Evidence map›Paper›PMID 26547909›Full record

ArticleJournal of occupational rehabilitation2016

Return-to-Work Within a Complex and Dynamic Organizational Work Disability System.

Arif Jetha, Glenn Pransky, Jon Fish, Lawrence J Hettinger

Open access · hybridAbstract read
In one paragraph

Article in Journal of occupational rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Sustainable Return to Work for Workers with Mental Health and Musculoskeletal Conditions.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Recovery Within Injury Compensation Schemes: A System Mapping Study.Journal of occupational rehabilitation · 2019
    Article
  12. Article
  13. Article
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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

4 authors at 1 institution in 1 country.

Arif JethaLiberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA. AJetha@iwh.on.ca.
Glenn PranskyLiberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA.
Jon FishLiberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA.
Lawrence J HettingerLiberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA.
Liberty Mutual Research Institute for Safety · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Return-to-work (RTW) within a complex organizational system can be associated with suboptimal outcomes. Purpose To apply a sociotechnical systems perspective to investigate complexity in RTW; to utilize system dynamics modeling (SDM) to examine how feedback relationships between individual, psychosocial, and organizational factors make up the work disability system and influence RTW. Methods SDMs were developed within two companies. Thirty stakeholders including senior managers, and frontline supervisors and workers participated in model building sessions. Participants were asked questions that elicited information about the structure of the work disability system and were translated into feedback loops. To parameterize the model, participants were asked to estimate the shape and magnitude of the relationship between key model components. Data from published literature were also accessed to supplement participant estimates. Data were entered into a model created in the software program Vensim. Simulations were conducted to examine how financial incentives and light duty work disability-related policies, utilized by the participating companies, influenced RTW likelihood and preparedness. Results The SDMs were multidimensional, including individual attitudinal characteristics, health factors, and organizational components. Among the causal pathways uncovered, psychosocial components including workplace social support, supervisor and co-worker pressure, and supervisor-frontline worker communication impacted RTW likelihood and preparedness. Interestingly, SDM simulations showed that work disability-related policies in both companies resulted in a diminishing or opposing impact on RTW preparedness and likelihood. Conclusion SDM provides a novel systems view of RTW. Policy and psychosocial component relationships within the system have important implications for RTW, and may contribute to unanticipated outcomes.

Indexed as

Models, OrganizationalModels, PsychologicalHumansPersons with DisabilitiesReturn to WorkWorkplaceComplexityReturn-to-workSociotechnical systemsSystem dynamics modelingWork disability management

Identifiers

PMID26547909
PMCPMC4967424
OpenAlexW2147413614

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.