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Tuberkulosis merupakan masalah kesebatan masyarakat di Indonesia, karena dapat menyebabkan kematian. Untuk penanggulangan penyakit tuberculosis, pemerintah telah melaksanakan Strategi DOTS (Directly Observed Treatment Shortcourse). Pengobatan yang baik dan teratur dapat menyembubkan penderita TB Paru. Penderita TB Paru dapat mengalami DO (Drop Out), bila pengobatan tidak baik dan tidak teratur. Angka DO di Balai Kesehatan Paru Masyarakat Kota Bandung pada tahun 2005 adalah 11,6 %. Tujuan dari penelitian ini adalah untuk mengetahui faktor faktor yang berhubungan dengan terjadinya DO pada penderita TB Paru di Balai Kesehatan Paru Masyarakat tahun 2007. Penelitian ini menggunakan data primer dengan desain kasus kontrol dan dilakukan pada penderita TB Paru yang berasal dari Kota Bandung dan berobat di Balai Kesehatan Pam Masyarakat dengan jumlah sampel kasus 115 responden dan kontrol sebanyak 115 responden. Kasus adalah penderita TB Paru yang Drop Oul, sedangkan kontrol adalah penderita TB Paru yang tidak Drop Out. Pada penelitian ini variabel yang berhubungan dengan terjadinya Drop Out adalah pengetahuan, biaya dan keberadaan PMO. Pengetahuan mempunyai OR =5,2 dengan 95% C T: 2,79-9,80 berarti bahwa penderita TB Paru dengan pengetahuan yang kurang barisiko 5,2 kali menjadi DO bila dibandingkan dengan pengetahuan yang baik setelah dikontrol variabel biaya dan PMO. Variabel biaya mempunyai OR= 3,4 dengan 95% CI: 1,80-6,23 berarti bahwa penderita dengan presepsi biaya mahal berisiko 3,4 kali bila dibandingkan dengan penderita dengan presepsi biaya murah, setelah dikontrol variabel pengetahuan dan PMO Variabel keberadaan PMO mempunyai OR= 2,2 dengan 95% CI: 1,16-4,05 berarti bahwa penderita yang tidak mempunyai PMO berisiko 2,2 kali bila dibandingkan dengan penderita yang mempunyai PMO setelah dikontrol variabel pengetahuan dan biaya.
Tuberculosis is a public health problem in Indonesia due to the life threatening nature of the disease, To contro) tuberculosis, the government has implemented DOTS (Directly Observed Treatment Short-course) Strategy, Good and regular treatment can cure lung TB patients. Lung TB patients, will be DOs (Drop Outs) when the treatment is not performed well and regularly The DO rate at the Balal Kesehalan Paru Masyarakot (Public Lung Health Center), Bandung City in 2005 was 11,6 %, The aim of this study is to know factors related 10 Lung TB patient drop outs in Ball'; Kesehatan Par" Masyarakat in 2007. The study is conducted using primary data with case control design and was performed to Lung TB patients who came from Bandung City and who were treated at Balai Kesehatan Poru }Jasyarakaf with a sample size of 115 case respondents and 115 control respondents. The case respondents consist of Lung TB patients who drop out while the control respondents consist of Lung TB patients who do not drop out of treatment. The variables relationship with happened of Lung TB patients who drop OUT in this research arc knowledge, cost, and the presence of drug observer. Knowledge has an OR of 5.2 with 95% Cl: 2.80-9,80 meaning that a Lung TB patient whose knowledge is poor has 5.2 times more risk to DO compared to those with good knowledge after the cost and drug observer variab1es are controlled, The cost variable has an OR of 3.4 with 95% Cl: 1.80 -6.23 meaning that patients with a perception of high cost have 3.4 more risk compared to patients with a perception of low cost after the knowledge and drug observer variables are controlled. The presence of drug observer variable has an OR of 2.2 with 95% CI: L160-4.049 meaning that patients who do not have drug observer has 2.2 times more risk compared to patients with drug observer after the knowledge and cost variables are controlled.
