Physicians found an interactive tool displaying structured evidence summaries for multiple comparisons understandable and useful: a qualitative user testing study.

OBJECTIVES: To evaluate and improve "Making Alternative Treatment Choices Intuitive and Trustworthy" (MATCH-IT)-a digital, interactive decision support tool displaying structured evidence summaries for multiple comparisons-to help physicians interpret and apply evidence from network meta-analysis (NMA) for their clinical decision-making. STUDY DESIGN AND SETTING: We conducted a qualitative user testing study, applying principles from user-centered design in an iterative development process. We recruited a convenience sample of practicing physicians in Norway, Belgium, and Canada, and asked them to interpret structured evidence summaries for multiple comparisons-linked to clinical guideline recommendations-displayed in MATCH-IT. User testing included (a) introduction of a clinical scenario, (b) a think-aloud session with participant-tool interaction, and (c) a semistructured interview. We video recorded, transcribed, and analyzed user tests using directed content analysis. The results informed new updates in MATCH-IT. RESULTS: Distributed across 5 development cycles we tested MATCH-IT with 26 physicians. Of these, 24 (94%) reported either no or sparse prior experience with interpretation of NMA. Physicians perceived MATCH-IT as easy to interpret and navigate, and appreciated its ability to provide an overview of the evidence. Visualization of effects in pictograms and inclusion of information on burden of treatment ("practical issues") were highlighted as potentially useful features in interacting with patients. We also identified problems, including undiscovered functionalities (drag and drop), suboptimal tutorial, and cumbersome navigation of the tool. In addition, physicians wanted definition/explanation of key terms (eg, outcomes and "certainty"), and there were concerns that overwhelming evidence from a large NMA would complicate applicability to clinical practice. This led to several updates with development of a new start page, tutorial, updated user interface for more efficient maneuvering, solutions to display definition of key terms and a "frequently asked questions" section. To facilitate interpretation of large networks, we improved categorization of results using color coding and added filtering functionality. These modifications allowed physicians to focus on interventions of interest and reduce information overload. CONCLUSION: This study provides proof of concept that physicians can use MATCH-IT to understand NMA evidence. Key features of MATCH-IT in a clinical context include providing an overview of the evidence, visualization of effects, and the display of information on burden of treatments. However, unfamiliarity with the Grading of Recommendations Assessment, Development and Evaluation concepts, time constraints, and accessibility at the point of care may be challenges for use. To what extent our results are transferable to real-world clinical contexts remains to be explored.

The impact of COVID-19 on the well-being, education and clinical practice of general practice trainees and trainers: a national cross-sectional study.

BACKGROUND: COVID-19 has changed General Practice (GP) education as well as GP clinical activities. These changes have had an impact on the well-being of medical trainees and the role of GP plays in the society. We have therefore aimed to investigate the impact that COVID-19 has had on GP trainees and trainers in four domains: education, workload, practice organization and the role of GP in society. DESIGN: a cross-sectional study design was used. METHODS: The Interuniversity Centre for the Education of General Practitioners sent an online survey with close-ended and open-ended questions to all GP trainees and trainers in Flanders, active in the period March - September 2020. Descriptive statistics were performed to analyze the quantitative data and thematic analysis for the qualitative data. RESULTS: 216 (response 25%) GP trainees and 311 (response 26%) trainers participated. GP trainees (63%, N = 136) and trainers (76%, N = 236) reported new learning opportunities since the COVID-19 pandemic. The introduction of telehealth consulting and changing guidelines required new communication and organizational skills. Most of the GP trainees (75%, n = 162) and trainers (71%, n = 221) experienced more stress at work and an overload of administrative work. The unfamiliarity with a new infectious disease and the fact that COVID-19 care compromised general GP clinical activities, created insecurity among GP trainers and trainees. Moreover, GP trainees felt that general GP activities were insufficiently covered during the COVID-19 pandemic for their training in GP. GP trainers and trainees experienced mutual support, and secondary support came from other direct colleagues. Measures such as reducing the writing of medical certificates and financial support for administrative and (para) medical support can help to reprioritize the core of GP care. COVID-19 has enhanced the use of digital learning over peer-to-peer learning and lectures. However, GP trainees and trainers preferred blended learning educational activities. CONCLUSIONS: COVID-19 has created learning opportunities such as telehealth consulting and a flexible organization structure. To ensure quality GP education during the pandemic and beyond, regular GP care should remain the core activity of GP trainees and trainers and a balance between all different learning methods should be found.

Pre-sleep arousal can be associated with efficient processing of sleep-related information.

BACKGROUND AND OBJECTIVES: Cognitive bias to sleep-related information is thought to be a core feature of sleep disturbances. The bias may enhance pre-sleep arousal, such as excessive worry about sleeplessness, which prevents people from initiating normal sleep onset. The present study focused on (a) attention bias toward sleep-related stimuli and (b) difficulty in updating working memory for sleep-related stimuli as two possible mechanisms underlying pre-sleep cognitive arousal. METHOD: Participants (n = 61, a community sample) completed a dot-probe task (with sleep-related and matched control word stimuli) and a 1-back and 2-back task (with sleep-related and non-sleep-related pictorial stimuli). RESULTS: For the dot-probe task, the results showed no significant association between pre-sleep cognitive arousal and sleep-related attention bias. However, the results of the 2-back task suggest that pre-sleep arousal is associated with decreased interference by sleep-related stimuli in maintaining non-sleep-related information. That is, individuals with higher levels of pre-sleep arousal are more efficient at processing sleep-related materials. LIMITATIONS: The non-clinical nature of the sample may limit the clinical implications of the findings. CONCLUSIONS: Although the current results cannot be explained by the extant cognitive theories of insomnia, we offer an alternative explanation based on the idea of worry as mental habit: mental processes that occur frequently (e.g., repetitive thoughts about sleep) require less cognitive resource. Therefore, sleep-related information may be processed easily without consuming much cognitive effort.