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Zhang Q, Wei X, Zheng J, Lu Y, Wu Y. Financial incentives in the management of diabetes: a systematic review. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2024; 22:71. [PMID: 39334364 PMCID: PMC11438360 DOI: 10.1186/s12962-024-00579-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
METHODS Web of Science, Cochrane library and PubMed were systematically searched up to January 2024 to identify studies examining the impact of financial incentives on diabetes management in patients. Studies were evaluated based on the robustness of their methodology, participant numbers, and quality scores. The Cochrane risk-of-bias tool was applied for randomized controlled trials, while the Newcastle-Ottawa Scale was used for non-randomized controlled trials to assess study quality. Due to the heterogeneity of the included studies, a narrative synthesis approach was utilized. RESULTS In the study, we included 12 published research studies. Five studies investigated the influence of financial incentives on patient behavior, all demonstrating a significant positive impact on behaviors such as blood glucose monitoring, medication adherence, and physical activity. 10 studies analyzed the impact of financial incentives on HbA1c levels in diabetes patients. Among them, 5 studies reported that financial incentives could improve HbA1c levels through longitudinal historical comparisons. The other 5 studies did not find significant improvements compared to the control group. Three studies explored long-term effects, two studies targeting the adolescent population had no impact, and one study targeting adults had a positive impact. CONCLUSIONS In summary, this review found that financial incentives can positively influence patient behavior and enhance compliance, but their impact on HbA1c levels is inconsistent. Financial incentives may help adult patients maintain behavior even after the withdrawal of incentives.
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Affiliation(s)
- Qingqing Zhang
- Department of Pan-Vascular Management Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, Jiangsu, People's Republic of China
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Hailing District, Taizhou, 225300, Jiangsu, People's Republic of China
| | - Xue Wei
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Hailing District, Taizhou, 225300, Jiangsu, People's Republic of China
| | - Jing Zheng
- Department of Pan-Vascular Management Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, Jiangsu, People's Republic of China
| | - Yu Lu
- Department of Endocrinology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Hailing District, Taizhou, 225300, Jiangsu, People's Republic of China.
| | - Yucheng Wu
- Department of Cardiology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Hailing District, Taizhou, 225300, Jiangsu, People's Republic of China.
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Alshowair A, Altamimi S, Alruhaimi FA, Alshahrani S, Alsuwailem F, Alkhaldi M, Abdalla H, Alkhuraiji FH, Alaqeel MS, Almureef SS, Alhawasy S, Abdel-Azeem A. Cost-Savings Associated with Multi-Disciplinary Team Approach for Reducing Macrovascular and Microvascular Complications in Patients with Type 2 Diabetes: A Predictive Model. CLINICOECONOMICS AND OUTCOMES RESEARCH 2024; 16:211-223. [PMID: 38596283 PMCID: PMC11001564 DOI: 10.2147/ceor.s451739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 03/26/2024] [Indexed: 04/11/2024] Open
Abstract
Purpose This study aims to predict the expected cost savings associated with implementing a multidisciplinary team (MDT) approach to reduce macrovascular and microvascular complications among patients with type 2 diabetes mellitus (T2DM). Methods This economic evaluation study was conducted in Riyadh First Health Cluster, Saudi Arabia as a predictive model conceptualized by the authors based on models used in previous studies, particularly the CORE Diabetes Model. Our model was designed based on 1) the level of glycemic control among 24,755 T2DM patients served by MDTs; 2) the expected incidence of diabetes-related complications without intervention; 3) the predicted risk reduction of developing diabetes-related complications with MDTs. Costs of complications and cost savings were then calculated and expressed as mean incremental annual cost savings adjusted for a 1% reduction in HbA1c, and a 10 mmHg reduction in systolic blood pressure (SBP). Results Along with the expected reduction in all diabetes-related complications, the average incremental cost savings per diabetic patient is predicted to be ($38,878) with approximately ($11,108) in the year of complication onset and ($27,770) over the subsequent post-index 10-years. On adjustment of cost savings, the average incremental cost savings are predicted to be ($22,869) for each 1% reduction in HbA1c per diabetic patient and ($27,770) for every 10 mmHg reduction in SBP per diabetic patient. Conclusion MDT as a model of care is effective in glycemic control among T2DM patients with a predicted significant reduction of all diabetes-related complications and in turn, a predicted significant cost savings.
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Affiliation(s)
- Abdulmajeed Alshowair
- Community Health Excellence, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Saleh Altamimi
- Community Health Excellence, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Faisal A Alruhaimi
- Community Health Excellence, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Saad Alshahrani
- Academic and Training Affairs, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Fatima Alsuwailem
- Population Health Management and Research, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Mona Alkhaldi
- Health Administration Office, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Haiam Abdalla
- Model of Care, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | | | - Montaser Saad Alaqeel
- Financial Affairs, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | | | - Salman Alhawasy
- Reporting Department, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
| | - Amro Abdel-Azeem
- Population Health Management and Research, Riyadh First Health Cluster Ministry of Health, Riyadh, Saudi Arabia
- Department of Community, Environmental and Occupational Medicine, Faculty of Medicine Zagazig University, Zagazig, Egypt
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Whitehouse CR, Knowles M, Long JA, Mitra N, Volpp KG, Xu C, Sabini C, Gerald N, Estrada I, Jones D, Kangovi S. Digital Health and Community Health Worker Support for Diabetes Management: a Randomized Controlled Trial. J Gen Intern Med 2023; 38:131-137. [PMID: 35581452 PMCID: PMC9113615 DOI: 10.1007/s11606-022-07639-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/22/2022] [Indexed: 01/22/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate the effectiveness of a digital health intervention plus community health worker (CHW) support on self-monitoring of blood glucose and glycosylated hemoglobin (HbA1c) among adult Medicaid beneficiaries with diabetes. DESIGN Randomized controlled trial. SETTING Urban outpatient clinic. PARTICIPANTS Adult Medicaid beneficiaries living with diabetes and treated with insulin and who had a HbA1c ≥ 9%. INTERVENTION Participants were randomly assigned to one of three arms. Participants in the usual-care arm received a wireless glucometer if needed. Those in the digital arm received a lottery incentive for daily glucose monitoring. Those in the hybrid arm received the lottery plus support from a CHW if they had low adherence or high blood glucose levels. MAIN MEASURES The primary outcome was the difference in adherence to daily glucose self-monitoring at 3 months between the hybrid and usual-care arms. The secondary outcome was difference in HbA1c from baseline at 6 months. KEY RESULTS A total of 150 participants were enrolled in the study. A total of 102 participants (68%) completed the study. At 3 months, glucose self-monitoring rates in the hybrid versus usual-care arms were 0.72 vs 0.65, p = 0.23. At 6 months, change in HbA1c in the hybrid versus usual-care arms was - 0.74% vs - 0.49%, p = 0.69. CONCLUSION There were no statistically significant differences between the hybrid and usual care in glucose self-monitoring adherence or improvements in HbA1C. TRIAL REGISTRATION This trial is registered with clinicaltrials.gov identifier: NCT03939793.
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Affiliation(s)
- Christina R Whitehouse
- M. Louise Fitzpatrick College of Nursing, Villanova University, 800 E. Lancaster Avenue, Villanova, PA, 19085, USA.
- Clinical Practices of the University of Pennsylvania, Penn Medicine, Philadelphia, PA, USA.
| | - Molly Knowles
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Judith A Long
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Nandita Mitra
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G Volpp
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Chang Xu
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carolyn Sabini
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Norma Gerald
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Irene Estrada
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Denerale Jones
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Shreya Kangovi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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