Frontiers in clinical diabetes and healthcare最新文献

{"title":"Comparing glucose monitoring methods: efficiency insights in a simulated hospital setting.","authors":"Allan Davasgaium, Timothy Robbins, Bianca Leca, Andreea Epure, Sailesh Sankar, Harpal Randeva","doi":"10.3389/fcdhc.2025.1517161","DOIUrl":"10.3389/fcdhc.2025.1517161","url":null,"abstract":"<p><p>While the advantages of flash glucose monitoring, also known as dynamic interstitial glucose monitoring (DIGM), are established in outpatient diabetes care, evidence of its impact within hospital settings remains limited. This study compared the efficiency of use and healthcare staff perception of DIGM monitoring versus traditional finger-prick testing in a simulated hospital environment. Twenty-five healthcare professionals (52% nurses, 48% allied healthcare professionals [AHCPs]) participated in simulated clinical scenarios involving glucose monitoring tasks using a high-fidelity mannequin. Participants performed three tasks: (A) applying a flash sensor, (B) scanning the sensor to obtain a glucose reading, and (C) performing a finger-prick test. Task durations and staff perceptions were assessed, with statistical analyses conducted using Python (version 3). DIGM was significantly faster than finger-prick testing. Sensor application took 75.4 ± 22.4 seconds, flash scanning took 26.4 ± 11.5 seconds, and finger-prick testing required 132.8 ± 37 seconds (p < 0.05 for all comparisons). DIGM saved approximately 106 seconds per glucose check based on these timings. Furthermore, a scenario of 20 readings per hospitalized patient translates to an average of 34.2 minutes saved per patient. While staff with greater experience performed tasks slightly faster, the overall time-saving benefit of DIGM remained substantial across all levels of experience. In addition, survey responses revealed a strong staff preference for DIGM, highlighting perceived benefits in workflow efficiency, patient comfort, and infection control. In conclusion, DIGM was significantly more efficient than finger-prick testing and strongly preferred by clinical staff. These technologies offer time-saving benefits that could improve patient experience, streamline clinical workflows, and potentially enhance diabetes management outcomes.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1517161"},"PeriodicalIF":0.0,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of diabetes self-management education and support interventions on glycemic levels among people living with type 2 diabetes in the WHO African Region: a Systematic Review and meta-analysis.","authors":"Yimer Seid Yimer, Adamu Addissie, Eshetu Girma Kidane, Ahmed Reja, Abdurezak Ahmed Abdela, Ahmed Ali Ahmed","doi":"10.3389/fcdhc.2025.1554524","DOIUrl":"10.3389/fcdhc.2025.1554524","url":null,"abstract":"<p><strong>Background: </strong>For successful glycemic control, diabetes control requires a comprehensive management plan in which patients are educated and supported to make informed decisions about diet, exercise, weight control, blood glucose monitoring, taking medication, and regular screening for complications. Current evidence on the effectiveness of diabetes self-management education and support (D-SMES) interventions on blood glucose control is mixed, with some studies pointing to significant glycemic control benefits, whereas others have shown no significant benefits.</p><p><strong>Objective: </strong>This systematic review and meta-analysis (SRMA) was conducted to evaluate the effectiveness of D-SMES interventions compared with usual care in controlling blood glucose levels among people living with type 2 diabetes (T2DM) in the World Health Organization (WHO) Africa Region and to describe the core components of D-SMES interventions.</p><p><strong>Methods: </strong>We performed a SRMA of D-SMES interventions for managing T2DM in the WHO Africa Region. We searched PubMed, CINAHL, the Cochrane Central Register of Controlled Trials (CCRCT), and Google Scholar from inception to May 5, 2025, for studies that were randomized control trials that reported glycated hemoglobin (HbA1c) or fasting blood sugar (FBS) as outcome measures and were delivered to adults with T2DM. The methodological quality of the included studies was assessed via the Cochrane risk of bias tool (RoB2). Random effects model meta-analysis was used to estimate the population average pooled standard mean difference (Hedges' g) for HbA1c with 95% CIs.</p><p><strong>Results: </strong>We screened the title/abstract records of 350 studies, of which 19 studies with a total of 3759 participants (1866 in the D-SMES group and 1893 in the usual care group) were included in the meta-analysis of HbA1c. The meta-analysis revealed a significant overall effect of D-SMES interventions on HbA1c among people living with T2DM in the WHO African Region (SMD = -0.468 with a 95% CI of -0.658 to -0.279, I2 = 85.5%). nine of the nineteen included studies reported significant effects. We would expect that in some 95% of all populations comparable to those in the analysis, the true effect size would fall between -1.27 and 0.34 (prediction interval). Of the 19 included studies, 15 had a low risk of bias, two had high risk, and two raised some concerns based on the Cochrane RoB 2 tool.</p><p><strong>Conclusions: </strong>Diabetes self-management education and support interventions are moderately effective in controlling blood glucose levels in T2DM patients within the WHO African region.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/PROSPERO, identifier CRD42022375732.