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Kabir MA, Samad S, Ahmed F, Naher S, Featherston J, Laird C, Ahmed S. Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities. J Med Syst 2024; 48:80. [PMID: 39180710 PMCID: PMC11344716 DOI: 10.1007/s10916-024-02091-x] [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: 05/09/2024] [Accepted: 07/22/2024] [Indexed: 08/26/2024]
Abstract
With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial intelligence (AI) in healthcare apps, there is a growing need for a comprehensive evaluation system. Current apps lack sufficient evidence-based reliability, prompting the necessity for a systematic assessment. The objectives of this study are to evaluate the wound assessment and monitoring apps, identify limitations, and outline opportunities for future app development. An electronic search across two major app stores (Google Play store, and Apple App Store) was conducted and the selected apps were rated by three independent raters. A total of 170 apps were discovered, and 10 were selected for review based on a set of inclusion and exclusion criteria. By modifying existing scales, an app rating scale for wound assessment apps is created and used to evaluate the selected ten apps. Our rating scale evaluates apps' functionality and software quality characteristics. Most apps in the app stores, according to our evaluation, do not meet the overall requirements for wound monitoring and assessment. All the apps that we reviewed are focused on practitioners and doctors. According to our evaluation, the app ImitoWound got the highest mean score of 4.24. But this app has 7 criteria among our 11 functionalities criteria. Finally, we have recommended future opportunities to leverage advanced techniques, particularly those involving artificial intelligence, to enhance the functionality and efficacy of wound assessment apps. This research serves as a valuable resource for future developers and researchers seeking to enhance the design of wound assessment-based applications, encompassing improvements in both software quality and functionality.
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Affiliation(s)
- Muhammad Ashad Kabir
- School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, 2795, NSW, Australia.
| | - Sabiha Samad
- Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, 4349, Chattogram, Bangladesh
| | - Fahmida Ahmed
- Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, 4349, Chattogram, Bangladesh
| | - Samsun Naher
- Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, 4349, Chattogram, Bangladesh
| | - Jill Featherston
- School of Medicine, Cardiff University, Cardiff, CF14 4YS, Wales, United Kingdom
| | - Craig Laird
- Principal Pedorthist, Walk Easy Pedorthics Pty. Ltd., Tamworth, 2340, NSW, Australia
| | - Sayed Ahmed
- Principal Pedorthist, Foot Balance Technology Pty Ltd, Westmead, 2145, NSW, Australia
- Offloading Clinic, Nepean Hospital, Kingswood, 2750, NSW, Australia
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Blanchard J, Ahmed S, Clark B, Sanchez Cotto L, Rangasamy S, Thompson B. Design and Testing of a Smartphone Application for Real-Time Tracking of CSII and CGM Site Rotation Compliance in Patients With Type 1 Diabetes. J Diabetes Sci Technol 2024; 18:937-945. [PMID: 36539997 PMCID: PMC11307221 DOI: 10.1177/19322968221145178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Glycemic control in patients with type 1 diabetes can be difficult to achieve. One critical aspect of insulin delivery is site rotation, which is necessary to reduce dermatologic complications of repeated insulin infusion. No current application is designed to help patients track sites and instruct on overused sites. OBJECTIVE The objectives of this study were to (1) design a smartphone app, Insulin Site Guide, to gather real-time information on continuous subcutaneous insulin infusion (CSII) and continuous glucose monitor (CGM) site location and rotation compliance and instruct subjects on the use of an overused site; (2) conduct a usability study to measure site rotation compliance; and (3) report subject satisfaction with the app. DESIGN The app is installed on the subject's smartphone. Subjects use the app to record CSII and CGM placement in real-time. Data are sent to the study team at the end of the study. Subjects complete a questionnaire concerning the app. RESULTS We report site rotation compliance data for eight subjects and survey responses for 10 subjects. Initial data from eight subjects indicate a high site rotation compliance of 84% for insulin pumps. In general, the majority of users indicate high satisfaction with the app. CONCLUSIONS Insulin Site Guide is a mobile app that uses a novel algorithm to better guide site rotation. Use of the app has the potential to improve site rotation and decrease dermatologic complications of diabetes with long-term use.
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Affiliation(s)
- John Blanchard
- Translational Genomics Research Institute, Phoenix, AZ, USA
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Ali Sherazi B, Läer S, Hasanbegovic S, Obarcanin E. Evaluating usability of and satisfaction with mHealth app in rural and remote areas-Germany GIZ collaboration in Bosnia-Herzegovina to optimize type 1 diabetes care. Front Digit Health 2024; 6:1338857. [PMID: 38952745 PMCID: PMC11215199 DOI: 10.3389/fdgth.2024.1338857] [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: 11/24/2023] [Accepted: 05/30/2024] [Indexed: 07/03/2024] Open
Abstract
Background Type 1 diabetes mellitus (T1DM) management in children and adolescents requires intensive supervision and monitoring to prevent acute and late diabetes complications and to improve quality of life. Digital health interventions, in particular diabetes mobile health apps (mHealth apps) can facilitate specialized T1DM care in this population. This study evaluated the initial usability of and satisfaction with the m-Health intervention Diabetes: M app, and the ease of use of various app features in supporting T1DM care in rural and remote areas of Bosnia-Herzegovina with limited access to specialized diabetes care. Methods This cross-sectional study, performed in February-March 2023, evaluated T1DM pediatric patients who used the Diabetes: M app in a 3-month mHealth-based T1DM management program, along with their parents and healthcare providers (HCPs). All participants completed self-administered online questionnaires at the end of the 3-month period. Data were analyzed by descriptive statistics. Results The study population included 50 T1DM patients (children/parents and adolescents) and nine HCPs. The mean ± SD age of the T1DM patients was 14 ± 4.54 years, with 26 (52%) being female. The mean ± SD age of the HCPs was 43.4 ± 7.76 years; all (100%) were women, with a mean ± SD professional experience of 17.8 ± 8.81 years. The app was reported usable in the domains of ease-of-use and satisfaction by the T1DM children/parents (5.82/7.0), T1DM adolescents/young adults (5.68/7.0), and HCPs (5.22/7.0). Various app features, as well as the overall app experience, were rated positively by the participants. Conclusion The results strongly support the usability of mHealth-based interventions in T1DM care, especially in overcoming care shortage and improving diabetes management and communications between HCPs and patients. Further studies are needed to compare the effectiveness of apps used to support T1DM management with routine care.
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Affiliation(s)
- Bushra Ali Sherazi
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Düsseldorf, Germany
- Institute of Pharmacy, Faculty of Pharmaceutical and Allied Health Sciences, Lahore College for Women University, Lahore, Pakistan
| | - Stephanie Läer
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Düsseldorf, Germany
| | | | - Emina Obarcanin
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Düsseldorf, Germany
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
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Tarricone R, Petracca F, Svae L, Cucciniello M, Ciani O. Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials. EBioMedicine 2024; 103:105091. [PMID: 38579364 PMCID: PMC11002812 DOI: 10.1016/j.ebiom.2024.105091] [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: 09/28/2023] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Self-management is pivotal in addressing noncommunicable diseases, such as diabetes. The increased availability of digital behaviour change interventions (DBCIs) delivered through mobile health apps offers unprecedented opportunities to enhance self-management and improve health outcomes. However, little is known about the characteristics of DBCIs for diabetes that significantly impact glycaemic control. Therefore, our systematic review with meta-analysis aimed to summarize characteristics and behaviour change components in DBCIs for diabetes self-management and explore potential associations with metabolic outcomes. METHODS A systematic search was conducted in PubMed, Embase, the Cochrane Central Register of Controlled Trials, and Scopus to identify randomized controlled trials published until November 2023. The main outcome variable was the change in the mean difference of HbA1c levels between baseline and follow-up across intervention and control groups. Random-effects meta-regression was used to explore variation in glycaemic control as a function of prespecified characteristics of study designs and app interventions. FINDINGS A total of 57 studies was included in the analysis, showing a statistically significant percentage point reduction in HbA1c for the intervention group compared to the control arm (-0.36, 95% CI = -0.46 to -0.26, p < 0.001). The inclusion of "self-monitoring of behaviour" as a behaviour change technique (β = -0.22, p = 0.04) and "taking medication" as a target behaviour (β = -0.20, p = 0.05) was associated with improved metabolic outcomes. INTERPRETATION Our analyses endorse the use of diabetes self-management apps, highlighting characteristics statistically associated with intervention effectiveness and guiding the design of more effective DBCIs. FUNDING This project received funding from the European Union's Horizon 2020 programme.
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Affiliation(s)
- Rosanna Tarricone
- Department of Social and Political Sciences, Bocconi University, Milan, Italy; Centre for Research on Health and Social Care Management (CERGAS), Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milan, Italy
| | - Francesco Petracca
- Centre for Research on Health and Social Care Management (CERGAS), Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milan, Italy.
| | - Liv Svae
- Centre for Research on Health and Social Care Management (CERGAS), Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milan, Italy
| | - Maria Cucciniello
- Department of Social and Political Sciences, Bocconi University, Milan, Italy; Centre for Research on Health and Social Care Management (CERGAS), Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milan, Italy
| | - Oriana Ciani
- Centre for Research on Health and Social Care Management (CERGAS), Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milan, Italy
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Joshi D, Nayagam J, Clay L, Yerlett J, Claridge L, Day J, Ferguson J, Mckie P, Vara R, Pargeter H, Lockyer R, Jones R, Heneghan M, Samyn M. UK guideline on the transition and management of childhood liver diseases in adulthood. Aliment Pharmacol Ther 2024; 59:812-842. [PMID: 38385884 DOI: 10.1111/apt.17904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/15/2023] [Accepted: 02/03/2024] [Indexed: 02/23/2024]
Abstract
INTRODUCTION Improved outcomes of liver disease in childhood and young adulthood have resulted in an increasing number of young adults (YA) entering adult liver services. The adult hepatologist therefore requires a working knowledge in diseases that arise almost exclusively in children and their complications in adulthood. AIMS To provide adult hepatologists with succinct guidelines on aspects of transitional care in YA relevant to key disease aetiologies encountered in clinical practice. METHODS A systematic literature search was undertaken using the Pubmed, Medline, Web of Knowledge and Cochrane database from 1980 to 2023. MeSH search terms relating to liver diseases ('cholestatic liver diseases', 'biliary atresia', 'metabolic', 'paediatric liver diseases', 'autoimmune liver diseases'), transition to adult care ('transition services', 'young adult services') and adolescent care were used. The quality of evidence and the grading of recommendations were appraised using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. RESULTS These guidelines deal with the transition of YA and address key aetiologies for the adult hepatologist under the following headings: (1) Models and provision of care; (2) screening and management of mental health disorders; (3) aetiologies; (4) timing and role of liver transplantation; and (5) sexual health and fertility. CONCLUSIONS These are the first nationally developed guidelines on the transition and management of childhood liver diseases in adulthood. They provide a framework upon which to base clinical care, which we envisage will lead to improved outcomes for YA with chronic liver disease.
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Affiliation(s)
- Deepak Joshi
- Institute of Liver Studies, King's College Hospital NHS Foundation Trust, London, UK
| | - Jeremy Nayagam
- Institute of Liver Studies, King's College Hospital NHS Foundation Trust, London, UK
| | - Lisa Clay
- Paediatric Liver, GI and Nutrition service, King's College Hospital NHS Foundation Trust, London, UK
| | - Jenny Yerlett
- Paediatric Liver, GI and Nutrition service, King's College Hospital NHS Foundation Trust, London, UK
| | - Lee Claridge
- Leeds Liver Unit, St James's University Hospital, Leeds, UK
| | - Jemma Day
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - James Ferguson
- National Institute for Health Research, Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
| | - Paul Mckie
- Department of Social Work, King's College Hospital NHS Foundation Trust, London, UK
| | - Roshni Vara
- Paediatric Liver, GI and Nutrition service, King's College Hospital NHS Foundation Trust, London, UK
- Evelina London Children's Hospital, London, UK
| | | | | | - Rebecca Jones
- Leeds Liver Unit, St James's University Hospital, Leeds, UK
| | - Michael Heneghan
- Institute of Liver Studies, King's College Hospital NHS Foundation Trust, London, UK
| | - Marianne Samyn
- Paediatric Liver, GI and Nutrition service, King's College Hospital NHS Foundation Trust, London, UK
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Kim K, Yun JS, Lee J, Yang Y, Lee M, Ahn YB, Cho JH, Ko SH. Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Endocrinol Metab (Seoul) 2024; 39:344-352. [PMID: 38148106 PMCID: PMC11066440 DOI: 10.3803/enm.2023.1871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023] Open
Abstract
BACKGRUOUND This study investigated the effectiveness of a social networking site (SNS)-based automatic mobile message providing system on glycemic control in patients with type 2 diabetes mellitus (T2DM). METHODS A 3-month, randomized, open-label, controlled, parallel-group trial was conducted. One hundred and ten participants with T2DM were randomized to a mobile message system (MMS) (n=55) or control group (n=55). The MMS group received protocolbased automated messages two times per day for 10 weeks regarding diabetes self-management through KakaoTalk SNS messenger. The primary outcome was the difference in the change in glycated hemoglobin (HbA1c) levels (%) from baseline to week 12. RESULTS HbA1c levels were more markedly decreased in the MMS group (8.4%±0.7% to 8.0%±1.1%) than in the control group (8.5%±0.8% to 8.4%±0.8%), resulting in a significant between-group difference (P=0.027). No differences were observed in changes in fasting glucose levels, lipid profiles, and the number of participants who experienced hypoglycemia, or in changes in lifestyle behavior between groups. However, the self-monitoring of blood glucose frequency was significantly increased in the MMS group compared to the control group (P=0.003). In addition, sleep duration was increased in the MMS group, but was not changed in the control group. CONCLUSION An SNS-based automatic mobile message providing system was effective in improving glycemic control in patients in T2DM. Studies which based on a more individualized protocol, and investigate longer beneficial effect and sustainability will be required in the future.
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Affiliation(s)
- Kyuho Kim
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jae-Seung Yun
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joonyub Lee
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yeoree Yang
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | | | - Yu-Bae Ahn
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jae Hyoung Cho
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- iKooB Inc., Seoul, Korea
| | - Seung-Hyun Ko
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Ehrmann D, Hermanns N, Finke-Gröne K, Roos T, Kober J, Schäfer V, Krichbaum M, Haak T, Ziegler R, Heinemann L, Rieger C, Bingol E, Kulzer B, Silbermann S. Efficacy of a Digital Diabetes Logbook for People With Type 1, Type 2, and Gestational Diabetes: Results From a Multicenter, Open-Label, Parallel-Group, Randomized Controlled Trial. J Diabetes Sci Technol 2024:19322968241239870. [PMID: 38529954 DOI: 10.1177/19322968241239870] [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] [Indexed: 03/27/2024]
Abstract
BACKGROUND In a randomized controlled trial, the efficacy of a digital diabetes diary regarding a reduction of diabetes distress was evaluated. METHODS A randomized controlled trial with a 12-week follow-up was conducted in 41 study sites across Germany. Key eligibility criteria were a diagnosis of type 1, type 2, or gestational diabetes and regular self-monitoring of blood glucose. Participants were randomly assigned (2:1 ratio) to either use the digital diabetes logbook (mySugr PRO), or to the control group without app use. The primary outcome was the reduction in diabetes distress at the 12-week follow-up. All analyses were based on the intention-to-treat population with all randomized participants. The trial was registered at the German Register for Clinical Studies (DRKS00022923). RESULTS Between February 11, 2021, and June 24, 2022, 424 participants (50% female, 50% male) were included, with 282 being randomized to the intervention group (66.5%) and 142 to the control group (33.5%). A total of 397 participants completed the trial (drop-out rate: 6.4%). The median reduction in diabetes distress was 2.41 (interquartile range [IQR]: -2.50 to 8.11) in the intervention group and 1.25 (IQR: -5.00 to 7.50) in the control group. The model-based adjusted between-group difference was significant (-2.20, IQR: -4.02 to -0.38, P = .0182) favoring the intervention group. There were 27 adverse events, 17 (6.0%) in the intervention group, and 10 (7.0%) in the control group. CONCLUSIONS The efficacy of the digital diabetes logbook was demonstrated regarding improvements in mental health in people with type 1, type 2, and gestational diabetes.
