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2.
J Genet Couns ; 31(5): 1102-1112, 2022 10.
Article in English | MEDLINE | ID: mdl-35460542

ABSTRACT

Transgender and/or gender non-binary (TGNB) individuals face significant health care disparities, including deficiencies in provider knowledge. To address this knowledge gap for genetic counselors, we developed, implemented, and analyzed an educational intervention on gender-affirming genetic counseling (GC) and care for TGNB patients. In partnership with the TGNB community, we designed a 5-module (length = 146 min ± 94 min) genetic counseling-targeted online learning program focused on gender-affirming care (Amplify). Content included elements of gender-affirming care, core components of gender-inclusive GC sessions, and cancer risk assessment/management. Video testimonials featuring TGNB individuals complemented learning within each module. Educational outcomes measured included comfort working with TGNB patients (n = 2 multiple choice questions (MCQs)), impact of education on knowledge (n = 25 MCQs), and clinical self-efficacy based on the Accreditation Council for Genetic Counseling competencies (n = 35 skills). Participants (n = 40), recruited through state and national GC organizations, completed all modules, and pre- and post-education/self-efficacy assessments. Pre-Amplify, 65% (n = 26/40) of participants endorsed feeling 'somewhat comfortable' working with TGNB patients. The average knowledge score was 77.6% (SD = 11.2%) with the lowest scores related to the gender affirmation process. After Amplify, overall knowledge improvement was statistically significant with an average 16.9% (p < 0.001) increase in score. Pre-Amplify, the average self-efficacy score was 78.4% (SD = 15.8%) with lowest scores seen in statements surrounding information gathering of family and medical histories. Post-Amplify, overall self-efficacy improvement was statistically significant with an average 13.8% (p < 0.001) increase in score. Linear regression did not identify an impact of practice specialty on participants' knowledge gains or self-efficacy. This study shows online modules are an effective form of gender-affirming care education for GCs. This intervention can positively improve the care practicing genetic counselors provide to patients and inform future decision-making about the development of gender-affirming care education for genetic counselors.


Subject(s)
Counselors , Transgender Persons , Gender Identity , Genetic Counseling , Healthcare Disparities , Humans , Transgender Persons/psychology
3.
Article in English | MEDLINE | ID: mdl-35256281

ABSTRACT

Breast cancer is a complex and heterogeneous disease. Unfortunately, it is the most common malignancy diagnosed in women in the USA, with 281,550 new cases of invasive breast cancer and 49,290 new cases of noninvasive breast cancer are diagnosed per year. In England, it is currently estimated that approximately 1 in 7 (14%) women will be diagnosed with breast cancer in their lifetime. In the UK in 2017, 54,700 women and 390 men were diagnosed with breast cancer. The risk of breast cancer is influenced by many factors, including but not limited to age, family history, reproductive history, hormonal exposure, proliferative breast lesions, physical activity, alcohol use, tobacco use, breast density, and environmental exposures. Breast cancer risk assessment is a critical part of public health. By identifying women at high risk for breast cancer, personalized recommendations can be deployed with regards to modes of screening, the age to initiate breast screening, and the frequency for completing such screens. In addition, breast cancer risk assessment can assist in determining a woman's eligibility for interventions to reduce risk, either through the use of chemoprevention medications or through surgical means with risk-reducing bilateral mastectomy. This chapter summarizes breast cancer risk assessment models and discusses interventions to reduce breast cancer risk to aid in reducing morbidity and mortality from breast cancer.


Subject(s)
Breast Neoplasms , Mastectomy , Breast Neoplasms/diagnosis , Breast Neoplasms/epidemiology , Breast Neoplasms/genetics , Counseling , Female , Genetic Predisposition to Disease , Humans , Male , Risk Assessment
4.
J Natl Compr Canc Netw ; 20(1): 63-70, 2022 01.
Article in English | MEDLINE | ID: mdl-34991067

ABSTRACT

BACKGROUND: Individuals at increased risk for cancer are ascertained at low rates of 1% to 12% in primary care (PC). Underserved populations experience disparities of ascertainment, but data are lacking. INHERET is an online personal and family history tool to facilitate the identification of individuals who are eligible, according to guidelines, to be counseled on germline genetic testing and risk management. PATIENTS AND METHODS: INHERET data entry uses cancer genetics clinic questionnaires and algorithms that process patient data through NCCN Clinical Practice Guidelines in Oncology and best practice guidelines. The tool was tested in silico on simulated and retrospective patients and prospectively in a pilot implementation trial. Patients in cancer genetics and in PC clinics were invited to participate via email or a card. Informed consent was completed online. RESULTS: INHERET aimed to integrate patient data by algorithms based on professional and best practice guidelines to elicit succinct, actionable recommendations that providers can use without affecting clinic workflow or encounter length. INHERET requires a 4th-grade reading level, has simple navigation, and produces data lists and pedigree graphs. Prospective implementation testing revealed understandability of 90% to 100%, ease of use of 85%, and completion rates of 85% to 100%. Physicians using INHERET reported no added time to their encounters when patients were identified for counseling. In a specialty genetics clinic, INHERET's data were input, on average, within 72 hours compared with 4 to 6 weeks through standard care, and the queue for scheduling patients decreased from 400 to fewer than 15 in <6 months. CONCLUSIONS: INHERET was found to be accessible for all education and age levels, except patients aged >70 years, who encountered more technical difficulties. INHERET aided providers in conveying high-risk status to patients and eliciting appropriate referrals, and, in a specialty clinic, it produced improved workflows and shortened queues.


Subject(s)
Genetic Testing , Neoplasms , Aged , Humans , Neoplasms/diagnosis , Neoplasms/epidemiology , Neoplasms/genetics , Primary Health Care , Prospective Studies , Retrospective Studies
5.
J Genet Couns ; 26(3): 469-479, 2017 Jun.
Article in English | MEDLINE | ID: mdl-27465809

ABSTRACT

Type 2 diabetes mellitus (T2DM) genetic testing is undergoing clinical trials to measure the efficacy of genetic counseling for behavior-based risk reduction. The expectations patients bring to the testing process may play an important role in individual outcomes. We conducted a qualitative exploration of anticipated decision-making and expectations around T2DM genetic testing. Semi-structured interviews were completed with Mexican Americans (n = 34), non-Hispanic Black Americans (n = 39), and non-Hispanic White Americans (n = 39) at risk for T2DM. Transcripts were analyzed for themes. Most participants would accept T2DM genetic testing in order to motivate risk-reducing behaviors or apprise family members of their risk. Participants who would decline testing wished to avoid emotional distress or believed the test would not reveal new risk information. Non-Hispanic Whites and those with college education declined genetic testing more often than other groups. Those without college education were more likely to have testing expectations that were discordant with current science, such as conflating genetic testing with common 'blood tests.' Understanding expectations and decision-making factors around T2DM genetic testing will better prepare healthcare professionals to counsel their patients. This may lead to a higher efficacy of T2DM genetic testing and counseling.


Subject(s)
Diabetes Mellitus, Type 2/ethnology , Genetic Counseling/psychology , Genetic Testing/statistics & numerical data , Adult , Black or African American/psychology , Aged , Decision Making , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/genetics , Female , Humans , Male , Mexican Americans/psychology , Middle Aged , Motivation , Qualitative Research , Risk , United States , White People/psychology
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