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Hazime D, Burner E. Social support via Internet communication technology for diabetes self-management: a scoping review. Mhealth 2024; 10:18. [PMID: 38689617 PMCID: PMC11058598 DOI: 10.21037/mhealth-23-34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 01/06/2024] [Indexed: 05/02/2024] Open
Abstract
Background The global prevalence of diabetes has been increasing over the past 30 years, leading to a rise in complications; diabetes is the leading cause of amputations, blindness, and kidney failure in developed countries. Diabetes self-management is challenging due to the complex lifestyle changes required. Social support from family and friends plays a crucial role in overcoming barriers to healthy behavior choices. Integrating Internet and communication technologies with social support interventions has the potential to improve diabetes self-management. Methods A scoping review was conducted by searching PubMed, Ovid, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Association for Computing Machinery (ACM) Digital Library databases for studies combining diabetes, Internet and communication technologies, and social support interventions. Inclusion criteria focused on adult patients with diabetes and primarily Internet and communication technologies-based strategies to initiate and enhance social support. Data abstraction included study population, design, outcomes, social support domains emphasized, support relationship intervention strategy, and Internet and communication technologies modality. Results The review identified 39 articles and 33 unique studies representing 27 unique interventions utilizing peer web forums, interactive voice recordings, messaging-based interventions (including Short Message Service and instant messaging), and email as Internet and communication technologies modalities. Various outcomes were reported, including improvements in perception of social support, psychosocial well-being, behavior changes, and clinical outcomes. Existing support relationships may be more effective in promoting behavior change and clinical outcomes compared to developing new relationships. Studies that explicitly measured patients' perception of support consistently showed improvements in psycho-social, behavioral, and clinical outcomes. Conclusions This scoping review highlights the pivotal role of social support in diabetes self-management. By integrating Internet and communication technologies into interventions, diverse modalities such as web forums and text messaging have shown promise in enhancing patients' perception of support and improving psychosocial well-being, behavior changes, and clinical outcomes. The emphasis on leveraging existing support relationships, rather than establishing new ones, underscores the effectiveness of personalized, patient-centered approaches. These findings provide essential insights for healthcare strategies, emphasizing the need to harness technology and existing social networks to empower individuals in managing diabetes effectively.
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Affiliation(s)
- Danielle Hazime
- Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA
- Cancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Elizabeth Burner
- Department of Emergency Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA
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Chen S, Lu J, Peng D, Liu F, Lu W, Zhu W, Bao Y, Zhou J, Jia W. Incidence rate and risk factors for hypoglycemia among individuals with type 1 diabetes or type 2 diabetes in China receiving insulin treatment. Diabetes Res Clin Pract 2023; 206:110987. [PMID: 37925076 DOI: 10.1016/j.diabres.2023.110987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/17/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
AIMS We investigated the real-world incidence of hypoglycemic events among patients with type 1 or type 2 diabetes (T1DM or T2DM) receiving insulin in routine clinical practice in China. METHODS In this observational study, data were collected electronically via the Lilly Connected Care Program (LCCP) electronic system from adults with T1DM or T2DM who had registered on LCCP between 1 February 2019 and 31 January 2022, had used insulin for a full 12-week period following registration. The following outcomes were assessed during the 12 weeks following registration: incidence of level 1 and level 2 hypoglycemia. RESULTS In total, 22,752 patients were enrolled. Among patients with monitoring data, over the 12-week study period, level 1 and 2 hypoglycemia were experienced by 48.8% and 25.9% of patients with T1DM and 26.5% and 13.9% of patients with T2DM. The proportion of patients treated with oral anti-diabetes drugs (OADs) capable of producing hypoglycemia (sulfonylurea or glinide) was 1.3% in T1DM and 1.6% in T2DM, respectively. Questionnaire data revealed that up to 92.5% of hypoglycemic events occurred outside of hospital and 18.6% were serious. CONCLUSIONS These real-world data collected from Chinese patients with diabetes receiving insulin treatment reveal a relatively high percentage of patients experiencing hypoglycemia, with around one quarter of these events classified as severe and as many as 92.5% occurring outside of a hospital or clinic.
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Affiliation(s)
- Si Chen
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Danfeng Peng
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Fengjing Liu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Wei Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Wei Zhu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai 200233, China.
