Are cause of death data for Shanghai fit for purpose? A retrospective study of medical records

BMJ Open. 2022 Feb 15;12(2):e046185. doi: 10.1136/bmjopen-2020-046185.

Abstract

Objectives: To assess the quality of cause of death reporting in Shanghai for both hospital and home deaths.

Design and setting: Medical records review (MRR) to independently establish a reference data set against which to compare original and adjusted diagnoses from a sample of three tertiary hospitals, one secondary level hospital and nine community health centres in Shanghai.

Participants: 1757 medical records (61% males, 39% females) of deaths that occurred in these sample sites in 2017 were reviewed using established diagnostic standards.

Interventions: None.

Primary outcome: Original underlying cause of death (UCOD) from medical facilities.

Secondary outcome: Routine UCOD assigned from the Shanghai Civil Registration and Vital Statistics (CRVS) system and MRR UCODs from MRR.

Results: The original UCODs as assigned by doctors in the study facilities were of relatively low quality, reduced to 31% of deaths assigned to garbage codes, reduced to 2.3% following data quality and follow back procedures routinely applied by the Shanghai CRVS system. The original UCOD had lower chance-corrected concordance and cause-specific mortality fraction accuracy of 0.57 (0.44, 0.70) and 0.66, respectively, compared with 0.75 (0.66, 0.85) and 0.96, respectively, after routine data checking procedures had been applied.

Conclusions: Training in correct death certification for clinical doctors, especially tertiary hospital doctors, is essential to improve UCOD quality in Shanghai. A routine quality control system should be established to actively track diagnostic performance and provide feedback to individual doctors or facilities as needed.

Keywords: epidemiology; medical education & training; public health; statistics & research methods.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cause of Death
  • China / epidemiology
  • Death Certificates
  • Female
  • Humans
  • Male
  • Medical Records
  • Retrospective Studies
  • Vital Statistics*