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Correlation Patterns between Primary and Secondary Diagnosis Codes in the Social Security Disability Programs

This paper addresses impairment co-morbidity among participants in programs that provide dis-ability benefits. Co-morbidity in this context is defined as the simultaneous presence of a primary and a secondary medical diagnosis. I fit a high-dimensional Bayesian multivariate probit model with a 10% random sample of 2009 initial claimants (disabled workers, including individuals concurrently applying for Disability Insurance and Supplemental Security Income). The resulting correlation estimates provide evidence of strong impairment co-morbidity patterns at the initial-claim level. Many of the findings mirror the epidemiological evidence, such as associations of diabetes with chronic renal failure, open wounds of a lower limb, peripheral neuropathies, and blindness/low vision. Other results are surprising. For instance, the correlation estimates defy the presumption of high positive association between mental and musculoskeletal-system diagnoses
Year of publication:
2019
Authors: Meseguer, Javier
Publisher: [S.l.] : SSRN
Extent:
1 Online-Ressource (92 p)
Series:
Type of publication: Book / Working Paper
Language: English
Notes:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 18, 2018 erstellt
Other identifiers:
10.2139/ssrn.3198836 [DOI]
Classification: C30 - Econometric Methods: Multiple/Simultaneous Equation Models. General ; H53 - Government Expenditures and Welfare Programs ; I38 - Government Policy; Provision and Effects of Welfare Programs
Source:
ECONIS - Online Catalogue of the ZBW
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014113200
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