ArticleReproductive health2024
Husband responses towards birth preparedness, complications readiness, and associated factors in southern Ethiopia: the case of Kena District.
Article in Reproductive health, 2024. 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBirth preparedness and complication readiness is a holistic approach that empowers mothers and families with the knowledge, attitude, and resources to alleviate potential challenges during childbirth. Despite its benefits, husbands' participation in maternal care differs significantly between countries and regions. There is a lack of previous studies that look at husbands' responses to birth preparedness and complication readiness in the research area. Thus, the primary goal of this study is to find out how husbands who have wives with infants under 12 months old feel about birth preparation, readiness for problems, and its associated factors.
methodsA community-based cross-sectional study design was conducted from May 30 to July 29, 2022. Simple random sampling was employed to select 499 husbands. An interviewer-administered, structured, and pretested questionnaire was used to collect the data. Data entry and analysis were performed using Epi Data version 4.6 and SPSS version 25, respectively. We used multivariable logistic regression to find statistically significant factors. P-values less than 0.05, 95% confidence intervals, and adjusted odds ratios are used to declare statistical significance. The findings were shown in figures, tables, and text.
resultsThe study found that 55.9% (95% CI: 51.4 to 61.4%) of husbands responded to birth preparedness and complication readiness. This response was significantly associated with being employed (AOR = 3.7, 95% CI: 2.27-5.95), engaging in self-business (AOR = 5.3, 95% CI: 2.34-12.01), having wives who delivered in health facilities (AOR = 7.1, 95% CI: 3.92-12.86), accompanying wives for antenatal care (AOR = 2.2, 95% CI: 1.39-3.56), possessing good knowledge of danger signs during labor (AOR = 2.0, 95% CI: 1.08-3.74) and the postnatal period (AOR = 7.1, 95% CI: 3.14-16.01). Interestingly, residents living near a health facility (AOR = 0.6, 95% CI: 0.39-0.97) were less likely to respond.
conclusionThe present study found that nearly 6 out of 10 husbands actively responded in terms of birth preparedness and complication readiness. While husbands in this study showed some involvement in birth preparedness and complications, it is good when compared to studies carried out nationally. To improve this, educating husbands by focusing on the danger signs and their role in childbirth is recommended.
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.