PMID- 28537203
OWN - NLM
STAT- MEDLINE
DCOM- 20180827
LR  - 20180827
IS  - 1833-3575 (Electronic)
IS  - 1833-3583 (Linking)
VI  - 46
IP  - 3
DP  - 2017 Sep
TI  - Data accuracy in the Victorian Perinatal Data Collection: Results of a validation 
      study of 2011 data.
PG  - 113-126
LID - 10.1177/1833358316689688 [doi]
AB  - OBJECTIVE: Public health data sets such as the Victorian Perinatal Data 
      Collection (VPDC) provide an important source for health planning, monitoring, 
      policy, research and reporting purposes. Data quality is paramount, requiring 
      periodic assessment of data accuracy. This article describes the conduct and 
      findings of a validation study of data on births in 2011 extracted from the VPDC. 
      METHOD: Data from a random sample of one percent of births in Victoria in 2011 
      were extracted from original medical records at the birth hospital and compared 
      with data held in the VPDC. Accuracy was determined for 93 variables. 
      Sensitivity, specificity, positive predictive value and negative predictive value 
      were calculated for dichotomous items. RESULTS: Accuracy of 17 data items was 99% 
      or more, the majority being neonatal and intrapartum items, and 95% or more for 
      46 items. Episodes of care with the highest proportion of items with accuracy of 
      95% or more were neonatal and postnatal items at 80 and 64%, respectively. 
      Accuracy was below 80% for nine items introduced in 2009. Agreement between 
      medical records and VPDC data ranged from 48% to 100%, the exception being two 
      highly inaccurate smoking-related items. Reasons for discrepancies between VPDC 
      data and medical records included miscoding, missing and inconsistent 
      information. CONCLUSION: This study found high levels of accuracy for data 
      reported to the VPDC for births in 2011; however, some data items introduced in 
      2009 and not previously validated were less accurate. Data may be used with 
      confidence overall and with awareness of limitations for some new items.
FAU - Flood, Margaret M
AU  - Flood MM
AD  - 1 La Trobe University, Australia.
FAU - McDonald, Susan J
AU  - McDonald SJ
AD  - 1 La Trobe University, Australia.
AD  - 2 Mercy Hospital for Women, Australia.
FAU - Pollock, Wendy E
AU  - Pollock WE
AD  - 1 La Trobe University, Australia.
AD  - 3 The University of Melbourne, Australia.
FAU - Davey, Mary-Ann
AU  - Davey MA
AD  - 1 La Trobe University, Australia.
AD  - 4 Monash University, Australia.
LA  - eng
PT  - Journal Article
DEP - 20170127
PL  - Australia
TA  - Health Inf Manag
JT  - Health information management : journal of the Health Information Management 
      Association of Australia
JID - 9438200
MH  - Adult
MH  - Data Accuracy
MH  - Data Collection/*standards
MH  - Databases, Factual/standards
MH  - Female
MH  - Humans
MH  - Infant, Newborn
MH  - Medical Records/standards
MH  - Perinatal Care/*standards
MH  - Pregnancy
MH  - Victoria
OTO - NOTNLM
OT  - Australia
OT  - data accuracy
OT  - data collection
OT  - perinatal care
OT  - quality improvement
OT  - sensitivity and specificity
OT  - validation studies
EDAT- 2017/05/26 06:00
MHDA- 2018/08/28 06:00
CRDT- 2017/05/25 06:00
PHST- 2017/05/26 06:00 [pubmed]
PHST- 2018/08/28 06:00 [medline]
PHST- 2017/05/25 06:00 [entrez]
AID - 10.1177/1833358316689688 [doi]
PST - ppublish
SO  - Health Inf Manag. 2017 Sep;46(3):113-126. doi: 10.1177/1833358316689688. Epub 
      2017 Jan 27.