly text messages, plus up to 2 MAPS calls) over the next 12 weeks. Descriptive statistics will be used to characterise feasibility (eg, proportion of patients eligible, contacted and enrolled in the trial) and acceptability (eg, participant opt-out, participant engagement with dissemination strategies, EBI reach (ie, the proportion of participants who enrol in EBI), adherence, effectiveness). ETHICS AND DISSEMINATION Study protocol was approved by the University of Utah Institutional Review Board (#00139694). Results will be disseminated through study partners and peer-reviewed publications. TRIAL REGISTRATION NUMBER clinicaltrials.gov; NCT05666323.
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Affiliation(s)
- Chelsey R Schlechter
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Dusti R Jones
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Brian Orleans
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Bryan Gibson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Inbal Nahum-Shani
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Ellen Maxfield
- Osher Center for Integrative Health, University of Utah, Salt Lake City, Utah, USA
- Department of Family & Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Amy Locke
- Osher Center for Integrative Health, University of Utah, Salt Lake City, Utah, USA
- Department of Family & Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Ryan Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Richard Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Jennifer Wirth
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Shanna J Jaggers
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Cho Y Lam
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - David W Wetter
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
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Ziegler D, Herder C, Papanas N. Neuropathy in prediabetes. Diabetes Metab Res Rev 2023; 39:e3693. [PMID: 37470302 DOI: 10.1002/dmrr.3693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/13/2023] [Accepted: 06/18/2023] [Indexed: 07/21/2023]
Abstract
Diabetic neuropathies are the most frequent complications of diabetes, contributing to high morbidity, excess mortality, reduced quality of life, and increased healthcare costs. Prediabetes is characterised by glucose levels within an intermediate range above normoglycaemia yet below the diagnostic threshold for diabetes. In 2021, 10.6% and 6.2% of adults worldwide were estimated to have impaired glucose tolerance and impaired fasting glucose, respectively, the majority of whom are unaware of having prediabetes. Evidence has accumulated suggesting that prediabetes is a predictor of cardiovascular disease (CVD) and increased mortality. The past 2 decades have witnessed an extensive debate, particularly among diabetologists and neurologists, as to whether prediabetes is associated with peripheral neuropathy. In this review, we elaborate on the current evidence, particularly from population-based studies supporting an increased risk of distal sensorimotor polyneuropathy (DSPN) and cardiovascular autonomic neuropathy (CAN) in people with prediabetes. Moreover, we discuss whether lifestyle interventions showing efficacy in preventing or delaying the transition from prediabetes to diabetes in persons with prediabetes may also exert favourable effects on the development and progression of DSPN and CAN. This review should help in raising the awareness of and translating the current knowledge on neuropathies in people with prediabetes into clinical practice and public health. The current recommendation that adults who are overweight or obese should be screened for prediabetes and referred to or offered preventive interventions should ultimately culminate in preventing not only CVD but also prediabetic neuropathy.
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Affiliation(s)
- Dan Ziegler
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nikolaos Papanas
- Diabetes Centre, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
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20
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Rahim NE, Flood D, Marcus ME, Theilmann M, Aung TN, Agoudavi K, Aryal KK, Bahendeka S, Bicaba B, Bovet P, Diallo AO, Farzadfar F, Guwatudde D, Houehanou C, Houinato D, Hwalla N, Jorgensen J, Kagaruki GB, Mayige M, Wong-McClure R, Larijani B, Saeedi Moghaddam S, Mwalim O, Mwangi KJ, Sarkar S, Sibai AM, Sturua L, Wesseh C, Geldsetzer P, Atun R, Vollmer S, Bärnighausen T, Davies J, Ali MK, Seiglie JA, Manne-Goehler J. Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data. Lancet Glob Health 2023; 11:e1576-e1586. [PMID: 37734801 PMCID: PMC10560068 DOI: 10.1016/s2214-109x(23)00348-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/27/2023] [Accepted: 07/12/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs. METHODS We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A1c available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities. FINDINGS The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5-42·8]) were considered at high risk of diabetes (20·6% [19·8-21·5] in low-income countries, 38·0% [37·2-38·9] in lower-middle-income countries, and 57·5% [54·3-60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6-41·4) for physical activity counselling, 37·1% (35·9-38·4) for weight loss counselling, 42·7% (41·6-43·7) for dietary counselling, and 37·1% (34·7-39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6-71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4-50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6-9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5-23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education. INTERPRETATION A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide. FUNDING Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program and the EU's Research and Innovation programme Horizon 2020.
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Affiliation(s)
- Nicholas Errol Rahim
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Maja E Marcus
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michaela Theilmann
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany; Behavioral Science for Disease Prevention and Health Care, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Taing N Aung
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Krishna Kumar Aryal
- Bergen Centre for Ethics and Priority Setting, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Silver Bahendeka
- Diabetes and Endocrinology, Saint Francis Hospital Nsambya, Kampala, Uganda
| | - Brice Bicaba
- National Institute of Public Health, Ouagadougou, Burkina Faso
| | - Pascal Bovet
- University Center for General Medicine and Public Health (Unisanté), Lausanne, Switzerland; Ministry of Health, Victoria, Seychelles
| | - Alpha Oumar Diallo
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Dismand Houinato
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Nahla Hwalla
- Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Jutta Jorgensen
- Institute of Global Health, Department of Public Health and Epidemiology, Copenhagen University, Copenhagen, Denmark
| | | | - Mary Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | | | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Saeedi Moghaddam
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Kiel Institute for the World Economy, Kiel, Germany
| | | | - Kibachio Joseph Mwangi
- Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya; World Health Organization Country Office, Pretoria, South Africa
| | - Sudipa Sarkar
- Division of Endocrinology, Diabetes, and Metabolism, John Hopkins University, Baltimore, MD, USA
| | - Abla M Sibai
- Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Lela Sturua
- Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA; Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA
| | - Rifat Atun
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA; Africa Health Research Institute, Somkhele, South Africa
| | - Justine Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Prevention Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Jacqueline A Seiglie
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jennifer Manne-Goehler
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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21
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Stephenson-Hunter C, Pacheco G, Kim RS, Gao Q, Hosgood HD, Chambers EC. Factors Influencing the Referral of Patients with Prediabetes to a Diabetes Prevention Program in the Bronx, New York. Prev Chronic Dis 2023; 20:E83. [PMID: 37733951 PMCID: PMC10516205 DOI: 10.5888/pcd20.230072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023] Open
Abstract
INTRODUCTION Disparate engagement in the Diabetes Prevention Program (DPP) may occur as early as the point of referral for certain subgroups, including Black and Hispanic men. We aimed to determine patient demographic and provider characteristics associated with referrals to a health system DPP in the Bronx, New York. METHODS Patient and health system characteristics for DPP-eligible patients seen in primary care between July 1, 2015, and December 31, 2017, were obtained through the electronic health record. Generalized mixed-effects modeling was used to test the association between referral rate and clinical and sociodemographic variables. RESULTS Of 26,727 eligible patients, 66% were female, 46% were Hispanic, and 39% were non-Hispanic Black. Only 10% (n = 2,785) of eligible patients were referred to DPP. In the adjusted analyses, lower odds of referral were observed for men versus women (OR = 0.60; 95% CI, 0.52-0.66), for non-Hispanic White versus Hispanic patients (OR = 0.53; 95% CI, 0.40-0.71), and for uninsured patients versus Medicaid patients (OR = 0.66; 95% CI, 0.54-0.80). The odds were higher for patients in the highest versus lowest hemoglobin A1c (OR = 2.49; 95% CI, 2.27-2.72) category; for those in the highest versus lowest body mass index categories (OR = 1.61; 95% CI, 1.45-1.79); for middle-aged patients (aged 45-64 y) versus those aged 18-26 y (OR =1.63; 95% CI, 1.33-2.00); and for patients being seen by a family versus an internal medicine physician (OR = 1.65; 95% CI, 1.22-2.22). CONCLUSION We identified under-referral for men and highlighted other patient and health system factors associated with referral rates. Interventions to address bias in referrals and increase referrals for men at high risk for diabetes, not typically represented in DPP, are recommended.