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Affiliation(s)
- Dominic Ehrmann
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
| | - Norbert Hermanns
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
- Diabetes Clinic Mergentheim, Bad Mergentheim, Germany
| | - Katharina Finke-Gröne
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
| | - Timm Roos
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
| | | | | | - Michael Krichbaum
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany
| | - Thomas Haak
- Diabetes Clinic Mergentheim, Bad Mergentheim, Germany
| | - Ralph Ziegler
- Diabetes Clinic for Children and Adolescents, Muenster, Germany
| | | | | | | | - Bernhard Kulzer
- Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany
- Department of Clinical Psychology and Psychotherapy, University of Bamberg, Bamberg, Germany
- Diabetes Clinic Mergentheim, Bad Mergentheim, Germany
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Han CY, Lim SL, Ong KW, Johal J, Gulyani A. Behavioral Lifestyle Intervention Program Using Mobile Application Improves Diet Quality in Adults With Prediabetes (D'LITE Study): A Randomized Controlled Trial. J Acad Nutr Diet 2024; 124:358-371. [PMID: 37820787 DOI: 10.1016/j.jand.2023.10.005] [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: 12/13/2022] [Revised: 09/29/2023] [Accepted: 10/04/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Mobile health applications (mHealth apps) are increasingly being used in weight loss interventions. However, evidence on the effects of such interventions on diet quality and their correlation with weight loss is lacking. OBJECTIVE The objective of this study was to examine whether changes in the diet quality of adults with prediabetes followed the use of an mHealth-enabled lifestyle intervention, compared with those who did not, and whether these changes correlated with weight loss. DESIGN A secondary analysis of a 6-month randomized controlled trial Diabetes Lifestyle Intervention using Technology Empowerment (D'LITE) was conducted, with participants recruited from October 2017 to September 2019. PARTICIPANTS/SETTING Community-dwelling adults (n = 148) in Singapore diagnosed with prediabetes and body mass index (BMI) ≥23 were included in this study. INTERVENTION Participants were randomized to receive either a 6-month mHealth-enabled lifestyle intervention program (diet and physical activity) or standard care dietary advice. MAIN OUTCOME MEASURES Dietary data were collected in the form of 2-day food records at baseline, 3, and 6 months. Changes in Alternate Healthy Eating Index-2010 (AHEI-2010) scores and food groups (servings/day), calculated from the dietary data, and correlation between changes in AHEI-2010 and weight loss at 3 and 6 months, were examined. STATISTICAL ANALYSES Between-group comparisons of continuous variables and within-participants variation were performed using longitudinal mixed-effect models, intention-to-treat principles. The models included treatment groups, time (baseline, 3 months, and 6 months), and covariates (age, sex, and BMI), as well as the group × time interactions, as fixed variables and within-participant variation in outcome values as random variable. The random intercept for participants accounted for the dependence of repeated measures. A likelihood ratio test was also conducted to test random effect variance. Spearman correlation test was used to examine correlation between changes in AHEI-2010 scores and weight loss. RESULTS There was a significant improvement in overall diet quality as ascertained by the AHEI-2010, by 6.2 points (95% confidence interval [CI], 3.8-8.7; P < 0.001) in the intervention group as compared with the control. The participants in the intervention group had a significantly greater reduction in intake of sugar-sweetened beverages (SSB) by 0.5 servings/day (95% CI, -0.8, -0.2; P < 0.001) and sodium by 726 mg/day (95% CI, -983, -468; P < .001), compared with those receiving standard care. At 3 and 6 months, a significant decrease in SSB (0.8 servings/day; 0.7 servings/day, respectively) and sodium (297 mg/day; 296 mg/day, respectively) intakes were reported compared with baseline intakes. Small positive correlations (r = 0.2; P < 0.05) were observed between changes in AHEI-2010 scores from baseline and percentage weight loss at 3 and 6 months. CONCLUSION For adults with prediabetes in Singapore, diet quality can be improved with an mHealth-enabled lifestyle intervention program. A small positive correlation exists between AHEI-2010 scores and weight loss.
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Affiliation(s)
- Chad Yixian Han
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Australia; NOVI Health, Singapore.
| | - Su Lin Lim
- Dietetics Department, National University Hospital, National University Health System, Singapore
| | - Kai Wen Ong
- Dietetics Department, National University Hospital, National University Health System, Singapore
| | - Jolyn Johal
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Australia
| | - Aarti Gulyani
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Australia
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Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2024; 13:e53514. [PMID: 38393770 PMCID: PMC10924262 DOI: 10.2196/53514] [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: 10/10/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Increasing physical activity improves glycemic control in patients with type 2 diabetes (T2D). Mobile health (mHealth) interventions have been proven to increase exercise, but engagement often fades with time. As the use of health behavior theory in mHealth design can increase effectiveness, we developed StepAdd, an mHealth intervention based on the constructs of social cognitive theory (SCT). StepAdd improves exercise behavior self-efficacy and self-regulation through the use of goal-setting, barrier-identifying, and barrier-coping strategies, as well as automatic feedback functions. A single-arm pilot study of StepAdd among 33 patients with T2D showed a large increase in step count (mean change of 4714, SD 3638 daily steps or +86.7%), along with strong improvements in BMI (mean change of -0.3 kg/m2) and hemoglobin A1c level (mean change of -0.79 percentage points). OBJECTIVE In this study, we aim to investigate the efficacy and safety of StepAdd, an mHealth exercise support system for patients with T2D, via a large, long, and controlled follow-up to the pilot study. METHODS This is a randomized, open-label, multicenter study targeting 160 patients with T2D from 5 institutions in Japan with a 24-week intervention. The intervention group will record daily step counts, body weight, and blood pressure using the SCT-based mobile app, StepAdd, and receive feedback about these measurements. In addition, they will set weekly step count goals, identify personal barriers to walking, and define strategies to overcome these barriers. The control group will record daily step counts, body weight, and blood pressure using a non-SCT-based placebo app. Both groups will receive monthly consultations with a physician who will advise patients regarding lifestyle modifications and use of the app. The 24-week intervention period will be followed by a 12-week observational period to investigate the sustainability of the intervention's effects. The primary outcome is between-group difference in the change in hemoglobin A1c values at 24 weeks. The secondary outcomes include other health measures, measurements of steps, measurements of other behavior changes, and assessments of app use. The trial began in January 2023 and is intended to be completed in December 2025. RESULTS As of September 5, 2023, we had recruited 44 patients. We expect the trial to be completed by October 8, 2025, with the follow-up observation period being completed by December 31, 2025. CONCLUSIONS This trial will provide important evidence about the efficacy of an SCT-based mHealth intervention in improving physical activities and glycemic control in patients with T2D. If this study proves the intervention to be effective and safe, it could be a key step toward the integration of mHealth as part of the standard treatment received by patients with T2D in Japan. TRIAL REGISTRATION Japan Registry of Clinical Trials (JRCT) jRCT2032220603; https://rctportal.niph.go.jp/en/detail?trial_id=jRCT2032220603. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/53514.
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Affiliation(s)
- Kayo Waki
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan
| | - Yuya Tsurutani
- Endocrinology and Diabetes Center, Yokohama Rosai Hospital, Yokohama, Japan
| | - Hironori Waki
- Department of Metabolism and Endocrinology, Akita University Graduate School of Medicine, Akita, Japan
| | - Syunpei Enomoto
- Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan
| | - Kosuke Kashiwabara
- Data Science Office, Clinical Research Promotion Center, The University of Tokyo Hospital, Tokyo, Japan
| | - Akira Fujiwara
- Department of Nephrology and Hypertension, Yokohama City University Medical Center, Yokohama, Japan
| | - Kazuki Orime
- Department of Endocrinology and Diabetes, Yokohama City University Medical Center, Yokohama, Japan
| | - Sho Kinguchi
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Nobuhito Hirawa
- Department of Nephrology and Hypertension, Yokohama City University Medical Center, Yokohama, Japan
| | - Kouichi Tamura
- Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuhiko Ohe
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan
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10
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Duan H, Yan W. Visual fatigue a comprehensive review of mechanisms of occurrence, animal model design and nutritional intervention strategies. Crit Rev Food Sci Nutr 2023:1-25. [PMID: 38153314 DOI: 10.1080/10408398.2023.2298789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
When the eyes work intensively, it is easy to have eye discomfort such as blurred vision, soreness, dryness, and tearing, that is, visual fatigue. Visual fatigue not only affects work and study efficiency, but long-term visual fatigue can also easily affect physical and mental health. In recent years, with the popularization of electronic products, although it has brought convenience to the office and study, it has also caused more frequent visual fatigue among people who use electronic devices. Moreover, studies have reported that the number of people with visual fatigue is showing a trend of increasing year by year. The range of people involved is also extensive, especially students, people who have been engaged in computer work and fine instruments (such as microscopes) for a long time, and older adults with aging eye function. More and more studies have proposed that supplementation with the proper nutrients can effectively relieve visual fatigue and promote eye health. This review discusses the physiological mechanisms of visual fatigue and the design ideas of animal experiments from the perspective of modern nutritional science. Functional food ingredients with the ability to alleviate visual fatigue are discussed in detail.
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Affiliation(s)
- Hao Duan
- College of Biochemical Engineering, Beijing Key Laboratory of Bioactive Substances and Functional Food, Beijing Union University, Beijing, China
| | - Wenjie Yan
- College of Biochemical Engineering, Beijing Key Laboratory of Bioactive Substances and Functional Food, Beijing Union University, Beijing, China
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11
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Shao H, Liu C, Tang L, Wang B, Xie H, Zhang Y. Factors Influencing the Behavioral Intentions and Use Behaviors of Telemedicine in Patients With Diabetes: Web-Based Survey Study. JMIR Hum Factors 2023; 10:e46624. [PMID: 38153781 PMCID: PMC10784981 DOI: 10.2196/46624] [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: 02/18/2023] [Revised: 06/01/2023] [Accepted: 10/16/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND Telemedicine has great potential for diabetes management. The COVID-19 pandemic has boosted the development of telemedicine. However, the factors influencing the behavioral intentions to use and use behaviors of telemedicine in patients with diabetes in China are not clear. OBJECTIVE We aimed to understand the determinants of behavioral intention to use telemedicine based on an extended Unified Theory of Acceptance and Use of Technology model and to identify demographic factors associated with telemedicine use in patients with diabetes in China. METHODS Patients with diabetes who are aged ≥18 years were surveyed from February 1 to February 7, 2023. We distributed the survey link in 3 WeChat groups including a total of 988 patients with diabetes from the outpatient department or patients discharged from Changsha Central Hospital. Structural equation modeling was used to understand the determinants of behavioral intention. A multivariate logistic regression analysis was used to identify the demographic factors associated with telemedicine use. RESULTS In total, 514 questionnaires were collected. Of the respondents, 186 (36.2%) were diagnosed with COVID-19. The measurement model showed acceptable reliability, convergent validity, discriminant validity, and data fit indices. The model explained 63.8% of the variance in behavioral intention. Social influence, performance expectancy, and facilitating conditions positively influenced behavioral intention (β=.463, P<.001; β=.153, P=.02; and β=.257, P=.004, respectively). Perceived susceptibility, perceived severity, and effort expectancy had no significant impact on behavioral intention (all P>.05). The overall use of telemedicine was 20.6% (104/514). After adjusting for the behavioral intention score, the multivariate regression analysis showed that age, education, and family income were associated with telemedicine use. Telemedicine use was higher in the 40 to 59 years and 18 to 39 years age groups than in the ≥60 years age group (odds ratio [OR] 4.35, 95% CI 1.84-10.29, P=.001; OR 9.20, 95% CI 3.40-24.88, P<.001, respectively). Telemedicine use was higher in the senior high school and the university and more groups than in junior high school education and less group (OR 2.45, 95% CI 1.05-5.73, P=.04; OR 2.63, 95% CI 1.11-6.23, P=.03, respectively). Patients with a higher family income used telemedicine more often than the patients who had an annual family income ≤¥10,000 (CNY ¥1=US $0.1398; ¥10,000-¥50,000 group: OR 3.90, 95% CI 1.21-12.51, P=.02; ¥50,000-¥100,000 group: OR 3.91, 95% CI 1.19-12.79, P=.02; >¥100,000 group: OR 4.63, 95% CI 1.41-15.27, P=.01). CONCLUSIONS Social influence, performance expectancy, and facilitating conditions positively affected the behavioral intention of patients with diabetes to use telemedicine. Young patients, highly educated patients, and patients with high family income use telemedicine more often. Promoting behavioral intention and paying special attention to the needs of older adult patients, patients with low income, and patients with low levels of education are needed to encourage telemedicine use.
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Affiliation(s)
- Huige Shao
- Department of Endocrinology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Chaoyuan Liu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Li Tang
- Department of Endocrinology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Bian Wang
- Department of Endocrinology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Hebin Xie
- Science and Education Department, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Yiyu Zhang
- Department of Endocrinology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
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12
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Abdelhameed F, Pearson E, Parsons N, Barber TM, Panesar A, Summers C, de la Fosse M, Hanson P. Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study. JMIR Diabetes 2023; 8:e47224. [PMID: 38016426 PMCID: PMC10784975 DOI: 10.2196/47224] [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: 03/12/2023] [Revised: 11/25/2023] [Accepted: 11/27/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Diabetes is a worldwide chronic condition causing morbidity and mortality, with a growing economic burden on health care systems. Complications from poorly controlled diabetes are associated with increased socioeconomic costs and reduced quality of life. Smartphones have become an influential platform, providing feasible tools such as health apps to deliver tailored support to enhance the ability of patients with diabetes for self-management. Gro Health is a National Health Service division X-certified digital health tool used to deliver educational and monitoring support to facilitate the development of skills and practices for maintaining good health. OBJECTIVE This study aims to assess self-reported outcomes of the Gro Health app among users with diabetes and prediabetes and identify the factors that determine engagement with the digital health tool. METHODS This was a service evaluation of self-reported data collected prospectively by the developers of the Gro Health app. The EQ-5D questionnaire is a standardized tool used to measure health status for clinical and economic appraisal. Gro Health users completed the EQ-5D at baseline and 6 months after using the app. Users provided informed consent for the use of their anonymized data for research purposes. EQ-5D index scores and visual analogue scale (VAS) scores were calculated at baseline and 6 months for individuals with prediabetes and type 2 diabetes. Descriptive statistics and multiple-regression models were used to assess changes in the outcome measures and determine factors that affected engagement with the digital tool. RESULTS A total of 84% (1767/2114) of Gro Health participants completed EQ-5D at baseline and 6 months. EQ-5D index scores are average values that reflect people's preferences about their health state (1=full health and 0=moribund). There was a significant and clinically meaningful increase in mean EQ-5D index scores among app users between baseline (0.746, SD 0.23) and follow-up (0.792, SD 0.22; P<.001). The greatest change was observed in the mean VAS score, with a percentage change of 18.3% improvement (61.7, SD 18.1 at baseline; 73.0, SD 18.8 at follow-up; P<.001). Baseline EQ-5D index scores, age, and completion of educational modules were associated with significant changes in the follow-up EQ-5D index scores, with baseline EQ-5D index scores, race and ethnicity, and completion of educational modules being significantly associated with app engagement (P<.001). CONCLUSIONS This study provides evidence of a significant positive effect on self-reported quality of life among people living with type 2 diabetes engaging with a digital health intervention. The improvements, as demonstrated by the EQ-5D questionnaire, are facilitated through access to education and monitoring support tools within the app. This provides an opportunity for health care professionals to incorporate National Health Service-certified digital tools, such as Gro Health, as part of the holistic management of people living with diabetes.
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Affiliation(s)
- Farah Abdelhameed
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Eilish Pearson
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Nick Parsons
- Statistics and Epidemiology Unit, Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Thomas M Barber
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Arjun Panesar
- Diabetes Digital Media Health, Coventry, United Kingdom
| | | | | | - Petra Hanson
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
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13
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Kime N, Zwolinsky S, Pringle A. Evaluation of the DigiBete App, a Self-Management App for Type 1 Diabetes: Experiences of Young People, Families, and Healthcare Professionals. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1933. [PMID: 38136135 PMCID: PMC10741907 DOI: 10.3390/children10121933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/21/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023]
Abstract
Type 1 diabetes (T1DM) is a public health issue for children, young people, and families (CYPF) and requires innovative interventions. The DigiBete app is a self-management and educational app to help CYPF and healthcare professionals (HCPs) manage T1DM, featuring educational advice and resources such as guidance, quizzes, and educational and instructional videos on how to manage T1DM. To assess the impact and implementation of the app, the service-level evaluation deployed a mixed-methods design. App data were captured via the DigiBete platform and an online survey with a non-probability sample of HCPs (N = 178) and CYPF (N = 1165) = 1343. Overall, 55.7% (n = 512/919) of app users were female, and 4855 videos were viewed across the participating areas, with an average of 1213 videos per site (range 776-1679) and 4.4 videos per app user. The most popular videos were how to give a glucagon injection and "My Sick Day Rules", which showed what to do when CYPF were unwell due to T1DM. Interviews (n = 63) were undertaken with 38 CYPF and 25 HCPs. The findings indicate that CYPF and HCPs found the app an essential tool in the management of T1DM. CYPF and HCPs felt the app provided a valuable educational resource in a central location that was invaluable in an emergency or unknown situation. The app was a trusted and bona-fide source of information that could be accessed at any time. HCPs validated DigiBete in helping CYPF to manage their T1DM. At the same time, the app saved HCPs' service time and money and helped CYPF take back some of the control in managing their diabetes.
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Affiliation(s)
- Nicky Kime
- Bradford Institute for Health Research, Temple Bank House, Bradford Royal Infirmary, Bradford BD9 6RJ, UK;
| | - Steve Zwolinsky
- West Yorkshire & Harrogate Cancer Alliance, White Rose House, West Parade, Wakefield WF1 1LT, UK;
| | - Andy Pringle
- Clinical Exercise and Rehabilitation Research Centre, School of Sport and Exercise Sciences, University of Derby, Derby DE22 1GB, UK
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14
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Chong SOK, Pedron S, Abdelmalak N, Laxy M, Stephan AJ. An umbrella review of effectiveness and efficacy trials for app-based health interventions. NPJ Digit Med 2023; 6:233. [PMID: 38104213 PMCID: PMC10725431 DOI: 10.1038/s41746-023-00981-x] [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: 07/06/2023] [Accepted: 11/29/2023] [Indexed: 12/19/2023] Open
Abstract
Health interventions based on mobile phone or tablet applications (apps) are promising tools to help patients manage their conditions more effectively. Evidence from randomized controlled trials (RCTs) on efficacy and effectiveness of such interventions is increasingly available. This umbrella review aimed at mapping and narratively summarizing published systematic reviews on efficacy and effectiveness of mobile app-based health interventions within patient populations. We followed a pre-specified publicly available protocol. Systematic reviews were searched in two databases from inception until August 28, 2023. Reviews that included RCTs evaluating integrated or stand-alone health app interventions in patient populations with regard to efficacy/effectiveness were considered eligible. Information on indications, outcomes, app characteristics, efficacy/effectiveness results and authors' conclusions was extracted. Methodological quality was assessed using the AMSTAR2 tool. We identified 48 systematic reviews published between 2013 and 2023 (35 with meta-analyses) that met our inclusion criteria. Eleven reviews included a broad spectrum of conditions, thirteen focused on diabetes, five on anxiety and/or depression, and others on various other indications. Reported outcomes ranged from medication adherence to laboratory, anthropometric and functional parameters, symptom scores and quality of life. Fourty-one reviews concluded that health apps may be effective in improving health outcomes. We rated one review as moderate quality. Here we report that the synthesized evidence on health app effectiveness varies largely between indications. Future RCTs should consider reporting behavioral (process) outcomes and measures of healthcare resource utilization to provide deeper insights on mechanisms that make health apps effective, and further elucidate their impact on healthcare systems.
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Affiliation(s)
- Sherry On Ki Chong
- Professorship of Public Health and Prevention, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Sara Pedron
- Professorship of Public Health and Prevention, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Nancy Abdelmalak
- Professorship of Public Health and Prevention, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Michael Laxy
- Professorship of Public Health and Prevention, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Anna-Janina Stephan
- Professorship of Public Health and Prevention, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
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15
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Ruissen MM, Torres-Peña JD, Uitbeijerse BS, Arenas de Larriva AP, Huisman SD, Namli T, Salzsieder E, Vogt L, Ploessnig M, van der Putte B, Merle A, Serra G, Rodríguez G, de Graaf AA, de Koning EJP, Delgado-Lista J, Sont JK. Clinical impact of an integrated e-health system for diabetes self-management support and shared decision making (POWER2DM): a randomised controlled trial. Diabetologia 2023; 66:2213-2225. [PMID: 37775611 PMCID: PMC10627940 DOI: 10.1007/s00125-023-06006-2] [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: 02/23/2023] [Accepted: 07/21/2023] [Indexed: 10/01/2023]
Abstract
AIMS/HYPOTHESIS There is a lack of e-health systems that integrate the complex variety of aspects relevant for diabetes self-management. We developed and field-tested an e-health system (POWER2DM) that integrates medical, psychological and behavioural aspects and connected wearables to support patients and healthcare professionals in shared decision making and diabetes self-management. METHODS Participants with type 1 or type 2 diabetes (aged >18 years) from hospital outpatient diabetes clinics in the Netherlands and Spain were randomised using randomisation software to POWER2DM or usual care for 37 weeks. This RCT assessed the change in HbA1c between the POWER2DM and usual care groups at the end of the study (37 weeks) as a primary outcome measure. Participants and clinicians were not blinded to the intervention. Changes in quality of life (QoL) (WHO-5 Well-Being Index [WHO-5]), diabetes self-management (Diabetes Self-Management Questionnaire - Revised [DSMQ-R]), glycaemic profiles from continuous glucose monitoring devices, awareness of hypoglycaemia (Clarke hypoglycaemia unawareness instrument), incidence of hypoglycaemic episodes and technology acceptance were secondary outcome measures. Additionally, sub-analyses were performed for participants with type 1 and type 2 diabetes separately. RESULTS A total of 226 participants participated in the trial (108 with type 1 diabetes; 118 with type 2 diabetes). In the POWER2DM group (n=111), HbA1c decreased from 60.6±14.7 mmol/mol (7.7±1.3%) to 56.7±12.1 mmol/mol (7.3±1.1%) (means ± SD, p<0.001), compared with no change in the usual care group (n=115) (baseline: 61.7±13.7 mmol/mol, 7.8±1.3%; end of study: 61.0±12.4 mmol/mol, 7.7±1.1%; p=0.19) (between-group difference 0.24%, p=0.008). In the sub-analyses in the POWER2DM group, HbA1c in participants with type 2 diabetes decreased from 62.3±17.3 mmol/mol (7.9±1.6%) to 54.3±11.1 mmol/mol (7.1±1.0%) (p<0.001) compared with no change in HbA1c in participants with type 1 diabetes (baseline: 58.8±11.2 mmol/mol [7.5±1.0%]; end of study: 59.2±12.7 mmol/mol [7.6±1.2%]; p=0.84). There was an increase in the time during which interstitial glucose levels were between 3.0 and 3.9 mmol/l in the POWER2DM group, but no increase in clinically relevant hypoglycaemia (interstitial glucose level below 3.0 mmol/l). QoL improved in participants with type 1 diabetes in the POWER2DM group compared with the usual care group (baseline: 15.7±3.8; end of study: 16.3±3.5; p=0.047 for between-group difference). Diabetes self-management improved in both participants with type 1 diabetes (from 7.3±1.2 to 7.7±1.2; p=0.002) and those with type 2 diabetes (from 6.5±1.3 to 6.7±1.3; p=0.003) within the POWER2DM group. The POWER2DM integrated e-health support was well accepted in daily life and no important adverse (or unexpected) effects or side effects were observed. CONCLUSIONS/INTERPRETATION POWER2DM improves HbA1c levels compared with usual care in those with type 2 diabetes, improves QoL in those with type 1 diabetes, improves diabetes self-management in those with type 1 and type 2 diabetes, and is well accepted in daily life. TRIAL REGISTRATION ClinicalTrials.gov NCT03588104. FUNDING This study was funded by the European Union's Horizon 2020 Research and Innovation Programme (grant agreement number 689444).
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Affiliation(s)
- Merel M Ruissen
- Department of Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Department of Biomedical Data Sciences, Medical Decision Making Section, Leiden University Medical Center, Leiden, the Netherlands
| | - José D Torres-Peña
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofía University Hospital, Córdoba, Spain
- Department of Medical and Surgical Sciences, University of Córdoba, Córdoba, Spain
- Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Bas S Uitbeijerse
- Department of Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Antonio P Arenas de Larriva
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofía University Hospital, Córdoba, Spain
- Department of Medical and Surgical Sciences, University of Córdoba, Córdoba, Spain
- Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Sasja D Huisman
- Department of Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Tuncay Namli
- SRDC Software Research & Development and Consultancy Corp., Ankara, Turkey
| | | | - Lutz Vogt
- Diabetes Service Center GmbH, Karlsburg, Germany
| | | | | | | | | | | | - Albert A de Graaf
- Netherlands Organization for Applied Scientific Research (TNO), Utrecht, the Netherlands
| | - Eelco J P de Koning
- Department of Medicine, Leiden University Medical Center, Leiden, the Netherlands.
| | - Javier Delgado-Lista
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofía University Hospital, Córdoba, Spain
- Department of Medical and Surgical Sciences, University of Córdoba, Córdoba, Spain
- Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Jacob K Sont
- Department of Biomedical Data Sciences, Medical Decision Making Section, Leiden University Medical Center, Leiden, the Netherlands
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16
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Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. Int J Med Inform 2023; 180:105273. [PMID: 37925856 DOI: 10.1016/j.ijmedinf.2023.105273] [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: 08/10/2023] [Revised: 10/21/2023] [Accepted: 10/25/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Type 2 diabetes (T2DM) is highly prevalent in China, affecting over 114 million people. While mHealth interventions have shown promise, there is limited research on T2DM management apps in real-world app stores. OBJECTIVE This study aimed to systematically search and analyze T2DM care mobile apps in the Chinese market, describing their features, and functions, and evaluating the quality of the most popular apps using validated tools. METHODS We conducted a comprehensive search in Chinese Android and iOS app stores for T2DM management apps. We downloaded 138 eligible ones for a general review of their key features and function. We also assessed the quality of the top 20 apps from both platforms using the Mobile App Rating Scale (MARS) by both researcher and patient. RESULTS A total of 3524 apps were searched. 138 eligible apps were downloaded for general review and 29 popular apps were included for quality assessment. Most apps were designed for patient users (87.0 %) and developed by commercial companies (85.5 %). Common functions included blood glucose monitoring, diabetes education, integration with measuring devices, medication adherence reminders, teleconsultation services, and diabetes risk factor tracking. The researcher's evaluation yielded an average MARS score of 4.0 out of 5 for popular apps, with subscale scores of functionalities (4.5), aesthetics (4.1), engagement (3.7), and information (3.6). However, patient ratings were lower in functionality (3.5), aesthetics (3.4), and engagement (2.6), and the patient faced difficulties with information-related items. Similar trends were observed in subject quality items. CONCLUSION App developers should engage caregivers, and family members as target users, and involve government agencies as partners to improve T2DM management apps. Future apps should incorporate scientifically proven advanced functions to enhance their effectiveness. The quality assessment highlighted weaknesses in engagement and information and the importance of user-centric approaches in app development.
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Affiliation(s)
- Xuanchen Tao
- The George Institute for Global Health, University of New South Wales, Sydney, Australia; The George Institute for Global Health, Beijing, China
| | - Puhong Zhang
- The George Institute for Global Health, Beijing, China
| | - Xinyi Zhang
- The George Institute for Global Health, Beijing, China
| | - Limin Mao
- Center for Social Research in Health, University of New South Wales, Sydney, Australia
| | - David Peiris
- The George Institute for Global Health, University of New South Wales, Sydney, Australia.
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17
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Sze WT, Kow SG. Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study. JMIR Diabetes 2023; 8:e40968. [PMID: 37870903 PMCID: PMC10628693 DOI: 10.2196/40968] [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: 07/12/2022] [Revised: 11/18/2022] [Accepted: 01/24/2023] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND Effective self-management of diabetes is crucial for improving clinical outcomes by maintaining glucose levels and preventing the exacerbation of the condition. Mobile health (mHealth) has demonstrated its significance in enhancing self-management practices. However, only 20% of Malaysians are familiar with mHealth technologies and use them for health management. OBJECTIVE This study aims to explore the perceived benefits and challenges, needs and preferences, and willingness of patients with diabetes to use mHealth apps for self-management of diabetes. METHODS The study involved one-on-one semistructured online interviews with a total of 15 participants, all of whom were aged 18 years or older and had been diagnosed with diabetes for more than 6 months. An interview guide was developed based on the constructs of the Technology Acceptance Model (TAM), the Health Information Technology Acceptance Model (HITAM), and the aesthetics factor derived from the Mobile Application Rating Scale. All interviews were recorded in audio format and transcribed verbatim. The interview content was then organized and coded using ATLAS.ti version 8. Thematic analysis was conducted in accordance with the recommended guidelines for analyzing the data. RESULTS From the interviews with participants, 3 key themes emerged regarding the perceived benefits of using mHealth app support in diabetes self-management. These themes were the ability to track and monitor diabetes control, assistance in making lifestyle modifications, and the facilitation of more informed treatment decision-making for health care professionals. The interviews with participants revealed 4 prominent themes regarding the perceived barriers to using mHealth app support for diabetes self-management. These themes were a lack of awareness about the availability of mHealth support, insufficient support in using mHealth apps, the perception that current mHealth apps do not align with users' specific needs, and limited digital literacy among users. The interviews with participants unveiled 4 key themes related to their needs and preferences concerning mHealth app support for diabetes self-management. These themes were the desire for educational information, user-friendly design features, carbohydrate-counting functionality, and the ability to engage socially with both peers and health care professionals. The majority of participants expressed their willingness to use mHealth apps if they received recommendations and guidance from health care professionals. CONCLUSIONS Patients generally perceive mHealth app support as beneficial for diabetes self-management and are willing to use these apps, particularly if recommended by health care professionals. However, several barriers may hinder the utilization of mHealth apps, including a lack of awareness and recommendations regarding these apps from health care professionals. To ensure the effective development of mHealth app support systems for diabetes self-management, it is crucial to implement user-centered design processes that consider the specific needs and preferences of patients. This approach will help create apps that are tailored to the requirements of individuals managing diabetes.
