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Beckie TM, Sengupta A, Dey AK, Dutta K, Ji M, Chellappan S. A Mobile Health Behavior Change Intervention for Women With Coronary Heart Disease: A RANDOMIZED CONTROLLED PILOT STUDY. J Cardiopulm Rehabil Prev 2024; 44:40-48. [PMID: 37285601 DOI: 10.1097/hcr.0000000000000804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
PURPOSE The aim of this study was to evaluate the effects of a mobile health (mHealth) intervention, HerBeat, compared with educational usual care (E-UC) for improving exercise capacity (EC) and other patient-reported outcomes at 3 mo among women with coronary heart disease. METHODS Women were randomized to the HerBeat group (n = 23), a behavior change mHealth intervention with a smartphone, smartwatch, and health coach or to the E-UC group (n = 24) who received a standardized cardiac rehabilitation workbook. The primary endpoint was EC measured with the 6-min walk test (6MWT). Secondary outcomes included cardiovascular disease risk factors and psychosocial well-being. RESULTS A total of 47 women (age 61.2 ± 9.1 yr) underwent randomization. The HerBeat group significantly improved on the 6MWT from baseline to 3 mo ( P = .016, d = .558) while the E-UC group did not ( P = .894, d =-0.030). The between-group difference of 38 m at 3 mo was not statistically significant. From baseline to 3 mo, the HerBeat group improved in anxiety ( P = .021), eating habits confidence ( P = .028), self-efficacy for managing chronic disease ( P = .001), diastolic blood pressure ( P = .03), general health perceptions ( P = .047), perceived bodily pain ( P = .02), and waist circumference ( P = .008) while the E-UC group showed no improvement on any outcomes. CONCLUSIONS The mHealth intervention led to improvements in EC and several secondary outcomes from baseline to 3 mo while the E-UC intervention did not. A larger study is required to detect small differences between groups. The implementation and outcomes evaluation of the HerBeat intervention was feasible and acceptable with minimal attrition.
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Affiliation(s)
- Theresa M Beckie
- College of Nursing, University of South Florida, Tampa, the United States (Drs Beckie and Ji); Business School, University of Queensland, Brisbane, Australia (Dr Sengupta); College of Engineering, University of South Florida, Tampa, the United States (Drs Dey and Chellappan); and College of Business, University of South Florida, Tampa, the United States (Dr Dutta)
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De Santis KK, Matthias K. Different Approaches to Appraising Systematic Reviews of Digital Interventions for Physical Activity Promotion Using AMSTAR 2 Tool: Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4689. [PMID: 36981598 PMCID: PMC10048476 DOI: 10.3390/ijerph20064689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/03/2023] [Accepted: 03/05/2023] [Indexed: 06/18/2023]
Abstract
High-quality systematic reviews (SRs) can strengthen the evidence base for prevention and health promotion. A 16-item AMSTAR 2 tool allows the appraisal of SRs by deriving a confidence rating in their results. In this cross-sectional study, we aimed to assess and compare two approaches to appraising 30 SRs of digital interventions for physical activity (PA) promotion using AMSTAR 2. Approach 1 (appraisals with 2/16 items) was used to identify SRs with critically low confidence ratings. Approach 2 (appraisals with all 16 items) was used (1) to derive the confidence ratings, (2) to identify SR strengths and weaknesses, and (3) to compare SR strengths among subgroups of SRs. The appraisal outcomes were summarized and compared using descriptive statistics. Approach 1 was quick (mean of 5 min/SR) at identifying SRs with critically low confidence ratings. Approach 2 was slower (mean of 20 min/SR), but allowed to identify SR strengths and weaknesses. Approach 2 showed that confidence ratings were low to critically low in 29/30 SRs. More strengths were identified in SRs with review protocols relative to SRs without review protocols and in newer SRs (published after AMSTAR 2 release) relative to older SRs. Only two items on AMSTAR 2 can quickly identify SRs with critical weaknesses. Although most SRs received low to critically low confidence ratings, SRs with review protocols and newer SRs tended to have more strengths. Future SRs require review protocols and better adherence to reporting guidelines to improve the confidence in their results.
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Affiliation(s)
- Karina Karolina De Santis
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany
- Leibniz Science Campus Digital Public Health Bremen, 28359 Bremen, Germany
| | - Katja Matthias
- Faculty of Electrical Engineering and Computer Science, University of Applied Science Stralsund, 18435 Stralsund, Germany
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Rao CR, Chandrasekaran B, Ravishankar N, Rutebemberwa E, Okello D. Physical activity interventions for glycaemic control in African adults - A systematic review and meta-analysis. Diabetes Metab Syndr 2022; 16:102663. [PMID: 36459907 DOI: 10.1016/j.dsx.2022.102663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 11/03/2022] [Accepted: 11/05/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIM Growing evidence indicates that increasing physical activity may aid in regulating altered glycaemic control, thereby mitigating the risk of diabetes. However, the evidence summarising the efficacy of physical activity on glycaemic control among African adults remains unconsolidated. Our objective was to provide an amalgamated summary of the empirical evidence that explored the effectiveness of physical activity interventions on glycaemic control among African adults. METHODS A systematic search of six journal databases for the studies exploring the efficacy of physical activity on glycaemic control among African adults until March 21, 2022, was administered. Two independent reviewers screened the citations based on a priori set eligibility criteria. Data were analysed using inverse variance method and a summary of findings was synthesised using the Grading of Recommendations, Assessment, Development and Evaluations approach. RESULTS Of the 14,624 citations retrieved, 26 articles with 1474 participants were included for final analysis. Most of the included trials had a high risk of bias (N = 20; 76.92%). Our review found a significant reduction in fasting blood glucose (FBG, -2.18 [ 95% CI -3.18, -1.18] mmol/L), insulin (-0.99 [-2.71, 0.74] μU/L), Glycosylated haemoglobin (HbA1C) (-0.53% [-0.88, -0.19]), Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (-0.74% [-1.10, -0.38]) and insulin sensitivity (-0.90 μU/l/min [-1.75, -0.06]) following physical activity interventions. The review reports low certainty of evidence across all outcome measures. DISCUSSION AND CONCLUSION Physical activity interventions were found to improve glycaemic control among African adults. However, the optimal physical activity dose for demonstrating meaningful benefits on glucose tolerance still remains unclear due to the limited number of primary studies available.
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Affiliation(s)
- Chythra R Rao
- Department of Community Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
| | - Baskaran Chandrasekaran
- Department of Exercise and Sports Sciences, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India.
| | - N Ravishankar
- Department of Biostatistics, Vallabhbhai Patel Chest Institute, University of New Delhi, Delhi, India.
| | - Elizeus Rutebemberwa
- Department of Health Policy, Planning and Management, School of Public Health, Makerere University, Kampala, Uganda.
| | - David Okello
- African Centre for Global Health and Social Transformation (ACHEST), Kampala, Uganda.
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Matthias K, Honekamp I, De Santis KK. The Influence of Sex, Gender, or Age on Outcomes of Digital Technologies for Treatment and Monitoring of Chronic Obstructive Pulmonary Disease: Protocol for an Overview of Systematic Reviews. JMIR Res Protoc 2022; 11:e40538. [PMID: 36222803 PMCID: PMC9607912 DOI: 10.2196/40538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 08/11/2022] [Accepted: 09/21/2022] [Indexed: 11/22/2022] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is a common chronic disease that can be treated and monitored with various digital technologies. Digital technologies offer unique opportunities for treating and monitoring people with chronic diseases, but little is known about whether the outcomes of such technologies depend on sex, gender, or age in people with COPD. Objective The general objective of this study is to assess the possible influence of sex, gender, or age on outcomes of digital technologies for treatment and monitoring of COPD through an overview of systematic reviews. Methods The study is planned as an overview of systematic reviews. Study reporting is based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) 2020 guidelines because guidelines for overviews are not available as of this writing. The information sources for the overview will include 4 bibliographic databases (MEDLINE, Cochrane Library, Epistemonikos, and Web of Science) as well as the bibliographies of the included systematic reviews. The electronic search strategy will be developed and conducted in collaboration with an experienced database specialist. The search results will be presented in accordance with the PRISMA 2020 guidelines. The eligibility of studies is based on the population, intervention, comparison, outcomes, and study design (PICOS) criteria: (1) people