Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis
This study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country. A Bayesian hierarchical meta-analysis...
Gespeichert in:
Veröffentlicht in: | International journal of health policy and management 2024-05, Vol.13, p.7931 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 7931 |
container_title | International journal of health policy and management |
container_volume | 13 |
creator | Farhadi Hassankiadeh, Roghaye Dobson, Annette Rahimi, Somayeh Jalilian, Abdollah Schmid, Volker J Mahaki, Behzad |
description | This study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country.
A Bayesian hierarchical meta-analysis (PROSPERO 2022: CRD42022331281) was performed to determine the pooled prevalence. A systematic search was conducted using Web of Science, ScienceDirect, PubMed, Iranian Research Institute for Information Science and Technology (IranDoc), Scientific Information Database (SID), and Magiran until October 4, 2023. Cross-sectional and cohort studies in both English and Persian languages, focusing on the age range of 0-10 years, were considered for the study population. The study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) Risk of Bias tool. Heterogeneity was assessed by I
and τ
statistics, and publication bias by Egger's and Begg's tests.
The meta-analysis included 62 studies, revealing an overall CHD prevalence of 2.5 per 1000 births. Over time, CHD birth prevalence in Iran has consistently increased. Spatial distribution analysis, including spatial autocorrelation and local spatial autocorrelation, indicated no spatial clustering (
=.46) or aggregation (
=.65) among Iran's provinces. Geographic disparities were significant (
=.000), with the northern and eastern regions showing the highest and lowest CHD prevalence, respectively.
The overall CHD prevalence in Iran is lower than global rates, but it continues to rise. Furthermore, there are variations in birth prevalence among different regions of Iran. Environmental, genetic, socioeconomic, and diagnostic accessibility differences are possibly involved in regional variation. The limitations like heterogeneity among studies, the potential inaccuracy of reports due to limited use of accurate diagnostic methods in some studies, and the absence of population-based models to investigate prevalence, underscore the urgent need for standardized diagnostic approaches, and the utilization of population-wide birth defect registries to accurately assess CHD prevalence in Iran. |
doi_str_mv | 10.34172/ijhpm.2024.7931 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11270618</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A807355675</galeid><sourcerecordid>A807355675</sourcerecordid><originalsourceid>FETCH-LOGICAL-c450t-c10f669605bcd5399d4c6c5e9a8f596604af802e4b4925daa6dd634803d5c7213</originalsourceid><addsrcrecordid>eNptkkFv0zAYhiMEYtPYnROyhITgkOLEcRJzQV2BdVLREIOz9dX50nhK7GK7hf4FfjVuO6ZFmnyI5TzPe3j1JsnLjE5YkVX5e33brYdJTvNiUgmWPUlOc5bnKRdMPH1wP0nOvb-llGa0yjnlz5MTJqgQnIrT5O_NGoKGnnzSPji93ARtDQHTkAvtQke-OdxCj0YhsS2ZWbNCo0Pk5wgu7C0Ej0QbcuXAfCBTcrPzAYcYqsh33Gr8fUiba3TgVKdVdC9gh16DIV8xQAoG-p3X_kXyrIXe4_nd9yz5-eXzj9k8XVxfXs2mi1QVnIZUZbQtS1FSvlQNZ0I0hSoVRwF1y0VZ0gLamuZYLAuR8wagbJqSFTVlDVdVnrGz5OMxd71ZDtgoNMFBL9dOD-B20oKW4z9Gd3JltzLL8oqWWR0T3t4lOPtrgz7IQXuFfQ8G7cZLRuuac874Hn19RFexRalNa2Ok2uNyWtOKcV5WPFKTR6h4Ghy0sgZbHd9HwruREJmAf8IKNt7L-nIxZtPHWGX7HlcoY7ez6zH_5gHfIfSh87Y_LMOPQXoElbPeO2zvO8yoPExUHiYq9xOV-4lG5dXD7u-F_4Nk_wCSguCD</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3088555358</pqid></control><display><type>article</type><title>Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Farhadi Hassankiadeh, Roghaye ; Dobson, Annette ; Rahimi, Somayeh ; Jalilian, Abdollah ; Schmid, Volker J ; Mahaki, Behzad</creator><creatorcontrib>Farhadi Hassankiadeh, Roghaye ; Dobson, Annette ; Rahimi, Somayeh ; Jalilian, Abdollah ; Schmid, Volker J ; Mahaki, Behzad</creatorcontrib><description>This study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country.
A Bayesian hierarchical meta-analysis (PROSPERO 2022: CRD42022331281) was performed to determine the pooled prevalence. A systematic search was conducted using Web of Science, ScienceDirect, PubMed, Iranian Research Institute for Information Science and Technology (IranDoc), Scientific Information Database (SID), and Magiran until October 4, 2023. Cross-sectional and cohort studies in both English and Persian languages, focusing on the age range of 0-10 years, were considered for the study population. The study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) Risk of Bias tool. Heterogeneity was assessed by I
and τ
statistics, and publication bias by Egger's and Begg's tests.
The meta-analysis included 62 studies, revealing an overall CHD prevalence of 2.5 per 1000 births. Over time, CHD birth prevalence in Iran has consistently increased. Spatial distribution analysis, including spatial autocorrelation and local spatial autocorrelation, indicated no spatial clustering (
=.46) or aggregation (
=.65) among Iran's provinces. Geographic disparities were significant (
=.000), with the northern and eastern regions showing the highest and lowest CHD prevalence, respectively.
The overall CHD prevalence in Iran is lower than global rates, but it continues to rise. Furthermore, there are variations in birth prevalence among different regions of Iran. Environmental, genetic, socioeconomic, and diagnostic accessibility differences are possibly involved in regional variation. The limitations like heterogeneity among studies, the potential inaccuracy of reports due to limited use of accurate diagnostic methods in some studies, and the absence of population-based models to investigate prevalence, underscore the urgent need for standardized diagnostic approaches, and the utilization of population-wide birth defect registries to accurately assess CHD prevalence in Iran.</description><identifier>ISSN: 2322-5939</identifier><identifier>EISSN: 2322-5939</identifier><identifier>DOI: 10.34172/ijhpm.2024.7931</identifier><identifier>PMID: 39099509</identifier><language>eng</language><publisher>Iran: Kerman University of Medical Sciences</publisher><subject>Analysis ; Bayes Theorem ; Congenital heart defects ; Congenital heart disease ; Genetic disorders ; Geospatial data ; Heart Defects, Congenital - epidemiology ; Heart diseases ; Humans ; Infant, Newborn ; Information science ; Iran - epidemiology ; Medical care ; Medical care quality ; Meta-Analysis ; Online database ; Online databases ; Prevalence ; Prevalence studies (Epidemiology) ; Quality management ; Spatial Analysis</subject><ispartof>International journal of health policy and management, 2024-05, Vol.13, p.7931</ispartof><rights>2024 The Author(s); Published by Kerman University of Medical Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>COPYRIGHT 2024 Kerman University of Medical Sciences</rights><rights>2024 The Author(s); Published by Kerman University of Medical Sciences 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-7062-6971 ; 0000-0003-3982-3680 ; 0009-0007-9373-6752 ; 0000-0003-2195-8130 ; 0000-0003-4956-0124 ; 0000-0002-6573-0069</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270618/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270618/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39099509$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Farhadi Hassankiadeh, Roghaye</creatorcontrib><creatorcontrib>Dobson, Annette</creatorcontrib><creatorcontrib>Rahimi, Somayeh</creatorcontrib><creatorcontrib>Jalilian, Abdollah</creatorcontrib><creatorcontrib>Schmid, Volker J</creatorcontrib><creatorcontrib>Mahaki, Behzad</creatorcontrib><title>Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis</title><title>International journal of health policy and management</title><addtitle>Int J Health Policy Manag</addtitle><description>This study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country.
A Bayesian hierarchical meta-analysis (PROSPERO 2022: CRD42022331281) was performed to determine the pooled prevalence. A systematic search was conducted using Web of Science, ScienceDirect, PubMed, Iranian Research Institute for Information Science and Technology (IranDoc), Scientific Information Database (SID), and Magiran until October 4, 2023. Cross-sectional and cohort studies in both English and Persian languages, focusing on the age range of 0-10 years, were considered for the study population. The study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) Risk of Bias tool. Heterogeneity was assessed by I
and τ
statistics, and publication bias by Egger's and Begg's tests.
The meta-analysis included 62 studies, revealing an overall CHD prevalence of 2.5 per 1000 births. Over time, CHD birth prevalence in Iran has consistently increased. Spatial distribution analysis, including spatial autocorrelation and local spatial autocorrelation, indicated no spatial clustering (
=.46) or aggregation (
=.65) among Iran's provinces. Geographic disparities were significant (
=.000), with the northern and eastern regions showing the highest and lowest CHD prevalence, respectively.
