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Michaud TL, Wilson KE, Katula JA, You W, Estabrooks PA. Cost and cost-effectiveness analysis of a digital diabetes prevention program: results from the PREDICTS trial. Transl Behav Med 2023; 13:501-510. [PMID: 36809348 DOI: 10.1093/tbm/ibad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2023] Open
Abstract
Although technology-assisted diabetes prevention programs (DPPs) have been shown to improve glycemic control and weight loss, information are limited regarding relevant costs and their cost-effectiveness. To describe a retrospective within-trial cost and cost-effectiveness analysis (CEA) to compare a digital-based DPP (d-DPP) with small group education (SGE), over a 1-year study period. The costs were summarized into direct medical costs, direct nonmedical costs (i.e., times that participants spent engaging with the interventions), and indirect costs (i.e., lost work productivity costs). The CEA was measured by the incremental cost-effectiveness ratio (ICER). Sensitivity analysis was performed using nonparametric bootstrap analysis. Over 1 year, the direct medical costs, direct nonmedical costs, and indirect costs per participant were $4,556, $1,595, and $6,942 in the d-DPP group versus $4,177, $1,350, and $9,204 in the SGE group. The CEA results showed cost savings from d-DPP relative to SGE based on a societal perspective. Using a private payer perspective for d-DPP, ICERs were $4,739 and $114 to obtain an additional unit reduction in HbA1c (%) and weight (kg), and were $19,955 for an additional unit gain of quality-adjusted life years (QALYs) compared to SGE, respectively. From a societal perspective, bootstrapping results indicated that d-DPP has a 39% and a 69% probability, at a willingness-to-pay of $50,000/QALY and $100,000/QALY, respectively, of being cost-effective. The d-DPP was cost-effective and offers the prospect of high scalability and sustainability due to its program features and delivery modes, which can be easily translated to other settings.
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Affiliation(s)
- Tzeyu L Michaud
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA
- Center for Reducing Health Disparities, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA
| | - Kathryn E Wilson
- Department of Kinesiology and Health, College of Education & Human Development, Georgia State University, Atlanta, GA, USA
- Center for the Study of Stress, Trauma, and Resilience, College of Education and Human Development, Georgia State University, Atlanta, GA, USA
| | - Jeffrey A Katula
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Wen You
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul A Estabrooks
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA
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Preventable risk factors for type 2 diabetes can be detected using noninvasive spontaneous electroretinogram signals. PLoS One 2023; 18:e0278388. [PMID: 36634073 PMCID: PMC9836271 DOI: 10.1371/journal.pone.0278388] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 11/15/2022] [Indexed: 01/13/2023] Open
Abstract
Given the ever-increasing prevalence of type 2 diabetes and obesity, the pressure on global healthcare is expected to be colossal, especially in terms of blindness. Electroretinogram (ERG) has long been perceived as a first-use technique for diagnosing eye diseases, and some studies suggested its use for preventable risk factors of type 2 diabetes and thereby diabetic retinopathy (DR). Here, we show that in a non-evoked mode, ERG signals contain spontaneous oscillations that predict disease cases in rodent models of obesity and in people with overweight, obesity, and metabolic syndrome but not yet diabetes, using one single random forest-based model. Classification performance was both internally and externally validated, and correlation analysis showed that the spontaneous oscillations of the non-evoked ERG are altered before oscillatory potentials, which are the current gold-standard for early DR. Principal component and discriminant analysis suggested that the slow frequency (0.4-0.7 Hz) components are the main discriminators for our predictive model. In addition, we established that the optimal conditions to record these informative signals, are 5-minute duration recordings under daylight conditions, using any ERG sensors, including ones working with portative, non-mydriatic devices. Our study provides an early warning system with promising applications for prevention, monitoring and even the development of new therapies against type 2 diabetes.
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Fragala MS, Shaman JA, Lorenz RA, Goldberg SE. Role of Pharmacogenomics in Comprehensive Medication Management: Considerations for Employers. Popul Health Manag 2022; 25:753-762. [PMID: 36301527 DOI: 10.1089/pop.2022.0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Rising prescription costs, poor medication adherence, and safety issues pose persistent challenges to employer-sponsored health care plans and their beneficiaries. Comprehensive medication management (CMM), a patient-centered approach to medication optimization, enriched by pharmacogenomics (PGx), has been shown to improve the efficacy and safety of pharmaceutical regimens. This has contributed to improved health care outcomes, reduced costs of treatments, better adherence, shorter durations of treatment, and fewer adverse effects from drug therapy. Despite compelling clinical and economic evidence to justify the application of CMM guided by PGx, implementation in clinical settings remains sparse; notable barriers include limited physician adoption and health insurance coverage. Ultimately, these challenges may be overcome through comprehensive programs that include clinical decision support systems and education through employer-sponsored population health management channels to the benefit of the employees, employers, health care providers, and health care systems. This article discusses benefits, considerations, and barriers of scalable PGx-enriched CMM programs in the context of self-insured employers.
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Park J, Zhang P, Shao H, Laxy M, Imperatore G. Selecting a target population for type 2 diabetes lifestyle prevention programs: A cost-effectiveness perspective. Diabet Med 2022; 39:e14847. [PMID: 35434784 PMCID: PMC9578149 DOI: 10.1111/dme.14847] [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: 12/16/2021] [Accepted: 04/11/2022] [Indexed: 11/28/2022]
Abstract
AIMS Cost-effectiveness (CE) of lifestyle change programs (LCP) for type 2 diabetes (T2D) prevention is influenced by a participant's risk. We identified the risk threshold of developing T2D in the intervention population that was cost-effective for three formats of the LCP: delivered in-person individually or in groups, or delivered virtually. We compared the cost-effectiveness across program formats when there were more than one cost-effective formats. METHODS Using the CDC-RTI T2D CE Simulation model, we estimated CEs associated with 3 program formats in 8 population groups with an annual T2D incidence of 1% to 8%. We generated a nationally representative simulation population for each risk level using the 2011-2016 National Health and Nutrition Examination Survey data. We used an incremental cost-effectiveness ratio (ICER), cost per quality-adjusted life year (QALY) gained in 25-years, to measure the CEs of the programs. We took a health care system perspective. RESULTS To achieve an ICER of $50,000/QALY or lower, the annual T2D incidence of the program participant needed to be ≥5% for the in-person individual program, ≥4% for the digital individual program, and ≥3% for the in-person group program. For those with T2D risk of ≥4%, the in-person group program always dominated the digital individual program. The in-person individual program was cost-effective compared with the in-person group program only among persons with T2D risk of ≥8%. CONCLUSIONS Our findings could assist decision-makers in selecting the most appropriate target population for different formats of lifestyle intervention programs to prevent T2D.
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Affiliation(s)
- Joohyun Park
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Hui Shao
- College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Michael Laxy
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München GmbH, Neuherberg, Germany
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany
| | - Giuseppina Imperatore
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Zare H, Delgado P, Spencer M, Thorpe RJ, Thomas L, Gaskin DJ, Werrell LK, Carter EL. Using Community Health Workers to Address Barriers to Participation and Retention in Diabetes Prevention Program: A Concept Paper. J Prim Care Community Health 2022; 13:21501319221134563. [PMID: 36331112 PMCID: PMC9638527 DOI: 10.1177/21501319221134563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective: The PreventionLink of Southern Maryland is a 5-year project to eliminate
barriers to participation and retention in the National Diabetes Prevention
Program (DPP) lifestyle change program to prevent or delay the onset of type
2 diabetes in adults with prediabetes. This is the study to identify the
obstacles to participation and retention in the DPP lifestyle change program
among high burden populations and learn how CHWs have reduced the identified
barriers to participation and retention for high burden populations. Methods: We followed the Preferred Reporting Items for Systematic Reviews and
Meta-Analyses (PRISMA) to conduct this literature review. We have used the
Scopus and PubMed, including all types of studies and peer-reviewed
documents published in English between 2010 and 2020. Results: From 131 identified articles, 18 articles were selected for qualitative
synthesis. The reviewed literature documented following as main barriers to
participate in a DPP lifestyle change program: time, cost, lack of
transportation, cost of transportation, commute distance, technology access,
access to facilities and community programs, caregiver responsibilities,
lack of health literacy and awareness, and language. CHWs can address these
barriers to participation and retention, they were involved in educating and
supporting roles; they worked as bridges between healthcare providers and
participants and as intervention team members. Conclusions: Diabetes prevention program participants with social determinant risk factors
who most need CHW services are unlikely to have financial resources to pay
for CHW services out-of-pocket. Hence, the public and private health plans
that pay for their prediabetes care should consider paying for these CHW
services and there is a need to trust more to CHW and have them as a
“community health teams” member.
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Affiliation(s)
- Hossein Zare
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- University of Maryland Global Campus, Adelphi, MD, USA
| | - Paul Delgado
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- OSU College of Osteopathic Medicine, Tulsa, OK, USA
| | - Michelle Spencer
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Roland J. Thorpe
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Laurine Thomas
- Independent Health Services Research & Evaluation Consultant, Baltimore, MD, USA
| | | | - Lori K. Werrell
- MedStar Southern Maryland Hospital Center, Clinton, MD, USA
- Medstar St. Mary’s Hospital, Leonardtown, MD, USA
| | - Ernest L. Carter
- Prince George’s County Department of Health, Silver Spring, MD, USA
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Rahul A, Chintha S, Anish TS, Prajitha KC, Indu PS. Effectiveness of a Non-pharmacological Intervention to Control Diabetes Mellitus in a Primary Care Setting in Kerala: A Cluster-Randomized Controlled Trial. Front Public Health 2021; 9:747065. [PMID: 34869163 PMCID: PMC8636158 DOI: 10.3389/fpubh.2021.747065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 10/19/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Despite being the first Indian state with a dedicated Non-Communicable Disease (NCD) program, glycemic control among a large proportion of patients is low in Kerala. This study tries to find evidence for a standardized non-pharmacological strategy delivered through Junior Public Health Nurses (JPHNs) in achieving and maintaining glycemic control among diabetic patients registered with NCD clinics of primary health care settings. Design: A cluster randomized controlled trial was conducted among adult patients with Diabetes Mellitus attending NCD clinics of primary care settings of South Kerala, India. JPHNs of the intervention group received additional module-based training while standard management continued in the control group. Sequence generation was done by random permuted blocks method and a cluster of 12 patients was selected from each of the 11 settings by computer-generated random numbers. Patients were followed up for 6 months with monthly monitoring of Fasting Blood Sugar (FBS), Post-Prandial Blood Sugar (PPBS), blood pressure, Body Mass Index (BMI), and health-related behaviors. Knowledge and skills/practice of JPHNs were also evaluated. Analysis of Covariance was done to study the final outcome adjusting for the baseline values and a model for glycemic control was predicted using multilevel modeling. Results: We analyzed 72 participants in the intervention group and 60 participants in the control group according to the intention-to-treat principle. The intervention was associated with a significant reduction in FBS (p < 0.001) and PPBS (p < 0.001) adjusting for the baseline values. The achievement of glycemic control was 1.5 (95% CI: 1.05-2.3) times better with intervention and they showed a better trend of maintenance of glycemic control (FBS, p = 0.003 and PPBS, p = 0.039). Adjusting for clustering and the baseline values, the intervention showed a significant effect on FBS (B = -3.1, SE = 0.57; p < 0.001) and PPBS (B = -0.81, SE = 0.3; p < 0.001) with time. Drug adherence score (p < 0.001), hours of physical activity (p < 0.001), BMI (p = 0.002), fruit intake (p = 0.004), and green leafy vegetable intake (p = 0.01) were the major predictors of FBS control. The practice/skills score of the JPHNs significantly improved with intervention (p < 0.001) adjusting for baseline values. Conclusion: A well-designed health worker intervention package incorporated into the existing health system can translate into attitude change and skill development in the health workers which can reflect in the improvement of glycemic control among the patients. Trial registration: [URL: http://www.ctri.nic.in], identifier [CTRI/2017/11/010622].
