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Junker M, Böhm M, Krcmar H. Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review. PLoS One 2024; 19:e0296212. [PMID: 38165989 PMCID: PMC10760718 DOI: 10.1371/journal.pone.0296212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 12/05/2023] [Indexed: 01/04/2024] Open
Abstract
Different interventions and methods are used for workplace health promotion (WHP) programmes, including mobile applications (apps), which have proven effective among different health outcomes if properly communicated and developed. However, knowledge is lacking on the potential advantages and disadvantages of using this technology for WHP compared with nontechnical WHP programmes to support employers in their decision making and effective development of such an intervention. To obtain an overview of factors that decision-makers should consider when deciding whether to implement an WHP app, we conducted a scoping review of studies that have evaluated WHP apps. Potential advantages and disadvantages of using mobile apps for WHP were summarised using a strengths, weaknesses, opportunities and threats (SWOT) analysis. Articles were included if they focussed on a WHP app, were published between 2007 and 2022 in German or English, and evaluated an app for the general employee population. Altogether, 38 studies were included in the review, demonstrating WHP apps' effectiveness among various use cases in terms of content, e.g., mindfulness or sleep, and target groups, e.g., office workers, nurses or pilots. Strengths were found in the context of adoption, convenience for users, the targeted employee group's reach and cost-effectiveness. However, the review also identified some disadvantages in apps, including technical difficulties and usage barriers, as well as challenges, e.g., privacy issues and maintenance costs. Generally, our review found that different factors need to be considered when deciding whether to implement a WHP app based on the individual company situation, e.g., shift work, content to be communicated, and expectations for health parameter screening, among many others. By summarising recent literature on WHP apps, this review uses scientific knowledge to give employers an overview of potential factors to consider in their decision making.
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Affiliation(s)
- Maren Junker
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Markus Böhm
- Department of Informatics, University of Applied Sciences Landshut, Landshut, Germany
| | - Helmut Krcmar
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
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Zheng S, Edney SM, Goh CH, Tai BC, Mair JL, Castro O, Salamanca-Sanabria A, Kowatsch T, van Dam RM, Müller-Riemenschneider F. Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis. EClinicalMedicine 2023; 66:102309. [PMID: 38053536 PMCID: PMC10694579 DOI: 10.1016/j.eclinm.2023.102309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/16/2023] [Accepted: 10/26/2023] [Indexed: 12/07/2023] Open
Abstract
Background Good physical and mental health are essential for healthy ageing. Holistic mobile health (mHealth) interventions-including at least three components: physical activity, diet, and mental health-could support both physical and mental health and be scaled to the population level. This review aims to describe the characteristics of holistic mHealth interventions and their effects on related behavioural and health outcomes among adults from the general population. Methods In this systematic review and meta-analysis, we searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, Scopus, China National Knowledge Infrastructure, and Google Scholar (first 200 records). The initial search covered January 1, 2011, to April 13, 2022, and an updated search extended from April 13, 2022 to August 30, 2023. Randomised controlled trials (RCTs) and non-randomised studies of interventions (NRSIs) were included if they (i) were delivered via mHealth technologies, (ii) included content on physical activity, diet, and mental health, and (iii) targeted adults (≥18 years old) from the general population or those at risk of non-communicable diseases (NCDs) or mental disorders. Studies were excluded if they targeted pregnant women (due to distinct physiological responses), individuals with pre-existing NCDs or mental disorders (to emphasise prevention), or primarily utilised web, email, or structured phone support (to focus on mobile technologies without exclusive human support). Data (summary data from published reports) extraction and risk-of-bias assessment were completed by two reviewers using a standard template and Cochrane risk-of-bias tools, respectively. Narrative syntheses were conducted for all studies, and random-effects models were used in the meta-analyses to estimate the pooled effect of interventions for outcomes with comparable data in the RCTs. The study was registered in PROSPERO, CRD42022315166. Findings After screening 5488 identified records, 34 studies (25 RCTs and 9 pre-post NRSIs) reported in 43 articles with 5691 participants (mean age 39 years, SD 12.5) were included. Most (91.2%, n = 31/34) were conducted in high-income countries. The median intervention duration was 3 months, and only 23.5% (n = 8/34) of studies reported follow-up data. Mobile applications, short-message services, and mobile device-compatible websites were the most common mHealth delivery modes; 47.1% (n = 16/34) studies used multiple mHealth delivery modes. Of 15 studies reporting on weight change, 9 showed significant reductions (6 targeted on individuals with overweight or obesity), and in 10 studies reporting perceived stress levels, 4 found significant reductions (all targeted on general adults). In the meta-analysis, holistic mHealth interventions were associated with significant weight loss (9 RCTs; mean difference -1.70 kg, 95% CI -2.45 to -0.95; I2 = 89.00%) and a significant reduction in perceived stress levels (6 RCTs; standardised mean difference [SMD] -0.32; 95% CI -0.52 to -0.12; I2 = 14.52%). There were no significant intervention effects on self-reported moderate-to-vigorous physical activity (5 RCTs; SMD 0.21; 95%CI -0.25 to 0.67; I2 = 74.28%) or diet quality scores (5 RCTs; SMD 0.21; 95%CI -0.47 to 0.65; I2 = 62.27%). All NRSIs were labelled as having a serious risk of bias overall; 56% (n = 14/25) of RCTs were classified as having some concerns, and the others as having a high risk of bias. Interpretation Findings from identified studies suggest that holistic mHealth interventions may aid reductions in weight and in perceived stress levels, with small to medium effect sizes. The observed effects on diet quality scores and self-reported moderate-to-vigorous physical activity were less clear and require more research. High-quality RCTs with longer follow-up durations are needed to provide more robust evidence. To promote population health, future research should focus on vulnerable populations and those in middle- and low-income countries. Optimal combinations of delivery modes and components to improve efficacy and sustain long-term effects should also be explored. Funding National Research Foundation, Prime Minister's Office, Singapore, under its Campus for Research Excellence and Technological Enterprise (CREATE) Programme and Physical Activity and Nutrition Determinants in Asia (PANDA) Research Programme.
