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Record W2799985133 · doi:10.4073/csr.2012.17

Workplace Disability Management Programs Promoting Return to Work: A Systematic Review

2012· review· en· W2799985133 on OpenAlexaboutno aff
Ulrik Gensby, Thomas Lund, Krystyna Kowalski, Madina Saidj, Trine Filges, Emma Irvin, Benjamin C. Amick, Merete Labriola

Bibliographic record

VenueCampbell Systematic Reviews · 2012
Typereview
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)PsychologyBusinessActuarial scienceEngineering

Abstract

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This Campbell systematic review assesses the effectiveness of workplace disability management programs (‘WPDM’) in promoting return to work. The review summarises findings from 13 studies, eight conducted in the USA and five in Canada. Participants were employees on sick leave, from the private and public sectors, with an inability to work due to physical injury, illness or mental disorders. WPDM programmes typically comprise multiple components, such as early and considerate contact, modified/tailored work schedule or duties, a revision of workplace roles, education of workplace staff, and rehabilitation activities. Programmes typically involved an inter-disciplinary team of competences from several corporate located key parties such as: occupational physicians and physiotherapists, occupational therapist/ergonomists, case managers/return-to work (‘RTW’) coordinators, union representatives, supervisors, and managerial HR staff. A RTW policy was used to describe procedures, and stakeholder engagement with roles and responsibilities written into the policy. A joint labour-management committee may serve as a vehicle for developing consensus among key decision makers in the design, implementation and evaluation of each component, and inclusion of senior management may drive corporate support and commitment. The available evidence was not suitable for quantitative synthesis, so no overall conclusion on the effectiveness of WPDM programmes can be made. It cannot be determined if specific program components or specific sets of components are driving effectiveness. The majority of studies programs focused on musculoskeletal disorders during the off work/pre-return phase of the RTW process. There is little evidence regarding programmes targeting mental health conditions. EXECUTIVE SUMMARY This report presents a Campbell systematic review on the effectiveness of workplace disability management programs (WPDM programs) promoting return to work (RTW), as implemented and practised by employers. The objectives of this review were to assess the effects of WPDM programs, to examine components or combination of components, which appear more highly related to positive RTW outcomes, and get an understanding of the research area to assess needed research. Twelve databases were searched for peer-reviewed studies published between 1948 to July 2010 on WPDM programs provided by the employer to re-entering employees with injuries or illnesses (occupational or non-occupational). Screening of articles, risk of bias assessment and data extraction were conducted in pairs of reviewers. A total of 16,932 records were identified by the initial search. Of these 599 papers were assessed for relevance. Thirteen studies (two non-randomized studies (NRS) and eleven single group ‘before and after’ studies (B&A), including eleven different WPDM programs, met the inclusion criteria. There were insufficient data on the characteristics of the sample and the effect sizes were uncertain. However, narrative descriptions of the included program characteristics were rich, and provide valuable insights into program scope, components, procedures and human resources involved. There is a lack of evidence to draw unambiguous conclusions on the effectiveness of employer provided WPDM programs promoting RTW. Thus we could not determine if specific program components or specific sets of components are driving effectiveness. The review adds to the exiting knowledge base on WPDM program development, characteristics and evaluation. As an organizational level intervention employer provided WPDM programs are multi-component offering a suite of policies and practices for injured or ill employees. The review identified 15 constituent program components, covering individual, organizational, and system level policies and practices, depicting key human resources involved in workplace program procedures and administration. The majority of WPDM programs were targeted musculoskeletal disorders, during the off-work and pre-return phase of the RTW process, with only little evidence on WPDM programs targeting mental health conditions and post return/stay at work. Future program evaluations ought to broaden their focus beyond the first phases of the RTW process and incorporate sustainable outcomes (e.g. job retention, satisfactory and productive job performance, work role functioning, and maintenance of job function). Given the lack of WPDM programs evaluated in peer-reviewed publications, more attention needs to be given to locate and evaluate efforts from company studies that may still exist outside the peer reviewed published literature. Thus, researchers following this track need to consider if these studies, when located have adequate study designs. While many employers recognize the importance of WPDM and are adopting policies and practices to promote RTW, judging from this review, the existing evidence leaves room for more rigorous methodological studies to develop the present WPDM knowledge base. Prospectively WPDM evaluation research also needs to enlarge its perspective and analytic tools to examine information that is meaningful and cost effective to those who will benefit from it to further advance the field. The review findings might help explicate WPDM programs and its potential impact on RTW outcomes, and provide a more complete understanding of the research in the field of WPDM. This may inspire researchers, employers, and policy makers, who are interested not only in questions regarding the impact of programs, but also their nature, to promote future design and evaluation of DM in organizations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.059
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0130.012
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.403
GPT teacher head0.470
Teacher spread0.067 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2012
Admission routes1
Has abstractyes

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