ReviewBMC family practice2020
Assessing work capacity - reviewing the what and how of physicians' clinical practice.
Review in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interventions regarding physicians' sickness certification practice - a systematic literature review with meta-analyses.Scandinavian journal of primary health care · 2022Pooled it
- Early structured communication between general practitioner, sick-listed patient, and employer: Results and lessons learned from a pragmatic trial in the Capacity Note project.Primary health care research & development · 2024Trial
- How consistent are sick leave assessments? Variation among primary care physicians in Sweden.Scandinavian journal of primary health care · 2026Article
- Mapping Employability Assessments for Adults with Limitations of Functioning: A Scoping Review.Journal of occupational rehabilitation · 2026Review
- Digital learning effectiveness and strategies in medical training: perspectives on motivation and attitude among interns and PGY trainees.BMC medical education · 2026Article
- What is the future of the fit note?The British journal of general practice : the journal of the Royal College of General Practitioners · 2026Article
- Conceptual qualitative system dynamics model for simulation of perceived workload, stress and performance from industrial work content.PloS one · 2026Article
- Article
- Validity of the Capacity to Work Index: Development of an Instrument to Measure Work Capacity in Relation to Depression and Anxiety in the General Working Population.Journal of occupational rehabilitation · 2024Article
- Suitability of issuing sickness certifications in remote consultations during the COVID-19 pandemic. A mixed method study of GPs' experiences.Scandinavian journal of primary health care · 2024Article
- Article
- Article
- Returning-to-work after mental health-associated sick leave: a qualitative interview study exploring the experiences of general practitioners in Germany.BMC primary care · 2023Article
- "That's probably how you would want care to be" - experiences of sick leave teams at a health center, a mixed method study.BMC primary care · 2023Article
- Factors associated with general practitioners' contacts with sick-listed patients' employers: A Swedish nationwide questionnaire study.Scandinavian journal of public health · 2023Article
- GPs' experiences of a collaborative care model for patients with common mental disorders who need sick leave certification: a qualitative study.BJGP open · 2022Article
- Cooperation between Public Primary Health Care and Occupational Health Care Professionals in Work Ability-Related Health Issues.International journal of environmental research and public health · 2022Article
- Capability to make well-founded decisions: an interview study of people with experience of sickness absence who have common mental disorders.BMC public health · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundAlthough a main task in the sickness certification process, physicians' clinical practice when assessing work capacity has not been thoroughly described. Increased knowledge on the matter is needed to better understand and support the certification process. In this review, we aimed to synthesise existing qualitative evidence to provide a clearer description of the assessment of work capacity as practiced by physicians.
methodSeven electronic databases were searched systematically for qualitative studies examining what and how physicians do when they assess work capacity. Data was analysed and integrated using thematic synthesis.
resultsTwelve articles were included. Results show that physicians seek to form a knowledge base including understanding the condition, the patient and the patient's workplace. They consider both medical and non-medical aspects to affect work capacity. To acquire and process the information they use various skills, methods and resources. Medical competence is an important basis, but not enough. Time, trust, intuition and reasoning are also used to assess the patient's claims and to translate the findings into a final assessment. The depth and focus of the information seeking and processing vary depending on several factors.
conclusionThe assessment of work capacity is a complex task where physicians rely on their non-medical skills to a higher degree than in ordinary clinical work. These skills are highly relevant but need to be complemented with access to appropriate resources such as understanding of the associations between health, work and social security, enough time in daily work for the assessment and ways to better understand the patient's work place. Also, the notion of an "objective" evaluation is questioned, calling for a greater appreciation of the complexity of the assessment and the role of professional judgement.
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What OpenQuestion holds
Registered trials
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.