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Affiliation(s)
- Wei Thing Sze
- Faculty of Pharmacy, SEGi University, Selangor, Malaysia
- Department of Biomedical Informatics, The University of Tokyo, Tokyo, Japan
| | - Suk Guan Kow
- Faculty of Pharmacy, SEGi University, Selangor, Malaysia
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18
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Sadler S, Gerrard J, Searle A, Lanting S, West M, Wilson R, Ginige A, Fang KY, Chuter V. The Use of mHealth Apps for the Assessment and Management of Diabetes-Related Foot Health Outcomes: Systematic Review. J Med Internet Res 2023; 25:e47608. [PMID: 37792467 PMCID: PMC10585435 DOI: 10.2196/47608] [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: 03/26/2023] [Revised: 07/19/2023] [Accepted: 08/04/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Globally, diabetes affects approximately 500 million people and is predicted to affect up to 700 million people by 2045. In Australia, the ongoing impact of colonization produces inequity in health care delivery and inequality in health care outcomes for First Nations Peoples, with diabetes rates 4 times those of non-Indigenous Australians. Evidence-based clinical practice has been shown to reduce complications of diabetes-related foot disease, including ulceration and amputation, by 50%. However, factors such as a lack of access to culturally safe care, geographical remoteness, and high costs associated with in-person care are key barriers for First Nations Peoples in accessing evidence-based care, leading to the development of innovative mobile health (mHealth) apps as a way to increase access to health services and improve knowledge and self-care management for people with diabetes. OBJECTIVE This study aims to evaluate studies investigating the use of mHealth apps for the assessment and management of diabetes-related foot health in First Nations Peoples in Australia and non-Indigenous populations globally. METHODS PubMed, Informit's Indigenous Collection database, Ovid MEDLINE, Embase, CINAHL Complete, and Scopus were searched from inception to September 8, 2022. Hand searches of gray literature and reference lists of included studies were conducted. Studies describing mHealth apps developed for the assessment and management of diabetes-related foot health were eligible. Studies must include an evaluation (qualitative or quantitative) of the mHealth app. No language, publication date, or publication status restrictions were used. Quality appraisal was performed using the revised Cochrane risk-of-bias tool for randomized trials and the Health Evidence Bulletins Wales checklists for observational, cohort, and qualitative studies. RESULTS No studies specifically including First Nations Peoples in Australia were identified. Six studies in non-Indigenous populations with 361 participants were included. Foot care education was the main component of all mHealth apps. Of the 6 mHealth apps, 2 (33%) provided functionality for participants to enter health-related data; 1 (17%) included a messaging interface. The length of follow-up ranged from 1-6 months. Of the 6 studies, 1 (17%) reported high levels of acceptability of the mHealth app content for self-care by people with diabetes and diabetes specialists; the remaining 5 (83%) reported that participants had improved diabetes-related knowledge and self-management skills after using their mHealth app. CONCLUSIONS The findings from this systematic review provide an overview of the features deployed in mHealth apps and indicate that this type of intervention can improve knowledge and self-care management skills in non-Indigenous people with diabetes. Future research needs to focus on mHealth apps for populations where there is inadequate or ineffective service delivery, including for First Nations Peoples and those living in geographically remote areas, as well as evaluate direct effects on diabetes-related foot disease outcomes. TRIAL REGISTRATION PROSPERO CRD42022349087; https://tinyurl.com/35u6mmzd.
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Affiliation(s)
- Sean Sadler
- Western Sydney University, Campbelltown, Australia
- University of Newcastle, Ourimbah, Australia
| | - James Gerrard
- Western Sydney University, Campbelltown, Australia
- University of Newcastle, Ourimbah, Australia
- Central Australian Aboriginal Congress, Mparntwe (Alice Springs), Australia
| | | | - Sean Lanting
- Western Sydney University, Campbelltown, Australia
- University of Newcastle, Ourimbah, Australia
| | - Matthew West
- Western Sydney University, Campbelltown, Australia
| | - Rhonda Wilson
- University of Newcastle, Gosford, Australia
- Massey University, Auckland, New Zealand
| | | | - Kerry Y Fang
- Western Sydney University, Campbelltown, Australia
| | - Vivienne Chuter
- Western Sydney University, Campbelltown, Australia
- University of Newcastle, Ourimbah, Australia
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Bretschneider MP, Roth L, Schwarz PEH. Effectiveness of a Digital Health Application for the Treatment of Diabetes Type II-A Pilot Study. J Clin Med 2023; 12:6317. [PMID: 37834960 PMCID: PMC10573202 DOI: 10.3390/jcm12196317] [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: 09/11/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
(1) Background: This study aimed at providing preliminary evidence for mebix, an app-based treatment program for patients with diabetes mellitus type II. The main target was to show a positive healthcare impact as defined by improved blood glucose control, i.e., reduced HbA1c values. (2) Methods: For this, a 3-month, prospective, open-label trial with an intraindividual control group was conducted. Participants received the mebix intervention for 3 months. HbA1c values were observed every 3 months: retrospectively, at baseline, and 3 months after the start of using the app. Additionally, weight and patients' reported outcomes (well-being, diabetes-related distress, and self-management) were assessed. Data generated within the app were summarized and analyzed (steps, physical activity, fulfilled tasks, and food logs). (3) Results: After the usage of mebix for 3 months, participants significantly reduced their HbA1c levels (-1.0 ± 0.8%). Moreover, improvements in weight, well-being, and self-management as well as a reduction in diabetes-related distress were observed. App-generated data mainly supported the other main finding, that higher baseline HbA1c values lead to higher reductions. Overall, the study provided preliminary evidence that mebix can help patients improve metabolic and psychological health outcomes.
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Affiliation(s)
- Maxi Pia Bretschneider
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany; (M.P.B.); (P.E.H.S.)
| | - Lena Roth
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany; (M.P.B.); (P.E.H.S.)
| | - Peter E. H. Schwarz
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany; (M.P.B.); (P.E.H.S.)
- Paul Langerhans Institute Dresden, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
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Kumbara AB, Iyer AK, Green CR, Jepson LH, Leone K, Layne JE, Shomali M. Impact of a Combined Continuous Glucose Monitoring-Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study. JMIR Diabetes 2023; 8:e47638. [PMID: 37590491 PMCID: PMC10520761 DOI: 10.2196/47638] [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: 03/28/2023] [Revised: 06/07/2023] [Accepted: 08/16/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND The BlueStar (Welldoc) digital health solution for people with diabetes incorporates data from multiple devices and generates coaching messages using artificial intelligence. The BlueStar app syncs glucose data from the G6 (Dexcom) real-time continuous glucose monitoring (RT-CGM) system, which provides a glucose measurement every 5 minutes. OBJECTIVE The objective of this real-world study of people with type 2 diabetes (T2D) using the digital health solution and RT-CGM was to evaluate change in glycemic control and engagement with the program over 3 months. METHODS Participants were current or former enrollees in an employer-sponsored health plan, were aged 18 years or older, had a T2D diagnosis, and were not using prandial insulin. Outcomes included CGM-based glycemic metrics and engagement with the BlueStar app, including logging medications taken, exercise, food details, blood pressure, weight, and hours of sleep. RESULTS Participants in the program that met our analysis criteria (n=52) were aged a mean of 53 (SD 9) years; 37% (19/52) were female and approximately 50% (25/52) were taking diabetes medications. The RT-CGM system was worn 90% (SD 8%) of the time over 3 months. Among individuals with suboptimal glycemic control at baseline, defined as mean glucose >180 mg/dL, clinically meaningful improvements in glycemic control were observed, including reductions in a glucose management indicator (-0.8 percentage points), time above range 181-250 mg/dL (-4.4 percentage points) and time above range >250 mg/dL (-14 percentage points; all P<.05). Time in range 70-180 mg/dL also increased by 15 percentage points (P=.016) in this population, which corresponds to an increase of approximately 3.5 hours per day in the target range. Over the 3-month study, 29% (15/52) of participants completed at least one engagement activity per week. Medication logging was completed most often by participants (23/52, 44%) at a rate of 12.1 (SD 0.8) events/week, and this was closely followed by exercise and food logging. CONCLUSIONS The combination of an artificial intelligence-powered digital health solution and RT-CGM helped people with T2D improve their glycemic outcomes and diabetes self-management behaviors.
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Affiliation(s)
| | | | | | | | - Keri Leone
- Dexcom, Inc, San Diego, CA, United States
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21
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Sze WT, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. J Biomed Inform 2023; 145:104481. [PMID: 37648101 DOI: 10.1016/j.jbi.2023.104481] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 08/26/2023] [Accepted: 08/27/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVE Investigate the preliminary efficacy and feasibility of a personalized mobile health (mHealth) intervention based on social cognitive theory (SCT) to promote physical activity among type 2 diabetes patients via self-monitoring, goal setting, and automatic feedback. METHODS We conducted a pilot study involving 33 type 2 diabetes patients attending Mitsui Memorial Hospital in Japan using a pre-post evaluation design over 12 weeks. Participants measured daily step count, body weight, and blood pressure at home, with the measurements synchronized with the StepAdd application (app) automatically. Participants used the app to review daily results, update personalized step goals, identify individualized barriers to achieving the step goals, find coping strategies to overcome each barrier, and implement these strategies, thereby building effective coping skills to meet the goals. Pharmacists examined the usage of the app and provided coaching on lifestyle modifications. Ultimately, patients established skills to enhance diabetes self-care by using the app. RESULTS Daily step count increased dramatically with high statistical significance (p < 0.0001), from a mean of 5436 steps/day to 10,150 steps/day, an 86.7 % increase. HbA1c (p = 0.0001) and BMI (p = 0.0038) also improved. Diabetes self-care in diet, exercise, and foot care as well as self-management behavior, self-regulation, and self-efficacy in achieving daily step goals showed significant improvements. The retention rate of the study was very high, at 97.0 % (n = 32). CONCLUSIONS A personalized smartphone-based mHealth intervention based on SCT is feasible and effective at promoting physical activity among type 2 diabetes patients. The methodology of the intervention could be readily applied to other patient populations.
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Affiliation(s)
- Wei Thing Sze
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan
| | - Kayo Waki
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Syunpei Enomoto
- Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan
| | - Yuuki Nagata
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuhiko Ohe
- Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Planning, Information and Management, The University of Tokyo Hospital, Tokyo, Japan
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Ash GI, Nally LM, Stults-Kolehmainen M, De Los Santos M, Jeon S, Brandt C, Gulanski BI, Spanakis EK, Baker JS, Weinzimer SA, Fucito LM. Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes. Clin J Sport Med 2023; 33:512-520. [PMID: 36715983 PMCID: PMC10898917 DOI: 10.1097/jsm.0000000000001078] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Pilot-test personalized digital health information to substantiate human-delivered exercise support for adults with type 1 diabetes (T1D). DESIGN Single-group, 2-week baseline observation, then 10-week intervention with follow-up observation. SETTING Community-based sample participating remotely with physician oversight. PARTICIPANTS Volunteers aged 18 to 65 years with T1D screened for medical readiness for exercise intervention offerings. N = 20 enrolled, and N = 17 completed all outcomes with 88% to 91% biosensor adherence. INTERVENTION Feedback on personalized data from continuous glucose monitoring (CGM), its intersection with other ecological data sets (exercise, mood, and sleep), and other informational and motivational elements (exercise videos, text-based exercise coach, and self-monitoring diary). MAIN OUTCOME MEASURES Feasibility (use metrics and assessment completion), safety (mild and severe hypoglycemia, and diabetic ketoacidosis), acceptability (system usability scale, single items, and interview themes), and standard clinical and psychosocial assessments. RESULTS Participants increased exercise from a median of 0 (Interquartile range, 0-21) to 64 (20-129) minutes per week ( P = 0.001, d = 0.71) with no severe hypoglycemia or ketoacidosis. Body mass index increased (29.5 ± 5.1 to 29.8 ± 5.4 kg/m 2 , P = 0.02, d = 0.57). Highest satisfaction ratings were for CGM use (89%) and data on exercise and its intersection with CGM and sleep (94%). Satisfaction was primarily because of improved exercise management behavioral skills, although derived motivation was transient. CONCLUSIONS The intervention was feasible, safe, and acceptable. However, there is a need for more intensive, sustained support. Future interventions should perform analytics upon the digital health information and molecular biomarkers (eg, genomics) to make exercise support tools that are more personalized, automated, and intensive than our present offerings.
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Affiliation(s)
- Garrett I Ash
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
- Yale University, New Haven, Connecticut
| | | | - Matthew Stults-Kolehmainen
- Yale-New Haven Hospital, New Haven, Connecticut
- Teachers College - Columbia University, New York, New York
| | | | | | - Cynthia Brandt
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
- Yale University, New Haven, Connecticut
| | - Barbara I Gulanski
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
- Yale University, New Haven, Connecticut
| | - Elias K Spanakis
- Veterans Affairs Maryland Healthcare System, Baltimore, Maryland
- University of Maryland, Baltimore, Maryland; and
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23
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Giovanazzi A, Gios L, Mastellaro M, Gentilini MA, Valent F, Condini S, Bincoletto G, Bacchiega A, Zorzi A, Malfatti G, Perini F, Eccher C, Marchesoni M, Dall'Alda M, Orrasch M, Conforti D, Inchiostro S. Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study). Trials 2023; 24:513. [PMID: 37563665 PMCID: PMC10413726 DOI: 10.1186/s13063-023-07515-6] [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: 12/11/2022] [Accepted: 07/16/2023] [Indexed: 08/12/2023] Open
Abstract
INTRODUCTION Type 2 diabetes mellitus (T2DM) is a non-communicable disease representing one of the most serious public health challenges of the twenty-first century. Its incidence continues to rise in both developed and developing countries, causing the death of 1.5 million people every year. The use of technology (e.g. smartphone application-App) in the health field has progressively increased as it has been proved to be effective in helping individuals manage their long-term diseases. Therefore, it has the potential to reduce the use of health service and its related costs. The objective of this study is to evaluate the impact of using a digital platform called "TreC Diabete" embedded into a novel organisational asset targeting poorly controlled T2DM individuals in the Autonomous Province of Trento (PAT), Italy. METHODS This trial was designed as a multi-centre, open-label, randomised, superiority study with two parallel groups and a 1:1 allocation ratio. Individuals regularly attending outpatient diabetes clinics, providing informed consent, are randomised to be prescribed TreC Diabete platform as part of their personalised care plan. Healthcare staff members will remotely assess the data shared by the participants through the App by using a dedicated online medical dashboard. The primary end-point is the evaluation of the Hb1Ac level at 12-month post-randomisation. Data will be analysed on an intention-to-treat (ITT) basis. DISCUSSION This trial is the first conducted in the PAT area for the use of an App specifically designed for individuals with poorly controlled T2DM. If the effects of introducing this specific App within a new organisational asset are positive, the digital platform will represent a possible way for people diagnosed with T2DM to better manage their health in the future. Results will be disseminated through conferences and peer-reviewed journals once the study is completed. TRIAL REGISTRATION ClinicalTrials.gov NCT05629221. Registered on November 29, 2022, prior start of inclusion.
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Affiliation(s)
- Alexia Giovanazzi
- Azienda Provinciale Per I Servizi Sanitari, Provincia Autonoma Di Trento, Trento, Italy
| | - Lorenzo Gios
- TrentinoSalute4.0, Competence Center for Digital Health, Trento, Italy
| | - Marina Mastellaro
- Azienda Provinciale Per I Servizi Sanitari, Provincia Autonoma Di Trento, Trento, Italy
| | | | - Francesca Valent
- Servizio di Igiene e Sanità Pubblica, Dipartimento di Prevenzione, Azienda sanitaria universitaria Friuli Centrale, Gemona del Friuli, Italy
| | - Sara Condini
- Azienda Provinciale Per I Servizi Sanitari, Provincia Autonoma Di Trento, Trento, Italy
| | - Giorgia Bincoletto
- Facoltà Di Giurisprudenza, Università Degli Studi Di Trento, Trento, Italy
| | | | | | - Giulia Malfatti
- TrentinoSalute4.0, Competence Center for Digital Health, Trento, Italy
| | - Francesca Perini
- TrentinoSalute4.0, Competence Center for Digital Health, Trento, Italy
| | | | | | - Marlene Dall'Alda
- Azienda Provinciale Per I Servizi Sanitari, Provincia Autonoma Di Trento, Trento, Italy
| | - Massimo Orrasch
- Azienda Provinciale Per I Servizi Sanitari, Provincia Autonoma Di Trento, Trento, Italy
| | | | - Sandro Inchiostro
- Azienda Provinciale Per I Servizi Sanitari, Provincia Autonoma Di Trento, Trento, Italy.
