Designing a data set for postpartum recall registry of women with gestational diabetes in recent pregnancy and its implementation in Iranian urban health centers.
Data set
Gestational diabetes mellitus
Health centers
Registry
Journal
Diabetes & metabolic syndrome
ISSN: 1878-0334
Titre abrégé: Diabetes Metab Syndr
Pays: Netherlands
ID NLM: 101462250
Informations de publication
Date de publication:
Historique:
received:
20
10
2020
revised:
13
11
2020
accepted:
20
11
2020
pubmed:
4
12
2020
medline:
6
11
2021
entrez:
3
12
2020
Statut:
ppublish
Résumé
Gestational diabetes has serious short and long-term consequences for both mother and child. Designing a standard data set and implementing a recall registry system provides opportunities for early interventions in women with a history of gestational diabetes. The present study aims to draft a data set for the gestational diabetes recall registry and its establishment in urban health centers. To design a data set for gestational diabetes postpartum recall registry a qualitative study has been done from April to June of 2019. In this stage, Information need assessment, Identification of data elements, development of registry software, and field-testing were done. Web-based software was designed in NET language and using a Visual Studio programming environment. Implementation of the postpartum recall registry was started in 6 health centers of Ahvaz city from August 2019. During six months 163 women with gestational diabetes in current pregnancy were registered. The final data set for the postpartum recall registry included six main groups, 23 subclasses, and 188 data elements. Mandatory data were included 115 elements. A data set was finalized using a standard method and implemented in urban health centers for six months. Implementing a postpartum registry with standard elements can help manage data and plan for future interventions to reduce modifiable risk factors in this population.
Sections du résumé
BACKGROUND AND AIMS
OBJECTIVE
Gestational diabetes has serious short and long-term consequences for both mother and child. Designing a standard data set and implementing a recall registry system provides opportunities for early interventions in women with a history of gestational diabetes. The present study aims to draft a data set for the gestational diabetes recall registry and its establishment in urban health centers.
METHODS
METHODS
To design a data set for gestational diabetes postpartum recall registry a qualitative study has been done from April to June of 2019. In this stage, Information need assessment, Identification of data elements, development of registry software, and field-testing were done. Web-based software was designed in NET language and using a Visual Studio programming environment. Implementation of the postpartum recall registry was started in 6 health centers of Ahvaz city from August 2019.
RESULTS
RESULTS
During six months 163 women with gestational diabetes in current pregnancy were registered. The final data set for the postpartum recall registry included six main groups, 23 subclasses, and 188 data elements. Mandatory data were included 115 elements.
CONCLUSION
CONCLUSIONS
A data set was finalized using a standard method and implemented in urban health centers for six months. Implementing a postpartum registry with standard elements can help manage data and plan for future interventions to reduce modifiable risk factors in this population.
Identifiants
pubmed: 33271466
pii: S1871-4021(20)30483-5
doi: 10.1016/j.dsx.2020.11.018
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-6Informations de copyright
Copyright © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest We have no conflict of interest to declare