Ditemukan 32331 dokumen yang sesuai dengan query :: Simpan CSV
Karina Widyasari; Pembimbing: Mondastri Korib Sudaryo; Penguji: Renti Mahkota, Muhammad Bal'an Kamali Rangkuti, Elvita Dwi Amelia
Abstrak:
Corona Virus Disease 2019 (COVID-19) merupakan suatu penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). COVID-19 merupakan penyakit nomor satu dalam daftar kasus terbanyak dirawat inap sekaligus penyebab kematian tertinggi di Rumah Sakit Umum Daerah (RSUD) Tarakan pada tahun 2022. Oleh karena itu, penting dilakukannya penelitian terkait faktor-faktor yang berhubungan dengan kematian pasien COVID-19 di Layanan Rawat Inap RSUD Tarakan tahun 2022. Penelitian ini menggunakan desain kohort retrospektif dengan data sekunder dari laporan Electronic Health Records RSUD Tarakan. Variabel yang diteliti adalah karakterisik pasien, penyakit penyerta, komplikasi, dan tatalaksana kasus COVID-19. Jumlah sampel yang memenuhi kriteria untuk dianalisis sebanyak 550. Hasil analisis multivariat dengan cox regression time constant menemukan faktor risiko dalam kejadian kematian pasien COVID-19 di Layanan Rawat Inap RSUD Tarakan tahun 2022 adalah derajat keparahan (aRR 2,95; 95%CI 1,61-5,39), penyakit ginjal kronik (aRR 3,19; 95%CI 1,62-6,31), serta penggunaan ventilasi mekanik invasif <96 jam (aRR 3,50; 95%CI 1,97-6,22) dan ≥96 jam (aRR 2,44; 95%CI 1,24-4,80). Sedangkan faktor protektifnya adalah penggunaan antivirus favipiravir (aRR 0,33; 95%CI 0,16-0,70). Berdasarkan hasil tersebut, peneliti menyarankan rumah sakit untuk memperbaiki clinical pathway dan standar operasional prosedur yang memperhatikan faktor risiko dan protektif kematian COVID-19.
Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). In 2022, COVID-19 was the leading cause of inpatient admissions and deaths at Tarakan Regional General Hospital (RSUD Tarakan). This highlights the importance of investigating factors related to mortality of COVID-19 inpatient at RSUD Tarakan in 2022. This study uses a retrospective cohort design with secondary data from the hospital's Electronic Health Records (EHR). The variables studied included patient’s characteristics, comorbid, complications, and the management of COVID-19 cases. A total of 550 samples met the criteria for analysis. Multivariate analysis using cox regression with time constant identified several risk factors for COVID-19-related deaths at RSUD Tarakan in 2022, including severity (aRR 2.95; 95%CI 1.61-5.39), chronic kidney disease (aRR 3.19; 95%CI 1.62-6.31), and the duration of invasive mechanical ventilation for <96 hours (aRR 3.50; 95%CI 1.97-6.22) and ≥96 hours (aRR 2.44; 95%CI 1.24-4.80). Meanwhile, protective factors include the use of favipiravir (aRR 0.33; 95%CI 0.16-0.70) and remdesivir (aRR 0.69; 95%CI 0.38-1.26). Based on these findings, the researchers recommend that hospital improve clinical pathways and standard operating procedures that take into account the risk and protective factors for COVID-19 mortality
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Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). In 2022, COVID-19 was the leading cause of inpatient admissions and deaths at Tarakan Regional General Hospital (RSUD Tarakan). This highlights the importance of investigating factors related to mortality of COVID-19 inpatient at RSUD Tarakan in 2022. This study uses a retrospective cohort design with secondary data from the hospital's Electronic Health Records (EHR). The variables studied included patient’s characteristics, comorbid, complications, and the management of COVID-19 cases. A total of 550 samples met the criteria for analysis. Multivariate