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Affiliation(s)
- Arya Rahul
- Department of Community Medicine, Government Medical College, Thiruvananthapuram, India
| | - Sujatha Chintha
- Department of Community Medicine, Government Medical College, Thiruvananthapuram, India
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Schafer GL, Songer TJ, Arena VC, Kramer MK, Miller RG, Kriska AM. Participant food and activity costs in a translational Diabetes Prevention Program. Transl Behav Med 2021; 11:351-358. [PMID: 32298445 DOI: 10.1093/tbm/ibaa031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The Diabetes Prevention Program (DPP) and its translational adaptations have been shown to be effective. However, individual-level economic impacts, such as the out-of-pocket costs borne by participants due to involvement in these programs have not been consistently and thoroughly evaluated. As cost is an important consideration that will impact the willingness of individuals to participate in such programs, this study examined direct monetary costs to participants in the Group Lifestyle Balance (GLB) DPP. Older adults (n = 134, mean age 62.8 years) with body mass index (BMI) ≥24 kg/m2 and prediabetes and/or metabolic syndrome participated in this GLB intervention, with two-thirds randomized to begin the intervention immediately and one-third functioning as a control for 6 months before receiving the entire intervention. Food and activity time and costs borne by participants were measured by self-report at baseline and after 6 months. Significant improvements in clinical metabolic measures, weight, and physical activity levels were achieved after 6 months in the intervention group compared both with baseline and the controls. Food costs did not increase among intervention participants. Costs related to physical activity did not change consistently over the course of the intervention. This DPP-GLB lifestyle intervention was effective in reducing risk factors for Type 2 diabetes mellitus among a diverse group of older participants without significantly increasing their out-of-pocket costs for food or physical activity over the course of the intervention. These results should help reduce concerns of individuals who are hesitant to participate in similar programs due to costs. The clinical trial registration number of this study is NCT01050205.
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Affiliation(s)
| | - Thomas J Songer
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Vincent C Arena
- Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - M Kaye Kramer
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.,Spark360, Cincinnati, OH, USA
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Andrea M Kriska
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
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A decision-making model to optimize the impact of community-based health programs. Prev Med 2021; 149:106619. [PMID: 33992658 PMCID: PMC8207482 DOI: 10.1016/j.ypmed.2021.106619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 05/10/2021] [Accepted: 05/11/2021] [Indexed: 11/22/2022]
Abstract
Hospitals and clinics are increasingly interested in building partnerships with community-based organizations to address the social determinants of health. Choosing among community-based health programs can be complex given that programs may have different effectiveness levels and implementation costs. This study develops a decision-making model that can be used to evaluate multiple key factors that would be relevant in resource allocation decisions related to a set of community-based health programs. The decision-making model compares community-based health programs by considering funding limitations, program duration, and participant retention until program completion. Specifically, the model allows decision makers to select the optimal mix of community-based health programs based on the profiles of the population given the above constraints. The model can be used to improve resource allocation in communities, ultimately contributing to the long-term goal of strengthening cross-sector partnerships and the integration of services to improve health outcomes.
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9
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Ang IYH, Tan KXQ, Tan C, Tan CH, Kwek JWM, Tay J, Toh SA. A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre-Post Study. JMIR Diabetes 2021; 6:e25820. [PMID: 34111018 PMCID: PMC8274679 DOI: 10.2196/25820] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 04/14/2021] [Accepted: 06/06/2021] [Indexed: 02/06/2023] Open
Abstract
Background With increasing type 2 diabetes prevalence, there is a need for effective programs that support diabetes management and improve type 2 diabetes outcomes. Mobile health (mHealth) interventions have shown promising results. With advances in wearable sensors and improved integration, mHealth programs could become more accessible and personalized. Objective The study aimed to evaluate the feasibility, acceptability, and effectiveness of a personalized mHealth-anchored intervention program in improving glycemic control and enhancing care experience in diabetes management. The program was coincidentally implemented during the national-level lockdown for COVID-19 in Singapore, allowing for a timely study of the use of mHealth for chronic disease management. Methods Patients with type 2 diabetes or prediabetes were enrolled from the Singapore Armed Forces and offered a 3-month intervention program in addition to the usual care they received. The program was standardized to include (1) in-person initial consultation with a clinical dietitian; (2) in-person review with a diabetes specialist doctor; (3) 1 continuous glucose monitoring device; (4) access to the mobile app for dietary intake and physical activity tracking, and communication via messaging with the dietitian and doctor; and (5) context-sensitive digital health coaching over the mobile app. Medical support was rendered to the patients on an as-needed basis when they required advice on adjustment of medications. Measurements of weight, height, and glycated hemoglobin A1c (HbA1c) were conducted at 2 in-person visits at the start and end of the program. At the end of the program, patients were asked to complete a short acceptability feedback survey to understand the motivation for joining the program, their satisfaction, and suggestions for improvement. Results Over a 4-week recruitment period, 130 individuals were screened, the enrollment target of 30 patients was met, and 21 patients completed the program and were included in the final analyses; 9 patients were lost to follow-up (full data were not available for the final analyses). There were no differences in the baseline characteristics between patients who were included and excluded from the final analyses (age category: P=.23; gender: P=.21; ethnicity: P>.99; diabetes status category: P=.52, medication adjustment category: P=.65; HbA1c category: P=.69; BMI: P>.99). The 21 patients who completed the study rated a mean of 9.0 out of 10 on the Likert scale for both satisfaction questions. For the Yes-No question on benefit of the program, all of the patients selected “Yes.” Mean HbA1c decreased from 7.6% to 7.0% (P=.004). There were no severe hypoglycemia events (glucose level <3.0 mmol/L) reported. Mean weight decreased from 76.8 kg to 73.9 kg (P<.001), a mean decrease of 3.5% from baseline weight. Mean BMI decreased from 27.8 kg/m2 to 26.7 kg/m2 (P<.001). Conclusions The personalized mHealth program was feasible, acceptable, and produced significant reductions in HbA1c (P=.004) and body weight (P<.001) in individuals with type 2 diabetes. Such mHealth programs could overcome challenges posed to chronic disease management by COVID-19, including disruptions to in-person health care access.
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Affiliation(s)
- Ian Yi Han Ang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Kyle Xin Quan Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.,NOVI Health, Singapore, Singapore
| | - Clive Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.,Singapore Armed Forces, Singapore, Singapore
| | | | | | | | - Sue Anne Toh
- NOVI Health, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.,Regional Health System Office, National University Health System, Singapore, Singapore
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Comparison between volunteer- and expert-led versions of a community-based weight-loss intervention. Prev Med Rep 2021; 22:101370. [PMID: 33854907 PMCID: PMC8027563 DOI: 10.1016/j.pmedr.2021.101370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 02/11/2021] [Accepted: 03/21/2021] [Indexed: 11/24/2022] Open
Abstract
We compared the effects of volunteer- and expert-led weight-loss intervention. Participants were instructed to maintain a well-balanced, low-energy diet. The completion proportions was significantly higher in the expert-led group. The degree of body weight change was similar for both groups. Such programs could be an alternative strategy for low-cost obesity management.
This study compared the effect of volunteer- and expert-led versions of a community-based weight-loss intervention in a non-randomized comparative trial conducted in Ibaraki, Japan from 2016 to 2017. Participants were 145 Japanese adults with overweightness or obesity, aged 20–69 years, with 77 in a volunteer-led group and 68 in an expert-led group. Both groups received the same program content and intervention period. Community volunteers were trained in four or five 3-hour training sessions while experts were highly trained and experienced professionals in the fields of exercise and nutrition prescription. Participants were also instructed to maintain a well-balanced, low-energy diet. The primary outcome measure was body weight change. In the volunteer- and expert-led groups, 58 of 77 (75%) and 61 of 68 (95%) participants completed the 12-week intervention, respectively. The mean (95% confidence interval, CI) weight loss of the volunteer-led group was 6.4 (95% CI: 5.6–7.2) kg, corresponding to 8.9% of initial body weight, while that of the expert-led group was 6.3 (95% CI: 5.5–7.1) kg, corresponding to 8.2% of the initial body weight. The proportion of participants who completed the course was significantly higher in the expert-led group (P < 0.05); however, the degree of the body weight change was similar for both groups. With improvement in the completion proportion of the volunteer-led weight-loss interventions, such programs could be an alternative strategy for the wide-scale dissemination of low-cost obesity management.
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Key Words
- BMI, body mass index
- BOCF, baseline observation carried forward
- Body weight
- CHW, community health worker
- CI, confidence interval
- Community-based
- DPP, Diabetes Prevention Program
- FG, food group
- HDL-C, high-density lipoprotein cholesterol
- LDL-C, low-density lipoprotein cholesterol
- MVPA, moderate to vigorous physical activity
- Obesity
- TC, total cholesterol
- UMIN, University Hospital Medical Information Network
- Weight-loss program
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Effectiveness of Lifestyle Intervention for Type 2 Diabetes in Primary Care: the REAL HEALTH-Diabetes Randomized Clinical Trial. J Gen Intern Med 2020; 35:2637-2646. [PMID: 31965526 PMCID: PMC7458982 DOI: 10.1007/s11606-019-05629-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 12/20/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Intensive lifestyle interventions (LI) improve outcomes in obesity and type 2 diabetes but are not currently available in usual care. OBJECTIVE To compare the effectiveness and costs of two group LI programs, in-person LI and telephone conference call (telephone LI), to medical nutrition therapy (MNT) on weight loss in primary care patients with type 2 diabetes. DESIGN A randomized, assessor-blinded, practice-based clinical trial in three community health centers and one hospital-based practice affiliated with a single health system. PARTICIPANTS A total of 208 primary care patients with type 2 diabetes, HbA1c 6.5 to < 11.5, and BMI > 25 kg/m2 (> 23 kg/m2 in Asians). INTERVENTIONS Dietitian-delivered in-person or telephone group LI programs with medication management or MNT referral. MAIN MEASURES Primary outcome: mean percent weight change. SECONDARY OUTCOMES 5% and 10% weight loss, change in HbA1c, and cost per kilogram lost. KEY RESULTS Participants' mean age was 62 (SD 10) years, 45% were male, and 77% were White, with BMI 35 (SD 5) kg/m2 and HbA1c 7.7 (SD 1.2). Seventy were assigned to in-person LI, 72 to telephone LI, and 69 to MNT. The mean percent weight loss (95% CI) at 6 and 12 months was 5.6% (4.4-6.8%) and 4.6% (3.1-6.1%) for in-person LI, 4.6% (3.3-6.0%) and 4.8% (3.3-6.2%) for telephone LI, and 1.1% (0.2-2.0%) and 2.0% (0.9-3.0%) for MNT, with statistically significant differences between each LI arm and MNT (P < 0.001) but not between LI arms (P = 0.63). HbA1c improved in all participants. Compared with MNT, the incremental cost per kilogram lost was $789 for in-person LI and $1223 for telephone LI. CONCLUSIONS In-person LI or telephone group LI can achieve good weight loss outcomes in primary care type 2 diabetes patients at a reasonable cost. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02320253.
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Sweet CC, Jasik CB, Diebold A, DuPuis A, Jendretzke B. Cost Savings and Reduced Health Care Utilization Associated with Participation in a Digital Diabetes Prevention Program in an Adult Workforce Population. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2020; 7:139-147. [PMID: 32884964 PMCID: PMC7458495 DOI: 10.36469/jheor.2020.14529] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/13/2020] [Accepted: 07/27/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Though in-person delivery of the Diabetes Prevention Program (DPP) has demonstrated medical cost savings, the economic impact of digital programs is not as well understood. OBJECTIVE This study examines the impact of a digital DPP program on reducing all-cause health care costs and utilization among 2027 adult participants at 12 months. METHODS A longitudinal, observational analysis of health care claims data was conducted on a workforce population who participated in a digital diabetes prevention program. Differences in utilization and costs from the year prior to program delivery through 1 year after enrollment were calculated using medical claims data for digital DPP participants compared to a propensity matched cohort in a differences-in-differences model. RESULTS At 1 year, the digital DPP population had a reduction in all-cause health care spend of US$1169 per participant relative to the comparison group (P = 0.01), with US$699 of that savings coming from reduced inpatient spend (P = 0.001). Cost savings were driven by fewer hospital admissions and shorter length of stay (P < 0.001). No other significant results in cost differences were detected. There was a trend toward savings extending into the second year, but the savings did not reach statistical significance. CONCLUSIONS These results demonstrated significant short-term health care cost savings at 1 year associated with digital DPP program delivery.
