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Park S, Ballreich J, Ward T, Shi L. Cost-effectiveness analysis of a digital diabetes-prevention programme versus an in-person diabetes-prevention programme in people with prediabetes in the United States. Diabetes Obes Metab 2024. [PMID: 39056211 DOI: 10.1111/dom.15807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/28/2024]
Abstract
AIM To assess the cost-effectiveness of a digital diabetes prevention programme (d-DPP) compared with a diabetes prevention programme (DPP) for preventing type 2 diabetes (T2D) in individuals with prediabetes in the United States. METHODS A Markov cohort model was constructed, simulating a 10-year period starting at the age of 45 years, with a societal and healthcare sector perspective. The effectiveness of the d-DPP intervention was evaluated using a meta-analysis, with that of the DPP as the comparator. The initial cycle represented the treatment period, and transition probabilities for the post-treatment period were derived from a long-term lifestyle intervention meta-analysis. The onset of T2D complications was estimated using microsimulation. Quality-adjusted life years (QALYs) were calculated based on health utility measured by short form (SF)-12 scores, and a willingness-to-pay threshold of $100 000 per QALY gained was applied. RESULTS The d-DPP intervention resulted in cost savings of $3,672 from a societal perspective and $2,990 from a healthcare sector perspective and a gain of 0.08 QALYs compared with the DPP. The dropout rate was identified as a significant factor influencing the results. Probabilistic sensitivity analysis showed that the d-DPP intervention was preferred in 85.8% in the societal perspective and 85.2% in the healthcare sector perspective. CONCLUSIONS The d-DPP is a cost-effective alternative to in-person lifestyle interventions for preventing the development of T2D among individuals with prediabetes in the United States.
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Affiliation(s)
- Sooyeol Park
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jeromie Ballreich
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Trevor Ward
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Lizheng Shi
- Department of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
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Michaud TL, Zagurski C, Wilson KE, Porter GC, Johnson G, Estabrooks PA. Reach and Weight Loss Among Comparison Group Participants Who Enrolled in the Active Intervention After a Diabetes Prevention Trial. Prev Chronic Dis 2024; 21:E40. [PMID: 38843118 PMCID: PMC11192497 DOI: 10.5888/pcd21.230358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/23/2024] Open
Abstract
We examined participation rates, engagement, and weight-loss outcomes of comparison group participants in a diabetes prevention trial who enrolled in a digitally delivered diabetes prevention program (ie, an active intervention) after the original trial ended. We evaluated these outcomes by using the Wilcoxon signed-rank test and 1-sample z test. We found a high participation rate (73%) among comparison group participants and comparable weight-loss outcomes at 12 months (6.8 lb) after initiating participation in the active intervention relative to intervention group participants during the original trial. Findings support providing evidence-based interventions for comparison or control group participants post-trial. Findings also support examining the cost-effectiveness of post-trial interventions, regardless of the limitations of acquiring post-trial data on weight in an uncontrolled setting.
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Affiliation(s)
- Tzeyu L Michaud
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha
- Center for Reducing Health Disparities, College of Public Health, University of Nebraska Medical Center, Omaha
- Department of Health Promotion, 986075 Nebraska Medical Center, Omaha, NE 68198
| | - Cleo Zagurski
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha
| | - Kathryn E Wilson
- Department of Kinesiology and Health, College of Education & Human Development, Georgia State University, Atlanta
- Center for the Study of Stress, Trauma, and Resilience, College of Education and Human Development, Georgia State University, Atlanta
| | - Gwenndolyn C Porter
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha
| | - George Johnson
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha
| | - Paul A Estabrooks
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City
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Nguyen V, Ara P, Simmons D, Osuagwu UL. The Role of Digital Health Technology Interventions in the Prevention of Type 2 Diabetes Mellitus: A Systematic Review. Clin Med Insights Endocrinol Diabetes 2024; 17:11795514241246419. [PMID: 38779330 PMCID: PMC11110501 DOI: 10.1177/11795514241246419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 03/26/2024] [Indexed: 05/25/2024] Open
Abstract
Objectives Diabetes in the 21st century presents one of the greatest burdens of disease on the global population. Digitally mediated interventions have become imperative in alleviating this disease epidemic. We aimed to systematically review randomized controlled trials (RCTs) on different health technologies for preventing Type 2 diabetes mellitus, and their efficacy in decreasing diabetes risk-related outcomes in at-risk patients in comparison to standard care. Methods Five electronic databases were searched between October 2021 and December 2022. Studies including digital health technology interventions used for preventing diabetes development by reducing diabetes risk-related outcomes in at-risk adults (⩾18 years) were identified. Data on glycemic levels, incidence of T2DM, weight, and intervention descriptions were extracted, and the risk of bias (ROB) was assessed. Results Nine studies met the inclusion criteria and 5 studies (56%) achieved clinically significant outcomes in at least one of the following: decreased weight (22%), glycemic levels (22%), or incidence of T2DM (11%). Two of the 3 (67%) computer-based interventions effectively reduced the HbA1c levels and mean weight of their study population, and 3 of 6 (50%) mobile based interventions (text messages, mobile app, and telehealth) decreased the incidence of T2DM and HbA1c levels. Four studies each had an overall low ROB and one had a high ROB due to attrition. Conclusion Preliminary evidence identified in our review demonstrated that health technologies for diabetes prevention are effective for improving diabetes risk-related outcomes. Future research into digital technology protocol and studies of longer duration and more diverse populations are needed for clinical feasibility.
