Evidence map›Paper›PMID 28223852›Full record

ArticleRisk management and healthcare policy2017

Injured workers' perception of loss and gain in the return to work process.

Hon Sun Lai, Grace Py Szeto, Chetwyn Ch Chan

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

3 authors.

Hon Sun LaiDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University; Total Rehabilitation Management (Hong Kong) Limited.
Grace Py SzetoDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University.
Chetwyn Ch ChanApplied Cognitive Neuroscience Laboratory, Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When a worker is injured at work, he has to face a tough decision-making process about when and how to return to work (RTW). This study tests how the prospect theory can be applied to influence the injured workers' perceptions about this important choice. One hundred forty-one injured workers were presented with wage- and pain-related information in four different message framing (negatively or positively) and precision (smaller or larger number) conditions. After exposure to the specific combination of this wage and pain information, the participants were asked to express intentions to RTW in terms of perceived chance, confidence, and anticipated sick leave duration. When asked to predict their RTW outcome, 101 participants (72.3%) responded favorably, whereas only 40 (27.7%) indicated an expectation for staying on sick leave. The present results did not show significant differences in the participants' responses to the positively and negatively framed information about wage and pain. However, it was noted that the control group that was presented with positive framing for both "wage" and "pain" information showed higher scores in expectation and confidence for RTW, whereas the Ambivalent Group that had both negative messages showed lower scores. Seventy-nine participants who had ≥60% perceived improvement in condition were selected for further analysis, and those who were presented with "wage loss" information rated significantly higher perceived chance of RTW than those in the "pain gain" group. More in-depth investigation is warranted on this topic, with a larger sample of injured workers to investigate the effects of message framing on the decision-making process about RTW.

Indexed as

compensationinjuryrehabilitationwages

Identifiers

PMID28223852
PMCPMC5304984

What OpenQuestion holds

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Registered trials

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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.