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Islek D, Weber MB, Ranjit Mohan A, Mohan V, Staimez LR, Harish R, Narayan KMV, Laxy M, Ali MK. Cost-effectiveness of a Stepwise Approach vs Standard Care for Diabetes Prevention in India. JAMA Netw Open 2020; 3:e207539. [PMID: 32725244 DOI: 10.1001/jamanetworkopen.2020.7539] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE A stepwise approach that includes screening and lifestyle modification followed by the addition of metformin for individuals with high risk of diabetes is recommended to delay progression to diabetes; however, there is scant evidence regarding whether this approach is cost-effective. OBJECTIVE To estimate the cost-effectiveness of a stepwise approach in the Diabetes Community Lifestyle Improvement Program. DESIGN, SETTING, AND PARTICIPANTS This economic evaluation study included 578 adults with impaired glucose tolerance, impaired fasting glucose, or both. Participants were enrolled in the Diabetes Community Lifestyle Improvement Program, a randomized clinical trial with 3-year follow-up conducted at a diabetes care and research center in Chennai, India. INTERVENTIONS The intervention group underwent a 6-month lifestyle modification curriculum plus stepwise addition of metformin; the control group received standard lifestyle advice. MAIN OUTCOMES AND MEASURES Cost, health benefits, and incremental cost-effectiveness ratios (ICERs) were estimated from multipayer (including direct medical costs) and societal (including direct medical and nonmedical costs) perspectives. Costs and ICERs were reported in 2019 Indian rupees (INR) and purchasing power parity-adjusted international dollars (INT $). RESULTS The mean (SD) age of the 578 participants was 44.4 (9.3) years, and 364 (63.2%) were men. Mean (SD) body mass index was 27.9 (3.7), and the mean (SD) glycated hemoglobin level was 6.0% (0.5). Implementing lifestyle modification and metformin was associated with INR 10 549 (95% CI, INR 10 134-10 964) (INT $803 [95% CI, INT $771-834]) higher direct costs; INR 5194 (95% CI, INR 3187-INR 7201) (INT $395; 95% CI, INT $65-147) higher direct nonmedical costs, an absolute diabetes risk reduction of 10.2% (95% CI, 1.9% to 18.5%), and an incremental gain of 0.099 (95% CI, 0.018 to 0.179) quality-adjusted life-years per participant. From a multipayer perspective (including screening costs), mean ICERs were INR 1912 (INT $145) per 1 percentage point diabetes risk reduction, INR 191 090 (INT $14 539) per diabetes case prevented and/or delayed, and INR 196 960 (INT $14 986) per quality-adjusted life-year gained. In the scenario of a 50% increase or decrease in screening and intervention costs, the mean ICERs varied from INR 855 (INT $65) to INR 2968 (INT $226) per 1 percentage point diabetes risk reduction, from INR 85 495 (INT $6505) to INR 296 681 (INT $22 574) per diabetes case prevented, and from INR 88 121 (INT $6705) to INR 305 798 (INT $23 267) per quality-adjusted life-year gained. CONCLUSIONS AND RELEVANCE The findings of this study suggest that a stepwise approach for diabetes prevention is likely to be cost-effective, even if screening costs for identifying high-risk individuals are added.
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Affiliation(s)
- Duygu Islek
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Mary Beth Weber
- Emory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, Georgia
| | - Anjana Ranjit Mohan
- Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - Lisa R Staimez
- Emory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, Georgia
| | - Ranjani Harish
- Madras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, Georgia
| | - Michael Laxy
- Emory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, Georgia
- Institute for Health Economics and Health Care Management, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Mohammed K Ali
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Emory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, Georgia
- Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, Georgia
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Vitolins MZ, Blackwell CS, Katula JA, Isom SP, Case LD. Long-term Weight Loss Maintenance in the Continuation of a Randomized Diabetes Prevention Translational Study: The Healthy Living Partnerships to Prevent Diabetes (HELP PD) Continuation Trial. Diabetes Care 2019; 42:1653-1660. [PMID: 31296648 PMCID: PMC6702609 DOI: 10.2337/dc19-0295] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 06/21/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE HELP PD was a clinical trial of 301 adults with prediabetes. Participants were randomized to enhanced usual care (EUC) or to a lifestyle weight loss (LWL) intervention led by community health workers that consisted of a 6-month intensive phase (phase 1) and 18 months of maintenance (phase 2). At 24 months, participants were asked to enroll in phase 3 to assess whether continued group maintenance (GM) sessions would maintain improvements realized in phases 1 and 2 compared with self-directed maintenance (SM) or EUC. RESEARCH DESIGN AND METHODS In phase 3, LWL participants were randomly assigned to GM or SM. EUC participants remained in the EUC arm and, along with participants in SM, received monthly newsletters. All participants received semiannual dietitian sessions. Anthropometrics and biomarkers were assessed every 6 months. Mixed-effects models were used to assess changes in outcomes over time. RESULTS Eighty-two of the 151 intervention participants (54%) agreed to participate in phase 3; 41 were randomized to GM and 41 to SM. Of the 150 EUC participants, 107 (71%) continued. Ninety percent of clinic visits were completed. Over 48 months of additional follow-up, outcomes remained relatively stable in the EUC participants; the GM group was able to maintain body weight, BMI, and waist circumference; and these measures all increased significantly (P < 0.001) in the SM group. CONCLUSIONS Participants in the GM arm maintained weight loss achieved in phases 1 and 2, while those in the SM arm regained weight. Because group session attendance by the participants in the GM arm was low, it is unclear what intervention components led to successful weight maintenance.
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Affiliation(s)
- Mara Z Vitolins
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Caroline S Blackwell
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jeffrey A Katula
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC
| | - Scott P Isom
- Department of Biostatistics and Data Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - L Douglas Case
- Department of Biostatistics and Data Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
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Khademi A, Shi L, Nasrollahzadeh AA, Narayanan H, Chen L. Comparing the Lifestyle Interventions for Prediabetes: An Integrated Microsimulation and Population Simulation Model. Sci Rep 2019; 9:11927. [PMID: 31417128 PMCID: PMC6695408 DOI: 10.1038/s41598-019-48312-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 07/30/2019] [Indexed: 01/09/2023] Open
Abstract
We developed a model to compare the impacts of different lifestyle interventions among prediabetes individuals and to identify the optimal age groups for such interventions. A stochastic simulation was developed to replicate the prediabetes and diabetes trends (1997-2010) in the U.S. adult population. We then simulated the population-wide impacts of three lifestyle diabetes prevention programs, i.e., the Diabetes Prevention Program (DPP), DPP-YMCA, and the Healthy Living Partnerships to Prevent Diabetes (HELP-PD), over a course of 10, 15 and 30 years. Our model replicated the temporal trends of diabetes in the U.S. adult population. Compared to no intervention, the diabetes incidence declined 0.3 per 1,000 by DPP, 0.2 by DPP-YMCA, and 0.4 by HELP-PD over the 15-year period. Our simulations identified HELP-PD as the most cost-effective intervention, which achieved the highest 10-year savings of $38 billion for those aged 25-65, assuming all eligible individuals participate in the intervention and considering intervention achievement rates. Our model simulates the diabetes trends in the U.S. population based on individual-level longitudinal data. However, it may be used to identify the optimal intervention for different subgroups in defined populations.
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Affiliation(s)
- Amin Khademi
- Department of Industrial Engineering, Clemson University, Clemson, 29634, USA.
| | - Lu Shi
- Department of Public Health Sciences, Clemson University, Clemson, 29634, USA
| | | | | | - Liwei Chen
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, 90095, USA
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16
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Risica PM, Tovar A, Palomo V, Dionne L, Mena N, Magid K, Ward DS, Gans KM. Improving nutrition and physical activity environments of family child care homes: the rationale, design and study protocol of the 'Healthy Start/Comienzos Sanos' cluster randomized trial. BMC Public Health 2019; 19:419. [PMID: 30999881 PMCID: PMC6472069 DOI: 10.1186/s12889-019-6704-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 03/26/2019] [Indexed: 11/10/2022] Open
Abstract
Background Early childhood is a crucial time to foster healthy eating and physical activity (PA) habits, which are critical for optimal child health, growth and development. Child care facilities are important settings to promote healthy eating and PA and prevent childhood obesity; however, almost all prior intervention studies have focused on child care centers and not family child care homes (FCCH), which care for over 1.6 million U.S. children. Methods This paper describes Healthy Start/Comienzos Sanos, a cluster-randomized trial evaluating the efficacy of a multicomponent intervention to improve nutrition and PA environments in English and Spanish-speaking FCCH. Eligible child care providers complete baseline surveys and receive a two-day FCCH observation of the home environment and provider practices. Parent-consented 2–5 year-old children are measured (height, weight, waist circumference), wear accelerometers and have their dietary intake observed during child care using validated protocols. FCCH providers are then randomly assigned to receive an 8-month intervention including written materials tailored to the FCCH providers’ need and interest, videos, peer support coaching using brief motivational interviewing, and periodic group meetings focused on either nutrition and PA (Intervention) or reading readiness (Comparison). Intervention materials focus on evidence-based nutrition and physical activity best practices. The initial measures (surveys, two-day observation of the FCCH and provider practices, child diet observation, physical measures, and accelerometer) are assessed again 8 and 12 months after the intervention starts. Primary outcomes are children’s diet quality (Healthy Eating Index), time in moderate and vigorous PA and sedentary PA during child care. Secondary outcomes include FCCH provider practices and foods served, and PA environments and practices. Possible mediators (provider attitudes, self-efficacy, barriers and facilitators) are also being explored. Process evaluation measures to assess reach, fidelity and dose, and their relationship with dietary and PA outcomes are included. Discussion Healthy Start/Comienzos Sanos fills an important gap in the field of childhood obesity prevention by rigorously evaluating an innovative multicomponent intervention to improve the nutrition and physical activity environments of FCCH. Trial registration (# NCT02452645) ClinicalTrials.gov Trial registered on May 22, 2015. Electronic supplementary material The online version of this article (10.1186/s12889-019-6704-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Patricia Markham Risica
- Center for Health Equity Research, Brown University School of Public Health, Providence, RI, 02912, USA. .,Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, 02912, USA.
| | - Alison Tovar
- Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, 02881, USA
| | - Vanessa Palomo
- Center for Health Equity Research, Brown University School of Public Health, Providence, RI, 02912, USA
| | - Laura Dionne
- Center for Health Equity Research, Brown University School of Public Health, Providence, RI, 02912, USA
| | - Noereem Mena
- Department of Nutrition and Food Sciences, University of Rhode Island, Kingston, RI, 02881, USA
| | - Kate Magid
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, 02912, USA
| | - Diane Stanton Ward
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599-7461, USA
| | - Kim M Gans
- Center for Health Equity Research, Brown University School of Public Health, Providence, RI, 02912, USA.,Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, 02912, USA.,Department of Human Development and Family Studies, University of Connecticut, Storrs, CT, 06269, USA.,Institute for Collaboration in Health, Interventions and Policy, University of Connecticut, Storrs, CT, 06269, USA
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17
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Jacob V, Chattopadhyay SK, Hopkins DP, Reynolds JA, Xiong KZ, Jones CD, Rodriguez BJ, Proia KK, Pronk NP, Clymer JM, Goetzel RZ. Economics of Community Health Workers for Chronic Disease: Findings From Community Guide Systematic Reviews. Am J Prev Med 2019; 56:e95-e106. [PMID: 30777167 PMCID: PMC6501565 DOI: 10.1016/j.amepre.2018.10.009] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 10/16/2018] [Accepted: 10/17/2018] [Indexed: 01/14/2023]
Abstract
CONTEXT Cardiovascular disease in the U.S. accounted for healthcare cost and productivity losses of $330 billion in 2013-2014 and diabetes accounted for $327 billion in 2017. The impact is disproportionate on minority and low-SES populations. This paper examines the available evidence on cost, economic benefit, and cost effectiveness of interventions that engage community health workers to prevent cardiovascular disease, prevent type 2 diabetes, and manage type 2 diabetes. EVIDENCE ACQUISITION Literature from the inception of databases through July 2016 was searched for studies with economic information, yielding nine studies in cardiovascular disease prevention, seven studies in type 2 diabetes prevention, and 13 studies in type 2 diabetes management. Analyses were done in 2017. Monetary values are reported in 2016 U.S. dollars. EVIDENCE SYNTHESIS The median intervention cost per patient per year was $329 for cardiovascular disease prevention, $600 for type 2 diabetes prevention, and $571 for type 2 diabetes management. The median change in healthcare cost per patient per year was -$82 for cardiovascular disease prevention and -$72 for type 2 diabetes management. For type 2 diabetes prevention, one study saw no change and another reported -$1,242 for healthcare cost. One study reported a favorable 1.8 return on investment from engaging community health workers for cardiovascular disease prevention. Median cost per quality-adjusted life year gained was $17,670 for cardiovascular disease prevention, $17,138 (mean) for type 2 diabetes prevention, and $35,837 for type 2 diabetes management. CONCLUSIONS Interventions engaging community health workers are cost effective for cardiovascular disease prevention and type 2 diabetes management, based on a conservative $50,000 benchmark for cost per quality-adjusted life year gained. Two cost per quality-adjusted life year estimates for type 2 diabetes prevention were far below the $50,000 benchmark.