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Affiliation(s)
- Vivien Nguyen
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
| | - Paige Ara
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
| | - David Simmons
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
- Translational Health Research Institute, Western Sydney University, NSW, Australia
| | - Uchechukwu Levi Osuagwu
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
- Translational Health Research Institute, Western Sydney University, NSW, Australia
- Bathurst Rural Clinical School (BRCS), School of Medicine, Western Sydney University, Bathurs, NSW, Australia
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Abusamaan MS, Ballreich J, Dobs A, Kane B, Maruthur N, McGready J, Riekert K, Wanigatunga AA, Alderfer M, Alver D, Lalani B, Ringham B, Vandi F, Zade D, Mathioudakis NN. Effectiveness of artificial intelligence vs. human coaching in diabetes prevention: a study protocol for a randomized controlled trial. Trials 2024; 25:325. [PMID: 38755706 PMCID: PMC11100129 DOI: 10.1186/s13063-024-08177-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/14/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Prediabetes is a highly prevalent condition that heralds an increased risk of progression to type 2 diabetes, along with associated microvascular and macrovascular complications. The Diabetes Prevention Program (DPP) is an established effective intervention for diabetes prevention. However, participation in this 12-month lifestyle change program has historically been low. Digital DPPs have emerged as a scalable alternative, accessible asynchronously and recognized by the Centers for Disease Control and Prevention (CDC). Yet, most digital programs still incorporate human coaching, potentially limiting scalability. Furthermore, existing effectiveness results of digital DPPs are primarily derived from per protocol, longitudinal non-randomized studies, or comparisons to control groups that do not represent the standard of care DPP. The potential of an AI-powered DPP as an alternative to the DPP is yet to be investigated. We propose a randomized controlled trial (RCT) to directly compare these two approaches. METHODS This open-label, multicenter, non-inferiority RCT will compare the effectiveness of a fully automated AI-powered digital DPP (ai-DPP) with a standard of care human coach-based DPP (h-DPP). A total of 368 participants with elevated body mass index (BMI) and prediabetes will be randomized equally to the ai-DPP (smartphone app and Bluetooth-enabled body weight scale) or h-DPP (referral to a CDC recognized DPP). The primary endpoint, assessed at 12 months, is the achievement of the CDC's benchmark for type 2 diabetes risk reduction, defined as any of the following: at least 5% weight loss, at least 4% weight loss and at least 150 min per week on average of physical activity, or at least a 0.2-point reduction in hemoglobin A1C. Physical activity will be objectively measured using serial actigraphy at baseline and at 1-month intervals throughout the trial. Secondary endpoints, evaluated at 6 and 12 months, will include changes in A1C, weight, physical activity measures, program engagement, and cost-effectiveness. Participants include adults aged 18-75 years with laboratory confirmed prediabetes, a BMI of ≥ 25 kg/m2 (≥ 23 kg/m2 for Asians), English proficiency, and smartphone users. This U.S. study is conducted at Johns Hopkins Medicine in Baltimore, MD, and Reading Hospital (Tower Health) in Reading, PA. DISCUSSION Prediabetes is a significant public health issue, necessitating scalable interventions for the millions affected. Our pragmatic clinical trial is unique in directly comparing a fully automated AI-powered approach without direct human coach interaction. If proven effective, it could be a scalable, cost-effective strategy. This trial will offer vital insights into both AI and human coach-based behavioral change strategies in real-world clinical settings. TRIAL REGISTRATION ClinicalTrials.gov NCT05056376. Registered on September 24, 2021, https://clinicaltrials.gov/study/NCT05056376.
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Affiliation(s)
- Mohammed S Abusamaan
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeromie Ballreich
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Adrian Dobs
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brian Kane
- Tower Health Medical Group Family Medicine, Reading, PA, USA
| | - Nisa Maruthur
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John McGready
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kristin Riekert
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Amal A Wanigatunga
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Defne Alver
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin Lalani
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Benjamin Ringham
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fatmata Vandi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Zade
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nestoras N Mathioudakis
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Stowell M, Dobson R, Garner K, Baig M, Nehren N, Whittaker R. Digital interventions for self-management of prediabetes: A scoping review. PLoS One 2024; 19:e0303074. [PMID: 38728296 PMCID: PMC11086829 DOI: 10.1371/journal.pone.0303074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 04/18/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Rates of prediabetes, which can lead to type 2 diabetes, are increasing worldwide. Interventions for prediabetes mainly focus on lifestyle changes to diet and exercise. While these interventions are effective, they are often delivered face-to-face, which may pose a barrier to those with limited access to healthcare. Given the evidence for digital interventions addressing other noncommunicable diseases, these may also be effective for prediabetes self-management. The aim of this scoping review was to assess the breadth of evidence around digital interventions for prediabetes self-management. METHODS We developed a targeted search strategy and relevant studies were identified through searches conducted in four bibliographic databases (Medline, Embase, PsycInfo, and Scopus). Published studies were eligible if they included a digital intervention to support adults aged 18+ with prediabetes self-management. Titles and abstracts were first screened for relevance by one researcher. Full texts of selected records were assessed against the review criteria independently by two researchers for inclusion in the final analysis. RESULTS Twenty-nine studies were included, of which nine were randomised controlled trials. Most efficacy studies reported significant changes in at least one primary and/or secondary outcome, including participants' glycaemic control, weight loss and/or physical activity levels. About one-third of studies reported mixed outcomes or early significant outcomes that were not sustained at long-term follow-up. Interventions varied in length, digital modalities, and complexity. Delivery formats included text messages, mobile apps, virtually accessible dietitians/health coaches, online peer groups, and web-based platforms. Approximately half of studies assessed participant engagement/acceptability outcomes. CONCLUSION Whilst the evidence here suggests that digital interventions to support prediabetes self-management are acceptable and have the potential to reduce one's risk of progression to type 2 diabetes, more research is needed to understand which interventions, and which components specifically, have the greatest reach to diverse populations, are most effective at promoting user engagement, and are most effective in the longer term.
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Affiliation(s)
- Melanie Stowell
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | - Rosie Dobson
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
- Institute for Innovation and Improvement, Te Whatu Ora Waitematā, Auckland, New Zealand
| | - Katie Garner
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
| | | | | | - Robyn Whittaker
- National Institute for Health Innovation, University of Auckland, Auckland, New Zealand
- Institute for Innovation and Improvement, Te Whatu Ora Waitematā, Auckland, New Zealand
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Lee H, Choi EH, Shin JU, Kim TG, Oh J, Shin B, Sim JY, Shin J, Kim M. The Impact of Intervention Design on User Engagement in Digital Therapeutics Research: Factorial Experiment With a Mixed Methods Study. JMIR Form Res 2024; 8:e51225. [PMID: 38335015 PMCID: PMC10891489 DOI: 10.2196/51225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 12/08/2023] [Accepted: 12/22/2023] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND User engagement is crucial for digital therapeutics (DTx) effectiveness; due to variations in the conceptualization of engagement and intervention design, assessment and retention of engagement remain challenging. OBJECTIVE We investigated the influence of the perceived acceptability of experimental intervention components and satisfaction with core intervention components in DTx on user engagement, while also identifying potential barriers and facilitators to user engagement. METHODS We conducted a mixed methods study with a 2 × 2 factorial design, involving 12 outpatients with atopic dermatitis. Participants were randomized into 4 experimental groups based on push notification ("basic" or "advanced") and human coach ("on" or "off") experimental intervention components. All participants engaged in self-monitoring and learning courses as core intervention components within an app-based intervention over 8 weeks. Data were collected through in-app behavioral data, physician- and self-reported questionnaires, and semistructured interviews assessed at baseline, 4 weeks, and 8 weeks. Descriptive statistics and thematic analysis were used to evaluate user engagement, perceived acceptability of experimental intervention components (ie, push notification and human coach), satisfaction with core intervention components (ie, self-monitoring and learning courses), and intervention effectiveness through clinical outcomes. RESULTS The primary outcome indicated that group 4, provided with "advanced-level push notifications" and a "human coach," showed higher completion rates for self-monitoring forms and learning courses compared to the predetermined threshold of clinical significance. Qualitative data analysis revealed three key themes: (1) perceived acceptability of the experimental intervention components, (2) satisfaction with the core intervention components, and (3) suggestions for improvement in the overall intervention program. Regarding clinical outcomes, the Perceived Stress Scale and Dermatology Life Quality Index scores presented the highest improvement in group 4. CONCLUSIONS These findings will help refine the intervention and inform the design of a subsequent randomized trial to test its effectiveness. Furthermore, this design may serve as a model for broadly examining and optimizing overall engagement in DTx and for future investigation into the complex relationship between engagement and clinical outcomes. TRIAL REGISTRATION Clinical Research Information Service KCT0007675; http://tinyurl.com/2m8rjrmv.
