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BackgroundDespite liberalization of the Nepal abortion law, young women continue to experience barriers to safe abortion services. We hypothesize that marital status may differentially impact such barriers, given the societal context of Nepal.MethodsWe evaluated differences in reproductive knowledge and attitudes by marital status with a probability-based, cross-sectional survey of young women in Rupandehi district, Nepal. Participants (N = 600) were surveyed in 2012 on demographics, romantic experiences, media habits, reproductive information, and abortion knowledge and attitudes. We used logistic regression to assess differences by marital status, controlling for age.ResultsParticipants, who comprised never-married (54%) and ever-married women (45%), reported good access to basic reproductive health and abortion information. Social desirability bias might have prevented reporting of premarital romantic and sexual activity given that participants reported more premarital activities for their friends than for themselves. Only 45% knew that abortion was legal, and fewer ever-married women were aware of abortion legality. Never-married women expected more negative responses from having an abortion than ever-married women.ConclusionsFindings highlight the need for providing sexual and reproductive health care information and services to young women regardless of marital status.

ObjectiveTo determine if pregnant, literate women and female community health volunteers (FCHVs) in Nepal can accurately determine a woman’s eligibility for medical abortion (MA) using a toolkit, compared to comprehensive abortion care (CAC) trained providers.Study designWe conducted a prospective diagnostic accuracy study in which women presenting for first trimester abortion, and FCHVs, independently assessed each woman’s eligibility for MA using a modified gestational dating wheel to determine gestational age and a nine-point checklist of MA contraindications or cautions. Ability to determine MA eligibility was compared to experienced CAC-providers using Nepali standard of care.ResultsBoth women (n = 3131) and FCHVs (n = 165) accurately interpreted the wheel 96% of the time, and the eligibility checklist 72% and 95% of the time, respectively. Of the 649 women who reported potential contraindications or cautions on the checklist, 88% misidentified as eligible. Positive predictive value (PPV) of women’s assessment of eligibility based on gestational age was 93% (95% CI 92, 94) compared to CAC-providers’ (n = 47); PPV of the medical contraindications checklist and overall (90% [95% CI 88, 91] and 93% [95% CI 92, 94] respectively) must be interpreted with caution given women’s difficulty using the checklist. PPV of FCHVs’ determinations were 93% (95% CI 92, 94), 90% (95% CI 89,91), and 93% (95% CI 91, 94) respectively.ConclusionAlthough a promising strategy to assist women and FCHVs to assess MA eligibility, further refinement of the eligibility tools, particularly the checklist, is needed before their widespread use.

BackgroundWe sought to determine if female community health volunteers (FCHVs) and literate women in Nepal can accurately determine success of medical abortion (MA) using a symptom checklist, compared to experienced abortion providers.MethodsWomen undergoing MA, and FCHVs, independently assessed the success of each woman’s abortion using an 8-question symptom checklist. Any answers in a red-shaded box indicated that the abortion may not have been successful. Women’s/FCHVs’ assessments were compared to experienced abortion providers using standard of care.ResultsWomen’s (n = 1153) self-assessment of MA success agreed with abortion providers’ determinations 85% of the time (positive predictive value = 90, 95% CI 88, 92); agreement between FCHVs and providers was 82% (positive predictive value = 90, 95% CI 88, 92). Of the 92 women (8%) requiring uterine evacuation with manual vacuum aspiration (n = 84, 7%) or medications (n = 8, 0.7%), 64% self-identified as needing additional care; FCHVs identified 61%. However, both women and FCHVs had difficulty recognizing that an answer in a red-shaded box indicated that the abortion may not have been successful. Of the 453 women with a red-shaded box marked, only 35% of women and 41% of FCHVs identified the need for additional care.ConclusionUse of a checklist to determine MA success is a promising strategy, however further refinement of such a tool, particularly for low-literacy settings, is needed before widespread use.

The objective of this research was to develop and assess the validity of a scale to measure perceived abortion self-efficacy (PASE). Perceived abortion self-efficacy is defined as an individual’s perceived confidence in their ability to carry out the tasks necessary to end a pregnancy safely and successfully. During the first phase of this study between February and April 2018, we conducted qualitative research using in-depth interviews and focus group discussions with women in Bolivia, Nepal, and Nigeria to explore domains of PASE. Using the qualitative data, we prepared a draft set of measures with 31 items. In October and November 2018, the second phase of the study included field testing 31 draft items with a convenience sample of approximately 1200 women across the three study countries. Exploratory factor analysis was conducted to identify an appropriate scale structure, resulting in a 15-item, 3-factor model. The three factors represent the concepts of enlisting social resources, accessing information and care, and resilience. In the third and final phase in September and October 2019, the validity of the 15 scale items was assessed. The scale was administered to a new sample of approximately 400 women in each country. Confirmatory factor analyses were conducted to test model fit for the scale structure identified during the second phase. The results from this study suggest that the final PASE scale has considerable potential to be a valid measure of PASE. The new 15-item PASE scale presented in this paper can be used to evaluate programmes or interventions designed to improve women’s PASE and to assess the state of PASE in populations.