Ditemukan 32556 dokumen yang sesuai dengan query :: Simpan CSV
Fajar Awalia Yuliant; Pembimbing: Tri Yunis Miko Wahyono; Penguji: Renti Mahkota, Asri C. Adisasmita, Titik Respati
T-4162
Depok : FKM-UI, 2014
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Anggun Purnama Dewi; Pembimbing: Yovsyah; Penguji: Mahkota, Renti ; Mutaqin, Asep Adam
S-8985
Depok : FKM UI, 2016
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Intan Juliana Omposunggu; Pembimbing: Bambang Sutrisna; Penguji: Ratu Ayu Dewi Sartika, Yovsyah, Trihono, Toni Wandra
T-3254
Depok : FKM UI, 2010
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Laurentius Aswin Pramono; Pembimbng: Bambang Sutrisna; Penguji: Siti Setiati, Imam Subekti, Nasrin Kodim, Asri C. Adisasmita
T-3140
Depok : FKM-UI, 2010
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Oka Septriani; Pembimbing: Modastri Korib Sudaryo; Penguji: Syahrizal Syarif, Renti Mahkota, Citra, Agus Salim
Abstrak:
Latar Belakang. Tingginya prevalensi diabetes di populasi menyebabkan diabetes menjadi salah satu penyakit penyerta yang banyak diderita oleh pasien COVID-19. Orang dengan diabetes menghadapi kemungkinan lebih tinggi untuk mengalami komplikasi serius dari COVID-19 hingga kematian. Penelitian ini bertujuan untuk mengetahui perbedaan probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 dan mengetahui hubungan diabetes melitus tipe 2 dengan kematian COVID-19 di RSUD Al Ihsan Provinsi Jawa Barat.
Metode. Penelitian ini menggunakan desain kohort retrospektif. Populasi dalam penelitian ini yaitu pasien COVID-19 yang dirawat di RSUD Al Ihsan pada periode Maret 2020 sampai dengan 31 Desember 2021 dengan kriteria inklusi merupakan pasien konfirmasi COVID-19 melalui pemeriksaan Polymerase Chain Reaction (PCR) berusia lebih dari sama dengan 18 tahun. Perbedaan probabilitas kesintasan didapatkan dari analisis kesintasan dengan kaplan meier. Analisis Cox Proporsional Hazard digunakan untuk mengetahui hubungan diabetes melitus tipe 2 dengan kematian COVID-19.
Hasil. Sebanyak 308 pasien konfirmasi COVID-19 terlibat dalam penelitian ini. Selama 21 hari pengamatan, probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 lebih rendah dibandingkan dengan tanpa diabetes melitus tipe 2 (71,24% vs 84,13%). Sampai akhir pengamatan selama 49 hari, probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 menurun dan berbeda dengan pasien COVID-19 tanpa diabetes melitus tipe 2 yang mana probabilitas kesintasannya 48,98% vs 84,13% dengan nilai p 0,0056. Terdapat hubungan yang signifikan secara statistik antara diabetes melitus tipe 2 dengan kematian COVID-19 setelah dikontrol dengan variabel confounder yaitu umur, gejala batuk, ARDS, vaksinasi, gagal ginjal kronis, penggunaan ventilator, terapi antivirus dan persentase BOR Isolasi COVID-19 saat admisi. Hazard ratio adjusted hubungan diabetes melitus tipe 2 dengan kematian COVID-19 pada model akhir analisis multivariat sebesar 2,676 (95% IK 1,24-5,73).
Kesimpulan. Probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 lebih rendah dibandingkan dengan pasien COVID-19 tanpa diabetes melitus tipe 2.
Diabetes melitus tipe 2 meningkatkan resiko kematian pada pasien COVID-19.
Introduction. The high prevalence of diabetes in the population causes diabetes to become one of the comorbidities that many COVID-19 patients suffer from. Patients with diabetes have a higher risk of experiencing serious complications from COVID-19 and even death. This study aims to determine the difference in survival probability of COVID-19 patients with type 2 diabetes mellitus and to determine the relationship between type 2 diabetes mellitus and COVID-19 mortality at Al Ihsan Hospital, West Java Province.
Methods. This study used a retrospective cohort study design. The population of study were COVID-19 patients who were treated at Al Ihsan Hospital in the period March 2020 to December 31, 2021 with inclusion criteria being confirmed as COVID-19 patients through Polymerase Chain Reaction (PCR) examination and aged ≥ 18 years. Differences in survival probability were obtained from survival analysis with Kaplan-Meier. Cox Proportional Hazard analysis was used to determine the relationship between type 2 diabetes mellitus and COVID-19 mortality.