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Affiliation(s)
- Cara Stephenson-Hunter
- Institute for Clinical and Translational Research KL2 Scholars Program, Albert Einstein College of Medicine, Bronx, New York
- Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Giovanni Pacheco
- Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Ryung S Kim
- Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Qi Gao
- Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - H Dean Hosgood
- Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Earle C Chambers
- Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
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22
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Heisler M, Dyer WT, Finertie H, Stoll SC, Wiley D, Turner CD, Sedgwick T, Kullgren J, Richardson CR, Hedderson M, Schmittdiel JA. Using Peer Support to Prevent Diabetes: Results of a Pragmatic RCT. Am J Prev Med 2023; 65:239-250. [PMID: 36898949 PMCID: PMC10810481 DOI: 10.1016/j.amepre.2023.02.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 03/10/2023]
Abstract
INTRODUCTION High-contact structured diabetes prevention programs are effective in lowering weight and HbA1cs, yet their intensity level can create barriers to participation. Peer support programs improve clinical outcomes among adults with Type 2 diabetes, but their effectiveness in diabetes prevention is unknown. This study examined whether a low-intensity peer support program improved outcomes more than enhanced usual care in a diverse population with prediabetes. STUDY DESIGN The intervention was tested in a pragmatic 2-arm RCT. SETTING/PARTICIPANTS Participants were adults with prediabetes at three healthcare centers. INTERVENTION Participants randomized to the enhanced usual care arm received educational materials. Participants in the Using Peer Support to Aid in Prevention and Treatment in Prediabetes arm were matched with a peer supporter: another patient who had made healthy lifestyle changes and was trained in autonomy-supportive action planning. Peer supporters were instructed to provide weekly telephone support to their peers on specific action steps toward behavioral goals for 6 months, then monthly support for 6 months. MAIN OUTCOME MEASURES Changes in primary outcomes of weight and HbA1c and secondary outcomes of enrollment in formal diabetes prevention programs, self-reported diet, physical activity, health-specific social support, self-efficacy, motivation, and activation at 6 and 12 months were examined. RESULTS Data collection occurred from October 2018 to March 2022, with analyses completed in September 2022. Among 355 randomized patients, in intention-to-treat analyses, there were no between-group differences in HbA1c or weight changes at 6 and 12 months. Using Peer Support to Aid in Prevention and Treatment in Prediabetes participants were more likely to enroll in structured programs at 6 (AOR=2.45, p=0.009) and 12 (AOR=2.21, p=0.016) months and to report eating whole grains at 6 (4.49, p=0.026) and 12 (4.22, p=0.034) months. They reported greater improvements in perceived social support for diabetes prevention behaviors at 6 (6.39, p<0.001) and 12 (5.48, p<0.001) months, with no differences in other measures. CONCLUSIONS A stand-alone, low-intensity peer support program improved social support and participation in formal diabetes prevention programs but not weight or HbA1c. It will be important to examine whether peer support could effectively complement higher-intensity, structured diabetes prevention programs. TRIAL REGISTRATION This trial is registered at ClinicalTrials.gov, NCT03689530. Full protocol available at https://clinicaltrials.gov/ct2/show/NCT03689530.
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Affiliation(s)
- Michele Heisler
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan; Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, Michigan; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
| | - Wendy T Dyer
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Holly Finertie
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Shelley C Stoll
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Deanne Wiley
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Cassie D Turner
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Tali Sedgwick
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Jeffrey Kullgren
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan; Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, Michigan; VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Caroline R Richardson
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Monique Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Julie A Schmittdiel
- Division of Research, Kaiser Permanente Northern California, Oakland, California; Department of Health System Sciences, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
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23
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Herman WH, Villatoro C, Joiner KL, McEwen LN. Retention and outcomes of National Diabetes Prevention Program enrollees and non-enrollees with prediabetes: The University of Michigan experience. J Diabetes Complications 2023; 37:108527. [PMID: 37459781 PMCID: PMC10928673 DOI: 10.1016/j.jdiacomp.2023.108527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 08/04/2023]
Abstract
AIMS To evaluate retention and outcomes of insured adults with prediabetes who enrolled or did not enroll in National Diabetes Prevention Programs (NDPPs). METHODS Between 2015 and 2019, 776 University of Michigan employees, dependents, and retirees with prediabetes and overweight or obesity enrolled in one-year NDPPs. RESULTS Enrollees attended a median of 18 sessions. Median retention was 38 weeks. Retention was associated with older age, greater initial weight loss, and physical activity. At both 1- and 2-years, body mass index, triglycerides, and HbA1c were significantly improved among enrollees. After adjusting for age group, sex, and race, the odds of developing diabetes based on HbA1c ≥6.5 % was 40 % lower at 1-year and 20 % lower at 2-years, and the odds of self-reported diabetes was 57 % lower at 1-year and 46 % lower at 2-years in enrollees compared to non-enrollees. Enrollees who disenrolled before completing the core curriculum had higher odds and enrollees who completed the NDPP had lower odds of developing diabetes that non-enrollees. CONCLUSIONS In this population with prediabetes, NDPP retention was generally good, risk factors were improved, and diabetes was delayed or prevented for up to two years.
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Affiliation(s)
- William H Herman
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - Claudia Villatoro
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Kevin L Joiner
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - Laura N McEwen
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
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24
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Ackermann RT, Cameron KA, Liss DT, Dolan N, Aikman C, Carson A, Harris SA, Doyle K, Cooper AJ, Hitsman B. Primary care delivery of behavioral weight loss services for adults with cardiovascular risk factors: development of pragmatic practice components and results of a randomized feasibility trial. RESEARCH SQUARE 2023:rs.3.rs-3074046. [PMID: 37547026 PMCID: PMC10402202 DOI: 10.21203/rs.3.rs-3074046/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Background Intensive lifestyle interventions (ILI) improve weight loss and cardiovascular risk factors, but health systems face challenges implementing them. We engaged stakeholders to cocreate and evaluate feasibility of primary care implementation strategies and of a pragmatic randomization procedure to be used for a future effectiveness trial. Methods The study setting was a single, urban primary care office. Patients with BMI ≥ 27 and ≥ 1 cardiovascular risk factor were sent a single electronic health record (EHR) message between December 2019 and January 2020 offering services to support an initial weight loss goal of about 10 pounds in 10 weeks. All patients who affirmed weight loss interest were pragmatically enrolled in the trial and offered "Basic Lifestyle Services" (BLS), including a scale that transmits weight data to the EHR using cellular networks, a coupon to enroll in lifestyle coaching resources through a partnering fitness organization, and periodic EHR messages encouraging use of these resources. About half (n = 42) of participants were randomized by an automated EHR algorithm to also receive "Customized Lifestyle Services" (CLS), including weekly email messages adapted to individual weight loss progress and telephonic coaching by a nurse for those facing challenges. Interventions and assessments spanned January to July 2020, with interference by the coronavirus pandemic. Weight measures were collected from administrative sources. Qualitative analysis of stakeholder recommendations and patient interviews assessed acceptability, appropriateness, and sustainability of intervention components. Results Over 6 weeks, 426 patients were sent the EHR invitation message and 80 (18.8%) affirmed interest in the weight loss goal and were included for analysis. EHR data were available to ascertain a 6-month weight value for 77 (96%) patients. Overall, 62% of participants lost weight; 15.0% exhibited weight loss ≥ 5%, with no statistically significant difference between CLS or BLS arms (p = 0.85). CLS assignment increased participation in daily self-weighing (43% versus 21% of patients through 12 weeks) and enrollment in referral-based lifestyle support resources (52% versus 37%). Conclusions This preliminary study demonstrates feasibility of implementation strategies for primary care offices to offer and coordinate ILI core components, as well as a pragmatic randomization procedure for use in a future randomized comparative trial.
