LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,149
تعداد مقالات10,518
تعداد مشاهده مقاله45,416,405
تعداد دریافت فایل اصل مقاله11,292,466
Pahlevanynejad, Shahrbanoo, Danaee, Navid, Safdari, Reza. (1403). A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research. سامانه مدیریت نشریات علمی, 14(2), 183-198. doi: 10.31661/jbpe.v0i0.2105-1345
Shahrbanoo Pahlevanynejad; Navid Danaee; Reza Safdari. "A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research". سامانه مدیریت نشریات علمی, 14, 2, 1403, 183-198. doi: 10.31661/jbpe.v0i0.2105-1345
Pahlevanynejad, Shahrbanoo, Danaee, Navid, Safdari, Reza. (1403). 'A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research', سامانه مدیریت نشریات علمی, 14(2), pp. 183-198. doi: 10.31661/jbpe.v0i0.2105-1345
Pahlevanynejad, Shahrbanoo, Danaee, Navid, Safdari, Reza. A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research. سامانه مدیریت نشریات علمی, 1403; 14(2): 183-198. doi: 10.31661/jbpe.v0i0.2105-1345

A Framework for Neonatal Prematurity Information System Development Based on a Systematic Review on Current Registries: An Original Research

Journal of Biomedical Physics and Engineering
دوره 14، شماره 2، تیر 2024، صفحه 183-198    اصل مقاله (2.43 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2105-1345
نویسندگان
Shahrbanoo Pahlevanynejad1، 2؛ Navid Danaee3؛ Reza Safdari* 4
1Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
2Department of Health Information Technology, Sorkheh School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran
3Department of Pediatric, Semnan University of Medical Sciences, Semnan, Iran
4Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
چکیده
Background: Registries are regarded as a just valuable fount of data on determining neonates suffering prematurity or low birth weight (LBW), ameliorating provided care, and developing studies.
Objective: This study aimed to probe the studies, including premature infants’ registries, adapt the needed minimum data set, and provide an offered framework for premature infants’ registries.
Material and Methods: For this descriptive study, electronic databases including PubMed, Scopus, Web of Science, ProQuest, and Embase/Medline were searched. In addition, a review of gray literature was undertaken to identify relevant studies in English on current registries and databases. Screening of titles, abstracts, and full texts was conducted independently based on PRISMA guidelines. The basic registry information, scope, registry type, data source, the purpose of the registry, and important variables were extracted and analyzed.
Results: Fifty-six papers were qualified and contained in the process that presented 51 systems and databases linked in prematurity at the popular and government levels in 34 countries from 1963 to 2017. As a central model of the information management system and knowledge management, a prematurity registry framework was offered based on data, information, and knowledge structure. 
Conclusion: To the best of our knowledge, this is a comprehensive study that has systematically reviewed prematurity-related registries. Since there are international standards to develop new registries, the proposed framework in this article can be beneficial too. This framework is essential not only to facilitate the prematurity registry design but also to help the collection of high-value clinical data necessary for the acquisition of better clinical knowledge.

تازه های تحقیق

Shahrbanoo Pahlevanynejad (Google Scholar)

کلیدواژه‌ها
Premature Birth؛ Systematic Review؛ Registries؛ Information Systems؛ Newborn and Neonatal؛ Computer Systems Development
سایر فایل های مرتبط با مقاله
مراجع
  1. Marcdante K, Kliegman RM. Nelson Essentials of Pediatrics-E-Book. First South Asia Edition. Elsevier Health Sciences; 2016.
  2. Eshraghian M, Abolghasemi J, Ghafari J, Rajai S. The effects of risk factor of pregnancy period on infant’s weight. Journal of Inflammatory Diseases. 2008;11(4):60-5.
  3. Safdari R, Rahmanian M. Identification of information elements for preeclampsia android-based self-management application. Journal of Payavard Salamat. 2019;12(6):476-87.
  4. Wu Y, Ma Y, Wu K, Zhao W, Hu H, Yang Q, et al. 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. 2019;33(6):475-81. doi: 10.1038/s41371-018-0150-2. PubMed PMID: 30631132.
  5. Mosayebi Z, Fakhraee H, Movahedian AH. Prevalence and risk factors of low birth weight infants in Mahdieh hospital, Tehran. 2004,8(2):58-67.
  6. Gunjak M, Morty RE. World Prematurity Day 2020: “Together for babies born too soon-Caring for the future”. Am J Physiol Lung Cell Mol Physiol. 2020;319(5):L875-8. doi: 10.1152/ajplung.00482.2020. PubMed PMID: 33050743.
