No woman should be left behind: A decomposition analysis of socioeconomic inequalities in unsafe abortion among women presenting for abortion care services in Lusaka and Copperbelt provinces of Zambia
Kaonga, P.; Mukosha, M.; Jacobs, C.; Munakampe, M. N.; Sichone, V.; Phiri, C. C.; Makasa, M.; Vwalika, B.; Lubeya, M. K.
Show abstract
This study measured socioeconomic-related unsafe abortion inequality among women presenting for abortion care services in Lusaka and the Copperbelt provinces of Zambia and decompose its causes. We conducted a cross-sectional study between August and September 2021. Unsafe abortion inequalities were assessed using corrected concentration index and Erreygers-type decomposition analysis was conducted to assess causes of unsafe abortion inequalities. Out of 362 women, the magnitude of unsafe abortion was 77(21.3%, [95% CI: 17.8, 24.9]). The corrected concentration index was -0.231 (95% CI: -0.309, -0.154), implying pro-poor inequality in unsafe abortion among women. Decomposition analysis showed that the major contributors of the unsafe abortion inequality were socioeconomic status (66.6%), marital status (6.3%), education (10.2%) and employment (3.7%). Also, history of unwanted pregnancy (5.1%), awareness of whether abortion is legal in Zambia (8.9%) and awareness that hospitals offered free abortion services (11.3%). The findings suggest that the unsafe abortion is a problem in Zambia and substantial inequality mainly due to socioeconomic factors. Stakeholders and policymakers should consider socioeconomic strategies to reduce unsafe abortion inequality promoting advocacy to increased access to legal safe abortion and use of modern contraceptives so that no woman is left behind in the prevention of unsafe abortion.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Predictors of voluntary uptake of modern contraceptive methods in rural Sindh, Pakistan 98%
- Determinants of facility-based childbirth among adolescents and young women in Guinea: a secondary analysis of the 2018 Demographic and Health Survey 98%
- The effect of health insurance coverage on antenatal care utilization in Cambodia: A secondary analysis of Cambodia Demographic and Health Survey 2021-2022 98%
Similar papers in this journal
- Level of completion along continuum of care for maternal and child health services and factors associated with it among women in Arba Minch Zuria Woreda, Gamo Zone, Southern Ethiopia: a community based cross-sectional study 98%
- Prevalence of pregnancy termination and associated factors among married women in Papua New Guinea: a nationally representative cross-sectional survey 98%
- Regional Disparities of Antenatal Care Utilization in Indonesia 98%
Similar papers in this journal
- Women’s Awareness of Obstetric Fistula and its Associated Factors Among Reproductive-Age Women in Ethiopia: A Multilevel Analysis Based on National Survey Data 98%
- Cost saving in primary versus tertiary level of reproductive health services in Sana’a, Yemen 97%
- Protocol for a prospective, hospital-based registry of pregnant women with SARS-CoV-2 infection in India: PregCovid Registry study 96%
Similar papers in this journal
- Availability and readiness of healthcare facilities and their effects on under-five mortality in Bangladesh: Analysis of linked data 96%
- Inequities in Effective Coverage of Family Planning Services in Low-and Middle-Income Countries: Linking Households and Facility Surveys 95%
- Effective coverage for maternal health: operationalizing effective coverage cascades for antenatal care and nutrition interventions for pregnant women in seven low- and middle-income countries 91%
Similar papers in this journal
- Health Insurance Support on Maternal Health Care: Evidence from Survey Data in India 97%
- Challenges to self-isolation among contacts of cases of COVID-19: a national telephone survey in Wales 93%
- COVID-19 in Bangladesh: Measuring differences in individual precautionary behaviors among young adults 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.