ArticleBMC women's health2021
"I'll tell you what's important to me…": lessons for women's health screening.
Article in BMC women's health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Stakeholders' perceptions and experiences of factors influencing the commissioning, delivery, and uptake of general health checks: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2025Pooled it
- A call for action: Need to expand the scope of women's health assessment.Journal of advanced nursing · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProviders face increasing demands to screen for various health issues. Family medicine, primary care, and obstetric providers are encouraged to screen women universally for intimate partner violence, which could be challenging without comprehensive screening tools. The screening expectations and demands motivated providers and staff in south-central Appalachia (U.S.) to engage community members in streamlining women's health screening tools, and integrating intimate partner violence screening questions, through a Human-Centered Design (HCD) process. The objective of this article is to present participants' experiences with and perceptions of the HCD process for developing screening tools for women's health.
methodsThis was a qualitative, phenomenological study conducted with community members (n = 4) and providers and staff (n = 7) who participated in the HCD process. Sampling was purposive and opportunistic. An experienced qualitative researcher conducted open-ended, semi-structured interviews with participants. Interviews were transcribed and coded for thematic analysis.
resultsCommunity members reported that in the HCD sessions they wanted clinicians to understand the importance of timing and trust in health screening. They focused on the importance of taking time to build trust before asking about intimate partner violence; not over-focusing on body weight as this can preclude trust and disclosure of other issues; and understanding the role of historical oppression and racial discrimination in contributing to healthcare mistrust. Providers and staff reported that they recognized the importance of these concerns during the HCD process.
conclusionsCommunity members provided critical feedback for designing appropriate tools for screening for women's health. The findings suggest that co-designing screening tools for use in clinical settings can facilitate communication of core values. How, when, and how often screening questions are asked are as important as what is asked-especially as related to intimate partner violence and weight.
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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.