Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Dec 3, 2018
Open Peer Review Period: Dec 7, 2018 - Feb 1, 2019
Date Accepted: Oct 22, 2019
(closed for review but you can still tweet)
Medical conditions predictive of self-reported poor health: results of a big data study
ABSTRACT
Background:
Identifying the medical conditions that are associated with poor health is crucial to prioritize decisions for future research and organizing care however, assessing the burden of disease in the general population is complex, lengthy and expensive. Claims databases that include self-reported health status can be used to assess the impact of medical conditions on the health in a population.
Objective:
To identify medical conditions that are highly predictive of poor health status using claims databases.
Methods:
To determine the medical conditions most highly predictive of poor health status we used a retrospective cohort study using two US claims databases. Subjects were commercially insured patients. Health status was measured using a self-report health status response. All medical conditions were included in a LASSO regression model to assess which conditions were associated with poor versus excellent health.
Results:
Total of 1,186,871 subjects were included, 61% reported having excellent or very good health. The top medical conditions associated with poor health were cancer related conditions, demyelinating disorders, diabetes/diabetic complications, psychiatric illnesses (mood disorders, schizophrenia), sleep disorders, seizures, male reproductive tract infections, chronic obstructive pulmonary disease, cardiomyopathy, dementia, and headaches.
Conclusions:
Discussion Understanding the impact of disease in a commercially insured population is critical to identify subjects who may be at risk for reduced productivity and job loss. The prospective collection of data to assesses burden of disease could be tailored and focused to supplement the information that can be obtained from claims or similar databases linked to sources that have self-reported health status data. Conclusion Cancer related conditions, demyelinating disorders, diabetes/diabetic complications, psychiatric illnesses (mood disorders, schizophrenia), sleep disorders, seizures, male reproductive tract infections, chronic obstructive pulmonary disease, cardiomyopathy, dementia, and headaches were the top medical conditions associated with poor health.
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.