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McMullen B, Duncanson K, Collins C, MacDonald-Wicks L. A systematic review of the mechanisms influencing engagement in diabetes prevention programmes for people with pre-diabetes. Diabet Med 2024; 41:e15323. [PMID: 38829966 DOI: 10.1111/dme.15323] [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: 11/20/2023] [Revised: 03/02/2024] [Accepted: 03/20/2024] [Indexed: 06/05/2024]
Abstract
AIMS To identify barriers and enablers that influence engagement in and acceptability of diabetes prevention programmes for people with pre-diabetes. The results will provide insights for developing strategies and recommendations to improve design and delivery of diabetes prevention programmes with enhanced engagement and acceptability for people with pre-diabetes. METHODS This review used a critical realist approach to examine context and mechanisms of diabetes prevention programmes. Medline, Embase, PsycInfo, Cinahl, Web of Science, Scopus and Pre-Medline were searched for English language studies published between 2000 and 2023. A quality assessment was conducted using Joanna Briggs Institute critical appraisal tools. RESULTS A total of 90 papers met inclusion criteria. The included studies used a variety of quantitative and qualitative methodologies. Data extracted focused on barriers and enablers to engagement in and acceptability of diabetes prevention programmes, with seven key mechanisms identified. These included financial, environmental, personal, healthcare, social and cultural, demographic and programme mechanisms. Findings highlighted diverse factors that influenced engagement in preventive programmes and the importance of considering these factors when planning, developing and implementing future diabetes prevention programmes. CONCLUSIONS Mechanisms identified in this review can inform design and development of diabetes prevention programmes for people with pre-diabetes and provide guidance for healthcare professionals and policymakers. This will facilitate increased participation and engagement in preventive programmes, potentially reducing progression and/or incidence of pre-diabetes to type 2 diabetes and improving health outcomes.
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Affiliation(s)
- Britney McMullen
- Mid North Coast Local Health District, University of Newcastle, Coffs Harbour, Australia
| | - Kerith Duncanson
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Clare Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Lesley MacDonald-Wicks
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
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Kerr D, Ahn D, Waki K, Wang J, Breznen B, Klonoff DC. Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis. J Med Internet Res 2024; 26:e55757. [PMID: 39037772 DOI: 10.2196/55757] [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: 12/22/2023] [Revised: 05/13/2024] [Accepted: 05/16/2024] [Indexed: 07/23/2024] Open
Abstract
BACKGROUND The proliferation of digital technology has the potential to transform diabetes management. One of the critical aspects of modern diabetes management remains the achievement of glycemic targets to avoid acute and long-term complications. OBJECTIVE This study aims to describe the landscape of evidence pertaining to the relative effectiveness or efficacy and safety of various digital interventions for the self-management of type 2 diabetes mellitus (T2DM), with a primary focus on reducing glycated hemoglobin A1c (HbA1c) levels. METHODS A systematic literature review (SLR) was conducted by searching Embase, MEDLINE, and CENTRAL on April 5, 2022. Study selection, data extraction, and quality assessment were performed by 2 independent reviewers. Eligibility criteria for the SLR included randomized controlled trials (RCTs) and comparative observational studies evaluating interventions containing both human (eg, coaching) and digital components (eg, glucose meter) in adult patients with T2DM. The primary meta-analysis was restricted to studies that reported laboratory-measured HbA1c. In secondary analyses, meta-regression was performed with the intensity of coaching in the digital intervention as a categorical covariate. RESULTS In total, 28 studies were included in this analysis. Most studies (23/28, 82%) used the reduction of HbA1c levels as the primary end point, either directly or as a part of a multicomponent outcome. In total, 21 studies reported statistically significant results with this primary end point. When stratified into 3 intervention categories by the intensity of the intervention supporting the digital health technology (analyzing all 28 studies), the success rate appeared to be proportional to the coaching intensity (ie, higher-intensity studies reported higher success rates). When the analysis was restricted to RCTs using the comparative improvement of HbA1c levels, the effectiveness of the interventions was less clear. Only half (12/23, 52%) of the included RCTs reported statistically significant results. The meta-analyses were broadly aligned with the results of the SLR. The primary analysis estimated a greater reduction in HbA1c associated with digital interventions compared with usual care (-0.31%, 95% CI -0.45% to -0.16%; P<.001). Meta-regression estimated reductions of -0.45% (95% CI -0.81% to -0.09%; P=.02), -0.29% (95% CI -0.48% to -0.11%; P=.003), and -0.28% (95% CI -0.65% to 0.09%; P=.20) associated with high-, medium-, and low-intensity interventions, respectively. CONCLUSIONS These findings suggest that reducing HbA1c levels in individuals with T2DM with the help of digital interventions is feasible, effective, and acceptable. One common feature of effective digital health interventions was the availability of timely and responsive personalized coaching by a dedicated health care professional.
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Affiliation(s)
- David Kerr
- Center for Health Systems Research, Sutter Health, Walnut Creek, CA, United States
| | - David Ahn
- Mary & Dick Allen Diabetes Center at Hoag, Newport Beach, CA, United States
| | - Kayo Waki
- The University of Tokyo, Tokyo, Japan
| | - Jing Wang
- Florida State University College of Nursing, Tallahassee, FL, United States
| | - Boris Breznen
- Evidinno Outcomes Research Inc, Vancouver, BC, Canada
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, United States
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Hawkes RE, Benton JS, Cotterill S, Sanders C, French DP. Service Users' Experiences of a Nationwide Digital Type 2 Diabetes Self-Management Intervention (Healthy Living): Qualitative Interview Study. JMIR Diabetes 2024; 9:e56276. [PMID: 39024002 PMCID: PMC11294771 DOI: 10.2196/56276] [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: 01/11/2024] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Diabetes Self-Management Education and Support programs for people living with type 2 diabetes mellitus (T2DM) can increase glycemic control and reduce the risk of developing T2DM-related complications. However, the recorded uptake of these programs is low. Digital self-management interventions have the potential to overcome barriers associated with attendance at face-to-face sessions. Healthy Living is an evidence-based digital self-management intervention for people living with T2DM, based on the Healthy Living for People with Type 2 Diabetes (HeLP-Diabetes) intervention, which demonstrated effectiveness in a randomized controlled trial. NHS England has commissioned Healthy Living for national rollout into routine care. Healthy Living consists of web-based structured education and Tools components to help service users self-manage their condition, including setting goals. However, key changes were implemented during the national rollout that contrasted with the trial, including a lack of facilitated access from a health care professional and the omission of a moderated online support forum. OBJECTIVE This qualitative study aims to explore service users' experiences of using Healthy Living early in the national rollout. METHODS A total of 19 participants were interviewed via telephone or a videoconferencing platform. Topics included users' experiences and views of website components, their understanding of the intervention content, and the overall acceptability of Healthy Living. Transcripts were analyzed thematically using a framework approach. RESULTS Participants valued having trustworthy information that was easily accessible. The emotional management content resonated with the participants, prompting some to book an appointment with their general practitioners to discuss low mood. After completing the structured education, participants might have been encouraged to continue using the website if there was more interactivity (1) between the website and other resources and devices they were using for self-management, (2) with health professionals and services, and (3) with other people living with T2DM. There was consensus that the website was particularly useful for people who had been newly diagnosed with T2DM. CONCLUSIONS Digital Diabetes Self-Management Education and Support programs offering emotional aspects of self-management are addressing an unmet need. Primary care practices could consider offering Healthy Living to people as soon as they are diagnosed with T2DM. Participants suggested ways in which Healthy Living could increase interaction with the website to promote continued long-term use.
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Affiliation(s)
- Rhiannon E Hawkes
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Jack S Benton
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Sarah Cotterill
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - Caroline Sanders
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, University of Manchester, Manchester, United Kingdom
| | - David P French
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
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van Dommelen P, Arnaud L, Assefi AR, Crespo ML, Debicki M, Michelis F, Koledova E. The growzen™ buddy smartphone app to improve adherence in patients receiving recombinant human growth hormone therapy: a retrospective observational study in Argentina. Front Endocrinol (Lausanne) 2024; 15:1372716. [PMID: 39015178 PMCID: PMC11250275 DOI: 10.3389/fendo.2024.1372716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 03/20/2024] [Indexed: 07/18/2024] Open
Abstract
Introduction This study in Argentina evaluated the impact of the growzen™ buddy smartphone app on adherence to recombinant human growth hormone (r-hGH) treatment. Methods The adherence data, invitation dates with a link to the app, app activation dates, and height measurements entered were extracted from the growzen™ digital health ecosystem. Patients with 12 months of adherence data, aged ≥2 years at treatment start, and aged <19 years were selected both before and after app implementation. Mean adherence was classified as optimal (≥85%) versus suboptimal (<85%). Adherence before and after implementation and the pre-post effect on adherence were assessed. Results Data for 830 patients were available. Prior to app implementation, the proportion of patients with optimal adherence was 68% (n = 348/515). Following the app implementation, out of 315 patients, 302 (96%) received an invitation with a link to the app, 225 (71%) activated their account, and 127 (40%) entered height data in the first year. There was a significant early increase in the proportion of patients with optimal adherence following implementation: 82% (n = 258/315), p < 0.001. After implementation, the proportion of patients with optimal adherence included 80% (n = 78/98) of those with an active account who did not enter height measurements and 89% (n = 113/127) of those who did. There was a significant and positive pre-post app effect on adherence (p < 0.01) in patients with an active account. Discussion Our results show that using the growzen™ buddy app has a rapid and positive impact on adherence to r-hGH treatment, and patients who were more engaged with the app demonstrated better adherence.
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Affiliation(s)
- Paula van Dommelen
- Department of Child Health, The Netherlands Organization for Applied Scientific Research TNO, Leiden, Netherlands
| | - Lilian Arnaud
- Global Digital Health, Global Healthcare Operations, Ares Trading SA (an affiliate of Merck KGaA), Eysins, Switzerland
| | - Aria Reza Assefi
- Medical Department, Merck S.A. (an affiliate of Merck KGaA), Buenos Aires, Argentina
| | - Maria Lourdes Crespo
- Fertility and Endocrinology, Merck S.A. (an affiliate of Merck KGaA), Buenos Aires, Argentina
| | - Matias Debicki
- Patient Support Program, Merck S.A. (an affiliate of Merck KGaA), Buenos Aires, Argentina
| | - Fulvio Michelis
- Global Digital Health, Global Healthcare Operations, Ares Trading SA (an affiliate of Merck KGaA), Eysins, Switzerland
| | - Ekaterina Koledova
- Global Medical Affairs Cardiometabolic and Endocrinology, Merck Healthcare KGaA, Darmstadt, Germany
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Trần TB, Ambrens M, Nguyễn J, Coleman E, Gilanyi Y, Letton M, Pandit A, Lock L, Thom JM, Sen S, Lambert K, Arnold R. Preferences of people with chronic kidney disease regarding digital health interventions that promote healthy lifestyle: qualitative systematic review with meta-ethnography. BMJ Open 2024; 14:e082345. [PMID: 38802278 PMCID: PMC11131123 DOI: 10.1136/bmjopen-2023-082345] [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: 11/21/2023] [Accepted: 04/25/2024] [Indexed: 05/29/2024] Open
Abstract
OBJECTIVES Diet and physical activity are crucial for people with chronic kidney disease (CKD) to maintain good health. Digital health interventions can increase access to lifestyle services. However, consumers' perspectives are unclear, which may reduce the capacity to develop interventions that align with specific needs and preferences. Therefore, this review aims to synthesise the preferences of people with CKD regarding digital health interventions that promote healthy lifestyle. DESIGN Qualitative systematic review with meta-ethnography. DATA SOURCES Databases Scopus, CENTRAL, MEDLINE, CINAHL and SPORTDiscus were searched between 2000 and 2023. ELIGIBILITY CRITERIA Primary research papers that used qualitative exploration methods to explore the preferences of adults with CKD (≥18 years) regarding digital health interventions that promoted diet, physical activity or a combination of these health behaviours. DATA EXTRACTION AND SYNTHESIS Two independent reviewers screened title, abstract and full text. Discrepancies were resolved by a third reviewer. Consumers' quotes were extracted verbatim and synthesised into higher-order themes and subthemes. RESULTS Database search yielded 5761 records. One record was identified following communication with a primary author. 15 papers were included. These papers comprised 197 consumers (mean age 51.0±7.2), including 83 people with CKD 1-5; 61 kidney transplant recipients; 53 people on dialysis. Sex was reported in 182 people, including 53% male. Five themes were generated regarding consumers' preferences for digital lifestyle interventions. These included simple instruction and engaging design; individualised interventions; virtual communities of care; education and action plans; and timely reminders and automated behavioural monitoring. CONCLUSION Digital health interventions were considered an important mechanism to access lifestyle services. Consumers' preferences are important to ensure future interventions are tailored to specific needs and goals. Future research may consider applying the conceptual framework of consumers' preferences in this review to develop and evaluate the effect of a digital lifestyle intervention on health outcomes. PROSPERO REGISTRATION NUMBER CRD42023411511.
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Affiliation(s)
- Thái Bình Trần
- School of Medical, Indigenous and Health Sciences, University of Wollongong Faculty of Science Medicine and Health, Wollongong, New South Wales, Australia
- Department of Renal Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Meghan Ambrens
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, New South Wales, Australia
- School of Population Health, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
| | - Jennifer Nguyễn
- Department of Renal Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia
- School of Health Sciences, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
| | - Eve Coleman
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, New South Wales, Australia
- School of Health Sciences, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
| | - Yannick Gilanyi
- School of Health Sciences, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Meg Letton
- School of Medical, Indigenous and Health Sciences, University of Wollongong Faculty of Science Medicine and Health, Wollongong, New South Wales, Australia
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, New South Wales, Australia
| | - Anurag Pandit
- School of Health Sciences, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
| | - Logan Lock
- School of Health Sciences, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
| | - Jeanette M Thom
- School of Health Sciences, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
- Sydney Musculoskeletal Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Shaundeep Sen
- Department of Renal Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia
- Concord Clinical School, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Kelly Lambert
- School of Medical, Indigenous and Health Sciences, University of Wollongong Faculty of Science Medicine and Health, Wollongong, New South Wales, Australia
- Illawarra Shoalhaven Local Health District, Wollongong, New South Wales, Australia
| | - Ria Arnold
- School of Medical, Indigenous and Health Sciences, University of Wollongong Faculty of Science Medicine and Health, Wollongong, New South Wales, Australia
- Department of Renal Medicine, Concord Repatriation General Hospital, Concord, New South Wales, Australia
- School of Health Sciences, University of New South Wales Faculty of Medicine, Sydney, New South Wales, Australia
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Kirsch EP, Kunte SA, Wu KA, Kaplan S, Hwang ES, Plichta JK, Lad SP. Digital Health Platforms for Breast Cancer Care: A Scoping Review. J Clin Med 2024; 13:1937. [PMID: 38610702 PMCID: PMC11012307 DOI: 10.3390/jcm13071937] [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: 02/28/2024] [Revised: 03/12/2024] [Accepted: 03/23/2024] [Indexed: 04/14/2024] Open
Abstract
Breast cancer is a significant global health concern affecting millions of women each year. Digital health platforms are an easily accessible intervention that can improve patient care, though their efficacy in breast cancer care is unknown. This scoping review aims to provide an overview of existing research on the utilization of digital health platforms for breast cancer care and identify key trends and gaps in the literature. A comprehensive literature search was conducted across electronic databases, including Ovid MEDLINE, Elsevier EMBASE, and Elsevier Scopus databases. The search strategy incorporated keywords related to "digital health platforms", "breast cancer care", and associated terminologies. After screening for eligibility, a total of 25 articles were included in this scoping review. The identified studies comprised mobile applications and web-based interventions. These platforms demonstrated various functionalities, including patient education, symptom monitoring, treatment adherence, and psychosocial support. The findings indicate the potential of digital health platforms in improving breast cancer care and patients' overall experiences. The positive impact on patient outcomes, including improved quality of life and reduced psychological distress, underscores the importance of incorporating digital health solutions into breast cancer management. Additional research is necessary to validate the effectiveness of these platforms in diverse patient populations and assess their impact on healthcare-resource utilization.
