Identification of Minimum Data Set of Neonatal Prematurity Information Management System for Iran
Abstract
No Abstract
1. Lincetto O, Banerjee A(2020). World Prematurity Day: improving survival and quality of life for millions of babies born preterm around the world. Am J Physiol Lung Cell Mol Physiol, 319(5):L871-L874.
2. Wu Y, Ma Y, Wu K, et al (2019). Blood pressure in early and mid-pregnancy and the risk of small-for-gestational-age birth: findings of a large cohort study in China. J Hum Hypertens, 33(6):475–81.
3. Simmonds EG, Jarvis SG, Henrys PA, Isaac NJB, O’Hara RB (2020). Is more data always better? A simulation study of benefits and limitations of integrated distribution models. Ecography (Cop), 43(10):1413–22.
4. Sheykhotayefeh M, Safdari R, Ghazisaeedi M , et al (2017). Development of a Minimum Data Set (MDS) for C-section anesthesia information management system (AIMS). Anesth Pain Med, 7(2):e44132.
5. Pahlevanynejad S, Danaei N, Kahouei M, et al (2022). 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, 10(1):17-28.
6. Karbasi Z, Kadivar M, Safdari R, et al (2020). Better monitoring of abused children by designing a child abuse surveillance system: Determining national child abuse minimum data set. Int J Health Plann Manage, 35(4):843–51.
2. Wu Y, Ma Y, Wu K, et al (2019). Blood pressure in early and mid-pregnancy and the risk of small-for-gestational-age birth: findings of a large cohort study in China. J Hum Hypertens, 33(6):475–81.
3. Simmonds EG, Jarvis SG, Henrys PA, Isaac NJB, O’Hara RB (2020). Is more data always better? A simulation study of benefits and limitations of integrated distribution models. Ecography (Cop), 43(10):1413–22.
4. Sheykhotayefeh M, Safdari R, Ghazisaeedi M , et al (2017). Development of a Minimum Data Set (MDS) for C-section anesthesia information management system (AIMS). Anesth Pain Med, 7(2):e44132.
5. Pahlevanynejad S, Danaei N, Kahouei M, et al (2022). 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, 10(1):17-28.
6. Karbasi Z, Kadivar M, Safdari R, et al (2020). Better monitoring of abused children by designing a child abuse surveillance system: Determining national child abuse minimum data set. Int J Health Plann Manage, 35(4):843–51.
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| Issue | Vol 52 No 1 (2023) | |
| Section | Letter to the Editor | |
| DOI | https://doi.org/10.18502/ijph.v52i1.11687 | |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Safdari R, Danaee N, Kahouei M, Mirmohammadkhani M, Pahlevanynejad S. Identification of Minimum Data Set of Neonatal Prematurity Information Management System for Iran. Iran J Public Health. 2023;52(1):210-212.