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25
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Ackermann RT, Cameron K, Liss D, Dolan N, Aikman C, Carson A, Harris S, Doyle K, Cooper A, Hitsman B. Primary care delivery of behavioral weight loss services for adults with cardiovascular risk factors: development of pragmatic implementation strategies and results of a randomized feasibility trial. RESEARCH SQUARE 2023:rs.3.rs-2806196. [PMID: 37292808 PMCID: PMC10246232 DOI: 10.21203/rs.3.rs-2806196/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Intensive lifestyle interventions (ILI) improve weight loss and cardiovascular risk factors, but health systems face challenges implementing them. We engaged stakeholders to cocreate and evaluate feasibility of primary care implementation strategies and of a pragmatic randomization procedure to be used for a future effectiveness trial. Methods The study setting was a single, urban primary care office. Patients with BMI ≥ 27 and ≥ 1 cardiovascular risk factor were sent a single electronic health record (EHR) message between December 2019 and January 2020 offering services to support an initial weight loss goal of about "10 pounds in 10 weeks." All patients who affirmed weight loss interest were pragmatically enrolled in the trial and offered "Basic Lifestyle Services" (BLS), including a scale that transmits weight data to the EHR using cellular networks, a coupon to enroll in lifestyle coaching resources through a partnering fitness organization, and periodic EHR messages encouraging use of these resources. About half (n = 42) of participants were randomized by an automated EHR algorithm to also receive "Customized Lifestyle Services" (CLS), including weekly email messages adapted to individual weight loss progress and telephonic coaching by a nurse for those facing challenges. Interventions and assessments spanned January to July 2020, with interference by the coronavirus pandemic. Weight measures were collected from administrative sources. Qualitative analysis of stakeholder recommendations and patient interviews assessed acceptability, appropriateness, and sustainability of intervention components. Results Over 6 weeks, 426 patients were sent the EHR invitation message and 80 (18.8%) affirmed interest in the weight loss goal and were included for analysis. EHR data were available to ascertain a 6-month weight value for 77 (96%) patients. Overall, 62% of participants lost weight; 15.0% exhibited weight loss ≥ 5%, with no statistically significant difference between CLS or BLS arms (p = 0.85). CLS assignment increased participation in daily self-weighing (43% versus 21% of patients through 12 weeks) and enrollment in referral-based lifestyle support resources (52% versus 37%). Conclusions This preliminary study demonstrates feasibility of implementation strategies for primary care offices to offer and coordinate ILI core components, as well as a pragmatic randomization procedure for use in a future randomized comparative trial.
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Affiliation(s)
| | | | - David Liss
- Northwestern University Feinberg School of Medicine
| | - Nancy Dolan
- Northwestern University Feinberg School of Medicine
| | | | | | | | - Kathryn Doyle
- Northwestern Medicine: Northwestern Memorial HealthCare Corp
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26
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Reeves D, Woodham AA, French D, Bower P, Holland F, Kontopantelis E, Cotterill S. The influence of demographic, health and psychosocial factors on patient uptake of the English NHS diabetes prevention programme. BMC Health Serv Res 2023; 23:352. [PMID: 37041541 PMCID: PMC10091609 DOI: 10.1186/s12913-023-09195-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 02/17/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND The prevention of type 2 diabetes (T2DM) is a major concern for health services around the world. The English NHS Diabetes Prevention Programme (NHS-DPP) offers a group face-to-face behaviour change intervention, based around exercise and diet, to adults with non-diabetic hyperglycaemia (NDH), referred from primary care. Previous analysis of the first 100,000 referrals revealed just over half of those referred to the NHS-DPP took up a place. This study aimed to identify the demographic, health and psychosocial factors associated with NHS-DPP uptake to help inform the development of interventions to improve uptake and address inequities between population groups. METHODS Drawing on the Behavioral Model of Health Services Utilization we developed a survey questionnaire to collect data on a wide range of demographic, health and psychosocial factors that might influence uptake of the NHS-DPP. We distributed this questionnaire to a cross-sectional random sample of 597 patients referred to the NHS-DPP across 17 general practices, chosen for variation. Multivariable regression analysis was used to identify factors associated with NHS-DPP uptake. RESULTS 325 out of 597 questionnaires were completed (54%). Only a third of responders took up the offer of a place. The best performing model for uptake (AUC = 0.78) consisted of four factors: older age; beliefs concerning personal vulnerability to T2DM; self-efficacy for reducing T2DM risk; and the efficacy of the NHS-DPP. After accounting for these, demographic and health-related factors played only a minor role. CONCLUSION Unlike fixed demographic characteristics, psychosocial perceptions may be amenable to change. NHS-DPP uptake rates may be improved by targeting the beliefs of patients about their risk of developing T2DM, their ability to carry out and sustain behaviours to reduce this risk, and the efficacy of the NHS-DPP in providing the necessary understanding and skills required. The recently introduced digital version of the NHS DPP could help address the even lower uptake amongst younger adults. Such changes could facilitate proportional access from across different demographic strata.
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Affiliation(s)
- David Reeves
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
| | - Adrine Ablitt Woodham
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - David French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Peter Bower
- Centre for Primary Care and Health Services Research, School of Health Sciences, NIHR ARC Greater Manchester, The University of Manchester, Manchester, UK
| | - Fiona Holland
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Evangelos Kontopantelis
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Sarah Cotterill
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Cotterill S, McHugh S. Healthcare workers’ perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol. HRB Open Res 2023. [DOI: 10.12688/hrbopenres.13702.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
Abstract
Background: Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs. Methods: A “best fit” framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 25 years (1997–2022). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs’ perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage. Discussion: Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs’ perspectives of the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.
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Ali MK, Imperatore G, Benoit SR, O'Brien MJ, Holliday CS, Echouffo-Tcheugui JB, McKeever Bullard K. Impact of changes in diabetes screening guidelines on testing eligibility and potential yield among adults without diagnosed diabetes in the United States. Diabetes Res Clin Pract 2023; 197:110572. [PMID: 36775024 PMCID: PMC10352955 DOI: 10.1016/j.diabres.2023.110572] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/23/2023] [Accepted: 01/31/2023] [Indexed: 02/12/2023]
Abstract
AIMS Recent USPSTF and ADA guidelines expanded criteria of whom to test to identify prediabetes and diabetes. We described which Americans are eligible and report receiving glucose testing by USPSTF 2015 and 2021 as well as ADA 2003 and 2022 recommendations, and performance of each guideline. METHODS We analyzed cross-sectional data from 6,007 non-pregnant U.S. adults without diagnosed diabetes in the 2013-2018 National Health and Nutrition Examination Surveys. We reported proportions of adults who met each guideline's criteria for glucose testing and reported receiving glucose testing in the past three years, overall and by key population subgroups,. Defining prediabetes (FPG 100-125 mg/dL and/or HbA1c 5.7-6.4 %) or previously undiagnosed diabetes (FPG ≥ 126 mg/dL and/or HbA1c ≥ 6.5 %), we assessed sensitivity and specificity. RESULTS During 2013-2018, 76.7 million, 90.4 million, 157.7 million, and 169.5 million US adults met eligibility for glucose testing by USPSTF 2015, 2021, and ADA 2003 and 2022 guidelines, respectively. On average, 52 % of adults reported receiving glucose testing within the past 3 years. Likelihood of receiving glucose testing was lower among younger adults, men, Hispanic adults, those with less than high school completion, those living in poverty, and those without health insurance or a usual place of care than their respective counterparts. ADA recommendations were most sensitive (range: 91.0 % to 100.0 %) and least specific (range: 18.3 % to 35.3 %); USPSTF recommendations exhibited lower sensitivity (51.9 % to 66.6 %), but higher specificity (56.6 % to 74.5 %). CONCLUSIONS An additional 12-14 million US adults are eligible for diabetes screening. USPSTF 2021 criteria provide balanced sensitivity and specificity while ADA 2022 criteria maximize sensitivity. Glucose testing does not align with guidelines and disparities remain.
