ArticleWomen's health (London, England)
"Nobody talks about it": Preconception health and care among women in the rural, Midwestern United States.
Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- State of Knowledge and Awareness of Preconception Preparedness among Premarital Couples in Rwanda: A Quantitative Cross-Sectional Survey.Rwanda journal of medicine and health sciences · 2026Article
- Lessons learned from talking with adults about nutrition: A qualitative study in the PREPARED project.Maternal & child nutrition · 2024Article
- Descriptive Report of a Pharmacist-Directed Preconception Care Outreach Program in a Rural Maternity Care Desert.Pharmacy (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionGood preconception and interconception health are fundamental to optimizing women's health and reducing risk factors for adverse maternal-infant outcomes. Although rural women in the United States tend to experience health disparities, no published qualitative studies have focused on their preconception/interconception health. The purpose of this study was to determine what rural, Midwestern women perceive to be their most pressing health needs and effective ways to provide outreach and education regarding preconception/interconception health and care.
methodsNon-pregnant, reproductive-age women in Hardin County, Ohio, regardless of parity, were recruited through convenience sampling. Semi-structured interviews with four domains (beliefs and behaviors; perceived needs; knowledge and information sources; barriers to care) were conducted in May-June 2021 until saturation was reached. Qualitative methods were used to analyze data and determine themes. Binomial tests were used to compare selected demographic characteristics of participants to the county's reproductive-age residential female population.
resultsNineteen women aged 20-44 years were individually interviewed. Comparing race/ethnicity, education, and insurance status, participants appeared to be representative of the county population. Four themes were identified: (1) needs regarding healthcare and other resources; (2) lack of preconception/interconception care and perceived unimportance due to intergenerational knowledge transfer and paucity of healthcare providers; (3) difference in understanding of the term "women's health" and low health literacy; and (4) suggested interventions including education and outreach.
conclusionInterviews with rural Midwestern women revealed needs regarding preconception/interconception health and care and potential ways to raise awareness. These findings can inform strategies to improve rural women's health and birth outcomes.
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.