  7. Lincetto O, Banerjee A. 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. 2020;319(5):L871-4. doi: 10.1152/ajplung.00479.2020. PubMed PMID: 33050711.
  8. 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. Journal of Pediatrics Review. 2022;10(1):17-28.
  9. Kramer MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bull World Health Organ. 1987;65(5):663-737. PubMed PMID: 3322602. PubMed PMCID: PMC2491072.
  10. Ro A, Goldberg RE, Kane JB. Racial and Ethnic Patterning of Low Birth Weight, Normal Birth Weight, and Macrosomia. Prev Med. 2019;118:196-204. doi: 10.1016/j.ypmed.2018.10.012. PubMed PMID: 30342108. PubMed PMCID: PMC6596993.
  11. Clements E, Schlichting LE, Clyne A, Vivier PM. Underlying Causes and Distribution of Infant Mortality in a Statewide Assessment from 2005 to 2016 by Infant, Maternal, and Neighborhood Characteristics. R I Med J (2013). 2019;102(9):15-22. PubMed PMID: 31675781.
  12. Mohammadzadeh N, Khenarinezhad S, Ghazanfarisavadkoohi E, Safari MS, Pahlevanynejad S. Evaluation of M-Health Applications Use in Epilepsy: A Systematic Review. Iran J Public Health. 2021;50(3):459-69. doi: 10.18502/ijph.v50i3.5586. PubMed PMID: 34178793. PubMed PMCID: PMC8214595.
  13. Sligo J, Gauld R, Roberts V, Villa L. A literature review for large-scale health information system project planning, implementation and evaluation. Int J Med Inform. 2017;97:86-97. doi: 10.1016/j.ijmedinf.2016.09.007. PubMed PMID: 27919399.
  14. Hussain M, Latif M. Clinical Decision Support System for Mother and Child Health. 2014 [Accessed 14 April 2014]. Available from: http://umeedsey.org/Web/downloads/CDSS_for_Mother_and_Child_Health.pdf.
  15. Mahdizadeh J, Pahlevanynejad S, Kahouei M, Valinejadi A. Challenges and Opportunities of Using the National Electronic Health Record from the Perspective of Iranian Nursing Staff. On-Line Journal of Nursing Informatics. 2022;26(1).
  16. Safdari R, Rampisheh Z, Kameli ME. The need to design infertility registry in Iran (REVIEW ARTICLE). Journal of Medicine and Spiritual Cultivation. 2017;25(3):119-28.
  17. Rezaei P, Ahmadi M, Sadogh F. A study on content, structure & nomenclature standard of electronic health record in selected organization & suggested a patern for Iran. J Health Adm. 2007;10(29):55-64.
  18. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. J Clin Epidemiol. 2021;134:103-12. doi: 10.1016/j.jclinepi.2021.02.003. PubMed PMID: 33577987.
  19. McGuinness LA, Higgins JPT. Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 2021;12(1):55-61. doi: 10.1002/jrsm.1411. PubMed PMID: 32336025.
  20. Minozzi S, Cinquini M, Gianola S, Gonzalez-Lorenzo M, Banzi R. The revised Cochrane risk of bias tool for randomized trials (RoB 2) showed low interrater reliability and challenges in its application. J Clin Epidemiol. 2020;126:37-44. doi: 10.1016/j.jclinepi.2020.06.015. PubMed PMID: 32562833.
  21. Dott MM, Orakail N, Ebadi H, Hernandez F, MacFarlane K, Riley PL, Prepas R, McCarthy BJ. Implementing a facility-based maternal and perinatal health care surveillance system in Afghanistan. J Midwifery Womens Health. 2005;50(4):296-300. doi: 10.1016/j.jmwh.2005.02.013. PubMed PMID: 15973266.
  22. MacDorman MF, Gregory EC. Fetal and Perinatal Mortality: United States, 2013. Natl Vital Stat Rep. 2015;64(8):1-24. PubMed PMID: 26222771.
  23. Sunderam S, Kissin DM, Zhang Y, Jewett A, Boulet SL, Warner L, et al. Assisted Reproductive Technology Surveillance - United States, 2017. MMWR Surveill Summ. 2020;69(9):1-20. doi: 10.15585/mmwr.ss6909a1. PubMed PMID: 33332294. PubMed PMCID: PMC7755269.
  24. ElHassan NO, Bird TM, King AJ, Ambadwar PB, Jaquiss RD, Kaiser JR, Robbins JM. Variation and comparative effectiveness of patent ductus arteriosus pharmacotherapy in extremely low birth weight infants. J Neonatal Perinatal Med. 2014;7(3):229-35. doi: 10.3233/NPM-14814015. PubMed PMID: 25322995.
  25. Hofstetter AM, Jacobson EN, DeHart MP, Englund JA. Early Childhood Vaccination Status of Preterm Infants. 2019;144(3):e20183520. doi: 10.1542/peds.2018-3520. PubMed PMID: 31391213.
  26. Jackson ML, Henrikson NB, Grossman DC. Evaluating Washington State’s immunization information system as a research tool. Acad Pediatr. 2014;14(1):71-6. doi: 10.1016/j.acap.2013.10.002. PubMed PMID: 24369871.
  27. Rios DR, Moffett BS, Kaiser JR. Trends in pharmacotherapy for neonatal hypotension. J Pediatr. 2014;165(4):697-701. doi: 10.1016/j.jpeds.2014.06.009. PubMed PMID: 25039051.
  28. Tucker CM, Berrien K, Menard MK, Herring AH, Daniels J, Rowley DL, Halpern CT. Predicting Preterm Birth Among Women Screened by North Carolina’s Pregnancy Medical Home Program. Matern Child Health J. 2015;19(11):2438-52. doi: 10.1007/s10995-015-1763-5. PubMed PMID: 26112751. PubMed PMCID: PMC4764378.
  29. Mignini LE, Carroli G, Betran AP, Fescina R, Cuesta C, Campodonico L, et al. Interpregnancy interval and perinatal outcomes across Latin America from 1990 to 2009: a large multi-country study. BJOG. 2016;123(5):730-7. doi: 10.1111/1471-0528.13625. PubMed PMID: 26399217. PubMed PMCID: PMC4949506.
  30. Bogale TN, Worku AG, Bikis GA, Kebede ZT. Why gone too soon? Examining social determinants of neonatal deaths in northwest Ethiopia using the three delay model approach. BMC Pediatr. 2017;17(1):216. doi: 10.1186/s12887-017-0967-9. PubMed PMID: 29282018. PubMed PMCID: PMC5745914.
  31. Chiavarini M, Bartolucci F, Gili A, Pieroni L, Minelli L. Effects of individual and social factors on preterm birth and low birth weight: empirical evidence from regional data in Italy. Int J Public Health. 2012;57(2):261-8. doi: 10.1007/s00038-011-0311-3. PubMed PMID: 22009490.
  32. Minelli L, Pasquini R, Chiavarini M. Copia esclusiva per: Prof. Liliana Minelli. Ann Ig. 2015;27:539-45.
  33. Hanifi SM, Mahmood SS, Bhuiya A. Cause-specific mortality and socioeconomic status in Chakaria, Bangladesh. Glob Health Action. 2014;7:25473. doi: 10.3402/gha.v7.25473. PubMed PMID: 25377331. PubMed PMCID: PMC4220129.
  34. Dou L, Wang X, Wang F, Wang Q, Qiao Y, Su M, et al. Epidemic Profile of Maternal Syphilis in China in 2013. Biomed Res Int. 2016;2016:9194805. doi: 10.1155/2016/9194805. PubMed PMID: 26981537. PubMed PMCID: PMC4766319.
  35. Yang R, Liang S, Flick LH, Yang S, Hu K, Wang J, et al. Relationship Between Common Mental Disorder Symptoms During Pregnancy and Preterm Birth Among Chinese Women in Wuhan. Matern Child Health J. 2016;20(10):2121-9. doi: 10.1007/s10995-016-2042-9. PubMed PMID: 27352288.
  36. Guo Y, Liu Y, He JR, Xia XY, Mo WJ, Wang P, et aL. Changes in birth weight between 2002 and 2012 in Guangzhou, China. PLoS One. 2014;9(12):e115703. doi: 10.1371/journal.pone.0115703. PubMed PMID: 25531295. PubMed PMCID: PMC4274089.
  37. Murray SR, Juodakis J, Bacelis J, Sand A, Norman JE, Sengpiel V, Jacobsson B. Geographical differences in preterm delivery rates in Sweden: A population-based cohort study. Acta Obstet Gynecol Scand. 2019;98(1):106-16. doi: 10.1111/aogs.13455. PubMed PMID: 30169899. PubMed PMCID: PMC6492021.