Results. Results indicated that a total of 308 confirmed positive COVID-19 patients were involved in this study. During the 21 days of observation, survival probability of COVID-19 patients with type 2 diabetes mellitus was lower than those without type 2 diabetes mellitus (71.24% vs. 84.13%). Until the end of the 49-day observation, survival probability of COVID-19 patients with type 2 diabetes mellitus decreased and differed from that of COVID-19 patients without type 2 diabetes mellitus which the survival probability was 48.98% vs. 84.13% (p = 0.0056). There was a statistically significant relationship between type 2 diabetes mellitus and COVID-19 mortality after controlling for confounder variables, age, cough symptoms, ARDS, vaccination, chronic kidney disease, ventilator use, antiviral therapy and the percentage of Bed Occupation Rate COVID-19 isolation at admission. The hazard ratio adjusted relationship between type 2 diabetes mellitus and COVID-19 mortality in the final model of multivariate analysis was 2,676 (95% CI 1,24-5,73).
Conclusion. It appears that survival probability of COVID-19 patients with type 2 diabetes mellitus is lower than those without type 2 diabetes mellitus. Type 2 diabetes mellitus increases the risk of death in COVID-19 patients.
Read More
Metode. Penelitian ini menggunakan desain kohort retrospektif. Populasi dalam penelitian ini yaitu pasien COVID-19 yang dirawat di RSUD Al Ihsan pada periode Maret 2020 sampai dengan 31 Desember 2021 dengan kriteria inklusi merupakan pasien konfirmasi COVID-19 melalui pemeriksaan Polymerase Chain Reaction (PCR) berusia lebih dari sama dengan 18 tahun. Perbedaan probabilitas kesintasan didapatkan dari analisis kesintasan dengan kaplan meier. Analisis Cox Proporsional Hazard digunakan untuk mengetahui hubungan diabetes melitus tipe 2 dengan kematian COVID-19.
Hasil. Sebanyak 308 pasien konfirmasi COVID-19 terlibat dalam penelitian ini. Selama 21 hari pengamatan, probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 lebih rendah dibandingkan dengan tanpa diabetes melitus tipe 2 (71,24% vs 84,13%). Sampai akhir pengamatan selama 49 hari, probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 menurun dan berbeda dengan pasien COVID-19 tanpa diabetes melitus tipe 2 yang mana probabilitas kesintasannya 48,98% vs 84,13% dengan nilai p 0,0056. Terdapat hubungan yang signifikan secara statistik antara diabetes melitus tipe 2 dengan kematian COVID-19 setelah dikontrol dengan variabel confounder yaitu umur, gejala batuk, ARDS, vaksinasi, gagal ginjal kronis, penggunaan ventilator, terapi antivirus dan persentase BOR Isolasi COVID-19 saat admisi. Hazard ratio adjusted hubungan diabetes melitus tipe 2 dengan kematian COVID-19 pada model akhir analisis multivariat sebesar 2,676 (95% IK 1,24-5,73).
Kesimpulan. Probabilitas kesintasan pasien COVID-19 dengan diabetes melitus tipe 2 lebih rendah dibandingkan dengan pasien COVID-19 tanpa diabetes melitus tipe 2.
Diabetes melitus tipe 2 meningkatkan resiko kematian pada pasien COVID-19.
Introduction. The high prevalence of diabetes in the population causes diabetes to become one of the comorbidities that many COVID-19 patients suffer from. Patients with diabetes have a higher risk of experiencing serious complications from COVID-19 and even death. This study aims to determine the difference in survival probability of COVID-19 patients with type 2 diabetes mellitus and to determine the relationship between type 2 diabetes mellitus and COVID-19 mortality at Al Ihsan Hospital, West Java Province.
Methods. This study used a retrospective cohort study design. The population of study were COVID-19 patients who were treated at Al Ihsan Hospital in the period March 2020 to December 31, 2021 with inclusion criteria being confirmed as COVID-19 patients through Polymerase Chain Reaction (PCR) examination and aged ≥ 18 years. Differences in survival probability were obtained from survival analysis with Kaplan-Meier. Cox Proportional Hazard analysis was used to determine the relationship between type 2 diabetes mellitus and COVID-19 mortality.
Results. Results indicated that a total of 308 confirmed positive COVID-19 patients were involved in this study. During the 21 days of observation, survival probability of COVID-19 patients with type 2 diabetes mellitus was lower than those without type 2 diabetes mellitus (71.24% vs. 84.13%). Until the end of the 49-day observation, survival probability of COVID-19 patients with type 2 diabetes mellitus decreased and differed from that of COVID-19 patients without type 2 diabetes mellitus which the survival probability was 48.98% vs. 84.13% (p = 0.0056). There was a statistically significant relationship between type 2 diabetes mellitus and COVID-19 mortality after controlling for confounder variables, age, cough symptoms, ARDS, vaccination, chronic kidney disease, ventilator use, antiviral therapy and the percentage of Bed Occupation Rate COVID-19 isolation at admission. The hazard ratio adjusted relationship between type 2 diabetes mellitus and COVID-19 mortality in the final model of multivariate analysis was 2,676 (95% CI 1,24-5,73).
