Estimating Under-diagnosis of Patients in Chronically-ill Populations

Abstract

Diagnosis coding in administrative data is known to be inconsistent and incomplete, introducing inaccurate assessment of patients' health outcomes. The under-diagnosis of members with a target chronic condition reduces the correlation of that chronic condition with associated events. Yet, only a few studies have evaluated the extent of under-reporting of chronic conditions in administrative data. In this study, we developed a novel framework to identify latent members, or those who have not yet been identified with a target chronic condition through claims-based diagnosis but are likely to have some degree of the condition. We applied our innovative approach to estimate the prevalence of a chronic-related event, based on the population of observed and latent members. We provided a detailed illustration that treats incontinence as our target chronic condition while examining four types of incontinence-related events: urinary-tract infections (UTIs), slips and falls, dermatitis, and behavioral disruptions. All analysis relied on the 5% Medicare sample for a continuously enrolled cohort between 2014-2018. Using our novel approach, we were able to increase our identification of incontinence from the 11.2% diagnosed in 2018 to an estimated prevalence in 2018 of 34.7% among fee-for-service Medicare beneficiaries over the age of 65. Similarly, our estimation of UTIs associated with those with incontinence increased from 38% to 68%, from 20% to 41% for IAD, 22% to 54% for slips and falls, and from 26% to 57% for behavior disruptions.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

This study was funded by PBE Inc.

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The Office of Research Human Subjects Department at University of California, Santa Barbara reviewed this work and determined that it did not meet the criteria for human subjects research as defined in the Common Rule (45 CFR 46). IRB review and oversight are not required because the activity does not involve human subjects as defined under 45 CFR 46.102 and the research team is not accessing identifiable private information.

I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.

Yes

Data Availability

All data produced in the present study are available upon reasonable request to the authors

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