Evidence map›Paper›PMID 40018113›Full record

ArticleBMJ public health2024

Effectiveness, cost-effectiveness and return on investment of individual placement and support compared with traditional vocational rehabilitation for individuals with severe mental illness in the Netherlands: a nationwide implementation study.

Miljana Vukadin, Wim Zwinkels, Frederieke Schaafsma, Marcel Spijkerman, Marloes de Graaf-Zijl, Philippe Delespaul, Jaap van Weeghel, Johanna Maria van Dongen, Johannes Anema

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Supported employment as a global mental health intervention.Global mental health (Cambridge, England) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Miljana VukadinDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.ORCID 0000-0002-7940-4475
Wim ZwinkelsEpsilon Research, Leiden, The Netherlands.
Frederieke SchaafsmaDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Marcel SpijkermanUWV, Amsterdam, The Netherlands.
Marloes de Graaf-ZijlUWV, Amsterdam, The Netherlands.
Philippe DelespaulDepartment of Psychiatry and Neuropsychology, Universiteit Maastricht School for Mental Health and Neuroscience, Maastricht, The Netherlands.
Jaap van WeeghelTilburg University Tranzo Scientific Centre for Care and Welfare, Tilburg, The Netherlands.
Johanna Maria van DongenDepartment of Health Sciences, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Johannes AnemaDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the effectiveness, cost-effectiveness and return on investment of individual placement and support (IPS) implemented through a reimbursement strategy on a nationwide scale compared with traditional vocational rehabilitation (TVR) regarding sustainable participation in competitive employment in individuals with severe mental illness receiving sickness or disability benefits. Methods: An observational study was conducted using administrative data regarding all Dutch individuals receiving sickness or disability benefits in the period 2012-2019. Exact matching and difference-in-difference fixed-effect estimations were performed to handle the non-randomised nature of the data. The matched sample consisted of 863 IPS and 16 466 TVR participants. The primary effect measure was the proportion of individuals having worked for at least 48 hours per month in competitive employment (ie, for 12 hours or more per week); the proportion of individuals having worked in competitive employment for at least 1 hour per month was also evaluated. Cost-effectiveness and return on investment were assessed from the societal perspective (intervention, sickness/disability benefit and healthcare costs) and payer perspective (sickness/disability benefit costs). Results: IPS led to a statistically significant higher probability of being competitively employed for at least 12 hours per week of 3.7% points (95% CI 0.8% to 6.7%) to 7.5% points (95% CI 3.8% to 11.3%) and of being competitively employed for at least 1 hour per month of 4.7% points (95% CI 1.6% to 7.7%) to 8.9% points (95% CI 5.2 to 12.6%) from 6 to 36 months after starting the intervention. From the societal and payer perspective, IPS was-on average-less costly and more effective than TVR and return-on-investment estimates showed that IPS was-on average-cost saving (eg, societal perspective: ∆C: -364 (95% CI -3977 to 3249); ∆E: 0.104 (95% CI 0.046 to 0.164); benefit-cost ratio: 2.1 (95% CI -14.8 to 19.1)), but the uncertainty surrounding these estimates was large. Conclusions: IPS implemented through a reimbursement strategy on a nationwide scale is more effective and potentially cost-effective than TVR in people with severe mental illness receiving sickness or disability benefits. Based on these results, the implementation of IPS by a wide scale reimbursement strategy could be promoted to enhance sustainable participation in competitive employment in these individuals. Future economic evaluations should strive for a more robust sample size and a long follow-up period.

Indexed as

Community HealtheconomicsPublic HealthSocial Medicine

Identifiers

PMID40018113
PMCPMC11812774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.