  38. Ancel P-Y, Goffinet F, Kuhn P, Langer B, Matis J, Hernandorena X, et al. Survival and morbidity of preterm children born at 22 through 34 weeks’ gestation in France in 2011: results of the EPIPAGE-2 cohort study. JAMA Pediatr. 2015;169(3):230-8. doi: 10.1001/jamapediatrics.2014.3351. PubMed PMID: 25621457.
  39. Germany L, Saurel-Cubizolles MJ, Ehlinger V, Napoletano A, Alberge C, Guyard-Boileau B, et al. Social context of preterm delivery in France in 2011 and impact on short-term health outcomes: the EPIPAGE 2 cohort study. Paediatr Perinat Epidemiol. 2015;29(3):184-95. doi: 10.1111/ppe.12189. PubMed PMID: 25847031.
  40. Tosello B, Garbi A, Blanc J, Lorthe E, Foix-L’Hélias L, D’Ercole C, et al. The impact of chorionicity on pregnancy outcome and neurodevelopment at 2 years old among twins born preterm: the EPIPAGE-2 cohort study. BJOG. 2021;128(2):281-91. doi: 10.1111/1471-0528.16170. PubMed PMID: 32048439.
  41. Shah PS, McDonald SD, Barrett J, Synnes A, Robson K, Foster J, et al. The Canadian Preterm Birth Network: a study protocol for improving outcomes for preterm infants and their families. CMAJ Open. 2018;6(1):E44-9. doi: 10.9778/cmajo.20170128. PubMed PMID: 29348260. PubMed PMCID: PMC5878956.
  42. Ananth CV, Savitz DA, Luther ER, Bowes Jr WA. Preeclampsia and preterm birth subtypes in Nova Scotia, 1986 to 1992. Am J Perinatol. 1997;14(1):17-23. doi: 10.1055/s-2007-994090. PubMed PMID: 9259891.
  43. Levine LD, Gonzales GF, Tapia VL, Gasco M, Sammel MD, Srinivas SK, Ludmir J. Preterm birth risk at high altitude in Peru. Am J Obstet Gynecol. 2015;212(2):210.e1-8. doi: 10.1016/j.ajog.2014.08.024. PubMed PMID: 25173185. PubMed PMCID: PMC4312525.
  44. Valls-i-Soler A, Carnielli V, Claris O, De La Cruz Bértolo J, Halliday HL, Hallman M, et al. EuroNeoStat: a European information system on the outcomes of care for very-low-birth-weight infants. 2008;93(1):7-9. doi: 10.1159/000105519. PubMed PMID: 17630492.
  45. Madrid-Aguilar M, López-Herrera MC, Pérez-López J, Escudero-Argaluza J, Santesteban-Otazu E, Piening B, et al. Implementation of NeoKissEs in Spain: A validated surveillance system for nosocomial sepsis in very low birth weight infants. An Pediatr (Engl Ed). 2019;91(1):3-12. doi: 10.1016/j.anpedi.2018.06.020. PubMed PMID: 30262156.
  46. Pallás-Alonso CR, Loureiro B, De la Cruz Bértolo J, García P, Ginovart G, Jiménez A, et al. Spanish survey on follow-up programmes for children born very preterm. Acta Paediatr. 2019;108(6):1042-8. doi: 10.1111/apa.14647. PubMed PMID: 30447072. PubMed PMCID: PMC7586806.
  47. De Sanjose S, Roman E. Low birthweight, preterm, and small for gestational age babies in Scotland, 1981-1984. J Epidemiol Community Health. 1991;45(3):207-10. doi: 10.1136/jech.45.3.207. PMID: 1757762. PubMed PMCID: PMC1060759.
  48. Herman AA, McCarthy BJ, Bakewell JM, Ward RH, Mueller BA, Maconochie NE, et al. Data linkage methods used in maternally-linked birth and infant death surveillance data sets from the United States (Georgia, Missouri, Utah and Washington State), Israel, Norway, Scotland and Western Australia. Paediatr Perinat Epidemiol. 1997;11(S1):5-22. doi: 10.1046/j.1365-3016.11.s1.11.x. PubMed PMID: 9018711.
