scholarly journals Factors Influencing Discussion of Cancer Genetic Testing with Health-Care Providers in a Population-Based Survey

2021 ◽  
pp. 1-11
Author(s):  
Sukh Makhnoon ◽  
Robert Yu ◽  
Sonia A. Cunningham ◽  
Susan K. Peterson ◽  
Sanjay Shete
Keyword(s):  
Risk Assessment ◽  
Health Care ◽  
Genetic Testing ◽  
Health Care Providers ◽  
Public Awareness ◽  
Personal History ◽  
Cancer Risk Assessment ◽  
Care Providers ◽  
Cancer Genetic ◽  
History Of

<b><i>Introduction:</i></b> Discussion of cancer genetic testing with health-care providers (HCPs) is necessary to undergo testing to inform cancer risk assessment and prevention. Given the rapid evolution in genetic testing practice in oncology, we describe the current landscape of population-level cancer genetic testing behaviors. <b><i>Methods:</i></b> A questionnaire including items regarding discussion of cancer genetic testing with HCPs was administered to a nonprobability sample (<i>N</i> = 2,029) of the Texas population. <b><i>Results:</i></b> Overall, 11% of respondents discussed cancer genetic testing with HCPs. In multivariable analysis, discussion was significantly related to having a personal history of breast/ovarian/colon cancer (OR = 11.57, 95% CI = 5.34–25.03), personal history of other cancer (OR = 3.18, 95% CI = 1.69–5.97), and health information-seeking behaviors (OR = 1.73, 95% CI = 1.12–2.66). Surprisingly, respondents who believed that inherited predispositions in addition to other modifiable risk factors cause cancer were less likely to discuss genetic testing compared to those who did not believe that inherited cancer predispositions cause cancer (OR = 0.54, 95% CI = 0.36–0.79). <b><i>Discussion:</i></b> The high discussion rate may be attributed to increased public awareness of genetic testing and adoption of more inclusive clinical genetic testing guidelines. The findings suggest that efforts to increase public awareness of the utility of genetic testing on personalized cancer risk assessment and cancer prevention are needed.

Impact of Health Perception and Knowledge on Genetic Testing Decisions Using the Health Belief Model

2022 ◽  
Author(s):  
Safa Elkefi ◽  
Avishek Choudhury ◽  
Olga Strachna ◽  
Onur Asan
Keyword(s):  
Health Care ◽  
Genetic Testing ◽  
Cancer Risk ◽  
Health Belief Model ◽  
Health Care Providers ◽  
Health Belief ◽  
Care Providers ◽  
Cancer History ◽  
Belief Model ◽  
The Health Belief Model

PURPOSE Early detection of cancer risk is essential as it is associated with a higher chance of survival, more successful treatment, and improved quality of life. Genetic testing helps at-risk patients estimate the likelihood of developing cancer in a lifetime. This study aims to indentify the factors (perceived susceptibility, severity, benefits, and self-efficacy) that impact one's decision to take the genetic test. METHODS We examined the impacts of different factors of the health belief model on the engagement of patients in genetic testing using data from the National Cancer Institute's 2020 cross-sectional nationally representative data published in 2021. Complete surveys were answered by 3,865 participants (weighted population size = 253,815,197). All estimates were weighted to be nationally representative of the US population using the jackknife weighting method for parameter estimation. We used multivariable logistic regression to test our hypotheses for patients who have taken the genetic test for cancer risk detection. We adjusted the multivariate model for age, education, income, race, sex, cancer history, familial cancer history, and education. RESULTS We tested five hypotheses using the health belief model. Respondents who had genetic testing were more likely to rely on their health care providers and genetic counselors to make their decisions. Respondents who had genetic tests also reported less reliability on other sources than doctors: for the internet and social media (odds ratio = 0.33; P < .001) and for journals and magazines (odds ratio = 0.48; P = .007). CONCLUSION The findings show that patients generally rely on suggestions from their health care providers and counselors in genetic testing decisions. These findings also indicate that health care providers play a critical role in helping patients decide whether to use genetic testing to detect cancer risk in the early stages.

scholarly journals Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers

2018 ◽  
Vol 09 (04) ◽  
pp. 772-781 ◽  
Author(s):  
Meghan Reading ◽  
Dawon Baik ◽  
Melissa Beauchemin ◽  
Kathleen Hickey ◽  
Jacqueline Merrill
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Care Providers ◽  
Self Monitoring ◽  
Major Barrier ◽  
Utaut Model ◽  
History Of ◽  
Mhealth Technology