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Seng JJB, Gwee MFR, Yong MHA, Kwan YH, Thumboo J, Low LL. Role of Caregivers in Remote Management of Patients With Type 2 Diabetes Mellitus: Systematic Review of Literature. J Med Internet Res 2023; 25:e46988. [PMID: 37695663 PMCID: PMC10520771 DOI: 10.2196/46988] [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: 03/04/2023] [Revised: 04/24/2023] [Accepted: 07/31/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND With the growing use of remote monitoring technologies in the management of patients with type 2 diabetes mellitus (T2DM), caregivers are becoming important resources that can be tapped into to improve patient care. OBJECTIVE This review aims to summarize the role of caregivers in the remote monitoring of patients with T2DM. METHODS We performed a systematic review in MEDLINE, Embase, Scopus, PsycINFO, and Web of Science up to 2022. Studies that evaluated the role of caregivers in remote management of adult patients with T2DM were included. Outcomes such as diabetes control, adherence to medication, quality of life, frequency of home glucose monitoring, and health care use were evaluated. RESULTS Of the 1198 identified citations, 11 articles were included. The majority of studies were conducted in North America (7/11, 64%) and South America (2/11, 18%). The main types of caregivers studied were family or friends (10/11, 91%), while the most common remote monitoring modalities evaluated were interactive voice response (5/11, 45%) and phone consultations (4/11, 36%). With regard to diabetes control, 3 of 6 studies showed improvement in diabetes-related laboratory parameters. A total of 2 studies showed improvements in patients' medication adherence rates and frequency of home glucose monitoring. Studies that evaluated patients' quality of life showed mixed evidence. In 1 study, increased hospitalization rates were noted in the intervention group. CONCLUSIONS Caregivers may play a role in improving clinical outcomes among patients with T2DM under remote monitoring. Studies on mobile health technologies are lacking to understand their impact on Asian populations and long-term patient outcomes.
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Affiliation(s)
- Jun Jie Benjamin Seng
- MOH Holding Private Limited, Singapore, Singapore
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Singapore, Singapore
| | | | | | - Yu Heng Kwan
- MOH Holding Private Limited, Singapore, Singapore
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Singapore, Singapore
- Department of Pharmacy, National University of Singapore, Singapore, Singapore
- Program in Health Services and Systems Research, Singapore, Singapore
| | - Julian Thumboo
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Singapore, Singapore
- Program in Health Services and Systems Research, Singapore, Singapore
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore
| | - Lian Leng Low
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Singapore, Singapore
- Department of Family Medicine and Continuing Care, Singapore General Hospital, Singapore, Singapore
- Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
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Nguyen AP, Mai LAT, Spies LA, Carriveau KL. Interventions for family support in cardiometabolic disease: An integrative review. Nurs Open 2023; 10:5797-5812. [PMID: 37212477 PMCID: PMC10415984 DOI: 10.1002/nop2.1858] [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: 01/17/2023] [Revised: 04/17/2023] [Accepted: 05/05/2023] [Indexed: 05/23/2023] Open
Abstract
AIM To evaluate how family support affects cardiometabolic outcomes. DESIGN Integrative literature review. SOURCES PubMed, CINAHL, EMBASE and Scopus were searched for peer-reviewed primary research published between 2016 and 2021. METHODS Independent screening of 1661 citations resulted in 17 international publications involving 16 experimental studies selected. Data were analysed using a constant comparison method. RESULTS While the interventions varied regarding target, duration, setting and the profession of the interventionists, all studies demonstrated some level of the effectiveness for family involvement and support in the management of cardiometabolic diseases. The studies found improvement in health behaviours and clinical/psychosocial outcomes for the patients and the family members. CONCLUSION Based on the findings from this review, we recommend utilizing the following for future family interventions in the management of diabetes and/or hypertension: (1) broader definitions of family and structures; (2) a community participatory/action-research method with embedded healthcare workers; (3) an interdisciplinary approach with attention to goal-setting; (4) multimodal interventions including technology; (5) culturally tailoring interventions for relevance as needed; and (6) clear direction regarding support role and tools.
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Su B, Chen Y, Shen X, Guo J, Ding Y, Ma X, Yang Y, Liu D. Effectiveness of the Lilly Connected Care Program in Improving Glycemic Management Among Patients With Type 2 Diabetes in China: Retrospective Real-world Study. J Med Internet Res 2023; 25:e38680. [PMID: 37097724 PMCID: PMC10170357 DOI: 10.2196/38680] [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: 04/12/2022] [Revised: 11/23/2022] [Accepted: 03/25/2023] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a worldwide public health concern. Mobile health management platforms could be a potential way to achieve effective glycemic control. OBJECTIVE This study aimed to evaluate the real-world effectiveness of the Lilly Connected Care Program (LCCP) platform in glycemic control among patients with T2DM in China. METHODS This retrospective study included Chinese patients with T2DM (aged ≥18 years) from April 1, 2017, to January 31, 2020, for the LCCP group and from January 1, 2015, to January 31, 2020, for the non-LCCP group. Propensity score matching was used to match the LCCP and non-LCCP groups to reduce confounding, with covariates including age, sex, the duration of diabetes, baseline hemoglobin A1c (HbA1c), and the number of oral antidiabetic medication classes. HbA1c reduction over 4 months, the proportions of patients achieving an HbA1c reduction of ≥0.5% or ≥1%, and the proportions of patients reaching to target HbA1c level of ≤6.5% or <7% were compared between the LCCP and non-LCCP groups. Multivariate linear regression was used to assess factors associated with HbA1c reduction. RESULTS A total of 923 patients were included, among whom 303 pairs of patients were well matched after propensity score matching. HbA1c reduction during the 4-month follow-up was significantly larger in the LCCP group than the non-LCCP group (mean 2.21%, SD 2.37% vs mean 1.65%, SD 2.29%; P=.003). The LCCP group had a higher proportion of patients with an HbA1c reduction of ≥1% (209/303, 69% vs 174/303, 57.4%; P=.003) and ≥0.5% (229/303, 75.6% vs 206/303, 68%; P=.04). The proportions of patients reaching the target HbA1c level of ≤6.5% were significantly different between the LCCP and non-LCCP groups (88/303, 29% vs 61/303, 20.1%; P=.01), whereas the difference in the proportions of patients reaching the target HbA1c level of <7% was not statistically significant (LCCP vs non-LCCP: 128/303, 42.2% vs 109/303, 36%; P=.11). LCCP participation and higher baseline HbA1c were associated with a larger HbA1c reduction, whereas older age, longer diabetes duration, and higher baseline dose of premixed insulin analogue were associated with a smaller HbA1c reduction. CONCLUSIONS The LCCP mobile platform was effective in glycemic control among patients with T2DM in China in the real world.
