Volume 10, Issue 1 (1-2022)                   J. Pediatr. Rev 2022, 10(1): 17-28 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Pahlevanynejad S, Danaei N, Kahouei M, Mirmohammadkhani M, Saffarieh E, Safdari R. Development and Validation of the Iranian Neonatal Prematurity Minimum Data Set (IMSPIMDS): A Systematic Review Using Focus Group Discussion and the Delphi Technique. J. Pediatr. Rev 2022; 10 (1) :17-28
URL: http://jpr.mazums.ac.ir/article-1-413-en.html
1- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
2- Department of Pediatric, Semnan University of Medical Sciences, Semnan, Iran.
3- Department of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
4- Department of Epidemiology and Biostatistics, Semnan University of Medical Sciences, Semnan, Iran.
5- Abnormal Uterine Bleeding Research Center, Semnan University of Medical Science, Semnan, Iran.
6- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran. , rsafdari@tums.ac.ir
Abstract:   (1862 Views)
Background: Information systems help to collect information about patients. The minimum data set (MDS) provides the basis for decision-making.
Objectives: This study was conducted to determine the comprehensive national MDS for prematurity information management system (IMSPIMDS) in Iran
Methods: This research is a cross-sectional study with three steps, including systematic review, focus group discussion, and the Delphi technique. A systematic review was conducted in relevant databases. Then, a focus group discussion was used to classify the extracted data elements by contributing specialists in various fields. Finally, MDSs were chosen through the decision Delphi technique in two rounds. Collected data were analyzed using SPSS 26.
Results: In total, 233 data elements were included in the Delphi survey. The data elements based on the experts’ opinions, were classified into two main categories, including maternal and newborn. The final data elements for maternal and newborn categories were 107 and 126.
Conclusions: The existence of a national MDS as the core of the premature newborn surveillance program is essential and leads to appropriate decisions. We developed and internally validated an MDS for prematurity studies. This study generated new knowledge to enable healthcare system professionals to collect relevant and meaningful data. The use of this standardized approach can help benchmark clinical practice and target improvements worldwide.
Full-Text [PDF 1061 kb]   (826 Downloads) |   |   Full-Text (HTML)  (2253 Views)  
Type of Study: Systematic Review | Subject: Neonatology
Received: 2021/06/17 | Accepted: 2021/11/14 | Published: 2022/01/1

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Pediatrics Review

Designed & Developed by : Yektaweb