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Affiliation(s)
- Elayna P. Kirsch
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Sameer A. Kunte
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Kevin A. Wu
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Samantha Kaplan
- Medical Center Library & Archives, Duke University School of Medicine, Durham, NC 27710, USA
| | - E. Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, NC 27710, USA (J.K.P.)
| | - Jennifer K. Plichta
- Department of Surgery, Duke University Medical Center, Durham, NC 27710, USA (J.K.P.)
| | - Shivanand P. Lad
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
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Tok Özen A, Bulantekin Düzalan Ö, Yalçın B. Metaphoric perceptions of individuals with diabetes in Turkey: A content analysis. BELITUNG NURSING JOURNAL 2024; 10:31-40. [PMID: 38425681 PMCID: PMC10900055 DOI: 10.33546/bnj.3081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/01/2023] [Accepted: 01/19/2024] [Indexed: 03/02/2024] Open
Abstract
Background The diagnosis of diabetes mellitus adversely impacts the quality of life due to treatment, changes in daily life, functional disability, and emerging complications. Using metaphors to convey perceptions of diseases and life experiences is crucial for understanding healthcare behaviors. Objective This study aimed to explore the metaphorical perceptions of "diabetes" and "being a person with diabetes" within a sample group of individuals with diabetes in Turkey. Methods A qualitative design was employed to investigate the metaphoric perceptions of 72 people with diabetes. Data were collected face-to-face between 15 May and June 2023 using a semi-structured questionnaire. Data were analyzed using content analysis. Results From the statements of the individuals with diabetes in the sample, seven metaphoric themes related to diabetes - "pain and distress, helplessness and hopelessness, instability, attention and sensitivity, captivity, positive outlook and acceptance, deprivation" - and six metaphoric themes concerning being a person with diabetes - "suffocation and distress, helplessness, powerlessness and disappointment, captivity, attention and sensitivity, guilt, and being worn out" - were identified. Commonly recurring sub-themes with negative connotations included "darkness, well, convict, prison, captivity, microbe, infectious disease, a hot flush, guilt, clouding life, and being ruined." Some positively framed statements included "friend, traffic sign, and driving a car." Conclusion The majority of patients in the study used negative metaphors, with fewer expressing positive sentiments regarding the necessity of accepting and paying attention to the disease. Defining individuals' metaphorical perceptions of their disease may enable the provision of better quality and holistic care. Nurses, in particular, play a crucial role in facilitating behavioral changes for patients with diabetes to achieve self-management.
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Affiliation(s)
- Aslı Tok Özen
- Department of Nursing, Faculty of Health Sciences, Çankırı Karatekin University, Turkey
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Karimi N, Opie R, Crawford D, O'Connell S, Ball K. Digitally Delivered Interventions to Improve Nutrition Behaviors Among Resource-Poor and Ethnic Minority Groups With Type 2 Diabetes: Systematic Review. J Med Internet Res 2024; 26:e42595. [PMID: 38300694 PMCID: PMC10870209 DOI: 10.2196/42595] [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: 09/10/2022] [Revised: 06/22/2023] [Accepted: 07/30/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Resource-poor individuals, such as those with a low income, are disproportionately affected by diabetes and unhealthy eating patterns that contribute to poor disease self-management and prognosis. Digitally delivered interventions have the potential to address some of the barriers to healthy eating experienced by this group. However, little is known about their effectiveness in disadvantaged populations. OBJECTIVE This systematic review is conducted to assess the effectiveness of digitally delivered interventions in improving nutritional behaviors and nutrition-related health outcomes among disadvantaged people with type 2 diabetes (T2D). METHODS MEDLINE complete, Global Health, Embase, CINAHL complete, Informit Health, IEEE Xplore, and Applied Science and Technology Source databases were searched for studies published between 1990 and 2022 on digitally delivered nutrition interventions for disadvantaged people with T2D. Two reviewers independently assessed the studies for eligibility and determined the study quality using the Cochrane Risk-of-Bias Assessment Tool. The Behavioral Change Technique Taxonomy V1 was used to identify behavior change techniques used in the design of interventions. RESULTS Of the 2434 identified records, 10 (0.4%), comprising 947 participants, met the eligibility criteria and were included in the review. A total of 2 digital platforms, web and messaging services (eg, SMS text messaging interventions or multimedia messaging service), were used to deliver interventions. Substantial improvements in dietary behaviors were reported in 5 (50%) of the 10 studies, representing improvements in healthier food choices or increases in dietary knowledge and skills or self-efficacy. Of the 10 studies, 7 (70%) examined changes in blood glucose levels, of which 4 (57%) out of 7 achieved significant decreases in hemoglobin A1C levels ranging from 0.3% to 1.8%. The most frequently identified behavior change techniques across all studies were instruction on how to perform the behavior, information about health consequences, and social support. CONCLUSIONS This review provided some support for the efficacy of digitally delivered interventions in improving healthy eating behaviors in disadvantaged people with T2D, an essential dietary prerequisite for changes in clinical metabolic parameters. Further research is needed into how disadvantaged people with T2D may benefit more from digital approaches and to identify the specific features of effective digital interventions for supporting healthy behaviors among disadvantaged populations. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42020149844; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=149844.
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Affiliation(s)
- Nazgol Karimi
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
| | - Rachelle Opie
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
| | - David Crawford
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
| | - Stella O'Connell
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
| | - Kylie Ball
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
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Grady A, Pearson N, Lamont H, Leigh L, Wolfenden L, Barnes C, Wyse R, Finch M, Mclaughlin M, Delaney T, Sutherland R, Hodder R, Yoong SL. The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis. J Med Internet Res 2023; 25:e47987. [PMID: 38113062 PMCID: PMC10762625 DOI: 10.2196/47987] [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: 04/07/2023] [Revised: 09/07/2023] [Accepted: 09/07/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Digital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs. OBJECTIVE This study aims to assess the overall effectiveness of strategies to improve engagement with DHIs targeting nutrition, physical activity, and overweight or obesity and explore associations between strategies and engagement outcomes. The secondary aim was to explore the impact of these strategies on health risk outcomes. METHODS The MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, Scopus, and Academic Source Complete databases were searched up to July 24, 2023. Eligible studies were randomized controlled trials that evaluated strategies to improve engagement with DHIs and reported on outcomes related to DHI engagement (use or user experience). Strategies were classified according to behavior change techniques (BCTs) and design features (eg, supplementary emails). Multiple-variable meta-analyses of the primary outcomes (usage and user experience) were undertaken to assess the overall effectiveness of strategies. Meta-regressions were conducted to assess associations between strategies and use and user experience outcomes. Synthesis of secondary outcomes followed the "Synthesis Without Meta-Analysis" guidelines. The methodological quality and evidence was assessed using the Cochrane risk-of-bias tool, and the Grading of Recommendations Assessment, Development, and Evaluation tool respectively. RESULTS Overall, 54 studies (across 62 publications) were included. Pooled analysis found very low-certainty evidence of a small-to-moderate positive effect of the use of strategies to improve DHI use (standardized mean difference=0.33, 95% CI 0.20-0.46; P<.001) and very low-certainty evidence of a small-to-moderate positive effect on user experience (standardized mean difference=0.29, 95% CI 0.07-0.52; P=.01). A significant positive association was found between the BCTs social support (effect size [ES]=0.40, 95% CI 0.14-0.66; P<.001) and shaping knowledge (ES=0.39, 95% CI 0.03-0.74; P=.03) and DHI use. A significant positive association was found among the BCTs social support (ES=0.70, 95% CI 0.18-1.22; P=.01), repetition and substitution (ES=0.29, 95% CI 0.05-0.53; P=.03), and natural consequences (ES=0.29, 95% CI 0.05-0.53; P=.02); the design features email (ES=0.29, 95% CI 0.05-0.53; P=.02) and SMS text messages (ES=0.34, 95% CI 0.11-0.57; P=.01); and DHI user experience. For secondary outcomes, 47% (7/15) of nutrition-related, 73% (24/33) of physical activity-related, and 41% (14/34) of overweight- and obesity-related outcomes reported an improvement in health outcomes. CONCLUSIONS Although findings suggest that the use of strategies may improve engagement with DHIs targeting such health outcomes, the true effect is unknown because of the low quality of evidence. Future research exploring whether specific forms of social support, repetition and substitution, natural consequences, emails, and SMS text messages have a greater impact on DHI engagement is warranted. TRIAL REGISTRATION PROSPERO CRD42018077333; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=77333.
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Affiliation(s)
- Alice Grady
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Nicole Pearson
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Hannah Lamont
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Lucy Leigh
- Data Sciences, Hunter Medical Research Institute, New Lambton, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Rebecca Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
- Equity in Health and Wellbeing Program, Hunter Medical Research Institute, New Lambton, Australia
| | - Meghan Finch
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Matthew Mclaughlin
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Tessa Delaney
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Rebecca Hodder
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, Australia
- College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
- Global Obesity Centre, Institute for Health Transformation, School of Health and Social Development, Deakin University, Melbourne, Australia
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10
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Johnsson N, Strandberg S, Tuvesson H, Fagerström C, Ekstedt M, Lindberg C. Delineating and clarifying the concept of self-care monitoring: a concept analysis. Int J Qual Stud Health Well-being 2023; 18:2241231. [PMID: 37506372 PMCID: PMC10392281 DOI: 10.1080/17482631.2023.2241231] [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] [Received: 03/17/2023] [Accepted: 07/22/2023] [Indexed: 07/30/2023] Open
Abstract
AIM To delineate and clarify the meaning of the concept of self-care monitoring from a patient perspective. METHODS A systematic search was performed in the databases ASSIA, CINAHL, PsycInfo, and PubMed (January 2016-September 2021). A selection of 46 peer-reviewed articles was included in the study and analysed using Rodgers' Evolutionary Method for Concept Analysis. RESULTS The following four attributes were identified: Tracking symptoms, signs, and actions, Paying attention, Being confident, and Needing routines, creating a descriptive definition: "Self-care monitoring is an activity that means a person has to pay attention and be confident and needs routines for tracking symptoms, signs, and action." The antecedents of the concept were shown to be Increased knowledge, Wish for independence, and Commitment. The concepts' consequences were identified as Increased interaction, Perceived burden, and Enhanced well-being. CONCLUSIONS This concept analysis provides extensive understanding of self-care monitoring from a patient perspective. It was shown that the concept occurs when a person practices self-care monitoring at home either with or without devices. A descriptive definition was constructed and presented with exemplars to encourage practice of the concept in various healthcare settings and could be of relevance to people with chronic illnesses or other long-term conditions.
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Affiliation(s)
- Natali Johnsson
- Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden
| | | | - Hanna Tuvesson
- Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden
| | - Cecilia Fagerström
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
| | - Mirjam Ekstedt
- Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden
- Department of Learning, Informatics, Management, and Ethics, Karolinska Institutet, Stockholm, Sweden
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11
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Wu KA, Kunte S, Rajkumar S, Venkatraman V, Kim G, Kaplan S, Anwar-Hashmi SO, Doberne J, Nguyen TC, Lad SP. Digital Health for Patients Undergoing Cardiac Surgery: A Systematic Review. Healthcare (Basel) 2023; 11:2411. [PMID: 37685445 PMCID: PMC10487407 DOI: 10.3390/healthcare11172411] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/14/2023] [Accepted: 08/26/2023] [Indexed: 09/10/2023] Open
Abstract
Digital health interventions have shown promise in improving patient outcomes and experiences in various healthcare settings. However, their effectiveness in the context of cardiac surgery remains uncertain. This systematic review aims to evaluate the existing evidence on the use of digital health interventions for patients undergoing cardiac surgery. A comprehensive search of PubMed MEDLINE, Elsevier EMBASE, Elsevier Scopus databases, and ClinicalTrials.gov was conducted to identify relevant studies published up to the present. Studies that examined the effects of digital health interventions, including mobile applications and web-based interventions, on perioperative care and patient outcomes in cardiac surgery were included. The data were extracted and synthesized to provide a comprehensive overview of the findings. The search yielded 15 studies composed of 4041 patients, analyzing the feasibility and implementation of mobile or internet applications for patients undergoing cardiac surgery. The studies included the use of mobile applications (ManageMySurgery, SeamlessMD, mHeart, Telediaglog, ExSed, Soulage Tavie, Heart Health application, and Mayo Clinic Health Connection) and web-based interventions (Heartnet and Active Heart). The findings indicated that these digital health interventions were associated with improved patient engagement, satisfaction, and reduced healthcare utilization. Patients reported finding the interventions helpful in their recovery process, and there was evidence of enhanced symptom monitoring and timely intervention. The completion rates of modules varied depending on the phase of care, with higher engagement observed during the acute phase. Interest in using digital health applications was expressed by patients, regardless of age, gender, or complexity of the cardiac defect. The results demonstrated that web-based interventions resulted in improvements in mental health, quality of life, and eHealth literacy. This systematic review highlights the potential benefits of digital health interventions in the context of cardiac surgery. Further research, including randomized controlled trials, is needed to establish the effectiveness, feasibility, and generalizability of digital health interventions in cardiac surgery.
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Affiliation(s)
- Kevin A. Wu
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Sameer Kunte
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Shashank Rajkumar
- Department of Neurosurgery, Yale University, New Haven, CT 06510, USA
| | - Vishal Venkatraman
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Grace Kim
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Samantha Kaplan
- Medical Center Library & Archives, Duke University School of Medicine, Durham, NC 27710, USA
| | - Syed Omar Anwar-Hashmi
- Department of Surgery, Loyola University Chicago’s Stritch School of Medicine, Maywood, IL 60153, USA
| | - Julie Doberne
- Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC 27707, USA
| | - Tom C. Nguyen
- Division of Adult Cardiothoracic Surgery, Department of Surgery, UCSF Health, San Francisco, CA 94143, USA
| | - Shivanand P. Lad
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
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12
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Gardner C, Wake D, Brodie D, Silverstein A, Young S, Cunningham S, Sainsbury C, Ilia M, Lucas A, Willis T, Halligan J. Evaluation of prototype risk prediction tools for clinicians and people living with type 2 diabetes in North West London using the think aloud method. Digit Health 2023; 9:20552076221128677. [PMID: 36644660 PMCID: PMC9834412 DOI: 10.1177/20552076221128677] [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: 09/17/2021] [Accepted: 09/08/2022] [Indexed: 01/10/2023] Open
Abstract
The prevalence of type 2 diabetes in North West London (NWL) is relatively high compared to other parts of the United Kingdom with outcomes suboptimal. This presents a need for more effective strategies to identify people living with type 2 diabetes who need additional support. An emerging subset of web-based interventions for diabetes self-management and population management has used artificial intelligence and machine learning models to stratify the risk of complications from diabetes and identify patients in need of immediate support. In this study, two prototype risk prediction tools on the MyWay Diabetes and MyWay Clinical platforms were evaluated with six clinicians and six people living with type 2 diabetes in NWL using the think aloud method. The results of the sessions with people living with type 2 diabetes showed that the concept of the tool was intuitive, however, more instruction on how to correctly use the risk prediction tool would be valuable. The feedback from the sessions with clinicians was that the data presented in the tool aligned with the key diabetes targets in NWL, and that this would be useful for identifying and inviting patients to the practice who are overdue for tests and at risk of complications. The findings of the evaluation have been used to support the development of the prototype risk predictions tools. This study demonstrates the value of conducting usability testing on web-based interventions designed to support the targeted management of type 2 diabetes in local communities.
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Affiliation(s)
- Clarissa Gardner
- Department of Surgery and Cancer, Institute of Global Health Innovation, Imperial College London, London, UK,Clarissa Gardner, Institute of Global Health Innovation, Imperial College London, Level 10, QEQM Building, St Mary’s Hospital, Paddington Basin, London W2 1NY, UK.
| | - Deborah Wake
- MyWay Digital Health, Dundee, UK,Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | | | - Alex Silverstein
- Local Care Directorate, NHS North West London Integrated Care Board, London, UK
| | - Sophie Young
- Information Directorate, Imperial College Health Partners, London, UK
| | | | | | - Maria Ilia
- Information Directorate, Imperial College Health Partners, London, UK
| | - Amanda Lucas
- Information Directorate, Imperial College Health Partners, London, UK
| | - Tony Willis
- Diabetes Transformation Team, NHS North West London Collaboration of CCGs, London, UK
| | - Jack Halligan
- Department of Surgery and Cancer, Institute of Global Health Innovation, Imperial College London, London, UK
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13
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Whitehouse CR, Knowles M, Long JA, Mitra N, Volpp KG, Xu C, Sabini C, Gerald N, Estrada I, Jones D, Kangovi S. Digital Health and Community Health Worker Support for Diabetes Management: a Randomized Controlled Trial. J Gen Intern Med 2023; 38:131-137. [PMID: 35581452 PMCID: PMC9113615 DOI: 10.1007/s11606-022-07639-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/22/2022] [Indexed: 01/22/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate the effectiveness of a digital health intervention plus community health worker (CHW) support on self-monitoring of blood glucose and glycosylated hemoglobin (HbA1c) among adult Medicaid beneficiaries with diabetes. DESIGN Randomized controlled trial. SETTING Urban outpatient clinic. PARTICIPANTS Adult Medicaid beneficiaries living with diabetes and treated with insulin and who had a HbA1c ≥ 9%. INTERVENTION Participants were randomly assigned to one of three arms. Participants in the usual-care arm received a wireless glucometer if needed. Those in the digital arm received a lottery incentive for daily glucose monitoring. Those in the hybrid arm received the lottery plus support from a CHW if they had low adherence or high blood glucose levels. MAIN MEASURES The primary outcome was the difference in adherence to daily glucose self-monitoring at 3 months between the hybrid and usual-care arms. The secondary outcome was difference in HbA1c from baseline at 6 months. KEY RESULTS A total of 150 participants were enrolled in the study. A total of 102 participants (68%) completed the study. At 3 months, glucose self-monitoring rates in the hybrid versus usual-care arms were 0.72 vs 0.65, p = 0.23. At 6 months, change in HbA1c in the hybrid versus usual-care arms was - 0.74% vs - 0.49%, p = 0.69. CONCLUSION There were no statistically significant differences between the hybrid and usual care in glucose self-monitoring adherence or improvements in HbA1C. TRIAL REGISTRATION This trial is registered with clinicaltrials.gov identifier: NCT03939793.
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Affiliation(s)
- Christina R Whitehouse
- M. Louise Fitzpatrick College of Nursing, Villanova University, 800 E. Lancaster Avenue, Villanova, PA, 19085, USA.
- Clinical Practices of the University of Pennsylvania, Penn Medicine, Philadelphia, PA, USA.
| | - Molly Knowles
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Judith A Long
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Nandita Mitra
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G Volpp
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Chang Xu
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carolyn Sabini
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Norma Gerald
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Irene Estrada
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Denerale Jones
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Shreya Kangovi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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14
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Real-world demographic patterns of users of a digital primary prevention service for diabetes. Cardiovasc Endocrinol Metab 2022; 12:e0275. [PMID: 36582668 PMCID: PMC9750647 DOI: 10.1097/xce.0000000000000275] [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: 08/05/2022] [Accepted: 11/18/2022] [Indexed: 12/14/2022]
Abstract
Rapid urbanization has led to an exponential increase in lifestyle-associated metabolic disorders presenting a huge socioeconomic burden. Waya is a digital prevention program that guides overweight and obese individuals to maintain a healthy lifestyle through exercise, diet, and educational videos. Objectives and aims We aimed to study the demographic patterns of the Waya cohort and examine the prevalence of diabetes (the most common lifestyle-associated metabolic disorder) and its risk factors in comparison to the GEDA 2014/2015-European Health Interview Survey population. Methods Waya participants who registered by 1 October 2020 and who answered at least one health survey question were included in this study. Factors such as obesity, hypertension, and diabetes between the two populations were compared using Chi-square test. Results Of the 837 participants, 86.1% were women. The proportion of obese participants was higher in Waya than in the German Health Update (GEDA) cohort (women: 39.4% vs. 18%, P < 0.05; men: 37.1% vs. 18.3%, P < 0.05), whereas the proportion of participants with hypertension (women: 12.1% vs. 30.9% in GEDA, P < 0.05; men: 22.4% vs. 32.8% in GEDA, P < 0.05) was lower. The proportion of women with diabetes was low in our cohort (3.9% vs. 7% in GEDA, P < 0.05); however, the proportion of men with diabetes remained the same between the two groups. We observed significant differences between the GEDA and Waya cohorts due to changes in the prevalence pattern over time or target bias of the digital program. Conclusion These findings showcase the usability of Waya in collecting real-world insights, which will be beneficial in monitoring the prevalence of chronic metabolic disorders and associated risk factors over time.
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15
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Lee EH, Lee YW, Lee KW, Kim HJ, Hong S, Kim SH, Kang EH. Development and psychometric evaluation of a new brief scale to measure eHealth literacy in people with type 2 diabetes. BMC Nurs 2022; 21:297. [PMID: 36333750 PMCID: PMC9635185 DOI: 10.1186/s12912-022-01062-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
Background The internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information. Aims The aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes. Methods An instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed. Results An expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach’s alpha and omega values were excellent for each factor (0.87–0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size. Conclusion A new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test–retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents. Supplementary Information The online version contains supplementary material available at 10.1186/s12912-022-01062-2.
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Affiliation(s)
- Eun-Hyun Lee
- grid.251916.80000 0004 0532 3933Graduate School of Public Health, Ajou University, 164 Worldcup-ro, Yeongtong-gu, 16499 Suwon, Gyeonggi-do Republic of Korea
| | - Young Whee Lee
- grid.202119.90000 0001 2364 8385Department of Nursing, Inha University, Incheon, Republic of Korea
| | - Kwan-Woo Lee
- grid.251916.80000 0004 0532 3933Department of Endocrinology and Metabolism, School of Medicine, Ajou University, Suwon, Republic of Korea
| | - Hae Jin Kim
- grid.251916.80000 0004 0532 3933Department of Endocrinology and Metabolism, School of Medicine, Ajou University, Suwon, Republic of Korea
| | - Seongbin Hong
- grid.202119.90000 0001 2364 8385Department of Internal Medicine, School of Medicine, Inha University, Incheon, Republic of Korea
| | - So Hun Kim
- grid.202119.90000 0001 2364 8385Department of Internal Medicine, School of Medicine, Inha University, Incheon, Republic of Korea
| | - Eun Hee Kang
- grid.251916.80000 0004 0532 3933Graduate School of Public Health, Ajou University, 164 Worldcup-ro, Yeongtong-gu, 16499 Suwon, Gyeonggi-do Republic of Korea
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16
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Chen HM, Su BY. Factors Related to the Continuity of Care and Self-Management of Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study in Taiwan. Healthcare (Basel) 2022; 10:2088. [PMID: 36292535 PMCID: PMC9602078 DOI: 10.3390/healthcare10102088] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Most diabetic patients suffer from chronic diseases affecting their self-management status. This study aims to explore the relationship between the CoC and the self-management of patients with Type 2 Diabetes Mellitus (T2DM) and analyze the predictive factors affecting their self-management. METHODS Structured questionnaires were used for data collection. Convenient sampling was adopted to recruit inpatients diagnosed with T2DM in the endocrine ward of a medical hospital in central Taiwan. RESULTS A total of 160 patients were recruited. The average age of the patients is 66.60 ± 14.57 years old. Among the four dimensions of the self-management scale, the average score of the problem-solving dimension was the highest, and that of the self-monitoring of blood glucose was the lowest. The analysis results showed that the overall regression model could explain 20.7% of the total variance in self-management. CONCLUSIONS Healthcare providers should attach importance to the CoC of T2DM patients and encourage patients to maintain good interaction with healthcare providers during their hospitalization. It is recommended to strengthen CoC for patients with diabetes who are single or with low educational levels in clinical practice to enhance their blood glucose control and improve diabetes self-management.
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Affiliation(s)
- Hsiao-Mei Chen
- Department of Nursing, Chung Shan Medical University, Taichung 40201, Taiwan
- Department of Nursing, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
| | - Bei-Yi Su
- Department of Psychology, Chung Shan Medical University, Taichung 40201, Taiwan
- Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
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17
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Duffy A, Christie GJ, Moreno S. The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review. JMIR Hum Factors 2022; 9:e35693. [PMID: 36083628 PMCID: PMC9508664 DOI: 10.2196/35693] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 05/19/2022] [Accepted: 07/18/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Digital health represents an important strategy in the future of health care delivery. Over the past decade, mobile health has accelerated the agency of health care users. Despite prevailing excitement about the potential of digital health, questions remain on efficacy, uptake, usability, and patient outcome. This challenge is confounded by 2 industries, digital and health, which have vastly different approaches to research, design, testing, and implementation. In this regard, there is a need to examine prevailing design approaches, weigh their benefits and challenges toward implementation, and recommend a path forward that synthesizes the needs of this complex stakeholder group. OBJECTIVE In this review, we aimed to study prominent digital health intervention design approaches that mediate the digital health space. In doing so, we sought to examine the origins, perceived benefits, contrasting nuances, challenges, and typical use-case scenarios of each methodology. METHODS A narrative review of digital health design approaches was performed between September 2020 and April 2021 by referencing keywords such as "digital health design," "mHealth design," "e-Health design," "agile health," and "agile healthcare." The studies selected after screening were those that discussed the design and implementation of digital health design approaches. A total of 120 studies were selected for full-text review, of which 62 (51.6%) were selected for inclusion in this review. RESULTS A review identifying the 5 overarching digital health design approaches was compiled: user-centered design, person-based design, human-centered design, patient-centered design, and patient-led design. The findings were synthesized in a narrative structure discussing the origins, advantages, disadvantages, challenges, and potential use-case scenarios. CONCLUSIONS Digital health is experiencing the growing pains of rapid expansion. Currently, numerous design approaches are being implemented to harmonize the needs of a complex stakeholder group. Whether the end user is positioned as a person, patient, or user, the challenge to synthesize the constraints and affordances of both digital design and health care, built equally around user satisfaction and clinical efficacy, remains paramount. Further research that works toward a transdisciplinarity in digital health may help break down friction in this field. Until digital health is viewed as a hybridized industry with unique requirements rather than one with competing interests, the nuances that each design approach posits will be difficult to realize in a real-world context. We encourage the collaboration of digital and health experts within hybrid design teams, through all stages of intervention design, to create a better digital health culture and design ethos.
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Affiliation(s)
- Anthony Duffy
- School of Interactive Arts & Technology, Simon Fraser University, Surrey, BC, Canada
| | | | - Sylvain Moreno
- School of Interactive Arts & Technology, Simon Fraser University, Surrey, BC, Canada
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18
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Wang T, Giunti G, Melles M, Goossens R. Digital Patient Experience: Umbrella Systematic Review. J Med Internet Res 2022; 24:e37952. [PMID: 35925651 PMCID: PMC9389377 DOI: 10.2196/37952] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/26/2022] [Accepted: 05/31/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The adoption and use of technology have significantly changed health care delivery. Patient experience has become a significant factor in the entire spectrum of patient-centered health care delivery. Digital health facilitates further improvement and empowerment of patient experiences. Therefore, the design of digital health is served by insights into the barriers to and facilitators of digital patient experience (PEx). OBJECTIVE This study aimed to systematically review the influencing factors and design considerations of PEx in digital health from the literature and generate design guidelines for further improvement of PEx in digital health. METHODS We performed an umbrella systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. We searched Scopus, PubMed, and Web of Science databases. Two rounds of small random sampling (20%) were independently reviewed by 2 reviewers who evaluated the eligibility of the articles against the selection criteria. Two-round interrater reliability was assessed using the Fleiss-Cohen coefficient (k1=0.88 and k2=0.80). Thematic analysis was applied to analyze the extracted data based on a small set of a priori categories. RESULTS The search yielded 173 records, of which 45 (26%) were selected for data analysis. Findings and conclusions showed a great diversity; most studies presented a set of themes (19/45, 42%) or descriptive information only (16/45, 36%). The digital PEx-related influencing factors were classified into 9 categories: patient capability, patient opportunity, patient motivation, intervention technology, intervention functionality, intervention interaction design, organizational environment, physical environment, and social environment. These can have three types of impacts: positive, negative, or double edged. We captured 4 design constructs (personalization, information, navigation, and visualization) and 3 design methods (human-centered or user-centered design, co-design or participatory design, and inclusive design) as design considerations. CONCLUSIONS We propose the following definition for digital PEx: "Digital patient experience is the sum of all interactions affected by a patient's behavioral determinants, framed by digital technologies, and shaped by organizational culture, that influence patient perceptions across the continuum of care channeling digital health." In this study, we constructed a design and evaluation framework that contains 4 phases-define design, define evaluation, design ideation, and design evaluation-and 9 design guidelines to help digital health designers and developers address digital PEx throughout the entire design process. Finally, our review suggests 6 directions for future digital PEx-related research.
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Affiliation(s)
- Tingting Wang
- Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Guido Giunti
- Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
- Digital Health Design and Development, University of Oulu, Oulu, Finland
| | - Marijke Melles
- Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Richard Goossens
- Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
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19
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Hanson P, Parmar D, Deo P, Whyteoshodi D, Gotts C, O'Hare PJ, Randeva H, Barber TM. Insights into optimising education for patients living with diabetes mellitus: A model for the post‐pandemic era, informed by survey data. LIFESTYLE MEDICINE 2022. [DOI: 10.1002/lim2.64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Petra Hanson
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
- NIHR CRF Human Metabolism Research Unit University Hospitals Coventry and Warwickshire Coventry UK
| | - Dilan Parmar
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
| | - Pranay Deo
- Department of Health Psychology University of the West of England Bristol UK
| | - Daniella Whyteoshodi
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
- NIHR CRF Human Metabolism Research Unit University Hospitals Coventry and Warwickshire Coventry UK
| | - Charlotte Gotts
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
| | - Paul J. O'Hare
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
- NIHR CRF Human Metabolism Research Unit University Hospitals Coventry and Warwickshire Coventry UK
| | - Harpal Randeva
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
- NIHR CRF Human Metabolism Research Unit University Hospitals Coventry and Warwickshire Coventry UK
- Aston Medical School Aston University Birmingham UK
| | - Thomas M. Barber
- Division of Biomedical Sciences Warwick Medical School University of Warwick Coventry UK
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism University Hospitals Coventry and Warwickshire Coventry UK
- NIHR CRF Human Metabolism Research Unit University Hospitals Coventry and Warwickshire Coventry UK
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20
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Xiao R, Ding C, Hu X. Time Synchronization of Multimodal Physiological Signals through Alignment of Common Signal Types and Its Technical Considerations in Digital Health. J Imaging 2022; 8:jimaging8050120. [PMID: 35621884 PMCID: PMC9145353 DOI: 10.3390/jimaging8050120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/14/2022] [Accepted: 04/19/2022] [Indexed: 02/01/2023] Open
Abstract
Background: Despite advancements in digital health, it remains challenging to obtain precise time synchronization of multimodal physiological signals collected through different devices. Existing algorithms mainly rely on specific physiological features that restrict the use cases to certain signal types. The present study aims to complement previous algorithms and solve a niche time alignment problem when a common signal type is available across different devices. Methods: We proposed a simple time alignment approach based on the direct cross-correlation of temporal amplitudes, making it agnostic and thus generalizable to different signal types. The approach was tested on a public electrocardiographic (ECG) dataset to simulate the synchronization of signals collected from an ECG watch and an ECG patch. The algorithm was evaluated considering key practical factors, including sample durations, signal quality index (SQI), resilience to noise, and varying sampling rates. Results: The proposed approach requires a short sample duration (30 s) to operate, and demonstrates stable performance across varying sampling rates and resilience to common noise. The lowest synchronization delay achieved by the algorithm is 0.13 s with the integration of SQI thresholding. Conclusions: Our findings help improve the time alignment of multimodal signals in digital health and advance healthcare toward precise remote monitoring and disease prevention.
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Affiliation(s)
- Ran Xiao
- School of Nursing, Duke University, Durham, NC 27708, USA
- Correspondence:
| | - Cheng Ding
- Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, GA 30332, USA;
| | - Xiao Hu
- School of Nursing, Emory University, Atlanta, GA 30322, USA;
- Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Department of Computer Science, College of Arts and Sciences, Emory University, Atlanta, GA 30322, USA
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21
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Dening J, George ES, Ball K, Mohebbi M, Shariful Islam SM. Randomised controlled trial of a web-based low carbohydrate diet intervention for adults with type 2 diabetes: the T2Diet study protocol. BMJ Open 2022; 12:e054594. [PMID: 35190434 PMCID: PMC8862456 DOI: 10.1136/bmjopen-2021-054594] [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] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Type 2 diabetes (T2D) management frequently involves a multidisciplinary care team. However, standard care for patients with T2D is the central role of the general practice physician, and consists of routine appointments to monitor glycaemic status and overall health. Dietary modification is an essential component of T2D management. Evidence suggests that a low carbohydrate diet (LCD) provides better clinical outcomes for people with T2D compared with other diets. However, providing dietary support in face-to-face settings is challenged by issues of availability and accessibility. Provided in conjunction with standard care, digital interventions can help bridge this gap. The objective of this paper is to describe the protocol of a randomised controlled trial (RCT) of a web-based intervention that will evaluate the effectiveness of standard care plus web-based LCD intervention when compared with standard care only. METHODS AND ANALYSIS In a two-arm parallel RCT, 100 adults with non-insulin-dependent T2D aged between 40 and 89 years will be randomised to either a theoretically informed 16-week automated web-based LCD intervention plus standard care or standard care only. LCD recommendations emphasise consuming nutrient-dense whole foods and encourage a daily carbohydrate goal of 50-100 g, with an objective of achieving 10% to <26% carbohydrates from total energy intake. Assessments will take place at baseline and 16 weeks. The primary outcome will be haemoglobin A1c. Additional data collected will include dietary intake, self-efficacy, weight and height, anti-diabetes medication and dosages, and diabetes-related comorbidities. Process evaluation will consist of a mixed-methods assessment of website engagement metrics, user experience and participants' perspectives. ETHICS AND DISSEMINATION All study procedures have been approved by the Deakin University Human Research Ethics Committee (2020-349). Study findings will be disseminated widely through public, professional and academic presentation and publication. TRIAL REGISTRATION NUMBER Australian New Zealand Clinical Trials Registry (ACTRN12621000096853).
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Affiliation(s)
- Jedha Dening
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Elena S George
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Kylie Ball
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Mohammadreza Mohebbi
- Biostatistics Unit, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
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22
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Hall L, Islam MS. Key Considerations for Understanding Usability of Digital Health Initiatives for Adults With Type 2 Diabetes: A Systematic Qualitative Literature Review. J Diabetes Sci Technol 2022; 17:833-842. [PMID: 35128964 DOI: 10.1177/19322968221075322] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIMS The rapidly growing number of adults with type 2 diabetes globally means the uses and benefits of digital health initiatives to enhance self-management of diabetes warrant review. This systematic qualitative literature review aimed to understand usability of digital health initiatives for adults with type 2 diabetes. METHODS This systematic qualitative literature review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, the PRISMA 2020 Statement methodology. Three databases were used (SCOPUS, Medline, and CINAHL) to identify studies published from 2016 to 2021 that focused on experiences, evaluations, and usability of digital health initiatives aimed at helping adults with type 2 diabetes to self-manage their condition. RESULTS From the 407 studies identified, 35 studies were assessed for eligibility with 10 studies included in the final synthesis. Five main themes emerged: (1) unmet emotional needs, (2) enhancing self-management, (3) desire for education, (4) usability/user-experience, and (5) risk of biomedical marker reductionism. CONCLUSIONS This review identified 5 key themes for consideration to understand usability of digital health initiatives. If these unmet psychosocial needs of adults with type 2 diabetes are better addressed in digital health initiatives, enhanced daily self-management will lead to more optimal diabetes management which can increase overall health outcomes, reduce the risk of longer-term complications, enhance quality of life for type 2 diabetes and improve more widespread adoption of digital health initiatives.
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Affiliation(s)
- Larissa Hall
- School of Health, University of New England, Armidale, New South Wales, Australia
| | - Md Shahidul Islam
- School of Health, University of New England, Armidale, New South Wales, Australia
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23
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Harte R, Norton L, Whitehouse C, Lorincz I, Jones D, Gerald N, Estrada I, Sabini C, Mitra N, Long JA, Cappella J, Glanz K, Volpp KG, Kangovi S. Design of a randomized controlled trial of digital health and community health worker support for diabetes management among low-income patients. Contemp Clin Trials Commun 2022; 25:100878. [PMID: 34977421 PMCID: PMC8688867 DOI: 10.1016/j.conctc.2021.100878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 09/14/2021] [Accepted: 12/04/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Insulin-dependent diabetes is a challenging disease to manage and involves complex behaviors, such as self-monitoring of blood glucose. This can be especially challenging in the face of socioeconomic barriers and in the wake of the COVID-19 pandemic. Digital health self-monitoring interventions and community health worker support are promising and complementary best practices for improving diabetes-related health behaviors and outcomes. Yet, these strategies have not been tested in combination. This protocol paper describes the rationale and design of a trial that measures the combined effect of digital health and community health worker support on glucose self-monitoring and glycosylated hemoglobin. METHODS The study population was uninsured or publicly insured; lived in high-poverty, urban neighborhoods; and had poorly controlled diabetes mellitus with insulin dependence. The study consisted of three arms: usual diabetes care; digital health self-monitoring; or combined digital health and community health worker support. The primary outcome was adherence to blood glucose self-monitoring. The exploratory outcome was change in glycosylated hemoglobin. CONCLUSION The design of this trial was grounded in social justice and community engagement. The study protocols were designed in collaboration with frontline community health workers, the study aim was explicit about furthering knowledge useful for advancing health equity, and the population was focused on low-income people. This trial will advance knowledge of whether combining digital health and community health worker interventions can improve glucose self-monitoring and diabetes-related outcomes in a high-risk population.
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Affiliation(s)
- Rory Harte
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Lindsey Norton
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Christina Whitehouse
- Villanova University M. Louise Fitzpatrick College of Nursing, Villanova, PA, USA
| | - Ilona Lorincz
- Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Denerale Jones
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Norma Gerald
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Irene Estrada
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Carolyn Sabini
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Nandita Mitra
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Judith A. Long
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Joseph Cappella
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - Karen Glanz
- Perelman School of Medicine and School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G. Volpp
- Penn Center for Health Incentives and Behavioral Economics, Departments of Medical Ethics and Health Policy and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shreya Kangovi
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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24
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Burda V, Mráz M, Schneider J, Novák D. Managing Diabetes Using Mobiab: Long Term Case Study of the Impact of a Mobile App on Self-Management (Preprint). JMIR Diabetes 2022; 7:e36675. [PMID: 35442201 PMCID: PMC9069284 DOI: 10.2196/36675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/20/2022] [Accepted: 03/17/2022] [Indexed: 11/26/2022] Open
Abstract
Background This paper describes the development of a mobile app for diabetes mellitus (DM) control and self-management and presents the results of long-term usage of this system in the Czech Republic. DM is a chronic disease affecting large numbers of people worldwide, and this number is continuously increasing. There is massive potential to increase adherence to self-management of DM with the use of smartphones and digital therapeutics interventions. Objective This study aims to describe the process of development of a mobile app, called Mobiab, for DM management and to investigate how individual features are used and how the whole system benefits its long-term users. Using at least 1 year of daily records from users, we analyzed the impact of the app on self-management of DM. Methods We have developed a mobile app that serves as an alternative form to the classic paper-based protocol or diary. The development was based on cooperation with both clinicians and people with DM. The app consists of independent individual modules. Therefore, the user has the possibility to use only selected features that they find useful. Mobiab was available free of charge on Google Play Store from mid-2014 until 2019. No targeted recruitment was performed to attract users. Results More than 500 users from the Czech Republic downloaded and signed up for the mobile app. Approximately 80% of the users used Mobiab for less than 1 week. The rest of the users used it for a longer time and 8 of the users produced data that were suitable for long-term analysis. Additionally, one of the 8 users provided their medical records, which were compared with the gathered data, and the improvements in their glucose levels and overall metabolic stability were consistent with the way in which the mobile app was used. Conclusions The results of this study showed that the usability of a DM-centered self-management smartphone mobile app and server-based systems could be satisfactory and promising. Nonetheless, some better ways of motivating people with diabetes toward participation in self-management are needed. Further studies involving a larger number of participants are warranted to assess the effect on long-term diabetes management.
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Affiliation(s)
- Václav Burda
- Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Miloš Mráz
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jakub Schneider
- Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Daniel Novák
- Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
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25
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Duan B, Liu Z, Liu W, Gou B. Views and needs of people who at high-risk of gestational diabetes mellitus for the development of mobile health applications: A descriptive qualitative research (Preprint). JMIR Form Res 2022; 6:e36392. [PMID: 35802414 PMCID: PMC9308070 DOI: 10.2196/36392] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/25/2022] [Accepted: 05/25/2022] [Indexed: 11/26/2022] Open
Abstract
Background Early prevention of gestational diabetes mellitus (GDM) can reduce the incidence of not only GDM, but also adverse perinatal pregnancy outcomes. Moreover, it is of great significance to prevent or reduce the occurrence of type 2 diabetes. Mobile health (mHealth) apps can help pregnant women effectively prevent GDM by providing risk prediction, lifestyle support, peer support, professional support, and other functions. Before designing mHealth apps, developers must understand the views and needs of pregnant women, and closely combine users’ needs to develop app functions, in order to better improve user experience and increase the usage rate of these apps in the future. Objective The objective of this study was to understand the views of the high-risk population of gestational diabetes mellitus on the development of mobile health apps and the demand for app functions, so as to provide a basis for the development of gestational diabetes mellitus prevention apps. Methods Fifteen pregnant women with at least one risk factor for gestational diabetes were recruited from July to September 2021, and were interviewed via a semistructured interview using the purpose sampling method. The transcribed data were analyzed by the traditional content analysis method, and themes were extracted. Results Respondents wanted to develop user-friendly and fully functional mobile apps for the prevention of gestational diabetes mellitus. Pregnant women's requirements for app function development include: personalized customization, accurate information support, interactive design, practical tool support, visual presentation, convenient professional support, peer support, reasonable reminder function, appropriate maternal and infant auxiliary function, and differentiated incentive function.These function settings can encourage pregnant women to improve or maintain healthy living habits during their use of the app Conclusions This study discusses the functional requirements of target users for gestational diabetes mellitus prevention apps, which can provide reference for the development of future applications.
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Affiliation(s)
- Beibei Duan
- School of Nursing, Capital Medical University, Beijing, China
| | - Zhe Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Weiwei Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Baohua Gou
- Beijing Youyi Hospital, Capital Medical University, Beijing, China
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26
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Nelson LA, Spieker AJ, Mayberry LS, McNaughton C, Greevy RA. Estimating the impact of engagement with digital health interventions on patient outcomes in randomized trials. J Am Med Inform Assoc 2021; 29:128-136. [PMID: 34963143 PMCID: PMC8714267 DOI: 10.1093/jamia/ocab254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/18/2021] [Accepted: 11/01/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Guidance is needed on studying engagement and treatment effects in digital health interventions, including levels required for benefit. We evaluated multiple analytic approaches for understanding the association between engagement and clinical outcomes. MATERIALS AND METHODS We defined engagement as intervention participants' response rate to interactive text messages, and considered moderation, standard regression, mediation, and a modified instrumental variable (IV) analysis to investigate the relationship between engagement and clinical outcomes. We applied each approach to two randomized controlled trials featuring text message content in the intervention: REACH (Rapid Encouragement/Education and Communications for Health), which targeted diabetes, and VERB (Vanderbilt Emergency Room Bundle), which targeted hypertension. RESULTS In REACH, the treatment effect on hemoglobin A1c was estimated to be -0.73% (95% CI: [-1.29, -0.21]; P = 0.008), and in VERB, the treatment effect on systolic blood pressure was estimated to be -10.1 mmHg (95% CI: [-17.7, -2.8]; P = 0.007). Only the IV analyses suggested an effect of engagement on outcomes; the difference in treatment effects between engagers and non-engagers was -0.29% to -0.51% in the REACH study and -1.08 to -3.25 mmHg in the VERB study. DISCUSSION Standard regression and mediation have less power than a modified IV analysis, but the IV approach requires specification of assumptions. This is the first review of the strengths and limitations of various approaches to evaluating the impact of engagement on outcomes. CONCLUSIONS Understanding the role of engagement in digital health interventions can help reveal when and how these interventions achieve desired outcomes.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Candace McNaughton
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Geriatric Research Education Clinical Center, Tennessee Valley Healthcare System VA Medical Center, Nashville, Tennessee, USA
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA
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27
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Chute C, French T, Raman S, Bradley J. User Requirements for Co-Managed Digital Health & Care (Preprint). J Med Internet Res 2021; 24:e35337. [PMID: 35687379 PMCID: PMC9233266 DOI: 10.2196/35337] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/02/2022] [Accepted: 05/08/2022] [Indexed: 11/20/2022] Open
Abstract
Background The sustainability of health and social care has led to an imperative to shift the balance of care to communities and support person-centered, integrated, preventive, comanaged, and sustainable care. The digital tool set can support this shift; however, it must extend beyond a clinical focus to include broader personal, social, and environmental needs, experiences, and outcomes. The existing digital health and care design and user requirements literature focuses mainly on specific digital products or design methods. There is little whole-system or whole-of-life consideration, which is crucial to enacting more significant transformations that span different groups and domains. Objective This study aimed to present a set of recurring user requirements and themes for comanaged digital health and care services derived from the body of co-design projects within a digital health and care program. This study aimed to enable people and organizations looking to reorient their approach to health and care research and delivery from a system-led and condition-specific approach to a more person-centric, whole-of-life model. Methods Participatory design formed the core methodological approach in underlying the design research, from which user requirements were derived. The process of surfacing requirements involved a selection framework for the identification of eligible projects and a structured review process to consolidate user requirements. Results This paper presents a set of 14 common user requirements that resulted from a review of co-design projects. The findings demonstrate overlapping and reinforcing sets of needs from citizens and care professionals related to how data are comanaged to improve care and outcomes. This paper discusses the alignment, contrasts, and gaps with broader, comparable literature. It highlights consensus around requirements for personal health storytelling, sharing data on care experiences and how this can support personalized guidance, visualize trends to support decision-making, and generally improve dialog between a citizen and care professionals. These findings identify gaps around how groups and networks of people engage, posing difficult questions for people designing support services as some of the user requirements are not easily met by organizations operating in silos. Conclusions This study proposes future recommendations for citizens as active, informed, and consenting partners using new forms of privacy-preserving digital infrastructure that puts the citizen in firm control. It is also recommended that these findings be used by people developing new digital services to ensure that they can start with knowledge of the broader user requirement context. This should inform domain-specific research and development questions and processes. Further work is needed to extend these common requirements to more explicitly consider the trust framework required when citizens comanage their data and care across a broad range of formal and informal actors. Consideration of how authority, delegation, and trust function between members of the public will be critical.
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Affiliation(s)
- Chaloner Chute
- The Digital Health & Care Innovation Centre, University of Strathclyde, Glasgow, United Kingdom
| | - Tara French
- The Glasgow School of Art, Forres, United Kingdom
| | - Sneha Raman
- The Glasgow School of Art, Forres, United Kingdom
| | - Jay Bradley
- The Glasgow School of Art, Forres, United Kingdom
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28
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Ryan JC, Barnes M, Cox DN. Identifying modifiable factors that could arrest progression to type 2 diabetes: A cluster analysis of Australian adults. Prev Med 2021; 153:106796. [PMID: 34509524 DOI: 10.1016/j.ypmed.2021.106796] [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] [Received: 02/02/2021] [Revised: 09/05/2021] [Accepted: 09/06/2021] [Indexed: 10/20/2022]
Abstract
Lifestyle-based disease prevention and self-management strategies play an important role in the mitigation of health, social, and economic burdens associated with type 2 diabetes mellitus (T2DM) and other chronic diseases. However, there are significant implementation and translational challenges associated with the design and delivery of effective interventions. In this study, data-driven techniques for the identification of optimal target audiences and intervention targets for T2DM prevention interventions were applied. Australian adults (N = 3159) with differing T2DM status (no diabetes diagnosis, pre-diabetes, or T2DM) completed self-report assessments of diet quality, physical activity, psychological distress, future orientation, health literacy, and socio-demographic characteristics. K-medoids cluster analysis was conducted to identify homogenous groups within the research sample and proportional odds ordinal logistic regressions conducted to identify signficant predictors of T2DM status within each cluster. Results identified a two-factor optimal solution that stratified participants based on sex (male/female). Within each cluster, psychosocial variables explained approximately 25% of the variance in T2DM status, with future orientation identified as a significant modifiable predictor of T2DM. For the male cluster, health literacy was also significant (p ≤0.01). Findings indicate that men and women should be targeted separately in T2DM prevention or management programs and that future interventional research targeting future orientation is warranted.
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Affiliation(s)
- Jillian C Ryan
- Precision Health Future Science Platform and Health & Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Gate 13 Kintore Avenue, Adelaide, South Australia 5000, Australia.
| | - Mary Barnes
- Flinders Centre for Epidemiology and Biostatistics, Flinders University, Sturt Rd, Bedford Park, South Australia 5042, Australia.
| | - David N Cox
- Precision Health Future Science Platform and Health & Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Gate 13 Kintore Avenue, Adelaide, South Australia 5000, Australia.
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29
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Al‐Hamdan R, Avery A, Al‐Disi D, Sabico S, Al‐Daghri NM, McCullough F. Efficacy of lifestyle intervention program for Arab women with prediabetes using social media as an alternative platform of delivery. J Diabetes Investig 2021; 12:1872-1880. [PMID: 33638248 PMCID: PMC8504913 DOI: 10.1111/jdi.13531] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 02/04/2021] [Accepted: 02/22/2021] [Indexed: 12/12/2022] Open
Abstract
AIMS/INTRODUCTION This 6-month interventional study aimed to investigate the effectiveness of different educational programs among Saudi women with prediabetes referred by primary care. MATERIALS AND METHODS A total of 253 (100 group education program [GEP], 84 WhatsApp education program [WEP] and 69 control group [CG]) eligible participants were invited to take part in the study, out of whom 120 received intervention (40 GEP, 43 WEP and 37 CG). GEP participants received focused, individualized lifestyle modification advice with bimonthly support sessions, WEP participants received the same intervention, but delivered through social media (WhatsApp). The CG received standard care. Anthropometrics, biochemical profiles and macronutrient intake were measured at baseline, and 3 and 6 months. The primary end-points were glycated hemoglobin and weight, with lipids and dietary changes as secondary outcomes. RESULTS Glycated hemoglobin significantly improved in all groups post-intervention (GEP baseline 6.0 ± 0.2 vs 6 months 5.5 ± 0.54; P < 0.001, WEP 6.0 ± 0.26 vs 5.3 ± 0.51; P < 0.001, CG 6.0 ± 0.37 vs 5.7 ± 0.49; P < 0.001), but with no difference in between-group comparisons (P = 0.33). Within-group comparisons showed a reduction in weight, but only in the GEP group (90.6 kg ± 27.3 vs 84.8 kg ± 24.3; P < 0.01), and this was significant in between-group comparison (P = 0.003). Significant between-group comparisons with respect to energy (g) intake (P = 0.005) were also observed, as well as triglycerides (P < 0.001) and low-density lipoprotein cholesterol (P = 0.001), all in favor of the GEP group. CONCLUSIONS Diabetes prevention programs, whether delivered through a focused educational group, social media or standard care, are equally efficacious in improving glycated hemoglobin levels among Saudi women with prediabetes, but a focused educational group was more effective in terms of successful weight loss.
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Affiliation(s)
- Rasha Al‐Hamdan
- Division of Nutritional SciencesSchool of BiosciencesUniversity of NottinghamNottinghamUK
- Department of Community Health SciencesCollege of Applied Medical SciencesKing Saud UniversityRiyadhSaudi Arabia
| | - Amanda Avery
- Division of Nutritional SciencesSchool of BiosciencesUniversity of NottinghamNottinghamUK
| | - Dara Al‐Disi
- Department of Community Health SciencesCollege of Applied Medical SciencesKing Saud UniversityRiyadhSaudi Arabia
| | - Shaun Sabico
- Chair for Biomarkers of Chronic DiseasesBiochemistry DepartmentCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia
| | - Nasser M Al‐Daghri
- Chair for Biomarkers of Chronic DiseasesBiochemistry DepartmentCollege of ScienceKing Saud UniversityRiyadhSaudi Arabia
| | - Fiona McCullough
- Division of Nutritional SciencesSchool of BiosciencesUniversity of NottinghamNottinghamUK
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Ryan JC, Wiggins B, Edney S, Brinkworth GD, Luscombe-March ND, Carson-Chahhoud KV, Taylor PJ, Haveman-Nies AA, Cox DN. Identifying critical features of type two diabetes prevention interventions: A Delphi study with key stakeholders. PLoS One 2021; 16:e0255625. [PMID: 34351966 PMCID: PMC8341510 DOI: 10.1371/journal.pone.0255625] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 07/20/2021] [Indexed: 11/18/2022] Open
Abstract
Aims This study aims to identify critically important features of digital type two diabetes mellitus (T2DM) prevention interventions. Methods A stakeholder mapping exercise was undertaken to identify key end-user and professional stakeholders, followed by a three-round Delphi procedure to generate and evaluate evidence statements related to the critical elements of digital T2DM prevention interventions in terms of product (intervention), price (funding models/financial cost), place (distribution/delivery channels), and promotion (target audiences). Results End-user (n = 38) and professional (n = 38) stakeholders including patients, dietitians, credentialed diabetes educators, nurses, medical doctors, research scientists, and exercise physiologists participated in the Delphi study. Fifty-two critical intervention characteristics were identified. Future interventions should address diet, physical activity, mental health (e.g. stress, diabetes-related distress), and functional health literacy, while advancing behaviour change support. Programs should be delivered digitally or used multiple delivery modes, target a range of population subgroups including children, and be based on collaborative efforts between national and local and government and non-government funded organisations. Conclusions Our findings highlight strong support for digital health to address T2DM in Australia and identify future directions for T2DM prevention interventions. The study also demonstrates the feasibility and value of stakeholder-led intervention development processes.
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Affiliation(s)
- Jillian C Ryan
- Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia.,Public Health and Wellbeing Research Group, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia
| | - Bonnie Wiggins
- Public Health and Wellbeing Research Group, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia
| | - Sarah Edney
- Physical Activity and Nutrition Determinants in Asia (PANDA), Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Grant D Brinkworth
- Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia
| | - Natalie D Luscombe-March
- Clinical Substantiation Group, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia
| | | | - Pennie J Taylor
- Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia.,Public Health and Wellbeing Research Group, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia
| | - Annemien A Haveman-Nies
- Chair group Consumption and Healthy Lifestyles, Wageningen University and Research, Wageningen, The Netherlands
| | - David N Cox
- Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia.,Public Health and Wellbeing Research Group, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia
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Kuo NY, Lin YH, Chen HM. Continuity of Care and Self-Management among Patients with Stroke: A Cross-Sectional Study. Healthcare (Basel) 2021; 9:989. [PMID: 34442126 PMCID: PMC8394814 DOI: 10.3390/healthcare9080989] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 07/31/2021] [Accepted: 08/02/2021] [Indexed: 11/17/2022] Open
Abstract
(1) Background: Stroke is an important topic in the healthcare industry. The objective of the present study was to investigate patients' sociodemographic characteristics, health status, continuity of care, self-management, and other predictors that affect their self-management. (2) Methods: This cross-sectional correlational study was carried out from March to September 2020, and included a total of 150 patients aged 20 and above who were diagnosed within the past 6 months. The research participants were selected from the Division of Neurology, Department of Internal Medicine/Department of Surgery, at a medical center in Central Taiwan. (3) Results: The mean self-management score of patients with stroke was 110.50 points (30-150 points). As shown in the stepwise regression analysis, the overall regression model explained approximately 44.5% of the variance in self-management. Educational level (10.8%), frequency of exercise per week (2.1%), time that patients were affected by stroke (2.4%), and continuity of care (29.2%) were the main predictors affecting the self-management of stroke patients. (4) Conclusions: To improve stroke patients' self-management, medical teams should provide appropriate continuity of care to those with lower educational levels, those without exercise habits, and those who experienced a stroke within the past six months.
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Affiliation(s)
- Nai-Yu Kuo
- Department of Nursing, Chung Shan Medical University, Taichung 40201, Taiwan;
- Department of Nursing, Changhua Christian Hospital, Changhua 500024, Taiwan
| | - Yu-Huei Lin
- Post-Baccalaureate Program in Nursing, Taipei Medical University, Taipei 11031, Taiwan;
- Department of Nursing, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
| | - Hsiao-Mei Chen
- Department of Nursing, Chung Shan Medical University, Taichung 40201, Taiwan;
- Department of Nursing, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
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Gelhorn H, Balantac Z, Shinde S, Thieu VT, Boye KS. The Burden of Type 2 Diabetes and the Value of Achieving Near Normoglycemia from the Patient Perspective. Diabetes Ther 2021; 12:1821-1837. [PMID: 34043162 PMCID: PMC8155797 DOI: 10.1007/s13300-021-01054-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/24/2021] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Type 2 diabetes (T2D) is extremely burdensome to people with T2D and associated with impaired health-related quality of life. This study explores the impact of T2D and potentially relevant outcomes for new therapies using a unique approach to in-depth qualitative interviews where people with T2D are asked to think about their future with T2D. METHODS A cross-sectional qualitative interview study among people with T2D from the USA and UK. Interviews explored their treatment journey, perceptions of their future with T2D, and the value of achieving normoglycemia (explored through presentation of two vignettes with hypothetical medications that reduced hemoglobin A1c [HbA1c] levels < 7% and < 5.7%). RESULTS Patients with T2D (N = 50; US n = 25; UK n = 25) were 66.0% male, had a mean body mass index (BMI) of 30.8 ± 6.3 kg/m2, and had a mean of 13.0 ± 10.0 years since diagnosis. Current diabetes treatments included diet and exercise only (8.0%), oral medications only (62.0%), oral plus injections (24.0%), and insulin only (6.0%). Despite being treated, participants reported over 25 different unmet needs related to their T2D across a broad range of domains. The most common concerns were diet, diabetes-related complications, weight changes, and psychological and emotional issues. A large majority of participants indicated that achieving lower HbA1c values would change their life. When reflecting on the value of improved glycemic control, patients primarily anticipated physical improvements and improved psychological well-being. When presented with two hypothetical treatments, about 70% of participants preferred the < 5.7% treatment option over the < 7% HbA1c treatment option. CONCLUSIONS People with T2D have a high disease burden, a broad range of unmet needs, and extremely varied experiences and expectations on the impacts of T2D on their lives and future. Many patients indicated that achieving near normoglycemia would substantially change their lives primarily in terms of their physical and emotional health.
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Affiliation(s)
- Heather Gelhorn
- Evidera Inc., 7101 Wisconsin Ave, Suite 1400, Bethesda, MD USA
| | - Zaneta Balantac
- Evidera Inc., 7101 Wisconsin Ave, Suite 1400, Bethesda, MD USA
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Educational Processes for Health and Disease Self-Management in Public Health: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126448. [PMID: 34203594 PMCID: PMC8296271 DOI: 10.3390/ijerph18126448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/10/2021] [Accepted: 06/11/2021] [Indexed: 11/16/2022]
Abstract
This study systematically reviewed processes and educational programs for self-management of health and diseases that are the subject of public health attention. This systematic review of the literature (SRL) is relevant to recognizing the characteristics of the educational processes in self-managing chronic diseases in contexts where technology did not play a significant role. Following the PRISMA protocol, the authors independently reviewed full-text articles from several databases using the following criteria: (1) intervention studies evaluating the effects of self-management health programs; (2) educational process of disease self-management; (3) studies that included at least one control group, and (4) peer-reviewed studies. In addition, the Scottish Intercollegiate Guideline Network measurement tool was used to assess the risk of bias in each trial. In the final sample, 38 articles were included. The findings regarding health education methods of self-care, using community-based care and technological tools, are considered fundamental. Among the conclusions, the relevance of the pedagogy that health education processes demand improvement in post-pandemic program effectiveness stands out.
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Jayasvasti I, Jayasvasti M, Pengpid S, Peltzer K, Nanthananate P. Participants' Views on Lifestyle Intervention Program Enhancing Long-Term Health-Related Behaviors Improvement among Prehypertension and/or Prediabetes Mellitus Older Adults: A Qualitative Study Examined in Thailand at Health Promoting Hospitals. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2021; 58:469580211025209. [PMID: 34121492 PMCID: PMC8207270 DOI: 10.1177/00469580211025209] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
This study aimed to investigate the view of prediabetes and prehypertension elderly patients living around temple on long-term self-management in proficient way underneath the lifestyle intervention program based on both focus-group discussion and In-depth interview methods to fill the gap in partially successful intervention. 62 participants were selected from 220 participants of the quantitative published study by 2 researchers. The triangulation method was used to put great emphasis on the consistency and the credibility of the results. Almost all of the participants had benefited from the program regarding proper foods, suitable exercise and an inspiration of lifestyle modification. They made changes of eating behavior and exercise behavior during program attendance, however, after the program had finished, they had minimal concern to take care of themselves. Nonetheless, more than half of them demonstrated some health-related behaviors changes due to they gave the value of the suggestion in different aspects. Moreover, high-frequency program attendance was not related to blood results improvement. The knowledge obtained from program intervention together with adequate contact between the patient and the program staff, personal problems solving, personal attitude, practice and acceptable played a key role for long-term lifestyle modification and completely successful intervention.
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Affiliation(s)
| | | | - Supa Pengpid
- ASEAN Institute for Health Development Mahidol University, Nakhon Pathom, Thailand.,Department of Research Development and Innovation, University of Limpopo, Polokwane, South Africa
| | - Karl Peltzer
- Department of Psychology, University of the Free State, Bloemfontein, South Africa.,Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan
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35
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What’s the Name of the Game? The Impact of eHealth on Productive Interactions in Chronic Care Management. SUSTAINABILITY 2021. [DOI: 10.3390/su13095221] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Chronic care management is dependent on productive interactions between patients and healthcare professionals. Digital health technologies (eHealth) open up new possibilities for improving the quality of care, but there is a limited understanding of what productive interactions entail. This study explores characteristics of productive interactions to support self-care and healthcare in the context of eHealth use in diabetes care. We collected qualitative data based on interviews with nurses and responses to open-ended survey questions from patients, prior to and post using an eHealth service for self-monitoring and digital communication. We found that eHealth’s influence on productive interactions was characterized by unconstrained access, health parameter surveillance, and data-driven feedback, with implications for self-care and healthcare. Our findings indicate that eHealth perforates the boundaries that define interactions under traditional, non-digital care. This was manifested in expressions of uncertainty and in blurred boundaries between self-care and healthcare. We conclude that the attainment of a sustainable eHealth ecosystem will require healthcare to acknowledge eHealth as a disruptive change that may require re-organization to optimally support the productive use of eHealth services for both patients and staff, which includes agreement on new routines, as well as social interaction rules.
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36
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Parsons JE, Newby KV, French DP, Bailey E, Inglis N. The development of a digital intervention to increase influenza vaccination amongst pregnant women. Digit Health 2021; 7:20552076211012128. [PMID: 33996140 PMCID: PMC8076770 DOI: 10.1177/20552076211012128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 03/29/2021] [Indexed: 11/16/2022] Open
Abstract
Objective Pregnant women and unborn babies are at increased risk of complications from influenza, including pneumonia, yet in the UK, uptake of flu vaccination amongst this population remains <50%. Pregnant women hold beliefs about risks of flu and efficacy of vaccination that consistently predict them to decline vaccination. This study aimed to develop a theory and evidence-based intervention addressing these beliefs to promote flu vaccine uptake. Methods The intervention was developed by behavioural scientists, pregnant women, midwives, clinicians and Public Health professionals, informed by Intervention Mapping. Six predefined steps were performed in line with Intervention Mapping. Results The intervention is an animation addressing beliefs about risks of flu and efficacy of vaccination. Preliminary testing using qualitative methodology indicates the information within the animation is appropriate, and the animation is acceptable to pregnant women. Conclusions This is the first known intervention for pregnant women, aiming to increase flu vaccination through addressing risk and efficacy appraisals. It has been implemented within seasonal flu vaccination campaigns during 2018/19 and 2019/20 within one geographically and ethnically diverse area of the UK.
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Affiliation(s)
- Joanne E Parsons
- Unit of Academic Primary Care, Warwick Medical School, University of Warwick, Coventry, UK
| | - Katie V Newby
- Department of Psychology and Sport Sciences, University of Hertfordshire, Hatfield, UK
| | - David P French
- Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK
| | - Elizabeth Bailey
- Elizabeth Bryan Multiple Births Centre, Faculty of Health, Education and Life Sciences, Birmingham City University, Birmingham, UK
| | - Nadia Inglis
- Warwickshire County Council Public Health, Warwick, UK.,Coventry City Council Public Health, Coventry, UK
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37
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Mellergård E, Johnsson P, Eek F. Developing a web-based support using self-affirmation to motivate lifestyle changes in type 2 diabetes: A qualitative study assessing patient perspectives on self-management and views on a digital lifestyle intervention. Internet Interv 2021; 24:100384. [PMID: 33912400 PMCID: PMC8056219 DOI: 10.1016/j.invent.2021.100384] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 01/31/2023] Open
Abstract
AIMS The aim of the present study was to explore patients' experiences of diabetes self-management and views on a digital lifestyle intervention using self-affirmation to motivate lifestyle changes. METHODS Semi-structured interviews focusing on needs, attitudes, and barriers to diabetes self-management were conducted with 22 individuals with type 2 diabetes recruited from the All New Diabetics in Scania (ANDIS) cohort. The interviews were followed by three additional study visits, where participants gave feedback on computer-based assignments based on self-affirmation. Interviews and feedback were qualitatively analyzed using thematic analysis. RESULTS Participants described a range of barriers to diabetes self-management, and a varying sense of urgency and distress related to diabetes management. A need for accessible, reliable, and relevant information was reported, as well as a sense that required lifestyle changes was incompatible with current life situation. Further, the use of self-affirmation was described as relevant, motivating and engaging. CONCLUSIONS Barriers to diabetes self-management need to be addressed when supporting diabetes self-management, e.g. through carefully matching the support to the patient's readiness to change, supporting patient autonomy and focusing on long-term changes. Using self-affirmation may raise acceptability of a digital lifestyle intervention and help connect diabetes self-management with overall life context, by guiding the patient to focus on personal relevance.
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Affiliation(s)
- Emelia Mellergård
- Department of Health Sciences, Faculty of Medicine, Lund University, Margaretavägen 1B, 222 40 Lund, Sweden,Corresponding author at: Department of Health Sciences, Lund University, Box 157, 22100 Lund, Sweden.
| | - Per Johnsson
- Department of Psychology, Faculty of Social Sciences, Lund University, Allhelgona kyrkogata 16a, 223 62 Lund, Sweden
| | - Frida Eek
- Department of Health Sciences, Faculty of Medicine, Lund University, Margaretavägen 1B, 222 40 Lund, Sweden
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Husdal R, Thors Adolfsson E, Leksell J, Nordgren L. Diabetes care provided by national standards can improve patients' self-management skills: A qualitative study of how people with type 2 diabetes perceive primary diabetes care. Health Expect 2021; 24:1000-1008. [PMID: 33774899 PMCID: PMC8235889 DOI: 10.1111/hex.13247] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/11/2021] [Accepted: 03/16/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The increasing incidence of type 2 diabetes mellitus [T2DM] has resulted in extensive research into the characteristics of successful primary diabetes care. Even if self-management support and continuity are increasingly recognized as important, there is still a need for deeper understanding of how patients' experiences of continuity of care coincide with their needs for self-management and/or self-management support. OBJECTIVE To gain a deeper understanding of how people with T2DM perceive Swedish primary diabetes care and self-management support. METHODS This qualitative study used focus groups as the means for data collection. Participants were identified through a purposive sampling method differing in age, sex, diabetes duration and latest registered glycated haemoglobin level. Twenty-eight participants formed five focus groups. Qualitative content analysis was applied to interview transcripts. RESULTS The main theme emerging from the focus group data was that diabetes care provided by national standards improved self-management skills. Two themes that emerged from the analysis were (a) the importance of a clarification of structures and procedures in primary diabetes care and (b) health-care staff 'being there' and providing support enables trust and co-operation to enhance self-management. CONCLUSIONS Individual patients' self-management resources are strengthened if the importance of providing relational continuity, management continuity and informational continuity is considered. Patients also need assistance on 'how' self-management activities should be performed. PATIENT CONTRIBUTION Prior to the study, one pilot focus group was conducted with patients to obtain their perspectives on the content of the planned focus groups; thus, patients were involved in both planning and conduct of the study.
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Affiliation(s)
- Rebecka Husdal
- Department of Public Health and Caring Sciences, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden
| | - Eva Thors Adolfsson
- Centre for Clinical Research Västmanland, Uppsala University, Västerås, Sweden
| | - Janeth Leksell
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, Uppsala, Sweden.,School of Education, Health and Social Studies, Dalarna University, Falun, Sweden
| | - Lena Nordgren
- Department of Public Health and Caring Sciences, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.,Centre for Clinical Research Sörmland, Uppsala University, Eskilstuna, Sweden
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Lee MK, Lee DY, Ahn HY, Park CY. A Novel User Utility Score for Diabetes Management Using Tailored Mobile Coaching: Secondary Analysis of a Randomized Controlled Trial. JMIR Mhealth Uhealth 2021; 9:e17573. [PMID: 33625363 PMCID: PMC7946585 DOI: 10.2196/17573] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 03/06/2020] [Accepted: 02/01/2021] [Indexed: 01/16/2023] Open
Abstract
Background Mobile health applications have been developed to support diabetes self-management, but their effectiveness could depend on patient engagement. Therefore, patient engagement must be examined through multifactorial tailored behavioral interventions from an individual perspective. Objective This study aims to evaluate the usefulness of a novel user utility score (UUS) as a tool to measure patient engagement by using a mobile health application for diabetes management. Methods We conducted a subanalysis of results from a 12-month randomized controlled trial of a tailored mobile coaching (TMC) system among insurance policyholders with type 2 diabetes. UUS was calculated as the sum of the scores for 4 major core components (range 0-8): frequency of self-monitoring blood glucose testing, dietary and exercise records, and message reading rate. We explored the association between UUS for the first 3 months and glycemic control over 12 months. In addition, we investigated the relationship of UUS with blood pressure, lipid profile, and self-report scales assessing diabetes self-management. Results We divided 72 participants into 2 groups based on UUS for the first 3 months: UUS:0-4 (n=38) and UUS:5-8 (n=34). There was a significant between-group difference in glycated hemoglobin test (HbA1c) levels for the 12-months study period (P=.011). The HbA1c decrement at 12 months in the UUS:5-8 group was greater than that of the UUS:0-4 group [–0.92 (SD 1.24%) vs –0.33 (SD 0.80%); P=.049]. After adjusting for confounding factors, UUS was significantly associated with changes in HbA1c at 3, 6, and 12 months; the regression coefficients were –0.113 (SD 0.040; P=.006), –0.143 (SD 0.045; P=.002), and –0.136 (SD 0.052; P=.011), respectively. Change differences in other health outcomes between the 2 groups were not observed throughout a 12-month follow-up. Conclusions UUS as a measure of patient engagement was associated with changes in HbA1c over the study period of the TMC system and could be used to predict improved glycemic control in diabetes self-management through mobile health interventions. Trial Registration ClinicalTrial.gov NCT03033407; https://clinicaltrials.gov/ct2/show/NCT03033407
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Affiliation(s)
- Min-Kyung Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Myongji Hospital, Hanyang University College of Medicine, Gyeonggi-do, Republic of Korea
| | - Da Young Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hong-Yup Ahn
- Department of Statistics, Dongguk University-Seoul, Seoul, Republic of Korea
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Islam SMS, George ES, Maddison R. Effectiveness of a mobile phone text messaging intervention on dietary behaviour in patients with type 2 diabetes: a post-hoc analysis of a randomised controlled trial. Mhealth 2021; 7:10. [PMID: 33634193 PMCID: PMC7882278 DOI: 10.21037/mhealth-2020-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 07/08/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Evidence suggests that mobile phone health (mHealth) programs may improve healthy behaviours and clinical outcomes in patients with type 2 diabetes mellitus (T2DM). However, data on mHealth dietary behaviour is scarce in low-and-middle-income countries. This study aims to determine the effectiveness of a text messaging program on dietary habits in patients with T2DM. METHODS We performed a post-hoc analysis of a randomised controlled trial of text messaging intervention in 236 patients with T2DM recruited from a tertiary hospital. Data were collected on socio-demographics, mobile phone use, family and medical history, self-reported diseases, medication use, health-seeking behaviour, diet and physical activity. Dietary behaviour was assessed using a modified version of WHO STEPS and the Indian Migration Study Food Frequency Questionnaire. Intervention participants received one message/day over six months focusing on lifestyle modification. Dietary intake of fruits, vegetables, sugar beverages and teaspoons of sugar in tea/coffee were determined in serves-per-week and were analysed using Chi-square tests. Poisson regression models, adjusted for age, sex and baseline values following an intention-to-treat approach were performed and expressed as an estimate of effect size. RESULTS At 6 months, the adjusted difference in vegetable consumption was -0.02 serves/week [95% confidence interval (CI): -0.11-0.06, P>0.05] and fruit intake was 0.02 serves/week (95% CI: -0.15-0.21, P>0.05). Consumption of sugar beverages reduced in both groups at 6 months with an adjusted difference of -0.34 serves/week (95% CI: -1.10-0.42, P>0.05). Teaspoons of sugar in tea reduced to 0.1±0.3 teaspoons/week in the control group, however, remained the same at 0.2±0.6 teaspoons/week in the intervention group with an adjusted difference of 0.94 teaspoons/week (95% CI: 0.04-1.84, P<0.05). CONCLUSIONS Our results suggest that a text messaging program did not significantly improve dietary behaviour in patients with T2DM. Further studies are warranted to explore the effectiveness of text messaging on dietary behaviour in adults with T2DM. TRIAL REGISTRATION German Clinical Trials Register DRKS00005188, http://www.drks.de.
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Affiliation(s)
- Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Elena S George
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Ralph Maddison
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
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Tighe SA, Ball K, Kensing F, Kayser L, Rawstorn JC, Maddison R. Toward a Digital Platform for the Self-Management of Noncommunicable Disease: Systematic Review of Platform-Like Interventions. J Med Internet Res 2020; 22:e16774. [PMID: 33112239 PMCID: PMC7657720 DOI: 10.2196/16774] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 05/25/2020] [Accepted: 09/14/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Digital interventions are effective for health behavior change, as they enable the self-management of chronic, noncommunicable diseases (NCDs). However, they often fail to facilitate the specific or current needs and preferences of the individual. A proposed alternative is a digital platform that hosts a suite of discrete, already existing digital health interventions. A platform architecture would allow users to explore a range of evidence-based solutions over time to optimize their self-management and health behavior change. OBJECTIVE This review aims to identify digital platform-like interventions and examine their potential for supporting self-management of NCDs and health behavior change. METHODS A literature search was conducted in January 2020 using EBSCOhost, PubMed, Scopus, and EMBASE. No digital platforms were identified, so criteria were broadened to include digital platform-like interventions. Eligible platform-like interventions offered a suite of discrete, evidence-based health behavior change features to optimize self-management of NCDs in an adult population and provided digitally supported guidance for the user toward the features best suited to their needs and preferences. Data collected on interventions were guided by the CONSORT-EHEALTH (Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online Telehealth) checklist, including evaluation data on effectiveness and process outcomes. The quality of the included literature was assessed using the Mixed Methods Appraisal Tool. RESULTS A total of 7 studies were included for review. Targeted NCDs included cardiovascular diseases (CVD; n=3), diabetes (n=3), and chronic obstructive pulmonary disease (n=1). The mean adherence (based on the number of follow-up responders) was 69% (SD 20%). Of the 7 studies, 4 with the highest adherence rates (80%) were also guided by behavior change theories and took an iterative, user-centered approach to development, optimizing intervention relevance. All 7 interventions presented algorithm-supported user guidance tools, including electronic decision support, smart features that interact with patterns of use, and behavior change stage-matching tools. Of the 7 studies, 6 assessed changes in behavior. Significant effects in moderate-to-vigorous physical activity were reported, but for no other specific health behaviors. However, positive behavior change was observed in studies that focused on comprehensive behavior change measures, such as self-care and self-management, each of which addresses several key lifestyle risk factors (eg, medication adherence). No significant difference was found for psychosocial outcomes (eg, quality of life). Significant changes in clinical outcomes were predominately related to disease-specific, multifaceted measures such as clinical disease control and cardiovascular risk score. CONCLUSIONS Iterative, user-centered development of digital platform structures could optimize user engagement with self-management support through existing, evidence-based digital interventions. Offering a palette of interventions with an appropriate degree of guidance has the potential to facilitate disease-specific health behavior change and effective self-management among a myriad of users, conditions, or stages of care.
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Affiliation(s)
- Sarah A Tighe
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kylie Ball
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| | - Finn Kensing
- Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Lars Kayser
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan C Rawstorn
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
| | - Ralph Maddison
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia
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Davies N, Iliffe S, Hopwood J, Walker N, Ross J, Rait G, Walters K. The key aspects of online support that older family carers of people with dementia want at the end of life: A qualitative study. Aging Ment Health 2020; 24:1654-1661. [PMID: 31353937 DOI: 10.1080/13607863.2019.1642299] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Objectives: Family carers towards the end of life face a range of difficult challenges and have high levels of support needs. The aim of this study was to explore the challenges carers of people with dementia face towards the end of life and the support needs which could be addressed by online support.Methods: Qualitative study using semi-structured interviews with 23 current and former family carers of people with dementia in England in 2016-2017. Interviews were analysed using thematic analysis methods.Results: Most carers interviewed had positive views of receiving support online via a website. Participants described a series of challenges they felt online support could address and help support them with when caring for someone with dementia towards the end of life: 1) feeling prepared and equipped; 2) feeling connected and supported; 3) balancing their own needs with those of the individual; and 4) maintaining control and being the co-ordinator of care. However many valued a mix of technology and human interaction in receiving support.Conclusions: This study has identified the key challenges for carers at the end of life that could be met by online support. Online support offers a source of support to supplement face-to-face contact, as many carers still wish to talk to someone in person. This could help alleviate pressures which health and social care systems currently face.
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Affiliation(s)
- Nathan Davies
- Centre for Ageing Population Studies, Research Department of Primary Care and Population Health, University College London, London, UK
| | - Steve Iliffe
- Centre for Ageing Population Studies, Research Department of Primary Care and Population Health, University College London, London, UK
| | - Jenny Hopwood
- Centre for Ageing Population Studies, Research Department of Primary Care and Population Health, University College London, London, UK
| | - Nina Walker
- Centre for Ageing Population Studies, Research Department of Primary Care and Population Health, University College London, London, UK
| | - Jamie Ross
- eHealth Unit, Research Department of Primary Care and Population Health, University College London, London, UK
| | - Greta Rait
- Priment Clinical Trials Unit, Research Department of Primary Care and Population Health, University College London, London, UK
| | - Kate Walters
- Centre for Ageing Population Studies, Research Department of Primary Care and Population Health, University College London, London, UK
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Zhang W, Cheng B, Zhu W, Huang X, Shen C. Effect of Telemedicine on Quality of Care in Patients with Coexisting Hypertension and Diabetes: A Systematic Review and Meta-Analysis. Telemed J E Health 2020; 27:603-614. [PMID: 32976084 DOI: 10.1089/tmj.2020.0122] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Background: With the development of technology and the need for individualized and continuous support for patients with chronic conditions, telemedicine has been widely used. Despite the potential benefits of telemedicine, little is known about its effect on the quality of care (QoC) in people with hypertension and comorbid diabetes, who face more challenges in disease management than those with hypertension or diabetes alone. This study aimed to examine the effect of telemedicine on QoC for patients with hypertension and comorbid diabetes by synthesizing findings from clinical trials. Methods: This systematic review and meta-analysis were developed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Four major electronic databases from inception to March 2020 were searched. Studies were screened using predetermined criteria. Data were extracted and tabulated into tables. The primary outcomes were QoC indicators, including outcomes (e.g., blood pressure [BP] and glycemic control), process, and experience of care. Quantitative data were pooled and presented in forest plots. Qualitative narratives were also used. Results: Five studies from four clinical trials were included in this review, with intervention durations ranging from 3 to 6 months. Telemedicine significantly decreased BP by 10.4/4.8 mm/Hg, but its effect on glycemic control was inconsistent. Telemedicine also improved experience of care (e.g., patient perception and engagement). Various indicators for process of care were assessed, including medication adherence, BP monitoring, and self-efficacy, with mixed findings. Conclusions: Telemedicine has great potential to improve the QoC, particularly outcomes of care, for patients with hypertension and comorbid diabetes. Health care professionals may consider using available telemedicine to facilitate communication and interaction with their patients, thereby helping them with disease management. Long-term, large-scale studies are needed to test the generalizability and sustainability of the telemedicine programs.
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Affiliation(s)
- Wenhang Zhang
- Department of Cardiology, The Second Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Bo Cheng
- Department of Cardiology, The Second Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Wei Zhu
- Department of Cardiology, The Second Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Xiaoxia Huang
- Department of Cardiology, The Second Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Changyin Shen
- Department of Cardiology, The Second Affiliated Hospital of Zunyi Medical University, Guizhou, China
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Alenazi HA, Jamal A, Batais MA. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR Mhealth Uhealth 2020; 8:e17083. [PMID: 32678798 PMCID: PMC7519429 DOI: 10.2196/17083] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 04/25/2020] [Accepted: 06/03/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Diabetes is a significant public health issue. Saudi Arabia has the highest prevalence of type 2 diabetes mellitus (T2DM) in the Arab world. Currently, it affects 31.6% of the general population, and the prevalence of T2DM is predicted to rise to 45.36% by 2030. Mobile health (mHealth) offers improved and cost-effective care to people with T2DM. However, the efficiency of engagement strategies and features of this technology need to be reviewed and standardized according to stakeholder and expert perspectives. OBJECTIVE The main objective of this study was to identify the most agreed-upon features for T2DM self-management mobile apps; the secondary objective was to identify the most agreed-upon strategies that prompt users to use these apps. METHODS In this study, a 4-round modified Delphi method was applied by experts in the domain of diabetes care. RESULTS In total, 11 experts with a mean age of 47.09 years (SD 11.70) consented to participate in the study. Overall, 36 app features were generated. The group of experts displayed weak agreement in their ranking of intervention components (Kendall W=0.275; P<.001). The top 5 features included insulin dose adjustment according to carbohydrate counting and blood glucose readings (5.36), alerting a caregiver of abnormal or critical readings (6.09), nutrition education (12.45), contacts for guidance if required (12.64), and offering patient-specific education tailored to the user's goals, needs, and blood glucose readings (12.90). In total, 21 engagement strategies were generated. Overall, the experts showed a moderate degree of consensus in their strategy rankings (Kendall W=0.454; P<.001). The top 5 engagement strategies included a user-friendly design (educational and age-appropriate design; 2.82), a free app (3.73), allowing the user to communicate or send information/data to a health care provider (HCP; 5.36), HCPs prescribing the mobile app in the clinic and asking about patients' app use compliance during clinical visits (6.91), and flexibility and customization (7.91). CONCLUSIONS This is the first study in the region consisting of a local panel of experts from the diabetes field gathering together. We used an iterative process to combine the experts' opinions into a group consensus. The results of this study could thus be useful for health app developers and HCPs and inform future decision making on the topic.
