Literature DB >> 33667620

Medical record bias in documentation of obstetric and neonatal clinical quality of care indicators in Uganda.

Min Kyung Kim1, Joy Noel Baumgartner2, Jennifer Headley2, Julius Kirya3, James Kaggwa4, Joseph R Egger5.   

Abstract

OBJECTIVE: To achieve a high quality of care (QoC), accurate measurements are needed. This study evaluated the validity of QoC data from the medical records for childbirth deliveries and assessed whether medical records can be used to evaluate the efficacy of interventions to improve QoC. STUDY DESIGN AND
SETTING: This study was part of a larger study of QoC training program in Uganda. Study data were collected in two phases: (1) validation data from 321 direct observations of deliveries paired with the corresponding medical records; (2) surveillance data from 1,146 medical records of deliveries. Sensitivity, specificity, and predictive values were used to measure the validity of the medical record from the validation data. Quantitative bias analysis was conducted to evaluate QoC program efficacy in the surveillance data using prevalence ratio and odds ratio.
RESULTS: On average, sensitivity (84%) of the medical record was higher than the specificity (34%) across 11 QoC indicators, showing a higher validity in identifying the performed procedure. For 5 out of 11 indicators, bias-corrected odds ratios and prevalence ratios deviated significantly from uncorrected estimates.
CONCLUSION: The medical records demonstrated poor validity in measuring QoC compared with direct observation. Using the medical record to assess QoC program efficacy should be interpreted carefully.
Copyright © 2021. Published by Elsevier Inc.

Keywords:  Direct observation; Medical record, misclassification; Quality of care; Quantitative bias analysis; Validity

Year:  2021        PMID: 33667620     DOI: 10.1016/j.jclinepi.2021.02.024

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

1.  Stability of healthcare quality measures for maternal and child services: Analysis of the continuous service provision assessment of health facilities in Senegal, 2012-2018.

Authors:  Hannah H Leslie; Celestin Hategeka; Papa Ibrahima Ndour; Kojo Nimako; Mamadou Dieng; Abdoulaye Diallo; Youssoupha Ndiaye
Journal:  Trop Med Int Health       Date:  2021-12-16       Impact factor: 3.918

2.  Impact evaluation of a maternal and neonatal health training intervention in private Ugandan facilities.

Authors:  Joy Noel Baumgartner; Jennifer Headley; Julius Kirya; Josh Guenther; James Kaggwa; Min Kyung Kim; Luke Aldridge; Stefanie Weiland; Joseph Egger
Journal:  Health Policy Plan       Date:  2021-08-12       Impact factor: 3.344

  2 in total

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