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Affiliation(s)
- Mohammed K Ali
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, United States.
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Stephen R Benoit
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Christopher S Holliday
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes and Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Kai McKeever Bullard
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, United States
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Boltri JM, Tracer H, Strogatz D, Idzik S, Schumacher P, Fukagawa N, Leake E, Powell C, Shell D, Wu S, Herman WH. The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs to Prevent Diabetes in People With Prediabetes. Diabetes Care 2023; 46:e39-e50. [PMID: 36701590 PMCID: PMC9887613 DOI: 10.2337/dc22-0620] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 11/03/2022] [Indexed: 01/27/2023]
Abstract
Individuals with an elevated fasting glucose level, elevated glucose level after glucose challenge, or elevated hemoglobin A1c level below the diagnostic threshold for diabetes (collectively termed prediabetes) are at increased risk for type 2 diabetes. More than one-third of U.S. adults have prediabetes but fewer than one in five are aware of the diagnosis. Rigorous scientific research has demonstrated the efficacy of both intensive lifestyle interventions and metformin in delaying or preventing progression from prediabetes to type 2 diabetes. The National Clinical Care Commission (NCCC) was a federal advisory committee charged with evaluating and making recommendations to improve federal programs related to the prevention of diabetes and its complications. In this article, we describe the recommendations of an NCCC subcommittee that focused primarily on prevention of type 2 diabetes in people with prediabetes. These recommendations aim to improve current federal diabetes prevention activities by 1) increasing awareness of and diagnosis of prediabetes on a population basis; 2) increasing the availability of, referral to, and insurance coverage for the National Diabetes Prevention Program and the Medicare Diabetes Prevention Program; 3) facilitating Food and Drug Administration review and approval of metformin for diabetes prevention; and 4) supporting research to enhance the effectiveness of diabetes prevention. Cognizant of the burden of type 1 diabetes, the recommendations also highlight the importance of research to advance our understanding of the etiology of and opportunities for prevention of type 1 diabetes.
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Affiliation(s)
| | - Howard Tracer
- Agency for Healthcare Research and Quality, Department of Health and Human Services, Rockville, MD
| | | | - Shannon Idzik
- School of Nursing, University of Maryland, Baltimore, MD
| | - Pat Schumacher
- Centers for Disease Control and Prevention, Department of Health and Human Services, Atlanta, GA
| | | | - Ellen Leake
- Juvenile Diabetes Research Foundation, Jackson, MS
| | - Clydette Powell
- School of Medicine and Health Services, George Washington University, Washington, DC
| | | | - Samuel Wu
- U.S. Office of Minority Health, Rockville, MD
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Herman WH, Schillinger D, Bolen S, Boltri JM, Bullock A, Chong W, Conlin PR, Cook JW, Dokun A, Fukagawa N, Gonzalvo J, Greenlee MC, Hawkins M, Idzik S, Leake E, Linder B, Lopata AM, Schumacher P, Shell D, Strogatz D, Towne J, Tracer H, Wu S. The National Clinical Care Commission Report to Congress: Recommendations to Better Leverage Federal Policies and Programs to Prevent and Control Diabetes. Diabetes Care 2023; 46:255-261. [PMID: 36701592 PMCID: PMC9887614 DOI: 10.2337/dc22-1587] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 11/01/2022] [Indexed: 01/27/2023]
Abstract
The National Clinical Care Commission (NCCC) was established by Congress to make recommendations to leverage federal policies and programs to more effectively prevent and treat diabetes and its complications. The NCCC developed a guiding framework that incorporated elements of the Socioecological and Chronic Care Models. It surveyed federal agencies and conducted follow-up meetings with representatives from 10 health-related and 11 non-health-related federal agencies. It held 12 public meetings, solicited public comments, met with numerous interested parties and key informants, and performed comprehensive literature reviews. The final report, transmitted to Congress in January 2022, contained 39 specific recommendations, including 3 foundational recommendations that addressed the necessity of an all-of-government approach to diabetes, health equity, and access to health care. At the general population level, the NCCC recommended that the federal government adopt a health-in-all-policies approach so that the activities of non-health-related federal agencies that address agriculture, food, housing, transportation, commerce, and the environment be coordinated with those of health-related federal agencies to affirmatively address the social and environmental conditions that contribute to diabetes and its complications. For individuals at risk for type 2 diabetes, including those with prediabetes, the NCCC recommended that federal policies and programs be strengthened to increase awareness of prediabetes and the availability of, referral to, and insurance coverage for intensive lifestyle interventions for diabetes prevention and that data be assembled to seek approval of metformin for diabetes prevention. For people with diabetes and its complications, the NCCC recommended that barriers to proven effective treatments for diabetes and its complications be removed, the size and competence of the workforce to treat diabetes and its complications be increased, and new payment models be implemented to support access to lifesaving medications and proven effective treatments for diabetes and its complications. The NCCC also outlined an ambitious research agenda. The NCCC strongly encourages the public to support these recommendations and Congress to take swift action.