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Affiliation(s)
- Hyerim Lee
- Department of Psychology, College of Liberal Arts, Yonsei University, Seoul, Republic of Korea
| | - Eung Ho Choi
- Department of Dermatology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Jung U Shin
- Department of Dermatology, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Tae-Gyun Kim
- Department of Dermatology, Severance Hospital, Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jooyoung Oh
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Bokyoung Shin
- Department of Integrative Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung Yeon Sim
- Department of Medical Device Engineering and Management, Yonsei University Graduate School, Seoul, Republic of Korea
| | - Jaeyong Shin
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Meelim Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
- The Design Lab, University of California San Diego, San Diego, CA, United States
- Center for Wireless & Population Health Systems, Calit2's Qualcomm Institute, University of California San Diego, San Diego, CA, United States
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LaPointe S, Merrill M. Weight loss and lifestyle change among high-risk individuals enrolled in a digital diabetes prevention program: A longitudinal study of private and public health insurance members in Western New York. Prev Med Rep 2023; 36:102507. [PMID: 38116260 PMCID: PMC10728453 DOI: 10.1016/j.pmedr.2023.102507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 12/21/2023] Open
Abstract
Weight loss is critical to reduce diabetes risk. Diabetes Prevention Programs (DPPs) are effective for weight loss, although less is known about digital DPPs. This study explores the association between Brook+, a 52-week digital DPP, and weight loss. This longitudinal observational study uses a sample of 5,516 private, Medicare, and Medicaid health insurance members from Western New York enrolled into Brook+ between December 2020 and December 2022. We used multivariable generalized linear regression models to estimate the association between completion of the Brook+ program, overall and stratified by health insurance type, and 5% weight loss using odds ratios (OR) and 95% confidence intervals (CI), adjusted for age and gender. We also estimated average weight loss from baseline associated with high engagement with the program using adjusted linear regression models. In the pooled sample, those who completed the Brook + program had 21% increased odds of 5% weight loss (OR = 1.21 95% CI: (1.02 - 1.44)). Among users enrolled in private, Medicare, and Medicaid health insurance, program completion was associated with 21%, 33%, and 13% increased odds of 5% weight loss, compared to those who did not complete Brook+. Interacting with health coaches, increased physical activity, and meal logging were all significant predictors of weight loss. Our results suggest that digital DPPs are promising for large-scale diabetes prevention via weight loss and lifestyle change.
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Affiliation(s)
- Sarah LaPointe
- Department of Epidemiology, Rollins School of Public Health, Emory University, GA, USA
- Research Department, Brook, Inc., Seattle, WA, USA
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Shakya P, Shrestha A, Bajracharya M, Shrestha A, Kulseng BE, Karmacharya BM, Shrestha S, Das S, Shrestha IB, Barun K, Shrestha N, Skovlund E, Sen A. Effectiveness of a group-based Diabetes Prevention Education Program (DiPEP) in a population with pre-diabetes: a cluster randomised controlled trial in Nepal. BMJ Nutr Prev Health 2023; 6:253-263. [PMID: 38264365 PMCID: PMC10800278 DOI: 10.1136/bmjnph-2023-000702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/20/2023] [Indexed: 01/25/2024] Open
Abstract
Background Although several lifestyle intervention studies have been conducted in low/middle-income countries, there were no such studies in Nepal. Therefore, a group-based culturally tailored Diabetes Prevention Education Program (DiPEP) was conducted recently. The study aimed to evaluate the effect of DiPEP in glycated haemoglobin (HbA1c), weight, waist circumference, physical activity and diet among population with pre-diabetes. Method A two-arm cluster randomised controlled trial was conducted in 12 clusters of two urban areas in Nepal. The DiPEP was a 6 month intervention (four 1-hour weekly educational sessions and 5 months of follow-up by community health workers/volunteers (CHW/Vs)). A postintervention assessment was done after 6 months. Linear mixed model was used to estimate the mean difference in primary outcome (HbA1c) and secondary outcomes (weight, waist circumference, physical activity and diet) between intervention and control arms, adjusted for baseline measure. Results In intention-to-treat analysis with a total of 291 participants, the estimated mean difference in HbA1c was found to be 0.015 percentage point (95% CI -0.074 to 0.104) between the intervention arm and the control arm, while it was -0.077 (95% CI -0.152 to -0.002) among those who attended at least 3 out of 4 educational sessions. The estimated mean difference in weight (in participants who attended ≥1 educational session) was -1.6 kg (95% CI -3.1 to -0.1). A significantly lower grain consumption was found in intervention arm (-39 g/day, 95% CI -65 to -14) compared with the control arm at postintervention assessment. Conclusion Although compliance was affected by COVID-19, individuals who participated in ≥3 educational sessions had significant reduction in HbA1c and those who attended ≥1 educational session had significant weight reduction. Grain intake was significantly reduced among the intervention arm than the control arm. Hence, group-based lifestyle intervention programmes involving CHW/vs is recommended for diabetes prevention. Trial registration number NCT04074148.
