ABSTRACT
Quality improvement (QI) projects are a mandatory part of postgraduate medical training in the UK and graduating medical students must be competent in QI theory. We evaluated an educational toolkit that links concepts of sustainable healthcare with established quality improvement methodologies (the SusQI approach, available at www.susqi.org). The SusQI approach was implemented across a range of undergraduate and postgraduate nursing and medical education contexts. Educational strategies included guided online learning, live interactive webinars, small group activities and scaffolded project work. The evaluation strategy was informed by theories of academic motivation, educational value within communities of practice and behaviour change. A simultaneous nested design was tested using a mixed methods survey with input from learners and teachers. 177 survey responses were analysed to quantify and compare self-rated impacts of teaching across different audiences. Qualitative data were inductively coded into themes that were categorised according to above theoretical frameworks. Participants felt that this was 'time well spent' and many described transformative impacts that guided their daily professional practice beyond learning about QI. We suggest that meaningful space is found within both undergraduate and postgraduate healthcare curricula for SusQI, as a way of engaging and motivating learners to contribute to the creation of a sustainable healthcare system.
Subject(s)
Education, Distance , Education, Medical , Curriculum , Humans , Learning , Quality ImprovementABSTRACT
OBJECTIVE: To determine the sensitivity and specificity of a Computer Aided Diagnosis (CAD) program for scoring chest x-rays (CXRs) of presumptive tuberculosis (TB) patients compared to Xpert MTB/RIF (Xpert). METHOD: Consecutive presumptive TB patients with a cough of any duration were offered digital CXR, and opt out HIV testing. CXRs were electronically scored as normal (CAD score ≤ 60) or abnormal (CAD score > 60) using a CAD program. All patients regardless of CAD score were requested to submit a spot sputum sample for testing with Xpert and a spot and morning sample for testing with LED Fluorescence Microscopy-(FM). RESULTS: Of 350 patients with evaluable data, 291 (83.1%) had an abnormal CXR score by CAD. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of CXR compared to Xpert were 100% (95%CI 96.2-100), 23.2% (95%CI 18.2-28.9), 33.0% (95%CI 27.6-38.7) and 100% (95% 93.9-100), respectively. The area under the receiver operator curve (AUC) for CAD was 0.71 (95%CI 0.66-0.77). CXR abnormality correlated with smear grade (r = 0.30, p<0.0001) and with Xpert CT(r = 0.37, p<0.0001). CONCLUSIONS: To our knowledge this is the first time that a CAD program for TB has been successfully tested in a real world setting. The study shows that the CAD program had high sensitivity but low specificity and PPV. The use of CAD with digital CXR has the potential to increase the use and availability of chest radiography in screening for TB where trained human resources are scarce.