Dataset Information

Return-to-work intervention versus usual care for sick-listed employees: health-economic investment appraisal alongside a cluster randomised trial.

ABSTRACT: OBJECTIVE:To evaluate the health-economic costs and benefits of a guided eHealth intervention (E-health module embedded in Collaborative Occupational healthcare (ECO)) encouraging sick-listed employees to a faster return to work. DESIGN:A two-armed cluster randomised trial with occupational physicians (OPs) (n=62), clustered and randomised by region into an experimental and a control group, to conduct a health-economic investment appraisal. Online self-reported data were collected from employees at baseline, after 3, 6, 9 and 12 months. SETTING:Occupational health care in the Netherlands. PARTICIPANTS:Employees from small-sized and medium-sized companies (?18 years), sick-listed between 4 and 26 weeks with (symptoms of) common mental disorders visiting their OP. INTERVENTIONS:In the intervention group, employees (N=131) received an eHealth module aimed at changing cognitions regarding return to work, while OPs were supported by a decision aid for treatment and referral options. Employees in the control condition (N=89) received usual sickness guidance. OUTCOMES MEASURES:Net benefits and return on investment based on absenteeism, presenteeism, health care use and quality-adjusted life years (QALYs) gained. RESULTS:From the employer's perspective, the incremental net benefits were €3187 per employee over a single year, representing a return of investment of €11 per invested Euro, with a break-even point at 6 months. The economic case was also favourable from the employee's perspective, partly because of QALY health gains. The intervention was costing €234 per employee from a health service financier's perspective. The incremental net benefits from a social perspective were €4210. This amount dropped to €3559 in the sensitivity analysis trimming the 5% highest costs. CONCLUSIONS:The data suggest that the ECO intervention offers good value for money for virtually all stakeholders involved, because initial investments were more than recouped within a single year. The sometimes wide 95% CIs suggest that the costs and benefits are not always very precise estimates and real benefits could vary considerably. TRIAL REGISTRATION:NTR2108; Results.

SUBMITTER: Lokman S

PROVIDER: S-EPMC5640022 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Return-to-work intervention versus usual care for sick-listed employees: health-economic investment appraisal alongside a cluster randomised trial.

Lokman Suzanne S Volker Danielle D Zijlstra-Vlasveld Moniek C MC Brouwers Evelien Pm EP Boon Brigitte B Beekman Aartjan Tf AT Smit Filip F Van der Feltz-Cornelis Christina M CM

BMJ open 20171005 10

<h4>Objective</h4>To evaluate the health-economic costs and benefits of a guided eHealth intervention (E-health module embedded in Collaborative Occupational healthcare (ECO)) encouraging sick-listed employees to a faster return to work.<h4>Design</h4>A two-armed cluster randomised trial with occupational physicians (OPs) (n=62), clustered and randomised by region into an experimental and a control group, to conduct a health-economic investment appraisal. Online self-reported data were collected ...[more]

PMID: 28982815

Similar Datasets

Project description:Pain affects quality of life and can result in absence from work. Treatment and/or prevention strategies for musculoskeletal pain-related long-term sick leave are currently undertaken in several health sectors. Moreover, there are few evidence-based guidelines for such treatment and prevention. The aim of this study is to evaluate the efficacy of 'Tailored Physical Activity' or 'Chronic Pain Self-Management Program' for sick-listed citizens with pain in the back and/or the upper body.This protocol describes the design of a parallel randomised controlled trial on the efficacy of 'Tailored Physical Activity' or a 'Chronic Pain Self-management Program' versus a reference group for sick-listed citizens with complaints of pain in the back or upper body. Participants will have been absent from work due to sick-listing for 3 to 9 weeks at the time of recruitment. All interventions will be performed at the 'Health Care Center' in the Sonderborg Municipality, and a minimum of 138 participants will be randomised into one of the three groups.All participants will receive 'Health Guidance', a (1.5-hour) individualised dialogue focusing on improving ways of living, based on assessments of risk behavior, motivation for change, level of self-care and personal resources. In addition, the experimental groups will receive either 'Tailored Physical Activity' (three 50-minute sessions/week over 10 weeks) or 'Chronic Pain Self-Management Program' (2.5-hours per week over 6 weeks). The reference group will receive only 'Health Guidance'.The primary outcome is the participants' sick-listed status at 3 and 12 months after baseline. The co-primary outcome is the time it takes to return to work. In addition, secondary outcomes include anthropometric measurements, functional capacity and self-reported number of sick days, musculoskeletal symptoms, general health, work ability, physical capacity, kinesiophobia, physical functional status, interpersonal problems and mental disorders.There are few evidence-based interventions for rehabilitation programmes assisting people with musculoskeletal pain-related work absence. This study will compare outcomes of interventions on return to work in order to increase the knowledge of evidence-based rehabilitation of sick-listed citizens to prevent long-term sick-leave and facilitate return to work.The trial is registered in the ClinicalTrials.gov, number NCT01356784.

Dataset Information

Return-to-work intervention versus usual care for sick-listed employees: health-economic investment appraisal alongside a cluster randomised trial.

Publications

Return-to-work intervention versus usual care for sick-listed employees: health-economic investment appraisal alongside a cluster randomised trial.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets