An acceptance of using the application for managing patient appointments of the medical office, Support Service Department, Royal Thai Armed Forces Headquarters
Abstract:
The objectives of this study are to (a) analyze, design, and develop applications for patient appointment management, (b) trial, follow up, and evaluate the effectiveness of applications, and (c) study the perspectives and acceptance of doctors, nurses, and patients towards application for patient appointment management. This study is quantitative and qualitative research using the innovative acceptance model UTAUT2 as the leading theory in the study of application acceptance. The statistics used to analyze the data include 1) descriptive statistics (frequency distribution, percentage, mean, and standard deviation) and 2) reference statistics (factor analysis and multiple linear regression analysis). The study yielded the application for managing patient appointments of the Medical Office, Support Service Department of the Royal Thai Armed Forces Headquarters. From the implementation of the developed application with a sample group which is staff who performed medical work at the Medical Office, Support Service Department and 380 patients for two months, it found that the patients had Performance Expectancy (PE) and Effort Expectancy (EE) at a high level and also thought that Social Influence (SI) and Facilitating Condition (FC) made them want to use this application. On a large scale, there was also Behavioral Intention (BI) and Behavioral (UB). The hypothesis test results indicated that (a) Performance Expectancy had an influence on Behavioral Intention (BI) size R2 = .553, (b) Effort Expectancy (EE) had an influence on Behavioral Intention (BI) size R2 =.511, (c) Social Influence (SI) had an influence in Behavioral Intention (BI) size R2 =.723, (d) Facilitating Condition (FC) had an influence in Use Behavioral (UB1, UB2) size R2 =.400 and .124 respectively, and (e) Behavioral Intention (BI) had an influence in Use Behavioral (UB1, UB2, UB3) size R2 =.606, .030 and .023 respectively. The study anticipated that the application would be a software that can solve the problem of patients long waiting time when compared with the time patients meet the doctors at the Medical Office, Support Service Department of the Royal Thai Armed Forces Headquarters