Objective: To explore Appalachian women's perceptions of trust and distrust of healthcare providers and the medical care system as they relate to views about cervical cancer and screening.
Methods: Thirty-six Ohio Appalachia female residents participated in community focus groups conducted by trained facilitators. Discussion topics included factors related to cervical cancer, and the issues of trust and distrust in medical care. The tape-recorded focus groups were transcribed and analyzed to identify salient themes.
Results: Five themes emerged related to trust in healthcare. Patient-centered communication and encouragement from a healthcare provider led women to trust their physicians and the medical care system. In contrast, lack of patient-centered communication by providers and perceptions of poor quality of care led to distrust. Physician gender concordance also contributed to trust as women reported trust of female physicians and distrust of male physicians; trust in male physicians was reported to be increased by the presence of a female nurse.
Conclusions: Important factors associated with trust and distrust of providers and the medical care system may impact health-seeking behaviors among underserved women.
Practice Implications: Opportunities to improve patient-centered communication around the issues of prevention and cervical cancer screening (such as providing patient-focused information about access to appropriate screening tests) could be used to improve patient care and build patients' trust.
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http://dx.doi.org/10.1016/j.pec.2011.02.023 | DOI Listing |
JMIR Form Res
December 2024
Division of Informatics, Imaging and Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Vaughan House, Portsmouth Street, Manchester, M13 9GB, United Kingdom, 44 1613067767.
Background: The potential benefits of incorporating digital technologies into health care are well documented. For example, they can improve access for patients living in remote or underresourced locations. However, despite often having the greatest health needs, people who are older or living in more socially deprived areas may be less likely to have access to these technologies and often lack the skills to use them.
View Article and Find Full Text PDFJ Law Biosci
December 2024
College of Nursing, University of Utah, 10 South 2000 East, Salt Lake City, Utah 84112, USA.
This article examines the controversial practice of law enforcement agencies searching genetic samples obtained in health care settings, without a warrant or consent. While police have previously used public genealogy databases for this purpose, our article describes how they are now secretly accessing genetic information from newborn screening programs and medical tests. This raises ethical and legal concerns, blurring the line between health care and law enforcement.
View Article and Find Full Text PDFDisaster Med Public Health Prep
December 2024
College of Population Health, University of New Mexico, Albuquerque, NM, USA.
Objective: To estimate COVID-19 vaccine intention, uptake, and hesitancy among essential workers.
Methods: A cross-sectional survey of USDA-certified organic producers. An electronic survey was used for data collection.
Pediatrics
December 2024
School of Social Work, Portland State University, Portland, Oregon.
Objectives: To identify opportunities for improvement in quality of care, we explore Black families' experiences of family support in the neonatal intensive care unit (NICU) during their infant's hospital stay.
Methods: Semistructured qualitative interviews or focus groups (FGs) were conducted to explore Black families' experiences of NICU hospitalization. Inclusion criteria were self-identification as a Black family member and infant admission to our NICU between January 2020 and February 2022.
J Med Internet Res
December 2024
BC Cancer Research Institute, Vancouver, BC, Canada.
Background: Evaluating precision oncology outcomes requires access to real-world and clinical trial data. Access is based on consent, and consent is based on patients' informed preferences when deciding to share their data. Decision-making is often modeled using utility theory, but a complex decision context calls for a consideration of how heuristic, intuitive thought processes interact with rational utility maximization.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!