ArticleJournal of community health2015
Documenting Cancer Information Seeking Behavior and Risk Perception in the Hualapai Indian Community to Inform a Community Health Program.
Article in Journal of community health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- "Nobody Is Talking About It": Diné (Navajo) Communities Speak About Stomach Cancer and Helicobacter pylori Infections.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022Article
- Trust and world view in shared decision making with indigenous patients: A realist synthesis.Journal of evaluation in clinical practice · 2020Article
- Cancer Information Seeking and Cancer-Related Health Outcomes: A Scoping Review of the Health Information National Trends Survey Literature.Journal of health communication · 2016Article
- Barriers of Female Breast, Colorectal, and Cervical Cancer Screening Among American Indians-Where to Intervene?AIMS public health · 2016Article
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
No grant is acknowledged in the PubMed record.
Abstract
Cancer incidence among American Indians (AIs) is low, yet their 5-year relative survival rate is the second lowest of all U.S. populations. Culturally relevant cancer prevention education is key to achieve health equity. This collaborative project of the Hualapai Tribe and University of Arizona modified the National Cancer Institute's 2003 Health Information National Trends Survey (HINTS) to yield a more culturally relevant cancer information survey to document the health seeking behaviors and perceptions of cancer risks and preventability of AI adults residing in the Hualapai Indian community. A team of health care providers, educators and cancer survivors (six native and three non-natives) completed the adaptation. Four trained native surveyors administered the survey using a random household survey design. The Hualapai HINTS was well accepted (<5% refusal rate) and was completed by 205 adults (20.5% of all adult residents). Respondents reported a preference for and a trust in verbal cancer information and communication with health care professionals (77.1% preference; 57.4% trust) and at workshops (75.2% preference; 45.5% trust). Respondents were aware of some health behaviors associated with a reduced cancer risk, e.g., avoid tobacco use and need for screening. Respondents were less well informed about the role of diet and exercise. These findings were used to inform local cancer prevention education efforts and to develop a series of monthly workshops that engaged local health professionals to reinforce and discuss pathways of the primary role of lifestyle related factors, specifically diet and exercise in reducing cancer risk.
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.