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...
Main Authors: | , , , |
---|---|
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 |