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Affiliation(s)
- Verughese Jacob
- Community Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia.
| | - Sajal K Chattopadhyay
- Community Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - David P Hopkins
- Community Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Jeffrey A Reynolds
- Community Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Ka Zang Xiong
- Community Guide Branch, Division of Public Health Information Dissemination, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Christopher D Jones
- Division for Heart Disease and Stroke Prevention, Office of Noncommunicable Diseases, Injury, and Environmental Health, CDC, Atlanta, Georgia
| | - Betsy J Rodriguez
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia
| | - Krista K Proia
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia
| | - Nicolaas P Pronk
- HealthPartners Institute, Minneapolis, Minnesota; Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - John M Clymer
- National Forum for Heart Disease and Stroke Prevention, Washington, District of Columbia
| | - Ron Z Goetzel
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; IBM Watson Health, Bethesda, Maryland
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18
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Coventry P, Bower P, Blakemore A, Baker E, Hann M, Li J, Paisley A, Gibson M. Satisfaction with a digitally-enabled telephone health coaching intervention for people with non-diabetic hyperglycaemia. NPJ Digit Med 2019; 2:5. [PMID: 31304355 PMCID: PMC6550206 DOI: 10.1038/s41746-019-0080-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 11/21/2018] [Indexed: 01/26/2023] Open
Abstract
International evidence shows that lifestyle interventions can effectively reduce the risk of developing diabetes in people with non-diabetic hyperglycaemia (NDH). A candidate intervention that has potential to be rolled out at population level is health coaching. Digital interventions offer the means to potentially enhance user satisfaction with health coaching and improve efficiencies. We used a randomised controlled trial to test whether a digitally-enabled health coaching intervention that included an online dashboard and telephone health coaching improved user satisfaction and cost-efficiencies compared with a telephone only health coaching intervention. The primary outcome was satisfaction measured by Client Satisfaction Questionnaire (CSQ-8). 103 participants with NDH were allocated to the telephone coaching only intervention and 106 participants with NDH were allocated to the digital and telephone coaching intervention. In an intention-to-treat analysis satisfaction was higher in participants allocated to the digital and telephone coaching intervention than those allocated to the telephone only intervention, but the difference was not significant. There were no significant differences between the groups on secondary outcomes (HbA1c, BMI, activation, depression, self-management, health status). From a service commissioning perspective the mean incremental cost of the digitally-enabled intervention was £236 ($332; €270). Call times, including administration, were longer for participants allocated to the digitally-enabled intervention. The results show that user satisfaction with digitally-enabled intervention is broadly equivalent with that of telephone delivered interventions in the context of routinely delivered diabetes prevention programmes. There is scope for future work that assesses how economies of scale can be achieved at larger user bases.
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Affiliation(s)
- Peter Coventry
- Department of Health Sciences and Centre for Reviews and Dissemination, University of York, York, UK
| | - Peter Bower
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Amy Blakemore
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Elizabeth Baker
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester, UK
| | - Mark Hann
- NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Jinshuo Li
- Department of Health Sciences, University of York, York, UK
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Rhodes EC, Chandrasekar EK, Patel SA, Narayan KMV, Joshua TV, Williams LB, Marion L, Ali MK. Cost-effectiveness of a faith-based lifestyle intervention for diabetes prevention among African Americans: A within-trial analysis. Diabetes Res Clin Pract 2018; 146:85-92. [PMID: 30273708 PMCID: PMC6295256 DOI: 10.1016/j.diabres.2018.09.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 09/13/2018] [Accepted: 09/25/2018] [Indexed: 12/18/2022]
Abstract
AIMS We assessed costs and cost-effectiveness of implementing Fit Body and Soul (FBAS), a church-based 18-session lifestyle education intervention for African Americans. METHODS We calculated incremental cost-effectiveness ratios (ICER) using data from a cluster randomized controlled trial comparing FBAS with health education (HE) among 604 overweight participants in 20 churches. The ICER was the adjusted difference in costs to deliver FBAS versus HE over the difference in weight change (kilograms [kg]) at one-year follow-up. Costs included those incurred for participant identification and program implementation. We fitted linear mixed-effects regression models, accounting for clustering of participants within churches and for age, sex, and educational attainment. We repeated these analyses for secondary outcomes (waist circumference [cm], physical activity [MET], glucose, blood pressure, and quality of life). RESULTS Per-person intervention cost of FBAS was $50.39 more than HE ($442.22 vs. $391.83 per-person), and adjusted differences in weight change (1.9 kg [95% CI: 1.0 to 2.8]) and waist circumference (2.4 cm [95% CI: 1.3 to 3.4]) were both significant. FBAS did not result in statistically significant differences in physical activity, glucose, blood pressures, or quality of life. We estimated that compared to HE, FBAS costs an additional $26.52 per kg weight lost and $21.00 per cm reduction in waist circumference. CONCLUSIONS For a modest increase in cost, FBAS led to greater weight and waist reductions among African Americans in a church setting. ClinicalTrials.gov Identifier NCT01730196.
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Affiliation(s)
- Elizabeth C Rhodes
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, 1518 Clifton Rd NE, Atlanta, GA 30322, United States.
| | - Eeshwar K Chandrasekar
- Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, United States.
| | - Shivani A Patel
- Hubert Department of Global Health and Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.
| | - K M Venkat Narayan
- Hubert Department of Global Health and Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.
| | - Thomas V Joshua
- College of Nursing, Augusta University, 987 St. Sebastian Way, Augusta, GA 30912, United States.
| | - Lovoria B Williams
- College of Nursing, Augusta University, 987 St. Sebastian Way, Augusta, GA 30912, United States.
| | - Lucy Marion
- College of Nursing, Augusta University, 987 St. Sebastian Way, Augusta, GA 30912, United States.
| | - Mohammed K Ali
- Hubert Department of Global Health and Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322, United States.
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Finley EP, Huynh AK, Farmer MM, Bean-Mayberry B, Moin T, Oishi SM, Moreau JL, Dyer KE, Lanham HJ, Leykum L, Hamilton AB. Periodic reflections: a method of guided discussions for documenting implementation phenomena. BMC Med Res Methodol 2018; 18:153. [PMID: 30482159 PMCID: PMC6258449 DOI: 10.1186/s12874-018-0610-y] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 11/02/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Ethnography has been proposed as a valuable method for understanding how implementation occurs within dynamic healthcare contexts, yet this method can be time-intensive and challenging to operationalize in pragmatic implementation. The current study describes an ethnographically-informed method of guided discussions developed for use by a multi-project national implementation program. METHODS The EMPOWER QUERI is conducting three projects to implement innovative care models in VA women's health for high-priority health concerns - prediabetes, cardiovascular risk, and mental health - utilizing the Replicating Effective Programs (REP) implementation strategy enhanced with stakeholder engagement and complexity science. Drawing on tenets of ethnographic research, we developed a lightly-structured method of guided "periodic reflections" to aid in documenting implementation phenomena over time. Reflections are completed as 30-60 min telephone discussions with implementation team members at monthly or bi-monthly intervals, led by a member of the implementation core. Discussion notes are coded to reflect key domains of interest and emergent themes, and can be analyzed singly or in triangulation with other qualitative and quantitative assessments to inform evaluation and implementation activities. RESULTS Thirty structured reflections were completed across the three projects during a 15-month period spanning pre-implementation, implementation, and sustainment activities. Reflections provide detailed, near-real-time information on projects' dynamic implementation context, including characteristics of implementation settings and changes in the local or national environment, adaptations to the intervention and implementation plan, and implementation team sensemaking and learning. Reflections also provide an opportunity for implementation teams to engage in recurring reflection and problem-solving. CONCLUSIONS To implement new, complex interventions into dynamic organizations, we must better understand the implementation process as it unfolds in real time. Ethnography is well suited to this task, but few approaches exist to aid in integrating ethnographic insights into implementation research. Periodic reflections show potential as a straightforward and low-burden method for documenting events across the life cycle of an implementation effort. They offer an effective means for capturing information on context, unfolding process and sensemaking, unexpected events, and diverse viewpoints, illustrating their value for use as part of an ethnographically-minded implementation approach. TRIAL REGISTRATION The two implementation research studies described in this article have been registered as required: Facilitating Cardiovascular Risk Screening and Risk Reduction in Women Veterans (NCT02991534); and Implementation of Tailored Collaborative Care for Women Veterans (NCT02950961).
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Affiliation(s)
- Erin P. Finley
- South Texas Veterans Health Care System, San Antonio, Texas USA
- UT Health San Antonio, San Antonio, Texas USA
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
| | - Alexis K. Huynh
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
| | - Melissa M. Farmer
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
| | - Bevanne Bean-Mayberry
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
- David Geffen School of Medicine at University of California, Los Angeles, California USA
| | - Tannaz Moin
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
- David Geffen School of Medicine at University of California, Los Angeles, California USA
| | - Sabine M. Oishi
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
| | - Jessica L. Moreau
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
| | - Karen E. Dyer
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
| | - Holly Jordan Lanham
- South Texas Veterans Health Care System, San Antonio, Texas USA
- UT Health San Antonio, San Antonio, Texas USA
| | - Luci Leykum
- South Texas Veterans Health Care System, San Antonio, Texas USA
- UT Health San Antonio, San Antonio, Texas USA
| | - Alison B. Hamilton
- Veterans Affairs Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, California USA
- Veterans Affairs Greater Los Angeles Health System, Los Angeles, California USA
- David Geffen School of Medicine at University of California, Los Angeles, California USA
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21
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Risica PM, McCarthy M, Barry K, Oliverio SP, De Groot AS. Community clinic-based lifestyle change for prevention of metabolic syndrome: Rationale, design and methods of the 'Vida Sana/healthy life' program. Contemp Clin Trials Commun 2018; 12:123-128. [PMID: 30417157 PMCID: PMC6218840 DOI: 10.1016/j.conctc.2018.10.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 10/09/2018] [Accepted: 10/17/2018] [Indexed: 12/19/2022] Open
Abstract
Purpose and Objectives: The risk of diseases associated with Metabolic Syndrome (MetS) is higher for Hispanics living in the northeastern United States than for other racial and ethnic groups. Higher risk of diabetes, high blood lipids, obesity and limited access to continuity of care are all factors that also contribute to disproportionately poorer chronic disease outcomes for Hispanics. Intervention approach This article describes the planning and implementation of, and evaluation plans for the Vida Sana Program (VSP), a community-based group intervention created to address the identified MetS risks by encouraging healthier diet and physical activity behaviors among a low-income, largely Spanish speaking, and literacy limited uninsured population. Developed in response to recent calls for culturally-tailored interventions, VSP is conducted by trained bicultural/bilingual Navegantes, who deliver a culturally sensitive, fun and engaging eight-week, in-person educational series through group meetings. The intervention also includes a 40-page colorful, picture and graphic enhanced booklet to be used in the group setting and at home. The intervention focused on screening for MetS-associated disease risk factors, understanding chronic disease management, encouraging medication adherence, increasing physical activity, and healthful dietary changes such as limiting alcohol, sodium, unhealthy fats and excess carbohydrate intake, while emphasizing portion control, whole grains and healthy fats. Conclusions This creative, community-based approach fills an important gap in the community and in the public health literature, is well liked by health literacy limited patients, and will provide an important model of successfully engaging the Hispanic community on these important health issues.
