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Duong T, Olsen Q, Menon A, Woods L, Wang W, Varnfield M, Jiang L, Sullivan C. Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review. J Med Internet Res 2025; 27:e67507. [PMID: 40280555 DOI: 10.2196/67507] [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: 10/25/2024] [Revised: 01/13/2025] [Accepted: 03/20/2025] [Indexed: 04/29/2025] Open
Abstract
BACKGROUND Digital health interventions (DHIs) have rapidly evolved and significantly revolutionized the health care system. The quadruple aims of health care (improving population health, enhancing consumer experience, enhancing health care provider [HCP] experience, and decreasing health costs) serve as a strategic guiding framework for DHIs. It is unknown how DHIs can impact the burden of type 2 diabetes mellitus (T2DM), as measured by the quadruple aims. OBJECTIVE This study aimed to systematically review the effects of DHIs on improving the burden of T2DM, as measured by the quadruple aims. METHODS PubMed, Embase, CINAHL, and Web of Science were searched for studies published from January 2014 to March 2024. Primary outcomes were the development of T2DM, hemoglobin A1c (HbA1c) change, and blood glucose change (dysglycemia changes). Secondary outcomes were consumer experience, HCP experience, and health care costs. Outcomes were mapped to the quadruple aims. DHIs were categorized using the World Health Organization's DHI classification. For each study, DHI categories were assessed for their effects on each outcome, categorizing the effects as positive, negative, or neutral. The overall effects of each DHI category were determined by synthesizing all reported positive, neutral, or negative effects regardless of the number of studies supporting each effect. The Cochrane risk-of-bias version 2 (RoB 2) tool for randomized trials was used to assess the quality of randomized controlled trials (RCTs), while the ROBINS-I (risk of bias in nonrandomized studies of interventions) tool was applied for nonrandomized studies. RESULTS In total, 53 papers were included. For the T2DM development outcome, the effects of DHIs were positive in 1 (1.9%) study and neutral in 9 (17%) studies, and there were insufficient data to assess in 4 (7.5%) studies. For the dysglycemia outcome, the effects were positive in 23 (43.4%) studies and neutral in 24 (45.3%) studies, and there were insufficient data in 6 (11.3%) studies. There were mixed effects on consumer experience (n=13, 24.5%) and a lack of studies reporting HCP experience (n=1, 1.9%) and health care costs (n=3, 5.7%). All studies that reported positive population health outcomes used a minimum of 2 distinct categories of DHIs. Among these successful studies, the one that reported delaying the development of T2DM and 16 (69.6%) of those reporting improvements in dysglycemia involved HCP interaction. Targeted communication with persons (TCP), personal health tracking (PHT), and telemedicine (TM) showed some evidence as a potentially useful tool for T2DM prevention and dysglycemia. CONCLUSIONS The effects of DHIs on T2DM prevention, as measured by the quadruple aims, have not been comprehensively assessed, with proven benefits for population health, mixed results for consumer experience, and insufficient studies on HCP experience and health care costs. To maximize their effectiveness in preventing T2DM and managing dysglycemia, DHIs should be used in combination and strategically integrated with in-person or remote HCP interaction. TRIAL REGISTRATION PROSPERO CRD42024512690; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024512690.
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Affiliation(s)
- Tuan Duong
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Family Medicine Department, University of Medicine and Pharmacy, Hue, Vietnam
| | - Quita Olsen
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Anish Menon
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Princess Alexandra Hospital, Metro South Hospital and Health Service, Brisbane, Australia
| | - Leanna Woods
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Wenyong Wang
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Logan Hospital, Metro South Hospital and Health Service, Brisbane, Australia
| | - Marlien Varnfield
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Lee Jiang
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Clair Sullivan
- Queensland Digital Health Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Metro North Hospital and Health Service, Brisbane, Australia
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Ghandour R, Miranne JM, Shen J, Murphy R, Taboada M, Plummer M, Schatzman-Bone S, Minassian VA. Reasons for Missed Appointments. UROGYNECOLOGY (PHILADELPHIA, PA.) 2024:02273501-990000000-00320. [PMID: 39715071 DOI: 10.1097/spv.0000000000001646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2024]
Abstract
IMPORTANCE Little is known about reasons behind missed appointments in subspecialty settings, particularly in urogynecology practices. OBJECTIVE The aim of the study was to understand patient-perceived barriers to appointment attendance at an academic urban multisite urogynecology practice. STUDY DESIGN This was a prospective, qualitative study of patients who missed their appointments at a urogynecology practice from April to September 2023. Patients were invited to participate in semistructured interviews. Nonrandom, purposive sampling ensured a reflective sample. The interview guide addressed attendance barriers, reasons for missed appointments, and clinic accessibility. Inductive coding was applied to interview text fragments and a codebook was developed. RESULTS Of the 230 eligible patients, 110 (48%) were contacted and 26/110 (24%) consented and completed interviews. Patients identified the following 3 major barriers to appointment attendance: (1) community and environmental barriers, (2) patient-related factors, and (3) clinic-related factors. Community and environmental barriers (n = 20 [77%]) included unforeseen circumstances and transportation issues, with 52% citing transportation difficulties. Patient-related factors (n = 16 [62%]) included family obligations, personal illness, mental health concerns, confusion with appointments, or competing job responsibilities. Clinic-related factors (n = 9 [35%]) included scheduling and timing issues. Participants proposed changes to facilitate attendance, which included clinics offering transportation assistance, providing interpersonal support through support groups, and improving the internet-based portal to make patient communication easier. CONCLUSIONS Identifying the reasons why patients miss appointments is pivotal to providing patient-centered care. Our findings provide a deeper understanding of issues underlying missed urogynecology appointments. Future research to develop an algorithm to identify barriers to attending appointments and provide interventions such as transportation support could result in more accessible, equitable care.
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Affiliation(s)
- Rachan Ghandour
- From the Division of Urogynecology, Department of OB/GYN, Brigham and Women's Hospital, Boston, MA
| | | | - Julia Shen
- From the Division of Urogynecology, Department of OB/GYN, Brigham and Women's Hospital, Boston, MA
| | - Rachel Murphy
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA
| | - Mireya Taboada
- Department of OB/GYN, Brigham and Women's Hospital/Massachusetts General Hospital, Boston, MA
| | - Melissa Plummer
- Department of OB/GYN, Brigham and Women's Hospital/Massachusetts General Hospital, Boston, MA
| | - Steph Schatzman-Bone
- Department of OB/GYN, Brigham and Women's Hospital/Massachusetts General Hospital, Boston, MA
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McCaffrey G, Wilson E, Zimmer LV, Singh A, Jonatansdottir S, Zimmer P, Snadden D, Graham ID, MacLeod M. Effects of Virtual Care on Patient and Provider Experience of the Clinical Encounter: Qualitative Hermeneutic Study. J Med Internet Res 2024; 26:e52552. [PMID: 39591608 PMCID: PMC11632281 DOI: 10.2196/52552] [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: 09/11/2023] [Revised: 03/22/2024] [Accepted: 10/19/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND Virtual health care has transformed health care delivery, with its use dramatically increasing since the COVID-19 pandemic. While it has been quickly adopted for its convenience and efficiency, there has been a relative lack of in-depth exploration of its human impact, specifically how both patients and providers experience clinical encounters. OBJECTIVE This analysis aims to identify and explore themes of change in how patients and providers in a geographically dispersed renal service described their experiences with virtual care, including those changes that occurred during the COVID-19 pandemic. METHODS Hermeneutics is an interpretive research methodology that treats human experience as inherently interpretive, generating meaning through interactions with others in specific, historically conditioned, social contexts. A total of 17 patients and 10 providers from various disciplines were interviewed by phone as part of a study on health care implementation in the context of a kidney care service in northern British Columbia, Canada. The interview data were analyzed using a hermeneutic approach, which emphasizes careful attention to reported experiences in relation to the relationships and contexts of care. RESULTS During analysis, the interdisciplinary team identified themes related to changes in the clinical encounter and how virtual care influenced perceptions of care among both providers and patients. We organized these themes into 2 categories: the structure and content of the encounter. The structure category included the convenience for patients, who no longer had to travel long distances for appointments, as well as changes in care networks. For example, communication between specialist services and local primary care providers became more crucial for ensuring continuity of care. The content category included issues related to trust-building and assessment. Providers expressed concerns about the difficulty in assessing and understanding their patients' physical and social well-being beyond laboratory results. CONCLUSIONS Patients in the study appreciated the convenience of not needing to travel for appointments, while still having the option for in-person contact with local providers or specialists if their condition changed. Providers were more concerned about the loss of visual cues and sensory data for assessments, as well as the reduced opportunity to build relationships through conversation with patients. Providers also described changes in the locus of control and boundaries, as patients could join phone encounters from anywhere, bypassing traditional privacy and confidentiality boundaries. The study offers a nuanced view of the effects of virtual care on clinical encounters in one setting, seen through the experiences of both patients and providers.
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Affiliation(s)
| | - Erin Wilson
- School of Nursing, University of Northern British Columbia, Prince George, BC, Canada
| | - Lela V Zimmer
- School of Nursing, University of Northern British Columbia, Prince George, BC, Canada
| | - Anurag Singh
- Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Peter Zimmer
- School of Nursing, University of Northern British Columbia, Prince George, BC, Canada
| | - David Snadden
- Northern Medical Program, University of Northern British Columbia, Prince George, BC, Canada
| | - Ian D Graham
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Martha MacLeod
- School of Nursing, University of Northern British Columbia, Prince George, BC, Canada
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Rouleau G, Wu K, Ramamoorthi K, Boxall C, Liu RH, Maloney S, Zelmer J, Scott T, Larsen D, Wijeysundera HC, Ziegler D, Bhatia S, Kishimoto V, Steele Gray C, Desveaux L. Mapping Theories, Models, and Frameworks to Evaluate Digital Health Interventions: Scoping Review. J Med Internet Res 2024; 26:e51098. [PMID: 38315515 PMCID: PMC10877497 DOI: 10.2196/51098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 11/10/2023] [Accepted: 12/27/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Digital health interventions (DHIs) are a central focus of health care transformation efforts, yet their uptake in practice continues to fall short of their potential. In order to achieve their desired outcomes and impact, DHIs need to reach their target population and need to be used. Many factors can rapidly intersect between this dynamic of users and interventions. The application of theories, models, and frameworks (TMFs) can facilitate the systematic understanding and explanation of the complex interactions between users, practices, technology, and health system factors that underpin research questions. There remains a gap in our understanding of how TMFs have been applied to guide the evaluation of DHIs with real-world health system operations. OBJECTIVE This study aims to map TMFs used in studies to guide the evaluation of DHIs. The objectives are to (1) describe the TMFs and the constructs they target, (2) identify how TMFs have been prospectively used (ie, their roles) in primary studies to evaluate DHIs, and (3) to reflect on the relevance and utility of our findings for knowledge users. METHODS This scoping review was conducted in partnership with knowledge users using an integrated knowledge translation approach. We included papers (eg, reports; empirical quantitative, qualitative, and mixed methods studies; conference proceedings; and dissertations) if primary insights resulting from the application of TMFs were presented. Any type of DHI was eligible. Papers published from 2000 and onward were mainly identified from the following databases: MEDLINE (Ovid), CINAHL Complete (EBSCOhost), PsycINFO (Ovid), EBM Reviews (Ovid), and Embase (Ovid). RESULTS A total of 156 studies published between 2000 and 2022 were included. A total of 68 distinct TMFs were identified across 85 individual studies. In more than half (85/156, 55%) of the included studies, 1 of following 6 prevailing TMFs were reported: Consolidated Framework for Implementation Research (n=39); the Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework (n=17); the Technology of Acceptance Model (n=16); the Unified Theory on Acceptance and Use of Technology (n=12); the Diffusion of Innovation Theory (n=10); and Normalization Process Theory (n=9). The most common intended roles of the 6 TMFs were to inform data collection (n=86), to inform data analysis (n=69), and to identify key constructs that may serve as barriers and facilitators (n=52). CONCLUSIONS As TMFs are most often reported to be applied to support data collection and analysis, researchers should consider more clearly synthesizing key insights as practical use cases to both increase the relevance and digestibility of their findings. There is also a need to adapt or develop guidelines for better reporting DHIs and the use of TMFs to guide evaluation. Hence, it would contribute to ensuring ongoing technology transformation efforts are evidence and theory informed rather than anecdotally driven.
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Affiliation(s)
- Geneviève Rouleau
- Nursing department, Université du Québec en Outaouais, Saint-Jérôme, QC, Canada
- Institute for Health System Solutions and Virtual Care Toronto, Women's College Hospital, Toronto, ON, Canada
- Institut du Savoir Montfort, Montfort Hospital, Ottawa, ON, Canada
| | - Kelly Wu
- Institute for Health System Solutions and Virtual Care Toronto, Women's College Hospital, Toronto, ON, Canada
| | - Karishini Ramamoorthi
- Institute for Health System Solutions and Virtual Care Toronto, Women's College Hospital, Toronto, ON, Canada
| | - Cherish Boxall
- Southampton Clinical Trials Unit, University of Southampton, Southampton, United Kingdom
| | - Rebecca H Liu
- Institute for Health System Solutions and Virtual Care Toronto, Women's College Hospital, Toronto, ON, Canada
| | | | | | - Ted Scott
- School of Nursing, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Darren Larsen
- Telus Healthcare Delivery, Women's College Hospital, Toronto, ON, Canada
- Women's College Hospital Family Health Team, Women's College Hospital, Toronto, ON, Canada
| | | | - Daniela Ziegler
- Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - Sacha Bhatia
- Ontario Health, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
| | - Vanessa Kishimoto
- Institute for Health System Solutions and Virtual Care Toronto, Women's College Hospital, Toronto, ON, Canada
| | - Carolyn Steele Gray
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Laura Desveaux
- Institute for Health System Solutions and Virtual Care Toronto, Women's College Hospital, Toronto, ON, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Institute for Better Health, Trillium Health Partners, Toronto, ON, Canada
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