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Affiliation(s)
- Benli Su
- Department of Endocrinology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Yu Chen
- Department of Endocrinology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xingping Shen
- Department of Endocrinology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jianchao Guo
- Department of Endocrinology, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yuchen Ding
- Lilly Suzhou Pharmaceutical Co Ltd, Shanghai, China
| | - Xiao Ma
- Lilly Suzhou Pharmaceutical Co Ltd, Shanghai, China
| | - Yuxin Yang
- Lilly Suzhou Pharmaceutical Co Ltd, Shanghai, China
| | - Dongfang Liu
- Department of Endocrinology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Guo H, Xiao Y, Liao C, Sun J, Xie Y, Zheng Y, Fan G. U-shaped association between online information exchange and app usage frequency: a large-scale survey of China 's online young and middle-aged people with pre diabetes and diabetes. Front Endocrinol (Lausanne) 2023; 14:1141645. [PMID: 37152927 PMCID: PMC10161200 DOI: 10.3389/fendo.2023.1141645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/20/2023] [Indexed: 05/09/2023] Open
Abstract
Background China has the world's largest diabetic population, and the cost of caring for all these people every day is substantial. Online information exchange and app usage frequency have been demonstrated to play a significant influence in the management of blood glucose and enhancement of diabetes-related quality of life. However, the association between online information exchange and app usage frequency among actual online populations remains unclear and deserves additional study. Therefore, we evaluated the factors affecting the frequency of app usage in the online glucose management population, with a particular emphasis on the connection between online information exchange and app use frequency, contributing to the expansion of the research of diabetes management models. Method This cross-sectional study was conducted by disseminating questionnaires in blood glucose management-related forums and WeChat groups and included 1586 online users concerned about blood glucose management. Information exchange and app usage frequency were considered as independent and dependent variables, respectively. We performed stratified and single factor analysis, multiple equation regression analysis, smooth curve fitting, and threshold effect and saturation effect analysis. R (version 4.1.3, http://www.Rproject.org) and EmpowerStats were used for data analysis. Result After adjusting for other covariates, information exchange was independently and positively associated with app use frequency (β = 8.6, 95% CI: 6.5 to 11.2, p < 0.001). Through interaction analysis, the most significant interaction factors influencing the relationship between information exchange and app usage frequency were identified as health insurance status, whether living with parents, glycated hemoglobin status in the previous month, and self-monitoring of blood glucose (SMBG). The association between information exchange and app usage frequency is U-shaped, with information exchange inflection points of 3.0 and 4.2. Information exchange and app usage frequency are negatively correlated when the average information exchange score is less than 3.0, and for every point increase in the average information exchange score, the likelihood of the app high usage frequency group compared to the app low usage frequency group decreases by 70%. The relationship between information exchange and app usage frequency is strongest when it is greater than or equal to 3.0 and less than or equal to 4.2. The probability of the app high usage frequency group occurring compared to the app low usage frequency group rises 17.3 times for every 1 point increase in the average information exchange score. The probability of the app high usage frequency group occurring in comparison to the app low usage frequency group increased by 1.8 times for every 1 point rise in information exchange when the average information exchange score was higher than 4.2. Conclusion Age, body mass index, married, living with parents, hemoglobin level, SMBG, and information exchange were positively connected with app usage frequency in our study of online blood glucose management population. The link between information exchange and app use frequency was significantly U-shaped. The app usage frequency changed the most with the rise in information exchange when the information exchange score was greater than or equal to 3.0 and less than or equal to 4.2. Therefore, we ought to offer effort to concentrate on and increase the health-related behaviors and activities of those in this score interval.
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