ArticlePloS one2015
Using "big data" to capture overall health status: properties and predictive value of a claims-based health risk score.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines.Frontiers in neurology · 2021Review
- Association of Neighborhood Disadvantage With Cardiovascular Risk Factors and Events Among Refugees in Denmark.JAMA network open · 2020Article
- Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance.Bulletin of the World Health Organization · 2020Article
- The effect of the look-back period for estimating incidence using administrative data.BMC health services research · 2020Article
- Accelerated lung function decline in an aluminium manufacturing industry cohort exposed to PMOccupational and environmental medicine · 2019Article
- Characterizing Long-Term Trajectories of Work and Disability Leave: The Role of Occupational Exposures, Health, and Personal Demographics.Journal of occupational and environmental medicine · 2019Article
- Cohort Profile: The American Manufacturing Cohort (AMC) study.International journal of epidemiology · 2019Article
- Association Between Clinical Practice Group Adherence to Quality Measures and Adverse Outcomes Among Adult Patients With Diabetes.JAMA network open · 2019Article
- Intraseason Waning of Influenza Vaccine Effectiveness.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Article
- Night and rotational work exposure within the last 12 months and risk of incident hypertension.Scandinavian journal of work, environment & health · 2019Article
- Big Data in occupational medicine: the convergence of -omics sciences, participatory research and e-health.La Medicina del lavoro · 2019Article
- National Rates of Initiation and Intensification of Antidiabetic Therapy Among Patients With Commercial Insurance.Diabetes care · 2018Article
- PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017Article
- Predicting later life health status and mortality using state-level socioeconomic characteristics in early life.SSM - population health · 2016Article
- The Effects of Job Insecurity on Health Care Utilization: Findings from a Panel of U.S. Workers.Health services research · 2016Article
- Incident Ischemic Heart Disease After Long-Term Occupational Exposure to Fine Particulate Matter: Accounting for 2 Forms of Survivor Bias.American journal of epidemiology · 2016Article
- The impact of retirement on health: quasi-experimental methods using administrative data.BMC health services research · 2016Article
- Ischemic Heart Disease Incidence in Relation to Fine versus Total Particulate Matter Exposure in a U.S. Aluminum Industry Cohort.PloS one · 2016Article
- Linking individual medicare health claims data with work-life claims and other administrative data.BMC public health · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundInvestigators across many fields often struggle with how best to capture an individual's overall health status, with options including both subjective and objective measures. With the increasing availability of "big data," researchers can now take advantage of novel metrics of health status. These predictive algorithms were initially developed to forecast and manage expenditures, yet they represent an underutilized tool that could contribute significantly to health research. In this paper, we describe the properties and possible applications of one such "health risk score," the DxCG Intelligence tool.
methodsWe link claims and administrative datasets on a cohort of U.S. workers during the period 1996-2011 (N = 14,161). We examine the risk score's association with incident diagnoses of five disease conditions, and we link employee data with the National Death Index to characterize its relationship with mortality. We review prior studies documenting the risk score's association with other health and non-health outcomes, including healthcare utilization, early retirement, and occupational injury. RESULTS AND
conclusionsWe find that the risk score is associated with outcomes across a variety of health and non-health domains. These examples demonstrate the broad applicability of this tool in multiple fields of research and illustrate its utility as a measure of overall health status for epidemiologists and other health researchers.
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