Journal of evaluation in clinical practice
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Time is an important element in medical data. Physicians record and store information about patients' disease progress and treatment response in electronic medical records (EMRs). Because EMRs use timestamps, physicians can identify patterns over time regarding a patient's disease and treatment (eg, laboratory values and medications). However, analyses of physicians' use and satisfaction with EMRs have focused on functionality, storage, and system operation rather than the use of time-oriented information. This study aimed to understand physicians' needs regarding time-oriented patient information in EMRs in clinical practice. ⋯ Our study suggests that 4 specific time-oriented patient information factors in EMRs are needed by physicians. Exploring physicians' needs regarding patient-specific time-oriented information may provide a better understanding of the barriers facing the adoption and use of EMRs (eg, decision-making and practice safety concerns) and lead to better acceptance of EMRs in physicians' clinical practices.
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Time to the occurrence of an event is often studied in health research. Survival analysis differs from other designs in that follow-up times for individuals who do not experience the event by the end of the study (called censored) are accounted for in the analysis. Cox regression is the standard method for analysing censored data, but the assumptions required of these models are easily violated. In this paper, we introduce classification tree analysis (CTA) as a flexible alternative for modelling censored data. Classification tree analysis is a "decision-tree"-like classification model that provides parsimonious, transparent (ie, easy to visually display and interpret) decision rules that maximize predictive accuracy, derives exact P values via permutation tests, and evaluates model cross-generalizability. ⋯ Classification tree analysis survival models offer many advantages over Cox regression, such as explicit maximization of predictive accuracy, parsimony, statistical robustness, and transparency. Therefore, researchers interested in accurate prognoses and clear decision rules should consider developing models using the CTA-survival framework.
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The complexity of an electronic medication administration record (eMAR) has been underestimated by most designers in the past. Usability issues, such as poorly designed user application flow in eMAR, are therefore of vital importance, since they can have a negative impact on nursing activities and result in poor outcomes. The purpose of this study was to evaluate the usability of an eMAR application during its development. ⋯ A thorough heuristic evaluation is a good method for obtaining a usable eMAR application. This evaluation points key areas for improvement and decreases usability problems and their severity.
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Movement, a core aspect of physiotherapy practice, and integral to the clinical reasoning process has undergone limited theoretical development. Instead, research has focused on intervention effectiveness embedded within the positivist paradigm. The purpose of this study was to explore how expert neurorehabilitation therapists conceptualize movement as part of their clinical reasoning. ⋯ The IBITA instructors conceptualize movement from a person-centred perspective. The integration of postural control and selective movement, with alignment and variability as key components, forms the foundation of their understanding of movement. Further investigation into the role of postural control in movement recovery post central nervous system lesion is required. Likewise, the dimensions of movement critical to the conceptualization of movement are not well understood from the perspective of the physiotherapist or persons with neurological impairments.
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This study examines the degree to which a "Hawthorne effect" alters outpatient-visit content. ⋯ In a study that was designed to minimize the Hawthorne effect, the presence of an observer had little effect on most patient-physician visits but appeared to at least slightly effect a subgroup of vulnerable patients.