Capturing the care of complex community‐based health center patients: A comparison of multimorbidity indices and clinical classification software

Author:

Navale Suparna M.1ORCID,Koroukian Siran2,Cook Nicole1,Templeton Anna1,McGrath Brenda M.1ORCID,Crocker Laura1,Bensken Wyatt P.1ORCID,Quiñones Ana R.3,Schiltz Nicholas K.4,Wei Melissa Y.5,Stange Kurt C.6

Affiliation:

1. OCHIN, Inc. Portland Oregon USA

2. Department of Population and Quantitative Health Sciences, School of Medicine Case Western Reserve University Cleveland Ohio USA

3. Department of Family Medicine, and OHSU‐PSU School of Public Health Oregon Health & Science University Portland Oregon USA

4. Frances Payne Bolton School of Nursing Case Western Reserve University Cleveland Ohio USA

5. Division of General Internal Medicine & Health Services Research David Geffen School of Medicine at University of California, Los Angeles Los Angeles California USA

6. Center for Community Health Integration Case Western Reserve University Cleveland Ohio USA

Abstract

AbstractObjectiveTo compare morbidity burden captured from multimorbidity indices and aggregated measures of clinically meaningful categories captured in primary care community‐based health center (CBHC) patients.Data Sources and Study SettingElectronic health records of patients seen in 2019 in OCHIN's national network of CBHCs serving patients in rural and underserved communities.Study DesignAge‐stratified analyses comparing the most common conditions captured by the Charlson, Elixhauser, and Multimorbidity Weighted (MWI) indices, and Classification Software Refined (CCSR) and Chronic Condition Indicator (CCI) algorithms.Data Collection/Extraction MethodsActive ICD‐10 conditions on patients' problem list in 2019.Principal FindingsApproximately 35%–56% of patients with at least one condition are not captured by the Charlson, Elixhauser, and MWI indices. When stratified by age, this range broadens to 9%–90% with higher percentages in younger patients. The CCSR and CCI reflect a broader range of acute and chronic conditions prevalent among CBHC patients.ConclusionThree commonly used indices to capture morbidity burden reflect conditions most prevalent among older adults, but do not capture those on problem lists for younger CBHC patients. An index with an expanded range of care conditions is needed to understand the complex care provided to primary care populations across the lifespan.

Funder

National Institute on Aging

Publisher

Wiley

Reference30 articles.

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2. Comparison of Community-Level and Patient-Level Social Risk Data in a Network of Community Health Centers

3. The global burden of multiple chronic conditions: A narrative review

4. Prevalence of Multiple Chronic Conditions Among US Adults: Estimates From the National Health Interview Survey, 2010

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