Objectives: To explore racial/ethnic disparities in family planning telehealth use.
Study Design: We analyzed telehealth and in-clinic visits (n = 3142) from ten family planning clinics (April 1-July 31, 2020) by race/ethnicity and month.
Results: Telehealth comprised 1257/3142 (40.0%) of overall visits. Telehealth was used by 242/765 (31.6%) of Black/African American and 31/106 (29.2%) multiracial patients. Patients with unknown (162/295, 54.9%), White (771/1870, 41.2%), and other (51/106, 48.1%) identities comprised the majority of telehealth visits.
Conclusions: Our study found differences in telehealth use during the COVID-19 pandemic response.
Implications: Understanding barriers and facilitators to telehealth is critical to reducing disparities in access.
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http://dx.doi.org/10.1016/j.contraception.2021.05.016 | DOI Listing |
Pak J Med Sci
January 2025
Noman Sadiq, MBBS, M.Phil, Associate professor, Department of Physiology, Makran Medical College, Turbat, Pakistan.
Objectives: To determine the prevalence of family planning practice among the parents of children affected with beta thalassemia major (BTM) and to determine the relationship between various factors and family planning practice in Makran division Balochistan.
Methods: A cross-sectional observational study was conducted on 190 parents having BTM children registered in thalassemia care centers throughout the Makran division from May 2023 to October 2023. The structured questionnaire was used and data was collected using the non-probability convenience technique.
Based on critical discourse analysis of Canada's Muskoka Initiative (2010-15), this article outlines how medicalisation contributes to the depoliticisation and technocratisation of global maternal health, while reinforcing patterns of reproductive stratification. By constructing maternal health as a problem of managing medicalised risk, the Muskoka Initiative was able to position family planning as a risk-minimising practice that can improve health by averting pregnancy among populations deemed high risk. Interpreting this construction through the lenses of reproductive justice and biopolitics, I argue that this construction contributes to reproductive stratification and exemplifies how medicalised discourses have replaced overt discourses of population control within development policy, while continuing to discourage reproduction among racialised women in the Global South.
View Article and Find Full Text PDFAJOG Glob Rep
February 2025
Division of Complex Family Planning, Department of Obstetrics Gynecology and Reproductive Sciences, University of California San Diego, La Jolla, CA (Meurice, Kully, Averbach and Mody).
Background: Telemedicine contraception services have increased since the COVID-19 pandemic. There may be unique equity implications and language barriers for patients who speak Spanish.
Objective: To identify the barriers and facilitators of telemedicine for contraception care among patients who speak Spanish using a community-based participatory research approach.
Int J Womens Health
January 2025
Women 's Health Department, Xicheng District Maternal and Child Health Care Hospital, Beijing, 100054, People's Republic of China.
Purpose: This study aimed to analyze the distribution and factors influencing anti-Müllerian hormone (AMH) levels among family-planning women of childbearing age in Beijing, China.
Patients And Methods: We collected the data of 3,236 family-planning women of childbearing age who underwent pre-pregnancy examinations at Xicheng District Maternal and Child Health Hospital in Beijing between October 2021 and July 2024. Collected data included age, education level, ethnicity, height, weight, and systolic and diastolic blood pressure.
Heliyon
January 2025
Institute of Statistical Research and Training, University of Dhaka, Bangladesh.
This paper examines the current state of food insecurity in Bangladesh and its socio-economic drivers using data from the latest Household Income and Expenditure Survey (HIES 2022). Unlike previous studies that relied on less precise measures of food insecurity, such as food expenditure, diversity, and calorie intake, this study employs the internationally recognized Food Insecurity Experience Scale (FIES) and Rasch model-based thresholds to classify households as food secure or insecure. Multilevel logistic regression is used to identify significant predictors of moderate and severe food insecurity, considering the hierarchical structure of the data, with households nested within geographical clusters.
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