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Affiliation(s)
| | - Dean Schillinger
- University of California San Francisco and San Francisco General Hospital, San Francisco, CA
| | - Shari Bolen
- Case Western Reserve at The MetroHealth System, Cleveland, OH
| | - John M. Boltri
- Northeast Ohio Medical University College of Medicine, Rootstown, OH
| | - Ann Bullock
- Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD
| | | | - Paul R. Conlin
- Department of Veterans Affairs Boston Healthcare System, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Ayotunde Dokun
- Carver School of Medicine, University of Iowa, Iowa City, IA
| | - Naomi Fukagawa
- Beltsville Human Nutrition Research Center, U.S. Department of Agriculture Agricultural Research Service, Beltsville, MD
| | | | | | | | - Shannon Idzik
- School of Nursing, University of Maryland Baltimore, Baltimore, MD
| | - Ellen Leake
- International Board of Directors, Juvenile Diabetes Research Foundation, Jackson, MS
| | - Barbara Linder
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Aaron M. Lopata
- Maternal and Child Health Bureau, Health Resources and Services Administration, Rockville, MD
| | - Pat Schumacher
- Centers for Disease Control and Prevention, Department of Health and Human Services, Atlanta, GA
| | | | | | - Jana Towne
- Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD
| | - Howard Tracer
- Agency for Healthcare Research and Quality, Department of Health and Human Services, Rockville, MD
| | - Samuel Wu
- Office of Minority Health, Department of Health and Human Service, Rockville, MD
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31
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Diabetes in Women After Gestational Diabetes: A Missed Opportunity for Prevention. Am J Prev Med 2023; 64:137-141. [PMID: 36180315 DOI: 10.1016/j.amepre.2022.08.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/20/2022] [Accepted: 08/12/2022] [Indexed: 02/05/2023]
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Almeida FA, You W, Brito FA, Alves TF, Goessl C, Wall SS, Seidel RW, Davy BM, Greenawald MH, Hill JL, Estabrooks PA. A randomized controlled trial to test the effectiveness of two technology-enhanced diabetes prevention programs in primary care: The DiaBEAT-it study. Front Public Health 2023; 11:1000162. [PMID: 36908422 PMCID: PMC9998510 DOI: 10.3389/fpubh.2023.1000162] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 02/08/2023] [Indexed: 02/26/2023] Open
Abstract
Objective To evaluate the effectiveness of two technology-enhanced interventions for diabetes prevention among adults at risk for developing diabetes in a primary care setting. Methods The DiaBEAT-it study employed a hybrid 2-group preference (Choice) and 3-group randomized controlled (RCT) design. This paper presents weight related primary outcomes of the RCT arm. Patients from Southwest Virginia were identified through the Carilion Clinic electronic health records. Eligible participants (18 and older, BMI ≥ 25, no Type 2 Diabetes) were randomized to either Choice (n = 264) or RCT (n = 334). RCT individuals were further randomized to one of three groups: (1) a 2-h small group class to help patients develop a personal action plan to prevent diabetes (SC, n = 117); (2) a 2-h small group class plus automated telephone calls using an interactive voice response system (IVR) to help participants initiate weight loss through a healthful diet and regular physical activity (Class/IVR, n = 110); or (3) a DVD with same content as the class plus the same IVR calls over a period of 12 months (DVD/IVR, n = 107). Results Of the 334 participants that were randomized, 232 (69%) had study measured weights at 6 months, 221 (66%) at 12 months, and 208 (62%) at 18 months. Class/IVR participants were less likely to complete weight measures than SC or DVD/IVR. Intention to treat analyses, controlling for gender, race, age and baseline BMI, showed that DVD/IVR and Class/IVR led to reductions in BMI at 6 (DVD/IVR -0.94, p < 0.001; Class/IVR -0.70, p < 0.01), 12 (DVD/IVR -0.88, p < 0.001; Class/IVR-0.82, p < 0.001) and 18 (DVD/IVR -0.78, p < 0.001; Class/IVR -0.58, p < 0.01) months. All three groups showed a significant number of participants losing at least 5% of their body weight at 12 months (DVD/IVR 26.87%; Class/IVR 21.62%; SC 16.85%). When comparing groups, DVD/IVR were significantly more likely to decrease BMI at 6 months (p < 0.05) and maintain the reduction at 18 months (p < 0.05) when compared to SC. There were no differences between the other groups. Conclusions The DiaBEAT-it interventions show promise in responding to the need for scalable, effective methods to manage obesity and prevent diabetes in primary care settings that do not over burden primary care clinics and providers. Registration https://clinicaltrials.gov/ct2/show/NCT02162901, identifier: NCT02162901.
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Affiliation(s)
- Fabio A Almeida
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, United States
| | - Wen You
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Fabiana A Brito
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, United States
| | - Thais F Alves
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, United States
| | - Cody Goessl
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, United States
| | - Sarah S Wall
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA, United States
| | - Richard W Seidel
- Department of Psychiatry, Carilion Clinic, Roanoke, VA, United States
| | - Brenda M Davy
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA, United States
| | - Mark H Greenawald
- Department of Family and Community Medicine, Carilion Clinic, Roanoke, VA, United States
| | - Jennie L Hill
- Department of Populational Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Paul A Estabrooks
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, United States
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Madievsky R, Vu A, Cheng F, Chon J, Turk N, Krueger A, Krong J, Maranon R, Liu S, Han CS, Norris KC, Mangione C, Page J, Thomas S, Duru OK, Moin T. A randomized controlled trial of a shared decision making intervention for diabetes prevention for women with a history of gestational diabetes mellitus: The Gestational diabetes Risk Attenuation for New Diabetes (GRAND study). Contemp Clin Trials 2023; 124:107007. [PMID: 36384219 PMCID: PMC10642368 DOI: 10.1016/j.cct.2022.107007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/14/2022] [Accepted: 11/10/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a risk factor for the development of type 2 diabetes. Metformin and lifestyle change through a Diabetes Prevention Program (DPP) are equally effective in preventing diabetes in patients with a GDM history, so women can choose a strategy based on their preferences. This study aims to test whether shared decision making (SDM) can help women with a history of GDM increase adoption of evidence-based strategies and lose weight to lower their risk of incident diabetes in real-world settings. METHODS This pragmatic randomized controlled trial (RCT) will test the effectiveness of SDM for diabetes prevention among 310 overweight/obese women with a history of GDM and prediabetes from two large health care systems (n = 155 from UCLA Health and n = 155 from Intermountain Healthcare). The primary outcome is the proportion of participants who lose ≥5% body weight at 12 months. Secondary outcomes include uptake of DPP and/or metformin and other patient-reported outcomes such as patient activation and health-related quality of life. Rates of GDM in a subsequent pregnancy will be an exploratory outcome. A descriptive analysis of costs related to SDM implementation will also be conducted. CONCLUSION This is the first RCT to examine the effectiveness of SDM on weight loss, lifestyle change and/or metformin use, and other patient-reported outcomes in participants with a GDM history at risk of developing diabetes. TRIAL REGISTRATION ClinicalTrials.gov, NCT03766256. Registered on 6 December 2018.
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Affiliation(s)
- Ruth Madievsky
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Amanda Vu
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Felicia Cheng
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Janet Chon
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Norman Turk
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Ashley Krueger
- Healthcare Delivery Institute, Office of Research, Intermountain Healthcare, 5026 S. State St, Murray, UT 84107, USA.
| | - Jacob Krong
- Healthcare Delivery Institute, Office of Research, Intermountain Healthcare, 5026 S. State St, Murray, UT 84107, USA.
| | - Richard Maranon
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Sandra Liu
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Christina S Han
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California, 200 Medical Plaza, Suite 430, Los Angeles, CA 90095, USA.
| | - Keith C Norris
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, David Geffen School of Medicine at UCLA, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Carol Mangione
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, David Geffen School of Medicine at UCLA, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA; Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA, USA.
| | - Jessica Page
- Department of Maternal-Fetal Medicine, Intermountain Healthcare. Department of Maternal-Fetal Medicine, University of Utah Health, 8th Ave & C St E, Salt Lake City, UT 84143, USA.
| | - Samuel Thomas
- Department of Internal Medicine, Intermountain Healthcare, 5121 Cottonwood St, Murray, UT 84017, USA.
| | - O Kenrik Duru
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, David Geffen School of Medicine at UCLA, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA.
| | - Tannaz Moin
- Department of Medicine, Division of General Internal Medicine-Health Services Research, University of California, 1100 Glendon Ave STE 850, Los Angeles, CA 90024, USA; HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA; Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, UCLA, Los Angeles, CA 90024, USA.
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Neuwahl SJ, Sharma AJ, Zhang P, Hoerger TJ. Postdelivery Intervention to Prevent Type 2 Diabetes and the Cost-Effectiveness of Screening Criteria for Gestational Diabetes. Prev Chronic Dis 2022; 19:E89. [PMID: 36580414 PMCID: PMC9809391 DOI: 10.5888/pcd19.220055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
PURPOSE AND OBJECTIVES The objective of our study was to model the costs and benefits of 2 screening criteria for people with gestational diabetes. Because people with a history of gestational diabetes are at increased risk for type 2 diabetes, we modeled the effects of a postdelivery intervention based on the Diabetes Prevention Program, which is offered to all people with a history of gestational diabetes defined by either set of criteria. INTERVENTION APPROACH We used a probabilistic decision tree model to compare the cost-effectiveness of the International Association of Diabetes in Pregnancy Study Group's (IADPSG's) screening criteria and the Carpenter-Coustan screening criteria for gestational diabetes through delivery and a follow-up period during which people might develop type 2 diabetes after pregnancy. EVALUATION METHODS The model included perinatal outcomes for the infant and mother and a 10-year postdelivery period to model maternal progression to type 2 diabetes. The model assumed the health care system perspective. People with gestational diabetes received treatment for gestational diabetes during pregnancy, and we assumed that 10% would participate in a Diabetes Prevention Program-based postdelivery intervention to reduce the risk of type 2 diabetes. We estimated the cost-effectiveness of each screening strategy in quality-adjusted life-years (QALYs) in 2022 dollars. RESULTS At 10% participation in a Diabetes Prevention Program-based postdelivery intervention, the Carpenter-Coustan criteria were cost-effective, compared with no screening ($66,085 per QALY). The IADPSG screening criteria were slightly less cost-effective, compared with no screening ($97,878 per QALY) or Carpenter-Coustan screening criteria ($122,279 per QALY). With participation rates of 23% or higher, the IADPSG screening criteria were highly cost-effective ($48,588 per QALY), compared with Carpenter-Coustan screening criteria. IMPLICATIONS FOR PUBLIC HEALTH Diagnosing a larger proportion of pregnant people using the IADPSG screening criteria, compared with using Carpenter-Coustan screening criteria, is not cost-effective at low levels of participation. However, with moderate levels of participation (23%) in a Diabetes Prevention Program-based postdelivery intervention, the expanded IADPSG screening criteria are cost-effective and reach up to 4 times as many people as Carpenter-Coustan screening.
