ArticleBMC public health2021
Assessing the reliability and validity of attitudes and confidence scales for the care of women and girls affected by female genital mutilation/cutting.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03249649 (Enhancing Culturally-Informed Health Care Services for Women Affected by Female Genital Cutting in Arizona), which is not on this map. Cited by 4 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.
Enhancing Culturally-Informed Health Care Services for Women Affected by Female Genital Cutting in Arizona
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Experiences of Primary Healthcare Workers in Australia towards Women and Girls Living with Female Genital Mutilation/Cutting (FGM/C): A Qualitative Study.Healthcare (Basel, Switzerland) · 2023Article
- Article
- African Immigrant Women's Maternal Health Experiences in Clarkston, Georgia: A Qualitative Study.Women's health reports (New Rochelle, N.Y.) · 2023Article
- Factors Associated with Health Care Provider Attitudes, and Confidence for the Care of Women and Girls Affected by Female Genital Mutilation/Cutting.Health equity · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundApproximately 545,000 women and girls in the USA have undergone Female Genital Mutilation/ Cutting (FGM/C) or have mothers from a country where FGM/C is practiced. Women and girls living with FGM/C in the USA may experience stigma and bias due to their FGM/C, immigration, racial, and language status. Health care provider attitudes toward FGM/C and confidence for related clinical care may affect the quality of care, yet there are no validated instruments to measure these constructs.
methodsWe developed the instruments via review of the FGM/C literature, the development of scale items, expert review, and pre-testing. We validated the instruments using a convenience sample of providers in Arizona and Maryland. We used exploratory factor analysis (EFA) to confirm factor structures, and compared scores between known groups to assess validity.
resultsThe EFA revealed a two-factor solution for attitudes, including subscales for Negative Attitudes and Empathetic Attitudes toward FGM/C and those who practice with Cronbach's alphas of 0.814 and 0.628 respectively. The EFA for confidence revealed a two-factor solution including Confidence in Clinical FGM/C Care and Confidence in Critical Communication Skills for FGM/C Care with Cronbach's alphas of 0.857 and 0.694 respectively.
conclusionsHealth care provider attitudes and confidence toward FGM/C care may affect quality of care and health outcomes for women and girls. Our study describes the rigorous psychometric analysis to create reliable and valid instruments to assess health care provider attitudes and confidence for the care of women and girls who have experienced FGM/C.
trial registrationClinicalTrials.gov , NCT03249649 . Registered on 15 August 2017. Retrospectively registered.
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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.