Practitioners Assess Achievements and Challenges of Nonfatal Injury Surveillance

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Injury surveillance relies on data coded for administrative rather than epidemiological accuracy. The Centers for Disease Control and Prevention (CDC) established the 5-year Surveillance Quality Improvement (SQI) initiative to advance consensus and methodology for injury epidemiology reporting and analysis. Evaluation of the positive predictive value of the CDC's injury surveillance definitions based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding in designated injury categories comprised much of the SQI initiative's work. The goal of the current study is to identify achievements and challenges in SQI as articulated by experienced injury epidemiology practitioners who participated in the CDC-funded SQI initiative. Design, Setting, and Participants: We conducted semistructured interviews with 12 representatives of state and federal public health agencies who had participated extensively in the SQI initiative. The interviews were transcribed and coded using NVivo qualitative analysis software. Initial coding of the data involved both in vivo coding (using the words of participants) and coding of a priori themes. Main Outcome Measures: Qualitative analysis identified 2 overarching themes, variability among states and observations on the science of injury surveillance. Results: Within the 2 broad themes, the respondents provided valuable insights regarding access to medical records, case definition validation, unique contributions of medical record abstracting, variations in the practice of medical coding, and the potential for use of data from medical record reviews in other injury-related areas. Conclusions: The contributions of the SQI initiative have provided valuable insights into ICD-10-CM case definitions for national injury surveillance. Challenges remain with regard to data access and quality with ongoing reliance on administrative datasets for injury surveillance.

Original languageEnglish
Pages (from-to)258-263
Number of pages6
JournalJournal of Public Health Management and Practice
Volume28
Issue number3
DOIs
StatePublished - May 1 2022

Bibliographical note

Publisher Copyright:
© 2022 Lippincott Williams and Wilkins. All rights reserved.

Keywords

  • administrative claims
  • clinical coding
  • health care
  • injuries
  • public health surveillance

ASJC Scopus subject areas

  • Health Policy
  • Public Health, Environmental and Occupational Health

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