with COPD (population), (2) digital technology intervention for treatment or monitoring (intervention), (3) any control group or no control group (comparison), (4) any outcome, and (5) systematic review of randomized controlled trials or non–randomized controlled trials with or without a meta-analysis (study design). Critical appraisal of the included systematic reviews will be performed using A Measurement Tool to Assess Systematic Reviews, version 2 (AMSTAR 2). Data will be extracted using a standardized data extraction sheet. Results The literature search is scheduled for June 2022. We expect to select the relevant systematic reviews, code the data, and appraise the systematic reviews by December 2022. Conclusions There is a growing recognition that the influence of sex, gender, or age should be considered in research design and outcome reporting in the context of health care interventions. Our overview will identify systematic reviews of various digital technologies for treatment or monitoring of COPD. The most interesting aspect of the overview will be to investigate if any systematic reviews considered the influence of sex, gender, or age on the outcomes of such digital technologies in COPD. Evidence from the overview could be used to guide more individualized (sex, gender, or age-based) recommendations for the use of digital technologies among people with COPD. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42022322924; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=322924
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Affiliation(s)
- Katja Matthias
- Faculty of Electrical Engineering and Computer Science, University of Applied Science Stralsund, Stralsund, Germany
| | - Ivonne Honekamp
- Faculty of Business and Economics, University of Applied Science Stralsund, Stralsund, Germany
| | - Karina Karolina De Santis
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS GmbH, Bremen, Germany
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De Santis KK, Mergenthal L, Christianson L, Zeeb H. Digital Technologies for Health Promotion and Disease Prevention in Older People: Protocol for a Scoping Review. JMIR Res Protoc 2022; 11:e37729. [PMID: 35862187 PMCID: PMC9353678 DOI: 10.2196/37729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 06/15/2022] [Accepted: 07/10/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Digital technologies could contribute to health promotion and disease prevention. It is unclear if and how such digital technologies address the health needs of older people in nonclinical settings (ie, daily life). OBJECTIVE This study aims to identify digital technologies for health promotion and disease prevention that target the needs of older people in nonclinical settings by performing a scoping review of the published literature. The scoping review is guided by the framework of Arksey and O'Malley. METHODS Our scoping review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The information sources are bibliographic databases (MEDLINE, PsycINFO, CINAHL, and SCOPUS) and bibliographies of any included systematic reviews. Manual searches for additional studies will be performed in Google Scholar and most relevant journals. The electronic search strategy was developed in collaboration with a librarian who performed the search for studies on digital technologies for health promotion and disease prevention targeting the needs of older people. Study selection and data coding will be performed independently by 2 authors. Consensus will be reached by discussion. Eligibility is based on the PCC (Population, Concept, and Context) criteria as follows: (1) older people (population); (2) any digital (health) technology, such as websites, smartphone apps, or wearables (concept); and (3) health promotion and disease prevention in nonclinical (daily life, home, or community) settings (context). Primary studies with any design or reviews with a systematic methodology published in peer-reviewed academic journals will be included. Data items will address study designs, PCC criteria, benefits or barriers related to digital technology use by older people, and evidence gaps. Data will be synthesized using descriptive statistics or narratively described by identifying common themes. Quality appraisal will be performed for any included systematic reviews, using a validated instrument for this study type (A Measurement Tool to Assess Systematic Reviews, version 2 [AMSTAR2]). RESULTS Following preliminary literature searches to test and calibrate the search syntax, the electronic literature search was performed in March 2022 and manual searches were completed in June 2022. Study selection based on titles and abstracts was completed in July 2022, and the full-text screen was initiated in July 2022. CONCLUSIONS Our scoping review will identify the types of digital technologies, health targets in the context of health promotion and disease prevention, and health benefits or barriers associated with the use of such technologies for older people in nonclinical settings. This knowledge could guide further research on how digital technologies can support healthy aging. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/37729.
