Access to Family Planning Services Following Natural Disasters and Pandemics: A Review of the English Literature.

BACKGROUND: When natural disasters strike, there is a sudden decrease in access to care due to infrastructure loss and displacement. A pandemic has the similar ability to acutely limit access to care. The relationship between decreased access to care and natural disasters has been previously explored. OBJECTIVE: The purpose of this article is to present a focused review of the available and emerging literature regarding the overall impact of natural disasters and pandemics on unintended pregnancy and decreased care in this setting. METHODS: A literature search was conducted on PubMed, Cochrane, Google Scholar, and Embase databases. The search was restricted to studies that were population-based, prospective or retrospective. Only peer-reviewed articles were considered. The search was further restricted to manuscripts in English or officially translated manuscripts. All qualifying papers from which data were extracted were subjected to a quality assessment conducted by two independent investigators (SK and AA). Each investigator reviewed all nine papers relevant to data collection using the Effective Public Health Practice Project (EPHP). MeSH terms were utilized across various databases. Studies were selected that were population-based, prospective or retrospective. Case reports and case series were not used. The primary outcomes were the rates of unintended pregnancy. Secondary outcomes included the use of contraception, short interval pregnancy, and access to reproductive services. RESULTS: An initial search yielded 74 papers, of which nine papers were reviewed for qualitative data, examining the subjects affected by natural disasters or pandemics. An additional two papers regarding theoretical data and COVID-19 were analyzed. Although there seems to be a rise in unintended pregnancy and more difficulty accessing care following natural disasters and pandemics, there are variations in the rates based on region and event. CONCLUSIONS: The full effects of the COVID-19 pandemic on the rates of unplanned pregnancies will become apparent in the months and years to come. As obstetrician-gynecologists, we must communicate openly with our patients regarding the use of available contraception, sexual education, and family planning services at times of natural disasters and pandemics.

Use of Machine Learning to Identify Clinical Variables in Pregnant and Non-Pregnant Women with SARS-CoV-2 Infection.

OBJECTIVE: The aim of the study is to identify the important clinical variables found in both pregnant and non-pregnant women who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, using an artificial intelligence (AI) platform. METHODS: This was a retrospective cohort study of all women between the ages of 18 to 45, who were admitted to Maimonides Medical Center between March 10, 2020 and December 20, 2021. Patients were included if they had nasopharyngeal PCR swab positive for SARS-CoV-2. Safe People Artificial Intelligence (SPAI) platform, developed by Gynisus, Inc., was used to identify key clinical variables predicting a positive test in pregnant and non-pregnant women. A list of mathematically important clinical variables was generated for both non-pregnant and pregnant women. RESULTS: Positive results were obtained in 1,935 non-pregnant women and 1,909 non-pregnant women tested negative for SARS-CoV-2 infection. Among pregnant women, 280 tested positive, and 1,000 tested negative. The most important clinical variable to predict a positive swab result in non-pregnant women was age, while elevated D-dimer levels and presence of an abnormal fetal heart rate pattern were the most important clinical variable in pregnant women to predict a positive test. CONCLUSION: In an attempt to better understand the natural history of the SARS-CoV-2 infection we present a side-by-side analysis of clinical variables found in pregnant and non-pregnant women who tested positive for COVID-19. These clinical variables can help stratify and highlight those at risk for SARS-CoV-2 infection and shed light on the individual patient risk for testing positive.

Access to Family Planning Services Following Natural Disasters and Pandemics: A Review of the English Literature

Background: When natural disasters strike, there is a sudden decrease in access to care due to infrastructure loss and displacement. A pandemic has the similar ability to acutely limit access to care. The relationship between decreased access to care and natural disasters has been previously explored. Objective: The purpose of this article is to present a focused review of the available and emerging literature regarding the overall impact of natural disasters and pandemics on unintended pregnancy and decreased care in this setting. Methods: A literature search was conducted on PubMed, Cochrane, Google Scholar, and Embase databases. The search was restricted to studies that were population-based, prospective or retrospective. Only peer-reviewed articles were considered. The search was further restricted to manuscripts in English or officially translated manuscripts. All qualifying papers from which data were extracted were subjected to a quality assessment conducted by two independent investigators (SK and AA). Each investigator reviewed all nine papers relevant to data collection using the Effective Public Health Practice Project (EPHP). MeSH terms were utilized across various databases. Studies were selected that were population-based, prospective or retrospective. Case reports and case series were not used. The primary outcomes were the rates of unintended pregnancy. Secondary outcomes included the use of contraception, short interval pregnancy, and access to reproductive services. Results: An initial search yielded 74 papers, of which nine papers were reviewed for qualitative data, examining the subjects affected by natural disasters or pandemics. An additional two papers regarding theoretical data and COVID-19 were analyzed. Although there seems to be a rise in unintended pregnancy and more difficulty accessing care following natural disasters and pandemics, there are variations in the rates based on region and event. Conclusions: The full effects of the COVID-19 pandemic on the rates of unplanned pregnancies will become apparent in the months and years to come. As obstetrician-gynecologists, we must communicate openly with our patients regarding the use of available contraception, sexual education, and family planning services at times of natural disasters and pandemics.