| Literature DB >> 31129316 |
Meghan Mayhew1, Lynn L DeBar2, Richard A Deyo3, Robert D Kerns4, Joseph L Goulet4, Cynthia A Brandt4, Michael Von Korff2.
Abstract
Effective management of patients with pain requires accurate information about the prevalence, outcomes, and co-occurrence of common pain conditions. However, the transition from ICD-9-CM to ICD-10-CM diagnostic coding in 2015 left researchers without methods for comparing the prevalence of pain conditions before and after the transition. In this study, we developed and assessed a diagnostic framework to serve as a crosswalk between ICD-9-CM and ICD-10-CM diagnosis codes for common pain-related health conditions. We refined existing ICD-9-CM definitions for diagnostic clusters of common pain conditions consistent with the US National Pain Strategy and developed corresponding ICD-10-CM definitions. We then assessed the stability of prevalence estimates and associated patient socio-demographic features of each diagnostic cluster during 1-year periods before and after the transition to ICD-10-CM in 3 US health care systems using electronic health records data for in-person encounters. Prevalence estimates and socio-demographic characteristics were similar before and after the transition. The Pain Condition ICD-9-CM to ICD-10-CM Crosswalk includes a full spectrum of common pain conditions to enable prevalence estimates of multiple and chronic overlapping pain conditions. This allows the tool to serve as a foundation for a broad array of pain-related health services research utilizing electronic databases. PERSPECTIVE: This article details the development and assessment of the Pain Condition ICD-9-CM to ICD-10-CM Crosswalk, a diagnostic framework for assessing pain condition prevalence across the ICD-9-CM to ICD-10-CM transition. This framework can serve as a standardized tool for research on pain conditions, including health services and epidemiologic research.Entities:
Keywords: Pain; electronic databases; epidemiology; health services research; prevalence
Year: 2019 PMID: 31129316 PMCID: PMC6874733 DOI: 10.1016/j.jpain.2019.05.006
Source DB: PubMed Journal: J Pain ISSN: 1526-5900 Impact factor: 5.820