The politics of medical curriculum accreditation : thoughts, not facts?

The medical profession needs to adapt to the socio-political challenges of the 21st century. These have been described as the ‘Health Society’. Medical professionalism, however, is characterised by conservative values that are perpetuated by the professional attributes of autonomy, authority, and state-sanctioned altruism. The medical education enterprise is a replication and continuation of these values, sanctioned by its accreditation agencies. The Australian Medical Council through its accreditation standards only sanctions the formal curriculum. The status quo, however, is maintained by social, cultural and political parameters enmeshed in the informal and hidden curricula. By not addressing informal and hidden value constructs that maintain elitist medical arrogance the accreditation agency fails to uphold its remit. This paper explores the philosophical and empirical bases of these phenomena and illustrates them by means of a case study. Medical education and its sanctioning structure and agency are confirmed as forceful political enterprises. We conclude that explicit review of the informal and hidden curriculum is a feasible and necessary prerequisite for medical education reform and change.

There are plenty of medical problems, but only one real crisis

Fixing the disgraceful state of indigenous health conditions would benefit us all in the long-term, writes Jim Hyde.

Impact of medical Qigong on quality of life, fatigue, mood and inflammation in cancer patients : a randomized controlled trial

Background: Substantial numbers of cancer patients use complementary medicine therapies, even without a supportive evidence base. This study aimed to evaluate in a randomized controlled trial, the use of Medical Qigong (MQ) compared with usual care to improve the quality of life (QOL) of cancer patients. Patients and methods: One hundred and sixty-two patients with a range of cancers were recruited. QOL and fatigue were measured by Functional Assessment of Cancer Therapy—General and Functional Assessment of Cancer Therapy—Fatigue, respectively, and mood status by Profile of Mood State. The inflammatory marker serum C-reactive protein (CRP) was monitored serially. Results: Regression analysis indicated that the MQ group significantly improved overall QOL (t144 = −5.761, P < 0.001), fatigue (t153 = −5.621, P < 0.001), mood disturbance (t122 =2.346, P = 0.021) and inflammation (CRP) (t99 = 2.042, P < 0.044) compared with usual care after controlling for baseline variables. Conclusions: This study indicates that MQ can improve cancer patients’ overall QOL and mood status and reduce specific side-effects of treatment. It may also produce physical benefits in the long term through reduced inflammation.

Demographic and socio-cultural correlates of medical mistrust in two Australian states:Victoria and South Australia

Studies on medical mistrust have mainly focused on depicting the association between medical mistrust and access/utilization of healthcare services. The effect of broader socio-demographic and psycho-social factors on medical mistrust remains poorly documented. The study examined the effect of broader socio-demographic factors, acculturation, and discrimination on medical mistrust among 425 African migrants living in Victoria and South Australia, Australia. After adjusting for socio-demographic factors, low medical mistrust scores (i.e., more trusting of the system) were associated with refugee (β=−4.27, p<0.01) and family reunion (β=−4.01, p<0.01) migration statuses, being Christian (β=−2.21, p<0.001), and living in rural or village areas prior to migration (β=−2.09, p<0.05). Medical mistrust did not vary by the type of acculturation, but was positively related to perceived personal (β=0.43, p<0.001) and societal (β=0.38, p<0.001) discrimination. In order to reduce inequalities in healthcare access and utilisation and health outcomes, programs to enhance trust in the medical system among African migrants and to address discrimination within the community are needed.

Doctors under the microscope: the birth of medical audit

In 1989 a UK government White Paper introduced medical audit as a comprehensive and statutory system of assessment and improvement in quality of care in hospitals. A considerable body of research has described the evolution of medical audit in terms of a struggle between doctors and National Health Service managers over control of quality assurance. In this paper we examine the emergence of medical audit from 1910 to the early 1950s, with a particular focus on the pioneering work of the American surgeons Codman, MacEachern and Ponton. It is contended that medical professionals initially created medical audit in order to articulate a suitable methodology for assessing individual and organisational performance. Rather than a means of protecting the medical profession from public scrutiny, medical auditing was conceived and operationalised as a managerial tool for fostering the active engagement of senior hospital managers and discharging public accountability. These early debates reveal how accounting was implicated in the development of a system for monitoring and improving the work of medical professionals, advancing the quality of hospital care, and was advocated in ways, which included rather than excluded managers.

A systematic review of how researchers characterize the school environment in determining its effect on student obesity

BACKGROUND: Obesity in early childhood is a robust predictor of obesity later in life. Schools provide unparalleled access to children and have subsequently become major intervention sites. However, empirical evidence supporting the effectiveness of school-based interventions against childhood obesity is of limited scope and unknown quality. The aim of this systematic review is to critically assess how researchers have characterized the school environment in determining its effect on childhood weight status in order to improve the quality and consistency of research in this area. We conducted a narrative review with a systematic search of the literature in line with PRISMA guidelines (2009). Original peer-reviewed research articles in English were searched from Medline, EMBASE, CENTRAL, CINAHL and PsycINFO databases from earliest record to January 2014. We included empirical research that reported at least one measure of the primary/elementary school environment and its relationship with at least one objective adiposity-related variable for students aged 4-12 years. Two authors independently extracted data on study design, school-level factors, student weight status, type of analysis and effect. RESULTS: Five studies met the inclusion criteria. Each study targeted different parts of the school environment and findings across the studies were not comparable. The instruments used to collect school-level data report no validity or reliability testing. CONCLUSIONS: Our review shows that researchers have used instruments of unknown quality to test if the school environment is a determinant of childhood obesity, which raises broader questions about the impact that schools can play in obesity prevention.

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Electronic medical record (EMR) offers promises for novel analytics. However, manual feature engineering from EMR is labor intensive because EMR is complex - it contains temporal, mixed-type and multimodal data packed in irregular episodes. We present a computational framework to harness EMR with minimal human supervision via restricted Boltzmann machine (RBM). The framework derives a new representation of medical objects by embedding them in a low-dimensional vector space. This new representation facilitates algebraic and statistical manipulations such as projection onto 2D plane (thereby offering intuitive visualization), object grouping (hence enabling automated phenotyping), and risk stratification. To enhance model interpretability, we introduced two constraints into model parameters: (a) nonnegative coefficients, and (b) structural smoothness. These result in a novel model called eNRBM (EMR-driven nonnegative RBM). We demonstrate the capability of the eNRBM on a cohort of 7578 mental health patients under suicide risk assessment. The derived representation not only shows clinically meaningful feature grouping but also facilitates short-term risk stratification. The F-scores, 0.21 for moderate-risk and 0.36 for high-risk, are significantly higher than those obtained by clinicians and competitive with the results obtained by support vector machines.

Enhancement of medical named entity recognition using graph-based features

Named Entity Recognition (NER) is a crucial step in text mining. This paper proposes a new graph-based technique for representing unstructured medical text. The new representation is used to extract discriminative features that are able to enhance the NER performance. To evaluate the usefulness of the proposed graph-based technique, the i2b2 medication challenge data set is used. Specifically, the 'treatment' named entities are extracted for evaluation using six different classifiers. The F-measure results of five classifiers are enhanced, with an average improvement of up to 26% in performance.