Evidence map›Paper›PMID 30673838›Full record

ArticleInternational archives of occupational and environmental health2019

Enhancing medical evaluations of sick-listed employees: an educational intervention to improve professional practice of physicians performing work ability assessments of employees on long-term sick leave.

Patricia M Dekkers-Sánchez, Annette E de Wind

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Article in International archives of occupational and environmental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

Patricia M Dekkers-SánchezDepartment of Social Medical Affairs, Dutch Employee Insurance Agency (UWV), Rotterdam, The Netherlands. patricia.dekkers@uwv.nl.ORCID 0000-0002-4753-7898
Annette E de WindDepartment of Social Medical Affairs, Dutch Employee Insurance Agency (UWV), Rotterdam, The Netherlands.
Uitvoeringsinstituut Werknemersverzekeringen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLong-term sick leave (LTSL) is a complex phenomenon. Medical and non-medical factors can delay return-to-work (RTW); therefore, the assessment of work ability is complicated. A checklist for identifying factors associated with delayed RTW was developed in a prior study to facilitate the exploration of barriers and facilitators for RTW. The purpose of the present study was to determine if use of the checklist enhances professional practice of physicians performing work ability assessments of employees on long-term sick leave and whether the reporting of work ability assessments improved when using the checklist in the routinely practice-based context.

methodsAn educational intervention study was performed using qualitative framework analysis. Thirty-five Dutch physicians were asked to identify and report the barriers and facilitators for RTW and the consequences for the work ability and for the prognosis regarding work reintegration using the checklist. A pre-post qualitative analysis of the medical records was performed using a gradual classification of the reporting of the work ability to evaluate the change in reporting following the educational intervention.

resultsA total of 337 work ability assessments were performed using the checklist. The identification of factors influencing RTW and the comprehensiveness of the medical records increased when compared with the reporting before the educational intervention. The reporting of the work ability assessments improved after the educational intervention. Most physicians reported at least one of the factors of the checklist. 72% participants reported and described adequately at least one factor. 48% participants reported how the factors influenced the work ability, 20% participants reported how the factors influenced the prognosis regarding RTW and 12% participants reported which advice was provided by the physician to influence the barriers for RTW.

conclusionsUse of the checklist enhances professional practice of physicians performing work ability assessments of employees on long-term sick leave and is associated with increased identification of barriers and facilitators for RTW. The use of the checklist should be considered to improve professional practice of physicians performing work ability assessments.

Indexed as

Work Capacity EvaluationAdultChecklistEvaluation Studies as TopicFemaleHumansMaleMedical RecordsMiddle AgedNetherlandsOccupational MedicinePhysiciansReturn to WorkSick LeaveChecklistEducational interventionFactorsLong-term sick leaveReturn to workWork ability assessment

Identifiers

PMID30673838
OpenAlexW2914600451

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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.