1
|
de Miquel C, Haro JM, van der Feltz-Cornelis CM, Ortiz-Tallo A, Chen T, Sinokki M, Naumanen P, Olaya B, Lima RA. Differential attrition and engagement in randomized controlled trials of occupational mental health interventions in person and online: A systematic review and meta-analysis. Scand J Work Environ Health 2024; 50:588-601. [PMID: 39072699 PMCID: PMC11616721 DOI: 10.5271/sjweh.4173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Indexed: 07/30/2024] Open
Abstract
OBJECTIVE This study systematically reviewed and meta-analyzed the differential attrition and utilization of occupational mental health interventions, specifically examining delivery methods (internet-based versus in-person). METHODS The research, with papers spanning 2010-2024, involved filtering criteria and comprehensive searches across PubMed, Scopus, and Web of Science Core (PROSPERO registration n. CRD42022322394). Of 28 683 titles, 84 records were included in the systematic review, with 75 in meta-analyses. Risk of bias was assessed through the revised Cochrane risk of bias tool for randomized control trials and funnel plots. Differential attrition across studies was meta-analysed through a random-effects model with limited maximum-likelihood estimation for the degree of heterogeneity. RESULTS Findings reveal higher mean differential attrition in the intervention group, indicating a potential challenge in maintaining participant engagement. The attrition rates were not significantly influenced by the mode of intervention delivery (internet versus in-person). Compensation for participation and year of publication could potentially influence differential attrition from baseline to follow-up measurements. CONCLUSIONS These results suggest a need for cautious consideration of attrition in occupational mental health intervention study designs and emphasize the importance of adapting statistical analyses to mitigate potential bias arising from differential attrition.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Beatriz Olaya
- Carrer Doctor Antoni Pujadas 42, 08830 Sant Boi de Llobregat, Barcelona, Spain.
| | | |
Collapse
|
2
|
Raggi A, Bernard RM, Toppo C, Sabariego C, Salvador Carulla L, Lukersmith S, Hakkaart-van Roijen L, Merecz-Kot D, Olaya B, Antunes Lima R, Gutiérrez-Marín D, Vorstenbosch E, Curatoli C, Cacciatore M. The EMPOWER Occupational e-Mental Health Intervention Implementation Checklist to Foster e-Mental Health Interventions in the Workplace: Development Study. J Med Internet Res 2024; 26:e48504. [PMID: 38488846 PMCID: PMC10980995 DOI: 10.2196/48504] [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: 04/26/2023] [Revised: 11/29/2023] [Accepted: 12/21/2023] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND Occupational e-mental health (OeMH) interventions significantly reduce the burden of mental health conditions. The successful implementation of OeMH interventions is influenced by many implementation strategies, barriers, and facilitators across contexts, which, however, are not systematically tracked. One of the reasons is that international consensus on documenting and reporting the implementation of OeMH interventions is lacking. There is a need for practical guidance on the key factors influencing the implementation of interventions that organizations should consider. Stakeholder consultations secure a valuable source of information about these key strategies, barriers, and facilitators that are relevant to successful implementation of OeMH interventions. OBJECTIVE The objective of this study was to develop a brief checklist to guide the implementation of OeMH interventions. METHODS Based on the results of a recently published systematic review, we drafted a comprehensive checklist with a wide set of strategies, barriers, and facilitators that were identified as relevant for the implementation of OeMH interventions. We then used a 2-stage stakeholder consultation process to refine the draft checklist to a brief and practical checklist comprising key implementation factors. In the first stage, stakeholders evaluated the relevance and feasibility of items on the draft checklist using a web-based survey. The list of items comprised 12 facilitators presented as statements addressing "elements that positively affect implementation" and 17 barriers presented as statements addressing "concerns toward implementation." If a strategy was deemed relevant, respondents were asked to rate it using a 4-point Likert scale ranging from "very difficult to implement" to "very easy to implement." In the second stage, stakeholders were interviewed to elaborate on the most relevant barriers and facilitators shortlisted from the first stage. The interview mostly focused on the relevance and priority of strategies and factors affecting OeMH intervention implementation. In the interview, the stakeholders' responses to the open survey's questions were further explored. The final checklist included strategies ranked as relevant and feasible and the most relevant facilitators and barriers, which were endorsed during either the survey or the interviews. RESULTS In total, 26 stakeholders completed the web-based survey (response rate=24.8%) and 4 stakeholders participated in individual interviews. The OeMH intervention implementation checklist comprised 28 items, including 9 (32.1%) strategies, 8 (28.6%) barriers, and 11 (39.3%) facilitators. There was widespread agreement between findings from the survey and interviews, the most outstanding exception being the idea of proposing OeMH interventions as benefits for employees. CONCLUSIONS Through our 2-stage stakeholder consultation, we developed a brief checklist that provides organizations with a guide for the implementation of OeMH interventions. Future research should empirically validate the effectiveness and usefulness of the checklist.
