Sequential EHR Based Interventions to Increase Genetic Testing for Breast and Ovarian Cancer Predisposition

NCT05721326CompletedNAINTERVENTIONAL

Summary

Key Facts

Lead Sponsor

Abramson Cancer Center at Penn Medicine

Enrollment

1330

Start Date

2023-05-01

Completion Date

2025-12-31

Study Type

INTERVENTIONAL

Official Title

Sequential EHR Based Interventions to Increase Genetic Testing for Breast and Ovarian Cancer Predisposition Across Diverse Patient Populations in Gynecology Practices at Penn Medicine

Interventions

Sequential EHR Communications

Conditions

Genetic Predisposition to DiseaseBreast Cancer FemaleOvarian CancerHereditary Breast and Ovarian CancerHereditary Cancer SyndromeHereditary DiseasesGene Mutation-Related Cancer

Eligibility

Age Range

25 Years – 100 Years

Sex

FEMALE

Inclusion Criteria:

1. Patients with serous ovarian cancer diagnosed more than two years prior to study contact
2. Patients with breast cancer diagnosed at \<50 years of age more than two years prior to study contact
3. Patients with triple negative breast cancer diagnosed more than two years prior to study contact
4. Unaffected individuals reporting a family history of ovarian cancer
5. Unaffected individuals reporting a family history of male breast cancer
6. Unaffected individuals reporting a family history of breast cancer \<50 years

Exclusion Criteria:

1\. Patients who have previously received genetic counseling and/or testing

Outcome Measures

Primary Outcomes

Number of Genetic Counseling Appointments Completed Following MPM Delivery

Scheduling and completion of genetic counseling appointments will be monitored through EHR. MPM stands for MyPennMedicine message which will be sent directly to the patient through the medical record.

Time frame: Within six months of MPM delivery

Number of Genetic Counseling Appointments Completed Following Provider Nudge

Scheduling and completion of genetic counseling appointments will be monitored through EHR. The provider nudge will be delivered as a Best Practice Alert (BPA) upon opening the patient's chart.

Time frame: Within six months of provider nudge

Secondary Outcomes

Open Rate of MPM

The proportion of eligible participants who open the invitation to receive genetic counseling and testing compared to the total amount of eligible participants sent an MPM.

Time frame: Within one month of receiving MPM

Response Rate of Way To Health text

The proportion of eligible participants who respond to a text message invitation to receive genetic counseling and testing compared to the total amount of eligible participants sent a Way To Health (WTH) text.

Time frame: Within one month of receiving text

Locations

Abramson Cancer Center of the University of Pennsylvania, Philadelphia, United States

Linked Papers

2023-11-06

Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices

Abstract Background Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (&lt; 50 years) breast cancer, and a family history of ovarian cancer or male breast cancer. Genetic testing is underused overall, and rates are consistently lower among Black and Hispanic populations. Behavioral economics-informed implementation strategies, or nudges, directed towards patients and clinicians may increase the use of this evidence-based clinical practice. Methods Patients meeting eligibility for germline genetic testing for breast and ovarian cancer will be identified using electronic phenotyping algorithms. A pragmatic cohort study will test three sequential strategies to promote genetic testing, two directed at patients and one directed at clinicians, deployed in the electronic health record (EHR) for patients in OB-GYN clinics across a diverse academic medical center. We will use rapid cycle approaches informed by relevant clinician and patient experiences, health equity, and behavioral economics to optimize and de-risk our strategies and methods before trial initiation. Step 1 will send patients messages through the health system patient portal. For non-responders, step 2 will reach out to patients via text message. For non-responders, Step 3 will contact patients’ clinicians using a novel “pend and send” tool in the EHR. The primary implementation outcome is engagement with germline genetic testing for breast and ovarian cancer predisposition, defined as a scheduled genetic counseling appointment. Patient data collected through the EHR (e.g., race/ethnicity, geocoded address) will be examined as moderators of the impact of the strategies. Discussion This study will be one of the first to sequentially examine the effects of patient- and clinician-directed strategies informed by behavioral economics on engagement with breast and ovarian cancer genetic testing. The pragmatic and sequential design will facilitate a large and diverse patient sample, allow for the assessment of incremental gains from different implementation strategies, and permit the assessment of moderators of strategy effectiveness. The findings may help determine the impact of low-cost, highly transportable implementation strategies that can be integrated into healthcare systems to improve the use of genomic medicine. Trial registration ClinicalTrials.gov. NCT05721326. Registered February 10, 2023. https://www.clinicaltrials.gov/study/NCT05721326

2022-07-01

Patient and Clinician Decision Support to Increase Genetic Counseling for Hereditary Breast and Ovarian Cancer Syndrome in Primary Care