  49. Wrightson AS. Universal newborn hearing screening. Am Fam Physician. 2007;75(9):1349-52. PubMed PMID: 17508530.
  50. Sleutjes FCM, Parada CMGL, Carvalhaes MABL, Temer MJ. Risk factors for neonatal death in an inland region in the State of São Paulo Brazil. Cien Saude Colet. 2018;23(8):2713-20. doi: 10.1590/1413-81232018238.15142016. PubMed PMID: 30137140.
  51. Guimarães PV, Coeli CM, Cardoso RC, Medronho Rde A, Fonseca SC, Pinheiro RS. Reliability of data from a very low birth weight population in the Live Birth Information System 2005-2006. Rev Bras Epidemiol. 2012;15(4):694-704. doi: 10.1590/s1415-790x2012000400002. PubMed PMID: 23515766.
  52. Leal MDC, Szwarcwald CL, Almeida PVB, Aquino EML, Barreto ML, Barros F, Victora C. Reproductive, maternal, neonatal and child health in the 30 years since the creation of the Unified Health System (SUS). Cien Saude Colet. 2018;23(6):1915-28. doi: 10.1590/1413-81232018236.03942018. PubMed PMID: 29972499.
  53. Oliveira LL, Gonçalves Ade C, Costa JS, Bonilha AL. Maternal and neonatal factors related to prematurity. Rev Esc Enferm USP. 2016;50(3):382-9. doi: 10.1590/S0080-623420160000400002. PubMed PMID: 27556707.
  54. Arunda MO, Agardh A, Asamoah BO. Survival of low birthweight neonates in Uganda: analysis of progress between 1995 and 2011. BMC Pregnancy Childbirth. 2018;18(1):189. doi: 10.1186/s12884-018-1831-0. PubMed PMID: 29843626. PubMed PMCID: PMC5975500.
  55. Jančar N, Mihevc Ponikvar B, Tomšič S, Vrtačnik Bokal E, Korošec S. Is IVF/ICSI [corrected] an Independent Risk Factor for Spontaneous Preterm Birth in Singletons? A Population-Based Cohort Study. Biomed Res Int. 2018;2018:7124362. doi: 10.1155/2018/7124362. PubMed PMID: 30687757. PubMed PMCID: PMC6330812.
  56. Verdenik I, Pajntar M. National perinatal information system and quality assessment. Zdravniski Vestnik. 2002;71(12):761-4.
  57. Currie J, Greenstone M, Meckel K. Hydraulic fracturing and infant health: New evidence from Pennsylvania. Sci Adv. 2017;3(12):e1603021. doi: 10.1126/sciadv.1603021. PubMed PMID: 29242825. PubMed PMCID: PMC5729015.
  58. Parazzini F, Cipriani S, Bulfoni G, Bulfoni C, Bellù R, Zanini R, Mosca F. Mode of delivery and level of neonatal care in Lombardy: a descriptive analysis according to volume of care. Ital J Pediatr. 2015;41:24. doi: 10.1186/s13052-015-0129-3. PubMed PMID: 25888471. PubMed PMCID: PMC4477540.
  59. Migoto MT, Oliveira RP, Silva AMR, Freire MHS. Early neonatal mortality and risk factors: a case-control study in Paraná State. Rev Bras Enferm. 2018;71(5):2527-34. doi: 10.1590/0034-7167-2016-0586. PubMed PMID: 30304186.
  60. Mutua MK, Ochako R, Ettarh R, Ravn H, Echoka E, Mwaniki P. Effects of low birth weight on time to BCG vaccination in an urban poor settlement in Nairobi, Kenya: an observational cohort study. BMC Pediatr. 2015;15:45. doi: 10.1186/s12887-015-0360-5. PubMed PMID: 25903935. PubMed PMCID: PMC4405915.
  61. Kodkany BS, Derman RJ, Honnungar NV, Tyagi NK, Goudar SS, Mastiholi SC, et al. Establishment of a Maternal Newborn Health Registry in the Belgaum District of Karnataka, India. Reprod Health. 2015;12(Suppl 2):S3. doi: 10.1186/1742-4755-12-S2-S3. PubMed PMID: 26062791. PubMed PMCID: PMC4464217.
  62. Lazzerini M, Senanayake H, Mohamed R, Kaluarachchi A, Fernando R, Sakalasuriya A, et al. Implementation of an individual patient prospective database of hospital births in Sri Lanka and its use for improving quality of care. BMJ Open. 2019;9(2):e023706. doi: 10.1136/bmjopen-2018-023706. PubMed PMID: 30782885. PubMed PMCID: PMC6368149.