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1554524"},"PeriodicalIF":0.0,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning and deep learning in diabetology: revolutionizing diabetes care.","authors":"Salvatore Corrao, Miodrag Janić, Viviana Maggio, Manfredi Rizzo","doi":"10.3389/fcdhc.2025.1547689","DOIUrl":"10.3389/fcdhc.2025.1547689","url":null,"abstract":"","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1547689"},"PeriodicalIF":0.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12148898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144268025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New frontiers in type I diabetes treatment: the impact of mesenchymal stromal cells on long-term complications.","authors":"Deeptha Bejugam, Sarah Bu, Athena N Nguyen, Mariam Yaltaghian, Kinga K Smolen","doi":"10.3389/fcdhc.2025.1586061","DOIUrl":"10.3389/fcdhc.2025.1586061","url":null,"abstract":"<p><p>Type 1 diabetes (T1D) is not only a disorder of insulin production from beta cell destruction, but also a progressive condition that brings about life-threatening complications such as diabetic nephropathy, impaired wound recovery, and cardiovascular disease. Mesenchymal stromal cell (MSC) use has recently become an encouraging new way to treat these complications and can result in better health outcomes for T1D patients. Some research has shown that MSC injections into mice and rat models have resulted in reduced mesangial cell thickening, inflammatory mediator recruitment, proteinuria, and fibrosis normally seen in diabetic nephropathy. Other studies have demonstrated that MSCs aid wound healing by increasing anti-inflammatory M2 macrophage differentiation, stimulating angiogenesis and collagen synthesis, and signaling the proliferation and migration of dermal fibroblasts toward injury sites. Additionally, there is evidence that MSCs are capable of activating the PI3K pathway and exhibiting antioxidant effects in murine models experiencing diabetic-related heart disease. However, given these efforts, further research is needed to establish the prolonged safety and efficacy of MSC use in humans to treat T1D.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1586061"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors associated with knowledge of diabetic retinopathy among adults with diabetes on follow-up care at public hospitals in Addis Ababa, Ethiopia: an institution-based cross-sectional study.","authors":"Feven Dinsa, Fekadu Aga, Debela Gela","doi":"10.3389/fcdhc.2025.1527143","DOIUrl":"10.3389/fcdhc.2025.1527143","url":null,"abstract":"<p><strong>Background: </strong>Diabetic retinopathy (DR) is the leading cause of vision loss among adults with diabetes aged between 20 to 70 years. Lack of knowledge about Diabetic retinopathy is one of the reasons for treatment delays, which can lead to the development of sight-threatening DR. The aim of this study is to assess knowledge of diabetic retinopathy and associated factor among adults with diabetes mellitus at public hospitals in Addis Ababa, Ethiopia.</p><p><strong>Methods: </strong>An institution-based cross-sectional study was conducted at five public hospitals in Addis Ababa from 27 February to 27 March 2023.Systematic random sampling was used to select 421 diabetes patients. Data was collected using a pretested interviewer-administered questionnaire using Kobo Collect version 2022.4.4. The data was then exported to SPSS version 27 for cleaning and analysis. Multiple linear regression analysis with a p-value < 0.05 and corresponding 95% confidence interval (CI) was used to identify factors associated with knowledge of DR.</p><p><strong>Results: </strong>The respondents' mean percentage score for DR knowledge was 61.42% ± 28.75%. Longer years lived with diabetes (B = 0.157, p = 0.001) and older age (B = 0.022, p = 0.044) were associated with better DR knowledge score, whereas having no formal education (β = -0.166, p = 0.001) and secondary school education (β = -0.165, p = 0.001) compared to the other groups had lower DR knowledge score.</p><p><strong>Conclusion: </strong>Longer years lived with diabetes, older age and higher educational level were factors associated with better knowledge of DR. Therefore, health professionals should target newly diagnosed, relatively younger patients and less educated DM patients when providing diabetes self-management education related to DR.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1527143"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adherence to diabetic self-care management and associated factors among type 2 diabetic patients in North Shewa Zone public hospitals in Amhara Region, Ethiopia.","authors":"Agizew Endale, Fitsum Hundessa, Eyasu Tamru, Fetene Nigussie, Minyahl Hailu","doi":"10.3389/fcdhc.2025.1560907","DOIUrl":"10.3389/fcdhc.2025.1560907","url":null,"abstract":"<p><strong>Introduction: </strong>Adherence to diabetes self-care management is a lifestyle modification for people with diabetes.</p><p><strong>Objective: </strong>To assess adherence to diabetic self-care management and associated factors among type 2 diabetic patients in North Shewa Zone public hospitals, Ethiopia, 2023.