Evidence map›Paper›PMID 22120023›Full record

ArticleJournal of occupational rehabilitation2012

Prediction of return to work outcomes under an injured worker case management program.

Wenming Kong, Dan Tang, Xiaoyuan Luo, Ignatius Tak Sun Yu, Youxin Liang, Yonghua He

Abstract read
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In one paragraph

Article in Journal of occupational rehabilitation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
–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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

6 authors.

Wenming KongZhengjiang Provincial Institute for Dermatoses Prevention and Cure, Deqing County, 313200, Zhejiang Province, People's Republic of China.
Dan Tang
Xiaoyuan Luo
Ignatius Tak Sun Yu
Youxin Liang
Yonghua He

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany factors affect worker return to work (RTW) after occupational injury, among which effective case management strategies play a particularly vital role in prompting workers for a successful RTW. Objectives This study aimed at predicting the RTW outcome and optimizing the intervention scheme of a case management program initiated in China.

methodsA retrospective cohort was formed with 523 injured workers treated at a rehabilitation center for work injuries in southern China. The social demographic information, medical data and intervention process were extracted from the medical records of the rehabilitation center. A Cox Regression Model was used to examine the predictors of RTW case management.

results261 patients (77.9%) out of the 335 valid subjects successfully returned to work after median absence duration of 36.0 days. A computer skills training program was a positive factor for RTW outcomes (hazard ratio 1.5, P < 0.001). Psychological counseling was possibly an important measure to improve RTW with a hazard ratio of 3.4 (95% CI 0.94-16, P > 0.05). Disability adjustment accommodations did not specifically benefit RTW. Education level, family's attitude to RTW, personal perceptions about social support for RTW, and injury severity were significantly associated with outcomes of RTW.

conclusionsIt was implied that RTW intervention should be focused on a specific skill reconstruction and training which was presumably related with labor market needs. However, tailored psychological counseling and disability adjustment activity should not be ignored in RTW.

Indexed as

EmploymentOccupational InjuriesRehabilitation, VocationalWork Capacity EvaluationAdultCase ManagementChinaFemaleFollow-Up StudiesForecastingHumansInjury Severity ScoreMaleMiddle AgedOutcome and Process Assessment, Health CareProportional Hazards Models

Identifiers

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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.