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Practitioners Assess Achievements and Challenges of Non-Fatal Injury Surveillance
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5 2022
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Source: J Public Health Manag Pract. 28(3):258-263
[PDF-63.05 KB]
Details:
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Alternative Title:J Public Health Manag Pract
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Description:Objective:
Injury surveillance relies on data coded for administrative rather than epidemiological accuracy. The Centers for Disease Control and Prevention (CDC) established the five-year Surveillance Quality Improvement (SQI) initiative to advance consensus and methodology for injury epidemiology reporting and analysis. Evaluation of the positive predictive value of CDC’s injury surveillance definitions based on ICD-9-CM and 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 surveillance quality improvement as articulated by experienced injury epidemiology practitioners who participated in the CDC-funded SQI initiative.
Design, Setting & Participants:
We conducted semi-structured interviews with twelve 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 two overarching themes, variability among states and observations on the science of injury surveillance.
Results:
Within the two broad themes, respondents provided valuable insights regarding access to medical records, case definition validation, the 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 has 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.
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Pubmed ID:35334483
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Pubmed Central ID:PMC8956803
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Volume:28
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Issue:3
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