Armin Zareiyan , Ali Sahebi , Bayram Nejati-Zarnaqi , Reza Mosaed , Rahman Berdi Ozouni-Davaji
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To do this, reputable databases such as PubMed, Web of Science, Scopus, Embase, Google Scholar, and Science Direct were used. The random effects model was used to perform a meta-analysis of the studies. To check the heterogeneity between the studies, the I2 index was used. The publication bias of the study was evaluated using Begg's test. Data were analyzed using the STATA software.</p></div><div><h3>Results</h3><p>Primarily, 2566 studies were collected based on the initial search, from which 12 final studies were entered into the analysis. The results showed that the prevalence of PGD after natural disasters was 38.81 % (95 % CI: 24.12–53.50, I2 = 99.7 %, p = 0 < 001).</p></div><div><h3>Conclusions</h3><p>It is recommended that policies and plannings of the organizations responsible for disaster management be prepared to send specialized teams of psycho-spiritual counseling, quickly accommodate the injured, and reconstruct the damaged buildings in the shortest time possible.</p></div>","PeriodicalId":34141,"journal":{"name":"Public Health in Practice","volume":"7 ","pages":"Article 100508"},"PeriodicalIF":2.2000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666535224000454/pdfft?md5=7ef06312e1d0c8deaac174ee2e4cf5f9&pid=1-s2.0-S2666535224000454-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The prevalence of prolonged grief disorder (PGD) after the natural disasters: A systematic review and meta-analysis\",\"authors\":\"Armin Zareiyan , Ali Sahebi , Bayram Nejati-Zarnaqi , Reza Mosaed , Rahman Berdi Ozouni-Davaji\",\"doi\":\"10.1016/j.puhip.2024.100508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>The failure to detect PDG and lack of providing essential interventions accordingly can disrupt the lives of survivors of natural disasters years after the death of their loved ones. 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引用次数: 0
摘要
研究设计本研究根据系统综述和荟萃分析的首选报告项目进行。本研究旨在通过系统综述和荟萃分析来调查自然灾害后的PGD。研究设计本研究根据《系统综述和荟萃分析的首选报告项目》指南进行。方法为了重点研究自然灾害后PGD的流行情况,我们收集了截至2021年底的研究,没有时间限制。为此,我们使用了 PubMed、Web of Science、Scopus、Embase、Google Scholar 和 Science Direct 等著名数据库。研究采用随机效应模型进行荟萃分析。为了检查研究之间的异质性,使用了 I2 指数。研究的发表偏倚采用 Begg 检验进行评估。使用 STATA 软件对数据进行分析。结果表明,自然灾害发生后,PGD 的发生率为 38.81 %(95 % CI:24.12-53.50,I2 = 99.7 %,p = 0 <001)。结论建议负责灾害管理的机构制定政策和计划,准备派遣专门的心理精神咨询团队,迅速安置伤员,并在最短时间内重建受损建筑。
The prevalence of prolonged grief disorder (PGD) after the natural disasters: A systematic review and meta-analysis
Objective
The failure to detect PDG and lack of providing essential interventions accordingly can disrupt the lives of survivors of natural disasters years after the death of their loved ones. The present study aims to investigate PGD after natural disasters using a systematic review and meta-analysis.
Study design
This study was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines.
Methods
With the focus on the prevalence of PGD after natural disasters, studies conducted until the end of 2021 were collected without a time limit. To do this, reputable databases such as PubMed, Web of Science, Scopus, Embase, Google Scholar, and Science Direct were used. The random effects model was used to perform a meta-analysis of the studies. To check the heterogeneity between the studies, the I2 index was used. The publication bias of the study was evaluated using Begg's test. Data were analyzed using the STATA software.
Results
Primarily, 2566 studies were collected based on the initial search, from which 12 final studies were entered into the analysis. The results showed that the prevalence of PGD after natural disasters was 38.81 % (95 % CI: 24.12–53.50, I2 = 99.7 %, p = 0 < 001).
Conclusions
It is recommended that policies and plannings of the organizations responsible for disaster management be prepared to send specialized teams of psycho-spiritual counseling, quickly accommodate the injured, and reconstruct the damaged buildings in the shortest time possible.