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Data and information have an important role in the decision-making process. In the health sector, data utilization is used to estimate the burden of a disease including its determinants. Tuberculosis (TB) remains a global health problem that infects 10.6 million people worldwide in 2021, where Indonesia is the second highest contributor to caseload after India. The province with the highest number of TB case findings in Indonesia in the last 5 years is West Java Province. To find out the spatial model of risk factors that have an effect on each district/city, an analysis was carried out using a spatial approach using secondary data. The results of this study indicate that there is a positive spatial autocorrelation that has a significant effect on the number of TB cases in West Java Province, which means that the distribution of cases forms a clustered pattern and adjacent areas tend to affect the surrounding area. The districts/cities that have become hotspot areas and are priority areas for intervention in handling TB cases in West Java Province are Bekasi Regency, Bogor Regency, Karawang Regency, Purwakarta Regency, Sukabumi Regency, Bekasi City, Bogor City and Depok City. Spatial analysis found risk factors that had different effects in each district/city area, namely the poor population, temperature and altitude, so that the forms of health interventions carried out were also different. Utilization of data with this spatial approach is expected to be able to support decision-making support related to health intervention programs and policies that are specific to the area so that they are right on target and able to reduce the number of TB cases in West Java Province.
Puskesmas sebagai fasilitas pelayanan kesehatan tingkat pertama memiliki peran penting dalam mendukung program kesehatan masyarakat. Pemenuhan sumber daya manusia kesehatan (SDMK) yang mencakup jenis dan jumlah tenaga kesehatan sesuai standar menjadi syarat utama untuk menjamin pelayanan yang berkualitas. Penelitian ini bertujuan untuk menganalisis kecukupan jenis dan jumlah SDMK pada Puskesmas BLUD di Kota Depok tahun 2024 serta faktor-faktor yang memengaruhinya. Penelitian menggunakan pendekatan kualitatif dengan metode studi kasus melalui wawancara mendalam dan telaah dokumen pada enam Puskesmas terpilih serta instansi terkait di Kota Depok. Hasil menunjukkan bahwa masih terdapat kesenjangan antara jumlah SDMK eksisting dengan kebutuhan berdasarkan analisis jabatan dan beban kerja yang tertuang dalam dokumen perencanaan dan kebutuhan SDMK Kota Depok. Kesenjangan ini menyebabkan multitasking dan task shifting, yang berdampak pada beban kerja dan mutu layanan. Faktor yang memengaruhi pemenuhan SDMK meliputi sistem manajemen kepegawaian, kepemimpinan, kemitraan/jejaring, ketersediaan anggaran, pendidikan/pelatihan, serta kebijakan yang berlaku. Temuan juga menunjukkan bahwa fleksibilitas pengelolaan keuangan melalui BLUD belum dimanfaatkan secara optimal untuk mendukung pemenuhan SDMK. Diperlukan komitmen pemerintah daerah dalam perencanaan dan pengadaan SDMK secara strategis berbasis data dan analisis beban kerja untuk memastikan tersedianya tenaga kesehatan yang sesuai baik secara jumlah maupun jenis.
Community health centers (Puskesmas) as primary health care facilities play an important role in supporting public health programs. The fulfillment of health human resources (SDMK), which includes the type and number of health workers in accordance with standards, is a key requirement for ensuring quality services. This study aims to analyze the adequacy of the type and number of SDMK at BLUD Puskesmas in Depok City in 2024 and the factors that influence it. The study employs a qualitative approach using a case study method through in-depth interviews and document reviews at six selected Puskesmas and related institutions in Depok City. The results indicate that there is still a gap between the existing number of HHR and the needs based on job analysis and workload as outlined in Depok City's planning documents and HHR requirements. This gap leads to multitasking and task shifting, which impacts workload and service quality. Factors influencing the fulfillment of SDMK include human resource management systems, leadership, partnerships/networks, budget availability, education/training, and applicable policies. The findings also indicate that the flexibility of financial management through BLUD has not been optimally utilized to support the fulfillment of SDMK. A commitment from the local government is needed in strategic planning and procurement of SDMK based on data and workload analysis to ensure the availability of healthcare personnel that are appropriate in both quantity and type.
