Seven steps to redistributing doctors to meet health needs better

A Qualitative and Semiquantitative Exploration of the Experience of a Rural and Regional Clinical Placement Programme

In many countries, including New Zealand, recruitment of medical practitioners to rural and regional areas is a government priority, yet evidence for what determines career choice remains limited. We studied 19 newly qualified medical practitioners, all of whom had participated in a year-long undergraduate rural or regional placement (the Pūkawakawa Programme). We explored their placement experiences through focus groups and interviews and aimed to determine whether experiential differences existed between those who chose to return to a rural or regional location for early career employment (the Returners) and those who did not (the Non-Returners). Focus group and interview transcripts were a mean (range) length of 6485 (4720-7889) and 3084 (1843-4756) words, respectively, and underwent thematic analysis. We then used semiquantitative analysis to determine the relative dominance of themes and subthemes within our thematic results. Placement experiences were overwhelming positive - only four themes emerged for negative experiences, but five themes and nine subthemes emerged for positive experiences. Many curricular aspects of the placement experience were viewed as similarly positive for Returners and Non-Returners, as were social aspects with fellow students. Hence, positive experiences per se appear not to differentiate Returner and Non-Returner groups and so seem unlikely to be related to decisions about practice location. However, Returners reported a substantially higher proportion of positive placement experiences related to feeling part of the clinical team compared with Non-Returners (11% vs 4%, respectively) - a result consistent with Returners also reporting more positive experiences related to learning and knowledge gained and personal development.

Medical Graduates, Truthful and Useful Analytics With Big Data, and the Art of Persuasion

The authors propose that the provision of state-of-the-art, effective, safe, and affordable health care requires medical school graduates not only to be competent practitioners and scientists but also to be policy makers and professional leaders. To meet this challenge in the era of big data and cloud computing, these graduates must be able to understand and critically interpret analyses of large, observational datasets from electronic health records, third-party claims files, surveys, and epidemiologic health datasets.The authors contend that medical students need to be exposed to three components. First, students should be familiar with outcome metrics that not only are scientifically valid but also are robust, useful for the medical community, understandable to patients and relevant to their preferences and health goals, and persuasive to health administrators and policy decision makers. Next, students must interact with an inclusive set of analysts including biostatisticians, mathematical and computational statisticians, econometrists, psychometricians, epidemiologists, informaticians, and qualitative researchers. Last, students should learn in environments in which data analyses are not static with a "one-size-fits-all" solution but, rather, where mathematical and computer scientists provide new, innovative, and effective ways of solving predictable and commonplace data limitations such as missing data; make causal inferences from nonrandomized studies and/or those with selection biases; and estimate effect size when patient outcomes are heterogeneous and surveys have low response rates.