Jane Taggart1, Siaw-Teng Liaw2, Hairong Yu1. 1. Centre for Primary Health Care& Equity, UNSW Australia, Sydney, Australia. 2. Centre for Primary Health Care& Equity, UNSW Australia, Sydney, Australia; School of Public Health & Community Medicine, UNSW Australia, Sydney, Australia; General Practice Unit, South Western Sydney Local Health District, NSW, Australia. Electronic address: siaw@unsw.edu.au.
Abstract
OBJECTIVE: To examine whether a structured data quality report (SDQR) and feedback sessions with practice principals and managers improve the quality of routinely collected data in EHRs. METHODS: The intervention was conducted in four general practices participating in the Fairfield neighborhood electronic Practice Based Research Network (ePBRN). Data were extracted from their clinical information systems and summarised as a SDQR to guide feedback to practice principals and managers at 0, 4, 8 and 12 months. Data quality (DQ) metrics included completeness, correctness, consistency and duplication of patient records. Information on data recording practices, data quality improvement, and utility of SDQRs was collected at the feedback sessions at the practices. The main outcome measure was change in the recording of clinical information and level of meeting Royal Australian College of General Practice (RACGP) targets. RESULTS: Birth date was 100% and gender 99% complete at baseline and maintained. DQ of all variables measured improved significantly (p<0.01) over 12 months, but was not sufficient to comply with RACGP standards. Improvement was greatest with allergies. There was no significant change in duplicate records. CONCLUSIONS: SDQRs and feedback sessions support general practitioners and practice managers to focus on improving the recording of patient information. However, improved practice DQ, was not sufficient to meet RACGP targets. Randomised controlled studies are required to evaluate strategies to improve data quality and any associated improved safety and quality of care.
OBJECTIVE: To examine whether a structured data quality report (SDQR) and feedback sessions with practice principals and managers improve the quality of routinely collected data in EHRs. METHODS: The intervention was conducted in four general practices participating in the Fairfield neighborhood electronic Practice Based Research Network (ePBRN). Data were extracted from their clinical information systems and summarised as a SDQR to guide feedback to practice principals and managers at 0, 4, 8 and 12 months. Data quality (DQ) metrics included completeness, correctness, consistency and duplication of patient records. Information on data recording practices, data quality improvement, and utility of SDQRs was collected at the feedback sessions at the practices. The main outcome measure was change in the recording of clinical information and level of meeting Royal Australian College of General Practice (RACGP) targets. RESULTS: Birth date was 100% and gender 99% complete at baseline and maintained. DQ of all variables measured improved significantly (p<0.01) over 12 months, but was not sufficient to comply with RACGP standards. Improvement was greatest with allergies. There was no significant change in duplicate records. CONCLUSIONS: SDQRs and feedback sessions support general practitioners and practice managers to focus on improving the recording of patient information. However, improved practice DQ, was not sufficient to meet RACGP targets. Randomised controlled studies are required to evaluate strategies to improve data quality and any associated improved safety and quality of care.
Authors: Siaw-Teng Liaw; Jason Guan Nan Guo; Sameera Ansari; Jitendra Jonnagaddala; Myron Anthony Godinho; Alder Jose Borelli; Simon de Lusignan; Daniel Capurro; Harshana Liyanage; Navreet Bhattal; Vicki Bennett; Jaclyn Chan; Michael G Kahn Journal: J Am Med Inform Assoc Date: 2021-07-14 Impact factor: 4.497
Authors: John D D'Amore; Chun Li; Laura McCrary; Jonathan M Niloff; Dean F Sittig; Allison B McCoy; Adam Wright Journal: Appl Clin Inform Date: 2018-06-13 Impact factor: 2.342