</p><p><strong>Methods: </strong>The study employed a concurrent mixed-methods approach among 600 type 2 diabetic patients in North Shewa Zone public hospitals in Amhara, Ethiopia. The study was conducted from May 5 to May 20, 2023. The quantitative data were collected by using a semi-structured interview-administered questionnaire and chart review. Logistic regression was employed, and a p-value < 0.05 was considered statistically significant. Qualitative data were collected by in-depth interviews, and audio recordings were first transcribed verbatim and then translated to the English language by the first author and analyzed manually using a thematic approach.</p><p><strong>Result: </strong>Out of the total 600 type 2 diabetic patients, 262 (43.7%) with 95% CI: 40-47.8% of the study participants had good adherence to diabetes self-care practices. The multivariable analysis indicated that type 2 diabetic patients who lived in urban areas [AOR: 5.4, 95% CI: (1.05-8.7)] were 5.4 times more likely to have good diabetic self-care practice than those rural residents. Those who had a high school level of education [AOR: 2.9, 95% CI: (1.3-6.6)] were 2.9 times more likely to have good self-care practice, and those with college and above [AOR: 5, 95% CI (2-12):] were five times more likely to have good self-care practice. Regarding occupation, unemployed people were 66% less likely to have good self-care practices than employed people. Those who had no availability of healthcare services [AOR: 0.19, 95% CI: (0.09-0.37)] were less likely by 81% to have good self-care practice than those who had availability of healthcare services. These are significantly associated with diabetic self-care practice. The qualitative component clarified six themes: lack of education and awareness, financial affordability, accessibility, lack of family support, and having diabetic-related complications were identified as barriers.</p><p><strong>Conclusion: </strong>This study indicated that adherence of patients with type 2 diabetes to the recommended self-care practices was considerably poor. Different factors included the respondents who had a high school level or higher level of education and those who lived in urban areas. This was supported by the results from the qualitative part and thus the endorsement to strengthen diabetes health education to patients and their families. So, diabetic patients require an integrated approach through treatment as well as health education, which will increase the health and well-being of the patient.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1560907"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12098080/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Ethnic inequalities in diabetes care and outcomes.","authors":"Suma Uday","doi":"10.3389/fcdhc.2025.1595078","DOIUrl":"https://doi.org/10.3389/fcdhc.2025.1595078","url":null,"abstract":"","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1595078"},"PeriodicalIF":0.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12098022/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of nephropathy among patients with diabetes mellitus in Africa: a systematic review and meta-analysis.","authors":"Grace I Adebayo-Gege, Peter Ifeoluwa Adegbola, Lawrence Dayo Adedayo, Adegboyega Moses Oyefabi, Ifeoluwa Temitayo Oyeyemi, Odeniran Olubukola, Adewale Adegboyega Oke, Oluchukwu Perpetual Okeke, Olunike Rebecca Abodunrin, Folahanmi Tomiwa Akinsolu, Olajide Odunayo Sobande","doi":"10.3389/fcdhc.2025.1551088","DOIUrl":"https://doi.org/10.3389/fcdhc.2025.1551088","url":null,"abstract":"<p><strong>Background: </strong>Diabetic nephropathy (DN) is one of the most frequent microvascular consequences of diabetes, accounting for a significant portion of morbidity and mortality in diabetic patients in Africa. This study aims to report on the prevalence of nephropathy among patients with diabetes mellitus patients in Africa and the risk factors.</p><p><strong>Methods: </strong>This systematic review was reported using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards, and the protocol was pre-registered in PROSPERO with the registration number CRD42024587467. The search was conducted across databases such as PubMed, Google Scholar, CINAHL and Scopus to retrieve studies published between January 2000 and August 2024. All statistical analyses were conducted using R software (version 4.4.2). The pooled prevalence of nephropathy in patients with diabetes was calculated with a 95% confidence interval (CI).</p><p><strong>Results: </strong>Thirty-four (34) articles met the inclusion criteria. Only 28 studies were incorporated into the meta-analysis to determine the pooled prevalence of nephropathy among diabetes patients. The findings indicated a pooled prevalence of 21% (95%, CI: 16-28) of nephropathy among diabetes patients. Among type 1 and type 2 diabetes patients, the pooled prevalence of nephropathy is 46% (95%, CI: 18-77, I² = 98%) and 20% (95% CI: 14-27, I² = 98%), respectively. Weighted prevalence of 47%, 31%, 33% and 11% were reported in North Africa, Central Africa, South Africa and West Africa respectively. The result also showed that diabetes patients with hypertension are more than three times at risk of developing nephropathy compared to those without hypertension OR:3.46 (95% CI: 2.61-4.59).</p><p><strong>Conclusion: </strong>The current study showed the prevalence of nephropathy with a significant association with hypertension among diabetic mellitus patients. Higher prevalence in North Africa is likely due to Western cultural impacts on dietary consumption.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/prospero/, identifier CRD42024587467.