Evidence map›Paper›PMID 32210472›Full record

ArticlePloS one2020

Prognostic factors for medical and productivity costs, and return to work after trauma.

Leonie de Munter, A J L M Geraerds, Mariska A C de Jongh, Marjolein van der Vlegel, Ewout W Steyerberg, Juanita A Haagsma, Suzanne Polinder

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Leonie de MunterDepartment Trauma TopCare, ETZ hospital (Elisabeth-TweeSteden Ziekenhuis), Tilburg, The Netherlands.ORCID 0000-0001-6573-2032
A J L M GeraerdsDepartment of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Mariska A C de JonghDepartment Trauma TopCare, ETZ hospital (Elisabeth-TweeSteden Ziekenhuis), Tilburg, The Netherlands.
Marjolein van der VlegelDepartment of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.ORCID 0000-0002-0217-9484
Ewout W SteyerbergDepartment of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Juanita A HaagsmaDepartment of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Suzanne PolinderDepartment of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to determine prognostic factors for medical and productivity costs, and return to work (RTW) during the first two years after trauma in a clinical trauma population.

methodsThis prospective multicentre observational study followed all adult trauma patients (≥18 years) admitted to a hospital in Noord-Brabant, the Netherlands from August 2015 through November 2016. Health care consumption, productivity loss and return to work were measured in questionnaires at 1 week, 1, 3, 6, 12 and 24 months after injury. Data was linked with hospital registries. Prognostic factors for medical costs and productivity costs were analysed with log-linked gamma generalized linear models. Prognostic factors for RTW were assessed with Cox proportional hazards model. The predictive ability of the models was assessed with McFadden R2 (explained variance) and c-statistics (discrimination).

resultsA total of 3785 trauma patients (39% of total study population) responded to at least one follow-up questionnaire. Mean medical costs per patient (€9,710) and mean productivity costs per patient (€9,000) varied widely. Prognostic factors for high medical costs were higher age, female gender, spine injury, lower extremity injury, severe head injury, high injury severity, comorbidities, and pre-injury health status. Productivity costs were highest in males, and in patients with spinal cord injury, high injury severity, longer length of stay at the hospital and patients admitted to the ICU. Prognostic factors for RTW were high educational level, male gender, low injury severity, shorter length of stay at the hospital and absence of comorbidity.

conclusionsProductivity costs and RTW should be considered when assessing the economic impact of injury in addition to medical costs. Prognostic factors may assist in identifying high cost groups with potentially modifiable factors for targeted preventive interventions, hence reducing costs and increasing RTW rates.

Indexed as

Cost of IllnessAdolescentAdultAgedFemaleHealth StatusHumansLength of StayLinear ModelsMaleMiddle AgedOutcome Assessment, Health CarePrognosisProportional Hazards ModelsProspective StudiesReturn to Work

Identifiers

PMID32210472
PMCPMC7094860

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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.