To promote the identification of women carrying BRCA1/2 variants, the US Preventive Services Task Force recommends that primary care clinicians screen asymptomatic women for an increased risk of carrying a BRCA1/2 variant risk. To examine the effects of patient and clinician decision support about BRCA1/2 genetic testing compared with standard education alone. This clustered randomized clinical trial was conducted at an academic medical center including 67 clinicians (unit of randomization) and 187 patients. Patient eligibility criteria included women aged 21 to 75 years with no history of breast or ovarian cancer, no prior genetic counseling or testing for hereditary breast and ovarian cancer syndrome (HBOC), and meeting family history criteria for BRCA1/2 genetic testing. RealRisks decision aid for patients and the Breast Cancer Risk Navigation Tool decision support for clinicians. Patients scheduled a visit with their clinician within 6 months of enrollment. The primary end point was genetic counseling uptake at 6 months. Secondary outcomes were genetic testing uptake at 6 and 24 months, decision-making measures (perceived breast cancer risk, breast cancer worry, genetic testing knowledge, decision conflict) based upon patient surveys administered at baseline, 1 month, postclinic visit, and 6 months. From December 2018 to February 2020, 187 evaluable patients (101 in the intervention group, 86 in the control group) were enrolled (mean [SD] age: 40.7 [13.2] years; 88 Hispanic patients [46.6%]; 15 non-Hispanic Black patients [8.1%]; 72 non-Hispanic White patients [38.9%]; 35 patients [18.9%] with high school education or less) and 164 (87.8%) completed the trial. There was no significant difference in genetic counseling uptake at 6 months between the intervention group (20 patients [19.8%]) and control group (10 patients [11.6%]; difference, 8.2 percentage points; OR, 1.88 [95% CI, 0.82-4.30]; P = .14). Genetic testing uptake within 6 months was also statistically nonsignificant (13 patients [12.9%] in the intervention group vs 7 patients [8.1%] in the control group; P = .31). At 24 months, genetic testing uptake was 31 patients (30.7%) in intervention vs 18 patients (20.9%) in control (P = .14). Comparing decision-making measures between groups at baseline to 6 months, there were significant decreases in perceived breast cancer risk and in breast cancer worry (standard mean differences = -0.48 and -0.40, respectively). This randomized clinical trial did not find a significant increase in genetic counseling uptake among patients who received patient and clinician decision support vs those who received standard education, although more than one-third of the ethnically diverse women enrolled in the intervention underwent genetic counseling. These findings suggest that the main advantage for these high-risk women is the ability to opt for screening and preventive services to decrease their cancer risk. ClinicalTrials.gov Identifier: NCT03470402.

2021-12-09

Psychosocial factors associated with genetic testing status among African American women with ovarian cancer: Results from the African American Cancer Epidemiology Study

BackgroundRacial disparities in the uptake of cancer genetic services are well documented among African American (AA) women. Understanding the multiple social and psychological factors that can influence the uptake of genetic testing among AA women is needed.MethodsData came from 270 AA women diagnosed with ovarian cancer and participating in a population‐based, case‐control study of ovarian cancer who were asked about genetic testing. Logistic regression analyses tested the associations of predisposing, enabling, and need factors with reported genetic testing uptake.ResultsOne‐third of the sample (35%) reported having had genetic testing. In the multivariable model, AA women with higher incomes had more than double the odds of being tested than those with the lowest income (odds ratio [OR] for $25,000‐$74,999, 2.04; 95% confidence interval [CI], 1.06‐3.99; OR for ≥$75,000, 2.32; 95% CI, 0.92‐5.94). AA women who reported employment discrimination were significantly less likely to report genetic testing than those who did not report job discrimination (OR, 0.39; 95% CI, 0.14‐0.95). Marital status, Medicaid versus other insurance, prayer frequency, and perceived social support were significantly associated with genetic testing uptake in bivariate analyses but were not significant contributors in multivariable analyses.ConclusionsConsistent with other studies of AA women, a minority of African American Cancer Epidemiology Study participants had undergone genetic testing. Having a lower income and experiencing job discrimination decreased the likelihood of testing. These results provide foundational evidence supporting the need for interventions to improve the uptake of genetic testing among AA women by reducing cost barriers and providing credible assurances that genetic results will be kept private and not affect social factors such as employability.

2021-05-12

Ovarian cancer population screening and mortality after long-term follow-up in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial

Ovarian cancer continues to have a poor prognosis with the majority of women diagnosed with advanced disease. Therefore, we undertook the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) to determine if population screening can reduce deaths due to the disease. We report on ovarian cancer mortality after long-term follow-up in UKCTOCS. In this randomised controlled trial, postmenopausal women aged 50-74 years were recruited from 13 centres in National Health Service trusts in England, Wales, and Northern Ireland. Exclusion criteria were bilateral oophorectomy, previous ovarian or active non-ovarian malignancy, or increased familial ovarian cancer risk. The trial management system confirmed eligibility and randomly allocated participants in blocks of 32 using computer generated random numbers to annual multimodal screening (MMS), annual transvaginal ultrasound screening (USS), or no screening, in a 1:1:2 ratio. Follow-up was through national registries. The primary outcome was death due to ovarian or tubal cancer (WHO 2014 criteria) by June 30, 2020. Analyses were by intention to screen, comparing MMS and USS separately with no screening using the versatile test. Investigators and participants were aware of screening type, whereas the outcomes review committee were masked to randomisation group. This study is registered with ISRCTN, 22488978, and ClinicalTrials.gov, NCT00058032. Between April 17, 2001, and Sept 29, 2005, of 1 243 282 women invited, 202 638 were recruited and randomly assigned, and 202 562 were included in the analysis: 50 625 (25·0%) in the MMS group, 50 623 (25·0%) in the USS group, and 101 314 (50·0%) in the no screening group. At a median follow-up of 16·3 years (IQR 15·1-17·3), 2055 women were diagnosed with tubal or ovarian cancer: 522 (1·0%) of 50 625 in the MMS group, 517 (1·0%) of 50 623 in the USS group, and 1016 (1·0%) of 101 314 in the no screening group. Compared with no screening, there was a 47·2% (95% CI 19·7 to 81·1) increase in stage I and 24·5% (-41·8 to -2·0) decrease in stage IV disease incidence in the MMS group. Overall the incidence of stage I or II disease was 39·2% (95% CI 16·1 to 66·9) higher in the MMS group than in the no screening group, whereas the incidence of stage III or IV disease was 10·2% (-21·3 to 2·4) lower. 1206 women died of the disease: 296 (0·6%) of 50 625 in the MMS group, 291 (0·6%) of 50 623 in the USS group, and 619 (0·6%) of 101 314 in the no screening group. No significant reduction in ovarian and tubal cancer deaths was observed in the MMS (p=0·58) or USS (p=0·36) groups compared with the no screening group. The reduction in stage III or IV disease incidence in the MMS group was not sufficient to translate into lives saved, illustrating the importance of specifying cancer mortality as the primary outcome in screening trials. Given that screening did not significantly reduce ovarian and tubal cancer deaths, general population screening cannot be recommended. National Institute for Health Research, Cancer Research UK, and The Eve Appeal.

Linked Investigators

Edward S Peters

Dr. Peters is Professor and Chair of the UNMC College of Public Health’s Epidemiology Program. He also holds the Tim Hawks Chair Cancer Prevention and Population Science. Dr. Peters has been at the UNMC College of Public Health since 2021 and before that was at the LSU School of Public Health for 17 years. Dr. Peters received a BA in Biology from Clark University in 1985 and a DMD from the University of Connecticut School of Dentistry in 1990. He completed a residency in General Dentistry at Brigham and Women's Hospital in 1991 and a Clinical Fellowship in Oral Medicine at Brigham and Women's Hospital and the Dana-Farber Cancer Institute in 1993. Dr. Peters earned an SM in Health Policy and Management and an ScD in Epidemiology from Harvard University School of Public Health in 1993 and 1999, respectively. He completed his residency in Dental Public Health at the Harvard School of Dental Medicine in 1996 and became a Diplomate of the Board of Dental Public Health in 2000. He received the James M. Dunning Award for Excellence in Health Care Delivery and Research from Harvard University in 2000 and the Dr. Allen A. Copping Award for Excellence in Teaching, from LSUHSC New Orleans in 2010. Dr. Peters’ contributions have been recognized through numerous honors, including UNMC’s 2024 Distinguished Scientist Award and elected as a Fellow of the American College of Epidemiology. His publication record includes over 100 peer-reviewed articles in high-impact journals. Dr. Peters’ research interests focus on using epidemiologic tools to examine disparities of chronic diseases. This research examines the effects of social determinants of health on disparate disease outcomes through a transdisciplinary perspective. He has active research projects in oral, ovarian, and prostate cancers. Through his DECODE Lab at UNMC, Dr. Peters examines how social determinants influence cancer disparities through biological mechanisms such as epigenetic aging and chronic inflammation. His NIH-funded research on environmental stressors and accelerated biological aging represents a novel integration of social epidemiology with molecular biomarkers. Current projects investigate neighborhood-level factors, psychosocial stress, and genomic susceptibility in ovarian, prostate, and colorectal cancer.