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Affiliation(s)
- Patricia Markham Risica
- Center for Health Equity Research, Brown University School of Public Health, Box G-S121, Providence, RI, 02912, USA.,Department of Behavioral and Social Sciences, Brown University School of Public Health, Box G-S121, Providence, RI, 02912, USA.,Department of Epidemiology Brown School of Public Health, Providence, RI, 02912, USA
| | | | | | - Susan P Oliverio
- Department of Internal Medicine, Warren Alpert School of Medicine, Brown University, Providence, RI, 02903, USA
| | - Anne S De Groot
- Institute for Immunology and Informatics, University of Rhode Island, 02903, USA.,Clínica Esperanza/Hope Clinic, Providence, RI, 02909, USA
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Delahanty LM, Chang Y, Levy DE, Porneala B, Dushkin A, Bissett L, Goldman V, Perrotta J, Rodriguez AR, Chase B, LaRocca R, Wheeler A, Wexler DJ. Design and participant characteristics of a primary care adaptation of the Look AHEAD Lifestyle Intervention for weight loss in type 2 diabetes: The REAL HEALTH-diabetes study. Contemp Clin Trials 2018; 71:9-17. [PMID: 29803816 DOI: 10.1016/j.cct.2018.05.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 05/21/2018] [Accepted: 05/22/2018] [Indexed: 01/29/2023]
Abstract
BACKGROUND/AIMS The REAL HEALTH -Diabetes Study is a practice-based clinical trial that adapted the Look AHEAD lifestyle intervention for implementation in primary care settings. The trial will compare the effectiveness and cost-effectiveness of in-person group lifestyle intervention, telephone group lifestyle intervention, and individual medical nutrition therapy (MNT), the current recommended standard of care in type 2 diabetes. The primary outcome is percent weight loss at 6 months with outcomes also measured at 12, 18, 24 (intervention completion), and 36 months. Here, we describe the adaptation, trial design, implementation strategies, and baseline characteristics of enrolled participants. METHODS The study is a three-arm, patient-level, randomized trial conducted in three community health centers (CHCs) and one diabetes practice affiliated with one academic medical center. RESULTS The study used existing clinical infrastructure to recruit participants from study sites. Strategies for successful conduct of the trial included partnering with health-center based co-investigator clinicians, engaging primary care providers, and accommodating clinical workflows. Of 248 eligible patients who attended a screening visit, 211 enrolled, with 70 randomly assigned to in-person group lifestyle intervention, 72 to telephone group lifestyle intervention, and 69 to MNT. The cohort was 55% female, 29% non-white, with mean age 62 years and mean BMI 35 kg/m2. Enrollment rates were higher at CHC sites. CONCLUSIONS A practice-based randomized trial of a complex behavioral lifestyle intervention for type 2 diabetes can be implemented in community health and usual clinical settings. Participant and provider engagement was higher at local CHC sites reflecting the study implementation focus. CLINICAL TRIAL REGISTRATION NCT02320253.
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Affiliation(s)
- Linda M Delahanty
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
| | - Yuchiao Chang
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Douglas E Levy
- Harvard Medical School, Boston, MA, United States; Mongan Institute Health Policy Center, MGH, Boston, MA, United States
| | - Bianca Porneala
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Amy Dushkin
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States
| | - Laurie Bissett
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States
| | - Valerie Goldman
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States
| | - Jeanna Perrotta
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States
| | - Anthony Romeo Rodriguez
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States
| | - Barbara Chase
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States; MGH Chelsea Health Center, Boston, MA, United States
| | - Rajani LaRocca
- Harvard Medical School, Boston, MA, United States; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States; MGH Charlestown Health Center, Boston, MA, United States
| | - Amy Wheeler
- Harvard Medical School, Boston, MA, United States; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States; MGH Revere Health Center, Boston, MA, United States
| | - Deborah J Wexler
- Massachusetts General Hospital (MGH) Diabetes Research Center, Diabetes Unit, Department of Medicine, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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Pedley CF, Case LD, Blackwell CS, Katula JA, Vitolins MZ. The 24-month metabolic benefits of the healthy living partnerships to prevent diabetes: A community-based translational study. Diabetes Metab Syndr 2018; 12:215-220. [PMID: 28964720 PMCID: PMC5866171 DOI: 10.1016/j.dsx.2017.09.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 09/22/2017] [Indexed: 12/30/2022]
Abstract
AIMS Large-scale clinical trials and translational studies have demonstrated that weight loss achieved through diet and physical activity reduced the development of diabetes in overweight individuals with prediabetes. These interventions also reduced the occurrence of metabolic syndrome and risk factors linked to other chronic conditions including obesity-driven cancers and cardiovascular disease. The Healthy Living Partnerships to Prevent Diabetes (HELP PD) was a clinical trial in which participants were randomized to receive a community-based lifestyle intervention translated from the Diabetes Prevention Program (DPP) or an enhanced usual care condition. The objective of this study is to compare the 12 and 24 month prevalence of metabolic syndrome in the two treatment arms of HELP PD. MATERIALS AND METHODS The intervention involved a group-based, behavioral weight-loss program led by community health workers monitored by personnel from a local diabetes education program. The enhanced usual care condition included dietary counseling and written materials. RESULTS HELP PD included 301 overweight or obese participants (BMI 25-39.9kg/m2) with elevated fasting glucose levels (95-125mg/dl). At 12 and 24 months of follow-up there were significant improvements in individual components of the metabolic syndrome: fasting blood glucose, waist circumference, HDL, triglycerides and blood pressure and the occurrence of the metabolic syndrome in the intervention group compared to the usual care group. CONCLUSIONS This study demonstrates that a community diabetes prevention program in participants with prediabetes results in metabolic benefits and a reduction in the occurrence of the metabolic syndrome in the intervention group compared to the enhanced usual care group.
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Affiliation(s)
- Carolyn F Pedley
- Wake Forest Baptist Medical Center, Department of Internal Medicine, Winston-Salem, NC, USA.
| | - L Douglas Case
- Wake Forest School of Medicine, Division of Public Health Sciences, Winston-Salem, NC, USA.
| | - Caroline S Blackwell
- Wake Forest School of Medicine, Division of Public Health Sciences, Winston-Salem, NC, USA.
| | - Jeffrey A Katula
- Wake Forest University, Department of Health & Exercise Science, Winston-Salem, NC, USA.
| | - Mara Z Vitolins
- Wake Forest School of Medicine, Division of Public Health Sciences, Winston-Salem, NC, USA.
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24
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Hill J, Peer N, Oldenburg B, Kengne AP. Roles, responsibilities and characteristics of lay community health workers involved in diabetes prevention programmes: A systematic review. PLoS One 2017; 12:e0189069. [PMID: 29216263 PMCID: PMC5720739 DOI: 10.1371/journal.pone.0189069] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 11/17/2017] [Indexed: 01/16/2023] Open
Abstract
AIM To examine the characteristics of community health workers (CHWs) involved in diabetes prevention programmes (DPPs) and their contributions to expected outcomes. METHODS Electronic databases including PubMed-MEDLINE, EBSCOHost, and SCOPUS/EMBASE were searched for studies published between January 2000 and March 2016. All studies that used CHWs to implement DPP in ≥18-year-old participants without diabetes but at high risk for developing the condition, irrespective of the study design, setting or outcomes measured, were included. Results were synthesized narratively. RESULTS Forty papers of 30 studies were identified. Studies were mainly community-based and conducted in minority populations in USA. Sample sizes ranged from 20 participants in a single community to 2369 participants in 46 communities. Although CHWs were generally from the local community, their qualifications, work experience and training received differed across studies. Overall the training was culturally sensitive and/or appropriate, covering topics such as the importance of good nutrition and the benefits of increased physical activity, communication and leadership. CHWs delivered a variety of interventions and also screened or recruited participants. The shared culture and language between CHWs and participants likely contributed to better programme implementation and successful outcomes. CONCLUSIONS The complexity of DPPs and the diverse CHW roles preclude attributing specific outcomes to CHW involvement. Nevertheless, documenting potential CHW roles and the relevant training required may optimise CHW contributions and facilitate their involvement in DPPs in the future.
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Affiliation(s)
- Jillian Hill
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- * E-mail:
| | - Nasheeta Peer
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Brian Oldenburg
- Melbourne School of Public Health and Global Health, University of Melbourne, Melbourne, Australia
| | - Andre Pascale Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Medicine, University of Cape Town, Cape Town, South Africa
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Hemmingsen B, Gimenez‐Perez G, Mauricio D, Roqué i Figuls M, Metzendorf M, Richter B. Diet, physical activity or both for prevention or delay of type 2 diabetes mellitus and its associated complications in people at increased risk of developing type 2 diabetes mellitus. Cochrane Database Syst Rev 2017; 12:CD003054. [PMID: 29205264 PMCID: PMC6486271 DOI: 10.1002/14651858.cd003054.pub4] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND The projected rise in the incidence of type 2 diabetes mellitus (T2DM) could develop into a substantial health problem worldwide. Whether diet, physical activity or both can prevent or delay T2DM and its associated complications in at-risk people is unknown. OBJECTIVES To assess the effects of diet, physical activity or both on the prevention or delay of T2DM and its associated complications in people at increased risk of developing T2DM. SEARCH METHODS This is an update of the Cochrane Review published in 2008. We searched the CENTRAL, MEDLINE, Embase, ClinicalTrials.gov, ICTRP Search Portal and reference lists of systematic reviews, articles and health technology assessment reports. The date of the last search of all databases was January 2017. We continuously used a MEDLINE email alert service to identify newly published studies using the same search strategy as described for MEDLINE up to September 2017. SELECTION CRITERIA We included randomised controlled trials (RCTs) with a duration of two years or more. DATA COLLECTION AND ANALYSIS We used standard Cochrane methodology for data collection and analysis. We assessed the overall quality of the evidence using GRADE. MAIN RESULTS We included 12 RCTs randomising 5238 people. One trial contributed 41% of all participants. The duration of the interventions varied from two to six years. We judged none of the included trials at low risk of bias for all 'Risk of bias' domains.Eleven trials compared diet plus physical activity with standard or no treatment. Nine RCTs included participants with impaired glucose tolerance (IGT), one RCT included participants with IGT, impaired fasting blood glucose (IFG) or both, and one RCT included people with fasting glucose levels between 5.3 to 6.9 mmol/L. A total of 12 deaths occurred in 2049 participants in the diet plus physical activity groups compared with 10 in 2050 participants in the comparator groups (RR 1.12, 95% CI 0.50 to 2.50; 95% prediction interval 0.44 to 2.88; 4099 participants, 10 trials; very low-quality evidence). The definition of T2DM incidence varied among the included trials. Altogether 315 of 2122 diet plus physical activity participants (14.8%) developed T2DM compared with 614 of 2389 comparator participants (25.7%) (RR 0.57, 95% CI 0.50 to 0.64; 95% prediction interval 0.50 to 0.65; 4511 participants, 11 trials; moderate-quality evidence). Two trials reported serious adverse events. In one trial no adverse events occurred. In the other trial one of 51 diet plus physical activity participants compared with none of 51 comparator participants experienced a serious adverse event (low-quality evidence). Cardiovascular mortality was rarely reported (four of 1626 diet plus physical activity participants and four of 1637 comparator participants (the RR ranged between 0.94 and 3.16; 3263 participants, 7 trials; very low-quality evidence). Only one trial reported that no non-fatal myocardial infarction or non-fatal stroke had occurred (low-quality evidence). Two trials reported that none of the participants had experienced hypoglycaemia. One trial investigated health-related quality of life in 2144 participants and noted that a minimal important difference between intervention groups was not reached (very low-quality evidence). Three trials evaluated costs of the interventions in 2755 participants. The largest trial of these reported an analysis of costs from the health system perspective and society perspective reflecting USD 31,500 and USD 51,600 per quality-adjusted life year (QALY) with diet plus physical activity, respectively (low-quality evidence). There were no data on blindness or end-stage renal disease.One trial compared a diet-only intervention with a physical-activity intervention or standard treatment. The participants had IGT. Three of 130 participants in the diet group compared with none of the 141 participants in the physical activity group died (very low-quality evidence). None of the participants died because of cardiovascular disease (very low-quality evidence). Altogether 57 of 130 diet participants (43.8%) compared with 58 of 141 physical activity participants (41.1%) group developed T2DM (very low-quality evidence). No adverse events were recorded (very low-quality evidence). There were no data on non-fatal myocardial infarction, non-fatal stroke, blindness, end-stage renal disease, health-related quality of life or socioeconomic effects.Two trials compared physical activity with standard treatment in 397 participants. One trial included participants with IGT, the other trial included participants with IGT, IFG or both. One trial reported that none of the 141 physical activity participants compared with three of 133 control participants died. The other trial reported that three of 84 physical activity participants and one of 39 control participants died (very low-quality evidence). In one trial T2DM developed in 58 of 141 physical activity participants (41.1%) compared with 90 of 133 control participants (67.7%). In the other trial 10 of 84 physical activity participants (11.9%) compared with seven of 39 control participants (18%) developed T2DM (very low-quality evidence). Serious adverse events were rarely reported (one trial noted no events, one trial described events in three of 66 physical activity participants compared with one of 39 control participants - very low-quality evidence). Only one trial reported on cardiovascular mortality (none of 274 participants died - very low-quality evidence). Non-fatal myocardial infarction or stroke were rarely observed in the one trial randomising 123 participants (very low-quality evidence). One trial reported that none of the participants in the trial experienced hypoglycaemia. One trial investigating health-related quality of life in 123 participants showed no substantial differences between intervention groups (very low-quality evidence). There were no data on blindness or socioeconomic effects. AUTHORS' CONCLUSIONS There is no firm evidence that diet alone or physical activity alone compared to standard treatment influences the risk of T2DM and especially its associated complications in people at increased risk of developing T2DM. However, diet plus physical activity reduces or delays the incidence of T2DM in people with IGT. Data are lacking for the effect of diet plus physical activity for people with intermediate hyperglycaemia defined by other glycaemic variables. Most RCTs did not investigate patient-important outcomes.
