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. 2022 Apr 13;29(5):770-778.
doi: 10.1093/jamia/ocac016.

Comparing ascertainment of chronic condition status with problem lists versus encounter diagnoses from electronic health records

Robert W Voss  1 , Teresa D Schmidt  1 , Nicole Weiskopf  2 , Miguel Marino  3 , David A Dorr  2 , Nathalie Huguet  3 , Nate Warren  1 , Steele Valenzuela  3 , Jean O'Malley  1 , Ana R Quiñones  3   4
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Comparing ascertainment of chronic condition status with problem lists versus encounter diagnoses from electronic health records

Robert W Voss et al. J Am Med Inform Assoc. .

Abstract

Objective: To assess and compare electronic health record (EHR) documentation of chronic disease in problem lists and encounter diagnosis records among Community Health Center (CHC) patients.

Materials and methods: We assessed patient EHR data in a large clinical research network during 2012-2019. We included CHCs who provided outpatient, older adult primary care to patients age ≥45 years, with ≥2 office visits during the study. Our study sample included 1 180 290 patients from 545 CHCs across 22 states. We used diagnosis codes from 39 Chronic Condition Warehouse algorithms to identify chronic conditions from encounter diagnoses only and compared against problem list records. We measured correspondence including agreement, kappa, prevalence index, bias index, and prevalence-adjusted bias-adjusted kappa.

Results: Overlap of encounter diagnosis and problem list ascertainment was 59.4% among chronic conditions identified, with 12.2% of conditions identified only in encounters and 28.4% identified only in problem lists. Rates of coidentification varied by condition from 7.1% to 84.4%. Greatest agreement was found in diabetes (84.4%), HIV (78.1%), and hypertension (74.7%). Sixteen conditions had <50% agreement, including cancers and substance use disorders. Overlap for mental health conditions ranged from 47.4% for anxiety to 59.8% for depression.

Discussion: Agreement between the 2 sources varied substantially. Conditions requiring regular management in primary care settings may have a higher agreement than those diagnosed and treated in specialty care.

Conclusion: Relying on EHR encounter data to identify chronic conditions without reference to patient problem lists may under-capture conditions among CHC patients in the United States.

Keywords: chronic disease ascertainment; community health centers (CHC); concordance; electronic health records (EHR); multimorbidity.

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Figures

Figure 1.
Figure 1.
Overlap of chronic condition ascertainment from EHR problem list and encounter diagnosis records.
Figure 2.
Figure 2.
Distribution of months between problem list and encounter diagnosis onset dates among conditions ascertained by both EHR sources.
See this image and copyright information in PMC

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