bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Tim dan Karakteristik Perawat Terhadap Penerapan Keselamatan Pasien di Rs Pertamina Bintang Amin
Authors: Azzahra Dhika , Aryawati Wayan , Samino Samino , Kundayani Tri , Febriani Christin Angelina 
Published: September 2024

Penerapan keselamatan pasien merupakan upaya asuhan pasien menjadi lebih aman. Perawat merupakan salah satu profesi yang berperan vital dalam menjalankan keselamatan pasien. Adanya insiden RSPBA Bandar Lampung menunjukkan bahwa capaian target pelaporan IKP belum terpenuhi. Tujuan dari penelitian ini untuk menganalisis faktor tim dan karakteristik perawat terhadap penerapan keselamatan pasien di RSPBA Bandar Lampung 2023. Jenis penelitian kuantitatif dengan rancangan cross sectional, populasi sebanyak 139 perawat fungsional dengan sampel total populasi (139 perawat). Analisis data univariat menggunakan deskriptif frekuensi, analisis bivariat menggunakan uji chi square dan analisis multivariat menggunakan uji regresi logistik berganda. Berdasarkan hasil uji chi-square di dapatkan hasil bahwa tidak ada hubungan antara jenis kelamin (p-value=0.385) dan usia (p-value=0.27) dengan penerapan keselamatan pasien. Terdapat hubungan antara variabel pendidikan (p-value=0.041; OR=0.3), kerja tim (p-value=0.000; OR=4.7) dan kepemimpinan (p-value=0.001; OR=17.44) dengan penerapan keselamatan pasien. Berdasarkan uji regresi logistik berganda di dapatkan faktor yang paling berpengaruh pada penerapan keselamatan pasien adalah kepemimpinan dengan nilai p-value 0.000 (<0.05) dan OR=4.9 yang berarti bahwa ada hubungan yang signifikan antara kepemimpinan dengan penerapan keselamatan pasien. Diharapkan dengan adanya penelitian ini dapat menjadi bahan masukan dan sebagai bahan evaluasi bagi pemimpin tim sift perawat dalam penerapan keselamatan pasien.
Pengetahuan Ibu tentang Stimulasi Berhubungan dengan Perkembangan Balita Usia 3-5 Tahun
Authors: Rahayu Mirna , Pratiwi Arantika Meidya , Subarto Claudia Banowati , Ayuningrum Lia Dian , Lestari Prasetya , Nurhayati Eka 
Published: September 2024

Perkembangan anak di Indonesia masih menjadi perhatian yang cukup serius. Berdasarkan data UNICEF, Indonesia menempati urutan ketiga dengan jumlah anak yang mengalami gangguan perkembangan terbanyak, setelah Thailand dan Argentina. Data Ikatan Dokter Anak Indonesia (IDAI) Tahun 2019 melaporkan angka keterlambatan anak di Indonesia sebesar 5-10%. Data Riskesdas 2018 didapatkan hasil bahwa 39,9% anak usia 36-59 bulan mengalami perkembangan yang meragukan. Salah satu hal yang menyebabkan gangguan perkembangan anak adalah stimulasi. Ibu sebagai individu terdekat anak, menjadi penentu keberhasilan pemberian stimulasi. Penelitian ini bertujuan untuk mengetahui hubungan tingkat pengetahuan ibu tentang stimulasi dengan perkembangan balita usia 3-5 tahun. Penelitian ini merupakan penelitian survey analitik dengan desain cross sectional. Populasi dalam penelitian ini adalah ibu yang mempunyai balita usia 3-5 tahun dan balita yang berusia 3-5 tahun di wilayah kerja puskesmas Gamping I Yogyakarta. Jumlah sampel sebanyak 103 responden diambil dengan cluster random sampling. Instrument yang digunakan kuesioner tingkat pengetahuan ibu dan KPSP. Hubungan kedua variabel dianalisis menggunakan uji kendall’s tau dengan hasil nilai p-value (0,000)<0,05 dengan nilai keeratan hubungan 0,460 yang artinya cukup. Hal ini menunjukkan terdapat hubungan antara tingkat pengetahuan ibu tentang stimulasi dengan perkembangan balita usia 3-5 tahun
PENATALAKSANAAN HOLISTIK ANAK DENGAN TONSILITIS KRONIS MELALUI PENDEKATAN KEDOKTERAN KELUARGA DI PUSKESMAS TANJUNG BINTANG
Authors: Maharani Ardila Putri , Kusuma Febriyani Dyah , Utama Winda Trijayanthi , Fadhilah Retno Suci 
Published: September 2024

Tonsilitis merupakan peradangan tonsil palatina yang merupakan bagian dari cincin Waldeyer. Penyebaran infeksi ini dapat terjadi melalui udara dan tangan. Tonsilitis telah menjadi salah satu penyebab penurunan prestasi belajar dan ketidakhadiran anak di sekolah. Penderita tonsilitis juga merupakan pasien yang sering datang pada praktek dokter ahli bagian telinga hidung tenggorok-bedah kepala dan leher (THT-KL), dokter anak, maupun tempat pelayanan kesehatan lainnya.. Studi ini merupakan laporan kasus. Data primer diperoleh melalui anamnesis (autoanamnesis dan alloanamnesis dari keluarga dan pasien), pemeriksaan fisik, dan kunjungan ke rumah. Penilaian dilakukan secara kualitiatif dan kuantitatif. Pasien An. C, usia 12 tahun dengan diagnosis tonsilitis kronik. Aspek resiko internal berupa usia anak, pengetahuan pasien, pola hidup bersih dan sehat, higiene gigi dan mulut, serta pola makan yang kurang baik. Aspek resiko eksternal yang mempengaruhi kondisi pasien berupa kurangnya pengawasan keluarga tentang konsumsi makanan pasien, kurang nya pengetahuan mengenai penyakit yang diderita serta lambatnya pengambilan keputusan untuk tindakan lanjutan. Selanjutnya penatalaksanaan secara holistik terhadap pasien dan keluarga melalui media intervensi poster. Penatalaksaan pasien tonsilitis kronik secara holistik dan komprehensif agar dapat ditatalaksana dengan tepat dan merubah perilaku.
PENGARUH SISTEM ZONASI TERHADAP PRESTASI BELAJAR PESERTA DIDIK KELAS VII DI SMP NEGERI 9 PALU
Authors: Sabri Triani Wahyuni , Listiqowati Ika , Putra Exsa 
Published: September 2024

Penelitian ini bertujuan untuk menganalisis pengaruh sistem zonasi terhadap prestasi belajar siswa kelas VII di SMPN 9 Palu. Metode yang digunakan dalam penelitian ini adalah deskriptif dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah peserta didik kelas VII SMP Negeri 9 Palu yang berjumlah 231 siswa kemudian diambil 25%. Populasi peserta didik yang dijadikan sampel sebanyak 57. Pengumpulan data dalam penelitian ini menggunakan teknik observasi, wawancara, angket dan dokumentasi. Instrumen penelitian diuji menggunkaan uji validitas dan uji reliabilitas Analisis data menggunakan statistik deskriptif persentase, statistik korelasi, statistik chi kuadrat, statistik uji linearitas dan uji homogenitas. Terbukti hasil perhitungan prestasi belajar siswa pada tabel konversi ditemukan nilai rata-rata prestasi belajar siswa sebesar 56,86 yang berada dalam kategori sedang. Hasil perhitungan analisis pada uji normalitas menggunakan statistik chi kuadrat diperoleh chi kuadrat hitung = 13.97 dengan chi kuadrat tabel = 11.070, maka chi kuadrat hitung < chi kuadrat tabel. Hasil analisis pada uji linearitas menggunakan statistik Fobs di peroleh = 0,596 dengan Ftabel = 5,05 maka Fobs ≤ Ftabel. Hasil analisis pada uji homogenitas X2obs = 0,347 dengan X2 tabel =3,841 maka X2obs ≤ X2tabel. Uji-t diperoleh t-hitung = 12.681 dengan t-tabel = 0.632. Karena nilai t-hitung > t-tabel maka dapat disimpulkan bahwa korelasi tersebut signifikan atau hipotesis kerja (Ha) diterima.
Análisis de dispersión de la contaminación en cuerpos de agua por lixiviados, provenientes del botadero de basura Curgua, Guaranda - Ecuador
Authors: Torres Murillo Katherin Jhomayra , Gaibor Chávez Juan 
Published: September 2024

Introducción: la disposición final de residuos sólidos municipales constituye una problemática ambiental y sanitaria actual. Objetivo: el objetivo de la investigación fue analizar la dispersión de la contaminación en cuerpos de agua, por los lixiviados provenientes del botadero de basura denominado Curgua, Cantón Guaranda – Ecuador. Metodología: las muestras de agua se recolectaron en diferentes puntos: al ingreso al cuerpo de agua dulce localizado a 60 m de la fuente que constituye el punto 2; luego a 500 m, 1.5 km, 2 km y 3 km. El análisis se realizó por triplicado durante 3 semanas. Se realizaron análisis físico - químicos de acuerdo con la metodología de la empresa HACH. Se determinó la dinámica de la concentración de los principales compuestos de acuerdo con los puntos de muestreo. Resultados: se presenta los valores de los principales estadísticos de los parámetros de calidad analizados, el promedio, desviación estándar, coeficiente de variación. Se encontró que a medida que aumenta la distancia del punto de origen los valores de los parámetros disminuyen parcialmente, pero aún persisten, lo que provoca la constante presencia de contaminación en el cuerpo de agua dulce. Conclusiones: existe una correlación entre algunos parámetros, esto se debería por el tipo y composición físico química y biológica de los residuos que se generan. Este hecho incrementa el riesgo de mantener e incluso aumentar la contaminación en épocas en las que se puede influir directamente en la generación de residuos sólidos. Área de estudio general: Ciencias del Ambiente. Área de estudio específica: Manejo y disposición de residuos. Tipo de estudio: Artículo original
The long-term prognostic implications of free triiodothyronine to free thyroxine ratio in patients with obstructive sleep apnea and acute coronary syndrome
Authors: Zhou Yun , He Qian , Ai Hui , Zhao Xuedong , Chen Xiuhuan , Li Siyi , Zhang Zekun , Fan Jingyao , Gong Wei , Nie Shaoping 
Published: September 2024

ObjectiveObstructive sleep apnea (OSA) and thyroid dysfunction frequently overlap clinically and are risk factors for cardiovascular disease. The free triiodothyronine to free thyroxine (FT3/FT4) ratio as a novel biomarker of cardiovascular disease prognosis, but the impact of the FT3/FT4 ratio on the prognosis of OSA in patients with acute coronary syndromes (ACS) remains uncertain.MethodsIn this prospective cohort study, 2160 patients with ACS were recruited and underwent portable sleep monitoring at Beijing Anzhen Hospital from June 2015 to January 2020. OSA was diagnosed when apnea-hypopnea index of ≥15 events/h. Patients were further divided into tertiles according to FT3/FT4 ratio. All patients had scheduled follow-up visits at 1, 3, 6, 9 and 12 months after discharge, with subsequent outpatient visits or telephone follow-up visits every 6 months. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), including cardiovascular death, myocardial infarction (MI), stroke, ischemia-driven revascularization, or hospitalization for unstable angina or heart failure.ResultsAmong 1,547 euthyroid patients enrolled (mean age, 56.0 ± 10.5 years), 812 patients (52.5%) had OSA. The FT3/FT4 ratio between OSA and non-OSA patients was not significantly different. During 2.8 (1.4, 3.5) years follow up, the risk of MACCE increased with the decreasing FT3/FT4 tertiles in patients with OSA (tertile3 as reference, tertile2: hazard ratio (HR) 1.26, 95% CI: 0.85-1.86, P = 0.255; tertile1: 1.60, 95% CI 1.11-2.32; P = 0.013). After adjustment for confounders, the lowest FT3/FT4 tertile was still independently associated with an increased risk of MACCE (adjusted HR 1.66, 95% CI 1.11-2.50, P = 0.015).ConclusionLower FT3/FT4 ratio associated with poor prognosis in patients with ACS and OSA.
Gut microbiota and autoimmune thyroid disease: a bidirectional Mendelian randomization study and mediation analysis
Authors: Fang Yiqiao , Zhang Xinyue , Huang Rui , Liu Jiaye , Li Zhihui 
Published: September 2024

BackgroundThe gut microbiota (GM) plays a pivotal role in influencing various health outcomes, including immune-mediated conditions, but its potential association with autoimmune thyroid disease (AITD) remains underexplored. We aimed to investigate the potentially pathogenic or protective causal impacts of specific GM on two types of AITD, namely Graves’ disease and Hashimoto’s thyroiditis, and analyzed the mediating effect of 731 immune cell phenotypes.MethodsLeveraging pooled genome-wide association study (GWAS) data of 211 gut microbiota traits, 731 immune cell phenotypes, and two types of AITD (Hashimoto’s thyroiditis and Graves’ disease), we performed bidirectional Mendelian randomization (MR) analyses to explore the causal relationships between the GM and AITD. Subsequently, we employed a multivariable MR analysis to discover potential mediating immune cell traits. Additionally, sensitivity analyses were utilized to ensure the reliability of the outcomes.ResultsOur analysis revealed that a total of 7 GM taxa were positively associated with AITD, and other 14 taxa showed a negative correlation with AITD. Furthermore, we identified several immune cell traits that mediated the effects of GM on AITD. Most notably, Actinobacteria (p) presented protective effects on Hashimoto’s thyroiditis via CCR2 on myeloid Dendritic Cell (5.0%), and Bifidobacterium (g) showed facilitating effects on Graves’ disease through CD39+ CD4+ T cell %CD4+ T cell (5.0%) and CD14 on CD33+ HLA DR+ CD14dim (12.2%).ConclusionThe current MR study provides evidence supporting the causal relationships between several specific GM taxa and AITD, and further identified potential mediating immunophenotypes.
Study of a precise treatment protocol for patients with consciousness disorders based on the brain network analysis of functional magnetic resonance imaging
Authors: Wang Pingzhi , Xiang Jie , Niu Yan , Wei Jing , Lan Caiqin , Li Xiangping , Xu Liying , Yin Yajie , Wang Hongxiong , Zhang Tao , Yang Lei , Xing Hao , Fan Shasha , Niu Qing , Kang Huicong , Liang Ying 
Published: September 2024