The overall CHD prevalence in Iran is lower than global rates, but it continues to rise. Furthermore, there are variations in birth prevalence among different regions of Iran. Environmental, genetic, socioeconomic, and diagnostic accessibility differences are possibly involved in regional variation. The limitations like heterogeneity among studies, the potential inaccuracy of reports due to limited use of accurate diagnostic methods in some studies, and the absence of population-based models to investigate prevalence, underscore the urgent need for standardized diagnostic approaches, and the utilization of population-wide birth defect registries to accurately assess CHD prevalence in Iran.</description><subject>Analysis</subject><subject>Bayes Theorem</subject><subject>Congenital heart defects</subject><subject>Congenital heart disease</subject><subject>Genetic disorders</subject><subject>Geospatial data</subject><subject>Heart Defects, Congenital - epidemiology</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Information science</subject><subject>Iran - epidemiology</subject><subject>Medical care</subject><subject>Medical care quality</subject><subject>Meta-Analysis</subject><subject>Online database</subject><subject>Online databases</subject><subject>Prevalence</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Quality management</subject><subject>Spatial Analysis</subject><issn>2322-5939</issn><issn>2322-5939</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkkFv0zAYhiMEYtPYnROyhITgkOLEcRJzQV2BdVLREIOz9dX50nhK7GK7hf4FfjVuO6ZFmnyI5TzPe3j1JsnLjE5YkVX5e33brYdJTvNiUgmWPUlOc5bnKRdMPH1wP0nOvb-llGa0yjnlz5MTJqgQnIrT5O_NGoKGnnzSPji93ARtDQHTkAvtQke-OdxCj0YhsS2ZWbNCo0Pk5wgu7C0Ej0QbcuXAfCBTcrPzAYcYqsh33Gr8fUiba3TgVKdVdC9gh16DIV8xQAoG-p3X_kXyrIXe4_nd9yz5-eXzj9k8XVxfXs2mi1QVnIZUZbQtS1FSvlQNZ0I0hSoVRwF1y0VZ0gLamuZYLAuR8wagbJqSFTVlDVdVnrGz5OMxd71ZDtgoNMFBL9dOD-B20oKW4z9Gd3JltzLL8oqWWR0T3t4lOPtrgz7IQXuFfQ8G7cZLRuuac874Hn19RFexRalNa2Ok2uNyWtOKcV5WPFKTR6h4Ghy0sgZbHd9HwruREJmAf8IKNt7L-nIxZtPHWGX7HlcoY7ez6zH_5gHfIfSh87Y_LMOPQXoElbPeO2zvO8yoPExUHiYq9xOV-4lG5dXD7u-F_4Nk_wCSguCD</recordid><startdate>20240507</startdate><enddate>20240507</enddate><creator>Farhadi Hassankiadeh, Roghaye</creator><creator>Dobson, Annette</creator><creator>Rahimi, Somayeh</creator><creator>Jalilian, Abdollah</creator><creator>Schmid, Volker J</creator><creator>Mahaki, Behzad</creator><general>Kerman University of Medical Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8GL</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7062-6971</orcidid><orcidid>https://orcid.org/0000-0003-3982-3680</orcidid><orcidid>https://orcid.org/0009-0007-9373-6752</orcidid><orcidid>https://orcid.org/0000-0003-2195-8130</orcidid><orcidid>https://orcid.org/0000-0003-4956-0124</orcidid><orcidid>https://orcid.org/0000-0002-6573-0069</orcidid></search><sort><creationdate>20240507</creationdate><title>Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis</title><author>Farhadi Hassankiadeh, Roghaye ; Dobson, Annette ; Rahimi, Somayeh ; Jalilian, Abdollah ; Schmid, Volker J ; Mahaki, Behzad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-c10f669605bcd5399d4c6c5e9a8f596604af802e4b4925daa6dd634803d5c7213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analysis</topic><topic>Bayes Theorem</topic><topic>Congenital heart defects</topic><topic>Congenital heart disease</topic><topic>Genetic disorders</topic><topic>Geospatial data</topic><topic>Heart Defects, Congenital - epidemiology</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Information science</topic><topic>Iran - epidemiology</topic><topic>Medical care</topic><topic>Medical care quality</topic><topic>Meta-Analysis</topic><topic>Online database</topic><topic>Online databases</topic><topic>Prevalence</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Quality management</topic><topic>Spatial Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Farhadi Hassankiadeh, Roghaye</creatorcontrib><creatorcontrib>Dobson, Annette</creatorcontrib><creatorcontrib>Rahimi, Somayeh</creatorcontrib><creatorcontrib>Jalilian, Abdollah</creatorcontrib><creatorcontrib>Schmid, Volker J</creatorcontrib><creatorcontrib>Mahaki, Behzad</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: High School</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of health policy and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Farhadi Hassankiadeh, Roghaye</au><au>Dobson, Annette</au><au>Rahimi, Somayeh</au><au>Jalilian, Abdollah</au><au>Schmid, Volker J</au><au>Mahaki, Behzad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis</atitle><jtitle>International journal of health policy and management</jtitle><addtitle>Int J Health Policy Manag</addtitle><date>2024-05-07</date><risdate>2024</risdate><volume>13</volume><spage>7931</spage><pages>7931-</pages><issn>2322-5939</issn><eissn>2322-5939</eissn><abstract>This study aimed to comprehensively analyze the overall congenital heart disease (CHD) prevalence in live births and children in Iran, along with evaluating the spatial distribution of CHD birth prevalence across various geographical regions within the country.