Collapse
Affiliation(s)
- Alberto Raggi
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | | | - Claudia Toppo
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Carla Sabariego
- Swiss Paraplegic Research, Nottwil, Switzerland
- Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
- Center for Rehabilitation in Global Health Systems, University of Lucerne, Lucerne, Switzerland
| | - Luis Salvador Carulla
- Health Research Institute, University of Canberra, Canberra, Australia
- Healthcare Information Systems (CTS553), University of Cadiz, Cadiz, Spain
| | - Sue Lukersmith
- Health Research Institute, University of Canberra, Canberra, Australia
| | | | | | - Beatriz Olaya
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Rodrigo Antunes Lima
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Desirée Gutiérrez-Marín
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - Ellen Vorstenbosch
- Swiss Paraplegic Research, Nottwil, Switzerland
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Chiara Curatoli
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Martina Cacciatore
- Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| |
Collapse
|
3
|
van der Feltz-Cornelis CM, Shepherd J, Gevaert J, Van Aerden K, Vanroelen C, Cepa OB, Recio LG, Bernard RM, Vorstenbosch E, Cristóbal-Narváez P, Felez-Nobrega M, de Miquel C, Merecz-Kot D, Staszewska K, Sinokki M, Naumanen P, Roijen LHV, van Krugten F, de Mul M, Haro JM, Olaya B. Design and development of a digital intervention for workplace stress and mental health (EMPOWER). Internet Interv 2023; 34:100689. [PMID: 38054076 PMCID: PMC10694565 DOI: 10.1016/j.invent.2023.100689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/13/2023] [Accepted: 10/27/2023] [Indexed: 12/07/2023] Open
Abstract
Purpose We describe the design and development of the European Platform to Promote health and wellbeing in the workplace (EMPOWER) digital intervention that provides an integrative user programme meeting the needs of employees and employers in addressing work stress. Results A user-centred design process was followed from January 2020 until November 2021. A tailored algorithm was developed to provide support at the individual employee level and the company level. Each element of the digital intervention was developed in English and then translated in Spanish, English, Polish and Finnish. The digital intervention consists of a website and a mobile application (app) that provides algorithm-based personalised content after assessing a user's somatic and psychological symptoms, work functioning, and psychosocial risk factors for work stress. It has a public section and an employer portal that provides recommendations to reduce psychosocial risks in their company based upon clustered input from employees. Usability testing was conducted and showed high ease of use and completion of tasks by participants. Conclusion The EMPOWER digital intervention is a tailored multimodal intervention addressing wellbeing, work stress, mental and physical health problems, and work productivity. This will be used in a planned RCT in four countries to evaluate its effectiveness.
Collapse
Affiliation(s)
| | - Jessie Shepherd
- MHARG, Department of Health Sciences, Hull York Medical School, University of York, York, United Kingdom
| | - Jessie Gevaert
- Interface Demography, Vrije Universiteit Brussel, Brussels, Belgium
| | - Karen Van Aerden
- Interface Demography, Vrije Universiteit Brussel, Brussels, Belgium
| | | | | | | | | | - Ellen Vorstenbosch
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain
| | - Paula Cristóbal-Narváez
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain
| | - Mireia Felez-Nobrega
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain
| | - Carlota de Miquel
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain
| | | | | | - Marjo Sinokki
- Turku Centre for Occupational Health, University of Turku, Turku, Finland
| | - Päivi Naumanen
- Turku Centre for Occupational Health, University of Turku, Turku, Finland
| | - Leona Hakkaart-van Roijen
- Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Frédérique van Krugten
- Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Marleen de Mul
- Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Josep Maria Haro
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain
| | - Beatriz Olaya
- Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Sant Boi de Llobregat, Spain
| |
Collapse
|