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Affiliation(s)
- Pushpanjali Shakya
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Archana Shrestha
- Department of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
- Institute for Implementation Science and Health, Kathmandu, Bagmati Province, Nepal
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Monish Bajracharya
- Department of Business and IT, University of South-Eastern Norway, Bo, Norway
| | - Abha Shrestha
- Department of Community Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Bagmati Province, Nepal
| | - Bård Erik Kulseng
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Biraj Man Karmacharya
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
| | - Smriti Shrestha
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- ECA College of Health Sciences, Sydney, New South Wales, Australia
| | - Seema Das
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
| | - Ishwori Byanju Shrestha
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
| | - Krishnaa Barun
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- Department of Public Health, Nobel College, Pokhara University, Kathmandu, Bagmati Province, Nepal
| | - Nistha Shrestha
- Department of Physiotherapy, Kathmandu University School of Medical Sciences, Dhulikhel, Bagmati Province, Nepal
- Epidemiology and Disease Control Division, Department of Health Services, Government of Nepal Ministry of Health and Population, Kathmandu, Bagmati Province, Nepal
| | - Eva Skovlund
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Abhijit Sen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Centre for Oral Health Services and Research (TkMidt), Trondheim, Norway
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9
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Madrigal L, Haardörfer R, Kegler MC, Piper S, Blais LM, Weber MB, Escoffery C. Patterns of Sustainability Capacity Among Organizations That Deliver the National Diabetes Prevention Program: A Latent Profile Analysis. Prev Chronic Dis 2023; 20:E91. [PMID: 37824699 PMCID: PMC10599327 DOI: 10.5888/pcd20.230067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023] Open
Abstract
INTRODUCTION Since the launch of the National Diabetes Prevention Program (DPP) in 2010, more than 3,000 organizations have registered with the Centers for Disease and Control and Prevention to deliver the program; today, however, only approximately 2,000 organizations are registered, indicating challenges with sustainability. We used the Program Sustainability Assessment Tool (PSAT) to explore patterns of sustainability capacity among National DPP delivery organizations. METHODS We used data from a cross-sectional online survey conducted in August and September 2021 of staff members (N = 440) at National DPP delivery organizations. We conducted a latent profile analysis to identify latent subpopulations on the basis of respondent PSAT domain scores. Regression analyses were used to estimate associations between derived latent classes, PSAT scores, and respondent characteristics. RESULTS The 4-class model included 4 groups of capacity for program sustainability, ranging from low to high: low (class 1) with 8.0% of the sample, medium-low (class 2) with 22.0%, medium-high (class 3) with 41.6%, and high (class 4) with 28.4%. Program evaluation (mean score = 5.1 [SD = 1.4]) and adaptation (mean score = 5.3 [SD = 1.3]) were the domains with the highest scores, while funding stability (mean score = 4.0 [SD = 1.6]) and Partnerships (mean score = 4.0 [SD = 1.7]) had the lowest scores. In our sample of National DPP delivery organizations, most reported relatively high capacity for program sustainability, and key indicators associated with sustainability capacity were virtual delivery, location of delivery, funding sources, and organization type. DISCUSSION Similar to sustainability capacity findings from other PSAT studies, our study found that funding stability and partnerships are areas to strengthen. This insight is useful in sustainability planning at organizational and national levels across multiple programs.
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Affiliation(s)
- Lillian Madrigal
- Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA, 30322
| | | | | | - Sarah Piper
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Linelle M Blais
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Mary Beth Weber
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Cam Escoffery
- Rollins School of Public Health, Emory University, Atlanta, Georgia
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10
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Geurts KAM, Ozcan B, van Hoek M, van de Laar R, van Teeffelen J, van Rosmalen J, van Rossum EFC, Berk KA. The (cost) effectiveness of a very low-energy diet intervention with the use of eHealth in patients with type 2 diabetes and obesity: study protocol for a randomised controlled non-inferiority trial (E-diet trial). Trials 2023; 24:642. [PMID: 37798620 PMCID: PMC10557281 DOI: 10.1186/s13063-023-07620-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 09/04/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Despite preventive measures, the number of people with type 2 diabetes and obesity is increasing. Obesity increases morbidity and mortality in people with type 2 diabetes, making weight loss a cornerstone of treatment. We previously developed a very low energy diet (VLED) intervention that effectively reduced weight in people with type 2 diabetes in the long term. However, this intervention requires considerable time and manpower, which reduces the number of people who can benefit from it. eHealth offers more efficient solutions but has proven to be less effective than face-to-face interventions. Therefore, we want to investigate whether a blended version of our VLED intervention (in which face-to-face contact is partly replaced by an eHealth (mobile) application (E-VLED)) would be more cost-effective than the current face-to-face intervention. METHODS We will conduct a randomised, controlled trial with non-inferiority design in patients with type 2 diabetes and obesity (BMI > 30 kg/m2), aged 18-75 years. The control group will receive the usual care VLED intervention, while the intervention group will receive the E-VLED intervention for 1 year, where face-to-face contact will be partly replaced by an eHealth (mobile) application. The main study endpoint is the difference in weight (% change) between the control and intervention group after 1 year, plus the difference between the total costs (euro) of the treatment in the control and intervention groups. The secondary aims are to investigate the effectiveness of the E-VLED diet intervention regarding cardiovascular risk factors, quality of life, patient satisfaction, compliance, and to study whether there is a difference in effectiveness in pre-specified subgroups. General linear models for repeated measurements will be applied for the statistical analysis of the data. DISCUSSION We hypothesise that the E-VLED intervention will be equally effective compared to the usual care VLED but lower in costs due to less time invested by the dietician. This will enable to help more people with type 2 diabetes and obesity to effectively lose weight and improve their health-related quality of life. TRIAL REGISTRATION Netherlands Trial Register, NL7832, registered on 26 June 2019.
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Affiliation(s)
- Karlijn A M Geurts
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Behiye Ozcan
- Department of Internal Medicine, Division of Diabetology and Division of Vascular Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Division of Diabetology and Division of Vascular Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Roel van de Laar
- Department of Internal Medicine, Ikazia Hospital, Montessoriweg 1, 3083 AN, Rotterdam, The Netherlands
| | - Jolande van Teeffelen
- Dietician Practice Health Risk Control, Henk Speksnijderstraat 27, 3067 AC, Rotterdam, The Netherlands
| | - Joost van Rosmalen
- Department of Biostatistics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Elisabeth F C van Rossum
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Division of Endocrinology, Obesity Center CGG, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Kirsten A Berk
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
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11
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Severino P, Prosperi S, D'Amato A, Cestiè C, Myftari V, Maestrini V, Birtolo LI, Filomena D, Mariani MV, Lavalle C, Badagliacca R, Mancone M, Fedele F, Vizza CD. Telemedicine: an Effective and Low-Cost Lesson From the COVID-19 Pandemic for the Management of Heart Failure Patients. Curr Heart Fail Rep 2023; 20:382-389. [PMID: 37665424 PMCID: PMC10589137 DOI: 10.1007/s11897-023-00624-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/09/2023] [Indexed: 09/05/2023]
Abstract
PURPOSE The purpose of this review is to explore the benefits and controversies that telemedicine (TM), applied to patients with heart failure (HF), can provide in terms of diagnosis, therapeutic management, and prognosis improvement. During the coronavirus disease 19 (COVID-19) outbreak, TM emerged as the most effective and feasible method available to ensure continuous care for chronic diseases. Among these, HF, characterized by high mortality, morbidity, and the need for frequent visits, may benefit of the TM role. HF patients are affected by frequent exacerbations undergoing a progressive prognosis impoverishment, strongly depending on the disease's management. A precise clinical handling is always required, with a constant optimization of the therapy, a continuous control of risk factors, and a sensitive attention to any change in symptoms, clinical signs, and laboratory tests. In this context, TM has shown to improve therapy adherence and HF: patients' self-care, impacting the prognosis even if specific results are controversial. Major evidence shows that TM may allow an adequate primary prevention, reducing the impact of the main cardiovascular risk factors. TM can also be useful for the secondary prevention, early detecting a likely HF exacerbation before it becomes clinically manifest, thereby lowering the need for hospitalization. Moreover, an optimal up-titration of the therapy and an increase in treatment adherence are feasible by using TM. However, some studies did not show unambiguous results, and uncertainties still remain.
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Affiliation(s)
- Paolo Severino
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy.
| | - Silvia Prosperi
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Andrea D'Amato
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Claudia Cestiè
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Vincenzo Myftari
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Viviana Maestrini
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Lucia Ilaria Birtolo
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Domenico Filomena
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Marco Valerio Mariani
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Carlo Lavalle
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Roberto Badagliacca
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Massimo Mancone
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Francesco Fedele
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
| | - Carmine Dario Vizza
- Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161, Rome, Italy
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12
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Kempf K, Dubois C, Arnold M, Amelung V, Leppert N, Altin S, Vomhof M, Icks A, Martin S. Effectiveness of the Telemedical Lifestyle Intervention Program TeLIPro for Improvement of HbA 1c in Type 2 Diabetes: A Randomized-Controlled Trial in a Real-Life Setting. Nutrients 2023; 15:3954. [PMID: 37764738 PMCID: PMC10534832 DOI: 10.3390/nu15183954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
The effectiveness of the multimodal Telemedical Lifestyle Intervention Program (TeLIPro) was proven in the advanced stages of type 2 diabetes mellitus (T2DM). Since its therapeutic potential focusing on telemedical coaching without using a formula diet is unknown, we evaluated improvements in HbA1c, HbA1c normalisation rate, cardiometabolic risk factors, quality-of-life, and eating behaviour in real life. In this randomized-controlled trial, AOK Rhineland/Hamburg insured T2DM patients (n = 1163) were randomized (1:1) into two parallel groups, and 817 received the allocated intervention. In addition to routine care, all participants got scales, step counters, and access to an online portal. The TeLIPro group additionally received equipment for self-monitoring of blood glucose and telemedical coaching. Data were collected at baseline, after 6 and 12 months of intervention as well as after a 6-month follow-up. The primary endpoint after 12 months was (i) the estimated treatment difference (ETD) in HbA1c change and (ii) the HbA1c normalisation rate in those with diabetes duration < 5 years. The TeLIPro group demonstrated significantly stronger improvements in HbA1c (ETD -0.4% (-0.5; -0.2); p < 0.001), body weight, body-mass-index, quality-of-life, and eating behaviour, especially in T2DM patients with diabetes duration ≥ 5 years (ETD -0.5% (-0.7; -0.3); p < 0.001). The HbA1c normalisation rate did not significantly differ between groups (25% vs. 18%). Continuous addition of TeLIPro to routine care is effective in improving HbA1c and health-related lifestyle in T2DM patients with longer diabetes duration in real life.
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Affiliation(s)
- Kerstin Kempf
- West-German Centre of Diabetes and Health, Düsseldorf Catholic Hospital Group, 40591 Düsseldorf, Germany;
| | - Clara Dubois
- inav—Private Institute for Applied Health Services Research GmbH, 10117 Berlin, Germany; (C.D.); (M.A.); (V.A.)
| | - Matthias Arnold
- inav—Private Institute for Applied Health Services Research GmbH, 10117 Berlin, Germany; (C.D.); (M.A.); (V.A.)
| | - Volker Amelung
- inav—Private Institute for Applied Health Services Research GmbH, 10117 Berlin, Germany; (C.D.); (M.A.); (V.A.)
| | - Nora Leppert
- German Institute for Telemedicine and Healthcare (DITG) GmbH, 40591 Düsseldorf, Germany;
| | - Sibel Altin
- General Health Insurance Scheme (AOK Rheinland/Hamburg—Die Gesundheitskasse), 40213 Düsseldorf, Germany;
| | - Markus Vomhof
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany; (M.V.); (A.I.)
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Andrea Icks
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany; (M.V.); (A.I.)
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Stephan Martin
- West-German Centre of Diabetes and Health, Düsseldorf Catholic Hospital Group, 40591 Düsseldorf, Germany;
- Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
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13
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Teo JYC, Ramachandran HJ, Jiang Y, Seah CWA, Lim ST, Nguyen HD, Wang W. The characteristics and acceptance of Technology-Enabled diabetes prevention programs (t-DPP) amongst individuals with prediabetes: A scoping review. J Clin Nurs 2023; 32:5562-5578. [PMID: 36775886 DOI: 10.1111/jocn.16649] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/04/2023] [Accepted: 01/10/2023] [Indexed: 02/14/2023]
Abstract
AIM AND OBJECTIVE As rising global prevalence of diabetes burdens an overstrained healthcare system, it would be prudent to employ primary prevention strategies. This review aims to detail characteristics of technology-enabled diabetes prevention programs (t-DPP) and the technology acceptance amongst prediabetic individuals. DESIGN A scoping review. REVIEW METHODS Summative and direct content analysis. DATA SOURCES Seven electronic databases-PubMed, Cochrane, Embase, CINAHL, Scopus, PsycINFO and Web of Science-were searched from inception till 9 June 2022 for primary studies conducted on t-DPP. Initial search identified 2412 unique articles. Removal of duplicates and irrelevant articles resulted in 58 full text articles screened and 17 articles meeting the eligibility criteria. There was no limitation to study type or year of publication, but language was limited to English. RESULTS Common t-DPP characteristics include physical activity (n = 17), diet control (n = 16), coaching (n = 12), social support (n = 9) and skills acquisition (n = 12). Technological acceptance of t-DPPs were generally positive as participants found them useful (n = 5) and easy to use (n = 4), with majority of the participants interested (n = 5) and engaging well with it (n = 13). However, personal-, design- and technological-level factors were found to negatively influence t-DPPs acceptance. CONCLUSION This review reported a generally positive technological acceptance. The result encourages remote delivery of diabetes prevention programs, offering researchers a guide to t-DPP development. However, it also highlights the need for integration of behavioural change theories and socio-cultural considerations, with gaps in knowledge amongst men and young adults. IMPLICATIONS FOR NURSING The success of t-DPP can reinforce clinical advice and sustain health behaviours advocated by nurses. Involvement of diabetes-trained nurses would enable continual risk assessment, monitoring and timely intervention to prevent diabetes and potential complications. REPORTING METHOD PRISMA-ScR checklist.