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1551088"},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consumer-oriented review of digital diabetes prevention programs: insights from the CDC's diabetes prevention recognition program.","authors":"Benjamin Lalani, Jalene Shim, Vidhu Vadini, Yllka Valdez, Daniel Zade, Nestoras Mathioudakis","doi":"10.3389/fcdhc.2025.1562108","DOIUrl":"https://doi.org/10.3389/fcdhc.2025.1562108","url":null,"abstract":"<p><strong>Background: </strong>Prediabetes is highly prevalent and significantly increases the risk of type 2 diabetes. While access to proven interventions like the Diabetes Prevention Program (DPP) has historically been limited, digital DPPs (dDPPs) present a promising and scalable option. With the recent growth of dDPP offerings and potential variability across platforms, access to accurate and clear information is crucial for individuals seeking diabetes prevention options. This review provides an overview of the dDPP landscape and characterizes the \"direct-to-consumer\" information available-or lacking-for patients choosing a dDPP.</p><p><strong>Methods: </strong>We identified dDPPs through the CDC Diabetes Prevention Recognition Program (DPRP) Registry. Data were extracted from three sources available to consumers: the CDC DPRP Registry, the CDC \"Find a Lifestyle Program\" Website, and program-specific websites. Extracted data included CDC recognition status, intended audience, available languages, program features (e.g., artificial intelligence, integration with smart devices), website availability and functionality, demonstrations of credibility (e.g., ADA endorsement), clinical performance metrics (e.g., average weight loss), and user experience factors (e.g., satisfaction). Descriptive statistics were used to summarize extracted data.</p><p><strong>Results: </strong>A total of 97 dDPPs were included in the review, with most in the early stages of CDC recognition. Only 35% of dDPPs listed in the CDC registry had functional websites, though additional websites were identified through manual searches. Program-specific features included AI-driven health recommendations, device integration (e.g., digital scales and activity trackers), nutrition tracking tools, and telehealth platforms. Nearly half of the dDPPs reported clinical performance metrics such as weight loss and A1C outcomes. User experience details were often presented through patient testimonials and satisfaction scores. Notably, many programs required users to provide personal information to access additional information.</p><p><strong>Conclusion: </strong>We found that available dDPPs vary significantly in their features, designs, and structures, reflecting a diverse and evolving landscape of diabetes prevention options. Concurrently, many dDPPs lack accessible information due to missing or incomplete websites. Centralized sources of information provided by the CDC are also insufficient, with discrepancies and gaps that hinder transparency and consumer decision-making. Addressing these issues through enhanced program visibility and improved centralized databases will be critical to optimizing the reach and impact of dDPPs.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1562108"},"PeriodicalIF":0.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040819/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and methods of a multicenter randomized clinical trial of effects of diabetes-educated psychologist on glucose management and diabetes distress.","authors":"Johanna Zeijlemaker, Therese Anderbro, Sofia Sterner Isaksson, Marcus Lind","doi":"10.3389/fcdhc.2025.1549234","DOIUrl":"https://doi.org/10.3389/fcdhc.2025.1549234","url":null,"abstract":"<p><strong>Introduction: </strong>Many people with type 1 diabetes struggle to manage their glucose levels and experience stress related to the behavioral demands of the disease. The aim of this study is to investigate whether treatment with a diabetes-educated psychologist can improve glucose levels and decrease diabetes distress.</p><p><strong>Materials and methods: </strong>Individuals with HbA1c >62 mmol/mol (7.8%) were randomized to either psychological treatment or control group. The study duration for each participant was 52 weeks. Patients who received treatment met with a diabetes-educated psychologist a minimum of seven times. In total 6 outpatient diabetes units and 10 psychologists participated. Cognitive behavioral therapy was primarily the treatment of choice. Both groups met with a diabetes nurse and/or physician at the start of the study and at 3, 6, and 12 months. HbA1c, blood pressure, and weight were measured at scheduled visits. Diabetes distress, quality of life, hypoglycemia confidence, and treatment satisfaction were evaluated using questionnaires. The primary endpoint is the difference in HbA1c from baseline to week 52. Secondary endpoints are changes in diabetes distress and quality of life from baseline to week 52, as well as treatment satisfaction at 52 weeks.</p><p><strong>Discussion: </strong>This study seeks to improve knowledge about how to support patients who struggle to manage their diabetes. If the results of this study show that psychological treatment has an effect on HbA1c or on diabetes distress, it could indicate that psychologists should become more involved in diabetes care teams. Clinical trial registration: ClinicalTrials.gov ID NCT03753997.</p>","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"6 ","pages":"1549234"},"PeriodicalIF":0.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040910/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}