Pengobatan yang tidak tuntas menyebabkah penyakit tidak akan sembuh, Masalah putus berohar tubedrulosis adalah suatu yang universal, pengobatan tuberkulosis relatif panjang, jika dibandingkan dengan penyakit infeksi lain. Penderila tubedrulosis bila tidak diobati dengan baik akan menyebabkan terjadinya kekebalan pada kesehatan dan dapat menularkan penyak.it pada orang lain. Desain penelilian: Desain penelitian Kohort Retprospektif. Sampel sebanyak 652 orang pasien tuberkolosis yang Ielah menyelesaikan pengobatan tahun 2005 sd. 2006 di wilayah Suku Dinas Kesebatan Masyarakat Kota Jakarta timur. Sampel yang didapatkan 652 ornng dengan menggunakan random sampling yeng didapat dari kelompek tipe penderita baik penderita hero maupun penderita lama. Hasil dan Diskusi: Ditemukan penderita tuberkulosis yang pernah berobat selama tahun 2005-2006 sebesar 24 orang (3,1!6%). Probabilitas kesehatan berobat pasien tuberkolosis adalah sebesar 99,69"/o (hari ke II), 99,38% {hari ke 60), 97,01 {hari ke 90), 96,19% {hari ke 190) dan 96,19% (hari ke 249). Pada analisis Cox regression PMO dan Yankes metupalam varibel indepent pada penderita tuberlrulosis yang PMO bemsal dari non keluarga memiliki resiko pntus berobat 11,75 kali lebih besar dibandingken pasien tubekolosis yang PMOnya hemsa1 dari keluarga (HR :ll,754 95% CI:3,'177-34,737). Demikian juga pasien tuberkulosis pada Runtah Sakit memHiki resiko putus herobat 2,4 kali lebih tinggi dihandingkan pasien tuberkolosis yang di Puskesmas (2,369 95% Cl : 1,011-5,547). Kesimpulan dan saran: Faktor-fuktor yang berpengaruh terhadap survival kelanjutan berobat penderita tuberkulosis adalah Pengawas Minum Obat (PMO) dan Yankes dengan keseluruhan probabilitas survival kelanjutan berobat penderita tuberkulusis adalah 99,38% {hari ke 60 bari}, 97,01% (bari ke 90) dangan median probabilltas kesintasan oads hari ke 191· hari.
Treatment for T8 patients who are not complete will affect the disease will not recover.TB treatment not come to compliance is a universal and this condition base on TB drugs intake is needed few months (6 - 9 months), when to be comprised by other infectious diseases. The happening of impenetrability at germ (germ resistance) and can be contagious of disease at others, and it was affected by TB patients were not received a good case management including drugs management. Research Design: Designing of research was Retrospective cohort Sampling was amounting 652 TB patients who have been done on treatment compliance by the year 2005 10 2006 at East Jakarta Health Region of Health Community of Sub Services. Number of sampling 652 people by using sampling random that getting from new case detection (new TB patients), and also old case detection (old TB patients). Result and Discussion: Found by patient of tuberculosis broken medicines during year 2005-2006 equal to 24 people (3,86%). Probability survival of continuation medicines patient of tuberculosis is equal10 99,69% (day to 11), 97,38% (day10 60), 97,01(day 10 90),96,19% ( day10 190) and 96,19% (day 10 249). At analysis of Cox PMO regression and of health services represent indepent variable at patient of tuberculosis which is PMO come from non family have broken risk medicines 11,75 bigger limes compared 10 patient of tuberculosis which its this come from family (HR:11,754 95% Cl: 3,977-34,737). And so do 10 patient of tuberculosis at Hospital have broken risk medicines 2,4 higher times compared to patient of tuberculosis which in Health Center (2,369 95% Cl: 1,011-5,547). Conclusion and Suggestions: Factors having an effect on to survival of continuation treatment of tuberculosis patients was supervisor of drugs intake (PMO) and Health Services with overall of probability survival of continuation treatment of tuberculosis patients was 99,38% (day to 60 day), 97,01% (day to 90) with probability median survival on 191 days after drugs intake. It will be suggersted that should be taken step for increasing quality of Health Services in strategy of DOTS which are: diagnoses, counceling (health education) to the TB patients and Supervisor of Drugs Intake (PMO).
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