analysis using cox regression with time constant identified several risk factors for COVID-19-related deaths at RSUD Tarakan in 2022, including severity (aRR 2.95; 95%CI 1.61-5.39), chronic kidney disease (aRR 3.19; 95%CI 1.62-6.31), and the duration of invasive mechanical ventilation for <96 hours (aRR 3.50; 95%CI 1.97-6.22) and ≥96 hours (aRR 2.44; 95%CI 1.24-4.80). Meanwhile, protective factors include the use of favipiravir (aRR 0.33; 95%CI 0.16-0.70) and remdesivir (aRR 0.69; 95%CI 0.38-1.26). Based on these findings, the researchers recommend that hospital improve clinical pathways and standard operating procedures that take into account the risk and protective factors for COVID-19 mortality
T-7191
Depok : FKM UI, 2025
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Soraya Hidayati; Pembimbing: Nurhayati Adnan; Penguji: Helda, Ririn Saptorini
Abstrak:
Jumlah penderita dan kasus kematian akibat infeksi virus COVID -19 setiap harinya terus bertambah dan terus muncul varian virus COVID yang baru. Lebih dari 80% kematian karena COVID-19 terjadi pada penderita yang berusia di atas 65 tahun dan memiliki riwayat komorbid. Tujuan penelitian ini untuk mengetahui faktorfaktor yang dapat meningkatkan risiko kematian COVID-19 pada pasien lansia yang melakukan rawat inap di RSUD Karanganyar Penelitian ini merupakan studi kuantitatif dengan desain cross sectional menggunakan data sekunder dari file data base rekam medis pasien rawat inap di RSUD Karanganyar yaitu sebanyak 322 pasien lansia Analisis data dilakukan dengan menggunakan regresi logistik untuk menguji hubungan variabel independen jenis kelamin, TBC paru, diabetes mellitus, ginjal kronis, stroke, dan jantung dengan kematian pasien COVID-19 lansia sebagai variabel dependennya Sebanyak 61 (18,9%) pasien COVID-19 lansia meninggal dunia. Sebanyak 33 (54,1%) pasien lansia adalah perempuan
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T-6404
Depok : FKM-UI, 2022
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Ade Ayu Lanniari Harahap; Pembimbing: Helda; Penguji: Sudarto Ronoatmodjo, Chita Septiawati, Mohammad Fahdhy
Abstrak:
Peningkatan jumlah kasus COVID-19 dan penyebarannya di berbagai negara terjadi berlangsung cukup cepat dan dalam waktu singkat. Hingga 4 Mei 2021, total kasus konfirmasi COVID-19 global adalah 152.534.452 dengan 3.198.528 kematian. Pemerintah Indonesia telah melaporkan 1.682.004 orang dengan COVID-19 yang dikonfirmasi, tertinggi di Asia Tenggara. Sebanyak 45.949 kematian terkait COVID-19 yang dilaporkan, dengan CFR sebesar 2,7%. Kematian akibat COVID-19 di Indonesia berada pada peringkat ke-2 di Asia dan ke-17 di dunia. Studi kasus-kontrol dilakukan menggunakan data rekam medis pasien COVID-19 di RSUP Haji Adam Malik Medan periode Maret 2020-Desember 2020. Penelitian ini mendeskripsikan karakteristik serta mengidentifikasi faktor-faktor yang berhubungan dengan kematian pada pasien COVID-19. Hasil penelitian melalui analisis multivariat logistik regresi menunjukkan bahwa, adanya peningkatan risiko terhadap kematian pada usia ≥ 60 tahun (OR=5.495, 95% CI: 2.398-12.591), demam (OR=4.441, 95% CI: 1.401-14.077), sesak napas (OR=8.310, 95% CI: 3.415-20.220), riwayat hipertensi (OR=2.454, 95% CI: 1.159-5.196), riwayat penyakit ginjal kronik (OR=10.460 kali, 95% CI: 3.282-33.331), riwayat penyakit kanker (OR=16.137, 95% CI: 2.798-96.147) pada pasien COVID-19 yang dirawat inap di RSUP Haji Adam Malik Medan Tahun 2020
