Purnasari, Ratih Hermas
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Gender Differences in Mental Health Responses of Health Workers During the Covid-19 Pandemic: A Systematic Review with Meta-Analysis Fresna, Riyesti Hero; Atikah, Shinta Nur; Salsabila, Muna Maimunah; Pusparini, Pringga Widya; Purnasari, Ratih Hermas; Anisa, Riski; Oktaviyani, Feny; Hakim, Ruliany Yuni Nurul; Syawaludin, Muhammad Husein; Puspitasari, Syndia
Journal of Health Policy and Management Vol. 6 No. 2 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Abstract

Background: The Covid-19 pandemic caused great stress, especially for health workers which resulted in moderate or severe symptoms of depression, anxiety, insomnia, and more serious stress. Gender is very influential, given the differences in biological and social roles between men and women. Gender differences between men and women allow for variations in strategies in responding to mental health to increase awareness and self-management, so as to avoid mental health problems during the Covid-19 pandemic.Subjects and Method: Meta-analysis was performed by searching articles from Google Scholar, PubMed, Scopus, Springer Link, and health-related databases. The keywords used in the article search were "health workers" AND "covid-19" AND "mental health". The inclusion of the criteria in this study is a full-text article, from 2019-2021, with a study design cross-sectional. The article analysis was carried out using RevMan 5.3. Results: There were 5 articles analyzed, the results showed no significant difference between gender and mental health responses among health workers during the Covid-19 pandemic (aOR= 1.12; 95% CI= 0.59-2.13; p=0.01).Conclusion: Not significant between primary studies regarding gender differences in mental health responses to health workers during the Covid-19 pandemic. Keywords: health workers, covid-19, mental healthCorrespondence: Riyesti Hero Fresna, Purwantoro Special Edu­cational School. Wonogiri Regency, Central Java 57695. E-mail: riyestiherofresna01@g­mail.com. Mobile +628­1227831443.Journal of Health Policy and Management (2021), 06(02): 130-138https://doi.org/10.26911/thejhpm.2021.06.02.05
Risk of Premature Birth in Pregnant Women Infected with COVID-19: A Meta Analysis Purnasari, Ratih Hermas; Dewi, Yulia Lanti Retno; Murti, Bhisma
Journal of Maternal and Child Health Vol. 7 No. 1 (2022)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (34.183 KB) | DOI: 10.26911/thejmch.2022.07.01.03

Abstract

Background: Pregnancy is a state of great susceptibility to infectious diseases, and it is not surprising that viral infections can affect pregnancy outcomes. COVID-19 infection during pregnancy is considered a risk factor for adverse outcomes such as, preterm delivery. This study aimed to analyze the risk of preterm delivery in pregnant women with COVID-19. Subjects and Method: This study was conducted using a systematic review and meta-analysis. Article searches were conducted using electronic databases such as Google Scholar, PubMed, and Scopus. The articles used are articles published from 2020-2021. The keywords used to retrieve the articles were: [(COVID-19 OR 2019-nCoV OR “novel coronavirus” OR SARS-CoV-2 OR “coronavirus 2”) AND (“preterm birth” OR preterm OR “preterm delivery”)] . The inclusion criteria used were full paper with observational studies (retrospective or prospective cohorts), multivariate analysis with Adjusted Odd Ratios (aOR), study subjects were pregnant women who were confirmed to be infected with COVID-19, comparison were pregnant women who were negative for COVID-19, outcome study was preterm birth (<37 weeks). The article search results are listed in the PRISMA diagram and analyzed using the Review Manager 5.3 . application. Results: A total of 10 articles from Iran, France, Bangladesh, Spain, the United States, Romania, the United Kingdom and China showed that the heterogeneity of the primary studies in the meta-analysis was low (I2= 4%; p= 0.40), therefore this study used a fixed effect model. The results showed that the risk of premature birth in pregnant women infected with COVID-19 was 2.18 times that of pregnant women not infected with COVID-19 (aOR=2.18; 95% CI=2.00 to 2.37) and statistically significant (p<0.001). Conclusion: Higher risk of preterm birth in pregnant women with COVID-19.