Investigator

Claire C. Conley

Assistant Professor · Georgetown University, Oncology

Research Interests

CCCClaire C. Conley
Papers(2)
Patterns and predicto…“I think that a brief…
Collaborators(4)
Shelley S. TworogerSusan T VadaparampilAdrianne R. MallenBianca M. Augusto
Institutions(1)
Moffitt Cancer Center

Papers

Patterns and predictors of genetic referral among ovarian cancer patients at a National Cancer Institute‐Comprehensive Cancer Center

Abstract Germline mutations (eg, BRCA1 / 2 ) have prognostic and treatment implications for ovarian cancer (OVCA) patients. Thus, national guidelines recommend genetic testing for OVCA patients. The present study examines patterns and predictors of genetics referral in OVCA patients. Electronic medical record data were abstracted retrospectively from 557 OVCA patients treated from 1 January 2001 to 31 December 2015. Logistic regression models identified sociodemographic characteristics, disease/treatment characteristics, family history data, provider characteristics, and survival data that predicted genetics referral. Overall, 27.5% of patients received referral. Eleven variables predicting referral were selected during stepwise regression: younger age, White race, not having private insurance, professional school education, year of OVCA diagnosis, platinum sensitivity, female gynecologic oncologist, chemotherapy administered by a gynecologic oncologist, clinical trial enrollment, longer overall survival, and family history of OVCA. Genetics referral among OVCA patients was similar to rates reported nationwide. Unique predictive factors will contribute to quality improvement and should be validated at a multi‐institutional level to ensure guideline concordant care is provided to all OVCA patients. Future research should identify both patient‐level and provider‐level factors associated with genetics referral.

“I think that a brief conversation from their provider can go a very long way”: Patient and provider perspectives on barriers and facilitators of genetic testing after ovarian cancer

Identify predisposing, enabling, and reinforcing factors impacting genetic counseling/testing among ovarian cancer patients guided by Green and Kreuter's PRECEDE-PROCEED model. Gynecologic oncology providers (N = 4), genetic counselors (N = 4), and ovarian cancer patients (N = 9) completed semi-structured qualitative interviews exploring participants' knowledge of and experiences with genetic counseling/testing. Interviews were audio recorded, transcribed verbatim, and analyzed using inductive content analysis by two independent raters. Thematic analysis identified predisposing, enabling, and reinforcing factors impacting referral for and uptake of genetic counseling/testing. Predisposing factors included participant's knowledge, beliefs, and attitudes related to genetic counseling/testing. Both patients and providers also cited that insurance coverage and out-of-pocket cost are major concerns for ovarian cancer patients considering genetic testing. Finally, both patients and providers emphasized that genetic counseling/testing would provide additional information to an ovarian cancer patient. While providers emphasized that genetic testing results were useful for informing a patient's personal treatment plan, patients emphasized that this knowledge would be beneficial for their family members. Barriers to genetic testing for ovarian cancer patients exist at multiple levels, including the patient (e.g., knowledge, attitudes), the provider (e.g., workload, availability of services), the institution (e.g., difficulty with referrals/scheduling), and the healthcare system (e.g., insurance/cost). Interventions aiming to increase genetic testing among ovarian cancer patients will likely need to target multiple levels of influence. Future quantitative studies are needed to replicate these results. This line of work will inform specific multilevel intervention strategies that are adaptable to different practice settings, ultimately improving guideline concordant care.

44Works
2Papers
4Collaborators
Breast NeoplasmsCancer SurvivorsNeoplasmsOvarian NeoplasmsEarly Detection of CancerColorectal NeoplasmsGenetic Predisposition to DiseaseLung Neoplasms

Positions

2020–

Assistant Professor

Georgetown University · Oncology

2018–

Applied Postdoctoral Fellow

H. Lee Moffitt Cancer Center · Health Outcomes and Behavior

Education

2018

Graduate Research Assistant

The Ohio State University · Psychology

2014

MA

The Ohio State University · Psychology

2012

BA

University of Notre Dame · Psychology

Keywords
cancerquality of life
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