Ditemukan 63 dokumen yang sesuai dengan query :: Simpan CSV
Ketersediaan bahan pengujian yang tepat waktu menjadi salah satu faktor penentu
dalam kelancaran proses pengujian di laboratorium, terutama dalam mendukung
fungsi karantina dan perlindungan kesehatan masyarakat melalui keamanan
pangan. Penelitian ini bertujuan untuk mengetahui gambaran pelaksanaan sistem
manajemen logistik bahan pengujian di Laboratorium Mikrobiologi Balai Besar Uji
Standar Karantina Hewan, Ikan, dan Tumbuhan, dengan meninjau aspek input,
proses, output, dan dampak logistik. Penelitian ini menggunakan pendekatan
deskriptif kualitatif. Hasil penelitian menunjukkan bahwa masih terdapat beberapa
kendala, seperti belum optimalnya ketersediaan bahan pengujian dari aspek waktu.
Masalah tersebut berdampak pada terjadinya kekosongan stok bahan pengujian
(stockout) dan keterlambatan pengujian. Kondisi ini berpotensi menghambat proses
tindakan karantina, menunda pengambilan keputusan tindakan, serta berisiko
menganggu keamanan pangan sebagai perlindungan kesehatan masyarakat
The Public-Private Partnership (PPP) scheme is an innovative strategy for hospital infrastructure provision in Indonesia aimed at addressing the limitations of government budgets, accelerating development, and improving efficiency and quality of healthcare services. However, the implementation of the PPP scheme in the hospital sector still faces various challenges, such as limited institutional capacity, risk sharing, and private sector investment interest. This study aims to analyze the process of calculating patient visit projections carried out by PT. XYZ, which facilitates the preparation of feasibility studies through the Project Development Facility (PDF). The research was conducted using a qualitative study to understand how the patient visit projection calculation process is performed in the PPP project for the development of RSUD I.A. Moeis, to ensure the feasibility of the preliminary study in achieving the success of the PPP implementation in the healthcare sector. The results of this study provide an overview of the patient visit projection calculation process in the RSUD I.A. Moeis PPP project. In terms of methodology, innovations were made that resulted in more solid and structured projection data. However, in terms of human resources, several shortcomings were identified, particularly regarding coordination and communication among the team. In terms of data availability, the current condition is deemed sufficient to support the analysis. Meanwhile, in terms of time, there was a delay in the project timeline by up to 14 months, caused by various factors, including changes in the projection methodology approach, the team’s unfamiliarity with the new method, and weak inter-agency coordination. These findings emphasize that the accuracy of the patient visit projection calculation is a crucial factor in determining the attractiveness and feasibility of the hospital PPP project. This study provides a significant contribution to the development of healthcare service capacity planning methods and serves as a reference for similar PPP projects in the future.
Hypertension is one of the leading causes of death in Indonesia and contributes significantly to the burden of non-communicable diseases. This study aims to analyze the risk factors associated with hypertension among individuals aged ≥18 years in Indonesia using a probabilistic approach through Bayesian Network modeling. This research is a quantitative study utilizing secondary data from the fifth wave of the Indonesia Family Life Survey (IFLS-5). The sample consisted of 34,271 individuals who met the inclusion criteria after data cleaning and variable classification. The Bayesian Network structure was constructed manually based on bivariate analysis and theoretical references, then visualized using R (bnlearn) and Python (CausalNex). Conditional Probability Tables (CPTs) were generated to identify both direct and indirect risk pathways. The results indicate that smoking and abnormal BMI (imt_kat) are two primary risk factors that directly increase the probability of hypertension. The highest probability of hypertension (25.87%) was found among individuals who both smoke and have an abnormal BMI. Additionally, indirect pathways were also identified, such as income → education → stress → smoking → hypertension, as well as age, physical activity, and dietary patterns → BMI → hypertension. Behavioral and socioeconomic variables were shown to be interconnected in influencing hypertension risk cumulatively. In conclusion, this study demonstrates that the Bayesian Network approach is effective in revealing the probabilistic relationships among various risk factors. These findings highlight the importance of holistic public health interventions that consider social, behavioral, and physiological determinants as an integrated risk system.
Mental health is one of the major public health issues in Indonesia, facing significant challenges such as a shortage of professionals, insufficient funding, and a high treatment gap. In implementing mental health programs, Puskesmas utilize the Mental Health Information System (SIMKESWA) for data recording and reporting. However, SIMKESWA only covers data input specific to mental health programs and operates separately from the Puskesmas Management Information System (SIMPUS), which is used for overall healthcare service management. This study aims to identify the gaps between SIMKESWA and the SATUSEHAT interoperability standards developed by the Ministry of Health. A qualitative descriptive method was used through document analysis and in-depth interviews with relevant informants. The findings reveal data duplication between SIMKESWA and SIMPUS, which requires healthcare workers to perform double data entry, increasing their workload. Additionally, the current state of mental health data recording is not yet fully aligned with the data standards and interoperability structures outlined by SATUSEHAT. Based on these findings, the study produces an initial draft of an interoperability playbook for the mental health program, including a mapping of key data elements, relevant FHIR resource structures, and system integration recommendations. This playbook draft is expected to serve as a preliminary step toward a more integrated and efficient mental health information system.