The increase in the number of cases of COVID-19 and its spread in various countries occurred quite quickly and in a short time. As of May 4, 2021, the total global confirmed cases of COVID-19 were 152,534,452 with 3,198,528 deaths. The Indonesian government has reported 1,682,004 people with confirmed COVID-19, the highest in Southeast Asia. A total of 45,949 COVID-19-related deaths were reported, with a CFR of 2.7%. Deaths from COVID-19 in Indonesia are ranked 2nd in Asia and 17th in the world. A case-control study was conducted using medical records of COVID-19 patients at Haji Adam Malik General Hospital in Medan for the period March 2020-December 2020. This study describes the characteristics and identifies factors associated with death in COVID-19 patients. The results of the study through multivariate logistic regression analysis showed that there was an increased risk of death at age 60 years (OR = 5,495, 95% CI: 2,398-12,591), fever (OR = 4,441, 95% CI: 1,401-14,077), shortness of breath. breath (OR=8,310, 95% CI: 3,415-20,220), history of hypertension (OR=2,454, 95% CI: 1.159-5,196), history of chronic kidney disease (OR=10,460 times, 95% CI: 3.282-33,331) history of cancer (OR=16,137, 95% CI: 2,798-96,147) in COVID-19 patients who were hospitalized at Haji Adam Malik General Hospital Medan in 2020
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The increase in the number of cases of COVID-19 and its spread in various countries occurred quite quickly and in a short time. As of May 4, 2021, the total global confirmed cases of COVID-19 were 152,534,452 with 3,198,528 deaths. The Indonesian government has reported 1,682,004 people with confirmed COVID-19, the highest in Southeast Asia. A total of 45,949 COVID-19-related deaths were reported, with a CFR of 2.7%. Deaths from COVID-19 in Indonesia are ranked 2nd in Asia and 17th in the world. A case-control study was conducted using medical records of COVID-19 patients at Haji Adam Malik General Hospital in Medan for the period March 2020-December 2020. This study describes the characteristics and identifies factors associated with death in COVID-19 patients. The results of the study through multivariate logistic regression analysis showed that there was an increased risk of death at age 60 years (OR = 5,495, 95% CI: 2,398-12,591), fever (OR = 4,441, 95% CI: 1,401-14,077), shortness of breath. breath (OR=8,310, 95% CI: 3,415-20,220), history of hypertension (OR=2,454, 95% CI: 1.159-5,196), history of chronic kidney disease (OR=10,460 times, 95% CI: 3.282-33,331) history of cancer (OR=16,137, 95% CI: 2,798-96,147) in COVID-19 patients who were hospitalized at Haji Adam Malik General Hospital Medan in 2020
T-6315
Depok : FKM-UI, 2022
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Mailisafitri; Pembimbing: Renti Mahkota; Penguji: Yovsyah, Fatum Basalamah
S-6787
Depok : FKM-UI, 2011
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Egydhia Zalfa Salsabila; Pembimbing: Trisari Anggondowati; Penguji: Putri Bungsu, Alan Dwi Krisnandi
Abstrak:
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Severe Acute Respiratory Infection (SARI) merupakan salah satu tantangan kesehatan masyarakat, sebab memicu epidemi, mulai dari H1N1 hingga pandemi Covid-19. Oleh sebab itu, diperlukan informasi yang dapat membantu perencanaan kesehatan, terutama untuk mengantisipasi beban penyakit SARI. Namun, studi mengenai karakteristik pasien dan lama rawat inap pasien SARI masih terbatas. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan lama rawat inap pasien SARI di rumah sakit sentinel di Indonesia. Penelitian ini menggunakan desain cross-sectional, menganalisis data sekunder dari surveilans sentinel SARI selama Januari 2020 hingga Desember 2023. Analisis dilakukan terhadap seluruh kasus yang tercatat dalam sistem surveilans SARI dan memenuhi definisi kasus SARI, serta memiliki informasi tanggal masuk dan keluar rumah sakit, kecuali pasien pulang paksa atau dirujuk. Terdapat 2.127 kasus SARI yang diikutsertakan dalam penelitian. Median lama rawat pasien SARI adalah 5 hari. Faktor-faktor yang berhubungan dengan lama rawat inap lebih dari median (>5 hari) adalah adanya satu komorbiditas (POR = 2,34; CI 95%: 1,85—2,98), lebih dari satu komorbiditas (POR: 1,93; CI 95%: 1,51—2,46), memiliki gejala sakit tenggorokan (POR: 1,30 ; CI 95%: 1,063—1,58), sesak napas (POR: 1,48; CI 95%: 1,24—1,76), perawatan di ruang intensif (POR = 2,28; CI 95%: 1,63—3,20), penggunaan ventilator (POR: 1,56; CI 95%: 1,09—2,22), dan intubasi (POR: 3,62; CI 95%: 1,76—7,42). Kelompok umur
Severe Acute Respiratory Infection (SARI) is one of the health challenges facing communities as it can trigger epidemics, ranging from H1N1 to the Covid-19 pandemic. Therefore, there is a need for information that can assist with health planning, specifically in the anticipation of the disease burden associated with SARI. However, studies on the characteristics of patients and the length of hospitalization for SARI patients remain scarce. This research aims to identify factors associated with the length of hospitalization for SARI patients in sentinel hospitals in Indonesia. This research utilizes a cross-sectional design and analyzes secondary data from sentinel SARI surveillance from January 2020 to December 2023. The analysis was conducted on all cases recorded in the SARI surveillance system and meeting the SARI case definition, as well as having information on admission and discharge dates, except for patients who were discharged against medical advice or referred elsewhere. There were 2.127 SARI cases included in the study. The median length of hospitalization for SARI patients was 5 days. Factors associated with a hospitalization duration that exceeded the median (>5 days) included a single comorbidity (POR = 2.34; 95% CI: 1.85-2.98), multiple comorbidities (POR: 1.93; CI 95%: 1.51—2.46), symptoms of sore throat (POR: 1.30; CI 95%: 1.063—1.58), shortness of breath (POR: 1.48; CI 95%: 1.24—1.76), intensive care treatment (POR = 2.28; CI 95%: 1.63—3.20), ventilator use (POR: 1.56; CI 95%: 1.09—2.22), and intubation (POR: 3.62; CI 95%: 1.76—7.42). The age group (
S-11677
Depok : FKM UI, 2024
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Henik Saefulmilah; Pembimbing: Tri Yunis Miko; Penguji: Putri Bungsu, Budi Rahayu
Abstrak:
Phlebitis merupakan inflamasi vena yang disebabkan oleh bakteri, iritasi kimiamaupun mekanik, kejadian phlebitis di RSPG Cisarua Bogor merupakan angkainfeksi rumah sakit yang tertinggi selama tahun 2015 yaitu sebesar 18,5%.Penelitian ini bertujuan untuk mengetahui distribusi dan faktor-faktor yangberhubungan dengan kejadian phlebitis pada pasien rawat inap di RSPG CisaruaBogor tahun 2015. Penelitian ini menggunakan desain case control, sampelpenelitian 100 kelompok kasus dan 200 kelompok kontrol, lokasi penelitian diRSPG Cisarua Bogor.Penelitian ini menunjukkan bahwa faktor-faktor yang mempengaruhi kejadianphlebitis di RSPG Cisarua Bogor tahun 2015 adalah usia (P value 0,001; OR12,86; 95% CI 1,7-98,2), status gizi (P value 0,001; OR 0,4; 95% CI 0,2-0,7),lama hari rawat (P value 0,001; OR 2,24; 95% CI 1,36-3,70), dan proses masukrawat (P value 0,052; OR 0,43; 95% CI 0,19-0,95). Dengan demikian diharapkanperawat diberikan pelatihan khusus untuk dapat melakukan perawatan lebih baikdalam pemasangan dan pemeliharan intravena line (IVL) terutama pada pasien-pasien yang berisiko tersebut.Kata Kunci : Phlebitis, faktor-faktor, pasien.
