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"ABSTRAKAngka Kematian Ibu di Indonesia masih tinggi. Salah satu penyebabnya yaitu persalinan yang tidak dilakukan di fasilitas kesehatan. Penelitian ini bertujuan untuk mengetahui faktor yang berhubungan dengan persalinan pada non fasilitas kesehatan di Indonesia tahun 2013. Data yang digunakan yaitu data Riset Kesehatan Dasar (Riskesdas) 2013 pada 42.587 wanita usia subur yang melahirkan terakhir kali pada kurun waktu 3 tahun terakhir. Analisis data menggunakan uji Chi Square, Chi Square Mantel Haenzel dan regresi logistik. Hasil menunjukkan peningkatan risiko persalinan di non fasilitas kesehatan pada responden berumur muda, paritas tinggi, pendidikan rendah, status ekonomi terbawah, tinggal di perdesaan. Ada hubungan antara tempat persalinan dengan waktu tempuh, jaminan kesehatan, perencanaan kehamilan, tempat ANC, frekuensi ANC, trimester mulai ANC dan pelayanan ANC. Perlu peningkatan komunikasi, informasi, dan edukasi mengenai perencanaan persalinan yang aman di fasilitas kesehatan.

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ABSTRACTMaternal mortality rate in Indonesia is still high. Non facility based delivery is known as one of the linked factor. This study aims to show factors associated with non facility based delivery in Indonesia 2013. The data used is from the Riset Kesehatan Dasar (Riskesdas) 2013, there are 42.587 women age 15-49 who gave birth to her latest pregnancy in the 3 years preceding the survey. The data was analysed using Chi Square, Chi Square Mantel Haenzel and logistic regression model. Result shows higher risk of giving birth at non healthcare facilities when mother is younger, have higher parity, lower education, at the lowest quintile of economic status, lives in the rural area. There is association between the place of delivery with time needed to reach facilities, health insurance, pregnancy planning, place of antenatal care, frequency of antenatal care, trimester of first antenatal care visit and the antenatal care services. Communication, information and education about safer delivery planning in healthcare facilities are greatly needed."

"Latar Belakang: Pandemi COVID-19 menyebabkan mortalitas dan morbiditas yang tinggi khususnya pada tenaga kesehatan di Indonesia, Studi mengenai manfaat dari vaksin booster mRNA-1273 yang diawali vaksinasi primer Coronavac masih minim sehingga diperlukan penelitian lebih lanjut.Tujuan: Penelitian ini dilakukan untuk mengetahui faktor yang berhubungan dengan insiden COVID-19 pasca vaksinasi booster mRNA-1273 yang diberikan vaksinasi primer Coronavac sebelumnya serta profil antibodi pada tenaga kesehatan di Indonesia.Metode: Penelitian ini menggunakan gabungan desain kohort retrospektif dan potong lintang pada 300 tenaga kesehatan yang dipilih secara acak dari data penerima vaksin booster mRNA-1273 di salah satu RS tersier (RSCM). Subjek yang terpilih kemudian dilakukan wawancara mendalam mengenai riwayat vaksinasi COVID-19, riwayat terinfeksi COVID-19, komorbiditas dan dilakukan pengambilan sampel darah untuk menilai kadar antibodi IgG sRBD. Dari hasil wawancara kemudian dinilai faktor-faktor yang berhubungan terhadap kejadian COVID-19 pasca vaksinasi booster mRNA-1273 serta profil antibodi subjek.Hasil: 56 orang (18,6%) mengalami COVID-19 setelah divaksinasi booster dalam 5 bulan. Incidence rate per person per month sebesar 3,2%. Median antibodi IgG sRBD dalam 8 bulan 6627 AU/ml (min-max, 729-20374 AU/ml) dan tidak berhubungan dengan variabel usia, jenis kelamin, komorbiditas, KIPI pasca booster ataupun riwayat infeksi pasca booster. Usia, jenis kelamin, diabetes melitus tipe 2, hipertensi, obesitas dan KIPI pasca booster tidak berhubungan terhadap insiden COVID-19 pasca booster. Riwayat COVID-19 sebelum vaksinasi booster berhubungan signifikan terhadap penurunan kejadian COVID-19 pasca vaksinasi booster dengan RR 0,20 (95 % CI: 0,09-0,45).Simpulan: Insiden COVID-19 mencapai 18,6% dalam 5 bulan pasca vaksinasi booster dengan riwayat COVID-19 sebelum vaksinasi booster berperan dalam menurunkan risiko kejadian COVID-19 pasca vaksinasi booster.

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Background: COVID-19 pandemic has caused high mortality and morbidity especially among healthcare workers in Indonesia. Studies on the benefits of the mRNA-1273 booster vaccine preceded with Coronavac primary vaccine are still minimal so further studies are needed.

Purpose: Knowing the factors associated with the incidence rate of SARS-CoV-2 infection after mRNA-1273 booster vaccination starting with the Coronavac primary vaccination and the antibody profile of healthcare workers in Indonesia.