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Wasserman S, Ould Brahim L, Attiya A, Belzile E, Lambert SD. An Evaluation of Interactive mHealth Applications for Adults Living with Cancer. Curr Oncol 2023; 30:7151-7166. [PMID: 37622999 PMCID: PMC10453401 DOI: 10.3390/curroncol30080518] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 08/26/2023] Open
Abstract
This study evaluated the quality and usefulness of interactive mobile health (mHealth) applications (apps) for adults with cancer. The PRISMA guidelines were followed to add rigor to the search, as well as to the data collection and analysis. The apps available in the most used app stores (Google Play and Apple) with interactive tailored features were identified. To supplement this, a Google web search was also conducted. The apps were evaluated for their quality using the validated Mobile App Rating Scale (MARS) and for their usefulness using a checklist of end users' desired features derived from the literature. The searches returned 3046 apps and 17 were retained for evaluation. The average quality score of the apps across the sample was 3.62/5 (SD 0.26, range: 3.14-4.06), with Outcomes4me scoring the highest. On average, the apps scored 50% (SD 2.5, range: 31-88%) on the usefulness checklist, with Cancer.net scoring the highest. The lowest-scoring categories were communications features on the usefulness checklist and "information" on the MARS, indicating areas for future work. The findings identified the apps of an acceptable quality and usefulness that could be recommended to those with cancer.
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Affiliation(s)
- Sydney Wasserman
- St. Mary’s Research Centre, Montreal, QC H3T 1M5, Canada; (S.W.); (L.O.B.); (E.B.)
- Ingram School of Nursing, Faculty of Medicine and Health Science, McGill University, Montréal, QC H3A 0G4, Canada
| | - Lydia Ould Brahim
- St. Mary’s Research Centre, Montreal, QC H3T 1M5, Canada; (S.W.); (L.O.B.); (E.B.)
- Ingram School of Nursing, Faculty of Medicine and Health Science, McGill University, Montréal, QC H3A 0G4, Canada
| | - Ameer Attiya
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montréal, QC H3C 3J7, Canada;
| | - Eric Belzile
- St. Mary’s Research Centre, Montreal, QC H3T 1M5, Canada; (S.W.); (L.O.B.); (E.B.)
| | - Sylvie D. Lambert
- St. Mary’s Research Centre, Montreal, QC H3T 1M5, Canada; (S.W.); (L.O.B.); (E.B.)
- Ingram School of Nursing, Faculty of Medicine and Health Science, McGill University, Montréal, QC H3A 0G4, Canada
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Diez Alvarez S, Fellas A, Santos D, Sculley D, Wynne K, Acharya S, Navathe P, Girones X, Coda A. The Clinical Impact of Flash Glucose Monitoring-a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review. JMIR Diabetes 2023; 8:e42389. [PMID: 36920464 PMCID: PMC10131890 DOI: 10.2196/42389] [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: 09/01/2022] [Revised: 12/29/2022] [Accepted: 01/19/2023] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Type 2 diabetes has a growing prevalence and confers significant cost burden to the health care system, raising the urgent need for cost-effective and easily accessible solutions. The management of type 2 diabetes requires significant commitment from the patient, caregivers, and the treating team to optimize clinical outcomes and prevent complications. Technology and its implications for the management of type 2 diabetes is a nascent area of research. The impact of some of the more recent technological innovations in this space, such as continuous glucose monitoring, flash glucose monitoring, web-based applications, as well as smartphone- and smart watch-based interactive apps has received limited attention in the research literature. OBJECTIVE This scoping review aims to explore the literature available on type 2 diabetes, flash glucose monitoring, and digital health technology to improve diabetic clinical outcomes and inform future research in this area. METHODS A scoping review was undertaken by searching Ovid MEDLINE and CINAHL databases. A second search using all identified keywords and index terms was performed on Ovid MEDLINE (January 1966 to July 2021), EMBASE (January 1980 to July 2021), Cochrane Central Register of Controlled Trials (CENTRAL; the Cochrane Library, latest issue), CINAHL (from 1982), IEEE Xplore, ACM Digital Libraries, and Web of Science databases. RESULTS There were very few studies that have explored the use of mobile health and flash glucose monitoring in type 2 diabetes. These studies have explored somewhat disparate and limited areas of research, and there is a distinct lack of methodological rigor in this area of research. The 3 studies that met the inclusion criteria have addressed aspects of the proposed research question. CONCLUSIONS This scoping review has highlighted the lack of research in this area, raising the opportunity for further research in this area, focusing on the clinical impact and feasibility of the use of multiple technologies, including flash glucose monitoring in the management of patients with type 2 diabetes.
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Affiliation(s)
- Sergio Diez Alvarez
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
| | - Antoni Fellas
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Ourimbah, Australia
| | - Derek Santos
- School of Health Sciences, Queen Margaret University, Edinburgh, United Kingdom
| | - Dean Sculley
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
| | - Katie Wynne
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
- Equity in Health and Wellbeing Research Program, Hunter Medical Research Institute, Newcastle, Australia
- Department of Diabetes and Endocrinology, Hunter New England Health, John Hunter Hospital, Newcastle, Australia
| | - Shamasunder Acharya
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, Australia
- Department of Diabetes and Endocrinology, Hunter New England Health, John Hunter Hospital, Newcastle, Australia
| | - Pooshan Navathe
- Central Queensland Hospital and Health Service, Brisbane, Australia
| | - Xavier Girones
- Department of Research, Universities de Catalunya, Generalitat de Catalunya, Barcelona, Cataluna, Spain
| | - Andrea Coda
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Ourimbah, Australia
- Equity in Health and Wellbeing Research Program, Hunter Medical Research Institute, Newcastle, Australia
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Usability Evaluation by Primary Care Providers of a Novel Digital Intervention for Type 2 Diabetes Self-Management in Older Adults. Comput Inform Nurs 2023:00024665-990000000-00099. [PMID: 36917221 DOI: 10.1097/cin.0000000000001016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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Wangler J, Jansky M. Attitudes and experiences of registered diabetes specialists in using health apps for managing type 2 diabetes: results from a mixed-methods study in Germany 2021/2022. Arch Public Health 2023; 81:36. [PMID: 36882859 PMCID: PMC9990333 DOI: 10.1186/s13690-023-01051-0] [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: 08/22/2022] [Accepted: 02/28/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Hardly any area of application for health apps is seen to be as promising as health and lifestyle support in type 2 diabetes mellitus. Research has emphasised the benefits of such mHealth apps for disease prevention, monitoring, and management, but there is still a lack of empirical data on the role that health apps play in actual type 2 diabetes care. The aim of the present study was to gain an overview of the attitudes and experiences of physicians specialising in diabetes with regard to the benefits of health apps for type 2 diabetes prevention and management. METHODS An online survey was conducted amongst all 1746 physicians at practices specialised in diabetes in Germany between September 2021 and April 2022. A total of 538 (31%) of the physicians contacted participated in the survey. In addition, qualitative interviews were conducted with 16 randomly selected resident diabetes specialists. None of the interviewees took part in the quantitative survey. RESULTS Resident diabetes specialists saw a clear benefit in type 2 diabetes-related health apps, primarily citing improvements in empowerment (73%), motivation (75%), and compliance (71%). Respondents rated self-monitoring for risk factors (88%), lifestyle-supporting (86%), and everyday routine features (82%) as especially beneficial. Physicians mainly in urban practice environments were open to apps and their use in patient care despite their potential benefit. Respondents expressed reservations and doubts on app user-friendliness in some patient groups (66%), privacy in existing apps (57%), and the legal conditions of using apps in patient care (80%). Of those surveyed, 39% felt capable of advising patients on diabetes-related apps. Most of the physicians that had already used apps in patient care saw positive effects in increased compliance (74%), earlier detection of or reduction in complications (60%), weight reduction (48%), and decreased HbA1c levels (37%). CONCLUSIONS Resident diabetes specialists saw a real-life benefit with added value from health apps for managing type 2 diabetes. Despite the favourable role that health apps may play in disease prevention and management, many physicians expressed reservations regarding usability, transparency, security, and privacy in such apps. These concerns should be addressed more intensively towards bringing about ideal conditions for integrating health apps successfully in diabetes care. This includes uniform standards governing quality, privacy, and legal conditions as binding as possible with regard to apps and their use in a clinical setting.
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Affiliation(s)
- Julian Wangler
- Center for General Medicine and Geriatrics, University Medical Center of the Johannes Gutenberg University Mainz, Am Pulverturm 13, 55131, Mainz, Germany.
| | - Michael Jansky
- Center for General Medicine and Geriatrics, University Medical Center of the Johannes Gutenberg University Mainz, Am Pulverturm 13, 55131, Mainz, Germany
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Ossai CI, Wickramasinghe N. Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation. Artif Intell Med 2023; 138:102509. [PMID: 36990592 DOI: 10.1016/j.artmed.2023.102509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 07/21/2022] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
The increasing reliance on mobile health for managing disease conditions has opened a new frontier in digital health, thus, the need for understanding what constitutes positive and negative sentiments of the various apps. This paper relies on Embedded Deep Neural Networks (E-DNN), Kmeans, and Latent Dirichlet Allocation (LDA) for predicting the sentiments of diabetes mobile apps users and identifying the themes and sub-themes of positive and negative sentimental users. A total of 38,640 comments from 39 diabetes mobile apps obtained from the google play store are analyzed and accuracy of 87.67 % ± 2.57 % was obtained from a 10-fold leave-one-out cross-validation. This accuracy is 2.95 % - 18.71 % better than other predominant algorithms used for sentiment analysis and 3.47 % - 20.17 % better than the results obtained by previous researchers. The study also identified the challenges of diabetes mobile apps usage to include safety and security issues, outdated information for diabetes management, clumsy user interface, and difficulty controlling operations. The positives of the apps are ease of operation, lifestyle management, effectiveness in communication and control, and data management capabilities.
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Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR Mhealth Uhealth 2023; 11:e41235. [PMID: 36637888 PMCID: PMC9883741 DOI: 10.2196/41235] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 11/15/2022] [Accepted: 11/30/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Cardiovascular disease, cancer, diabetes mellitus, and obesity are common chronic diseases, and their prevalence is reaching an epidemic level worldwide. As the impact of chronic diseases continues to increase, finding strategies to improve care, access to care, and patient empowerment becomes increasingly essential. Health care providers use mobile health (mHealth) to access clinical information, collaborate with care teams, communicate over long distances with patients, and facilitate real-time monitoring and interventions. However, these apps focus on improving general health care concerns, with limited apps focusing on specific chronic diseases and the nutrition involved in the disease state. Hence, available evidence on the effectiveness of mHealth apps toward behavior change to improve chronic disease outcomes is limited. OBJECTIVE The objective of this scoping review was to provide an overview of behavior change effectiveness using mHealth nutrition interventions in people with chronic diseases (ie, cardiovascular disease, diabetes mellitus, cancer, and obesity). We further evaluated the behavior change techniques and theories or models used for behavior change, if any. METHODS A scoping review was conducted through a systematic literature search in the MEDLINE, EBSCO, PubMed, ScienceDirect, and Scopus databases. Studies were excluded from the review if they did not involve an app or nutrition intervention, were written in a language other than English, were duplicates from other database searches, or were literature reviews. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, the systematic review process included 4 steps: identification of records through the database search, screening of duplicate and excluded records, eligibility assessment of full-text records, and final analysis of included records. RESULTS In total, 46 studies comprising 256,430 patients were included. There was diversity in the chronic disease state, study design, number of participants, in-app features, behavior change techniques, and behavior models used in the studies. In addition, our review found that less than half (19/46, 41%) of the studies based their nutrition apps on a behavioral theory or its constructs. Of the 46 studies, 11 (24%) measured maintenance of health behavior change, of which 7 (64%) sustained behavior change for approximately 6 to 12 months and 4 (36%) showed a decline in behavior change or discontinued app use. CONCLUSIONS The results suggest that mHealth apps involving nutrition can significantly improve health outcomes in people with chronic diseases. Tailoring nutrition apps to specific populations is recommended for effective behavior change and improvement of health outcomes. In addition, some studies (7/46, 15%) showed sustained health behavior change, and some (4/46, 9%) showed a decline in the use of nutrition apps. These results indicate a need for further investigation on the sustainability of the health behavior change effectiveness of disease-specific nutrition apps.
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Affiliation(s)
- Emily Salas-Groves
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, United States
| | - Shannon Galyean
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, United States
| | - Michelle Alcorn
- Department of Hospitality & Retail Management, Texas Tech University, Lubbock, TX, United States
| | - Allison Childress
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, United States
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Weitgasser R, Ciardi C, Traub J, Barta M, Riedl M, Clodi M, Ludvik B. [Diabetes education and counseling in adult patients with diabetes (Update 2023)]. Wien Klin Wochenschr 2023; 135:137-142. [PMID: 37101034 PMCID: PMC10133358 DOI: 10.1007/s00508-022-02120-0] [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] [Accepted: 11/09/2022] [Indexed: 04/28/2023]
Abstract
Diabetes education and self-management play a critical role in diabetes care. Patient empowerment aims to actively influence the course of the disease by self-monitoring and subsequent treatment modification as well as the ability of patients to integrate diabetes into their daily life and to appropriately adapt diabetes to their life style situation. Diabetes education has to be made accessible for all persons with the disease. In order to be able to provide a structured and validated education program, adequate personnel as well as space, organizational and financial prerequisites are required. Besides an increase in knowledge about the disease it has been shown that a structured diabetes education is able to improve diabetes outcome as measured by parameters, such as blood glucose, HbA1c, lipids, blood pressure and body weight in follow-up evaluations. Modern education programs emphasize the ability of patients to integrate diabetes into everyday life, stress physical activity besides healthy eating as important components of life style therapy and use interactive methods in order to increase the acceptance of personal responsibility. Specific situations (e.g. impaired hypoglycemia awareness, illness, travel), the occurrence of diabetic complications and the use of technical devices such as glucose sensor systems and insulin pumps require additional educational measures supported by adequate electronic tools (diabetes apps and diabetes web portals). New data demonstrate the effect of telemedicine and internet-based services for diabetes prevention and management.
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Affiliation(s)
- Raimund Weitgasser
- Kompetenzzentrum Diabetes, Privatklinik Wehrle-Diakonissen, Salzburg, Österreich
| | - Christian Ciardi
- Abteilung für Innere Medizin, Krankenhaus St. Vinzenz, Zams, Österreich
| | - Julia Traub
- Ernährungsmedizinischer Dienst, LKH Univ. Klinik Graz, Graz, Österreich
| | - Merlena Barta
- 1. Medizinische Abteilung mit Diabetologie, Endokrinologie und Nephrologie, Klinik Landstraße, Wien, Österreich
| | - Michaela Riedl
- Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Martin Clodi
- Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
- Abteilung für Innere Abteilung, Konventhospital der Barmherzigen Brüder Linz, Linz, Österreich
- ICMR – Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz, Linz, Österreich
| | - Bernhard Ludvik
- 1. Medizinische Abteilung mit Diabetologie, Endokrinologie und Nephrologie, Klinik Landstraße, Wien, Österreich
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Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:64. [PMID: 36612402 PMCID: PMC9819585 DOI: 10.3390/ijerph20010064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
Personal digital health apps for managing diabetes should include functions that enable the provision of pharmaceutical care services and allow within-app communication with pharmacists and other healthcare providers, thereby improving patient outcomes. The primary aim of this study was to assess the functions of diabetes apps that were relevant to providing pharmaceutical care services (i.e., medication management, adherence, non-pharmacological management, interoperability, and communication). Sixteen criteria related to pharmaceutical care were developed and then used to assess ten popular diabetes apps. The highest numbers of pharmaceutical care criteria were met by the apps Diabetes:M and mySugr (11 criteria); Contour™Diabetes, Dario Health, and OneTouch Reveal® (ten); and DiabetesConnect and ESYSTA (nine); followed by Glucose Buddy (eight), meala (seven), and lumind (three). The most prevalent functions were related to promoting adherence and non-pharmacological management, but most criteria relevant to medication management were lacking. Five apps allowed within-app communication between patients and healthcare professionals (HCPs); however, no app included communication with pharmacists. High-quality diabetes apps are powerful tools to support pharmaceutical care and remotely monitor diabetes patients. Improvements are needed as they often lack many medication management functions, including within-app communication with HCPs (especially pharmacists). To maximize diabetes app use and improve outcomes, app developers should consider including pharmacists alongside other healthcare providers when customizing app designs.
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Affiliation(s)
- Bushra Ali Sherazi
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany
- Institute of Pharmacy, Faculty of Pharmaceutical and Allied Health Sciences, Lahore College for Women University, Lahore 54000, Pakistan
| | - Stephanie Laeer
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany
| | | | - Armin Dabidian
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany
| | - Sabina Schlottau
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany
| | - Emina Obarcanin
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University, Universitätsstraße 1, 40225 Düsseldorf, Germany
- Department of Pharmacy, National University Singapore, 18 Science Drive 4, Singapore 117559, Singapore
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Hummel M, Bonn SE, Trolle Lagerros Y. The effect of the smartphone app DiaCert on health related quality of life in patients with type 2 diabetes: results from a randomized controlled trial. Diabetol Metab Syndr 2022; 14:192. [PMID: 36528609 PMCID: PMC9759853 DOI: 10.1186/s13098-022-00965-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus is associated with an increased risk of impaired quality of life. Improving health related quality of life (HRQoL) is therefore an important goal in the multimodal management of diabetes. The aim of this study was to evaluate whether the use of the smartphone app DiaCert, that encourage physical activity by promoting daily steps, also impacts HRQoL in patients with type 2 diabetes. METHODS In this randomized controlled trial, a total of 181 participants with type 2 diabetes were recruited from six health care centers in Stockholm, Sweden. At baseline, participants were randomized 1:1 to the use of the smartphone app DiaCert for a 3 month physical activity intervention in addition to routine care, or to a control group with routine care only. HRQoL was measured using the RAND-36 questionnaire at baseline and at follow-up after 3 months and 6 months. We analysed the HRQoL scores within the intervention and the control groups, respectively, using the Wilcoxon signed-rank test. Between group differences including intervention effect after the 3 month long intervention and after 6 months of follow-up, were assessed using generalized estimating equation models. RESULTS In total, 166 participants, 108 men and 58 women, with complete baseline data on RAND-36 were included in analysis. The mean age was 60.2 (SD 11.4) years and the mean Body Mass Index 30.3 (SD 5.4) kg/m2. The intervention effect, expressed in terms of the difference in change in HRQoL from baseline to follow-up after 3 months of intervention, showed improvement in the health concept role limitations due to physical health problems (- 16.9; 95% CI - 28.5 to - 5.4), role limitations due to emotional problems (- 13.9; 95% CI - 25.8 to - 2.1), and emotional well-being (- 5.7; 95% CI - 10.4 to - 1.0), in the intervention group compared to the control group. No intervention effect was seen at follow-up after 6 months. CONCLUSIONS Being randomized to use the smartphone app DiaCert promoting physical activity for 3 months, improved aspects of both physical and emotional HRQoL in patients with type 2 diabetes compared to routine care, but the effect did not last 3 months after the intervention ended. Trial Registration ClinicalTrials.gov Identifier: NCT03053336.
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Affiliation(s)
- Madeleine Hummel
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, SE-171 76, Stockholm, Sweden.
| | - Stephanie Erika Bonn
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, SE-171 76, Stockholm, Sweden
| | - Ylva Trolle Lagerros
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, SE-171 76, Stockholm, Sweden
- Obesity Center, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
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Yoon S, Kwan YH, Phang JK, Tan WB, Low LL. Personal Goals, Barriers to Self-Management and Desired mHealth Application Features to Improve Self-Care in Multi-Ethnic Asian Patients with Type 2 Diabetes: A Qualitative Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15415. [PMID: 36430134 PMCID: PMC9692780 DOI: 10.3390/ijerph192215415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/02/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
(1) Introduction: The ubiquity of mobile phones suggests the potential of mobile health applications to reach patients with type 2 diabetes and engage them to improve self-care. This study aimed to explore personal goals, barriers to self-management and desired mobile health application features to improve self-care among multi-ethnic Asian patients with type 2 diabetes. (2) Methods: We conducted semi-structured interviews with patients with type 2 diabetes (n = 29). Patients were recruited from a multi-disciplinary center for diabetes and metabolism in Singapore, using a purposive sampling strategy. Various visual materials, collated from existing mobile health application features, were used to facilitate the discussion. Interviews were transcribed verbatim and thematically analyzed. (3) Results: A total of 29 patients participated in 11 focus group discussions or one-on-one interviews. Personal goals for self-management were centered around short-term outcome expectancy, such as better glucose control and a reduced number of medications. Self-management was hampered by competing priorities and limited healthy food options when at work, while a lack of tailored advice from healthcare providers further diminished competence. The desired mobile health app features to improve self-care behaviors included quantifiable goal-setting, personalized nudges based on tracked data, built-in resources from credible sources, in-app social support through virtual interaction with peers and healthcare providers, technology-driven novel data logging and user-defined nudges. (4) Conclusions: We identified a set of app features that may foster motivation to engage in lifestyle modification for patients with T2DM. The findings serve to inform the design of artificial intelligence-enabled mobile health application intervention aimed at improving diabetes self-care.
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Affiliation(s)
- Sungwon Yoon
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore
- Centre for Population Health Research and Implementation, SingHealth Regional Health System, Singapore 828815, Singapore
| | - Yu Heng Kwan
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Pharmacy, National University of Singapore, Singapore 119077, Singapore
- Department of Internal Medicine, Singapore Health Services, Singapore 168753, Singapore
| | - Jie Kie Phang
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore
- Centre for Population Health Research and Implementation, SingHealth Regional Health System, Singapore 828815, Singapore
| | - Wee Boon Tan
- Centre for Population Health Research and Implementation, SingHealth Regional Health System, Singapore 828815, Singapore
- Population Health & Integrated Care Office (PHICO), Singapore General Hospital, Singapore 168753, Singapore
| | - Lian Leng Low
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore
- Centre for Population Health Research and Implementation, SingHealth Regional Health System, Singapore 828815, Singapore
- Population Health & Integrated Care Office (PHICO), Singapore General Hospital, Singapore 168753, Singapore
- Department of Family Medicine and Continuing Care, Singapore General Hospital, Singapore 169856, Singapore
- Post-Acute and Continuing Care, Outram Community Hospital, Singapore 168582, Singapore
- Family Medicine Academic Clinical Program, SingHealth Duke-NUS, Singapore 168753, Singapore
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Sikalidis AK, Kristo AS, Reaves SK, Kurfess FJ, DeLay AM, Vasilaky K, Donegan L. Capacity Strengthening Undertaking-Farm Organized Response of Workers against Risk for Diabetes: (C.S.U.-F.O.R.W.A.R.D. with Cal Poly)-A Concept Approach to Tackling Diabetes in Vulnerable and Underserved Farmworkers in California. SENSORS (BASEL, SWITZERLAND) 2022; 22:8299. [PMID: 36365994 PMCID: PMC9654638 DOI: 10.3390/s22218299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
In our project herein, we use the case of farmworkers, an underserved and understudied population at high risk for Type-2 Diabetes Mellitus (T2DM), as a paradigm of an integrated action-oriented research, education and extension approach involving the development of long-term equitable strategies providing empowerment and tailored-made solutions that support practical decision-making aiming to reduce risk of T2DM and ensuing cardiovascular disease (CVD). A Technology-based Empowerment Didactic module (TEDm) and an Informed Decision-Making enhancer (IDMe) coupled in a smart application (app) for farmworkers aiming to teach, set goals, monitor, and support in terms of nutrition, hydration, physical activity, sleep, and circadian rhythm towards lowering T2DM risk, is to be developed and implemented considering the particular characteristics of the population and setting. In parallel, anthropometric, biochemical, and clinical assessments will be utilized to monitor risk parameters for T2DM and compliance to dietary and wellness plans. The app incorporating anthropometric/clinical/biochemical parameters, dietary/lifestyle behavior, and extent of goal achievement can be continuously refined and improved through machine learning and re-programming. The app can function as a programmable tool constantly learning, adapting, and tailoring its services to user needs helping optimization of practical informed decision-making towards mitigating disease symptoms and associated risk factors. This work can benefit apart from the direct beneficiaries being farmworkers, the stakeholders who will be gaining a healthier, more vibrant workforce, and in turn the local communities.
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Affiliation(s)
- Angelos K. Sikalidis
- Nutrition Program, Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA 93407, USA
- Cal Poly Personalized Nutrition Research Group, California Polytechnic State University, San Luis Obispo, CA 93407, USA
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA 94307, USA
| | - Aleksandra S. Kristo
- Nutrition Program, Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA 93407, USA
- Cal Poly Personalized Nutrition Research Group, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Scott K. Reaves
- Nutrition Program, Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA 93407, USA
- Cal Poly Personalized Nutrition Research Group, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Franz J. Kurfess
- Department of Computer Science and Software Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Ann M. DeLay
- Department of Agriculture Education and Communication, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Kathryn Vasilaky
- Department of Economics, Orfalea College of Business, California Polytechnic State University, San Luis Obispo, CA 03497, USA
| | - Lorraine Donegan
- Department of Graphic Communication, California Polytechnic State University, San Luis Obispo, CA 93407, USA
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Stevens S, Gallagher S, Andrews T, Ashall-Payne L, Humphreys L, Leigh S. The effectiveness of digital health technologies for patients with diabetes mellitus: A systematic review. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:936752. [PMID: 36992773 PMCID: PMC10012107 DOI: 10.3389/fcdhc.2022.936752] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 10/03/2022] [Indexed: 12/12/2022]
Abstract
Introduction Diabetes mellitus (DM) is a leading cause of morbidity and mortality worldwide. At the same time, digital health technologies (DHTs), which include mobile health apps (mHealth) have been rapidly gaining popularity in the self-management of chronic diseases, particularly following the COVID-19 pandemic. However, while a great variety of DM-specific mHealth apps exist on the market, the evidence supporting their clinical effectiveness is still limited. Methods A systematic review was performed. A systematic search was conducted in a major electronic database to identify randomized controlled trials (RCTs) of mHealth interventions in DM published between June 2010 and June 2020. The studies were categorized by the type of DM and impact of DM-specific mHealth apps on the management of glycated haemoglobin (HbA1c) was analysed. Results In total, 25 studies comprising 3,360 patients were included. The methodological quality of included trials was mixed. Overall, participants diagnosed with T1DM, T2DM and Prediabetes all demonstrated greater improvements in HbA1c as a result of using a DHT compared with those who experienced usual care. The analysis revealed an overall improvement in HbA1c compared with usual care, with a mean difference of -0.56% for T1DM, -0.90% for T2DM and -0.26% for Prediabetes. Conclusion DM-specific mHealth apps may reduce HbA1c levels in patients with T1DM, T2DM and Prediabetes. The review highlights a need for further research on the wider clinical effectiveness of diabetes-specific mHealth specifically within T1DM and Prediabetes. These should include measures which go beyond HbA1c, capturing outcomes including short-term glycemic variability or hypoglycemic events.
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Affiliation(s)
- Sebastian Stevens
- Research Department, Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom
- Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom
| | - Susan Gallagher
- Research Department, Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom
| | - Tim Andrews
- Research Department, Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom
- Warwick Medical School (WMS), The University of Warwick, Coventry, United Kingdom
| | - Liz Ashall-Payne
- Research Department, Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom
- Warwick Medical School (WMS), The University of Warwick, Coventry, United Kingdom
| | - Lloyd Humphreys
- Research Department, Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom
| | - Simon Leigh
- Research Department, Organisation for the Review of Care and Health Applications, Daresbury, United Kingdom
- Warwick Medical School (WMS), The University of Warwick, Coventry, United Kingdom
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Montanari VA, Gabbay MAL, Dib SA. Comparison of three insulin bolus calculators to increase time in range of glycemia in a group of poorly controlled adults Type 1 diabetes in a Brazilian public health service. Diabetol Metab Syndr 2022; 14:129. [PMID: 36100854 PMCID: PMC9469814 DOI: 10.1186/s13098-022-00903-z] [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: 06/14/2022] [Accepted: 08/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A main factor contributing to insufficient glycemic control, during basal/bolus insulin therapy, is poor self-management bolus. Insulin bolus administration frequency is strongly associated with glycated hemoglobin (A1c) in Type 1 Diabetes (T1D). In the present study, we analyzed the performance of two-bolus calculator's software that could be accessible to T1D patients from a Public Health Service to improve glycemic time in range (TIR) and A1c. METHODS This prospective, controlled, randomized, parallel intervention clinical trial was carried out with 111 T1D participants on basal/bolus therapy [multiple daily insulin injections (MDI) or subcutaneous infusion pump (CSII)] with basal A1c ≥ 8.5% for 24 weeks. Patients were divided into 3 groups: 2 interventions: COMBO® (bolus calculator) and GLIC (mobile application) and 1 control (CSII group). Anthropometrics and metabolic variables were assessed on basal, 3 and 6 months of follow-up. RESULTS TIR was increased in 9.42% in COMBO group (29 ± 12% to 38.9 ± 12.7%; p < 0.001) in 8.39% in the GLIC® group (28 ± 15% to 36.6 ± 15.1%; p < 0.001) while remained stable in CSII group (40 ± 11% to 39.3 ± 10.3%). A1c decrease in 1.08% (p < 0.001), 0.64% (p < 0.001) and 0.38% (p = 0.01) at 6 months in relation to basal in the COMBO, GLIC and CSII respectively. Daily basal insulin dose was reduced by 8.8% (p = 0.01) in the COMBO group. CONCLUSION The COMBO and a mobile applicative (GLIC) bolus calculator had a similar and a good performance to optimize the intensive insulin treatment of T1D in the public health system with increase in the TIR and reduction in A1C without increase hypoglycemia prevalence.
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Affiliation(s)
| | | | - Sérgio Atala Dib
- Endocrinology Division of Universidade Federal de São Paulo-UNIFESP, São Paulo, Brazil
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Wangler J, Jansky M. Bedeutung und Einsatzpotenziale von Gesundheits-Apps in der diabetologischen Versorgung – Ergebnisse einer Befragungsstudie. DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1859-6400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Zusammenfassung
Hintergrund Mit Blick auf Diabetes mellitus Typ 2 als lebensstilinduzierte Erkrankung wird ein großer potenzieller Nutzen in Gesundheits-Apps gesehen, die gesundheitsunterstützend bei Prävention und Monitoring oder auch der Therapie helfen sollen. Das Ziel der Studie ist es, den Anwendungshorizont, die Akzeptanz und Einstellungen sowie Erfahrungen von Ärzt*innen aus diabetologischen Schwerpunktpraxen hinsichtlich des Nutzungspotenzials von Gesundheits-Apps für Diagnostik, Therapie und Prävention bei Diabetes mellitus Typ 2 explorativ zu beleuchten.
Methodik Aufbauend auf mehreren Vorstudien wurden mittels schriftlicher Befragung zwischen März und Mai 2021 insgesamt 291 Ärzt*innen diabetologischer Schwerpunktpraxen in Rheinland-Pfalz, Hessen, Thüringen und dem Saarland anonymisiert befragt. Die Rücklaufquote beträgt 30% (N=88). Neben der deskriptiven Analyse wurde ein t-Test bei unabhängigen Stichproben durchgeführt.
Ergebnisse Die Befragten verbinden mit dem Einsatz von Apps eine wirksame Stärkung von Empowerment, Motivation und Compliance, aber auch durch Erinnerungs- und lebensstilunterstützenden Funktionen eine mögliche Effektivierung der Prävention und des Erkrankungsmanagements von Typ-2-Diabetes-Patient*innen. Gerade jüngere Ärzt*innen in städtischen Praxisumgebungen begegnen Gesundheits-Apps mit positiver Einstellung und greifen im Praxisalltag auf solche Tools zurück. Skepsis besteht auf Seiten der Befragten u.a. in Bezug auf die Anwendungsfreundlichkeit und Datensicherheit bestehender Apps sowie hinsichtlich rechtlicher Fragestellungen. Eine Mehrheit räumt ein, keinen ausreichenden Überblick über diabetologische Apps zu besitzen und traut sich eine Beratung von Patient*innen nur bedingt zu. Diejenigen Ärzt*innen, bei denen Apps schon in der Versorgung Einzug fanden, beobachten in großer Mehrzahl positive Effekte bei der Steigerung der Compliance, im schnelleren Aufdecken bzw. Verringern von Komplikationen, bei der Gewichtsreduktion sowie bei der Abnahme des HbA1c-Werts.
Diskussion Trotz der positiver Effekte, die Gesundheits-Apps für Prävention und Therapie haben können, bestehen bei vielen diabetologischen Ärzt*innen Vorbehalte hinsichtlich der Überschaubarkeit, Transparenz und Sicherheit von Apps. Diese Bedenken sollten verstärkt adressiert werden, um die richtigen Voraussetzungen für eine erfolgreiche Integration von Gesundheits-Apps in die diabetologische Versorgung zu schaffen (u.a. verbindliche Datenschutz- und Qualitätsstandards, klare Rechtslage in Bezug auf die Anwendung von Apps, Schulungen, Tools zur Übersicht und Einordnung).
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Affiliation(s)
- Julian Wangler
- Zentrum für Allgemeinmedizin und Geriatrie, Universitätsmedizin Mainz, Mainz, Germany
| | - Michael Jansky
- Zentrum für Allgemeinmedizin und Geriatrie, Universitätsmedizin Mainz, Mainz, Germany
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Lee EY, Cha SA, Yun JS, Lim SY, Lee JH, Ahn YB, Yoon KH, Hyun MK, Ko SH. Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record-Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial. J Med Internet Res 2022; 24:e37430. [PMID: 35900817 PMCID: PMC9496112 DOI: 10.2196/37430] [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: 02/21/2022] [Revised: 05/26/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background A system that combines technology and web-based coaching can help treat chronic conditions such as diabetes. However, the effectiveness of apps in mobile health (mHealth) interventions is inconclusive and unclear due to heterogeneous interventions and varying follow-up durations. In addition, randomized controlled trial data are limited, and long-term follow-up is lacking, especially for apps integrated into electronic medical records. Objective We aimed to assess the effect of an electronic medical record–integrated mobile app for personalized diabetes self-care, focusing on the self-monitoring of blood glucose and lifestyle modifications, on glycemic control in patients with type 2 diabetes mellitus. Methods In a 26-week, 3-arm, randomized, controlled, open-label, parallel group trial, patients with type 2 diabetes mellitus and a hemoglobin A1c (HbA1c) level of ≥7.5% were recruited. The mHealth intervention consisted of self-monitoring of blood glucose with the automatic transfer of glucose, diet, and physical activity counseling data (iCareD system). Participants were randomly assigned to the following three groups: usual care (UC), mobile diabetes self-care (MC), and MC with personalized, bidirectional feedback from physicians (MPC). The primary outcome was the change in HbA1c levels at 26 weeks. In addition, diabetes-related self-efficacy, self-care activities, and satisfaction with the iCareD system were assessed after the intervention. Results A total of 269 participants were enrolled, and 234 patients (86.9%) remained in the study at 26 weeks. At 12 weeks after the intervention, the mean decline in HbA1c levels was significantly different among the 3 groups (UC vs MC vs MPC: −0.49% vs −0.86% vs −1.04%; P=.02). The HbA1c level decreased in all groups; however, it did not differ among groups after 26 weeks. In a subgroup analysis, HbA1c levels showed a statistically significant decrease after the intervention in the MPC group compared with the change in the UC or MC group, especially in patients aged <65 years (P=.02), patients with a diabetes duration of ≥10 years (P=.02), patients with a BMI of ≥25.0 kg/m2 (P=.004), patients with a C-peptide level of ≥0.6 ng/mL (P=.008), and patients who did not undergo treatment with insulin (P=.004) at 12 weeks. A total of 87.2% (137/157) of the participants were satisfied with the iCareD system. Conclusions The mHealth intervention for diabetes self-care showed short-term efficacy in glycemic control, and the effect decreased over time. The participants were comfortable with using the iCareD system and exhibited high adherence. Trial Registration Clinical Research Information Service, Republic of Korea KCT0004128; https://tinyurl.com/bdd6pa9m
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Affiliation(s)
- Eun Young Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seon-Ah Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Wonkwang University Sanbon Hospital, Gunpo, Republic of Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea
| | - Sun-Young Lim
- Catholic Institute of Smart Healthcare Center, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jin-Hee Lee
- Catholic Institute of Smart Healthcare Center, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yu-Bae Ahn
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea
| | - Kun-Ho Yoon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Min Kyung Hyun
- Department of Preventive Medicine, College of Korean Medicine, Dongguk University, Gyeongju, Republic of Korea
| | - Seung-Hyun Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea
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María Gómez A, Cristina Henao D, León Vargas F, Mauricio Muñoz O, David Lucero O, García Jaramillo M, Aldea A, Martin C, Miguel Rodríguez Hortúa L, Patricia Rubio Reyes C, Alejandra Páez Hortúa M, Rondón M. Efficacy of the mHealth application in patients with type 2 diabetes transitioning from inpatient to outpatient care: A randomized controlled clinical trial. Diabetes Res Clin Pract 2022; 189:109948. [PMID: 35700926 DOI: 10.1016/j.diabres.2022.109948] [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: 03/29/2022] [Revised: 05/27/2022] [Accepted: 06/09/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION No studies have assessed the efficacy of telemedicine using a platform for recording and adjusting insulin doses in patients with diabetes mellitus type 2 (DM2) transitioning from inpatient to outpatient care. This study aimed to assess, in a population of patients with DM2, discharged from a tertiary referral hospital, whether treatment based on the use of an mHealth application was associated with better glycemic control at the 3-month follow-up, than standard care. METHODS This open, randomized, controlled clinical trial included adult DM2 patients who were transitioning from inpatient to outpatient care. The efficacy and safety of patient management with and without mHealth was compared at the 3-month follow-up. The primary outcome was the change in the Glycosylated hemoglobin (HbA1c) levels. The secondary outcomes were the rates of hypoglycemic and hyperglycemic events and treatment satisfaction measured using the Insulin Treatment Satisfaction Questionnaire (ITSQ). RESULTS In total, 86 patients (41 using mHealth) were included in the clinical trial. HbA1c levels showed a significant decrease in both groups. The mean HbA1c level was significantly lower in the mHealth group. Patients using mHealth showed decreased incidence rate ratios of hypoglycemia 3.0 mmol/L [<54 mg/dl], hypoglycemia ranging from 3.0 to 3.8 mmol/L [54 to 70 mg/dl] and severe hypoglycemia. The level of satisfaction assessed using the ITSQ was higher in the mHealth group. CONCLUSION Using mHealth in patients with DM2 transitioning from inpatient to outpatient care improves metabolic control and may reduce the hypoglycemia rates.
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Affiliation(s)
- Ana María Gómez
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Diana Cristina Henao
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia
| | | | - Oscar Mauricio Muñoz
- Internal Medicine Department, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Oscar David Lucero
- Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | | | - Arantza Aldea
- Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, United Kingdom.
| | - Clare Martin
- Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, United Kingdom.
| | | | | | | | - Martín Rondón
- Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
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Steenkamp D, Eby EL, Gulati N, Liao B. Adherence and Persistence to Insulin Therapy in People with Diabetes: Impact of Connected Insulin Pen Delivery Ecosystem. J Diabetes Sci Technol 2022; 16:995-1002. [PMID: 33666097 PMCID: PMC9264450 DOI: 10.1177/1932296821997923] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Diabetes is an increasing public health problem, and insulin is the mainstay for treatment of type 1 diabetes. In type 2 diabetes treatment, insulin therapy is used after oral or other injectable agents become inadequate to achieve glycemic control. Despite the advances in insulin therapy, management of diabetes remains challenging. Numerous studies have reported low adherence and persistence to insulin therapy, which acts as a barrier to successful glycemic control and diabetes management. The aim of this targeted review article is to provide an overview of adherence and persistence to insulin therapy in people with diabetes and to discuss the impact of the emergence of a new connected ecosystem of increasingly sophisticated insulin pens, glucose monitoring systems, telemedicine, and mHealth on diabetes management. With the emergence of a connected diabetes ecosystem, we have entered an era of advanced personalized insulin delivery, which will have the potential to enhance diabetes self-management and clinical management. Early systems promise to unlock the potential to address missed or late bolus insulin delivery, which should help to address non-adherence and non-persistence. Over time, improvements in this ecosystem have the potential to combine insulin data with previously missing contextualized patient data, including meal, glucose, and activity data to support personalized clinical decisions and ultimately revolutionize insulin therapy.
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Affiliation(s)
- Devin Steenkamp
- Boston University School of Medicine,
Boston, MA, USA
- Devin Steenkamp, MD, Boston University
School of Medicine, 720 Harrison Ave, Doctors Office Building, Suite 8100,
Boston, MA 02118, USA.
| | | | - Nany Gulati
- Eli Lilly Services India Pvt. Ltd.,
Bangalore, KA, India
| | - Birong Liao
- Eli Lilly and Company, Indianapolis, IN,
USA
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Mehraeen E, Mehrtak M, Janfaza N, Karimi A, Heydari M, Mirzapour P, Mehranfar A. Design and Development of a Mobile-Based Self-Care Application for Patients with Type 2 Diabetes. J Diabetes Sci Technol 2022; 16:1008-1015. [PMID: 33840235 PMCID: PMC9264443 DOI: 10.1177/19322968211007124] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Mobile-based applications play a leading role in changes in life-style, improve medication adherence, and provide a unique opportunity to aid patients with type 2 diabetes mellitus (T2DM) elevate their healthcare level. Therefore, we aim to design and develop a mobile-based self-care application for patients with T2DM. METHODS The present study was an applied and developmental study to design and develop a mobile-based self-care application for people living with T2DM conducted in 2020. The design and development of the T2DM self-care application were done in 2 main phases of determining the key features and capabilities, and design and development of the T2DM self-care mobile app. RESULTS We identified the main model and a set of capabilities and features for the T2DM self-care application. By content analysis on 32 different applications and a previous study by the author, 18 features were extracted for the T2DM self-care mobile app. JAVA programming languages were used to design T2DM applications. Moreover, because of the cost-effectiveness, the Android operating system (AOS) was selected as a platform, and because of the widespread use of smartphones; these phones were chosen as the format of T2DM self-care application. CONCLUSIONS In this study, we design and develop a mobile-based self-care application for patients with type 2 diabetes that shows potential in solving the shortcomings of mobile apps for diabetes care. By utilizing the T2DM self-care mobile app we are able to deploy a self-care application with a wide range of functionality such as text messaging, blood glucose monitoring, insulin dose suggestions, educational messaging, metabolic management, pedometer counts, and reporting. Future studies are needed to develop self-care applications for a different type of diabetes with different functions of diabetes care.
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Affiliation(s)
- Esmaeil Mehraeen
- Department of Health Information
Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran
| | - Mohammad Mehrtak
- School of Medicine and Allied
Medical Sciences, Ardabil University of Medical Sciences, Ardabil,
Iran
| | - Nazanin Janfaza
- Internal Medicine Department,
Imam Khomeini Hospital Complex, School of Medicine, Tehran University of
Medical Sciences, Tehran, Iran
| | - Amirali Karimi
- School of Medicine, Tehran
University of Medical Sciences, Tehran, Iran
| | - Mohammad Heydari
- Department of Health Information
Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran
| | - Pegah Mirzapour
- Iranian Research Center for
HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran
University of Medical Sciences, Tehran, Iran
| | - Adele Mehranfar
- Department of Electrical and
Computer Engineering, Isfahan University of Medical Sciences, Isfahan,
Iran
- Adele Mehranfar, MD, Department of
Electrical and Computer Engineering, Isfahan University of Medical
Sciences, Isfahan, 137859458, Iran.
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Dugas M, Wang W, Crowley K, Iyer AK, Peeples M, Shomali M, Gao G(G. Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution. J Diabetes Sci Technol 2022; 16:804-811. [PMID: 33355003 PMCID: PMC9264428 DOI: 10.1177/1932296820976409] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Digital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in education, features that enable annotation of structured data entry might enhance the meaningfulness of the interaction, thereby promoting persistent use and benefits of a digital health solution. METHOD To examine the potential benefits of note-taking, we explored how patients with type 2 diabetes used annotation features of a digital health solution and assessed the relationship between annotation and persistence in engagement as well as improvements in glycated hemoglobin (A1C). Secondary data from 3142 users of the BlueStar digital health solution collected between December 2013 and June 2017 were analyzed, with a subgroup of 372 reporting A1C lab values. RESULTS About a third of patients recorded annotations while using the platform. Annotation themes largely reflected self-management behaviors (diet, physical activity, medication adherence) and well-being (mood, health status). Early use of contextual annotations was associated with greater engagement over time and with greater improvements in A1C. CONCLUSIONS Our research provides preliminary evidence of the benefits of annotation features in a digital health solution. Future research is needed to assess the causal impact of note-taking and the moderating role of thematic content reflected in notes.
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Affiliation(s)
- Michelle Dugas
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
- Michelle Dugas, PhD, Center for Health
Information and Decision Systems, University of Maryland, 4328 Van Munching
Hall, Robert H. Smith School of Business, College Park, MD 20742, USA.
| | - Weiguang Wang
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
| | - Kenyon Crowley
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
| | | | | | | | - Guodong (Gordon) Gao
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
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Gosak L, Pajnkihar M, Stiglic G. The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2022; 11:e31652. [PMID: 35713944 PMCID: PMC9250066 DOI: 10.2196/31652] [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: 08/30/2021] [Revised: 03/04/2022] [Accepted: 03/29/2022] [Indexed: 11/30/2022] Open
Abstract
Background Chronic diseases are a substantial public health issue worldwide and affect an individual’s quality of life. Due to the alarming rise in type 2 diabetes, health care that was primarily focused on diagnosis and treatment of the disease is increasingly focused on prevention and self-care. Patients who adhere to a constant and strict treatment regimen (physical activity, diet, medication) and regularly monitor their health are more likely to maintain self-care and health, prevent the exacerbation of the disease, and avoid the complications of diabetes (retinopathy, diabetic feet, etc). In recent years, many innovative devices that have become increasingly present in inpatient health care, such as mobile apps, are available to help patients maintain consistency in monitoring their health status. Mobile apps make it easier for individuals to monitor their self-care and illness and follow instructions regarding disease control. Objective This study aims to determine the impact of mobile app use on self-care in patients with type 2 diabetes. We will evaluate and test the usefulness of the forDiabetes app as a tool to improve the self-care of individuals with type 2 diabetes. Methods We will perform a double-blind randomized controlled trial. The study will include individuals aged over 18 years diagnosed with or have regulated type 2 diabetes who are treated in family medicine practices. Additionally, the individuals included in the study should not have any acute complications due to the consequences of type 2 diabetes. They will use an Android or iOS mobile phone and a blood glucose meter during the investigation. With the help of simple randomization, individuals will be divided into the intervention and control groups. Individuals in the intervention group will use the forDiabetes mobile app to monitor their self-care for type 2 diabetes. Individuals in the control group will not receive a particular intervention. Data will be collected using the Self-care of Diabetes Inventory questionnaire and Brief Illness Perception Questionnaire. Blood sugar, blood pressure, glycated hemoglobin (HbA1c), and weight measurements will be monitored using calibrated instruments during the study by the nurses employed at the family medicine practice. Data will be collected at the beginning of the study and after a patient visits the family medicine practice. Results In the first half of 2020, we have prepared a translation of the mobile app that will be used by the participants of the intervention group, as well as more detailed instructions for using the app. We have also prepared a translation of the questionnaires in Slovene. The research results will be published in 2023. Conclusions This research contributes to greater visibility and usability of mobile apps for the self-care of patients with type 2 diabetes and raises awareness of the possible use of innovative methods. Trial Registration Clinicaltrials.gov NCT04999189; https://clinicaltrials.gov/ct2/show/NCT04999189 International Registered Report Identifier (IRRID) PRR1-10.2196/31652
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Affiliation(s)
- Lucija Gosak
- Faculty of Health Sciences, University of Maribor, Maribor, Slovenia
| | - Majda Pajnkihar
- Faculty of Health Sciences, University of Maribor, Maribor, Slovenia
| | - Gregor Stiglic
- Faculty of Health Sciences, University of Maribor, Maribor, Slovenia
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A sports and health application for patients with type 1 diabetes mellitus -An end-user survey on expectations and requirements. J Diabetes Metab Disord 2022; 21:623-629. [PMID: 35673501 PMCID: PMC9167417 DOI: 10.1007/s40200-022-01024-0] [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: 12/16/2021] [Revised: 02/24/2022] [Accepted: 03/03/2022] [Indexed: 10/29/2022]
Abstract
Purpose The aim of this survey is to investigate T1DM patients' expectations for and requirements of an ideal mobile self-management app with a special focus on functions for sports and exercise. Methods A total of 251 persons participated in the survey. After checking for completeness and plausibility, the answers of 167 patients diagnosed with T1DM (66% female, 34% male) were analyzed. Results The key features/aspects that were identified as being "rather important"/"very important" by more than 75% of respondents are: data security (96.4%), integration of further health data (e.g., heart rate, step count, calories) from other apps already installed on their smartphone (92.2%), automatic import of glucose data from other apps (91.6%), individual target setting (87.4%), warnings about abnormal glucose levels (82.6%), warnings about other abnormal health data (81.4%), diary function (80.8%), information on the training session after the workout (80.8%) and displaying/processing of further fitness variables (such as heart rate, step count, etc.) from other health-related wearable systems (77.8%). Conclusions This study identifies the most relevant features of an ideal self-management app with functions for sports and exercise targeted at patients with T1DM that should be considered in the development of such an app.
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Stephen DA, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care - An integrative review on perceptions among adults with type 1 diabetes. BMC Endocr Disord 2022; 22:138. [PMID: 35614419 PMCID: PMC9131554 DOI: 10.1186/s12902-022-01039-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 12/29/2021] [Accepted: 05/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Individually designed interventions delivered through mobile health applications (mHealth apps) may be able to effectively support diabetes self-care. Our aim was to review and synthesize available evidence in the literature regarding perception of adults with type 1 diabetes on the features of mHealth apps that help promote diabetes self-care, as well as facilitators and barriers to their use. An additional aim was to review literature on changes in patient reported outcome measures (PROMs) in the same population while using mHealth apps for diabetes self-care. METHODS Quantitative and qualitative studies focusing on adults aged 18 years and over with type 1 diabetes in any context were included. A systematic literature search using selected databases was conducted. Data was synthesised using narrative synthesis. RESULTS We found that features of mHealth apps designed to help promote and maintain diabetes self-care could be categorized into self-care data monitoring, app display, feedback & reminders, data entry, data sharing, and additional features. Factors affecting the use of mHealth apps reported in the literature were personal factors, app design or usability factors, privacy and safety factors, or socioeconomic factors. Quality of life and diabetes distress were the most commonly reported PROMs in the included studies. CONCLUSION We are unable to reach a conclusive result due to the heterogeneity of the included studies as well as the limited number of studies reporting on these areas among adults with type 1 diabetes. We therefore recommend further large-scale studies looking into these areas that can ultimately improve mHealth app use in type 1 diabetes self-care. SYSTEMATIC REVIEW REGISTRATION Prospero CRD42020157620 .
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Affiliation(s)
- Divya Anna Stephen
- Department of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden.
| | - Anna Nordin
- Department of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden
- Department of Health, Learning and Technology, Nursing and Medical Technology, Luleå University of Technology, Luleå, Sweden
| | - Jan Nilsson
- Department of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden
- Faculty of Health and Social Sciences, Inland Norway University of Applied Sciences, Elverum, Norway
| | - Mona Persenius
- Department of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden
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Yang CC, Li CL, Yeh TF, Chang YC. Assessing Older Adults' Intentions to Use a Smartphone: Using the Meta-Unified Theory of the Acceptance and Use of Technology. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5403. [PMID: 35564798 PMCID: PMC9102817 DOI: 10.3390/ijerph19095403] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/24/2022] [Accepted: 04/26/2022] [Indexed: 02/04/2023]
Abstract
Barriers to smartphone use often exist among older adults, and increasing smartphone use is beneficial to increasing older adults' quality of life. Studies of older adults' smartphone use intentions have mostly adopted the technology acceptance model or unified theory of acceptance and use of technology (UTAUT). However, these models have their limitations. A meta-UTAUT has been developed, but it has not been extensively verified with older adults. This study used the meta-UTAUT model to explore the influences on older adults' smartphone use intentions and behaviors. A total of 311 adults aged 60 to 75 years who had minimal experience with smartphones were recruited. They participated in a 16 h smartphone training and then completed a questionnaire. The results demonstrated that the meta-UTAUT model can predict older adults' smartphone use intentions and behaviors. Performance expectancy (PE) and social influence significantly influenced behavioral intention (BI) and attitude toward using smartphones (AT). PE was the strongest factor influencing BI. AT also affected BI. Although facilitating conditions did not significantly affect BI, they had a high influence on AT. To increase smartphone use among older adults, training can be implemented to teach smartphone skills and emphasize the benefits of using smartphones.
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Affiliation(s)
- Cheng-Chia Yang
- Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan;
| | - Cheng-Lun Li
- Department of Medical Research, Jen-Ai Hospital, Taichung 41265, Taiwan;
| | - Te-Feng Yeh
- Department of Healthcare Administration, Central Taiwan University of Science and Technology, Taichung 40601, Taiwan;
| | - Yu-Chia Chang
- Department of Healthcare Administration, Asia University, Taichung 41354, Taiwan;
- Department of Long Term Care, College of Health and Nursing, National Quemoy University, Kinmen County 892009, Taiwan
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Bretschneider MP, Klásek J, Karbanová M, Timpel P, Herrmann S, Schwarz PEH. Impact of a Digital Lifestyle Intervention on Diabetes Self-Management: A Pilot Study. Nutrients 2022; 14:nu14091810. [PMID: 35565782 PMCID: PMC9100754 DOI: 10.3390/nu14091810] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/22/2022] [Accepted: 04/24/2022] [Indexed: 12/22/2022] Open
Abstract
The aim of this study was to provide preliminary evidence on the impact of the digital health application Vitadio on improving glycemic control in patients with type 2 diabetes mellitus. This was a 3-month, prospective, multicenter, open-label trial with an intraindividual control group. Participants received a digital lifestyle intervention. HbA1c levels were observed at 3 time points: retrospectively, at 3 months before app use; at baseline, at the start of usage; and 3 months after the start of use. In addition, changes in other metabolic parameters (fasting glucose, body weight, and waist circumference), patient reported outcomes (quality of life, self-efficacy, and depression), and data generated within the app (frequency of use, steps, and photos of meals) were evaluated. Repeated measures analysis of variance with the Bonferroni correction was used to assess the overall difference in HbA1c values between the intervention and the intraindividual control group, with p < 0.05 considered significant. Participants (n = 42) were 57 ± 7.4 years old, 55% male, and with a mean baseline HbA1c of 7.9 ± 1.0%. An average HbA1c reduction of −0.9 ± 1.1% (p < 0.001) was achieved. The digital health application was effective in significantly reducing body weight (−4.3 ± 4.5 kg), body mass index (−1.4 ± 1.5 kg/m2), waist circumference (−5.7 ± 15 cm), and fasting glucose (−0.6 ± 1.3 mmol/L). The digital therapy achieved a clinically meaningful and significant HbA1c reduction as well as a positive effect on metabolic parameters. These results provide preliminary evidence that Vitadio may be effective in supporting patient diabetes management by motivating patients to adopt healthier lifestyles and improving their self-management.
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Affiliation(s)
- Maxi Pia Bretschneider
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (P.T.); (S.H.); (P.E.H.S.)
- Correspondence:
| | - Jan Klásek
- Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Opletalova 26, 110 00 Prague, Czech Republic;
| | - Martina Karbanová
- Department of Health, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic;
- First Faculty of Medicine, Charles University in Prague, Kateřinská 32, 121 08 Prague, Czech Republic
| | - Patrick Timpel
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (P.T.); (S.H.); (P.E.H.S.)
| | - Sandra Herrmann
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (P.T.); (S.H.); (P.E.H.S.)
| | - Peter E. H. Schwarz
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstrasse 74, 01307 Dresden, Germany; (P.T.); (S.H.); (P.E.H.S.)
- Paul Langerhans Institute, Faculty of Medicine, Technische Universität Dresden, Tatzberg 47, 01307 Dresden, Germany
- German Center for Diabetes Research (DZD), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
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Chatzakis C, Floros D, Liberis A, Gerede A, Dinas K, Pitsianis N, Sotiriadis A. STORK: Collaborative Online Monitoring of Pregnancies Complicated with Gestational Diabetes Mellitus. Healthcare (Basel) 2022; 10:653. [PMID: 35455831 PMCID: PMC9027268 DOI: 10.3390/healthcare10040653] [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: 02/24/2022] [Revised: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 02/05/2023] Open
Abstract
Background: A novel digital platform, named STORK, was developed in the COVID-19 pandemic when clinic visits were restricted. A study of its clinical use during the pandemic was conducted. The study aims to advance the state of the art in monitoring and care of pregnancies complicated with gestational diabetes mellitus (GDM) via online collaboration between patients and care providers. Methods: This study involved 31 pregnant women diagnosed with GDM and 5 physicians. Statistical comparisons were made in clinic-visit frequency and adverse outcomes between the STORK group and a historical control group of 32 women, compatible in size, demographics, anthropometrics and medical history. Results: The average number of submitted patient measurements per day was 3.6±0.4. The average number of clinic visits was 2.9±0.7 for the STORK group vs. 4.1±1.1 for the control group (p<0.05). The number of neonatal macrosomia cases was 2 for the STORK group vs. 3 for the control group (p>0.05); no other adverse incidents. Conclusions: The patient compliance with the pilot use of STORK was high and the average number of prenatal visits was reduced. The results suggest the general feasibility to reduce the average number of clinic visits and cost, with enhanced monitoring, case-specific adaptation, assessment and care management via timely online collaboration.
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Affiliation(s)
- Christos Chatzakis
- Second Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (C.C.); (A.L.); (A.G.); (K.D.)
| | - Dimitris Floros
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (D.F.); (N.P.)
| | - Anastasios Liberis
- Second Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (C.C.); (A.L.); (A.G.); (K.D.)
| | - Aggeliki Gerede
- Second Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (C.C.); (A.L.); (A.G.); (K.D.)
| | - Konstantinos Dinas
- Second Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (C.C.); (A.L.); (A.G.); (K.D.)
| | - Nikos Pitsianis
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (D.F.); (N.P.)
- Department of Computer Science, Duke University, Durham, NC 27708, USA
| | - Alexandros Sotiriadis
- Second Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece; (C.C.); (A.L.); (A.G.); (K.D.)
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The Clinical Effects of Type 2 Diabetes Patient Management Using Digital Healthcare Technology: A Systematic Review and Meta-Analysis. Healthcare (Basel) 2022; 10:healthcare10030522. [PMID: 35327000 PMCID: PMC8953302 DOI: 10.3390/healthcare10030522] [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: 01/29/2022] [Revised: 03/04/2022] [Accepted: 03/11/2022] [Indexed: 12/03/2022] Open
Abstract
The disease control rate is very low (at less than 30%) for diabetes. The use of digital healthcare technology is increasing recently for continuous management in daily life. In this study, a meta-analysis was conducted to evaluate the clinical effects of digital healthcare technology for patients with type 2 diabetes management. For a review of the literature, databases such as PubMed, Embase, and Cochrane Library were searched using Medical Subject Heading (MeSH) terms published up to 9 August 2021. As a result, 2354 articles were identified, and 12 randomized controlled trial articles were finally included. Digital healthcare technology combined management for type 2 diabetes significantly decreased HbA1c (p < 0.00001, standardized mean difference (SMD) = −0.49) and marginally decreased triglyceride, compared with usual care (p = 0.06, SMD = −0.18). However, it did not significantly affect BMI (p = 0.20, SMD = −0.47), total cholesterol (p = 0.13, SMD = −0.19), HLD-C (p = 0.89, SMD = −0.01), LDL-C (p = 0.95, SMD = −0.01), systolic BP (p = 0.83, SMD = 0.03), or diastolic BP (p = 0.23, SMD = 0.65), compared with usual care. These results indicate that digital healthcare technology can improve HbA1c and triglyceride levels of type 2 diabetes patients. Further well-designed randomized controlled clinical trials are needed to confirm the clinical effect of digital healthcare technology.
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Hong C, Abrams LS, Holloway IW. Technology-Based Interventions to Promote the HIV Preexposure Prophylaxis (PrEP) Care Continuum: Protocol for a Systematic Review. JMIR Res Protoc 2022; 11:e33045. [PMID: 35258470 PMCID: PMC8941443 DOI: 10.2196/33045] [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: 08/22/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Preexposure prophylaxis (PrEP) is a promising biomedical intervention for HIV prevention. Researchers have proposed the PrEP care continuum to guide and evaluate PrEP implementation programs. Technology-based interventions (TBIs) have been widely used in HIV prevention and treatment programs, including for the promotion of the PrEP care continuum. The rapid development of new interventions using technology and electronic health methods emphasizes the need for a review of the effectiveness of these TBIs. OBJECTIVE The aim of this systematic review is to summarize the effectiveness and acceptability of TBIs used to promote the HIV PrEP care continuum. METHODS We will conduct a systematic literature search in PubMed, Embase, MEDLINE, PsycINFO, Web of Science, CINAHL, and the Cochrane Central Register of Controlled Trials following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Only intervention studies (ie, studies meeting the criteria of randomized controlled trials or quasi-experimental studies) evaluating the effectiveness of TBIs will be included. We will search the National Institutes of Health Research Portfolio Online Reporting Tools (NIH RePORT) for interventions involving PrEP. At least 2 reviewers will independently screen and select the studies, extract the data, and evaluate the quality of the studies, and discrepancies will be resolved by a senior author. We will provide a narrative synthesis of the included studies and present details about the study populations, interventions, and PrEP-related outcomes of significance. RESULTS The protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42021249562). As of August 2021, we have completed the initial search and identified 1213 records. Study screening and data extracting are in progress. We expect the results to be ready by summer 2022. CONCLUSIONS The findings of this review will summarize successful experiences and lessons learned from the existing literature and therefore inform the design and implementation of intervention studies for PrEP care promotion. TRIAL REGISTRATION PROSPERO CRD42021249562; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=249562. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/33045.
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Affiliation(s)
- Chenglin Hong
- Department of Social Welfare, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States
- Gay Sexuality and Social Policy Initiative, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States
| | - Laura S Abrams
- Department of Social Welfare, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States
| | - Ian W Holloway
- Department of Social Welfare, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States
- Gay Sexuality and Social Policy Initiative, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States
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