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Prevalensi hipertensi di Indonesia masih tinggi, sementara proporsi pasien dengan tekanan darah terkendali tetap rendah. Rencana Strategis Kementerian Kesehatan 2022–2024 menetapkan target 90% pasien hipertensi terkendali di puskesmas, namun Jakarta Pusat pada tahun 2024 hanya mencapai 16,74%. Penelitian ini dilakukan di dua puskesmas dengan capaian berbeda: Puskesmas X (46,12%) dan Puskesmas Y (2,34%). Penelitian ini bertujuan menganalisis mutu program pengendalian hipertensi berdasarkan komponen input, proses, dan output dengan menggunakan pendekatan sistem terbuka.
Penelitian menggunakan desain kualitatif studi kasus. Data dikumpulkan melalui wawancara mendalam, diskusi kelompok terfokus, observasi, dan telaah dokumen pada Maret–Mei 2025, melibatkan 30 informan yang terdiri atas petugas puskesmas, dinas kesehatan, suku dinas kesehatan, kader, dan pasien. Analisis dilakukan secara tematik.
Hasil menunjukkan mutu program di Puskesmas X relatif lebih baik. Puskesmas X menerapkan perencanaan proaktif, penyediaan obat yang lebih cepat, inovasi edukasi berkala, monitoring bersama jejaring, dan pelatihan rutin. Puskesmas Y melaksanakan perencanaan reguler, pengadaan obat mengikuti siklus tahunan, pemanfaatan dashboard hipertensi berjalan meskipun belum optimal, serta koordinasi internal rutin. Meskipun jumlah SDM sesuai standar, keterlibatan fungsional belum merata di kedua puskesmas. Penelitian ini menunjukkan bahwa keberhasilan pelaksanaan program hipertensi tidak hanya ditentukan oleh kelengkapan sumber daya, tetapi juga bergantung pada kualitas proses, termasuk perencanaan yang responsif, pengorganisasian terstruktur, pelaksanaan inovatif, dan monitoring berbasis data.
Penelitian merekomendasikan penguatan kapasitas tenaga kesehatan, penyelarasan definisi indikator antarinstansi, optimalisasi media edukasi digital dan sistem informasi terpadu, serta penetapan petugas administrasi dan teknologi informasi dalam struktur tim program untuk mendukung mutu layanan hipertensi.
Organizations that produce a product such as services, requires anevaluation of a self-assessment to improve service quality continuously to obtaina high quality of service and in accordance with the demands of the times. One ofthe assessment of an organization's success is the result of optimal performanceas measured by the target-the specified target organization itself. Researchers areusing seven (7) criteria contained in the Malcolm Baldrige Health Care Criteriafor Performance Excelence to determine the quality of the organization of theRefferal Health Directorate Building Effort, 2014. Research method is thesequential explanatory mixed method design. The results of the bivariate analysisshowed a strong association between positive and patterned organizationalperformance results with the six criteria of the Malcolm Baldrige. While theresults of the multivariate analysis showed four positive criteria and negativecriteria that one can explain the results of the organization's performance by65.7%, while the criteria are not included in the modeling. The results of theperformance of the Refferal Health Directorate Building Effort referencesincluded in the very low range. 3 problems that still stand out among otherorganizations have not set goals, objectives and performance measures (keyperfomance indicators) in the planning of the organization; has not set a vision,mission and values of organization and planning has not been prepared based ona period of long-term and short-term. These problems can be solved if the directorand the head of the organization immediately set the vision, mission and values ofthe organization, strategic planning in accordance with the duties and functionsof the organization as well as by long-term period and the short-term.
COVID-19 infections among healthcare workers at Puskesmas in Bekasi Regency are increasing. This COVID-19 infection in healthcare workers is an HAIs. HAIs can be prevented by implementing optimal IPCs. Various factors affect the adoption of COVID19 IPCs. This study aims to obtain an overview and determinants related to compliance with the prevention and control of infection (IPC) COVID-19 among health workers at the Bekasi District Health Center in 2020. This study used a cross-sectional study design with a self-reported method by filling out a questionnaire via googleform. The population is healthcare workers in all Puskesmas in Bekasi District. A sample of 190 people was calculated by means of a two-proportion difference test formula with the Quota sampling technique. Based on univariate analysis, it was obtained that the average COVID-19 IPC compliance value for healthcare workers was 93.17 from 100 scales, with the highest compliance indicator being hand washing compliance 93.4 and the lowest compliance being disinfection compliance 86. The results of multiple logistic regression tests showed that the variable risk perception and availability of facilities has a significant relationship with COVID-19 IPC compliance. The risk perception variable is the dominant variable associated with PPI COVID-19 compliance The intervention that needs to be done to improve compliance the implementation of COVID-19 IPC is to increase the risk perception of health workers through risk communication
Quantitative research with a cross-sectional design (Cross Sectional) will examine the achievements of health service programs for people at risk of getting HIV using the Malcolm Baldrige approach at the Depok City Health Center. The purpose of this study was to determine the performance of the health service program for people at risk of getting HIV using the Malcolm Baldrige approach. The population of this study were all Community Health Centers in Depok City, totaling 38 Health Centers. The research instrument used questionnaires and interviews which were made based on standard references from Malcolm Baldrige's criteria which had been translated into Indonesian by previous researchers and adapted to the research objectives. There are 6 independent variables, namely leadership, strategic planning, focus on customers, measurement analysis and knowledge management, focus on workforce and process management, while the dependent variable is achievement of minimum service standards in health services for people at risk of getting HIV. Data analysis used univariate data analysis to look at the frequency distribution of performance results, bivariate data analysis looked at the relationship between 6 (six) Malcolm Baldrige criteria and the achievement results of the minimum service standard for the Health Service Program for people at risk of getting HIV at the Depok City Health Center and multivariate analysis to find the most common factor Dominantly affect the achievement of minimum HIV service standards. The majority of Univariate research results fall into the category of lacking leadership (53.07%), strategic planning (46.21%) focus on customers (43.84%), measurement, analysis and knowledge management (44.21%), workforce (47.85%) and process management (47.49%) while the results of the minimum service standards for people at risk of getting HIV (69.86%) are in the sufficient category. In the bivariate analysis all independent variables have a strong and positive relationship to the dependent variable. In the multivariate analysis there is a strong correlation between HIV MSS achievement and leadership and customer focus variables (R=0,749) and R square =0,561 where the most dominant variable is Customer Focus (48.5%).
