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Design of Infertility Monitoring System: Minimum Data Set Approach

Reproductive health is vital for human and infertility is also one of the most important challenges in the reproductive system. Infertility is one of the most common chronic health disorders, regardless of age. The Minimum Data Set (MDS) helps to manage infertility by monitoring and evaluating infer...

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Autores principales: Zahmatkeshan, Maryam, Farjam, Mojtaba, Mohammadzadeh, Niloofar, Noori, Tayebeh, Karbasi, Zahra, Mahmoudvand, Zahra, Naghdi, Majid, Safdari, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Carol Davila University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527411/
https://www.ncbi.nlm.nih.gov/pubmed/31123526
http://dx.doi.org/10.25122/jml-2018-0071
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author Zahmatkeshan, Maryam
Farjam, Mojtaba
Mohammadzadeh, Niloofar
Noori, Tayebeh
Karbasi, Zahra
Mahmoudvand, Zahra
Naghdi, Majid
Safdari, Reza
author_facet Zahmatkeshan, Maryam
Farjam, Mojtaba
Mohammadzadeh, Niloofar
Noori, Tayebeh
Karbasi, Zahra
Mahmoudvand, Zahra
Naghdi, Majid
Safdari, Reza
author_sort Zahmatkeshan, Maryam
collection PubMed
description Reproductive health is vital for human and infertility is also one of the most important challenges in the reproductive system. Infertility is one of the most common chronic health disorders, regardless of age. The Minimum Data Set (MDS) helps to manage infertility by monitoring and evaluating infertility interventions based on collecting data. The development of MDS is an essential objective in order to implement an infertility monitoring system for the creation of standardized and effective data management through the provision of comprehensive and identical data elements for infertility. This is a descriptive cross-sectional study conducted in 2017. The data has been collected from infertility clinics in the world, as well as WHO, CDC, ASRM, and ESHRE reports. In order to decide on data elements, the Delphi technique was used using a questionnaire that contained data elements which were distributed among 12 experts including one reproductive endocrinology and infertility fellow, six obstetrician-gynecologists, two reproductive biologists, two urologists and one community medicine specialist using the 5 point Likert scale. The questionnaire was divided into two categories: managerial and clinical, each with 4 sections, and 60 and 940 data elements, respectively. MDS is an essential tool for evaluating the infertility process. Using this tool will provide an opportunity to develop a set of quality care criteria that can be used to ensure the quality of infertility care.
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spelling pubmed-65274112019-05-23 Design of Infertility Monitoring System: Minimum Data Set Approach Zahmatkeshan, Maryam Farjam, Mojtaba Mohammadzadeh, Niloofar Noori, Tayebeh Karbasi, Zahra Mahmoudvand, Zahra Naghdi, Majid Safdari, Reza J Med Life Original Article Reproductive health is vital for human and infertility is also one of the most important challenges in the reproductive system. Infertility is one of the most common chronic health disorders, regardless of age. The Minimum Data Set (MDS) helps to manage infertility by monitoring and evaluating infertility interventions based on collecting data. The development of MDS is an essential objective in order to implement an infertility monitoring system for the creation of standardized and effective data management through the provision of comprehensive and identical data elements for infertility. This is a descriptive cross-sectional study conducted in 2017. The data has been collected from infertility clinics in the world, as well as WHO, CDC, ASRM, and ESHRE reports. In order to decide on data elements, the Delphi technique was used using a questionnaire that contained data elements which were distributed among 12 experts including one reproductive endocrinology and infertility fellow, six obstetrician-gynecologists, two reproductive biologists, two urologists and one community medicine specialist using the 5 point Likert scale. The questionnaire was divided into two categories: managerial and clinical, each with 4 sections, and 60 and 940 data elements, respectively. MDS is an essential tool for evaluating the infertility process. Using this tool will provide an opportunity to develop a set of quality care criteria that can be used to ensure the quality of infertility care. Carol Davila University Press 2019 /pmc/articles/PMC6527411/ /pubmed/31123526 http://dx.doi.org/10.25122/jml-2018-0071 Text en ©Carol Davila University Press This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Original Article
Zahmatkeshan, Maryam
Farjam, Mojtaba
Mohammadzadeh, Niloofar
Noori, Tayebeh
Karbasi, Zahra
Mahmoudvand, Zahra
Naghdi, Majid
Safdari, Reza
Design of Infertility Monitoring System: Minimum Data Set Approach
title Design of Infertility Monitoring System: Minimum Data Set Approach
title_full Design of Infertility Monitoring System: Minimum Data Set Approach
title_fullStr Design of Infertility Monitoring System: Minimum Data Set Approach
title_full_unstemmed Design of Infertility Monitoring System: Minimum Data Set Approach
title_short Design of Infertility Monitoring System: Minimum Data Set Approach
title_sort design of infertility monitoring system: minimum data set approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527411/
https://www.ncbi.nlm.nih.gov/pubmed/31123526
http://dx.doi.org/10.25122/jml-2018-0071
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