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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
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To investigate the first use case, we used a mixed methods design where the experimental intervention was based on an interview study with potential EHR users [31]. The interview study showed that the time course of a disease (chronic vs acute) and disease-related stigma influence people’s decisions to upload a medical report to the EHR. The following experiment showed that respondents were more likely to upload a medical report of a chronic disease to the EHR than to upload a report of an acute condition.
JMIR Hum Factors 2024;11:e52625
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We then validate our model in a survey study using a covariance-based structural equation model (CB-SEM). After discussing the results, we derive theoretical and practical implications and reflect on the limitations of the study. We end our paper with a conclusion concerning our objectives.
To predict and examine the intention to use m Health apps, we adapted a privacy calculus model from the SNS domain [12].
JMIR Hum Factors 2023;10:e45503
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Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study
In the third section, we asked participants how often they use the internet (several times a day, once a day, several times a week, several times a month, or less than once a month) and we assessed their affinity for technology interaction (using the Affinity for Technology Interaction [ATI] scale [46]). We also assessed their health app usage by asking whether they generally use health apps (yes/no).
J Med Internet Res 2023;25:e46231
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Paradigmatic Approach to Support Personalized Counseling With Digital Health (iKNOW)
Therefore, a major challenge for counseling physicians is to translate complicated probabilities for different time periods into easy-to-understand risk formats as a prerequisite for shared decision-making.
A second important ingredient of any counseling session is up-to-date, evidence-based information on screening and preventive measures based on current guidelines. In this context, scientific progress and a rapidly changing evidence base are major challenges.
JMIR Form Res 2023;7:e41179
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The Triage Capability of Laypersons: Retrospective Exploratory Analysis
Which are the most challenging decisions to laypersons, that is, where is advice from a decision support tool most needed?
JMIR Form Res 2022;6(10):e38977
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Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation
As the interpretation of a vignette may change if it does not include a particular piece of information that is requested by a symptom checker (eg, the chief complaint’s duration), we used several measures to augment the case description and, thus, improve the comparability of vignettes across the different symptom checkers.
J Med Internet Res 2022;24(5):e31810
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Determinants of Laypersons’ Trust in Medical Decision Aids: Randomized Controlled Trial
We used a 1-factorial experimental design with factor framing and factor levels of anthropomorphic framing and framing as AI along with a control group (allocation ratio 1:1:1). These were manipulated by integrating a picture of a physician, an iconographic representation of AI similar to that displayed by Symptomate [28], or a mock company logo into the mock symptom checker’s advice screen (Figure 1).
JMIR Hum Factors 2022;9(2):e35219
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Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial
As output, the DSTs provide the probability of a COVID-19 infection rather than a diagnosis.
JMIR Public Health Surveill 2022;8(4):e33733
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For step 5, we chose a single-factor 2-group study design, as described by Gravetter and Forzano [35].
The research approach, beginning with usability testing and identification of major problems in design A, followed by prototyping of design B and its usability testing, concluding with a comparison between design A and design B.
JMIR Hum Factors 2022;9(1):e30655
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In intensive care units (ICUs), monitoring of patients’ physiologic parameters has significantly improved patient safety by alerting ICU staff through a visual or audible alarm [1] when a parameter deviates from the preset range (eg, apnea, sensor detachment). However, as one of the most digitized health care areas with a rising number of novel devices with their own alarms, the sheer number of alarms regularly overwhelms ICU staff.
J Med Internet Res 2021;23(5):e26494
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