Background Patient-generated health data (PGHD) collected digitally with mobile health (mHealth) technology has garnered recent excitement for its potential to improve precision management of chronic conditions such as atrial fibrillation (AF), a common cardiac arrhythmia. However, sustained engagement is a major barrier to collection of PGHD. Little is known about barriers to sustained engagement or strategies to intervene upon engagement through application design. Objective This article investigates individual patient differences in sustained engagement among individuals with a history of AF who are self-monitoring using mHealth technology. Methods This qualitative study involved patients, health care providers, and research coordinators previously involved in a randomized, controlled trial involving electrocardiogram (ECG) self-monitoring of AF. Patients were adults with a history of AF randomized to the intervention arm of this trial who self-monitored using ECG mHealth technology for 6 months. Semistructured interviews and focus groups were conducted separately with health care providers and research coordinators, engaged patients, and unengaged patients. A validated model of sustained engagement, an adapted unified theory of acceptance and use of technology (UTAUT), guided data collection, and analysis through directed content analysis. Results We interviewed 13 patients (7 engaged, 6 unengaged), 6 providers, and 2 research coordinators. In addition to finding differences between engaged and unengaged patients within each predictor in the adapted UTAUT model (perceived ease of use, perceived usefulness, facilitating conditions), four additional factors were identified as being related to sustained engagement in this population. These are: (1) internal motivation to manage health, (2) relationship with health care provider, (3) supportive environments, and (4) feedback and guidance. Conclusion Although it required some modification, the adapted UTAUT model was useful in understanding of the parameters of sustained engagement. The findings of this study provide initial requirement specifications for the design of applications that engage patients in this unique population of adults with AF.

scholarly journals Awareness of Oral Cancer Among Dental Patients in Mecca, Saudi Arabia

2020 ◽  
Vol 14 (1) ◽  
pp. 369-374
Author(s):  
Mashael Alqahtani ◽  
Alla Nahhas ◽  
Lujain Malibari ◽  
Maryam Alghamdi ◽  
Sara Bazuhier ◽  
...  
Keyword(s):  
Health Care ◽  
Oral Cancer ◽  
Health Care Providers ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Cross Sectional ◽  
Dental Patients ◽  
Adequate Knowledge ◽  
History Of ◽  
Demographical Data

Background: Oral Cancer (OC) is a serious health problem affecting the oral cavity, which may lead to death. Alcohol, tobacco, and chewing betel are the main risk factors. Early diagnosis and adequate knowledge of OC may improve the survival rate. Objective: This study aimed to assess the knowledge about oral cancer among dental patients in Mecca. Methods: A cross-sectional study was conducted in the dental clinics of Mecca. Interviewer-administered questionnaires were distributed to 416 respondents aged 18 or older, who spoke Arabic or English, had no history of OC, and participated voluntarily. The questionnaire consisted of three sections. The first regarded demographical data, the second measured knowledge about OC, and the third was concerned with education regarding OC provided by health-care providers. The interviewers also educated the participants by handing brochures with information about OC. Results: Knowledge about OC among dental patients in Mecca was found to be significantly low. Only 102 of the 416 participants (24.5%) had any knowledge. Only 3.4% of all participants had been educated about OC by their health-care providers. Conclusion: The results of this study show a considerable lack of general knowledge about OC among dental patients in Mecca. Health programs should be developed to raise the community’s awareness.

scholarly journals Oncology Clinic-Based Hereditary Cancer Genetic Testing in a Population-Based Health Care System

Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 338 ◽  
Author(s):  
Matthew Richardson ◽  
Hae Jung Min ◽  
Quan Hong ◽  
Katie Compton ◽  
Sze Wing Mung ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Health Care ◽  
Genetic Testing ◽  
Population Based ◽  
Gene Panel ◽  
Wait Times ◽  
Genetic Counsellor ◽  
Care Providers ◽  
Cancer Genetic ◽  
Breast And Ovarian Cancer