Phlebitis is an inflammation of a vein caused by bacteria, chemical or mechanicalirritants, the incidence of phlebitis in RSPG Cisarua Bogor a hospital infectionrates are highest during the year 2015 with numbers cumulatif incidence of18.5%. This study aims to determine the distribution and factors related to theincidence of phlebitis in patients hospitalized in RSPG Cisarua Bogor in 2015.This study used case control design, sample 100 in the case group and 200 in thecontrol group, with research sites in RSPG Cisarua Bogor.The results of this study indicate that factors that influence the incidence ofphlebitis in RSPG Cisarua Bogor in 2015 were age (P value 0.001; OR 12.86;95% CI 1.7 to 98.2), nutritional status (P value 0.001; OR 0.4; 95% CI 0.2 to 0.7),length of stay (P value 0.001; OR 2.24; 95% CI 1.36 to 3.70), and the process ofadmission (P value 0.052 ; OR 0.43; 95% CI 0.19 to 0.95). Nurses are expected tobe given specialized training to be able to do better care in the installation andmaintenance of intra venous line (IVL), especially in patients who are at risk.Keywords: phlebitis, factors, patient.
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Phlebitis is an inflammation of a vein caused by bacteria, chemical or mechanicalirritants, the incidence of phlebitis in RSPG Cisarua Bogor a hospital infectionrates are highest during the year 2015 with numbers cumulatif incidence of18.5%. This study aims to determine the distribution and factors related to theincidence of phlebitis in patients hospitalized in RSPG Cisarua Bogor in 2015.This study used case control design, sample 100 in the case group and 200 in thecontrol group, with research sites in RSPG Cisarua Bogor.The results of this study indicate that factors that influence the incidence ofphlebitis in RSPG Cisarua Bogor in 2015 were age (P value 0.001; OR 12.86;95% CI 1.7 to 98.2), nutritional status (P value 0.001; OR 0.4; 95% CI 0.2 to 0.7),length of stay (P value 0.001; OR 2.24; 95% CI 1.36 to 3.70), and the process ofadmission (P value 0.052 ; OR 0.43; 95% CI 0.19 to 0.95). Nurses are expected tobe given specialized training to be able to do better care in the installation andmaintenance of intra venous line (IVL), especially in patients who are at risk.Keywords: phlebitis, factors, patient.
S-9037
Depok : FKM-UI, 2016
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Shalzaviera Azniatinesa; Pembimbing: Asri C. Adisasmita; Penguji: Sudarto Ronoatmodjo, Marthino Robinson
Abstrak:
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Corona virus disease (COVID-19) merupakan penyakit menular yang disebabkan oleh virus SARS-CoV-2 yang ditemukan pada Desember 2019 di Kota Wuhan, Cina. Kebanyakan orang dapat mengalami gejala ringan hingga sedang, namun pada beberapa orang infeksi virus corona dapat menyebabkan masalah yang serius sehingga memerlukan perhatian medis. Sumber daya kesehatan seperti fasilitas kesehatan, obat-obatan, dan tenaga kesehatan menjadi hal yang krusial di masa pandemi. Penelitian ini bertujuan untuk mengetahui faktor apa saja yang berpengaruh terhadap lama waktu sakit sampai sembuh dari infeksi COVID-19. Studi ini menggunakan desain kohort retrospektif dengan pendekatan analisis survival. Jumlah sampel pada penelitian ini adalah 339 sampel yang diambil dengan menggunakan teknik random. Data diperoleh dari data rekam medis pasien COVID-19 di RSUD Kota Bogor pada periode Januari ? Desember 2021. Analisis data menggunakan Log rank test untuk melihat perbedaan probabilitas survival dan Cox Proportional Hazard untuk melihat faktor apa saja yang berpengaruh terhadap lama sakit dari infeksi COVID-19. Hasil penelitian menunjukkan usia >60 tahun (HR 0,625; 95% CI 0,440 ? 0,888), penyakit ginjal kronik (HR 0,471; 95% CI 0,261 ? 847), ARDS (HR 0,413; 95% CI 0,274 ? 0,622), hiperkoagulasi (HR 0,737; 95% CI 0,567 ? 0,958), dan riwayat rawat di ruang ICU (HR 0,335; 95% CI 0,159 ? 0,705) merupakan faktor yang berhubungan dengan lama sakit sampai sembuh dari infeksi COVID-19 (p-value <0,05). Diharapkan bagi tenaga kesehatan untuk memprioritaskan pasien COVID-19 yang berisiko mengalami hal tersebut.
