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Original Research

Correlates of individual-level abortion stigma among women seeking elective abortion in Nigeria

, , , &
Pages 361-366 | Published online: 12 Jul 2018
 

Abstract

Objective

This study aimed to measure individual-level abortion stigma (ILAS) and determine its correlates among women receiving safe elective abortion services.

Patients and methods

Data were collected from a cross-section of women who received safe elective abortion services in select intervention health facilities. Respondents were recruited through a self-selection sampling. ILAS was assessed using a 16-item scale (Cronbach’s alpha =0.9122). Respondents were categorized as high (summed score >40) or low ILAS (summed score ≤40) on a spectrum of a summed minimum score of 16 to a maximum score of 64. A log-binomial regression model was constructed to determine the ILAS correlates.

Results

Among 382 respondents, 43% expressed high ILAS. Women’s age and education, provider’s cadre and type of abortion procedure were significant correlates in the model. Older women (age 25–34 and age ≥35) were less likely (prevalence ratio [PR]=0.60 and 0.39, p<0.001) to express high ILAS than the younger women (age ≤24); those with higher educational status were more likely to express (PR=1.64, p<0.05) high ILAS than those with None/Primary education; those who had medical abortion were less likely (PR=0.54, p<0.01) to express high ILAS than those who had surgical abortion; and lastly, those who received care from midlevel providers were more likely (PR=1.31, p<0.05) to express high ILAS than those who received care from physicians.

Conclusion

High ILAS still exists among women accessing safe elective abortion care in Nigeria. Therefore, interventions at all levels of the socioecological model of abortion stigma need to be considered to address this societal problem that affects and impacts women.

Acknowledgments

We appreciate and acknowledge the effort of Dr Kristen Shellenberg for her meticulous review of the manuscript and her invaluable contributions to the final version. We also appreciate the effort of Emily Madsen who validated the results of the data analysis.

Author contributions

All authors contributed toward data analysis, drafting and critically revising the paper and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.