Odette Taylor: Health Information Manager, Victorian Perinatal Data Collection Unit, Department of Human Services

2008 ◽  
Vol 37 (3) ◽  
pp. 58-60 ◽  
Author(s):  
Odette Taylor
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mabel Berrueta ◽  
◽  
Agustin Ciapponi ◽  
Ariel Bardach ◽  
Federico Rodriguez Cairoli ◽  
...  

Abstract Background Most post-licensure vaccine pharmacovigilance in low- and middle-income countries (LMICs) are passive reporting systems. These have limited utility for maternal immunization pharmacovigilance in LMIC settings and need to be supplemented with active surveillance. Our study’s main objective was to identify existing perinatal data collection systems in LMICs that collect individual information on maternal and neonatal health outcomes and could be developed to inform active safety surveillance of novel vaccines for use during pregnancy. Methods A scoping review was performed following the Arksey and O’Malley six-stage approach. We included studies describing electronic or mixed paper-electronic data collection systems in LMICs, including research networks, electronic medical records, and custom software platforms for health information systems. Medline PubMed, EMBASE, Global Health, Cochrane Library, LILACS, Bibliography of Asian Studies (BAS), and CINAHL were searched through August 2019. We also searched grey literature including through Google and websites of existing relevant perinatal data collection systems, as well as contacted authors of key studies and experts in the field to validate the information and identify additional sources of relevant unpublished information. Results A total of 11,817 records were identified. The full texts of 264 records describing 96 data collection systems were assessed for eligibility. Eight perinatal data collection systems met our inclusion criteria: Global Network’s Maternal Newborn Health Registry, International Network for the Demographic Evaluation of Populations and their Health; Perinatal Informatic System; Pregnancy Exposure Registry & Birth Defects Surveillance; SmartCare; Open Medical Record System; Open Smart Register Platform and District Health Information Software 2. These selected systems were qualitatively characterized according to seven different domains: governance; system design; system management; data management; data sources, outcomes and data quality. Conclusion This review provides a list of active maternal and neonatal data collection systems in LMICs and their characteristics as well as their outreach, strengths, and limitations. Findings could potentially help further understand where to obtain population-based high-quality information on outcomes to inform the conduct of maternal immunization active vaccine safety surveillance activities and research in LMICs.


1997 ◽  
Vol 27 (2) ◽  
pp. 67-68 ◽  
Author(s):  
Merilyn Riley ◽  
Odette Griffin

The Victorian Perinatal Data Collection Unit (VPDCU) is a statewide data collection established to collect information on the health of mothers and their babies. A Perinatal Morbidity Statistics Form is required to be completed for every birth, then forwarded to the VPDCU. Many medical record departments are responsible for both forwarding the forms to the VPDCU and responding to queries on data accuracy. In 1996 we undertook to determine if we were receiving a perinatal form for every birth occurring at every hospital in the State with obstetric beds. Health information managers were requested to supply a listing of all babies born at their hospitals in 1995 — 129 hospitals responded. Overall 62,759 births were validated. The VPDCU had received a perinatal form for 99.6 per cent of these births, with 251 missing forms. Reasons why the VPDCU had not received the forms were investigated.


1994 ◽  
Vol 24 (2) ◽  
pp. 55-57 ◽  
Author(s):  
Tina Magennis

The Uniform Data Set for Medical Rehabilitation (UDS) can be used to measure the effectiveness of rehabilitation programs. This article outlines potential applications of the UDS and the role of the health information manager (HIM) in managing data collection. HIMs can assist in the design of data collection systems which will provide data which are of high quality. The HIM can also assist in the production and interpretation of reports.


2021 ◽  
Author(s):  
Mabel Berrueta ◽  
Agustin Ciapponi ◽  
Ariel Bardach ◽  
Federico Rodriguez Cairoli ◽  
Fabricio J. Castellano ◽  
...  

Abstract Background Most post-licensure vaccine pharmacovigilance in low- and middle-income countries (LMICs) are passive reporting systems. These have limited utility for maternal immunization pharmacovigilance in LMIC settings and need to be supplemented with active surveillance. Our study's main objective was to identify existing perinatal data collection systems in LMICs that collect individual information on maternal and neonatal health outcomes and could be developed to inform active safety surveillance of novel vaccines for use during pregnancy. Methods A scoping review was performed following the Arksey and O’Malley five-stage approach. We included studies describing electronic or mixed paper-electronic data collection systems in LMICs, including research networks, electronic medical records, and custom software platforms for health information systems. Medline PubMed, EMBASE, Global Health, Cochrane Library, LILACS, Bibliography of Asian Studies (BAS), and CINAHL were searched through August 2019. We also searched grey literature including through Google and websites of existing relevant perinatal data collection systems, as well as contacted authors of key studies and experts in the field to validate the information and identify additional sources of relevant unpublished information. Results A total of 11,817 records were identified. The full texts of 264 records describing 96 data collection systems were assessed for eligibility. Eight perinatal data collection systems met our inclusion criteria: Global Network’s Maternal Newborn Health Registry, International Network for the Demographic Evaluation of Populations and their Health; Perinatal Informatic System; Pregnancy Exposure Registry & Birth Defects Surveillance; SmartCare; Open Medical Record System; Open Smart Register Platform and District Health Information Software 2. These selected systems were qualitatively characterized according to seven different domains: governance; system design; system management; data management; data sources, outcomes and data quality. Conclusion This review provides a list of active maternal and neonatal data collection systems in LMICs and their characteristics as well as their outreach, strengths, and limitations. Findings could potentially help further understand where to obtain population-based high-quality information on outcomes to inform the conduct of maternal immunization active vaccine safety surveillance activities and research in LMICs.


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