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Perkembangan laboratorium di Indonesia saat ini sangat pesat yang diiringi dengan perkembangan alat dan teknologi yang canggih. Pelayanan laboratorium dalam upaya untuk membantu diagnosa tidak hanya dilakukan di Rumah Sakit pemerintah tetapi pelayanan laboratorium ini dilakukan oleh swasta dan perorangan.Sebagai kebijakan pemerintah dalam upaya untuk meningkatkan pelayanan kesehatan kepada masyarakat, pelayanan laboratorium dimasukkan dalam program kerja puskesmas, akan tetapi pemanfaatan pelayanan laboratorium di puskesmas ini masih belum maksimal jika dibandingkan dengan pelayanan laboratorium yang lainnya sehingga perlu dilakukan penelitian tentang faktor-faktor yang berhubungan dengan Pemanfaatan laboratorium Puskesmas di wilayah kabupaten Bandung.Dari faktor-faktor yang diteliti antara lain faktor Kemampuan pemeriksaan, SDM laboratorium, sikap dokter dan penghasilan pasien. Setelah dilakukan uji statistik dua faktor yang berhubungan yaitu kemampuan pemeriksaan (p=0,003) dan SDM laboratorium (p=0,042). Dengan diketahuinya hubungan antara kemampuan pemeriksaan dan SDM laboratorium dengan pemanfaatan laboratorium maka untuk lebih mengefektifkan serta meningkatkan pelayanan kesehatan khususnya pelayanan laboratorium dalam membantu diagnosa maka laboratorium di puskesmas harus lebih memperhatikan kelengkapan sarana laboratorium serta tenaga pelaksanannya, sehingga pemeriksaan dapat dilakukan.Daftar Bacaan : 35 (1977-2002)
Clinical laboratory development increase quickly in Indonesia to gather with the depelovement of the technology in laboratory. The health laboratory service is not only in the government hospitals, also private hospitals and personals.As the government policy, to increase the public health service, clinical laboratory service is placed as one of public health centre work programes. But the utility of the clinical health laboratory in public health centre is not maximal yet compared with the others health laboratory service, so that need to investigate study about "The Factors Correlated With Clinical Laboratory Utility In Public Health Centre In Bandung County.The factors have been investigated such as : the ability of laboratory examination, laboratory of the human resource, the doctors attitude to the laboratory and the patient's income. After investigating the factors to the laboratory utility, statistically two factors that have correlation to the health laboratory utility these are the ability of the laboratory examination (p=0,003) and the laboratory of the human resource (0,042).By knowing the correlation among the ability of the laboratory examination and the laboratory of the human resource to the health laboratory utility so that to increase the effectiveness and to increase health service in public health centre, especially in health diagnostic laboratory service the facilities such as reagents, and the equipments needed in the laboratory must be completed and the qualification of the laboratory of the human resources must be increased and more profesional.Read lists : 36 (1972-2002)
Background: Hypertension is the leading cause of premature death worldwide and is a major risk factor for cardiovascular diseases, including in Indonesia. West Java is the province with the highest prevalence of hypertension in Indonesia, with a rate of 34.4% based on blood pressure measurements and 10.7% based on doctor diagnoses. This makes West Java the third largest province in terms of hypertension prevalence among individuals aged ≥ 18 years. In managing hypertension, indicators related to hypertension therapy or medication are crucial factors that need attention. Recent data from the Indonesia Health Survey (SKI) shows that non-adherence to antihypertensive medication in West Java reaches 53.8%, with 35.5% of patients taking medication irregularly and 18.3% not taking medication at all. The low level of adherence among hypertensive patients to taking antihypertensive medication remains a significant issue in hypertension management in Indonesia, particularly in West Java. Objective: This study aims to identify the factors associated with non-adherence to antihypertensive medication among hypertensive patients aged ≥ 18 years in West Java. Methods: This research used a cross-sectional study design with univariate and bivariate analyses. Results: The prevalence of non-adherence to antihypertensive medication among hypertensive patients aged ≥ 18 years in West Java is 53.1%, with “feeling healthy” being the most common reason for non-adherence. Significant factors associated with non-adherence to antihypertensive medication include: being aged 18–59 years (PR = 1.23; 95% CI = 1.06–1.47), having a low education level (PR = 1.17; 95% CI = 1.09–1.27), lacking health insurance (PR = 1.26; 95% CI = 1.18–1.36), smoking (PR = 1.12; 95% CI = 1.04–1.21), and lacking knowledge related to antihypertensive medication (PR = 1.88; 95% CI = 1.72–1.97). Conclusion: The government needs to enhance health education and emphasize the importance of regularly taking antihypertensive medication, even when no symptoms are present. Additionally, cross-sector collaboration is necessary to support the prevention of non-adherence to antihypertensive medication.
The World Health Organization (WHO) predicts an increase in the number of people with diabetes mellitus (DM) is one of the global health threats. The predicted increase in the number of people with diabetes in Indonesia from 8.4 million in 2000 to around 21.3 million in 2030.Diabetics and its complications bring huge economic losses to diabetics and their families, the national health system and economy through direct medical costs, lost work and income. Low adherence to medication can result in an increased risk of treatment costs, an increased risk of complications and the risk of hospitalization. Identification of the factors associated with low patient compliance with DM treatment is the aim of this study so that this study is expected to provide solutions and strategies to improve treatment adherence. This study was an observational analytic study with a cross sectional design. The data used in this study are secondary data from Riskesdas 2018 throughout Bali Province with logistic regression analysis and the size of the relationship is expressed in the prevalence odds ratio (POR) with α = 0.05. In the multivariate analysis, the final model that relates to adherence to DM treatment in Bali in 2018 is statistically namely work (POR 1.164 95% CI 1.019-1.329 p-value 0.002), residence (POR 0.864 95% CI 0.764-0.978 p-value 0.021 ), gender (POR 0.816 95% CI 0.717-0.929 p-value 0.002), and age (POR 0.779 95% CI 0.665-0.912 p-value 0.002) while the level of education was not statistically significant
