Retrospective evaluation of Penguin Cold Caps for chemotherapy-induced alopecia.

BACKGROUND: Scalp cooling is an increasingly recognized non-pharmacologic approach to minimize chemotherapy-induced alopecia (CIA). Several commercially available machine-based and manual scalp cooling systems are available; however, literature reports of effectiveness are highly variable. The purpose of this study was to determine real-world tolerability and subjective effectiveness of a manual cold capping system in minimizing CIA across a variety of patient race and hair types. This study was a single-institution review of outcomes from manual cold capping. METHODS: We identified retrospective cohort of adult patients who presented to discuss cold capping between January 14, 2019, and March 31, 2022. Data collected from medical records included demographics, decision to pursue/continue cold capping, diagnoses, chemotherapy regimens, hair characteristics (length, thickness, coarseness, type), and subjective perception of percentage of hair retained. Those with successful vs. unsuccessful cold capping (≥ 50% vs. < 50% of hair retained) were compared based on the patient-level factors of interest. FINDINGS: A total of 100 patients initiated cold capping during the study period, and 95% of them completed cold capping. The majority of patients who started cold capping completed it. The median-reported percentage of hair maintained was 75%, and 82/89 (92.1% of patients) had favorable results, defined as ≥ 50% of hair retained. The only patient-level factor associated with favorable response was chemotherapy regimen, with fewer patients receiving doxorubicin-containing regimens having successful hair retention compared to other chemotherapy types (71.4% successful results vs. 95.7% for those receiving paclitaxel-containing regimens and 96.6% for those receiving docetaxel-containing regimens (p = 0.018). There was no difference in success based on patient race/ethnicity or hair characteristics. INTERPRETATION: The overall effectiveness (92.1%) in this study is consistent to higher than many literature reports. One possible reason for the high success in our cohort is compliance with cold capping protocols, meaning applying the cap in the appropriate manner and wearing the cap for the prescribed durations, which may impact effectiveness.

Outcomes of the "BRCA Quality Improvement Dissemination Program": An initiative to improve patient receipt of cancer genetics services at five health systems.

OBJECTIVE: A quality improvement initiative (QII) was conducted with five community-based health systems' oncology care centers (sites A-E). The QII aimed to increase referrals, genetic counseling (GC), and germline genetic testing (GT) for patients with ovarian cancer (OC) and triple-negative breast cancer (TNBC). METHODS: QII activities occurred at sites over several years, all concluding by December 2020. Medical records of patients with OC and TNBC were reviewed, and rates of referral, GC, and GT of patients diagnosed during the 2 years before the QII were compared to those diagnosed during the QII. Outcomes were analyzed using descriptive statistics, two-sample t-test, chi-squared/Fisher's exact test, and logistic regression. RESULTS: For patients with OC, improvement was observed in the rate of referral (from 70% to 79%), GC (from 44% to 61%), GT (from 54% to 62%) and decreased time from diagnosis to GC and GT. For patients with TNBC, increased rates of referral (from 90% to 92%), GC (from 68% to 72%) and GT (81% to 86%) were observed. Effective interventions streamlined GC scheduling and standardized referral processes. CONCLUSION: A multi-year QII increased patient referral and uptake of recommended genetics services across five unique community-based oncology care settings.

Implementation and outcome evaluations of a multi-site improvement program in cancer genetics.

Program evaluation can identify the successes and challenges of implementing clinical programs, which can inform future dissemination efforts. A cancer genetics improvement program, disseminated from the Lead Team's institution to five health systems (Participating Sites), was genetic counselor led, using virtual implementation facilitation to support Participating Sites' performance of quality improvement (QI) activities over several years. Program implementation and outcome evaluations were performed and included evaluation of program delivery and initial effects of the program on Participating Sites. A logic model guided evaluation of program implementation (inputs, activities, outputs, delivery/fidelity, and coverage/reach) and initial outcomes (short-term and intermediate outcomes). Data were collected from program documents and an Evaluation Survey of Participating Site team members (21 respondents), compared against the Lead Team's expectations of participation, and analyzed using descriptive statistics. All program inputs, outputs, and activities were available and delivered as expected across the five Participating Sites. The most frequently used activities and inputs were facilitation-associated meetings and meeting resources, which were rated as useful/helpful by the majority of respondents. Nearly all respondents noted improvement in short-term outcomes following participation: 82.4% reported increased awareness of clinical processes, 94.1% increased knowledge of QI methods, 100% reported increased perceived importance of QI, 94.1% increased perceived feasibility of QI, and 76.5% reported increased problem-solving skills and self-efficacy to use QI at their site. Intermediate outcomes (identifying barriers, developing interventions, improved teamwork, and capacity) were achieved following program participation as indicated by the results of the program document review and Evaluation Survey responses. Implementation challenges at Participating Sites included staffing constraints, difficulties obtaining buy-in and participation, and developing interventions over time. The multi-site improvement program was delivered and implemented with high levels of fidelity and resulted in improved short and intermediate outcomes. Future research will evaluate long-term, patient-level outcomes associated with site-specific QI interventions.

Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings.

An environmental scan (ES) is an efficient mixed-methods approach to collect and interpret relevant data for strategic planning and project design. To date, the ES has not been used nor evaluated in the clinical cancer genetics setting. We created and implemented an ES to inform the design of a quality improvement (QI) project to increase the rates of adherence to national guidelines for cancer genetic counseling and genetic testing at three unique oncology care settings (OCS). The ES collected qualitative and quantitative data from reviews of internal processes, past QI efforts, the literature, and each OCS. The ES used a data collection form and semi-structured interviews to aid in data collection. The ES was completed within 6 months, and sufficient data were captured to identify opportunities and threats to the QI project's success, as well as potential barriers to, and facilitators of guideline-based cancer genetics services at each OCS. Previously unreported barriers were identified, including inefficient genetic counseling appointment scheduling processes and the inability to track referrals, genetics appointments, and genetic test results within electronic medical record systems. The ES was a valuable process for QI project planning at three OCS and may be used to evaluate genetics services in other settings.