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Affiliation(s)
- Bianca Hemmingsen
- Herlev University HospitalDepartment of Internal MedicineHerlev Ringvej 75HerlevDenmarkDK‐2730
| | - Gabriel Gimenez‐Perez
- Hospital General de Granollers and School of Medicine and Health Sciences. Universitat Internacional de Catalunya (UIC)Medicine DepartmentFrancesc Ribas s/nGranollersSpain08402
| | - Didac Mauricio
- Hospital Universitari Germans Trias i Pujol ‐ CIBERDEMDepartment of Endocrinology and NutritionCarretera Canyet S/NBadalonaSpain08916
| | - Marta Roqué i Figuls
- CIBER Epidemiología y Salud Pública (CIBERESP)Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau)Sant Antoni Maria Claret 171Edifici Casa de ConvalescènciaBarcelonaCatalunyaSpain08041
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
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Vitolins MZ, Isom SP, Blackwell CS, Kernodle D, Sydell JM, Pedley CF, Katula JA, Case LD, Goff DC. The healthy living partnerships to prevent diabetes and the diabetes prevention program: a comparison of year 1 and 2 intervention results. Transl Behav Med 2017; 7:371-378. [PMID: 27796775 PMCID: PMC5526803 DOI: 10.1007/s13142-016-0447-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
A number of research studies have attempted to translate the behavioral lifestyle intervention delivered in the Diabetes Prevention Program (DPP). To compare the active interventions of two trials, Diabetes Prevention Program DPP and Healthy Living Partnerships to Prevent Diabetes (HELP PD), after 1 and 2 years of intervention. DPP included 3234 adults with prediabetes randomized to intensive lifestyle intervention, metformin, troglitazone, or placebo. The lifestyle intervention, professionally delivered to individuals in a clinical setting, focused on diet and increased physical activity. HELP PD, a community-based translation of DPP, included 301 adults randomized to receive intensive lifestyle intervention or enhanced usual care. Mean weight-losses at 1 year (6.9 kg in DPP, 6.4 kg in HELP PD) and 2 years (5.5 kg in DPP, 4.4 kg in HELP PD) were similar across studies. Reductions in glucose were also similar across studies at both time points (5.2 mg/dL in DPP and 4.1 mg/dL in HELP PD at 1 year; 1.8 mg/dL and 1.6 mg/dL at 2 years). HELP PD participants achieved larger reductions in triglycerides at 1 and 2 years (38.4 mg/dL and 34.9 mg/dL, respectively) than DPP participants (24.8 mg/dL and 22.4 mg/dL). High-density lipoprotein decreased in HELP PD participants at year 1 (-0.6 mg/dL) and increased in DPP (1.2 mg/dL) but there were no significant differences in year 2. HELP PD, a community model for diabetes prevention, was similar to DPP in reducing body weight and lowering blood glucose, both important risk factors that should be controlled to reduce risk for developing type 2 diabetes.
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Affiliation(s)
- Mara Z Vitolins
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA.
| | - Scott P Isom
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Caroline S Blackwell
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Donna Kernodle
- Wake Forest Baptist Medical Center, Joslin Diabetes Center, Winston-Salem, NC, USA
| | - Joyce M Sydell
- Wake Forest Baptist Medical Center, Joslin Diabetes Center, Winston-Salem, NC, USA
| | - Carolyn F Pedley
- Department of Internal Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA
| | - Jeffrey A Katula
- Department of Health & Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - L Douglas Case
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - David C Goff
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
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The Lifestyle Intervention for the Treatment of Diabetes study (LIFT Diabetes): Design and baseline characteristics for a randomized translational trial to improve control of cardiovascular disease risk factors. Contemp Clin Trials 2016; 53:89-99. [PMID: 27940180 DOI: 10.1016/j.cct.2016.12.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 11/18/2016] [Accepted: 12/03/2016] [Indexed: 01/07/2023]
Abstract
The prevalence of type 2 diabetes continues to increase in minority and underserved patients, who are also more likely to have poorer control of diabetes and related risk factors for complications. Although the Look AHEAD trial has demonstrated improved risk factor control among overweight or obese diabetes patients who received an intensive lifestyle intervention, translating such findings into accessible programs is a major public health challenge. The purpose of this paper is to report the design and baseline characteristics of the Lifestyle Interventions for the Treatment of Diabetes study (LIFT Diabetes). The overall goal is to test the impact of a community-based lifestyle weight loss (LWL) intervention adapted from Look AHEAD on cardiovascular disease risk at 12-months and 24-months among minority and lower income diabetes patients. Secondary outcomes include body weight, physical activity, medication use, cost, resource utilization, and safety. The primary hypothesis being tested is that the LWL will result in 10% relative reduction in CVD risk compared to the DSM. We have randomized 260 overweight or obese adults with diabetes one of two 12-month interventions: a LWL condition delivered by community health workers or a diabetes self-management (DSM) education condition. The baseline demographic characteristics indicate that our sample is predominantly female, obese, low income, and ethnic minority. Translating evidence-based, lifestyle strategies, and targeting minority and underserved patients, will yield, if successful, a model for addressing the burden of diabetes and may favorably impact health disparities.
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Ingels JB, Walcott RL, Wilson MG, Corso PS, Padilla HM, Zuercher H, DeJoy DM, Vandenberg RJ. A Prospective Programmatic Cost Analysis of Fuel Your Life: A Worksite Translation of DPP. J Occup Environ Med 2016; 58:1106-1112. [PMID: 27820760 PMCID: PMC5927588 DOI: 10.1097/jom.0000000000000868] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE An accounting of the resources necessary for implementation of efficacious programs is important for economic evaluations and dissemination. METHODS A programmatic costs analysis was conducted prospectively in conjunction with an efficacy trial of Fuel Your Life (FYL), a worksite translation of the Diabetes Prevention Program. FYL was implemented through three different modalities, Group, Phone, and Self-study, using a micro-costing approach from both the employer and societal perspectives. RESULTS The Phone modality was the most costly at $354.6 per participant, compared with $154.6 and $75.5 for the Group and Self-study modalities, respectively. With the inclusion of participant-related costs, the Phone modality was still more expensive than the Group modality but with a smaller incremental difference ($461.4 vs $368.1). CONCLUSIONS This level of cost-related detail for a preventive intervention is rare, and our analysis can aid in the transparency of future economic evaluations.
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Affiliation(s)
- Justin B Ingels
- Economic Evaluation Research Group, College of Public Health (Drs Ingels, Walcott, Corso); Workplace Health Group, College of Public Health (Mr Wilson, Ms Padilla, Drs Zuercher, DeJoy); and Department of Management, Terry College of Business, University of Georgia, Athens, Georgia (Dr Vandenberg)
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29
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Kim K, Choi JS, Choi E, Nieman CL, Joo JH, Lin FR, Gitlin LN, Han HR. Effects of Community-Based Health Worker Interventions to Improve Chronic Disease Management and Care Among Vulnerable Populations: A Systematic Review. Am J Public Health 2016; 106:e3-e28. [PMID: 26890177 PMCID: PMC4785041 DOI: 10.2105/ajph.2015.302987] [Citation(s) in RCA: 272] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2015] [Indexed: 11/04/2022]
Abstract
BACKGROUND Community-based health workers (CBHWs) are frontline public health workers who are trusted members of the community they serve. Recently, considerable attention has been drawn to CBHWs in promoting healthy behaviors and health outcomes among vulnerable populations who often face health inequities. OBJECTIVES We performed a systematic review to synthesize evidence concerning the types of CBHW interventions, the qualification and characteristics of CBHWs, and patient outcomes and cost-effectiveness of such interventions in vulnerable populations with chronic, noncommunicable conditions. SEARCH METHODS We undertook 4 electronic database searches-PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature, and Cochrane-and hand searched reference collections to identify randomized controlled trials published in English before August 2014. SELECTION We screened a total of 934 unique citations initially for titles and abstracts. Two reviewers then independently evaluated 166 full-text articles that were passed onto review processes. Sixty-one studies and 6 companion articles (e.g., cost-effectiveness analysis) met eligibility criteria for inclusion. DATA COLLECTION AND ANALYSIS Four trained research assistants extracted data by using a standardized data extraction form developed by the authors. Subsequently, an independent research assistant reviewed extracted data to check accuracy. Discrepancies were resolved through discussions among the study team members. Each study was evaluated for its quality by 2 research assistants who extracted relevant study information. Interrater agreement rates ranged from 61% to 91% (average 86%). Any discrepancies in terms of quality rating were resolved through team discussions. MAIN RESULTS All but 4 studies were conducted in the United States. The 2 most common areas for CBHW interventions were cancer prevention (n = 30) and cardiovascular disease risk reduction (n = 26). The roles assumed by CBHWs included health education (n = 48), counseling (n = 36), navigation assistance (n = 21), case management (n = 4), social services (n = 7), and social support (n = 18). Fifty-three studies provided information regarding CBHW training, yet CBHW competency evaluation (n = 9) and supervision procedures (n = 24) were largely underreported. The length and duration of CBHW training ranged from 4 hours to 240 hours with an average of 41.3 hours (median: 16.5 hours) in 24 studies that reported length of training. Eight studies reported the frequency of supervision, which ranged from weekly to monthly. There was a trend toward improvements in cancer prevention (n = 21) and cardiovascular risk reduction (n = 16). Eight articles documented cost analyses and found that integrating CBHWs into the health care delivery system was associated with cost-effective and sustainable care. CONCLUSIONS Interventions by CBHWs appear to be effective when compared with alternatives and also cost-effective for certain health conditions, particularly when partnering with low-income, underserved, and racial and ethnic minority communities. Future research is warranted to fully incorporate CBHWs into the health care system to promote noncommunicable health outcomes among vulnerable populations.
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Affiliation(s)
- Kyounghae Kim
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Janet S Choi
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Eunsuk Choi
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Carrie L Nieman
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Jin Hui Joo
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Frank R Lin
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Laura N Gitlin
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
| | - Hae-Ra Han
- Kyounghae Kim and Hae-Ra Han are with The Johns Hopkins University School of Nursing, Baltimore, MD. Janet S. Choi, Carrie L. Nieman, and Frank R. Lin are with Center on Aging and Health, The Johns Hopkins University. Eunsuk Choi is with College of Nursing and Research Institute of Nursing Science, Kyungpook National University, Daegu, South Korea. Carrie L. Nieman and Jin Hui Joo are with Johns Hopkins University School of Medicine. Laura N. Gitlin is with Center for Innovative Care in Aging, Johns Hopkins University School of Nursing and Medicine. Hae-Ra Han is also with Center for Cardiovascular and Chronic Care, Johns Hopkins University School of Nursing
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Neamah HH, Sebert Kuhlmann AK, Tabak RG. Effectiveness of Program Modification Strategies of the Diabetes Prevention Program: A Systematic Review. DIABETES EDUCATOR 2016; 42:153-65. [PMID: 26879459 DOI: 10.1177/0145721716630386] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE The purpose of this study is to review the effectiveness of commonly used program modifications classified under cultural adaptation and program translational strategies for the Diabetes Prevention Program (DPP) in terms of risk reduction for type 2 diabetes. METHODS Authors extracted data about weight, body mass index (BMI), and 5 areas of program modification strategies from 28 interventions and analyzed them in SPSS software. Bivariate analyses examined the odds of achieving a significant reduction in outcomes by each modification of the DPP and by presence of a maintenance component, as well as the mean reduction of weight and BMI by more versus fewer modifications and by the presence of a maintenance component. RESULTS There were no statistically significant differences in achieving a significant reduction in weight or BMI by any type of modification or by the presence of a maintenance component. Programs with fewer modifications reported significantly greater reduction in mean weight at 12 months postintervention and the furthest time point extracted. Programs with a maintenance component achieved significantly greater reduction in mean weight measured at the furthest time point extracted. CONCLUSIONS The DPP appears to be programmatically robust to a variety of cultural adaptation and translational strategies. Potentially cost-saving modifications do not seem to reduce effectiveness, which should encourage implementation on a broader scale. Program planners should, however, make efforts to include maintenance components because they appear to significantly reduce risk for acquiring type 2 diabetes.