A Bayesian hierarchical meta-analysis (PROSPERO 2022: CRD42022331281) was performed to determine the pooled prevalence. A systematic search was conducted using Web of Science, ScienceDirect, PubMed, Iranian Research Institute for Information Science and Technology (IranDoc), Scientific Information Database (SID), and Magiran until October 4, 2023. Cross-sectional and cohort studies in both English and Persian languages, focusing on the age range of 0-10 years, were considered for the study population. The study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) Risk of Bias tool. Heterogeneity was assessed by I
and τ
statistics, and publication bias by Egger's and Begg's tests.
The meta-analysis included 62 studies, revealing an overall CHD prevalence of 2.5 per 1000 births. Over time, CHD birth prevalence in Iran has consistently increased. Spatial distribution analysis, including spatial autocorrelation and local spatial autocorrelation, indicated no spatial clustering (
=.46) or aggregation (
=.65) among Iran's provinces. Geographic disparities were significant (
=.000), with the northern and eastern regions showing the highest and lowest CHD prevalence, respectively.
The overall CHD prevalence in Iran is lower than global rates, but it continues to rise. Furthermore, there are variations in birth prevalence among different regions of Iran. Environmental, genetic, socioeconomic, and diagnostic accessibility differences are possibly involved in regional variation. The limitations like heterogeneity among studies, the potential inaccuracy of reports due to limited use of accurate diagnostic methods in some studies, and the absence of population-based models to investigate prevalence, underscore the urgent need for standardized diagnostic approaches, and the utilization of population-wide birth defect registries to accurately assess CHD prevalence in Iran.</abstract><cop>Iran</cop><pub>Kerman University of Medical Sciences</pub><pmid>39099509</pmid><doi>10.34172/ijhpm.2024.7931</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7062-6971</orcidid><orcidid>https://orcid.org/0000-0003-3982-3680</orcidid><orcidid>https://orcid.org/0009-0007-9373-6752</orcidid><orcidid>https://orcid.org/0000-0003-2195-8130</orcidid><orcidid>https://orcid.org/0000-0003-4956-0124</orcidid><orcidid>https://orcid.org/0000-0002-6573-0069</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2322-5939 |
ispartof | International journal of health policy and management, 2024-05, Vol.13, p.7931 |
issn | 2322-5939 2322-5939 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11270618 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Analysis Bayes Theorem Congenital heart defects Congenital heart disease Genetic disorders Geospatial data Heart Defects, Congenital - epidemiology Heart diseases Humans Infant, Newborn Information science Iran - epidemiology Medical care Medical care quality Meta-Analysis Online database Online databases Prevalence Prevalence studies (Epidemiology) Quality management Spatial Analysis |
title | Spatial Distribution and Birth Prevalence of Congenital Heart Disease in Iran: A Systematic Review and Hierarchical Bayesian Meta-analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T03%3A20%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatial%20Distribution%20and%20Birth%20Prevalence%20of%20Congenital%20Heart%20Disease%20in%20Iran:%20A%20Systematic%20Review%20and%20Hierarchical%20Bayesian%20Meta-analysis&rft.jtitle=International%20journal%20of%20health%20policy%20and%20management&rft.au=Farhadi%20Hassankiadeh,%20Roghaye&rft.date=2024-05-07&rft.volume=13&rft.spage=7931&rft.pages=7931-&rft.issn=2322-5939&rft.eissn=2322-5939&rft_id=info:doi/10.34172/ijhpm.2024.7931&rft_dat=%3Cgale_pubme%3EA807355675%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3088555358&rft_id=info:pmid/39099509&rft_galeid=A807355675&rfr_iscdi=true |