Method: This study used combined design of retrospective cohort and cross sectional study. Three hundreds healthcare workers at one of tertiary hospital in Indonesia that obtain mRNA-1273 booster vaccine minimal after 5 months were randomly selected. Subjects were then interviewed regarding their history of COVID-19 vaccination, history of SARS-CoV-2 infection, comorbidities and blood samples were taken to assess IgG sRBD antibody levels. Factors related to antibody profile and incidence of SARS-CoV-2 infection after the mRNA-1273 booster vaccination were then analyzed.

Results: 56 subjects (18.6%) experienced SARS-CoV-2 infection after mRNA-1273 booster vaccination. Median antibody IgG sRBD in 8 months was 6627 AU/ml (min-max, 729-20374 AU/ml) and not related to age, gender, comorbidities, AEFI after booster and infection after booster. Age, gender, diabetes type 2, hypertension, obesity, AEFI after booster were not related to COVID-19 incidence after booster. History of SARS-CoV-2 infection before booster vaccination was significantly associated with reduced risk of SARS-CoV-2 infection after booster vaccination with RR 0,20 (95 % CI: 0,09-0,45).

Conclusion: Cumulative incidence of SARS-CoV-2 infection in 5 months was 18,6% with history of COVID-19 before booster correlated with reduced risk of COVID-19 after booster."

"Practical Healthcare Epidemiology takes a hands-on approach to infection prevention for physicians, healthcare epidemiologists, infection preventionists, microbiologists, nurses, and other healthcare professionals. Increased regulatory requirements and patient knowledge and involvement has elevated patient safety, healthcare-associated infections, antibiotic stewardship and quality-of-care to healthcare wide issues. This fully updated new edition brings together the expertise of leaders in healthcare epidemiology to provide best practice expert guidance on infection prevention for adult and pediatric patients in all types of healthcare facilities, from community hospitals and academic institutions, to long-term care and resource limited settings. Written in clear, straightforward terms to address prevention planning and immediate responses to specific situations, this is the go-to resource for any practitioners in medicine or public health involved in infection prevention, regardless of their current expertise in the field."

"Kesehatan merupakan hal yang penting dalam kehidupan, dengan teknologi yang semakin canggih, salah satunya adalah teknologi Internet of Things (IoT). Internet of Things menyediakan layanan kesehatan karena berbagai fungsinya, seperti aksesibilitas dan keterjangkauan layanan kesehatan. Makalah ini menyajikan solusi untuk memudahkan pengguna dalam memantau kesehatan dengan menggunakan parameter tanda vital seperti tekanan darah, nadi, suhu tubuh, dan saturasi oksigen. Dengan berbasis Early Warning Score sehingga perawatan dan pemantauan kesehatan dapat dilakukan di rumah berdasarkan pemantauan real-time dan dicatat serta disimpan secara lokal. Sistem juga ditampilkan melalui situs web dan dapat dikirim melalui email untuk analisis lebih lanjut. Subyek dimonitor pada jam-jam tertentu, 1 jam, 2 jam dan 3 jam. Hasil tanda vital dari 15 subjek dengan rentang usia 18±63 menunjukkan rata-rata tekanan darah sistolic 125, tekanan darah diastolic 81, nadi 88,55, suhu tubuh 36,88, dan saturasi OK 97,53. Pengukuran tanda-tanda vital rata-rata pada pria menunjukkan tekanan darah sistolic 131, tekanan darah diastolic 84, detak jantung 93,3, suhu tubuh 36,9, dan saturasi oksigen 97,63. Sedangkan rata-rata pengukuran tanda vital pada wanita menunjukkan tekanan darah sistolic 119, tekanan darah diastolic 79, detak jantung 84,4, suhu tubuh 36,9, dan saturasi oksigen 97,44. Penelitian dari 15 subjek menunjukkan perhitungan skor total ews secara otomatis <4, hal ini menunjukkan bahwa risiko klinis rendah dari 15 subjek.

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Health is an important thing in life, with increasingly sophisticated technology, one of which is Internet of Things (IoT) technology. The Internet of Things provides health services because of its various functions, such as the accessibility and affordability of health services. This paper presents a solution to make it easier for users to monitor health by using parameters of vital signs such as blood pressure, pulse, body temperature, and oxygen saturation. With an Early Warning Score based so that health care and monitoring can be carried out at home based on real-time monitoring and recorded and stored locally. The system is also displayed via the website and can be emailed for further analysis. Subjects were monitored in certain hours, 1 hour, 2 hours and 3 hours. The results of the vital signs of 15 subjects with an age range of 18±63 showed an average of 125 systolic blood pressure, 81 diastolic blood pressure, 88.55 pulse, 36.88 body temperature, and 97.53 OK saturation. The average vital signs measurements in men showed a systolic blood pressure of 131, a diastolic blood pressure of 84, a pulse of 93.3, a body temperature of 36.9, and an oxygen saturation of 97.63. Meanwhile, the average measurement of vital signs in women showed systolic blood pressure of 119, diastolic blood pressure of 79, pulse of 84.4, body temperature of 36.9, and oxygen saturation of 97.44. Research from 15 subjects showed the calculation of the total ews score automatically <4, this indicates that the clinical risk is low from 15 subjects."