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Affiliation(s)
| | - Andrea J. Sharma
- Centers for Disease Control and Prevention, Atlanta, Georgia,US Public Health Service Commissioned Corps, Atlanta, Georgia
| | - Ping Zhang
- Centers for Disease Control and Prevention, Atlanta, Georgia
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McHugh S, Riordan F, Shelton RC. Breaking the quality-equity cycle when implementing prevention programmes. BMJ Qual Saf 2022; 32:247-250. [PMID: 36598002 DOI: 10.1136/bmjqs-2022-015558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Affiliation(s)
- Sheena McHugh
- School of Public Health, University College Cork, Cork, Ireland
| | - Fiona Riordan
- School of Public Health, University College Cork, Cork, Ireland
| | - Rachel C Shelton
- Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
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Tseng E, Durkin N, Clark JM, Maruthur NM, Marsteller JA, Segal JB. Clinical Care Among Individuals with Prediabetes in Primary Care: a Retrospective Cohort Study. J Gen Intern Med 2022; 37:4112-4119. [PMID: 35237886 PMCID: PMC8890680 DOI: 10.1007/s11606-022-07412-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 01/07/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND The incidence of diabetes in the general US population (6.7 per 1000 adults in 2018) has not changed significantly since 2000, suggesting that individuals with prediabetes are not connecting to evidence-based interventions. OBJECTIVE We sought to describe the clinical care of individuals with prediabetes, determine patient factors associated with this care, and evaluate risk for diabetes development. DESIGN Retrospective cohort study using linked claims and electronic health record data. PARTICIPANTS We created a cohort of adults with prediabetes based on laboratory measures. We excluded patients with a prior history of diabetes, pregnancy in prior 6 months, or recent steroid use. MAIN MEASURES We measured ordering and completion of clinical services targeting prediabetes management and diabetes incidence within 12 months following cohort entry. We tested the strength of the association between individuals' characteristics and outcomes of interest using bivariate and multiple logistic regression. RESULTS Our cohort included 3888 patients with a laboratory diagnosis of prediabetes (incident or prevalent prediabetes). Within 12 months, 63.4% had repeat glycemic testing, yet only 10.4% had coded diagnoses of prediabetes, 1.0% were referred for nutrition services, and 5.4% were prescribed metformin. Most patients completed labs and nutrition visits when referred and filled metformin when prescribed. Individuals with a higher glycemic level or BMI were more likely to receive prediabetes clinical care. Six percent of individuals developed diabetes within 12 months of cohort entry and had higher glycemic levels and BMI ≥ 30 kg/m2. In the adjusted model, Black individuals had 1.4 times higher odds of developing diabetes than White individuals. CONCLUSIONS Rates of prediabetes clinical care activities are low and have not improved. Strategies are urgently needed to improve prediabetes care delivery thereby preventing or delaying incident diabetes.
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Affiliation(s)
- Eva Tseng
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
| | - Nowella Durkin
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Jeanne M Clark
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nisa M Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jill A Marsteller
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jodi B Segal
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Center for Drug Safety and Effectiveness, Johns Hopkins University, Baltimore, MD, USA
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37
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Duncan BB. New metrics to support diabetes education and advocacy. Lancet Diabetes Endocrinol 2022; 10:765-766. [PMID: 36183735 DOI: 10.1016/s2213-8587(22)00271-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 11/24/2022]
Affiliation(s)
- Bruce B Duncan
- Postgraduate Program in Epidemiology and Department of Social Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil.
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Madrigal L, Manders OC, Kegler M, Haardörfer R, Piper S, Blais LM, Weber MB, Escoffery C. Inner and outer setting factors that influence the implementation of the National Diabetes Prevention Program (National DPP) using the Consolidated Framework for Implementation Research (CFIR): a qualitative study. Implement Sci Commun 2022; 3:104. [PMID: 36183133 PMCID: PMC9526531 DOI: 10.1186/s43058-022-00350-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 09/19/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Scaling evidence-based interventions are key to impacting population health. The National DPP lifestyle change program is one such intervention that has been scaled across the USA over the past 20 years; however, enrollment is an ongoing challenge. Furthermore, little is known about which organizations are most successful with program delivery, enrollment, and scaling. This study aims to understand more about the internal and external organization factors that impact program implementation and reach. METHODS Between August 2020 and January 2021, data were collected through semi-structured key informant interviews with 30 National DPP delivery organization implementers. This study uses a qualitative cross-case construct rating methodology to assess which Consolidated Framework for Implementation Research (CFIR) inner and outer setting constructs contributed (both in valence and magnitude) to the organization's current level of implementation reach (measured by average participant enrollment per year). A construct by case matrix was created with ratings for each CFIR construct by interviewee and grouped by implementation reach level. RESULTS Across the 16 inner and outer setting constructs and subconstructs, the interviewees with greater enrollment per year provided stronger and more positive examples related to implementation and enrollment of the program, while the lower reach groups reported stronger and more negative examples across rated constructs. Four inner setting constructs/subconstructs (structural characteristics, compatibility, goals and feedback, and leadership engagement) were identified as "distinguishing" between enrollment reach levels based on the difference between groups by average rating, the examination of the number of extreme ratings within levels, and the thematic analysis of the content discussed. Within these constructs, factors such as organization size and administrative processes; program fit with existing organization services and programs; the presence of enrollment goals; and active leadership involvement in implementation were identified as influencing program reach. CONCLUSIONS Our study identified a number of influential CFIR constructs and their impact on National DPP implementation reach. These findings can be leveraged to improve efforts in recruiting and assisting delivery organizations to increase the reach and scale of the National DPP as well as other evidence-based interventions.