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Affiliation(s)
- Jun Yi Claire Teo
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Hadassah Joann Ramachandran
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Ying Jiang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Chuen Wei Alvin Seah
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
| | - Suan Tee Lim
- Advanced Practice Nurse, National University Hospital, National University Health System, Singapore City, Singapore
| | - Hoang D Nguyen
- School of Computing Science and Information Technology, University College Cork - National University of Ireland, Cork, Ireland
| | - Wenru Wang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
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Geurts KAM, Woodcock-Nekeman S, Hummel M, Dietvorst CAW, van Rossum EFC, Berk KA. The Effect of Including eHealth in Dietary Interventions for Patients with Type 2 Diabetes with Overweight or Obesity: A Systematic Review. Nutrients 2023; 15:3776. [PMID: 37686808 PMCID: PMC10490324 DOI: 10.3390/nu15173776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/11/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023] Open
Abstract
eHealth has a growing impact on the delivery of healthcare, making health systems more efficient. This study examined the effect of dietary interventions using eHealth compared to face-to-face contact in patients with (pre-) type 2 diabetes (T2D) and who are overweight/obese. Literature databases were searched upon November 2022. Inclusion criteria: randomized controlled trial; duration ≥ 6 months; involving dietary interventions; performed in adults with (pre-) T2D and who are overweight/obese; using eHealth compared to face-to-face contact; and report outcomes on weight loss, glycemic regulation, and/or cost-effectiveness. Selection of articles was performed manually and using ASReviewLab. Fifteen studies were included for data extraction, investigating a wide variety of eHealth interventions. Seven studies reporting on weight loss showed a significant between-group difference (-1.18 to -5.5 kg); five studies showed a trend in favor of the eHealth programs. Eleven studies reported on HbA1c; three found a significant between-group difference (-0.23 to -0.70%) in favor of the eHealth programs and six studies showed non-significant improvements. Interaction with healthcare professionals led to better results of the dietary interventions. Two studies reported incomplete data on cost-effectiveness. In conclusion, eHealth shows better results of dietary interventions in (pre-) T2D patients compared to face-to-face, especially when combined with interaction with healthcare professionals.
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Affiliation(s)
- Karlijn A. M. Geurts
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Centre Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands; (K.A.M.G.); (S.W.-N.); (C.A.W.D.)
| | - Sandra Woodcock-Nekeman
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Centre Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands; (K.A.M.G.); (S.W.-N.); (C.A.W.D.)
| | - Mitchell Hummel
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Centre Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands; (K.A.M.G.); (S.W.-N.); (C.A.W.D.)
| | - Carmen A. W. Dietvorst
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Centre Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands; (K.A.M.G.); (S.W.-N.); (C.A.W.D.)
| | - Elisabeth F. C. van Rossum
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, University Medical Centre Rotterdam, 3015 GD Rotterdam, The Netherlands;
- Obesity Center CGG, Erasmus MC, University Medical Centre Rotterdam, 3015 GD Rotterdam, The Netherlands
| | - Kirsten A. Berk
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Centre Rotterdam, Doctor Molewaterplein 40, 3015 GD Rotterdam, The Netherlands; (K.A.M.G.); (S.W.-N.); (C.A.W.D.)
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15
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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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Yeh MC, Lau W, Keady CA, Horlyck-Romanovsky M, Tung HJ, Hu L, Ma GX, Wylie-Rosett J. Evaluation of feasibility and acceptability of a web-based diabetes prevention program (DPP) for diabetes risk reduction in Chinese Americans in New York City. Front Public Health 2023; 11:1199746. [PMID: 37333528 PMCID: PMC10272575 DOI: 10.3389/fpubh.2023.1199746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Intensive lifestyle intervention remains an effective modality to reduce diabetes incidence and delay the progression to type 2 diabetes. The primary aim of this study was to pilot-test the feasibility and acceptability of a culturally and linguistically tailored web-based DPP intervention among Chinese Americans with prediabetes living in New York City. Methods Thirteen Chinese American participants with prediabetes were recruited to complete a 1-year web-based Diabetes Prevention Program (DPP) lifestyle intervention. Quantitative and qualitative measures such as retention rate and data collected from web-based questionnaires and focus groups were collected and analyzed to assess study feasibility and acceptability. Results and Discussion Participants were receptive to the program through high engagement, retention and satisfaction. Retention rate was 85%. 92% of participants completed at least 16 sessions out of 22 sessions. Post-trial surveys indicated high satisfaction of 27.2/32 based on Client Satisfaction Questionnaire (CSQ-8) score. Participants expressed the program increased their knowledge and methods to prevent onset of type 2 diabetes such as incorporating healthy eating habits and increasing physical activities. Although not a primary outcome, there was a significant weight reduction of 2.3% at the end of month 8 of the program (p < 0.05). The culturally and linguistically adapted DPP via online platform successfully demonstrated feasibility and acceptability among Chinese Americans with prediabetes. Further evaluation of the web-based Chinese Diabetes Prevention Program in a larger trial is warranted.
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Affiliation(s)
- Ming-Chin Yeh
- Nutrition Program, School of Urban Public Health, Hunter College, City University of New York, New York, NY, United States
| | - Wincy Lau
- Nutrition Program, School of Urban Public Health, Hunter College, City University of New York, New York, NY, United States
| | - Claire Anselmo Keady
- Nutrition Program, School of Urban Public Health, Hunter College, City University of New York, New York, NY, United States
| | - Margrethe Horlyck-Romanovsky
- Department of Health and Nutrition Sciences, Brooklyn College, City University of Brooklyn, New York, NY, United States
| | - Ho-Jui Tung
- Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, United States
| | - Lu Hu
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States
| | - Grace X. Ma
- Center for Asian Health, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States
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Niu Y, Xi H, Zhu R, Guo Y, Wang S, Xiong X, Wang S, Guo L. Effects of telemedicine-based follow-up management on adults with obstructive sleep apnea: A systematic review and meta-analysis. Int J Med Inform 2023; 176:105108. [PMID: 37269609 DOI: 10.1016/j.ijmedinf.2023.105108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 05/03/2023] [Accepted: 05/20/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVES This meta-analysis aimed to investigate the effects of telemedicine-based follow-up management on adults with obstructive sleep apnea. METHODS Publications were searched in the Cochrane Library, PubMed, Scopus, Web of Science and Embase. Studies were selected according to the predefined screening criteria, and their qualities were assessed by the Revised Cochrane risk-of-bias tool for randomized trials. The statistical analyses were performed using Stata12.0 software. It was registered in PROSPERO with the number: CRD42021276414. RESULTS A total of 33 articles with 8,689 participants were included. Telemedicine-based follow-up management improved average daily continuous positive airway pressure usage by 36 min (weighted mean difference:0.61;95% confidence interval: 0.39 to 0.83), and the percentage of days with continuous positive airway pressure usage more than four hours by 10.67% in obstructive sleep apnea patients. The meta-analysis of good continuous positive airway pressure compliance showed telemedicine-based follow-up management did not lead to good continuous positive airway pressure compliance (odds ratio: 1.13;95% confidence interval: 0.72 to 1.76). The pooled mean difference of sleep quality was 0.15 (standardized mean difference:0.15; 95% confidence interval: -0.03 to 0.32), and daytime sleepiness was -0.26 (weighted mean difference: -0.26;95% confidence interval: -0.79 to 0.28). The pooled mean difference of apnea hypopnea index was -0.53 (95% confidence interval: -3.58 to 2.51). As for the overall quality of life, the pooled mean difference was -0.25 (standardized mean difference: -0.25;95% confidence interval: -0.25 to 0.76). CONCLUSION Telemedicine-based follow-up management was beneficial for continuous positive airway pressure compliance of obstructive sleep apnea patients within six months. However, it could not improve sleep quality, daytime sleepiness, the severity of obstructive sleep apnea, and quality of life in obstructive sleep apnea patients compared with traditional follow-up. Moreover, it was more cost-effective, but there was no consensus on whether it would increase the workload of medical staff.
