TY - JOUR
T1 - Socio-Economic Factors Affecting Member’s Satisfaction towards National Health Insurance
T2 - An Evidence from the Philippines
AU - Ong, Ardvin Kester S.
AU - Prasetyo, Yogi Tri
AU - Tayao, Kate Nicole M.
AU - Mariñas, Klint Allen
AU - Ayuwati, Irene Dyah
AU - Nadlifatin, Reny
AU - Persada, Satria Fadil
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/11
Y1 - 2022/11
N2 - The National Health Insurance, “PhilHealth”, is the healthcare provider for Filipino citizens in the Philippines. The study focused on determining the effects of members’ satisfaction with PhilHealth among Filipino members. The study utilized 10 latent variables from the integrated Service Quality (SERVQUAL) and Expectation-Confirmation Theory (ECT). There are 500 respondents that are used and analyzed through Structural Equation Modeling (SEM) and a Deep Learning Neural Network (DLNN). Utilizing SEM, it was revealed that Reliability, Responsiveness, Socio-Economic Factors, Expectation, Perceived Performance, Confirmation of Beliefs, and Members’ Satisfaction are significant factors in the satisfaction of PhilHealth members. Utilizing DLNN, it was found that Expectation (EX) is the most significant factor, and it is consistent with the results of the SEM. The government can use the findings of this study for the improvement of PhilHealth. The framework that is used for the analysis can be extended and can apply to future research with regard to its provided services. The overall results, framework, and concept utilized may be applied by other service industries worldwide.
AB - The National Health Insurance, “PhilHealth”, is the healthcare provider for Filipino citizens in the Philippines. The study focused on determining the effects of members’ satisfaction with PhilHealth among Filipino members. The study utilized 10 latent variables from the integrated Service Quality (SERVQUAL) and Expectation-Confirmation Theory (ECT). There are 500 respondents that are used and analyzed through Structural Equation Modeling (SEM) and a Deep Learning Neural Network (DLNN). Utilizing SEM, it was revealed that Reliability, Responsiveness, Socio-Economic Factors, Expectation, Perceived Performance, Confirmation of Beliefs, and Members’ Satisfaction are significant factors in the satisfaction of PhilHealth members. Utilizing DLNN, it was found that Expectation (EX) is the most significant factor, and it is consistent with the results of the SEM. The government can use the findings of this study for the improvement of PhilHealth. The framework that is used for the analysis can be extended and can apply to future research with regard to its provided services. The overall results, framework, and concept utilized may be applied by other service industries worldwide.
KW - ECT
KW - PhilHealth
KW - SERVQUAL
KW - deep learning neural network
KW - structural equation modeling
UR - http://www.scopus.com/inward/record.url?scp=85142456990&partnerID=8YFLogxK
U2 - 10.3390/ijerph192215395
DO - 10.3390/ijerph192215395
M3 - Article
AN - SCOPUS:85142456990
SN - 1661-7827
VL - 19
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 22
M1 - 15395
ER -