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dc.contributor.authorJet Alamin, Ahmad-
dc.contributor.authorIssac, Ossama-
dc.contributor.authorTeo, Lina-
dc.contributor.authorAdyas, Atikah-
dc.date.accessioned2024-09-28T03:23:39Z-
dc.date.available2024-09-28T03:23:39Z-
dc.date.issued2022-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/6705-
dc.description.abstractAbstract This study aimed to find an appropriate model of autonomous self-finance management in primary health care (PHC) to enhance workers' satisfaction. This was a cross-sectional study in which data were collected through self-administered questionnaires from 204 workers in ten Regional Public Service Agency for Primary Health Care (RPSAPHC)/Badan Layanan Umum Daerah Pusat Kesehatan Masyarakat (BLUD Puskesmas) in Tangerang District, Banten Province, Indonesia using the partial least squares and structural equation model (PLS-SEM). A total of 73 indicators were used to examine the PHC transformation process to enhance workers' satisfaction. The indicators were grouped into three variables depending on workers' satisfaction: intrinsic, extrinsic, and general satisfaction. In addition, there were five independent variables: financial accountability, generating income, structuring human resources, increasing service quality, and consumer satisfaction. Model autonomy was reflected by all the indicators (cross-loading > 0.70, Cronbach’s alpha > 0.70, average variance ex tracted > 0.5) affecting workers’ satisfaction (path coefficient = 0.196, p-value = 0.002). The management should apply five indicators (financial accountability, increasing income, structuring human resources, improving service quality, and customer satisfaction) affecting workers' satisfaction to transform the PHC. Keywords: BLUD Puskesmas, unified component, workers' satisfactionen_US
dc.subjectBLUD Puskesmasen_US
dc.subjectunified componenten_US
dc.subjectworkers' satisfactionen_US
dc.titleModel Autonomy of Self-Finance Management for Primary Health Care to Enhance Workers’ Satisfactionen_US
dc.typeArticleen_US
Appears in Collections:VOL 17 NO 3 2022

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