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Affiliation(s)
- Hind H Neamah
- Brown School, Washington University in St Louis, St Louis, Missouri, USA (Dr Neamah, Dr Sebert Kuhlmann)
| | - Anne K Sebert Kuhlmann
- Brown School, Washington University in St Louis, St Louis, Missouri, USA (Dr Neamah, Dr Sebert Kuhlmann),Behavioral Sciences and Health Education, College for Public Health and Social Justice, Saint Louis University, St Louis, Missouri, USA (Dr Sebert Kuhlmann)
| | - Rachel G Tabak
- Prevention Research Center in St Louis, Brown School, Washington University in St Louis, St Louis, Missouri, USA (Dr Tabak)
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Block G, Azar KM, Romanelli RJ, Block TJ, Hopkins D, Carpenter HA, Dolginsky MS, Hudes ML, Palaniappan LP, Block CH. Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes. J Med Internet Res 2015; 17:e240. [PMID: 26499966 PMCID: PMC4642405 DOI: 10.2196/jmir.4897] [Citation(s) in RCA: 151] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 08/15/2015] [Accepted: 09/21/2015] [Indexed: 12/14/2022] Open
Abstract
Background One-third of US adults, 86 million people, have prediabetes. Two-thirds of adults are overweight or obese and at risk for diabetes. Effective and affordable interventions are needed that can reach these 86 million, and others at high risk, to reduce their progression to diagnosed diabetes. Objective The aim was to evaluate the effectiveness of a fully automated algorithm-driven behavioral intervention for diabetes prevention, Alive-PD, delivered via the Web, Internet, mobile phone, and automated phone calls. Methods Alive-PD provided tailored behavioral support for improvements in physical activity, eating habits, and factors such as weight loss, stress, and sleep. Weekly emails suggested small-step goals and linked to an individual Web page with tools for tracking, coaching, social support through virtual teams, competition, and health information. A mobile phone app and automated phone calls provided further support. The trial randomly assigned 339 persons to the Alive-PD intervention (n=163) or a 6-month wait-list usual-care control group (n=176). Participants were eligible if either fasting glucose or glycated hemoglobin A1c (HbA1c) was in the prediabetic range. Primary outcome measures were changes in fasting glucose and HbA1c at 6 months. Secondary outcome measures included clinic-measured changes in body weight, body mass index (BMI), waist circumference, triglyceride/high-density lipoprotein cholesterol (TG/HDL) ratio, and Framingham diabetes risk score. Analysis was by intention-to-treat. Results Participants’ mean age was 55 (SD 8.9) years, mean BMI was 31.2 (SD 4.4) kg/m2, and 68.7% (233/339) were male. Mean fasting glucose was in the prediabetic range (mean 109.9, SD 8.4 mg/dL), whereas the mean HbA1c was 5.6% (SD 0.3), in the normal range. In intention-to-treat analyses, Alive-PD participants achieved significantly greater reductions than controls in fasting glucose (mean –7.36 mg/dL, 95% CI –7.85 to –6.87 vs mean –2.19, 95% CI –2.64 to –1.73, P<.001), HbA1c (mean –0.26%, 95% CI –0.27 to –0.24 vs mean –0.18%, 95% CI –0.19 to –0.16, P<.001), and body weight (mean –3.26 kg, 95% CI –3.26 to –3.25 vs mean –1.26 kg, 95% CI –1.27 to –1.26, P<.001). Reductions in BMI, waist circumference, and TG/HDL were also significantly greater in Alive-PD participants than in the control group. At 6 months, the Alive-PD group reduced their Framingham 8-year diabetes risk from 16% to 11%, significantly more than the control group (P<.001). Participation and retention was good; intervention participants interacted with the program a median of 17 (IQR 14) of 24 weeks and 71.1% (116/163) were still interacting with the program in month 6. Conclusions Alive-PD improved glycemic control, body weight, BMI, waist circumference, TG/HDL ratio, and diabetes risk. As a fully automated system, the program has high potential for scalability and could potentially reach many of the 86 million US adults who have prediabetes as well as other at-risk groups. Trial Registration Clinicaltrials.gov NCT01479062; https://clinicaltrials.gov/ct2/show/NCT01479062 (Archived by WebCite at http://www.webcitation.org/6bt4V20NR)
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Affiliation(s)
- Gladys Block
- Turnaround Health, a division of NutritionQuest, Berkeley, CA, United States.
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A review of diabetes prevention program translations: use of cultural adaptation and implementation research. Transl Behav Med 2015; 5:401-14. [PMID: 26622913 DOI: 10.1007/s13142-015-0341-0] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The Diabetes Prevention Program (DPP) has been shown to prevent type 2 diabetes through lifestyle modification. The purpose of this study was to describe the literature on DPP translation, synthesizing studies using cultural adaptation and implementation research. A systematic search was conducted. Original studies evaluating DPP implementation and/or cultural adaptation were included. Data about cultural adaptation, implementation outcomes, and translation strategies was abstracted. A total of 44 were included, of which 15 reported cultural adaptations and 38 explored implementation. Many studies shortened the program length and reported a group format. The most commonly reported cultural adaptation (13 of 15) was with content. At the individual level, the most frequently assessed implementation outcome (n = 30) was adoption. Feasibility was most common (n = 32) at the organization level. The DPP is being tested in a variety of settings and populations, using numerous translational strategies and cultural adaptations. Implementation research that identifies, evaluates, and reports efforts to translate the DPP into practice is crucial.
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Li R, Qu S, Zhang P, Chattopadhyay S, Gregg EW, Albright A, Hopkins D, Pronk NP. Economic Evaluation of Combined Diet and Physical Activity Promotion Programs to Prevent Type 2 Diabetes Among Persons at Increased Risk: A Systematic Review for the Community Preventive Services Task Force. Ann Intern Med 2015; 163:452-60. [PMID: 26167962 PMCID: PMC4913890 DOI: 10.7326/m15-0469] [Citation(s) in RCA: 105] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Diabetes is a highly prevalent and costly disease. Studies indicate that combined diet and physical activity promotion programs can prevent type 2 diabetes among persons at increased risk. PURPOSE To systematically evaluate the evidence on cost, cost-effectiveness, and cost-benefit estimates of diet and physical activity promotion programs. DATA SOURCES Cochrane Library, EMBASE, MEDLINE, PsycINFO, Sociological Abstracts, Web of Science, EconLit, and CINAHL through 7 April 2015. STUDY SELECTION English-language studies from high-income countries that provided data on cost, cost-effectiveness, or cost-benefit ratios of diet and physical activity promotion programs with at least 2 sessions over at least 3 months delivered to persons at increased risk for type 2 diabetes. DATA EXTRACTION Dual abstraction and assessment of relevant study details. DATA SYNTHESIS Twenty-eight studies were included. Costs were expressed in 2013 U.S. dollars. The median program cost per participant was $653. Costs were lower for group-based programs (median, $417) and programs implemented in community or primary care settings (median, $424) than for the U.S. DPP (Diabetes Prevention Program) trial and the DPP Outcomes Study ($5881). Twenty-two studies assessed the incremental cost-effectiveness ratios (ICERs) of the programs. From a health system perspective, 16 studies reported a median ICER of $13 761 per quality-adjusted life-year (QALY) saved. Group-based programs were more cost-effective (median, $1819 per QALY) than those that used individual sessions (median, $15 846 per QALY). No cost-benefit studies were identified. LIMITATION Information on recruitment costs and cost-effectiveness of translational programs implemented in community and primary care settings was limited. CONCLUSION Diet and physical activity promotion programs to prevent type 2 diabetes are cost-effective among persons at increased risk. Costs are lower when programs are delivered to groups in community or primary care settings. PRIMARY FUNDING SOURCE None.
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Affiliation(s)
- Rui Li
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - Shuli Qu
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - Ping Zhang
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - Sajal Chattopadhyay
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - Edward W. Gregg
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - Ann Albright
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - David Hopkins
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
| | - Nicolaas P. Pronk
- From Centers for Disease Control and Prevention, Atlanta, Georgia, and HealthPartners Research Foundation, Minneapolis, Minnesota
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Costs of implementing a behavioral weight-loss and lifestyle-change program for individuals with serious mental illnesses in community settings. Transl Behav Med 2015; 5:269-76. [PMID: 26327932 DOI: 10.1007/s13142-015-0322-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Little research has examined costs of adopting a successful lifestyle intervention for people with serious mental illnesses in community clinics. The study aims to calculate the real-world costs of implementing a group-based weight-loss and lifestyle intervention in community settings. We used empirically derived costs to estimate implementation costs and conducted sensitivity analyses to estimate costs: (1) when implementing the intervention in high/low resource-intensive environments and (2) assuming variability in participant enrollment. To implement the STRIDE program for 15 individuals with serious mental illnesses, we estimated costs for the 12-month (30-session) intervention, with materials available in the public domain, at $16,427 or $1095 per participant. The majority of costs, $12,767, were associated with direct labor costs. Replication costs are largely associated with labor. Community health centers offer an untapped resource for implementing behavioral-lifestyle interventions, particularly under the Affordable Care Act, though additional payment reforms or incentives may be needed.
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Evaluation of physical activity reporting in community Diabetes Prevention Program lifestyle intervention efforts: A systematic review. Prev Med 2015; 77:191-9. [PMID: 26051204 DOI: 10.1016/j.ypmed.2015.05.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Revised: 05/29/2015] [Accepted: 05/30/2015] [Indexed: 12/28/2022]
Abstract
INTRODUCTION The Diabetes Prevention Program (DPP) lifestyle intervention has been translated to community settings using the DPP goals of 7% weight loss and 150min of moderate physical activity (PA) per week. Given that PA is a primary lifestyle goal and has been linked to improvements in metabolic health in the DPP, it is important to understand the role that PA plays in translation effort success. The purpose of this review is to thoroughly evaluate the reporting of PA methodology and results in DPP-based translations in order to guide future prevention efforts. METHODS PubMed and Ovid databases were searched to identify peer-reviewed original research articles on DPP-based translations for adults at-risk for developing diabetes or cardiovascular disease, limited to English language publications from January 2002-March 2015. RESULTS 72 original research articles describing 57 translation studies met eligibility criteria. All 57 study interventions included a PA goal, 47 studies (82%) collected participant PA information, and 34 (60%) provided PA results. CONCLUSIONS Despite PA being a primary intervention goal, PA methodology and results are under-reported in published DPP translation studies. This absence and inconsistency in reporting PA needs addressed in order to fully understand translation efforts' impact on participant health.
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Medicare's intensive behavioral therapy for obesity: an exploratory cost-effectiveness analysis. Am J Prev Med 2015; 48:419-25. [PMID: 25703178 DOI: 10.1016/j.amepre.2014.11.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Revised: 10/30/2014] [Accepted: 11/11/2014] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Medicare coverage recently was expanded to include intensive behavioral therapy for obese individuals in primary care settings. PURPOSE To examine the potential cost effectiveness of Medicare's intensive behavioral therapy for obesity, accounting for uncertainty in effectiveness and utilization. METHODS A Markov simulation model of type 2 diabetes was used to estimate long-term health benefits and healthcare system costs of intensive behavioral therapy for obesity in the Medicare population without diabetes relative to an alternative of usual care. Cohort statistics were based on the 2005-2008 National Health and Nutrition Examination Survey. Model parameters were derived from the literature. Analyses were conducted in 2014 and reported in 2012 U.S. dollars. RESULTS Based on assumptions for the maximal intervention effectiveness, intensive behavioral therapy is likely to be cost saving if costs per session equal the current reimbursement rate ($25.19) and will provide a cost-effectiveness ratio of $20,912 per quality-adjusted life-year if costs equal the rate for routine office visits. The intervention is less cost effective if it is less effective in primary care settings or if fewer intervention sessions are supplied by providers or used by participants. CONCLUSIONS If the effectiveness of the intervention is similar to lifestyle interventions tested in other settings and costs per session equal the current reimbursement rate, intensive behavioral therapy for obesity offers good value. However, intervention effectiveness and the pattern of implementation and utilization strongly influence cost effectiveness. Given uncertainty regarding these factors, additional data might be collected to validate the modeling results.