Conclusion. It appears that survival probability of COVID-19 patients with type 2 diabetes mellitus is lower than those without type 2 diabetes mellitus. Type 2 diabetes mellitus increases the risk of death in COVID-19 patients.
T-6461
Depok : FKM-UI, 2022
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Eva Yulianti; Pembimbing: Nurhayati Adnan; Penguji: Helda, Dina Garniasih, Fajar Subroto
Abstrak:
Leukemia limfoblastik akut (LLA) adalah jenis kanker yang disebabkan oleh akumulasi limfoblas di sumsum tulang yang mempengaruhi banyak anak. Keberhasilan pengobatan pada pasien leukemia dapat dinilai berdasarkan tingkat kelangsungan hidup pasien LLA. Tujuan dari penelitian ini adalah untuk mengidentifikasi kelangsungan hidup 5 tahun, faktor-faktor yang mempengaruhinya, dan nilai skor prediktor kelangsungan hidup pada anak usia 1-18 tahun yang didiagnosis dengan leukemia limfoblastik akut (LLA) di RSAB Harapan Kita. Penelitian ini adalah penelitian observasional analitik yang menggunakan desain penelitian kohort retrospektif. Sampel adalah 130 pasien LLA yang didiagnosis pada tahun 2013-2014 yang diperoleh dari teknik pengambilan sampel non-probabilitas jenis consecutive sampling. Data dikumpulkan dengan melacak rekam medis pasien. Data dianalisis menggunakan analisis Kaplan-Meier dan Regresi Cox. Hasil penelitian menunjukkan bahwa probabilitas tingkat kelangsungan hidup pasien LLA tahun 2013-2014 adalah 92,25% dengan tingkat kelangsungan hidup rata-rata 60 bulan. Berdasarkan analisis multivariat menggunakan model interaksi regresi Cox, faktor yang paling berpengaruh pada tingkat kelangsungan hidup pasien LLA adalah komorbiditas (p = 0,002; HR = 10,76 CI; 2,38-48,55), remisi (p = 0,001; HR = 13,28 CI2,98- 59,73) dan kambuh (p = 0,014; HR = 7,92 CI; 1,53-41,12).
Acute lymphoblastic leukemia (LLA) is a type of cancer caused by the accumulation of lymphoblasts in the bone marrow that affects many children. The success of treatment in leukemia patients can be assessed based on the survival rate of LLA patients. The aims of this study were to identify 5-year survival, the factors that influence it, and the scoring value of predictors of survival in children aged 1-18 years diagnosed with acute lymphoblastic leukemia (LLA) in RSAB Harapan Kita. This study is an analytic observational study that used retrospective cohort study design. The sample was 130 LLA patients diagnosed in 2013-2014 who were obtained from a non-probability sampling technique consecutive sampling. Data were collected by tracking the patient's medical records. Data were analyzed using KaplanMeier analysis and Cox Regression. The results show that the LLA patient's survival rate probability from 2013-2014 was 92.25% with a median survival rate of 60 months. Based on multivariate analysis using Cox regression interaction models, the most influential factors on survival rate of LLA patients were comorbidity (p = 0.002; HR = 10.76 CI; 2.38-48.55), remission (p = 0.001; HR = 13.28 CI2.98-59.73) and relapse (p = 0.014; HR = 7.92 CI; 1.5341.12)
Read More
Acute lymphoblastic leukemia (LLA) is a type of cancer caused by the accumulation of lymphoblasts in the bone marrow that affects many children. The success of treatment in leukemia patients can be assessed based on the survival rate of LLA patients. The aims of this study were to identify 5-year survival, the factors that influence it, and the scoring value of predictors of survival in children aged 1-18 years diagnosed with acute lymphoblastic leukemia (LLA) in RSAB Harapan Kita. This study is an analytic observational study that used retrospective cohort study design. The sample was 130 LLA patients diagnosed in 2013-2014 who were obtained from a non-probability sampling technique consecutive sampling. Data were collected by tracking the patient's medical records. Data were analyzed using KaplanMeier analysis and Cox Regression. The results show that the LLA patient's survival rate probability from 2013-2014 was 92.25% with a median survival rate of 60 months. Based on multivariate analysis using Cox regression interaction models, the most influential factors on survival rate of LLA patients were comorbidity (p = 0.002; HR = 10.76 CI; 2.38-48.55), remission (p = 0.001; HR = 13.28 CI2.98-59.73) and relapse (p = 0.014; HR = 7.92 CI; 1.5341.12)
T-6014
Depok : FKM-UI, 2020
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Grace Mediana P.; Pembimbing: Nuning M. Kiptiyah; Penguji: Sudarti Kreno, Lukman Hakim Tarigan, Hernani, Sukmahadi Thawaf
T-1376
Depok : FKM UI, 2002
