Dataset Information

Health referral system user acceptance model in Indonesia.

ABSTRACT:

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.

SUBMITTER: Handayani PW

PROVIDER: S-EPMC6304450 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Publications

Health referral system user acceptance model in Indonesia.

Handayani Putu Wuri PW Saladdin Ibad Rahadian IR Pinem Ave Adriana AA Azzahro Fatimah F Hidayanto Achmad Nizar AN Ayuningtyas Dumilah D

Heliyon 20181219 12

<h4>Objectives</h4>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.<h4>Methods</h4>Quantitative data processing methods were used, including the online distribution of questionnaires to a tot ...[more]

PMID: 30603690

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Project description:PurposeWhether the provision of online health care referral systems by the Indonesia National Health Insurance Agency has ensured healthcare referral compliance raises much concern due to the continuing deficit. This study examines the pattern of healthcare referral process, regional and referral compliance from 2015 to 2016. To provide comprehensive analysis on how people seek treatment, this study also aims to understand health-seeking behavior in Indonesia, the utilization of alternative treatment, and health information-seeking behavior on social media.MethodThe data come from three data files, namely the National Health Insurance membership master data, the First Level Health Facilities transaction data and the Advanced Referral Health Facilities transaction data of 1,697,452 individuals. The regional compliance applies a logit regression model, while referral compliance applies descriptive statistics of the referral pathway. This study also follows a quantitative approach using an online questionnaire, with 463 respondents who have National Health Insurance which applies an ordered logit model.ResultWe found that several demographic variables and regional health facility availability affect regional compliance. Moreover, we found 19.3% of the transactions did not comply with the prescribed referral sequence. The prescribed referral sequence was mostly followed for patients with malignant diseases. We also found men who perceive that their health condition is healthy will less likely seek health services compared to women. Further, the tendency of alternative treatment increases health-seeking behavior, and the tendency of seeking health information on social media increases the frequency seeking health services.ConclusionWe recommend the prescribed referral sequence to be re-evaluated especially for patients with malignant disease; the referral process should not be based on hospital classes but on the competency of the healthcare facility which may indirectly address the deficit issue. It is imperative that the government evaluate health promotion approaches to men and women, both direct and indirect through their significant others.

Dataset Information

Health referral system user acceptance model in Indonesia.

Objectives

Methods

Results

Conclusions

Publications

Health referral system user acceptance model in Indonesia.

Similar Datasets

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