The health information management (HIM) field’s contribution to health care delivery is invaluable in a pandemic context where the need for accurate diagnoses will hasten responsive, evidence-based decision-making. The COVID-19 pandemic offers a unique opportunity to transform the practice of HIM and bring more awareness to the role that frontline workers play behind the scenes in safeguarding reliable, comprehensive, accurate, and timely health information. This transformation will support future research, utilization management, public health surveillance, and forecasting and enable key stakeholders to plan and ensure equitable health care resource allocation, especially for the most vulnerable populations. In this paper, we juxtapose critical health literacy, public policy, and HIM perspectives to understand the COVID-19 infodemic and new opportunities for HIM in infodemic management.
BackgroundIn epidemiological studies, pain location is often collected by paper questionnaire using blank body manikins, onto which participants shade the location of their pain(s). However, it is unknown how reliable these will transfer to online questionnaires. The aim of the current study was to determine agreement between online-and paper-based completion of pain manikins. Methods A total of 264 children, aged 15-18 years, completed both an online and a paper questionnaire. Participants were asked to identify the location of their pain by highlighting predefined body areas on a manikin (online) or by shading a blank version of the manikin (paper). The difference in the prevalence of 12 regional/ widespread pain conditions was determined, and agreement between online and paper questionnaires was assessed using prevalence-and bias-adjusted kappa (PABAK). Results For the majority of pain conditions, prevalence was higher when ascertained by paper questionnaire. However, for the most part, the difference in prevalence was modest (range: −1.1 to 5.7%) the exceptions being hip/thigh pain (difference: 10.6%) and upper back pain (difference: 14.8%). For most pain locations, there was good or very good agreement between paper and online manikins (PABAK range: 0.61 to 0.88). However, identification of pain in the hip/thigh and in the upper back had poorer agreement (PABAK: 0.49 and 0.29, respectively). Conclusions This is the first study to examine the reproducibility of body manikins on different media, in a populationbased survey. We have shown that online manikins can be used to capture data on pain location in a manner satisfactorily comparable to paper questionnaires.
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