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All Journal ELKHA : Jurnal Teknik Elektro Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Jurnal Kesehatan Reproduksi Jurnal Kesehatan Masyarakat The Indonesian Biomedical Journal Sari Pediatri Paediatrica Indonesiana Jurnal Kesehatan Reproduksi Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education Jurnal Farmasi Sains dan Praktis
Rina Triasih
Department Of Child Health, Faculty Of Medicine, Public Health And Nursing, Universitas Gadjah Mada/Dr. Sardjito General Hospital, Yogyakarta, Central Java
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Medicine & Pharmacology Neuroscience Nursing Public Health

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BURNOUT AMONG PEDIATRIC TRAINEES IN INDONESIA: A NATIONAL SURVEY Annang Giri Moelyo; Bambang Tridjaja; Rina Triasih
Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education Vol 10, No 3 (2021): November
Publisher : Asosiasi Institusi Pendidikan Kedokteran Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpki.63683

Abstract

Background: The intense workload and complex learning environment in pediatric specialist training program may lead to trainees’ burnout. The study aimed to assess burnout and the associated factors among pediatric trainees in Indonesia.Methods: We conducted a multicentre study involving all (15) pediatric training institutions in Indonesia from June to August 2019. A General Oldenburg Burnout Inventory (OLBI) was translated to Indonesian language. The OLBI comprised of 16 questions which assessed exhaustion (8 questions) and disengagement (8 questions). The online questionnaire was self-completed by pediatric trainees in the study sites. Ordinal regressions were performed to assess risk factors (age, marital, sex, resident stage of training, and university) for exhaustion and disengagement.Results: A total of 841 trainees from 15 pediatric training institutions in Indonesia completed the survey (response rate 71.2%). The majority (72.1%) of the trainees was female with mean age of 31.2 ± 2.9 years. The Cronbach’s-alpha was 0.74. The mean exhaustion and disengagement scores were 2.58±0.23 and 2.51±0.23, respectively. The proportion of vigor, mild, moderate and severe exhaustion were 48.3%; 42.0%; 9.0%; and 0.7%, respectively. The proportion of dedicated, mild, moderate and severe disengagement were 36.9%; 46.5%; 14.5%; and 2.1%, respectively. The stage of training (junior-intermediate stage), after adjusted to age, sex and institution was significantly increase the risk for exhaustion [odd ratio 1.47 (95%CI; 1.22-1.76)]. Disengagement level was significantly different among pediatric training institutions (located in Java and outer Java) [odd ratio 0.68 (95%CI; 0.529-0.885)].Conclusion: Burnout was common among pediatric trainees in Indonesia.
COST OF ILLNESS OF INPATIENT PEDIATRIC MENINGITIS PATIENTS HOSPITALIZED IN YOGYAKARTA Ingenida Hadning; Dwi Endarti; Tri Murti Andayani; Rina Triasih
Jurnal Farmasi Sains dan Praktis Vol 6 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/pharmacy.v6i1.3292

Abstract

This research to determine the average cost of illness of inpatient pediatric meningitis patients hospitalized in the hospitals in Yogyakarta. It was a pharmacoeconomic study using the cost of illness method. The calculation of the cost in the care of inpatient pediatric meningitis patients according to a societal perspective was conducted observatively with a cross sectional design. Cost of illness analysis included calculating the costs of direct medical, direct non-medical, and indirect cost. Data were collected from a type-A public hospital and a type-B privatehospital in Yogyakarta by taking medical records, detailed data on meningitis patient care costs, and interviews using questionnaires with caregivers. Analysis of cost of illness calculations applied descriptive analysis methods. In this study, 11 inpatient pediatric meningitis patients were obtained. The average cost of illness for the treatment of inpatient pediatric meningitis patients was IDR 26,224,586±12,814,789, consisting of the average direct medical cost of IDR 23,831,813±12,222,885 (90.88%), the average direct non-medical cost of IDR 1,787,955±832,353 (6.82%), and the average indirect cost of IDR 604,818±337,389 (2.31%). Components of direct medical cost with the largest percentage were drugs and medical supplies (26.46%); while the largest direct non-medical cost were the expenditure of additional needs for the patient's family (72.18%). The indirect cost component came from the reduction of the patient's parents' income while the patient is hospitalized.
Trainees’ perceptions on learning environment based on the level of training in a pediatric training program in Indonesia Rina Triasih; Felisia Ang; Weda Kusuma; Gandes Retni Rahayu
Paediatrica Indonesiana Vol 62 No 4 (2022): July 2022
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi62.4.2022.249-55

Abstract

Background Learning environment in a pediatric specialist training program is complex and may influence trainees’ performance and achievement. We evaluated the trainees’ perception on learning environment and compared it between levels of the training. Methods We conducted a cross-sectional study to pediatric trainees in Pediatric Specialist Training Program at Universitas Gadjah Mada, Yogyakarta, Indonesia in May 2019. The data was collected online using the Postgraduate Hospital Educational Environment Measure (PHEEM) questionnaire, which was translated into Indonesian language and was self-completed by the trainees. Results All (136) trainees, which consisted of 35 (25.7%) junior, 44 (32.3%) middle, and 57 (42%) senior levels, completed the survey. The mean total score of PHEEM for all trainees was 108.10 (+ 17.03), which was not different between levels of the trainees. The mean scores for the role of autonomy, teaching, and social support were not different between levels of training either. Nevertheless, the junior scored less than the middle and senior trainees for questions on performing inappropriate tasks. Conclusion The learning environment of the pediatric training program in our setting was perceived good but improvement was required. There was no difference in perception of learning environment based on the level of the training.
Predictors of mortality in immunocompromised children with respiratory infections Lea Sutrisna; Rina Triasih; Ida Safitri Laksanawati
Paediatrica Indonesiana Vol 62 No 4 (2022): July 2022
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi62.4.2022.237-42

Abstract

Background Respiratory infection is a common morbidity and a major cause of mortality in immunocompromised children. Hence, identification of clinical parameters that predict mortality among immunocompromised children with respiratory infections is of importance to provide timely and appropriate intervention. Objective To determine predictors of mortality in immunocompromised children with respiratory infections. Methods We conducted a prospective cohort study of immunocompromised children aged 18 years or younger with respiratory tract infections who were admitted to Dr. Sardjito Hospital, Yogyakarta, Indonesia. All eligible children were prospectively followed up until hospital discharge. Clinical and laboratory parameters during the first 24 hours of hospitalization were collected. Results Of 79 eligible children, the overall mortality was 11 subjects (13.9%). Fever, tachycardia, tachypnea, cyanosis, leukopenia, neutropenia, thrombocytopenia, and pleural effusion were predictive factors of mortality in bivariate analysis (P<0.25). A logistic regression model showed that neutropenia (absolute neutrophil count <125/mm3) and tachycardia were the best independent predictors of mortality in immunocompromised children with respiratory infections. The children with tachycardia had 15.8 times higher probability of mortality (95%CI 5.0 to 4.4) and those with neutropenia had 8.24 times higher probability of mortality. Cyanosis and pleural effusion were also independent mortality predictors. Conclusion The risk of mortality is significantly increased in immunocompromised children with respiratory infection when tachycardia and neutropenia are also present.
Challenges and opportunities to improve tuberculosis care for Indonesian children Graham, Stephen M.; Dwihardiani, Bintari; Felisia, Felisia; Koesoemadinata, Raspati Cundarani; Putri, Nina Dwi; Alisjahbana, Bachti; Lestari, Trisasi; Yani, Finny Fitry; Triasih, Rina
Paediatrica Indonesiana Vol. 65 No. 1 (2025): January 2025
Publisher : Indonesian Pediatric Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14238/pi65.1.2025.1-9

Abstract

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Computer Aided Classification of X-ray Images from Pediatric Pneumonia Subjects Collected in Developing Countries Amrulloh, Yusuf Aziz; Prasetyo, Bayu Dwi; Khoiriyah, Ummatul; Gunarti, Hesti; Setyowireni, Dwikisworo; Triasih, Rina; Naning, Roni; Setyati, Amalia
ELKHA : Jurnal Teknik Elektro Vol. 15 No.2 October 2023
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v15i2.69981

Abstract

Pneumonia is a lower tract respiratory infection due to bacteria or viruses. It is a severe disease in the pediatric population. Pneumonia is the leading cause of mortality in children under five years worldwide. One of the problems with pneumonia is the diagnosis, as the symptoms of pneumonia may overlap with other diseases, such as asthma and bronchiolitis. In this work, we propose to develop a method for classifying pneumonia and non-pneumonia using X-ray images. We collected 60 X-ray images from Dr. Sardjito Hospital, Yogyakarta, Indonesia, and the dataset from Kaggle. We processed these images through pre-processing algorithms to enhance the image quality, segmentation, white pixel computation, and classification. The novelty of our method is using the ratio of the white pixels from edge detection using the Canny algorithm with the white pixels from segmentation for classifying pneumonia/non-pneumonia. In the Kaggle dataset, our proposed method achieved an accuracy of 86.7%, a sensitivity of 100%, and a specificity of 85%. The classification using the dataset from Dr. Sardjito Hospital yields sensitivity, specificity, and accuracy of 80%, 60%, and 66.7%, respectively. Despite the low performance in the results, we proved our novel feature, ratio of white pixels, can be used to classify pneumonia/non-pneumonia. We also identified that the local dataset is essential in the algorithm development as it has a different quality from the dataset from modern countries. Further, our simple method can be developed further to support pneumonia diagnosis in resource-limited settings where the advanced computing devices or cloud connection are not available.
Co-Authors Abd Rahman Achmad Surjono Amalia Setyati Amalia Setyati Ambarsari Latumahina Amrulloh, Yusuf Aziz Annang Giri Moelyo Atut Vebriasa Aulia Fakhrina Bachti Alisjahbana Bambang Tridjaja AAP, Bambang Tridjaja Desy Rusmawatiningtyas Djauhar Ismail Dwihardiani, Bintari Dwikisworo Setyowireni Ekawaty L Haksari Elisabeth S. Herini Emi Rusdiyati Felisia . Felisia Ang Finny Fitry Yani Gandes Retni Rahayu Gunarti, Hesti I Gde Doddy Kurnia Indrawan Ida Bagus Subanada Ida Safitri Laksanawati Ingenida Hadning Khoiriyah, Ummatul Koesoemadinata, Raspati C. Kristia Hermawan Lea Sutrisna Melda Melda Mohammad Hakimi Mohammad Hakimi Muhammad Riza Neti Nurani Nevita Nevita Nina Dwi Putri Nurnaningsih Nurnaningsih Prasetyo, Bayu Dwi Purwanta Purwanta Rachma Dewi Isnaini Putri Retno Sutomo Roni Naning Sholikah Sholikah Sofia Mubarika Haryana Sri Mulatsih Stefani Candra Firmanti Stephen M. Graham Stephen M. Graham, Stephen M. Titik Nuryastuti Tri Murti Andayani Tri Wibawa Trisasi Lestari, Trisasi Weda Kusuma Winda Paramitha Yayi Suryo Prabandari Yulia Fatma Wardani Yulinar Wusanani Zulaikha, Fatma