Corona virus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus which was discovered in December 2019 in Wuhan City, China. Most people can experience mild to moderate symptoms, but in some people coronavirus infection can cause serious problems that require medical attention. Health resources such as health facilities, medicines, and health workers are crucial during a pandemic. This study aims to find out factors affect the length of time from illness to recovery from COVID-19 infection. This study used a retrospective cohort design with a survival analysis approach. The number of samples in this study were 339 samples taken using a random sampling technique. Data were obtained from medical records of COVID-19 patients at Bogor City Regional General Hospital in the period January - December 2021. Data were analyzed using the Log rank test to see the difference in probability of survival and Cox Proportional Hazard to see factors influence the length of illness from COVID-19 infection. The results showed age >60 years (HR 0.625; 95% CI 0.440 ? 0.888), chronic kidney disease (HR 0.471; 95% CI 0.261 ? 847), ARDS (HR 0.413; 95% CI 0.274 ? 0.622), hypercoagulation (HR 0.737; 95% CI 0.567 ? 0.958), and ICU admission (HR 0.335; 95% CI 0.159 ? 0.705) were factors associated with length of illness until recovery from COVID-19 infection (p-value <0.05). It is hoped that health workers will prioritize COVID-19 patients who are at risk of experiencing those factors.
T-6498
Depok : FKM-UI, 2023
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Lutfiani Fajrin; Pembimbing: Syahrizal; Penguji: Nurhayati Adnan, Helmi; Ahmad Hidayat
Abstrak:
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Reinfeksi Covid-19 didefinisikan sebagai telah sembuh dari infeksi COVID-19 kemudian terinfeksi kembali. Banyaknya laporan kejadian reinfeksi dibeberapa negara seperti Hongkong, Nevada, Amerika Serikat, Belgium, Ekuador, India, dan negara lainnya menunjukkan besaran masalah reinfeksi. Oleh karena itu, penelitian ini dilakukan untuk mengetahui faktor yang beresiko terhadap kejadian reinfeksi COVID-19. Studi ini menggunakan desain cross-sectional dalam mengetahui faktor resiko reinfeksi COVID-19. Subjek penelitian ini adalah pasien dengan riwayat reinfeksi yang memenuhi kriteria inklusi dan eklusi dari data surveilans epidemiologi di RSDC Wisma Atlet, Jakarta pada bulan Juli – Desember 2021. Hasil penelitian menunjukkan terdapat 7 variabel yang berhubungan dengan reinfeksi COVID-19 pada pasien RSDC WAK: usia 30-39 tahun (POR: 0.60, 95% CI: 0.47-0.77), usia ≥40 tahun (POR 0.41, 95%CI: 0.32-0.53), variabel pekerjaan; non-nakes (POR: 0.91, 95% CI: 0.68-1.22), nakes (POR: 1.80, 95% CI: 1.32-2.46), riwayat kontak erat (POR: 0.75, 95% CI: 0.59-0.97), penggunaan transportasi umum (POR: 1.36, 95% CI:1.02-1.79), perjalanan ke luar daerah (POR: 0.69, 95% CI: 0.51-0.96), bepergian ke fasilitas umum (POR: 2.01, 95% CI: 1.45-2.78), status vaksin; vaksin dosis 1 (POR: 0.56, 95% CI: 0.42-0.74), dan belum vaksinasi (POR:0.62, 95% CI: 0.48-0.78). Determinan atau faktor prediktor dominan reinfeksi COVID-19 pada pasien rawat inap RSDC WAK adalah variabel bepergian ke fasilitas umum.