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Affiliation(s)
- Lillian Madrigal
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA.
| | - Olivia C Manders
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
| | - Michelle Kegler
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
| | - Regine Haardörfer
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
| | - Sarah Piper
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
| | - Linelle M Blais
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
| | - Mary Beth Weber
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
| | - Cam Escoffery
- Rollins School of Public Health Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA
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39
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Impact of a Digital Diabetes Prevention Program on Estimated 8-Year Risk of Diabetes in a Workforce Population. J Occup Environ Med 2022; 64:881-888. [DOI: 10.1097/jom.0000000000002598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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40
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Campione JR, Ritchie ND, Fishbein HA, Mardon RE, Johnson MC, Pace W, Birch RJ, Seeholzer EL, Zhang X, Proia K, Siegel KR, McKeever Bullard K. Use and Impact of Type 2 Diabetes Prevention Interventions. Am J Prev Med 2022; 63:603-610. [PMID: 35718629 PMCID: PMC10015596 DOI: 10.1016/j.amepre.2022.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/22/2022] [Accepted: 04/05/2022] [Indexed: 11/01/2022]
Abstract
INTRODUCTION RCTs have found that type 2 diabetes can be prevented among high-risk individuals by metformin medication and evidence-based lifestyle change programs. The purpose of this study is to estimate the use of interventions to prevent type 2 diabetes in real-world clinical practice settings and determine the impact on diabetes-related clinical outcomes. METHODS The analysis performed in 2020 used 2010‒2018 electronic health record data from 69,434 patients aged ≥18 years at high risk for type 2 diabetes in 2 health systems. The use and impact of prescribed metformin, lifestyle change program, bariatric surgery, and combinations of the 3 were examined. A subanalysis was performed to examine uptake and retention among patients referred to the National Diabetes Prevention Program. RESULTS Mean HbA1c values declined from before to after intervention for patients who were prescribed metformin (-0.067%; p<0.001) or had bariatric surgery (-0.318%; p<0.001). Among patients referred to the National Diabetes Prevention Program lifestyle change program, the type 2 diabetes postintervention incidence proportion was 14.0% for nonattendees, 12.8% for some attendance, and 7.5% for those who attended ≥4 sessions (p<0.001). Among referred patients to the National Diabetes Prevention Program lifestyle change program, uptake was low (13% for 1‒3 sessions, 15% for ≥4 sessions), especially among males and Hispanic patients. CONCLUSIONS Findings suggest that metformin and bariatric surgery may improve HbA1c levels and that participation in the National Diabetes Prevention Program may reduce type 2 diabetes incidence. Efforts to increase the use of these interventions may have positive impacts on diabetes-related health outcomes.
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Affiliation(s)
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, Denver, Colorado
| | | | | | | | | | | | | | - Xuanping Zhang
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Krista Proia
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Karen R Siegel
- Centers for Disease Control and Prevention, Atlanta, Georgia
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41
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Dungan KM. A New Bar for Pharmacologic Weight Loss: Type 2 Diabetes Prevention. Diabetes Care 2022; 45:2204-2206. [PMID: 36150060 DOI: 10.2337/dci22-0019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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42
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Li E, Waters A, Cunningham A, Silverio A, Han J, Mills G. Patient and Provider Prediabetes Knowledge, Attitudes, and Behaviors in a Large Urban Family Medicine Practice. Am J Lifestyle Med 2022. [DOI: 10.1177/15598276221123527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
One-third of U.S. adults have prediabetes, but only 11% are aware of their condition. Many do not receive education or treatment. The purpose of this study is to understand family medicine providers’ and patients’ attitudes, knowledge, and behaviors regarding prediabetes and its management, to guide future management interventions. Cross-sectional surveys of providers ( n = 54, 57% response rate) and patients with prediabetes ( n = 148, 16.5% response rate) were administered at a large urban academic family medicine practice. Nearly all providers agree prediabetes screening is important, but over half were unaware of the national Diabetes Prevention Program (DPP) and most do not prescribe metformin to eligible patients. Over half of patients reported being told they have prediabetes but <5% had been referred to DPP and over half were unaware of medication options. In open-ended responses, providers suggested nutrition counseling resources and an improved DPP referral process to improve prediabetes care. Patients requested clear diagnosis, education on treatment options, and nutritional counseling. This study indicates that notable gaps continue to exist in provider and patient understanding and management of prediabetes, suggesting that interventions to improve prediabetes care should include more effective counseling on diagnosis and treatment and expanding access to nutrition and educational resources.
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Affiliation(s)
- Erica Li
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Alexa Waters
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Amy Cunningham
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Alexis Silverio
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Jasmine Han
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
| | - Geoffrey Mills
- Department of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH)
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Siegel KR, Ali MK, Ackermann RT, Black B, Huguet N, Kho A, Mangione CM, Nauman E, Ross-Degnan D, Schillinger D, Shi L, Wharam JF, Duru OK. Evaluating Natural Experiments that Impact the Diabetes Epidemic: an Introduction to the NEXT-D3 Network. Curr Diab Rep 2022; 22:393-403. [PMID: 35864324 PMCID: PMC9303841 DOI: 10.1007/s11892-022-01480-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/11/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing. RECENT FINDINGS The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications.
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Affiliation(s)
- Karen R Siegel
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Ronald T Ackermann
- Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Bernard Black
- Pritzker School of Law, Institute for Policy Research, and Kellogg School of Management, Northwestern University, Evanston, IL, USA
| | - Nathalie Huguet
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Abel Kho
- Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Carol M Mangione
- David Geffen School of Medicine at UCLA and Fielding School of Public Health, UCLA, Los Angeles, CA, USA
| | | | - Dennis Ross-Degnan
- Duke University Department of Medicine and Duke-Margolis Center for Health Policy, Duke University, Durham, NC, USA
| | - Dean Schillinger
- Division of General Internal Medicine and Center for Vulnerable Populations, San Francisco General Hospital and University of California San Francisco, San Francisco, CA, USA
| | - Lizheng Shi
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - J Frank Wharam
- Duke University Department of Medicine and Duke-Margolis Center for Health Policy, Duke University, Durham, NC, USA
| | - O Kenrik Duru
- David Geffen School of Medicine at UCLA and Fielding School of Public Health, UCLA, Los Angeles, CA, USA
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Brown SD, Hedderson MM, Gordon N, Albright CL, Tsai AL, Quesenberry CP, Ferrara A. Reach, acceptability, and perceived success of a telehealth diabetes prevention program among racially and ethnically diverse patients with gestational diabetes: the GEM cluster-randomized trial. Transl Behav Med 2022; 12:793-799. [PMID: 35849139 DOI: 10.1093/tbm/ibac019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Patients with gestational diabetes mellitus and from racial/ethnic minority groups face disproportionate risk for type 2 diabetes. Lifestyle interventions, if accessible and acceptable to diverse patients, could advance diabetes prevention and mitigate racial/ethnic disparities. Here we describe overall and race/ethnicity-specific reach, acceptability, and perceived success from an effective telehealth diabetes prevention lifestyle program for patients with gestational diabetes mellitus, implemented in the Gestational Diabetes Effects on Moms (GEM) cluster-randomized controlled trial. GEM tested a program of 13 telephone sessions and behavior change techniques (BCTs, e.g., goal setting) in a healthcare system. We evaluated participation (completing ≥1 session), acceptability of BCTs, and perceived success reaching program goals. Among 1,087 patients (75.2% from minority groups), 50.3% participated. Participation rates were 61.7% among Black, 56.4% among Hispanic, 55.6% among multiracial/other, 53.0% among White, and 43.7% among Asian/Pacific Islander patients. Evaluation survey respondents (n = 433/547; 79.2%) largely rated BCTs as very helpful (range 40.9%-58.4%) or moderately helpful (27.3%-34.9%). Respondents from minority groups largely rated goal setting for weight management as very or moderately helpful, with fewer minority respondents rating it as only a little/not at all helpful than White respondents (p = .02). Black and White respondents reported more limited success reaching a healthy weight than Asian/Pacific Islander, Hispanic, and multiracial/other women (p = .005). A telehealth diabetes prevention lifestyle program demonstrated reach and acceptability across racial/ethnic groups. While perceived success can be improved among Black and White participants, such programs could promote access to preventive care and help mitigate disparities in diabetes risk.