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Affiliation(s)
- Shenglin Zheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Sarah Martine Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Chin Hao Goh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Bee Choo Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Jacqueline Louise Mair
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Oscar Castro
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Alicia Salamanca-Sanabria
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Tobias Kowatsch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
- Institute for Implementation Science in Health Care, University of Zürich, Zürich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology and Economics ETH Zürich, Zürich, Switzerland
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Departments of Exercise and Nutrition Sciences and Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
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Zheng S, Edney SM, Mair JL, Kowatsch T, Castro O, Salamanca-Sanabria A, Müller-Riemenschneider F. Holistic mHealth interventions for the promotion of healthy ageing: protocol for a systematic review. BMJ Open 2023; 13:e066662. [PMID: 37130675 PMCID: PMC10163532 DOI: 10.1136/bmjopen-2022-066662] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
INTRODUCTION Maintaining physical and mental health is essential for healthy ageing. It can be supported by modifying lifestyle factors such as physical activity and diet. Poor mental health, in turn, contributes to the opposing effect. The promotion of healthy ageing may therefore benefit from holistic interventions integrating physical activity, diet and mental health. These interventions can be scaled up to the population level by using mobile technologies. However, systematic evidence regarding the characteristics and effectiveness of such holistic mHealth interventions remains limited. This paper presents a protocol for a systematic review that aims to provide an overview of the current state of the evidence for holistic mHealth interventions, including their characteristics and effects on behavioural and health outcomes in general adult populations . METHODS AND ANALYSIS We will conduct a comprehensive search for randomised controlled trials and non-randomised studies of interventions published between January 2011 and April 2022 in MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, Scopus, China National Knowledge Infrastructure and Google Scholar (first 200 records). Eligible studies will be mHealth interventions targeting general adult populations with content on physical activity, diet and mental health. We will extract information on all relevant behavioural and health outcomes, as well as those related to intervention feasibility. Screening and data extraction processes will be carried out independently by two reviewers. Cochrane risk-of-bias tools will be used to assess risk of bias. We will provide a narrative overview of the findings from eligible studies. With sufficient data, a meta-analysis will be conducted. ETHICS AND DISSEMINATION Ethical approval is not required because this study is a systematic review based on published data. We intend to publish our findings in a peer-reviewed journal and present the study at international conferences. PROSPERO REGISTRATION NUMBER CRD42022315166.
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Affiliation(s)
- Shenglin Zheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Sarah Martine Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jacqueline Louise Mair
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Tobias Kowatsch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
- Institute for Implementation Science in Health Care, University of Zürich, Zürich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zürich, Zürich, Switzerland
| | - Oscar Castro
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Alicia Salamanca-Sanabria
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
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Armaou M, Araviaki E, Dutta S, Konstantinidis S, Blake H. Effectiveness of Digital Interventions for Deficit-Oriented and Asset-Oriented Psychological Outcomes in the Workplace: A Systematic Review and Narrative Synthesis. Eur J Investig Health Psychol Educ 2022; 12:1471-1497. [PMID: 36286087 PMCID: PMC9601105 DOI: 10.3390/ejihpe12100102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND Digital psychological interventions can target deficit-oriented and asset-oriented psychological outcomes in the workplace. This review examined: (a) the effectiveness of digital interventions for psychological well-being at work, (b) associations with workplace outcomes, and (c) associations between interventions' effectiveness and their theory-base. METHODS six electronic databases were searched for randomised controlled trials (RCT) and quasi-experimental studies. The methodological quality of studies that used randomisation was conducted with the "Cochrane Collaboration's Risk of Bias" tool, while the "JBI Critical Appraisal Checklist" was used for non-randomised studies. Studies' theory-base was evaluated using an adaptation of the "theory coding scheme" (TSC). Due to heterogeneity, narrative synthesis was performed. RESULTS 51 studies were included in a synthesis describing four clusters of digital interventions: (a) cognitive behavioural therapy, (b) stress-management interventions and workplace well-being promotion, (c) meditation training and mindfulness-based interventions, and (d) self-help interventions. Studies demonstrated a high risk of contamination effects and high attrition bias. Theory-informed interventions demonstrated greater effectiveness. Cognitive behavioural therapy demonstrated the most robust evidence for reducing depression symptoms among healthy employees. With the exception of the Headspace application, there was weak evidence for meditation training apps, while relaxation training was a key component of effective stress-management interventions.
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Affiliation(s)
- Maria Armaou
- School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK
| | | | - Snigdha Dutta
- Cambridge Centre for Teaching and Learning, University of Cambridge, Cambridge CB2 3PT, UK
| | | | - Holly Blake
- School of Health Sciences, University of Nottingham, Nottingham NG7 2HA, UK
- National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
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