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Affiliation(s)
- Yirou Niu
- School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, China
| | - Huihui Xi
- School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, China
| | - Ruiting Zhu
- School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, China
| | - Yingze Guo
- School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, China
| | - Shuhan Wang
- School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, China
| | - Xuance Xiong
- Medical College, Beihua University, 3999 Huashan Street, Fengman District, Jilin, Jilin Province, China
| | - Shuang Wang
- Department of Dermatology, Second Hospital of Jilin University, 218 Ziqiang Street, Nanguan District, Changchun, Jilin Province, China.
| | - Lirong Guo
- School of Nursing, Jilin University, 965 Xinjiang Street, Chaoyang District, Changchun, Jilin Province, China.
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Rosta L, Menyhart A, Mahmeed WA, Al-Rasadi K, Al-Alawi K, Banach M, Banerjee Y, Ceriello A, Cesur M, Cosentino F, Firenze A, Galia M, Goh SY, Janez A, Kalra S, Kapoor N, Lessan N, Lotufo P, Papanas N, Rizvi AA, Sahebkar A, Santos RD, Stoian AP, Toth PP, Viswanathan V, Kempler P, Rizzo M. Telemedicine for diabetes management during COVID-19: what we have learnt, what and how to implement. Front Endocrinol (Lausanne) 2023; 14:1129793. [PMID: 37265696 PMCID: PMC10231679 DOI: 10.3389/fendo.2023.1129793] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/28/2023] [Indexed: 06/03/2023] Open
Abstract
The past two decades have witnessed telemedicine becoming a crucial part of health care as a method to facilitate doctor-patient interaction. Due to technological developments and the incremental acquisition of experience in its use, telemedicine's advantages and cost-effectiveness has led to it being recognised as specifically relevant to diabetology. However, the pandemic created new challenges for healthcare systems and the rate of development of digital services started to grow exponentially. It was soon discovered that COVID-19-infected patients with diabetes had an increased risk of both mortality and debilitating sequelae. In addition, it was observed that this higher risk could be attenuated primarily by maintaining optimal control of the patient's glucose metabolism. As opportunities for actual physical doctor-patient visits became restricted, telemedicine provided the most convenient opportunity to communicate with patients and maintain delivery of care. The wide range of experiences of health care provision during the pandemic has led to the development of several excellent strategies regarding the applicability of telemedicine across the whole spectrum of diabetes care. The continuation of these strategies is likely to benefit clinical practice even after the pandemic crisis is over.
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Affiliation(s)
| | - Adrienn Menyhart
- Department of Medicine and Oncology, Semmelweis University, Budapest, Hungary
| | - Wael Al Mahmeed
- Heart and Vascular Institute, Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | | | - Kamila Al-Alawi
- Department of Training and Studies, Royal Hospital, Ministry of Health, Muscat, Oman
| | - Maciej Banach
- Department of Preventive Cardiology and Lipidology , Medical University of Lodz (MUL), Lodz, Poland
- Department of Medicine, Polish Mother’s Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
- Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
| | - Yajnavalka Banerjee
- Department of Biochemistry, Mohammed Bin Rashid University, Dubai, United Arab Emirates
| | - Antonio Ceriello
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Mustafa Cesur
- Clinic of Endocrinology, Ankara Güven Hospital, Ankara, Türkiye
| | - Francesco Cosentino
- Unit of Cardiology, Karolinska Institute and Karolinska University Hospital, University of Stockholm, Stockholm, Sweden
| | - Alberto Firenze
- Unit of Research and International Cooperation, University Hospital of Palermo, Palermo, Italy
| | - Massimo Galia
- Department of Biomedicine, Neurosciences and Advanced Diagnostics (Bind), University of Palermo, Palermo, Italy
| | - Su-Yen Goh
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Andrej Janez
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital, Karnal, India
| | - Nitin Kapoor
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Nader Lessan
- The Research Institute, Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Paulo Lotufo
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, Sao Paulo, Brazil
| | - Nikolaos Papanas
- Diabetes Center, Second Department of Internal Medicine, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Ali A. Rizvi
- Department of Medicine, University of Central Florida College of Medicine, Orlando, FL, United States
| | - Amirhossein Sahebkar
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Raul D. Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil
- Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Anca Pantea Stoian
- Faculty of Medicine, Diabetes, Nutrition and Metabolic Diseases, Carol Davila University, Bucharest, Romania
| | - Peter P. Toth
- Cicarrone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Peter Kempler
- Department of Medicine and Oncology, Semmelweis University, Budapest, Hungary
| | - Manfredi Rizzo
- Department of Biochemistry, Mohammed Bin Rashid University, Dubai, United Arab Emirates
- Faculty of Medicine, Diabetes, Nutrition and Metabolic Diseases, Carol Davila University, Bucharest, Romania
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (Promise), School of Medicine, University of Palermo, Palermo, Italy
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Ross J, Cotterill S, Bower P, Murray E. Influences on Patient Uptake of and Engagement With the National Health Service Digital Diabetes Prevention Programme: Qualitative Interview Study. J Med Internet Res 2023; 25:e40961. [PMID: 36853751 PMCID: PMC10015356 DOI: 10.2196/40961] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 10/04/2022] [Accepted: 10/20/2022] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Digital diabetes prevention programs (digital-DPPs) are being implemented as population-based approaches to type 2 diabetes mellitus prevention in several countries to address problems with the uptake of traditional face-to-face diabetes prevention programs. However, assessments of digital-DPPs have largely focused on clinical outcomes and usability among those who have taken them up, whereas crucial information on decision-making about uptake (eg, whether a user downloads and registers on an app) and engagement (eg, the extent of use of an app or its components over time) is limited. Greater understanding of factors that influence uptake and engagement decisions may support large-scale deployments of digital-DPPs in real-world settings. OBJECTIVE This study aimed to explore the key influences on uptake and engagement decisions of individuals who were offered the National Health Service Healthier You: Digital Diabetes Prevention Programme (NHS-digital-DPP). METHODS A qualitative interview study was conducted using semistructured interviews. Participants were adults, aged ≥18 years, diagnosed with nondiabetic hyperglycemia, and those who had been offered the NHS-digital-DPP. Recruitment was conducted via 4 providers of the NHS-digital-DPP and 3 primary care practices in England. Interviews were conducted remotely and were guided by a theoretically informed topic guide. Analysis of interviews was conducted using an inductive thematic analysis approach. RESULTS Interviews were conducted with 32 participants who had either accepted or declined the NHS-digital-DPP. In total, 7 overarching themes were identified as important factors in both decisions to take up and to engage with the NHS-digital-DPP. These were knowledge and understanding, referral process, self-efficacy, self-identity, motivation and support, advantages of digital service, and reflexive monitoring. Perceptions of accessibility and convenience of the NHS-digital-DPP were particularly important for uptake, and barriers in terms of the referral process and health care professionals' engagement were reported. Specific digital features including health coaches and monitoring tools were important for engagement. CONCLUSIONS This study adds to the literature on factors that influence the uptake of and engagement with digital-DPPs and suggests that digital-DPPs can overcome many barriers to the uptake of face-to-face diabetes prevention programs in supporting lifestyle changes aimed at diabetes prevention.
