Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers

Introduction: The government targets a significant reduction in antibiotic resistance by 2030 through wise antibiotic management, including implementing the Clinical Decision Support System (CDSS) for Health Providers in Non-Pneumonia acute respiratory infections (ISPA) and Non-specific Diarrhea in...

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Main Authors: Rokayah Rokayah, Riza Alfian, Yunita Nita, Hanni Prihhastuti Puspitasari
Format: Article
Language:English
Published: Pusat Pengembangan Teknologi Informasi Dan Jurnal Universitas Muhammadiyah Palu 2025-07-01
Series:Journal of Public Health and Pharmacy
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Online Access:https://jurnal.unismuhpalu.ac.id/index.php/jphp/article/view/6709
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author Rokayah Rokayah
Riza Alfian
Yunita Nita
Hanni Prihhastuti Puspitasari
author_facet Rokayah Rokayah
Riza Alfian
Yunita Nita
Hanni Prihhastuti Puspitasari
author_sort Rokayah Rokayah
collection DOAJ
description Introduction: The government targets a significant reduction in antibiotic resistance by 2030 through wise antibiotic management, including implementing the Clinical Decision Support System (CDSS) for Health Providers in Non-Pneumonia acute respiratory infections (ISPA) and Non-specific Diarrhea in Primary Healthcare Centre (Puskesmas). However, the readiness and acceptance of Health Providers to CDSS need to be evaluated. This study evaluates the readiness and acceptance of doctors, nurses, midwives, pharmacists, and pharmacists' assistants in Puskesmas using CDSS. Methods: The method used was a cross-sectional quantitative survey with snowball sampling of 185 respondents at the Probolinggo Puskesmas in July-August 2024. The questionnaire was developed based on a combination of the Technology Readiness Index and the Technology Acceptance Model (TRAM), and the data was analyzed using SEM-PLS (Structural Equation Modeling-Partial Least Squares). Result: This study revealed that optimism contributed positively to the perception of ease of use (PEOU) and perception of benefits (PU) of CDSS. Innovation also contributed positively to PEOU, but not significantly to PU. Optimism increases PEOU and PU, while innovation only increases PEOU. Although innovation is insignificant to PU, it has a more significant impact on PEOU than optimism. Conclusion: These findings also show that PU affects the attitude of Health Providers to use CDSS (? = 0.286, p < 0.001) but does not directly affect behavioral intentions (? = 0.081, p = 0.250). PEOU significantly affected PU (? = 0.617, p < 0.001) and attitude (? = 0.661, p < 0.001). Attitudes towards CDSS greatly influenced the behavioral intentions of healthcare providers to use it (? = 0.851, p < 0.001), making it a strong predictor of CDSS adoption. The integration of TRI and TAM in predicting the readiness of Health Providers has proven helpful in understanding the factors of CDSS adoption in Puskesmas. These findings highlight the importance of training for health providers to improve CDSS readiness and acceptance. In addition, the results of this study can be the basis for policy development in implementing CDSS Primary Healthcare Centers to support a more rational use of antibiotics.
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publisher Pusat Pengembangan Teknologi Informasi Dan Jurnal Universitas Muhammadiyah Palu
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spelling doaj-art-393a2c19aabe47f082f192c7f3add8582025-08-20T02:42:45ZengPusat Pengembangan Teknologi Informasi Dan Jurnal Universitas Muhammadiyah PaluJournal of Public Health and Pharmacy2775-49522025-07-015221122410.56338/jphp.v5i2.67096709Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare CentersRokayah Rokayah0Riza Alfian1Yunita Nita2Hanni Prihhastuti Puspitasari3Doctor of Pharmaceutical Science Programme, Faculty of Pharmacy, Airlangga University, Surabaya, Indonesia. Clinical and Community Pharmacy Study Program, Hafshawaty Zainul Hasan University, Probolinggo, Indonesia. District Level Health Office, District of Probolinggo, East Java, Java, Indonesia Department of Pharmacy, Sekolah Tinggi Ilmu Kesehatan ISFI Banjarmasin, Banjarmasin, IndonesiaDepartment of Pharmacy Practice, Faculty of Pharmacy, Airlangga University, Surabaya, IndonesiaDepartment of Pharmacy Practice, Faculty of Pharmacy, Airlangga University, Surabaya, IndonesiaIntroduction: The government targets a significant reduction in antibiotic resistance by 2030 through wise antibiotic management, including implementing the Clinical Decision Support System (CDSS) for Health Providers in Non-Pneumonia acute respiratory infections (ISPA) and Non-specific Diarrhea in Primary Healthcare Centre (Puskesmas). However, the readiness and acceptance of Health Providers to CDSS need to be evaluated. This study evaluates the readiness and acceptance of doctors, nurses, midwives, pharmacists, and pharmacists' assistants in Puskesmas using CDSS. Methods: The method used was a cross-sectional quantitative survey with snowball sampling of 185 respondents at the Probolinggo Puskesmas in July-August 2024. The questionnaire was developed based on a combination of the Technology Readiness Index and the Technology Acceptance Model (TRAM), and the data was analyzed using SEM-PLS (Structural Equation Modeling-Partial Least Squares). Result: This study revealed that optimism contributed positively to the perception of ease of use (PEOU) and perception of benefits (PU) of CDSS. Innovation also contributed positively to PEOU, but not significantly to PU. Optimism increases PEOU and PU, while innovation only increases PEOU. Although innovation is insignificant to PU, it has a more significant impact on PEOU than optimism. Conclusion: These findings also show that PU affects the attitude of Health Providers to use CDSS (? = 0.286, p < 0.001) but does not directly affect behavioral intentions (? = 0.081, p = 0.250). PEOU significantly affected PU (? = 0.617, p < 0.001) and attitude (? = 0.661, p < 0.001). Attitudes towards CDSS greatly influenced the behavioral intentions of healthcare providers to use it (? = 0.851, p < 0.001), making it a strong predictor of CDSS adoption. The integration of TRI and TAM in predicting the readiness of Health Providers has proven helpful in understanding the factors of CDSS adoption in Puskesmas. These findings highlight the importance of training for health providers to improve CDSS readiness and acceptance. In addition, the results of this study can be the basis for policy development in implementing CDSS Primary Healthcare Centers to support a more rational use of antibiotics.https://jurnal.unismuhpalu.ac.id/index.php/jphp/article/view/6709clinical decision support system (cdss)technology readiness (tri)technology acceptance model (tam)technology readiness and acceptance model (tram)primary healthcare centrestructural equation modeling-partial least squares (sem-pls)
spellingShingle Rokayah Rokayah
Riza Alfian
Yunita Nita
Hanni Prihhastuti Puspitasari
Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers
Journal of Public Health and Pharmacy
clinical decision support system (cdss)
technology readiness (tri)
technology acceptance model (tam)
technology readiness and acceptance model (tram)
primary healthcare centre
structural equation modeling-partial least squares (sem-pls)
title Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers
title_full Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers
title_fullStr Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers
title_full_unstemmed Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers
title_short Readiness and Acceptance of Health Providers using Clinical Decision Support System at Probolinggo Primary Healthcare Centers
title_sort readiness and acceptance of health providers using clinical decision support system at probolinggo primary healthcare centers
topic clinical decision support system (cdss)
technology readiness (tri)
technology acceptance model (tam)
technology readiness and acceptance model (tram)
primary healthcare centre
structural equation modeling-partial least squares (sem-pls)
url https://jurnal.unismuhpalu.ac.id/index.php/jphp/article/view/6709
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