Big Data Analytics (Dec 2017)
Work ability assessment among acutely admitted patients using biomarkers
Abstract
Abstract Background Can biomarkers be used to predict the future work ability of patients admitted to hospital? To answer this question, we use a combination of biological measurements, registry data, data from questionnaires, and results from functional tests. The study comprises both a randomized controlled intervention trial with physical training and a prospective study, the latter using only questionnaire data combined with registry data. The setting is an emergency department at a hospital in the capital region in Denmark. Participants to the study were recruited right after admittance to the hospital. Here we present the study background and method as well as the initial recruitment of project participants. Results Patients eligible for the intervention trial were randomized in blocks to either the intervention or the control group. The randomization was stratified first according to age-group and second by whether the diagnosis was mainly physical or mental in origin. Data was collected in four rounds: at admission to hospital, at the intervention site 2 weeks after discharge, 12 weeks after discharge when the training program was completed and via a forwarded questionnaire on work ability after 12 months. In the prospective study, the participants answer questionnaires on work ability and physical and mental resources at admission to hospital, and will be evaluated in regard to work ability, labour market participation and sick-leave after 2 years. Work ability is measured using a validated questionnaire, the Work ability Index (WAI), and data on labour market position and sick-leave are gained from national registries. Conclusions The strength of the study is that it includes biomarkers, results from questionnaires and functional tests along with socio-economic background and registry data. Thus, it reflects the complexity of work ability. The short duration of stay in the Emergency Department and the high level of activity here made it difficult to have enough time with the patients to fill in the questionnaires and provide information on the project. Therefore, it should be considered if another more appropriate time point for these activities can be examined. The study presents new opportunities for big data analysis within the health care sector which may be especially adaptable within a Danish context since health registries are already of high quality here. Trial registration ClinicalTrials.gov at October 9, 2015 identifier; NCT02614430 . Retrospectively registered.
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