Cervical Cancer: Preventable Deaths Among American Indian/Alaska Native Communities.

American Indian/Alaska Native (AI/AN) individuals have twice the mortality rate of cervical cancer than the general US population. Participation in prevention programs such as cervical cancer screening and human papillomavirus (HPV) vaccination are under-utilized in this population. There are high rates of established cervical cancer risk factors among this community, with AI/AN people having a higher likelihood of infection with high-risk HPV strains not included in the 9-valent vaccine. There is a need for more robust and urgent prevention and treatment efforts in regard to cervical cancer in the AI/AN community.

Implementation of App-Based Diabetes Medication Management: Outpatient and Perioperative Clinical Decision Support.

PURPOSE OF REVIEW: Outpatient and perioperative therapeutic decision making for patients with diabetes involves increasingly complex medical-decision making due to rapid advances in knowledge and treatment modalities. We sought to review mobile decision support tools available to clinicians for this essential and increasingly difficult task, and to highlight the development and implementation of novel mobile applications for these purposes. RECENT FINDINGS: We found 211 mobile applications related to diabetes from the search, but only five were found to provide clinical decision support for outpatient diabetes management and none for perioperative decision support. We found a dearth of tools for clinicians to navigate these tasks. We highlight key aspects for effective development of future diabetes decision support. These include just-in-time availability, respect for the five rights of clinical decision support, and integration with clinical workflows including the electronic medical record.

Impact of a Targeted Rural and Underserved Track on Medical Student Match Into Family Medicine and Other Needed Workforce Specialties.

BACKGROUND AND OBJECTIVES: There is a shortage of physicians in rural communities in the United States. More than other types of primary care physicians, family physicians are the foundation for care in rural areas.1 There are also critical shortages of other specialties such as general surgery, pediatrics, internal medicine, and psychiatry in rural America.2-7 This study assessed student participation in the University of Washington School of Medicine's (UWSOM) Targeted Rural Underserved Track (TRUST) program as a predictor for family medicine (FM) and needed workforce specialty residency match. METHODS: The study group was 156 medical students from 2009-2014; 102 were accepted to the TRUST program compared to a control group of 54 who were not accepted into the TRUST program but did matriculate to UWSOM. Student characteristics for the two groups were compared using t tests. Logistic regression analysis determined whether acceptance in TRUST predicted the outcomes measures of FM residency match or residency match into a needed rural physician workforce specialty; t tests compared match rates to family medicine for TRUST applicants and graduates, UWSOM graduates, and US allopathic seniors. RESULTS: TRUST program graduates had the same FM residency match rate and match rate in needed workforce specialties as the control group. The FM match rate for TRUST graduates was 29.1% compared to UWSOM at 16.9% and US seniors at 8.7% (P<.001). CONCLUSIONS: Although match rates in FM and needed workforce specialties were not different in accepted versus not accepted groups, all TRUST applicants had an FM match rate that approaches 30%, which is higher than the general UWSOM class and the United States. In order to help reach the goal of 25% of medical students matching into FM by 2030, medical schools should consider having a rural program and using rural-focused admissions widely.

Association of Family Medicine Interest at Matriculation to Medical School and FMIG Participation With Eventual Practice as a Family Physician.

BACKGROUND AND OBJECTIVES: An adequate family medicine workforce is needed to improve health and health care outcomes in the United States, yet few medical students in the US become family physicians. Indicators of family medicine interest upon medical school matriculation exist. Family medicine interest groups (FMIGs) may influence student choice. This study examines the association of FMIG participation with various matriculation interest indicators to predict which students go on to become family physicians. METHODS: The American Medical Association Masterfile was used to identify the practice specialty of 601 graduates of the University of Washington School of Medicine who matriculated between 2003 and 2007. Graduates' scores on the Family Medicine Interest Survey (FMIS) and whether a student listed family medicine as their top choice upon matriculation along with FMIG participation and demographic characteristics were used in a binary logistic regression model to predict eventual practice. The model output was used to calculate odds ratios and predicted probabilities of family medicine practice given initial family medicine interest and FMIG participation. RESULTS: FMIG participation was associated with higher odds ratios and increased predicted probability of becoming a family physician regardless of initial interest although the magnitude of the difference varied. FMIG participants who listed family medicine as their top specialty had a 68% predicted probability of entering family medicine compared to 8% probability if they did not list family medicine first and did not participate in FMIG. FMIG participation was associated with odds ratios between 3.27-4.19 for entering family medicine regardless of FMIS score. CONCLUSIONS: Among University of Washington students with family medicine as their top specialty choice upon matriculation, FMIG participation was associated with higher odds of entering the specialty. The same was true, although to a lesser degree, for students who had a high score on the FMIS.