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Affiliation(s)
- Jamie Ross
- Centre for Primary Care, Wolfson Institute of Population Health Science, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Sarah Cotterill
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
| | - Peter Bower
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
| | - Elizabeth Murray
- E-health Unit, Department of Primary Care and Population Health, University College London, London, United Kingdom
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20
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Clements M, Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technol Ther 2023; 25:S90-S108. [PMID: 36802181 DOI: 10.1089/dia.2023.2506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Affiliation(s)
- Mark Clements
- Children's Mercy Hospital, Kansas City, MO, USA
- University of Missouri-Kansas City, Kansas City, MO, USA
| | - Neal Kaufman
- Fielding School of Public Health, Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Canary Health Inc., Los Angeles, CA, USA
| | - Eran Mel
- Jesse Z. and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
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21
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Samarasinghe SN, Miras AD. Type 2 diabetes prevention goes digital. THE LANCET REGIONAL HEALTH. EUROPE 2022; 24:100538. [PMID: 36643659 PMCID: PMC9832270 DOI: 10.1016/j.lanepe.2022.100538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 10/11/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Suhaniya N.S. Samarasinghe
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom,Corresponding author.
| | - Alexander D. Miras
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom,School of Medicine, Ulster University, Londonderry, United Kingdom
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22
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Jeem YA, Andriani RN, Nabila R, Emelia DD, Lazuardi L, Koesnanto H. The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13638. [PMID: 36294218 PMCID: PMC9603799 DOI: 10.3390/ijerph192013638] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/30/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND There are currently limited systematic reviews of mobile health interventions for middle-aged and elderly patients with prediabetes from trial studies. This review aimed to gather and analyze information from experimental studies investigating the efficacy of mobile health usability for outcomes among middle-aged and elderly patients with prediabetes. METHODS We conducted a literature search in five databases: Clinicaltrials.gov, the International Clinical Trials Registry Platform (ICTRP), PubMed, ProQuest, and EBSCO, with a date range of January 2007 to July 2022 written in English, following a registered protocol on PROSPERO (CRD42022354351). The quality and possibility of bias were assessed using the Jadad score. The data extraction and analysis were conducted in a methodical manner. RESULTS A total of 25 studies were included in the qualitative synthesis, with 19 studies using randomized trial designs and 6 studies with non-randomized designs. The study outcomes were the incidence of diabetes mellitus, anthropometric measures, laboratory examinations, measures of physical activity, and dietary behavior. During long-term follow-up, there was no significant difference between mobile health interventions and controls in reducing the incidence of type 2 diabetes. The findings of the studies for weight change, ≥3% and ≥5% weight loss, body mass index, and waist circumference changes were inconsistent. The efficacy of mobile health as an intervention for physical activity and dietary changes was lacking in conclusion. Most studies found that mobile health lacks sufficient evidence to change hbA1c. According to most of these studies, there was no significant difference in blood lipid level reduction. CONCLUSIONS The use of mobile health was not sufficiently proven to be effective for middle-aged and elderly patients with prediabetes.
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Affiliation(s)
- Yaltafit Abror Jeem
- Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
- Faculty of Medicine, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia
| | - Russy Novita Andriani
- Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
- Faculty of Medicine, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia
| | - Refa Nabila
- Faculty of Medicine, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia
| | - Dwi Ditha Emelia
- Faculty of Medicine, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia
| | - Lutfan Lazuardi
- Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
| | - Hari Koesnanto
- Department of Family and Community Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
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23
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Gorczyca AM, Washburn RA, Smith P, Montgomery RN, Koon LM, Hastert M, Suire KB, Donnelly JE. Feasibility and Comparative Effectiveness for the Delivery of the National Diabetes Prevention Program through Cooperative Extension in Rural Communities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9902. [PMID: 36011535 PMCID: PMC9408158 DOI: 10.3390/ijerph19169902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
The U.S. Cooperative Extension Service (CE) has potential to deliver the National Diabetes Prevention Program (NDPP) to rural residents with prediabetes. However, the CE remains underutilized for the delivery of NDPP. We compared the feasibility/effectiveness of the NDPP (0-6 mos.) delivered by CE personnel to rural residents with prediabetes using Zoom® (CE-Zoom®) or by our research staff using Facebook® (FB). Adults (n = 31, age ~55 years) were enrolled (CE-Zoom® n = 16, FB n = 15). Attendance did not differ significantly between groups (CE Zoom® = 69%, FB = 83%, p = 0.15). Participant retention was similar in the CE Zoom® (88%) and FB groups (87%). CE-Zoom® and FB® groups provided weekly, self-monitoring data for 83% and 84% of the 24 potential weeks, respectively. Six-month weight loss was not different between groups (CE-Zoom® = -5.99 ± 8.0 kg, -5.4%, FB = -1.68 ± 3.3 kg, -1.6% p = 0.13). Participants achieving ≥5% weight loss was greater in the CE-Zoom® (44%) compared with the FB group (7%, p = 0.04). Participants achieving the NDPP program goal for physical activity (≥150 min/week) did not differ (CE-Zoom® = 75%, FB = 67%, p = 0.91). This pilot trial demonstrated the potential feasibility and effectiveness of the NDPP delivered by CE personnel in a group remote format (Zoom®) to adults with prediabetes living in rural areas.
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Affiliation(s)
- Anna M. Gorczyca
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Richard A. Washburn
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Patricia Smith
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Robert N. Montgomery
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Lyndsie M. Koon
- Research and Training Center on Independent Living, University of Kansas, Lawrence, KS 66045, USA
| | - Mary Hastert
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Kameron B. Suire
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Joseph E. Donnelly
- Division of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
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