New streamlined models for genetic counseling and genetic testing have recently been developed in response to increasing demand for cancer genetic services. To improve access and decrease wait times, we implemented an oncology clinic-based genetic testing model for breast and ovarian cancer patients in a publicly funded population-based health care setting in British Columbia, Canada. This observational study evaluated the oncology clinic-based model as compared to a traditional one-on-one approach with a genetic counsellor using a multi-gene panel testing approach. The primary objectives were to evaluate wait times and patient reported outcome measures between the oncology clinic-based and traditional genetic counselling models. Secondary objectives were to describe oncologist and genetic counsellor acceptability and experience. Wait times from referral to return of genetic testing results were assessed for 400 patients with breast and/or ovarian cancer undergoing genetic testing for hereditary breast and ovarian cancer from June 2015 to August 2017. Patient wait times from referral to return of results were significantly shorter with the oncology clinic-based model as compared to the traditional model (403 vs. 191 days; p < 0.001). A subset of 148 patients (traditional n = 99; oncology clinic-based n = 49) completed study surveys to assess uncertainty, distress, and patient experience. Responses were similar between both models. Healthcare providers survey responses indicated they believed the oncology clinic-based model was acceptable and a positive experience. Oncology clinic-based genetic testing using a multi-gene panel approach and post-test counselling with a genetic counsellor significantly reduced wait times and is acceptable for patients and health care providers.

Direct-to-Consumer Genetic Testing

2012 ◽  
Vol 5 (1) ◽  
pp. 35-67 ◽  
Author(s):  
Richard A. Stein
Keyword(s):  
Health Care ◽  
Genetic Testing ◽  
Health Care Providers ◽  
Double Helix ◽  
Health Care Facilities ◽  
Past Century ◽  
Care Providers ◽  
Genetic Tests ◽  
Direct To Consumer ◽  
Dna Double Helix

Genetics has fascinated societies since ancient times, and references to traits or behaviors that appear to be shared or different among related individuals have permeated legends, literature, and popular culture. Biomedical advances from the past century, and particularly the discovery of the DNA double helix, the increasing numbers of links that were established between mutations and medical conditions or phenotypes, and technological advances that facilitated the sequencing of the human genome, catalyzed the development of genetic testing. Genetic tests were initially performed in health care facilities, interpreted by health care providers, and included the availability of counseling. Recent years have seen an increased availability of genetic tests that are offered by companies directly to consumers, a phenomenon that became known as direct-to-consumer genetic testing. Tests offered in this setting range from the ones that are also provided in health care establishments to tests known as ‘recreational genomics,’ and consumers directly receive the test results. In addition, testing in this context often does not involve the availability of counseling and, when this is provided, it frequently occurs on-line or over the phone. As a field situated at the interface between biotechnology, biomedical research, and social sciences, direct-to-consumer genetic testing opens multiple challenges that can be appropriately addressed only by developing a complex, inter-disciplinary framework.

scholarly journals Plain Language Summary: Nosebleed (Epistaxis)

2020 ◽  
Vol 162 (1) ◽  
pp. 26-32
Author(s):  
David E. Tunkel ◽  
Sarah M. Holdsworth ◽  
Jacqueline D. Alikhaani ◽  
Taskin M. Monjur ◽  
Lisa Satterfield
Keyword(s):  
Health Care ◽  
Clinical Practice ◽  
Health Care Providers ◽  
Clinical Practice Guideline ◽  
Medical Advice ◽  
Care Providers ◽  
Plain Language ◽  
Treatment And Prevention ◽  
History Of ◽  
Or History

This plain language summary explains nosebleeds, also known as epistaxis (pronounced ep-ih-stak-sis), to patients. The summary applies to any individual aged 3 years and older with a nosebleed or history of nosebleed who needs medical treatment or wants medical advice. It is based on the 2020 “Clinical Practice Guideline: Nosebleed (Epistaxis).” This guideline uses research to advise doctors and other health care providers on the diagnosis, treatment, and prevention of nosebleeds. The guideline includes recommendations that are explained in this summary. Recommendations may not apply to every patient but can be used to help patients ask questions and make decisions in their own care.

Health care providers ethical use of risk assessment to identify and prevent terrorism

2020 ◽  
Vol 12 ◽  
pp. 100436
Author(s):  
G. Montanari Vergallo ◽  
D.L. Shapiro ◽  
L.E. Walker ◽  
V. Mastronardi ◽  
M. Calderaro ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Health Care ◽  
Health Care Providers ◽  
Care Providers
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