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Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study

Structural model showing path coefficients (β) and coefficient of determination (R2) (*P Structural model results. a Two tailed. b PE: performance expectancy. c BI: intention to recommend PHR. d P e EE: effort expectancy. f SI: social influence. g FC: facilitating conditions. h ATT: attitude.

Consuela Cheriece Yousef, Teresa M Salgado, Ali Farooq, Keisha Burnett, Laura E McClelland, Laila Carolina Abu Esba, Hani Solaiman Alhamdan, Sahal Khoshhal, Ibrahim Fahad Aldossary, Omar Anwar Alyas, Jonathan P DeShazo

J Med Internet Res 2021;23(10):e31582

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Patient and Clinician Characteristics Associated With Secure Message Content: Retrospective Cohort Study

Figure 1 displays the ORs estimated as statistically significant with a P Odds ratios and 95% CIs of associations between patient demographic characteristics and patient-generated message content. Younger patients had lower odds of sending clinical updates (OR 0.77, 95% CI 0.65-0.91) and prescription refill and renewal requests (OR 0.77, 95% CI 0.65-0.90).

Dawn Heisey-Grove, Cheryl Rathert, Laura E McClelland, Kevin Jackson, Jonathan P DeShazo

J Med Internet Res 2021;23(8):e26650

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Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis

A Kolmogorov–Smirnov test was also used to test for normality with nonstatistical significance (P>.05), indicating that the data were normally distributed. Independence of observations was tested using the Durbin–Watson test, which yielded a coefficient of 1.905. As a rule of thumb, values between 1.5 and 2.5 are considered normal [26]. Linearity was confirmed by the appearance of a linear representation of standardized residuals on a scatterplot.

Consuela Cheriece Yousef, Teresa M Salgado, Ali Farooq, Keisha Burnett, Laura E McClelland, Abin Thomas, Ahmed O Alenazi, Laila Carolina Abu Esba, Aeshah AlAzmi, Abrar Fahad Alhameed, Ahmed Hattan, Sumaya Elgadi, Saleh Almekhloof, Mohammed A AlShammary, Nazzal Abdullah Alanezi, Hani Solaiman Alhamdan, Sahal Khoshhal, Jonathan P DeShazo

JMIR Med Inform 2021;9(8):e30214

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Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study

Comparison of study population’s characteristics by use of secure messaging in 2017.a,b a Percentages represent the proportion of the population with that characteristic. b The P value is the unadjusted estimate of statistical difference between the populations who sent secure messages and those who did not. c N/A: Not applicable.

Dawn M Heisey-Grove, Laura E McClelland, Cheryl Rathert, Alexander Tartaglia, Kevin Jackson, Jonathan P DeShazo

J Med Internet Res 2020;22(10):e19477

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