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Development and Validation of the Neonatal Abstinence Syndrome Minimum Data Set (Nas-Mds): A Systematic Review, Focus Group Discussion, and Delphi Technique Publisher Pubmed



Zakerabasali S1, 5 ; Kadivar M2, 6 ; Safdari R1 ; Niakan Kalhori SR1 ; Mokhtaran M3 ; Karbasi Z1 ; Sayarifard A4
Authors
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Authors Affiliations
  1. 1. Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Pediatrics, Division of Neonatology, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Virtual School, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Community Based Participatory Research Center, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Health Information Management, Health Human Resources Research Center, School of Management Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
  6. 6. Deputy of Research, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Maternal-Fetal and Neonatal Medicine Published:2022


Abstract

Objectives: Neonatal abstinence syndrome (NAS) is a combination of symptoms in infants exposed to any variety of substances in utero. Information systems and registries help to collect information about these patients; however, there is always a deep gap between complete and accurate information to be collected, understood, and applied in the health care system; thus, defining a minimum data sets (MDS) as one of the primarily steps of designing a registry system is essential. The aim of this study was to develop an MDS of the registry for infants with NAS in Iran. Methods: This research is a descriptive cross-sectional study. In this study, three steps were carried out to develop the MDS including systematic review, Delphi technique, and focus group discussion. A systematic review was conducted in relevant databases to identify appropriate related data. In the second phase, a focus group discussion was used to classify the extracted data elements by contributing neonatologists. Finally, data elements were chosen through the decision Delphi technique in two distinct rounds. Collected data were analyzed using SPSS 22 (SPSS Inc., Chicago, IL). Results: By reviewing related papers and available NAS registries in other countries, 145 essential data elements were identified. They were classified into two main categories based on the eight experts’ opinions including maternal with two sections and infant with two sections. After applying two rounds of Delphi technique, the final data elements for maternal and infant categories were 42 and 31, respectively. Thus, on completion of the survey, 73 data elements were approved. Conclusion: The proposed MDS for NAS can help to store an accurate and comprehensive data, document medical records, integrate them with other information systems and registries, and communicate with other healthcare providers and healthcare centers. This MDS can contribute to the provision of high-quality care and better clinical decisions. © 2020 Informa UK Limited, trading as Taylor & Francis Group.