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Value of lifestyle intervention to prevent diabetes and sequelae. Am J Prev Med 2015; 48:271-80. [PMID: 25498548 DOI: 10.1016/j.amepre.2014.10.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2014] [Revised: 09/09/2014] [Accepted: 10/03/2014] [Indexed: 01/13/2023]
Abstract
BACKGROUND The Community Preventive Services Task Force recommends combined diet and physical activity promotion programs for people at increased risk of type 2 diabetes, as evidence continues to show that intensive lifestyle interventions are effective for overweight individuals with prediabetes. PURPOSE To illustrate the potential clinical and economic benefits of treating prediabetes with lifestyle intervention to prevent or delay onset of type 2 diabetes and sequelae. METHODS This 2014 analysis used a Markov model to simulate disease onset, medical expenditures, economic outcomes, mortality, and quality of life for a nationally representative sample with prediabetes from the 2003-2010 National Health and Nutrition Examination Survey. Modeled scenarios used 10-year follow-up results from the lifestyle arm of the Diabetes Prevention Program and Outcomes Study versus simulated natural history of disease. RESULTS Over 10 years, estimated average cumulative gross economic benefits of treating patients who met diabetes screening criteria recommended by the ADA ($26,800) or USPSTF ($24,700) exceeded average benefits from treating the entire prediabetes population ($17,800). Estimated cumulative, gross medical savings for these three populations averaged $10,400, $11,200, and $6,300, respectively. Published estimates suggest that opportunistic screening for prediabetes is inexpensive, and lifestyle intervention similar to the Diabetes Prevention Program can be achieved for ≤$2,300 over 10 years. CONCLUSIONS Lifestyle intervention among people with prediabetes produces long-term societal benefits that exceed anticipated intervention costs, especially among prediabetes patients that meet the ADA and USPSTF screening guidelines.
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Block G, Azar KM, Block TJ, Romanelli RJ, Carpenter H, Hopkins D, Palaniappan L, Block CH. A Fully Automated Diabetes Prevention Program, Alive-PD: Program Design and Randomized Controlled Trial Protocol. JMIR Res Protoc 2015; 4:e3. [PMID: 25608692 PMCID: PMC4319077 DOI: 10.2196/resprot.4046] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 11/25/2014] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND In the United States, 86 million adults have pre-diabetes. Evidence-based interventions that are both cost effective and widely scalable are needed to prevent diabetes. OBJECTIVE Our goal was to develop a fully automated diabetes prevention program and determine its effectiveness in a randomized controlled trial. METHODS Subjects with verified pre-diabetes were recruited to participate in a trial of the effectiveness of Alive-PD, a newly developed, 1-year, fully automated behavior change program delivered by email and Web. The program involves weekly tailored goal-setting, team-based and individual challenges, gamification, and other opportunities for interaction. An accompanying mobile phone app supports goal-setting and activity planning. For the trial, participants were randomized by computer algorithm to start the program immediately or after a 6-month delay. The primary outcome measures are change in HbA1c and fasting glucose from baseline to 6 months. The secondary outcome measures are change in HbA1c, glucose, lipids, body mass index (BMI), weight, waist circumference, and blood pressure at 3, 6, 9, and 12 months. Randomization and delivery of the intervention are independent of clinic staff, who are blinded to treatment assignment. Outcomes will be evaluated for the intention-to-treat and per-protocol populations. RESULTS A total of 340 subjects with pre-diabetes were randomized to the intervention (n=164) or delayed-entry control group (n=176). Baseline characteristics were as follows: mean age 55 (SD 8.9); mean BMI 31.1 (SD 4.3); male 68.5%; mean fasting glucose 109.9 (SD 8.4) mg/dL; and mean HbA1c 5.6 (SD 0.3)%. Data collection and analysis are in progress. We hypothesize that participants in the intervention group will achieve statistically significant reductions in fasting glucose and HbA1c as compared to the control group at 6 months post baseline. CONCLUSIONS The randomized trial will provide rigorous evidence regarding the efficacy of this Web- and Internet-based program in reducing or preventing progression of glycemic markers and indirectly in preventing progression to diabetes. TRIAL REGISTRATION ClinicalTrials.gov NCT01479062; http://clinicaltrials.gov/show/NCT01479062 (Archived by WebCite at http://www.webcitation.org/6U8ODy1vo).
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Affiliation(s)
- Gladys Block
- NutritionQuest, Inc., Berkeley, CA, United States.
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Goff DC, Katula JA, Blackwell CS, Isom SP, Pedley CF, Vitolins MZ. Comment on Kahn and Davidson. The reality of type 2 diabetes prevention. Diabetes care 2014;37:943-949. Diabetes Care 2014; 37:e185-6. [PMID: 25061153 DOI: 10.2337/dc14-0854] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- David C Goff
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO
| | - Jeffrey A Katula
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC
| | - Caroline S Blackwell
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Scott P Isom
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Carolyn F Pedley
- Department of General Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Mara Z Vitolins
- Division of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
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Tang TS, Funnell M, Sinco B, Piatt G, Palmisano G, Spencer MS, Kieffer EC, Heisler M. Comparative effectiveness of peer leaders and community health workers in diabetes self-management support: results of a randomized controlled trial. Diabetes Care 2014; 37:1525-34. [PMID: 24722495 PMCID: PMC4030090 DOI: 10.2337/dc13-2161] [Citation(s) in RCA: 123] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To compare a peer leader (PL) versus a community health worker (CHW) telephone outreach intervention in sustaining improvements in HbA1c over 12 months after a 6-month diabetes self-management education (DSME) program. RESEARCH DESIGN AND METHODS One hundred and sixteen Latino adults with type 2 diabetes were recruited from a federally qualified health center and randomized to (1) a 6-month DSME program followed by 12 months of weekly group sessions delivered by PLs with telephone outreach to those unable to attend or (2) a 6-month DSME program followed by 12 months of monthly telephone outreach delivered by CHWs. The primary outcome was HbA1c. Secondary outcomes were cardiovascular disease risk factors, diabetes distress, and diabetes social support. Assessments were conducted at baseline, 6, 12, and 18 months. RESULTS After DSME, the PL group achieved a reduction in mean HbA1c (8.2-7.5% or 66-58 mmol/mol, P < 0.0001) that was maintained at 18 months (-0.6% or -6.6 mmol/mol from baseline [P = 0.009]). The CHW group also showed a reduction in HbA1c (7.8 vs. 7.3% or 62 vs. 56 mmol/mol, P = 0.0004) post-6 month DSME; however, it was attenuated at 18 months (-0.3% or -3.3 mmol/mol from baseline, within-group P = 0.234). Only the PL group maintained improvements achieved in blood pressure at 18 months. At the 18-month follow-up, both groups maintained improvements in waist circumference, diabetes support, and diabetes distress, with no significant differences between groups. CONCLUSIONS Both low-cost maintenance programs led by either a PL or a CHW maintained improvements in key patient-reported diabetes outcomes, but the PL intervention may have additional benefit in sustaining clinical improvements beyond 12 months.
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Affiliation(s)
- Tricia S Tang
- University of British Columbia Department of Medicine, Vancouver, British Columbia, Canada
| | - Martha Funnell
- University of Michigan Department of Medical Education, Ann Arbor, MI
| | - Brandy Sinco
- University of Michigan School of Social Work, Ann Arbor, MI
| | - Gretchen Piatt
- University of Michigan Department of Medical Education, Ann Arbor, MI
| | | | | | | | - Michele Heisler
- University of Michigan Department of Internal Medicine, Ann Arbor, MIAnn Arbor VA Center for Clinical Management Research, Ann Arbor, MI
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Leahey TM, Thomas G, Fava JL, Subak LL, Schembri M, Krupel K, Kumar R, Weinberg B, Wing RR. Adding evidence-based behavioral weight loss strategies to a statewide wellness campaign: a randomized clinical trial. Am J Public Health 2014; 104:1300-6. [PMID: 24832424 DOI: 10.2105/ajph.2014.301870] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES We determined the efficacy and cost-effectiveness of adding an evidence-based Internet behavioral weight loss intervention alone or combined with optional group sessions to ShapeUp Rhode Island 2011 (SURI), a 3-month statewide wellness campaign. METHODS We randomized participants (n = 230; body mass index = 34.3 ±6.8 kg/m(2); 84% female) to the standard SURI program (S) or to 1 of 2 enhanced programs: SURI plus Internet behavioral program (SI) or SI plus optional group sessions (SIG). The primary outcome was weight loss at the end of the 3-month program. RESULTS Weight losses differed among all 3 conditions (S: 1.1% ±0.9%; SI: 4.2% ±0.6%; SIG: 6.1% ±0.6%; Ps ≤ .04). Both SI and SIG increased the percentage of individuals who achieved a 5% weight loss (SI: 42%; SIG: 54%; S: 7%; Ps < .001). Cost per kilogram of weight loss was similar for S ($39) and SI ($35); both were lower than SIG ($114). CONCLUSIONS Although weight losses were greatest at the end of SURI with optional group sessions, the addition of an Internet behavioral program was the most cost-effective method to enhance weight losses.
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Affiliation(s)
- Tricia M Leahey
- Tricia M. Leahey, Graham Thomas, and Rena R. Wing are with Alpert Medical School of Brown University Department of Psychiatry and Human Behavior, The Miriam Hospital's Weight Control and Diabetes Research Center, Providence, RI. Joseph L. Fava and Katie Krupel are with The Miriam Hospital's Weight Control and Diabetes Research Center, Providence. Leslee L. Subak is with the University of California San Francisco, Department of Obstetrics, Gynecology, and Reproductive Science, San Francisco, CA. Michael Schembri is with University of California San Francisco, Women's Health Clinical Research Center, San Francisco. Rajiv Kumar is with ShapeUp Inc, Providence. Brad Weinberg is with Blueprint Health Inc, New York, NY
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Sénéchal M, Slaght J, Bharti N, Bouchard DR. Independent and combined effect of diet and exercise in adults with prediabetes. Diabetes Metab Syndr Obes 2014; 7:521-9. [PMID: 25382981 PMCID: PMC4222617 DOI: 10.2147/dmso.s62367] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Prediabetes is defined as impaired fasting glucose and/or impaired glucose tolerance. Impaired fasting glucose is usually defined as fasting blood glucose between 5.6 mmol/L and 6.9 mmol/L (100.8-124.2 mg/dL), and impaired glucose tolerance is the 2-hour oral glucose tolerance test of 7.8-11.0 mmol/L (140.4-198.0 mg/dL). Most individuals with prediabetes are overweight or obese and are at greater risk of type 2 diabetes (T2D). The first line of treatment for individuals with prediabetes is lifestyle modification, including diet and exercise. The aim of this review, through the revision of primarily randomized control trials, is to discuss the independent and combined effect of diet and exercise on the incidence of T2D, glycemic control, and weight loss in adults with prediabetes. Based on the available literature, lifestyle modification combining both diet and exercise is effective at reducing the incidence of T2D and improving glycemic control, even without a significant reduction in body weight. Thus, it is unclear whether weight loss, through lifestyle modification, is a cornerstone for improving glycemic control in individuals with prediabetes. The independent effect of diet or exercise alone on the improvement in glycemic control and/or reduction in body weight in individuals with prediabetes still requires more studies to draw a clear conclusion, considering the quality and quantity of available studies. As of now, the best diet and/or exercise program to improve glycemic control and body weight in adults with prediabetes is unknown.
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Affiliation(s)
- Martin Sénéchal
- Manitoba Institute of Child Health, Winnipeg, MN, Canada
- Department of Pediatrics and Child Health, Faculty of Medicine, University of Manitoba, Winnipeg, MN, Canada
| | - Jana Slaght
- Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MN, Canada
| | - Neha Bharti
- Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MN, Canada
| | - Danielle R Bouchard
- Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MN, Canada
- Health, Leisure, and Human Performance Research Institute, University of Manitoba, Winnipeg, MN, Canada
- Correspondence: Danielle R Bouchard, Faculty of Kinesiology and Recreation Management, Health, Leisure and Human Performance Research Institute, University of Manitoba, 318 Max Bell Centre, Winnipeg, MN R3T 2N2, Canada, Tel +1 204 474 8627, Fax +1 204 261 4802, Email
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Zhuo X. Capsule commentary on Ritzwoller et al., Economic analyses of the Be Fit Be Well program: a weight loss program for community health centers. J Gen Intern Med 2013; 28:1643. [PMID: 23739812 PMCID: PMC3832718 DOI: 10.1007/s11606-013-2504-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xiaohui Zhuo
- National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS K10, Atlanta, GA, 30341, USA,
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Jain SH. Advancing the science and practice of diabetes prevention: an introduction to the supplement. Am J Prev Med 2013; 44:S297-8. [PMID: 23498289 DOI: 10.1016/j.amepre.2013.02.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Revised: 02/01/2013] [Accepted: 02/01/2013] [Indexed: 10/27/2022]
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