Evaluating inpatient mortality: a new electronic review process that gathers information from front-line providers

BMJ Qual Saf. 2015 Jan;24(1):31-7. doi: 10.1136/bmjqs-2014-003120. Epub 2014 Oct 20.

Abstract

Importance: Accurately and routinely identifying factors contributing to inpatient mortality remains challenging.

Objective: To describe the development, implementation and performance of a new electronic mortality review method 1 year after implementation.

Methods: An analysis of data gathered from an electronic instrument that queries front-line providers on their opinions on quality and safety related issues, including potential preventability, immediately after a patient's death. Comparison was also made with chart reviews and administrative data.

Results: In the first 12 months, reviewers responded to 89% of reviews sent (2547 responses from 2869 requests), resulting in at least one review in 99% (1058/1068) of inpatient deaths. Clinicians provided suggestions for improvement in 7.7% (191/2491) of completed reviews, and reported that 4.8% (50/1052) of deaths may have been preventable. Quality and safety issues contributing to potentially preventable inpatient mortality included delays in obtaining or responding to tests (15/50, 30%), communication barriers (10/50, 20%) and healthcare associated infections (9/50, 18%). Independent, blinded chart review of a sample of clinician reviews detected potential preventability in 10% (2/20) of clinician reported cases as potentially preventable. Comparison with administrative data showed poor agreement on the identification of complications with neither source consistently identifying more complications.

Conclusions: Our early experience supports the feasibility and utility of an electronic tool to collect real-time clinical information related to inpatient deaths directly from front-line providers. Caregivers reported information that was complementary to data available from chart review and administrative sources in identifying potentially preventable deaths and informing quality improvement efforts.

Keywords: Patient safety; Quality improvement; Quality improvement methodologies; Safety culture; Significant event analysis, critical incident review.

MeSH terms

  • Academic Medical Centers / statistics & numerical data
  • Attitude of Health Personnel
  • Communication Barriers
  • Cross Infection / epidemiology
  • Cross Infection / prevention & control
  • Hospital Mortality*
  • Humans
  • Information Systems
  • Organizational Culture
  • Patient Safety / statistics & numerical data*
  • Program Development
  • Quality Improvement / statistics & numerical data*
  • Quality Indicators, Health Care / statistics & numerical data*
  • Time Factors