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Affiliation(s)
- Susan D Brown
- Department of Internal Medicine, University of California, Davis, Sacramento, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Monique M Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Nancy Gordon
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Cheryl L Albright
- Nancy Atmospera-Walch School of Nursing, University of Hawai'i at Manoa, Honolulu, HI, USA
| | - Ai-Lin Tsai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | | | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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45
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Joiner KL, Adams MP, Lee KA, Piatt G, Davis MA. Perceived risk for diabetes among U.S. adults with undiagnosed prediabetes. Prev Med 2022; 160:107089. [PMID: 35594927 DOI: 10.1016/j.ypmed.2022.107089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/28/2022]
Abstract
The purpose was to examine the degree to which perceived risk for diabetes differed by race and ethnicity among U.S. adults with undiagnosed prediabetes. The study was a cross-sectional analysis of data from 4005 participants (aged ≥20 years) in the National Health and Nutrition Examination Survey (NHANES) program between 2011 and 2018. Individuals with prediabetes were identified using glycohemoglobin (HbA1c) data. Logistic regression was used to estimate the association between race and ethnicity and perceived risk of diabetes while adjusting for age and sex, educational level, family history of diabetes, BMI, and healthcare factors (health insurance coverage and routine place to go for healthcare). Nearly three-quarters (71.8%) of adults with undiagnosed prediabetes reported no perceived risk for diabetes. Rates of perceived risk for diabetes did not change significantly in any racial and ethnic groups from 2011 to 12 to 2017-18. In models adjusted for individual characteristics, identifying as Non-Hispanic Black was associated with a 34% higher likelihood of reporting no perceived risk compared to identifying as Non-Hispanic White (OR 1.34, 95% CI:1.03-1.74). Identifying as Hispanic was associated with a 29% higher likelihood of reporting no perceived risk compared to identifying as Non-Hispanic White (OR 1.29, 95% CI: 1.01, 1.66). Healthcare factors may have less influence on diabetes risk perception. Future public health efforts should improve diabetes risk communication efforts across racial and ethnic groups, emphasizing Non-Hispanic Black and Hispanic populations.
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Affiliation(s)
- Kevin L Joiner
- Department of Health Behavior and Biological Sciences, University of Michigan School of Nursing, Ann Arbor, MI, USA.
| | - Mackenzie P Adams
- Department of Health Behavior and Biological Sciences, University of Michigan School of Nursing, Ann Arbor, MI, USA
| | - Kathryn A Lee
- Department of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, MI, USA
| | - Gretchen Piatt
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Matthew A Davis
- Department of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, MI, USA; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
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Chehal PK, Selvin E, DeVoe JE, Mangione CM, Ali MK. Diabetes And The Fragmented State Of US Health Care And Policy. Health Aff (Millwood) 2022; 41:939-946. [PMID: 35759725 PMCID: PMC10420383 DOI: 10.1377/hlthaff.2022.00299] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Progress in the prevention and treatment of type 2 diabetes-the dominant form of diabetes-appears to have stalled in the US over the past decade, and diabetes-related morbidity has increased nationally. The most geographically and socioeconomically disadvantaged segments of the population have been especially hard hit, and interventions that reduce the risk for diabetes have not reached these populations. In this overview article we lay out how fragmentation in health policy and governance, payers and reimbursement design, and service delivery in the US has contributed to low accountability and coordination, and thus stagnation and persistent inequities. We also review the evidence regarding past, ongoing, and new reforms that may help address fragmentation, lower diabetes burdens, and narrow disparities.
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Affiliation(s)
| | | | - Jennifer E DeVoe
- Jennifer E. DeVoe, Oregon Health & Science University, Portland, Oregon
| | - Carol M Mangione
- Carol M. Mangione, University of California Los Angeles, Los Angeles, California
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47
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Alva ML, Chakkalakal RJ, Moin T, Galaviz KI. The Diabetes Prevention Gap And Opportunities To Increase Participation In Effective Interventions. Health Aff (Millwood) 2022; 41:971-979. [PMID: 35759735 PMCID: PMC10112939 DOI: 10.1377/hlthaff.2022.00259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
To understand the current state of prediabetes burden and treatment in the US, we examined recent trends in prediabetes prevalence, testing, and access to preventive resources. We estimated 13.5 percent prevalence of diagnosed prediabetes in the overall US adult population, using national survey data. Although prediabetes prevalence increased by 4.8 percentage points from 2010 to 2020, access to preventive resources remained low. The most effective intervention for diabetes prevention, known as the National Diabetes Prevention Program, remained woefully undersupplied and underused. There are only 2,098 National Diabetes Prevention Program-recognized providers nationally, and only 3 percent of adults with prediabetes have participated in the program. We suggest three actions to augment prevention efforts: increase payment for prevention interventions to avoid supply distortions, improve data integration and patient follow-up, and extend coverage and broaden access for preventive interventions. These actions, which would require policy-level changes, could lower the barriers to prevention.
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Affiliation(s)
- Maria L Alva
- Maria L. Alva , Georgetown University, Washington, D.C
| | | | - Tannaz Moin
- Tannaz Moin, University of California Los Angeles, Irvine, California
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48
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Joiner KL, McEwen LN, Hurst TE, Adams MP, Herman WH. Domains from the health belief model predict enrollment in the National Diabetes Prevention Program among insured adults with prediabetes. J Diabetes Complications 2022; 36:108220. [PMID: 35613987 PMCID: PMC10928671 DOI: 10.1016/j.jdiacomp.2022.108220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/10/2022] [Accepted: 05/13/2022] [Indexed: 11/23/2022]
Abstract
AIMS To examine enrollment in the National Diabetes Prevention Program (DPP) by insured adults with prediabetes according to domains of the Health Belief Model (HBM). METHODS Between 2015 and 2019, University of Michigan employees, retirees, and dependents with prediabetes were offered the National DPP at no out-of-pocket cost. Individuals with prediabetes were identified and mailed letters encouraging them to enroll. We surveyed those who enrolled and a random sample of those who did not using the HBM as a framework to examine factors associated with enrollment. Analyses were performed using multivariable logistic regression models. RESULTS Of 64,131 employees, retirees, and dependents, 8131 were identified with prediabetes and 776 (9.5%) enrolled in the National DPP. Of those surveyed, 532 of 776 National DPP enrollees and 945 of 2673 non-enrollees responded to the survey (adjusted response rates 74% and 43%, respectively). Among survey respondents, factors associated with National DPP enrollment included older age, female sex, higher BMI, prediabetes awareness, greater perceived benefits of health-protective action, and one or more cues to action. CONCLUSIONS Optimizing National DPP enrollment among adults with prediabetes will require identifying individuals with prediabetes, increasing personal awareness of the diagnosis, increasing perceived benefits of enrollment, and providing strong cues to action.
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Affiliation(s)
- Kevin L Joiner
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA.
| | - Laura N McEwen
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Thomas E Hurst
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Mackenzie P Adams
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - William H Herman
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Fang M, Wang D, Echouffo-Tcheugui JB, Selvin E. Prediabetes and Diabetes Screening Eligibility and Detection in US Adults After Changes to US Preventive Services Task Force and American Diabetes Association Recommendations. JAMA 2022; 327:1924-1925. [PMID: 35579650 PMCID: PMC9115610 DOI: 10.1001/jama.2022.5185] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
This cross-sectional study using NHANES data assesses the proportion of asymptomatic US adults eligible for screening based on new vs current US Preventive Services Task Force and American Diabetes Association screening guidelines, overall and among those with prediabetes or undiagnosed diabetes.
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Affiliation(s)
- Michael Fang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Dan Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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50
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Turk MT, Tremblay B. Advocating for diabetes prevention in older adults. Nurs Manag (Harrow) 2022; 53:20-24. [PMID: 35383672 DOI: 10.1097/01.numa.0000824028.18935.89] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Melanie T Turk
- Melanie T. Turk is an associate professor at Duquesne University School of Nursing in Pittsburgh, Pa. Beth Tremblay is a lecturer at Old Dominion University School of Nursing in Virginia Beach, Va., and a patient care supervisor at Sentara Williamsburg Regional Medical Center in Williamsburg, Va
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