  63. Chen KH, Chen IC, Yang YC, Chen KT. The trends and associated factors of preterm deliveries from 2001 to 2011 in Taiwan. Medicine (Baltimore). 2019;98(13):e15060. doi: 10.1097/MD.0000000000015060. PubMed PMID: 30921237. PubMed PMCID: PMC6456051.
  64. Knight-Agarwal CR, Williams LT, Davis D, Davey R, Cochrane T, Zhang H, Rickwood P. Association of BMI and interpregnancy BMI change with birth outcomes in an Australian obstetric population: a retrospective cohort study. BMJ Open. 2016;6(5):e010667. doi: 10.1136/bmjopen-2015-010667. PubMed PMID: 27165646. PubMed PMCID: PMC4874127.
  65. Haried P, Claybaugh C, Dai H. Evaluation of health information systems research in information systems research: A meta-analysis. Health Informatics J. 2019;25(1):186-202. doi: 10.1177/1460458217704259. PubMed PMID: 28441893.
  66. Melin J, Heinävaara S, Malila N, Tiitinen A, Gissler M, Madanat-Harjuoja L. Risk factors for preterm delivery among early onset cancer survivors: A Finnish register-based study. Int J Cancer. 2019;144(8):1954-61. doi: 10.1002/ijc.31938. PubMed PMID: 30350857.
  67. Kc S, Hemminki E, Gissler M, Virtanen SM, Klemetti R. Correction: Perinatal outcomes after induced termination of pregnancy by methods: A nationwide register-based study of first births in Finland 1996-2013. PLoS One. 2017;12(12):e0190331. doi: 10.1371/journal.pone.0190331. PubMed PMID: 29261808. PubMed PMCID: PMC5738080.
  68. Tolia VN, Murthy K, McKinley PS, Bennett MM, Clark RH. The effect of the national shortage of vitamin A on death or chronic lung disease in extremely low-birth-weight infants. JAMA Pediatr. 2014;168(11):1039-44. doi: 10.1001/jamapediatrics.2014.1353. PubMed PMID: 25222512.
  69. Manyeh AK, Kukula V, Odonkor G, Ekey RA, Adjei A, Narh-Bana S, et al. Socioeconomic and demographic determinants of birth weight in southern rural Ghana: evidence from Dodowa Health and Demographic Surveillance System. BMC Pregnancy Childbirth. 2016;16(1):160. doi: 10.1186/s12884-016-0956-2. PubMed PMID: 27417308. PubMed PMCID: PMC4946169.
  70. Takemoto Y, Ota E, Yoneoka D, Mori R, Takeda S. Japanese secular trends in birthweight and the prevalence of low birthweight infants during the last three decades: A population-based study. Sci Rep. 2016;6:31396. doi: 10.1038/srep31396. PubMed PMID: 27503177. PubMed PMCID: PMC4977558.
  71. Yeo KT, Safi N, Wang YA, Marsney RL, Schindler T, Bolisetty S, et al. Prediction of outcomes of extremely low gestational age newborns in Australia and New Zealand. BMJ Paediatr Open. 2017;1(1):e000205. doi: 10.1136/bmjpo-2017-000205. PubMed PMID: 29637177. PubMed PMCID: PMC5862164.
  72. Moth FN, Sebastian TR, Horn J, Rich-Edwards J, Romundstad PR, Åsvold BO. Validity of a selection of pregnancy complications in the Medical Birth Registry of Norway. Acta Obstet Gynecol Scand. 2016;95(5):519-27. doi: 10.1111/aogs.12868. PubMed PMID: 26867143.
  73. Monk A, Harris K, Donnolley N, Hilder L, Humphrey M, Gordon A, et al. Perinatal deaths in Australia 1993–2012. Canberra: Australian Institute of Health and Welfare; 2016.
  74. Musa MK, Akdur G, Hanratty B, Kelly S, Gordon A, Peryer G, et al. Uptake and use of a minimum data set (MDS) for older people living and dying in care homes in England: a realist review protocol. BMJ Open. 2020;10(11):e040397. doi: 10.1136/bmjopen-2020-040397. PubMed PMID: 33191266. PubMed PMCID: PMC7668360.
  75. Gliklich RE, Leavy MB, Dreyer NA. Registry design. Registries for Evaluating Patient Outcomes: A User’s Guide. 4th edition. USA: Agency for Healthcare Research and Quality; 2020.
آمار
تعداد مشاهده مقاله: 160,826
تعداد دریافت فایل اصل مقاله: 495


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب