Informing the delivery of cancer survivorship care in rural primary care practice.

PURPOSE: The cancer survivor population is projected to increase to 22.2 million by 2030, requiring improved collaboration between oncology and primary care practices (PCP). PCPs may feel ill-equipped to provide cancer survivorship care to patients without input from cancer specialists. Compared with nonrural cancer survivors, rural cancer survivors report experiencing worse treatment-related symptoms. The goal of this study was to gain a better understanding of the perspectives of PCP teams towards survivorship care and to develop and test an interdisciplinary training program to improve cancer survivorship care in rural practice. METHODS: This study was conducted in two phases. First, focus groups were conducted with rural PCP teams to gather information regarding beliefs, practices, and barriers related to cancer survivorship care delivery. A thematic analysis was completed using an iterative process of reviewing transcripts. Results from phase 1 were used to inform the development of a pilot intervention tested within seven rural PCPs (phase 2). Pre- and post-intervention knowledge changes were compared, and post-session interviews assessed planned or sustained practice changes. RESULTS: Seven PCPs participated in focus groups (phase 1). Cross-cutting themes identified included (1) organizational barriers affecting the delivery of cancer survivorship care, (2) challenges of role delineation with specialists and patients, (3) difficulty accessing survivorship care and resources, and (4) providers' lack of knowledge of cancer survivorship care. For phase 2, seven practices participated in four case-based educational sessions. Within and between practice changes were identified. CONCLUSION: This project explored cancer survivorship perspectives among PCP teams. Lack of familiarity with evidence-based guidelines and the inability to identify cancer survivors was apparent during discussions and led to the implementation of the phase 2 intervention, iSurvive. As a result, PCPs either changed or planned changes to improve the identification and evidence-based care of cancer survivors. IMPLICATIONS FOR CANCER SURVIVORS: Address barriers to access cancer survivorship care in rural primary care practices.

Short-term breast cancer prediction by random periareolar fine-needle aspiration cytology and the Gail risk model.

BACKGROUND: : Biomarkers are needed to refine short-term breast cancer risk estimates from epidemiologic models and to measure response to prevention interventions. The purpose of our study was to determine whether the cytologic appearance of epithelial cells obtained from breast random periareolar fine-needle aspirates or molecular marker expression in these cells was associated with later breast cancer development. METHODS: : Four hundred eighty women who were eligible on the basis of a family history of breast cancer, prior precancerous biopsy, and/or prior invasive cancer were enrolled in a single-institution, prospective trial. Their risk of breast cancer according to the Gail model was calculated, and random periareolar fine-needle aspiration was performed at study entry. Cells were characterized morphologically and analyzed for DNA aneuploidy by image analysis and for the expression of epidermal growth factor receptor, estrogen receptor, p53 protein, and HER2/NEU protein by immunocytochemistry. All statistical tests are two-sided. RESULTS: : At a median follow-up time of 45 months after initial aspiration, 20 women have developed breast cancer (invasive disease in 13 and ductal carcinoma in situ in seven). With the use of multiple logistic regression and Cox proportional hazards analysis, subsequent cancer was predicted by evidence of hyperplasia with atypia in the initial fine-needle aspirate and a 10-year Gail projected probability of developing breast cancer. Although expression of epidermal growth factor receptor, estrogen receptor, p53, and HER2/NEU was statistically significantly associated with hyperplasia with atypia, it did not predict the development of breast cancer in multivariable analysis. CONCLUSION: : Cytomorphology from breast random periareolar fine-needle aspirates can be used with the Gail risk model to identify a cohort of women at very high short-term risk for developing breast cancer. We recommend that cytomorphology be studied for use as a potential surrogate end point in prevention trials.