Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records

Abstract Objective: This paper reports on the logistics of conducting a validation study of a routinely collected dataset against medical records at hospitals to inform planning of similar studies. Method: A stratified random sample of 15 hospitals and two homebirth practitioners was included. Site...

Full description

Bibliographic Details
Main Authors: Margaret Flood, Wendy Pollock, Susan McDonald, Mary‐Ann Davey
Format: Article
Language:English
Published: Wiley 2016-10-01
Series:Australian and New Zealand Journal of Public Health
Subjects:
Online Access:https://doi.org/10.1111/1753-6405.12531
id doaj-aa95951d8cc24beb86a3d1866356e9a2
record_format Article
spelling doaj-aa95951d8cc24beb86a3d1866356e9a22020-11-25T00:14:29ZengWileyAustralian and New Zealand Journal of Public Health1326-02001753-64052016-10-0140544845010.1111/1753-6405.12531Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical recordsMargaret Flood0Wendy Pollock1Susan McDonald2Mary‐Ann Davey3Judith Lumley Centre La Trobe University VictoriaSchool of Nursing and Midwifery La Trobe University VictoriaSchool of Nursing and Midwifery La Trobe University VictoriaJudith Lumley Centre La Trobe University VictoriaAbstract Objective: This paper reports on the logistics of conducting a validation study of a routinely collected dataset against medical records at hospitals to inform planning of similar studies. Method: A stratified random sample of 15 hospitals and two homebirth practitioners was included. Site visits were arranged following consent. In addition to the validation of perinatal data, information was collected regarding logistics. Results: Records at 14 metropolitan and rural hospitals up to 500 km from the research centre, and two homebirth practitioners, were audited. Obtaining consent to participate took between 5 days and 10 months. Auditors visited sites on 101 days, auditing 737 medical record pairs at 16 sites. Median audit time per record was 51.3 minutes; electronic records each took 36 minutes longer than paper. Travel time accounted for nearly one‐quarter of audit time. Conclusions: Delays obtaining consents, long travel times and electronic records prolonged audit duration and expense. Employment of experts maximised use of available audit time. Conducting a validation study is a time‐consuming and expensive exercise; however, confidence in the accuracy of public health data is vital. Implications: Validation studies are unquestionably important. Three alternative strategies have been proposed to make future studies viable.https://doi.org/10.1111/1753-6405.12531auditmonitoringperinatal datavalidation
collection DOAJ
language English
format Article
sources DOAJ
author Margaret Flood
Wendy Pollock
Susan McDonald
Mary‐Ann Davey
spellingShingle Margaret Flood
Wendy Pollock
Susan McDonald
Mary‐Ann Davey
Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
Australian and New Zealand Journal of Public Health
audit
monitoring
perinatal data
validation
author_facet Margaret Flood
Wendy Pollock
Susan McDonald
Mary‐Ann Davey
author_sort Margaret Flood
title Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
title_short Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
title_full Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
title_fullStr Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
title_full_unstemmed Trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
title_sort trams, trains, planes and automobiles: logistics of conducting a statewide audit of medical records
publisher Wiley
series Australian and New Zealand Journal of Public Health
issn 1326-0200
1753-6405
publishDate 2016-10-01
description Abstract Objective: This paper reports on the logistics of conducting a validation study of a routinely collected dataset against medical records at hospitals to inform planning of similar studies. Method: A stratified random sample of 15 hospitals and two homebirth practitioners was included. Site visits were arranged following consent. In addition to the validation of perinatal data, information was collected regarding logistics. Results: Records at 14 metropolitan and rural hospitals up to 500 km from the research centre, and two homebirth practitioners, were audited. Obtaining consent to participate took between 5 days and 10 months. Auditors visited sites on 101 days, auditing 737 medical record pairs at 16 sites. Median audit time per record was 51.3 minutes; electronic records each took 36 minutes longer than paper. Travel time accounted for nearly one‐quarter of audit time. Conclusions: Delays obtaining consents, long travel times and electronic records prolonged audit duration and expense. Employment of experts maximised use of available audit time. Conducting a validation study is a time‐consuming and expensive exercise; however, confidence in the accuracy of public health data is vital. Implications: Validation studies are unquestionably important. Three alternative strategies have been proposed to make future studies viable.
topic audit
monitoring
perinatal data
validation
url https://doi.org/10.1111/1753-6405.12531
work_keys_str_mv AT margaretflood tramstrainsplanesandautomobileslogisticsofconductingastatewideauditofmedicalrecords
AT wendypollock tramstrainsplanesandautomobileslogisticsofconductingastatewideauditofmedicalrecords
AT susanmcdonald tramstrainsplanesandautomobileslogisticsofconductingastatewideauditofmedicalrecords
AT maryanndavey tramstrainsplanesandautomobileslogisticsofconductingastatewideauditofmedicalrecords
_version_ 1725390096966877184