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Frequency analyses of positive and negative feedback given by the refugees from (A) Ukraine and (B) other countries of origin participating in the qualitative study in Germany. The numbers of positive and negative feedback are illustrated separately for the adapted version and the nonadapted version of the digital intervention Sleep-e tested in the study. oth: other countries of origin; ukr: Ukraine.
You can take a lot from it also. And you can learn easily also.
To have the training..., it’s much easier.
JMIR Form Res 2025;9:e65412
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Analytical validation reference table showing the schematic and equationsa,b,c,d,e used to report snore detection performance of the Sleep Watch app in this study.
a Accuracy = (true positive + true negative)/(true positive + true negative + false positive + false negative).
b Sensitivity = true positive/(true positive + false negative).
c Specificity = true negative/(false positive + true negative).
d Positive predictive value = true positive/(true positive + false positive).
e Negative predictive value = true negative
JMIR Form Res 2025;9:e67861
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Predicted probabilities of telemedicine visits with 95% CIs for interactions between health system and (A) age, (B) race and ethnicity, and (C) language preference.
Given the significant interactions by health system, we analyzed each system independently.
J Med Internet Res 2025;27:e64635
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Screenshots from the Health Mpowerment app—(A) enhanced version of the Health Mpowerment app for the intervention condition and (B) limited version of the Health Mpowerment app for the control condition. PEP: postexposure prophylaxis; Pr EP: pre-exposure prophylaxis.
Pr EP navigators will connect with participants immediately following app onboarding.
JMIR Res Protoc 2025;14:e68085
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