Non-communicable diseases (NCDs) contribute to more than 87.14% of total deaths in Indonesia. One of the non-communicable diseases that has gained attention is diabetes. Its high prevalence and its role as a primary factor for the development of other diseases as comorbidities make DM a chronic disease with widespread impacts. The low utilization of primary healthcare services for diabetes mellitus patients, such as Primary Healthcare (RJTP), is considered to contribute to the high referral rates to advanced healthcare facilities, resulting in higher healthcare costs. This study analyzes the utilization of Primary Healthcare (RJTP) services among JKN participants with diabetes mellitus in 2023 based on BPJS sample data from 2024. This research is non-experimental with a cross-sectional approach. The results show that the majority of JKN participants with diabetes mellitus use RJTP services irregularly, at 88.4%, while only 11.6% of participants, or 75,165 individuals, made regular visits (≥12 times per year), with 2,402 participants with type 1 diabetes and 72,763 participants with type 2 diabetes. Factors significantly related to service utilization include age, gender, care class, membership segmentation, family relationship, type of FKTP, FKTP regional area, and place of residence. Meanwhile, marital status showed no significant relationship (p-value >0.05). The conclusion of this study is that innovative approaches are needed to target communities with high disparities who have low utilization of RJTP healthcare services.
The Mobile JKN application was launched to enhance accessibility to information and membership services related to the Program Jaminan Kesehatan Nasional (JKN) for BPJS Kesehatan participants. However, the utilization rate of this application remains relatively low, resulting in many BPJS Kesehatan participants not yet experiencing its benefits. At the Poliklinik Denma Mabesad in Central Jakarta, only approximately 1.46% of the total registered participants are recorded as users of the Mobile JKN application. This study aims to explore the implementation of the Mobile JKN application at Poliklinik Denma Mabesad using the Technology Acceptance Model (TAM) approach. This research was conducted using a qualitative approach with in-depth interviews and observation. The result is reveal that both users and healthcare staff at the polyclinic consider the Mobile JKN application to be beneficial and convenient in accessing information and membership services. However, several obstacles hinder optimal utilization, including limited participant knowledge, insufficient phone credit and storage space, as well as participants’ unfamiliarity with using the Mobile JKN application.
Data of good quality on Minimum Service Standard of Maternal and Child Health (MSS MCH) is required to be utilized as a basis for planning. One of the data assessment models that has been developed is the Routine Data Quality Assessment (RDQA) model, which is an adaptation of the WHO model adopted by Pusdatin. No research has been conducted in Depok City until recently. Therefore, this study aimed to assess SPM data on maternal health, specifically indicators such as the K4 and Linakes, in Depok City. The assessment was conducted by considering the indicators of completeness, timeliness, internal consistency, external consistency, and accuracy as well as the organizational factors that influence them. The results showed that data completeness in Depok City was good, timeliness could not be optimally analyzed, internal consistency was relatively good although there was some inconsistent data in some puskesmas, external consistency was good, and lastly, inaccuracy was found in one of the health centers in Depok City.. In addition, this study also found organizational issues surrounding data collection that could potentially affect data quality.
This study analyzes the utilization of mental health services for depression at healthcare facilities among JKN participants in 2023. The research design is non-experimental with a cross-sectional approach. The results show that the majority of participants utilized mental health services for depression with a low frequency of visits, ranging from 1 to 3 visits per year, totaling 70,351 (88.3%) participants. Factors that showed significant associations include age, gender, marital status, participant segmentation, type of healthcare facility, ownership of healthcare facility, and facility location. The main determinant is age, with participants aged 45-54 having the highest likelihood of being in the high-frequency visit category (OR: 2.583; 95% CI: 2.042-3.268). These findings indicate the need for education, interventions, improvement in service quality and healthcare providers, as well as the equitable distribution of healthcare facilities and workforce.
Posyandu, a community-based health initiative, plays a vital role in improving maternal and child health. Using the Primary Care Integration (ILP) approach, the Life Cycle Posyandu strengthens promotive and preventive health services across life stages. This study in Puskesmas Ciganjur, South Jakarta, employs a sequential explanatory mixed methods design. Key findings highlight the importance of kader availability, though challenges remain in task distribution, competency, and infrastructure limitations. While health education and promotion are active, barriers like limited media and low awareness persist. Service coverage reached 100% monthly, with stable early detection at 89%, but follow-up coverage fluctuated. Strengthening kader capacity, infrastructure, and cross-sector collaboration is crucial for sustainable primary care integration.
Telemedicine offers a promising solution to improve healthcare access, particularly in remote areas, yet its adoption in Indonesia’s Primary Healthcare Facilities (FKTP) remains suboptimal. This study aims to describe the readiness of FKTP in providing telemedicine services through a literature review of scientific articles published between 2020 and 2025, sourced from SCOPUS, PubMed, and Google Scholar. Of the articles found, six met the inclusion criteria and were analyzed further. The synthesis revealed that FKTP readiness ranged from “moderate” to “ready,” depending on the assessed aspects such as technological infrastructure, human resource capacity, managerial support, and the presence of supportive policies and regulations. The main challenges include limited internet connectivity, insufficient training for healthcare workers, and organizational cultures that are not yet fully supportive of digital transformation. Strengthening these factors is essential to ensure that telemedicine implementation in FKTP can be optimized and sustained.
