ArticleBMC pregnancy and childbirth2025
Women's decision making autonomy on maternal and neonatal health care utilization and associated factors in central Ethiopia: a community based cross-sectional study.
Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWomen’s decision-making autonomy is an important driver of maternal and neonatal healthcare utilization. However, in developing countries, women have limited autonomy over decisions related to their own and their newborns’ health. Limited autonomy hinders the utilization of maternal healthcare services and contributes to maternal-neonatal morbidity. This study assessed the levels and factors associated with women’s decision-making autonomy regarding maternal and neonatal healthcare service utilization in central Ethiopia.
methodsA cross-sectional study was conducted in Guraghe zone, central Ethiopia, from March 15, 2023, to April 15, 2023. A simple random sampling technique was used to select 466 study participants. The data were gathered through structured pretested interviews with mothers. The data were entered into EpiData 3.1 and exported to the Statistical Package for the Social Sciences version 27.0 for analysis. Bivariate and multivariable logistic regression analyses were used to assess factors related to women’s decision-making autonomy. A p-value < 0.05 with a 95% confidence level was used to establish statistical significance in multivariable analysis.
resultsThe overall women’s decision-making autonomy was found to be 71.5% (95% CI, 67.0% − 76.0%). Age ≥ 35 years [AOR = 4.24 (1.85, 9.71)] and between 24 and 35 years [AOR = 2.78 (1.31, 5.91)], husband primary educated [AOR = 2.56 (1.33, 4.94)] and secondary and above educated [AOR = 3.66 (1.79, 7.47)], higher wealth index [AOR = 0.47 (0.24, 0.91)] and medium wealth index [AOR = 0.38 (0.19,0.76)], husband involvement [AOR = 6.19 (3.56, 10.74)], Women’s knowledge of neonatal danger signs [AOR = 2.07 (1.22, 3.49)], Women who were knowledgeable [AOR = 2.726 (1.33,5.56)] and moderately knowledgeable about maternal healthcare services [AOR = 2.81 (1.32,5.97)] were identified as significant factors.
conclusionsAlthough all women have the right to participate in decisions regarding their own and neonatal healthcare, more than one-quarter (28.5%) had no role. These findings highlight the need to strengthen health education to improve women’s knowledge on neonatal danger signs and maternal healthcare services, which is essential to empower women to participate in decisions about their healthcare. Lastly, encouraging husbands’ education and involvement in maternal and neonatal healthcare services will enhance women’s decision-making autonomy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.