Developing the future Indigenous health workforce: The feasibility and impact of a student-led placement programme in remote Indigenous communities.

OBJECTIVE: To describe and evaluate a programme where medical students designed and implemented Indigenous health placements for students with an interest in rural/Indigenous health. DESIGN, SETTING AND PARTICIPANTS: In 2011, a student-led programme at the University of Adelaide was set up to give medical students the opportunity to undertake outreach trips and clinical placements in remote Indigenous communities. Twenty-four medical students attended trips to remote communities between 2012 and 2014. Here we evaluate our programme using a single-arm experimental design. MAIN OUTCOME MEASURES: Responses to questionnaire items before and after attending an outreach placement, scored on 6-point Likert scales. RESULTS: Following their remote Indigenous health placement, participants expressed a significantly higher mean likelihood of working in an Indigenous community in the future (3.17 (2.69-3.64) versus 4.00 (3.65-4.35); P < 0.007). Furthermore, after their placement participants felt better prepared to work in Indigenous communities (mean 1.79 (1.44-2.14) versus 3.21 (2.88-3.54); P < 0.001). CONCLUSIONS: A placement programme initiated and run by medical students can provide meaningful exposure to Indigenous health. Implementation of this student-led model in other medical schools may encourage nationwide development of the Indigenous health workforce.

Time to breast cancer relapse predicted by primary tumour characteristics, not lymph node involvement.

INTRODUCTION: The risk of breast cancer recurrence has been linked to tumour size, grade, oestrogen (ER) receptor status, and degree of lymph node (LN) involvement. However, the role of these variables in predicting time to relapse is not well defined. This study was designed to identify patient and primary tumour characteristics that predict risk periods for breast cancer recurrence within our institution, to enable more tailored surveillance strategies. METHODS: We retrospectively studied a cohort of 473 patients who presented to The Queen Elizabeth Hospital, Adelaide, Australia, with recurrent breast cancer between 1968 and 2008. Patient and primary tumour characteristics were collected, including age, menopausal status, tumour grade, size, ER and progesterone receptor (PR) status, and LN involvement and modeled against time to relapse using Kaplan-Meier survival curves. RESULTS: High tumour grade, size ≥ 20 mm, ER negativity, and PR negativity were shown on univariate analysis to correlate significantly with earlier recurrence (P < 0.0001, P = 0.0012, P = 0.0006, and P = 0.006). Multivariate analysis identified tumour grade and size as significant predictors of timing of relapse after adjustment for other variables. LN involvement, menopausal status, and age did not significantly correlate with earlier recurrence. CONCLUSIONS: High tumour grade and larger size were shown to independently predict earlier breast cancer relapse. While LN involvement increases absolute recurrence risk, our study proposes that it does not influence timing of relapse. Use of these predictors will enable key risk periods for onset of relapse to be characterised according to tumour profile with more appropriate discharge to primary care providers for ongoing surveillance.