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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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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
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Olaya B, Van der Feltz-Cornelis CM, Hakkaart-van Roijen L, Merecz-Kot D, Sinokki M, Naumanen P, Shepherd J, van Krugten F, de Mul M, Staszewska K, Vorstenbosch E, de Miquel C, Lima RA, Ayuso-Mateos JL, Salvador-Carulla L, Borrega O, Sabariego C, Bernard RM, Vanroelen C, Gevaert J, Van Aerden K, Raggi A, Seghezzi F, Haro JM. Study protocol of EMPOWER: A cluster randomized trial of a multimodal eHealth intervention for promoting mental health in the workplace following a stepped wedge trial design. Digit Health 2022; 8:20552076221131145. [PMID: 36276189 PMCID: PMC9583218 DOI: 10.1177/20552076221131145] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 09/12/2022] [Accepted: 09/20/2022] [Indexed: 11/05/2022] Open
Abstract
Objective: This article describes the EMPOWER study, a controlled trial aiming to determine the effectiveness and cost-effectiveness of an eHealth intervention to prevent common health problems and reduce presenteeism and absenteeism in the workplace. Intervention: The EMPOWER intervention spans universal, secondary and tertiary prevention and consists of an eHealth platform delivered via a website and a smartphone app designed to guide employees throughout different modules according to their specific profiles. Design: A stepped-wedge cluster randomized trial will be implemented in four countries (Finland, Poland, Spain and UK) with employees from small and medium enterprises (SMEs) and public agencies. Companies will be randomly allocated in one of three groups with different times at which the intervention is implemented. The intervention will last 7 weeks. Employees will answer several questionnaires at baseline, pre- and post-intervention and follow-up. Outcome measures: The main outcome is presenteeism. Secondary outcomes include depression, anxiety, insomnia, stress levels, wellbeing and absenteeism. Analyses will be conducted at the individual level using the intention-to-treat approach and mixed models. Additional analyses will evaluate the intervention effects according to gender, country or type of company. Cost-effectiveness and cost-utility analyses [based on the use of quality-adjusted life-years (QALYS)] will consider a societal, employers' and employees' perspective.
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Affiliation(s)
- 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,Beatriz Olaya, Research, Innovation and
Teaching Unit, Parc Sanitari Sant Joan de Déu, Carrer Doctor Pujadas 42, 08830
Sant Boi de Llobregat, Spain.
| | - Christina M. Van der Feltz-Cornelis
- MHARG, Department of Health Sciences, Hull York Medical School, University of York, York, UK,Institute of Health Informatics, University College London, London,
UK
| | - Leona Hakkaart-van Roijen
- Erasmus School of Health Policy and Management (ESHPM), Erasmus
University Rotterdam, Rotterdam, The Netherlands
| | | | - Marjo Sinokki
- Turku Centre for Occupational Health, University of Turku, Turku, Finland
| | - Päivi Naumanen
- Turku Centre for Occupational Health, University of Turku, Turku, Finland
| | - Jessie Shepherd
- MHARG, Department of Health Sciences, Hull York Medical School, University of York, York, UK
| | - 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
| | | | - Ellen Vorstenbosch
- 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
| | - Carlota de Miquel
- 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
| | - José Luis Ayuso-Mateos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM),
Madrid, Spain,Department of Psychiatry, Faculty of Medicine, Universidad Autónoma
de Madrid, Madrid, Spain
| | - Luis Salvador-Carulla
- Health Research Institute, Faculty of Health, University of Canberra, Canberra, Australia,National Centres for Epidemiology and Population Health, College of
Health and Medicine, Australian National University, Canberra, Australia
| | | | - Carla Sabariego
- Swiss Paraplegic Research
(SPF), Nottwil, Switzerland,Department of Health Sciences and Medicine, University of Lucerne,
Lucerne, Switzerland; Center for Rehabilitation in Global Health Systems, World
Health Organization Collaborating Center, University of Lucerne, Lucerne,
Switzerland
| | | | - Christophe Vanroelen
- Interface Demography, Department of Sociology, Vrije
Universiteit Brussel, Brussels, Belgium
| | - Jessie Gevaert
- Interface Demography, Department of Sociology, Vrije
Universiteit Brussel, Brussels, Belgium
| | - Karen Van Aerden
- Interface Demography, Department of Sociology, Vrije
Universiteit Brussel, Brussels, Belgium
| | - Alberto Raggi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, UO Neurologia
Salute Pubblica e Disabilità, Milano, Italy
| | | | | | - Josep Maria Haro
- 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
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Himmler S, Jonker M, van Krugten F, Hackert M, van Exel J, Brouwer W. Estimating an anchored utility tariff for the well-being of older people measure (WOOP) for the Netherlands. Soc Sci Med 2022; 301:114901. [PMID: 35325838 DOI: 10.1016/j.socscimed.2022.114901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/01/2022] [Accepted: 03/10/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Health economic evaluations using common health-related quality of life measures may fall short in adequately incorporating all relevant benefits of health and social care interventions targeted at older people. The Well-being of Older People measure (WOOP) is a broader well-being measure that comprises nine well-being domains. The objective of this study was to estimate a utility tariff for the WOOP, to facilitate its application in cost-utility analyses. METHODS A discrete choice experiment (DCE) with duration approach was set up and fielded among 2,012 individuals from the Netherlands aged 65 years and above. Matched pairwise choice tasks, colour-coding and level overlap were used to reduce the cognitive burden of the DCE. The choice tasks were created using a Bayesian heterogeneous D-efficient design. The estimation procedure accommodated for nonlinear time preferences via an exponential discounting function. RESULTS The estimation results showed that 'physical health', 'mental health', and 'making ends meet' were the most important well-being domains for older people, followed by 'independence' and 'living situation'. Of somewhat lesser importance were domains like 'social life', 'receiving support' and 'feeling useful'. The generated utility tariffs can be used to translate well-being states described with the WOOP to a utility score between -0.616 and 1. CONCLUSIONS This study established a tariff for the WOOP, which will facilitate its use in economic evaluations of health and social care interventions targeted at older people, first of all in the Netherlands.
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Affiliation(s)
- Sebastian Himmler
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam (ESHPM), Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, the Netherlands; Erasmus Choice Modelling Centre (ECMC), Erasmus University Rotterdam, Rotterdam, the Netherlands.
| | - Marcel Jonker
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam (ESHPM), Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, the Netherlands; Erasmus Choice Modelling Centre (ECMC), Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Frédérique van Krugten
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam (ESHPM), Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, the Netherlands; Erasmus Choice Modelling Centre (ECMC), Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Mariska Hackert
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam (ESHPM), Rotterdam, the Netherlands
| | - Job van Exel
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam (ESHPM), Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, the Netherlands; Erasmus Choice Modelling Centre (ECMC), Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Werner Brouwer
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam (ESHPM), Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, the Netherlands
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