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Sumarman; Pembimbing: Krisnawati Bantas; Penguji: Yovsyah, I Nyoman Kandum, Syahrizal Syarif
T-3406
Depok : FKM UI, 2011
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Lasmaria Sitorus; Pembimbing: Bambang Sutrisna; Penguji: Budhi Setianto, Bambang Budi Siswanto, Wahyono, Tri Yunis Miko, Nurhayati Adnan
T-2489
Depok : FKM-UI, 2007
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Zarnuzi; Pembimbing: Tri Yunis Miko Wahyono; Penguji: Helda, Suhardini
Abstrak:
Keterlambatan diagnosis dapat memperparah penyakit, meningkatkan risiko kematian dan kemungkinan penularan tuberkulosis di masyarakat. Penelitian ini bertujuan untuk mengetahui berapakah proporsi dan lama waktu keterlambatan diagnosis dan faktor risiko apa saja yang berhubungan dengan keterlambatan diagnosis TB paru di Kabupaten Tebo. Penelitian ini menggunakan desain cross sectional yang dilakukan pada penderita tuberkulosis yang berobat di rumah sakit dan puskesmas dalam Kabupaten Tebo tahun 2018. Sampel dalam penelitian ini berjumlah 366 responden. Anaisis multivariat menggunakan cox regression. Hasil penelitian proporsi keterlambatan diagnosis (>28 hari) sebesar 63,93%. Faktor predisposisi (umur ≥ 45 tahun), faktor pendukung (jenis UPK Non-DOTS dikunjungi pertama kali, stigma tinggi dan jarak tempuh ke UPK ≥ 30 menit) dan faktor kebutuhan (persepsi penyakit tidak serius) merupakan faktor risiko yang berhubungan dengan keterlambatan diagnosis. Perlu dilakukan peningkatan kualitas program pengendalian tuberkulosis, penyuluhan tuberkulosis agar masyarakat mempunyai persepsi yang benar terhadap tuberkulosis dan untuk mengurangi stigma negatif terhadap penyakit tuberkulosis, meningkatkan akses ke unit pelayanan kesehatan DOTS serta penemuan secara aktif untuk mengurangi keterlambtan diagnosis
Delay in diagnosis can lead to increased severity of the disease, increased the risk of death and the possibility of transmission of tuberculosis in the community. The objective of this study was to determine proportion and the length of delay in diagnosis and factors associated with the delay in diagnosis among pulmonary tuberculosis patient in Tebo Distric. This study design using cross sectional conducted in patients with tuberculosis who was treated at hospitals and health centers at Tebo District in 2018. The sample in this study amounted to 366 respondents. Multivariat analysis using a multivariate cox regression. The results showed that the proportion of diagnosis delay (> 28 days) was 63.93 %. Predisposing factors (age ≥ 45 years), enabling factors (first consulting Non- DOTS health care unit, high stigma and distance to the health care unit DOTS ≥ 30 minutes) and need factors (perception of the disease is not serious) are risk factors associated with the diagnostic delay. Necessary improving the quality of tuberculosis control programs, counseling tuberculosis so that people have the correct perception against tuberculosis and to reduce the negative stigma against tuberculosis, improving access to health care units DOTS and active case finding are vital to reduce diagnostic delay
Read More
Delay in diagnosis can lead to increased severity of the disease, increased the risk of death and the possibility of transmission of tuberculosis in the community. The objective of this study was to determine proportion and the length of delay in diagnosis and factors associated with the delay in diagnosis among pulmonary tuberculosis patient in Tebo Distric. This study design using cross sectional conducted in patients with tuberculosis who was treated at hospitals and health centers at Tebo District in 2018. The sample in this study amounted to 366 respondents. Multivariat analysis using a multivariate cox regression. The results showed that the proportion of diagnosis delay (> 28 days) was 63.93 %. Predisposing factors (age ≥ 45 years), enabling factors (first consulting Non- DOTS health care unit, high stigma and distance to the health care unit DOTS ≥ 30 minutes) and need factors (perception of the disease is not serious) are risk factors associated with the diagnostic delay. Necessary improving the quality of tuberculosis control programs, counseling tuberculosis so that people have the correct perception against tuberculosis and to reduce the negative stigma against tuberculosis, improving access to health care units DOTS and active case finding are vital to reduce diagnostic delay
T-5596
Depok : FKM-UI, 2019
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
