The relationship between poor EHR training and subsequent poor usability is increasingly being recognized. We utilized objective EHR audit log data to personalize EHR training with the goal of improving EHR usability and to identify changes in physician perceptions pre- and post-intervention. We found that time in the system and Pajama time decreased post-coaching intervention. Different physician perceptions were reported pre- and post-coaching. Overall, personalized EHR coaching improved the usability and perceptions of physicians.
There is limited knowledge on whether increased telehealth usage may enhance health access to communities during natural disasters, particularly for emergency medical services. This study aimed to elucidate telehealth usage during three hurricanes in NC between 2018 and 2020 and assessed demographics of users including gender and age, insurance status, and daily rate of visits in relation to respective hurricanes. From 10,056 telehealth visits, we found that age and insurance coverage were significantly different between crisis and non-crisis times. Patients found comparative satisfaction during both times. This study suggests the use of phone and video visits to enable better access to parents with children under the age of 18 years and uninsured patients.
256 Background: Numerous studies have demonstrated that physician perceptions of patient priorities and patients’ stated preferences differ substantially. Use of preference clarification using discrete choice experiments (DCEs) has been shown to improve preference-concordance for patients with solid tumors. Previously, we developed a DCE to describe preferences of survivors of acute myeloid leukemia (AML). We sought to evaluate this DCE among newly diagnosed patients with AML to inform shared decision-making. Methods: We used a sequential explanatory (quantitative to qualitative) mixed methods design to assess acceptability, feasibility, and content validity of the DCE to elicit individual preferences. Newly diagnosed older (≥ 60 years) adults with AML completed the DCE at the time of treatment decision. Patients and caregivers then completed semi-structured interviews to expand on quantitative findings. Based on initial results, healthy volunteers completed think-aloud sessions while completing the DCE and semi-structured interviews to further evaluate comprehensibility. Results: 47 participants were enrolled (18 patients [8 female, 10 male; aged 60-87], 16 caregivers, 15 healthy volunteers). Patients received best supportive care (n = 1), hypomethylating agents (n = 9), and high-intensity chemotherapy (n = 8). Feasibility/Acceptability: All patients completed the DCE (100% feasibility), and all reported that they answered according to their preferences (100% acceptability). Content Validity: 1) Relevance: 17/18 (94%) felt the DCE was relevant. 2) Comprehensiveness: In addition to the attributes in the DCE, provider recommendations and family considerations were noted to be critical in treatment decision-making. 3) Comprehensibility: Only 13/18 (72%) felt the DCE was easy to understand, and 14/18 (78%) felt it was easy to answer. Explanatory Interviews: Patients reported being in “shock,” “devastated” from receiving the diagnosis, feeling overwhelmed (“I was floored”) and not being able to reliably concentrate on the DCE due to these factors. Caregivers corroborated patients’ reports. Healthy volunteers also reported “information overload” and that the DCE was “technical” and the included outcome levels were “confusing.”. Conclusions: This DCE designed for older adults with AML was relevant, feasible, and acceptable. However, nearly 30% of patients reported difficulty understanding the DCE. Some reported not being able to attend to the complex tasks in the DCE, thereby compromising content validity of the measure. We suspect this was due to the distress caused by the diagnosis. This study demonstrates the challenge of developing valid preference elicitation instruments for newly diagnosed patients and highlights the need for extensive evaluation prior to clinical implementation.
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