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Objective To compare the prevalence of unintended pregnancy measured by the Demographic and Health Survey (DHS) and the London Measure of Unplanned Pregnancy in Bangladesh, and explore the extent of discordance between the measures and the factors associated with the discordance. Methods In 2023, we conducted a cross-sectional survey in four randomly selected districts in Bangladesh: Kurigram, Mymensingh, Pabna and Satkhira. We randomly selected 20 hospitals, five from each district. We collected data from 1200 women who had recently delivered a baby and were visiting the hospitals for postnatal care. We interviewed the women about their pregnancy intention in their last pregnancy using questions in the DHS and the London Measure of Unplanned Pregnancy and examined the discordance in their responses. We used multivariable logistic regression analysis to identify factors associated with discordant responses in reported pregnancy intention. Findings The prevalence of unintended pregnancy was 24.3% (292/1200) using the DHS measure and 31.0% (373/1200) using the London Measure of Unplanned Pregnancy. Discordance in responses to pregnancy intention between the two measures was 27.1% (325/1200). Factors associated with discordance were older age, female sex of the last child born, having more than two children, being in a poorer wealth quintile, living in a rural area and living in Kurigram district. Conclusion The prevalence of unintended pregnancy in Bangladesh measured by the DHS measure may be an underestimate, suggesting that the adverse effects of unintended pregnancy are greater than realized and emphasizing the need to bolster Bangladesh's family planning programme. Objectif Comparer la prevalence des grossesses non desirees mesuree par l'Enquete demographique et de sante (EDS) et par la London Measure of Unplanned Pregnancy au Bangladesh et explorer letendue de la discordance entre les mesures et les facteurs associes a cette discordance. Methodes En 2023, nous avons mene une enquete transversale dans quatre districts du Bangladesh choisis au hasard: Kurigram, Mymensingh, Pabna et Satkhira. Nous avons choisi au hasard 20 hopitaux, cinq par district. Nous avons recueilli des donnees aupres de 1200 femmes qui avaient recemment accouche et qui se rendaient a l'hopital pour des soins postnatals. Nous avons interroge ces femmes sur le desir de leur derniere grossesse en leur posant des questions issues de l'Enquete demographique et de sante et de la London Measure of Unplanned Pregnancy. Nous avons ensuite examine la discordance entre leurs reponses. Nous avons applique une analyse de regression logistique multivariable afin d'identifier les facteurs associes aux reponses discordantes dans les intentions de grossesse declarees. Resultats La prevalence des grossesses non desirees etait de 24,3% (292/1200) selon l'Enquete demographique et de sante et de 31,0% (373/1200) selon la London Measure of Unplanned Pregnancy. La discordance dans les reponses portant sur l'intention de grossesse entre les deux mesures etait de 27,1% (325/1200). Les facteurs associes a la discordance etaient l'age avance, le sexe feminin du dernier enfant ne, le fait d'avoir plus de deux enfants, d'appartenir a un quintile de richesse inferieur, de vivre dans une zone rurale et de vivre dans le district de Kurigram. Conclusion Il se peut que la prevalence des grossesses non desirees au Bangladesh, telle que mesuree par l'Enquete demographique et de sante, soit sous-estimee, ce qui suggere que les effets defavorables des grossesses non desirees sont plus importants qu'on ne le pense et souligne la necessite de renforcer le programme de planification familiale du Bangladesh. Objetivo Comparar la prevalencia del embarazo no deseado medida por la Encuesta Demografica y de Salud (EDS) y la London Measure of Unplanned Pregnancy en Bangladesh, y explorar el grado de discordancia entre las medidas y los factores asociados con la discordancia. Metodos En 2023, se realizo una encuesta transversal en cuatro distritos de Bangladesh seleccionados al azar: Kurigram, Mymensingh, Pabna y Satkhira. Se seleccionaron al azar 20 hospitales, cinco de cada distrito. Se recopilaron datos de 1200 mujeres que habian dado a luz recientemente y acudian a los hospitales para recibir atencion posnatal. Se entrevisto a las mujeres sobre su intencion de embarazo en su ultimo embarazo utilizando preguntas de la EDS y la London Measure of Unplanned Pregnancy, y se examino la discordancia en sus respuestas. Se utilizo un analisis de regresion logistica multivariable para identificar los factores asociados a las respuestas discordantes en la intencion de embarazo declarada. Resultados La prevalencia de embarazos no deseados fue del 24,3% (292/1200) utilizando la medida EDS y del 31,0% (373/1200) utilizando la London Measure of Unplanned Pregnancy. La discordancia en las respuestas a la intencion de embarazo entre las dos medidas fue del 27,1% (325/1200). Los factores asociados a la discordancia fueron la edad avanzada, el sexo femenino del ultimo hijo nacido, tener mas de dos hijos, pertenecer a un quintil de riqueza mas pobre, vivir en un area rural y vivir en el distrito de Kurigram. Conclusion La prevalencia de embarazos no deseados en Bangladesh medida por la EDS puede ser una subestimacion, lo que sugiere que los efectos adversos de los embarazos no deseados son mayores de lo que se cree y subraya la necesidad de reforzar el programa de planificacion familiar de Bangladesh., Introduction Globally, about half of pregnancies (roughly 121 million) are unintended, with low- and middle-income countries bearing the brunt due to lower use of modern contraception and higher unmet contraceptive [...]

The article discusses the challenges facing the health care system in Somalia as well as the low rate of contraception uptake in the country. Topics include findings of the 2020 Somali Health and Demographic Survey, factors attributed to an underdeveloped health-care infrastructure and a severe shortage of health-care personnel in the country, and the need of Somalia to prioritize sexual and reproductive health-care services.