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Affiliation(s)
| | - Amr Jamal
- Family and Community Medicine Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.,Research Chair of Evidence-Based Healthcare and Knowledge Translation, King Saud University, Riyadh, Saudi Arabia
| | - Mohammed A Batais
- Family and Community Medicine Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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Dening J, Islam SMS, George E, Maddison R. Web-Based Interventions for Dietary Behavior in Adults With Type 2 Diabetes: Systematic Review of Randomized Controlled Trials. J Med Internet Res 2020; 22:e16437. [PMID: 32857059 PMCID: PMC7486668 DOI: 10.2196/16437] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 05/30/2020] [Accepted: 06/03/2020] [Indexed: 01/17/2023] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is among the most prevalent noncommunicable health conditions worldwide, affecting over 500 million people globally. Diet is a key aspect of T2DM management with dietary modification shown to elicit clinically meaningful outcomes such as improved glycemic control, and reductions in weight and cardiovascular disease risk factors. Web-based interventions provide a potentially convenient and accessible method for delivering dietary education, but its effects on dietary behavior in people with T2DM are unknown. Objective The objective of this review was to determine the effectiveness of web-based interventions on dietary behavior change and glycemic control in people with T2DM. Methods Per PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, systematic literature searches were performed using Medline, Embase, The Cochrane Library, and CINAHL to retrieve papers from January 2013 to May 2019. Randomized controlled trials of web-based interventions in adults with T2DM with reported dietary assessment were included. Population and intervention characteristics, dietary guidelines and assessments, and significant clinical outcomes were extracted. Differences between groups and within groups were assessed for dietary behavior and clinical outcomes. Results There were 714 records screened, and five studies comprising 1056 adults were included. Studies measured dietary changes by assessing overall diet quality, changes in specific dietary components, or dietary knowledge scores. Significant improvements in dietary behavior were reported in four out of the five studies, representing healthier food choices, improvements in eating habits, reductions in carbohydrates, added sugar, sodium, saturated fat and overall fat intake, and/or increases in dietary knowledge. Three studies found significant mean reductions for hemoglobin A1c ranging from –0.3% to –0.8%, and/or weight ranging from –2.3 kg to –12.7 kg, fasting blood glucose (–1 mmol/L), waist circumference (–1 cm), and triglycerides (–60.1 mg/dL). These studies provided varied dietary recommendations from standard dietary guidelines, national health program guidelines, and a very low carbohydrate ketogenic diet. Conclusions This review provided evidence that web-based interventions may be an effective way to support dietary behavior change in people with T2DM, potentially leading to changes in glycemic control and other clinical outcomes. However, the evidence should be viewed as preliminary as there were only five studies included with considerable heterogeneity in terms of the diets recommended, the dietary assessment measures used, the complexity of the interventions, and the modes and methods of delivery.
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Affiliation(s)
- Jedha Dening
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Elena George
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Ralph Maddison
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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Jain SR, Sui Y, Ng CH, Chen ZX, Goh LH, Shorey S. Patients’ and healthcare professionals’ perspectives towards technology-assisted diabetes self-management education. A qualitative systematic review. PLoS One 2020; 15:e0237647. [PMID: 32804989 PMCID: PMC7430746 DOI: 10.1371/journal.pone.0237647] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 07/30/2020] [Indexed: 12/12/2022] Open
Abstract
Introduction Diabetes self-management education is a key aspect in the long-term management of type 2 diabetes. The patient and healthcare professional (HCP) perspective on the use of technology-assisted DSME has yet to be studied. Hence, the objective of this study was to better understand the factors that facilitate or hinder the adoptions of such education by adults with type 2 diabetes and their HCPs. Methods We systematically searched five databases (Medline, Embase, CINAHL, Web of Science Core Collection, and PsycINFO) until August 2019. The search included qualitative and mixed-method studies that reported the views of patients and HCPs regarding features, uses, and implementations of technology-assisted DSME. Data were synthesized through an inductive thematic analysis. Results A total of 13 articles were included, involving 242 patients, ranging from 18 to 81 years and included web-based, mobile application, digital versatile disc (DVD), virtual reality or telehealth interventions. Patients and HCPs had mixed views towards features of the technology-assisted interventions, with patients’ personal qualities and HCPs’ concerns affecting uses of the interventions. Patients generally preferred technologies that were easy to access, use, and apply and that had reliable information. Patients’ ambitions motivated them, and personal attributes such as poor competence with technology, poor literacy, and language barriers acted as barriers. Patients especially liked the peer support that they received but did not like it when there was no regulation of advice on these platforms. HCPs believed that while the interventions were useful to patients, they faced difficulties with integration into their clinical workflows. Conclusion This review explored the features of technology-assisted diabetes self-management education interventions that enhanced positive patient engagements and the negative aspects of both the platforms and the target groups. Technical support and training will be effective in managing these concerns and ensuring meaningful use of these platforms.
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Affiliation(s)
- Sneha Rajiv Jain
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yuan Sui
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhi Xiong Chen
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Medical Education, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Lay Hoon Goh
- Division of Family Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- * E-mail:
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Bloem S, Stalpers J, Groenland EAG, van Montfort K, van Raaij WF, de Rooij K. Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables. BMC Health Serv Res 2020; 20:726. [PMID: 32771005 PMCID: PMC7414542 DOI: 10.1186/s12913-020-05560-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/20/2020] [Indexed: 11/10/2022] Open
Abstract
Background There is an observable, growing trend toward tailoring support programs – in addition to medical treatment – more closely to individuals to help improve patients’ health status. The segmentation model developed by Bloem & Stalpers [Nyenrode Research Papers Series 12:1–22, 2012] may serve as a solid basis for such an approach. The model is focused on individuals’ ‘health experience’ and is therefore a ‘cross-disease’ model. The model is based on the main psychological determinants of subjective health: acceptance and perceived control. The model identifies four segments of health-care consumers, based on high or low values on these determinants. The goal of the present study is twofold: the identification of criteria for differentiating between segments, and profiling of the segments in terms of socio-demographic and socio-economic variables. Methods The data (acceptance, perceived control, socio-economic, and socio-demographic variables) for this study were obtained by using an online survey (a questionnaire design), that was given (random sample N = 2500) to a large panel of Dutch citizens. The final sample consisted of 2465 participants – age distribution and education level distribution in the sample were similar to those in the Dutch population; there was an overrepresentation of females. To analyze the data factor analyses, reliability tests, descriptive statistics and t-tests were used. Results Cut-off scores, criteria to differentiate between the segments, were defined as the medians of the distributions of control and acceptance. Based on the outcomes, unique profiles have been formed for the four segments: 1. ‘Importance of self-management’ – relatively young, high social class, support programs: high-quality information. 2. ‘Importance of personal control’ – relatively old, living in rural areas, high in homeownership; supportive programs: developing personal control skills. 3. ‘Importance of acceptance’ – relatively young male; supportive programs: help by physicians and nurses. 4. ‘Importance of perspective and direction’ – female, low social class, receiving informal care; support programs: counseling and personal care. Conclusions The profiles describe four segments of individuals/patients that are clearly distinct from each other, each with its own description. The enriched descriptions provide a better basis for the allocation and developing of supportive programs and interventions across individuals.
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Affiliation(s)
- Sjaak Bloem
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands
| | - Joost Stalpers
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands
| | - Edward A G Groenland
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands
| | - Kees van Montfort
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands.,Department of Biostatistics, Erasmus Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands
| | - W Fred van Raaij
- Tilburg School of Social and Behavioral Sciences, Tilburg University, P.O. Box 90153, 5000, LE, Tilburg, The Netherlands
| | - Karla de Rooij
- Janssen-Cilag B.V, PO Box 4928, 4803, EX, Breda, The Netherlands.
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Tudor Car L, Dhinagaran DA, Kyaw BM, Kowatsch T, Joty S, Theng YL, Atun R. Conversational Agents in Health Care: Scoping Review and Conceptual Analysis. J Med Internet Res 2020; 22:e17158. [PMID: 32763886 PMCID: PMC7442948 DOI: 10.2196/17158] [Citation(s) in RCA: 144] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 04/11/2020] [Accepted: 06/13/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Conversational agents, also known as chatbots, are computer programs designed to simulate human text or verbal conversations. They are increasingly used in a range of fields, including health care. By enabling better accessibility, personalization, and efficiency, conversational agents have the potential to improve patient care. OBJECTIVE This study aimed to review the current applications, gaps, and challenges in the literature on conversational agents in health care and provide recommendations for their future research, design, and application. METHODS We performed a scoping review. A broad literature search was performed in MEDLINE (Medical Literature Analysis and Retrieval System Online; Ovid), EMBASE (Excerpta Medica database; Ovid), PubMed, Scopus, and Cochrane Central with the search terms "conversational agents," "conversational AI," "chatbots," and associated synonyms. We also searched the gray literature using sources such as the OCLC (Online Computer Library Center) WorldCat database and ResearchGate in April 2019. Reference lists of relevant articles were checked for further articles. Screening and data extraction were performed in parallel by 2 reviewers. The included evidence was analyzed narratively by employing the principles of thematic analysis. RESULTS The literature search yielded 47 study reports (45 articles and 2 ongoing clinical trials) that matched the inclusion criteria. The identified conversational agents were largely delivered via smartphone apps (n=23) and used free text only as the main input (n=19) and output (n=30) modality. Case studies describing chatbot development (n=18) were the most prevalent, and only 11 randomized controlled trials were identified. The 3 most commonly reported conversational agent applications in the literature were treatment and monitoring, health care service support, and patient education. CONCLUSIONS The literature on conversational agents in health care is largely descriptive and aimed at treatment and monitoring and health service support. It mostly reports on text-based, artificial intelligence-driven, and smartphone app-delivered conversational agents. There is an urgent need for a robust evaluation of diverse health care conversational agents' formats, focusing on their acceptability, safety, and effectiveness.
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Affiliation(s)
- Lorainne Tudor Car
- Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore
- Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Dhakshenya Ardhithy Dhinagaran
- Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore
| | - Bhone Myint Kyaw
- Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore
| | - Tobias Kowatsch
- Future Health Technologies programme, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore-ETH Centre, Singapore
- Center for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Center for Digital Health Interventions, Institute of Technology Management, University of St Gallen, St Gallen, Switzerland
| | - Shafiq Joty
- School of Computer Sciences and Engineering, Nanyang Technological University Singapore, Singapore
| | - Yin-Leng Theng
- Centre for Healthy and Sustainable Cities, Nanyang Technological University, Singapore
| | - Rifat Atun
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States
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Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. Acceptability of an Embodied Conversational Agent for Type 2 Diabetes Self-Management Education and Support via a Smartphone App: Mixed Methods Study. JMIR Mhealth Uhealth 2020; 8:e17038. [PMID: 32706734 PMCID: PMC7407258 DOI: 10.2196/17038] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 03/18/2020] [Accepted: 03/29/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Embodied conversational agents (ECAs) are increasingly used in health care apps; however, their acceptability in type 2 diabetes (T2D) self-management apps has not yet been investigated. OBJECTIVE This study aimed to evaluate the acceptability of the ECA (Laura) used to deliver diabetes self-management education and support in the My Diabetes Coach (MDC) app. METHODS A sequential mixed methods design was applied. Adults with T2D allocated to the intervention arm of the MDC trial used the MDC app over a period of 12 months. At 6 months, they completed questions assessing their interaction with, and attitudes toward, the ECA. In-depth qualitative interviews were conducted with a subsample of the participants from the intervention arm to explore their experiences of using the ECA. The interview questions included the participants' perceptions of Laura, including their initial impression of her (and how this changed over time), her personality, and human character. The quantitative and qualitative data were interpreted using integrated synthesis. RESULTS Of the 93 intervention participants, 44 (47%) were women; the mean (SD) age of the participants was 55 (SD 10) years and the baseline glycated hemoglobin A1c level was 7.3% (SD 1.5%). Overall, 66 of the 93 participants (71%) provided survey responses. Of these, most described Laura as being helpful (57/66, 86%), friendly (57/66, 86%), competent (56/66, 85%), trustworthy (48/66, 73%), and likable (40/66, 61%). Some described Laura as not real (18/66, 27%), boring (26/66, 39%), and annoying (20/66, 30%). Participants reported that interacting with Laura made them feel more motivated (29/66, 44%), comfortable (24/66, 36%), confident (14/66, 21%), happy (11/66, 17%), and hopeful (8/66, 12%). Furthermore, 20% (13/66) of the participants were frustrated by their interaction with Laura, and 17% (11/66) of the participants reported that interacting with Laura made them feel guilty. A total of 4 themes emerged from the qualitative data (N=19): (1) perceived role: a friendly coach rather than a health professional; (2) perceived support: emotional and motivational support; (3) embodiment preference acceptability of a human-like character; and (4) room for improvement: need for greater congruence between Laura's words and actions. CONCLUSIONS These findings suggest that an ECA is an acceptable means to deliver T2D self-management education and support. A human-like character providing ongoing, friendly, nonjudgmental, emotional, and motivational support is well received. Nevertheless, the ECA can be improved by increasing congruence between its verbal and nonverbal communication and accommodating user preferences. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry CTRN12614001229662; https://tinyurl.com/yxshn6pd.
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Affiliation(s)
- Shaira Baptista
- The University of Melbourne, Melbourne, Australia.,The Australian Centre for Behavioural Research in Diabetes, Melbourne, Australia
| | - Greg Wadley
- The University of Melbourne, Melbourne, Australia
| | | | | | - Jane Speight
- The University of Melbourne, Melbourne, Australia.,The Australian Centre for Behavioural Research in Diabetes, Melbourne, Australia
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- see Authors' Contributions,
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50
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Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study. JMIR Diabetes 2020; 5:e16692. [PMID: 32706649 PMCID: PMC7395244 DOI: 10.2196/16692] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 03/08/2020] [Accepted: 05/05/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Diabetes self-management apps have the potential to improve self-management in people with type 2 diabetes (T2D). Although efficacy trials provide evidence of health benefits, premature disengagement from apps is common. Therefore, it is important to understand the factors that influence engagement in real-world settings. OBJECTIVE This study aims to explore users' real-world experiences with the My Diabetes Coach (MDC) self-management app. METHODS We conducted telephone-based interviews with participants who had accessed the MDC self-management app via their smartphone for up to 12 months. Interviews focused on user characteristics; the context within which the app was used; barriers and facilitators of app use; and the design, content, and delivery of support within the app. RESULTS A total of 19 adults with T2D (8/19, 42% women; mean age 60, SD 14 years) were interviewed. Of the 19 interviewees, 8 (42%) had T2D for <5 years, 42% (n=8) had T2D for 5-10 years, and 16% (n=3) had T2D for >10 years. In total, 2 themes were constructed from interview data: (1) the moderating effect of diabetes self-management styles on needs, preferences, and expectations and (2) factors influencing users' engagement with the app: one size does not fit all. CONCLUSIONS User characteristics, the context of use, and features of the app interact and influence engagement. Promoting engagement is vital if diabetes self-management apps are to become a useful complement to clinical care in supporting optimal self-management. TRIAL REGISTRATION Australia New Zealand Clinical Trials Registry CTRN126140012296; URL https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366925&isReview=true.
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Affiliation(s)
- Shaira Baptista
- Melbourne School of Population and Global Health, Melbourne, Australia.,Australian Centre for Behavioural Research in Diabetes, Melbourne, Australia
| | - Greg Wadley
- School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia
| | - Dominique Bird
- Centre for Health Services Research, The University of Queensland, Brisbane, Australia
| | - Brian Oldenburg
- Melbourne School of Population and Global Health, Melbourne, Australia
| | - Jane Speight
- Melbourne School of Population and Global Health, Melbourne, Australia.,Australian Centre for Behavioural Research in Diabetes, Melbourne, Australia
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- See Authors' Contributions section,
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