COVID-19 reinfection defined as a person who has recovered from infection with COVID-19 then re-infected. The number of reinfection report in several countries such as Hongkong, Nevada, Amerika Serikat, Belgium, Ekuador, India, and the other country shows the magnitude of the reinfection problem. Therefore, this study was conducted to determine risk factor of COVID-19 reinfection. This study is an analytical study with a cross-sectional to determine the risk factors of COVID-19 reinfection. The subjects of this study were patients with a history of reinfection who met the inclusion and exclusion criteria from secondary data (epidemiological surveillance data) at the RSDC Wisma Atlet Kemayoran, Jakarta (RSDC WAK) in July – December 2021. The results showed that there were 7 variables related to the incidence of reinfection of COVID-19 in RSDC WAK patients, including: age; age 30-39 years old (POR: 0.60, 95% CI: 0.47-0.77), age ≥40 years old (POR 0.41, 95%CI: 0.32-0.53), occupation; non-health workers occupation (POR: 0.91, 95% CI: 0.68-1.22), health worker occupation (POR: 1.80, 95% CI: 1.32-2.46), history of close contact (POR: 0.75, 95% CI: 0.59-0.97), public transportation uses (POR: 1.36, 95% CI: 1.02-1.79), travel outside the region (POR: 0.69, 95% CI: 0.51-0.96), visit public facilities (POR: 2.01, 95% CI: 1.45 -2.78), vaccine status; vaccinated doses 1 (POR: 0.56, 95% CI: 0.42-0.74), and unvaccinated (POR:0.62, 95% CI: 0.48-0.78). Predictor of COVID-19 reinfection in inpatients at RSDC WAK is visit public facilities.
T-6560
Depok : FKM UI, 2022
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Yovella Medhira Pujiasti; Pembimbing: Putri Bungsu; Penguji: Modastri Korib Sudaryo, Laura Hotdiana
S-9430
Depok : FKM-UI, 2017
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Nurhanifah Hamdah; Pembimbing: Helda; Penguji: Soedarto Ronoatmodjo, Vivi Voronika
Abstrak:
Diphtheria is a re-emerging disease caused by the Corynebacterium diphtheria bacteria
and causes death. The death from diphtheria in the world has CFR of 5-10% while in
Indonesia has CFR is 2% that make it becomes one of public health concerns. This study
aims to determine the factors associated with diphtheria deaths in Indonesia in 2018 using
surveillance data on routine reports of diphtheria cases in Indonesia in 2018. The study
design used was cross-sectional with a unit of analysis of individuals suffering from
diphtheria in Indonesia in 2018. In this study there were 817 cases with 2.8% of patients
dying and mostly of them living in West Java province (211 patients). Sex factors,
primary diphtheria immunization status, and Serum Anti Diphtheria (ADS) status were
not statistically related to diphtheria deaths. Factors statistically associated with
diphtheria deaths were age <15 years (OR = 7.863; 95% CI = 1,831 - 33,77) and diagnosis
of diphtheria patients from laboratory confirmation (OR = 2,774; 95% CI = 1,000 -
7,693).
Key words: Diphtheria, Death, Factors, Indonesia, 2018
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S-9903
Depok : FKM UI, 2019
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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