TY - JOUR
T1 - Health referral system user acceptance model in Indonesia
AU - Handayani, Putu Wuri
AU - Saladdin, Ibad Rahadian
AU - Pinem, Ave Adriana
AU - Azzahro, Fatimah
AU - Hidayanto, Achmad Nizar
AU - Ayuningtyas, Dumilah
N1 - Funding Information:
This work was supported by the Directorate General of Higher Education for the Program Dasar Penelitian Unggulan Perguruan Tinggi (PDUPT), grant number 286/UN2.R3.1/HKP05.00/2018, as well as by the Directorate of Research and Community Engagement at the University of Indonesia.
Funding Information:
This work was supported by the Directorate General of Higher Education for the Program Dasar Penelitian Unggulan Perguruan Tinggi (PDUPT), grant number 286/UN2.R3.1/HKP05.00/2018 , as well as by the Directorate of Research and Community Engagement at the University of Indonesia .
Publisher Copyright:
© 2018 The Authors
PY - 2018/12
Y1 - 2018/12
N2 - Objectives: This study aims to identify a user acceptance model for the health referral system in Indonesia. The following factors classified into dimensions of organization, technology, process, and individual, were examined: patient centricity, regulation, data security, integration, responsiveness, effectiveness, efficiency, personal beliefs, and social influence. Methods: Quantitative data processing methods were used, including the online distribution of questionnaires to a total of 283 valid respondents who had previously used health referrals. Data processing was performed according to the ordinal logistic regression method using IBM SPSS Statistics 24.0 software. Results: The user acceptance model fit with a significance of 0.084, while only regulation, data security, integration, responsiveness, effectiveness, efficiency, personal beliefs, and social influence significantly influenced the patients’ acceptance of health referrals. Conclusions: This study may build awareness in the community regarding the health referral system along with the ideal factors that encourage patients to utilize health referrals. In addition, the provision of health services by health facilities and regulators may take these factors into account so they may provide fair and equitable services for all the people of Indonesia; for example, providers and regulators can improve the utilization of information technology and guidebooks on the health referral system to facilitate communication and standardization among health facilities.
AB - Objectives: This study aims to identify a user acceptance model for the health referral system in Indonesia. The following factors classified into dimensions of organization, technology, process, and individual, were examined: patient centricity, regulation, data security, integration, responsiveness, effectiveness, efficiency, personal beliefs, and social influence. Methods: Quantitative data processing methods were used, including the online distribution of questionnaires to a total of 283 valid respondents who had previously used health referrals. Data processing was performed according to the ordinal logistic regression method using IBM SPSS Statistics 24.0 software. Results: The user acceptance model fit with a significance of 0.084, while only regulation, data security, integration, responsiveness, effectiveness, efficiency, personal beliefs, and social influence significantly influenced the patients’ acceptance of health referrals. Conclusions: This study may build awareness in the community regarding the health referral system along with the ideal factors that encourage patients to utilize health referrals. In addition, the provision of health services by health facilities and regulators may take these factors into account so they may provide fair and equitable services for all the people of Indonesia; for example, providers and regulators can improve the utilization of information technology and guidebooks on the health referral system to facilitate communication and standardization among health facilities.
KW - Public health
UR - http://www.scopus.com/inward/record.url?scp=85058624857&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2018.e01048
DO - 10.1016/j.heliyon.2018.e01048
M3 - Article
AN - SCOPUS:85058624857
SN - 2405-8440
VL - 4
JO - Heliyon
JF - Heliyon
IS - 12
M1 - e01048
ER -
