Search Articles

View query in Help articles search

Search Results (1 to 3 of 3 Results)

Download search results: CSV END BibTex RIS


Antibiotic Prescribing Behavior of Physicians in Outpatient Departments in Hospitals in Northwest Ethiopia: Structural Equation Modeling Approach

Antibiotic Prescribing Behavior of Physicians in Outpatient Departments in Hospitals in Northwest Ethiopia: Structural Equation Modeling Approach

Finally, the data were compiled, and the behavioral constructs were linked with the percentages of physicians’ perceived antibiotic prescribing behaviors and practices using SEM based on modified TPB (MTPB). Attitude, SN, and PBC were shown to be related to appropriate sets of salient behavioral, normative, and control beliefs about a behavior. PBC, together with behavioral intention, can be used directly to predict behavioral achievement.

Asrat Agalu Abejew, Gizachew Yismaw Wubetu, Teferi Gedif Fenta

Interact J Med Res 2024;13:e57285

Health Care Trainees’ and Professionals’ Perceptions of ChatGPT in Improving Medical Knowledge Training: Rapid Survey Study

Health Care Trainees’ and Professionals’ Perceptions of ChatGPT in Improving Medical Knowledge Training: Rapid Survey Study

The Kirkpatrick model was analyzed with structural equation modeling (SEM) using R Studio (February 3, 2022, build, version 4.2.0; R Core Team) with the package lavaan. The goodness-of-fit indices for the hypothetical model were evaluated as follows: chi-squared test, P>.05; relative chi-squared (χ2/df) 0.90 [18]. SEM is a multivariate statistical analysis technique used to analyze structural relationships. SEM is a method that combines factor analysis and multiple regression analysis.

Je-Ming Hu, Feng-Cheng Liu, Chi-Ming Chu, Yu-Tien Chang

J Med Internet Res 2023;25:e49385

Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

Using structural equation modeling (SEM), a mediation analysis was carried out to investigate the underlying mechanism between cyberchondria and fear of COVID-19, COVID-19 anxiety, intolerance of uncertainty, and anxiety sensitivity. In addition, an evaluation of the reverse mediation model of the association between the study variables was also carried out. The study may potentially contribute to a better understanding of the pandemic in relation to cyberchondria.

Xue Wu, Nabi Nazari, Mark D Griffiths

J Med Internet Res 2021;23(6):e26285