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Affiliation(s)
- Karina Karolina De Santis
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.,Leibniz-Science Campus Digital Public Health Bremen, Bremen, Germany
| | - Lea Mergenthal
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Lara Christianson
- Department of Administration, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.,Leibniz-Science Campus Digital Public Health Bremen, Bremen, Germany.,Faculty 11 Human and Health Sciences, University of Bremen, Bremen, Germany
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De Santis KK, Jahnel T, Matthias K, Mergenthal L, Al Khayyal H, Zeeb H. Evaluation of Digital Interventions for Physical Activity Promotion: Scoping Review. JMIR Public Health Surveill 2022; 8:e37820. [PMID: 35604757 PMCID: PMC9171604 DOI: 10.2196/37820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/06/2022] [Accepted: 04/09/2022] [Indexed: 02/06/2023] Open
Abstract
Background Digital interventions are interventions supported by digital tools or technologies, such as mobile apps, wearables, or web-based software. Digital interventions in the context of public health are specifically designed to promote and improve health. Recent reviews have shown that many digital interventions target physical activity promotion; however, it is unclear how such digital interventions are evaluated. Objective We aimed to investigate evaluation strategies in the context of digital interventions for physical activity promotion using a scoping review of published reviews. We focused on the target (ie, user outcomes or tool performance), methods (ie, tool data or self-reported data), and theoretical frameworks of the evaluation strategies. Methods A protocol for this study was preregistered and published. From among 300 reviews published up to March 19, 2021 in Medline, PsycINFO, and CINAHL databases, 40 reviews (1 rapid, 9 scoping, and 30 systematic) were included in this scoping review. Two authors independently performed study selection and data coding. Consensus was reached by discussion. If applicable, data were coded quantitatively into predefined categories or qualitatively using definitions or author statements from the included reviews. Data were analyzed using either descriptive statistics, for quantitative data (relative frequencies out of all studies), or narrative synthesis focusing on common themes, for qualitative data. Results Most reviews that were included in our scoping review were published in the period from 2019 to 2021 and originated from Europe or Australia. Most primary studies cited in the reviews included adult populations in clinical or nonclinical settings, and focused on mobile apps or wearables for physical activity promotion. The evaluation target was a user outcome (efficacy, acceptability, usability, feasibility, or engagement) in 38 of the 40 reviews or tool performance in 24 of the 40 reviews. Evaluation methods relied upon objective tool data (in 35/40 reviews) or other data from self-reports or assessments (in 28/40 reviews). Evaluation frameworks based on behavior change theory, including goal setting, self-monitoring, feedback on behavior, and educational or motivational content, were mentioned in 22 out of 40 reviews. Behavior change theory was included in the development phases of digital interventions according to the findings of 20 out of 22 reviews. Conclusions The evaluation of digital interventions is a high priority according to the reviews included in this scoping review. Evaluations of digital interventions, including mobile apps or wearables for physical activity promotion, typically target user outcomes and rely upon objective tool data. Behavior change theory may provide useful guidance not only for development of digital interventions but also for the evaluation of user outcomes in the context of physical activity promotion. Future research should investigate factors that could improve the efficacy of digital interventions and the standardization of terminology and reporting in this field. International Registered Report Identifier (IRRID) RR2-10.2196/35332
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Affiliation(s)
- Karina Karolina De Santis
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology- BIPS, Bremen, Germany.,Leibniz-Science Campus Digital Public Health Bremen, Bremen, Germany
| | - Tina Jahnel
- Leibniz-Science Campus Digital Public Health Bremen, Bremen, Germany.,Faculty 11 Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Katja Matthias
- Faculty of Electrical Engineering and Computer Science, University of Applied Science Stralsund, Stralsund, Germany
| | - Lea Mergenthal
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology- BIPS, Bremen, Germany
| | - Hatem Al Khayyal
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology- BIPS, Bremen, Germany.,Leibniz-Science Campus Digital Public Health Bremen, Bremen, Germany.,Faculty of Engineering and Mathematics, Bielefeld University of Applied Science, Bielefeld, Germany
| | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology- BIPS, Bremen, Germany.,Leibniz-Science Campus Digital Public Health Bremen, Bremen, Germany.,Faculty 11 Human and Health Sciences, University of Bremen, Bremen, Germany
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