ObjectiveHow to conduct objective and accurate individualized assessments of patients with disorders of consciousness (DOC) and carry out precision rehabilitation treatment technology is a major rehabilitation problem that needs to be solved urgently.MethodsIn this study, a multi-layer brain network was constructed based on functional magnetic resonance imaging (fMRI) to analyze the structural and functional brain networks of patients with DOC at different levels and to find regulatory targets (imaging markers) with recovery potential for DOC. Then repeated transcranial magnetic stimulation (rTMS) was performed in DOC patients to clinically validate.ResultsThe brain network connectivity of DOC patients with different consciousness states is different, and the most obvious brain regions appeared in the olfactory cortex and precuneus. rTMS stimulation could effectively improve the consciousness level of DOC patients and stimulate the occipital lobe (specific regions found in this study) and the dorsolateral prefrontal cortex (DLPFC), and both parts had a good consciousness recovery effect.ConclusionIn clinical work, personalized stimulation regimen treatment combined with the brain network characteristics of DOC patients can improve the treatment effect.
Exploring the impact of network depth on 3D U-Net-based dose prediction for cervical cancer radiotherapy
Authors: Wang Mingqing , Pan Yuxi , Zhang Xile , Yang Ruijie 
Published: September 2024

PurposeThe 3D U-Net deep neural network structure is widely employed for dose prediction in radiotherapy. However, the attention to the network depth and its impact on the accuracy and robustness of dose prediction remains inadequate.Methods92 cervical cancer patients who underwent Volumetric Modulated Arc Therapy (VMAT) are geometrically augmented to investigate the effects of network depth on dose prediction by training and testing three different 3D U-Net structures with depths of 3, 4, and 5.ResultsFor planning target volume (PTV), the differences between predicted and true values of D98, D99, and Homogeneity were statistically 1.00 ± 0.23, 0.32 ± 0.72, and -0.02 ± 0.02 for the model with a depth of 5, respectively. Compared to the other two models, these parameters were also better. For most of the organs at risk, the mean and maximum differences between the predicted values and the true values for the model with a depth of 5 were better than for the other two models.ConclusionsThe results reveal that the network model with a depth of 5 exhibits superior performance, albeit at the expense of the longest training time and maximum computational memory in the three models. A small server with two NVIDIA GeForce RTX 3090 GPUs with 24 G of memory was employed for this training. For the 3D U-Net model with a depth of more than 5 cannot be supported due to insufficient training memory, the 3D U-Net neural network with a depth of 5 is the commonly used and optimal choice for small servers.
Highly active antiretroviral therapy adherence among HIV-POSITIVE women in Southern Ethiopia
Authors: Demissie Alemayehu Abebe , Rensburg Elsie Janse van 
Published: September 2024

BackgroundAdherence to Highly Active Antiretroviral Therapy (HAART) medication is the major predictor of HIV/AIDS treatment success. Poor adherence to HAART creates the risk of transmitting HIV, deteriorating health conditions, treatment failure, increased occurrences of drug-resistant HIV, morbidity and mortality. The objective of the study was to explore and describe factors influencing HAART adherence among HIV-positive women in Southern Ethiopia.MethodsA hospital-based descriptive cross-sectional survey was used among 220 randomly selected respondents. Data was collected with a structured interview guide after each respondent had given consent to take part in the study. The collected data was entered into and analyzed by using the Statistical Package for Social Sciences (SPSS) software program version 27.ResultsThe level of self-reported adherence (measured by dose) to HAART in the past 30 days was found to be 82.7%. In multivariate analysis, the divorced/separated HIV-positive women had poor adherence to their HAART medication as compared to those who were married [AOR: 2.94, 95% CI: (1.02–8.44)]. Respondents who used reminders in their medication were 75% less likely to be poorly adherent to their HAART medication than those who did not use reminders [AOR: 0.25, 95% CI: (0.06–0.97)]. Those who self-reported depression, perceived stigma, and low perceived susceptibility had poor adherence to their HAART than those who did not report depression, perceived stigma, and low perceived susceptibility [AOR:2.34, 95% CI: (1.01–5.42)], [AOR:2.37, 95% CI: (1.06–5.34)], and [AOR: 4.1, 95% CI: (1.53–11.1)] respectively. HIV-positive women who self-reported low perceived severity were poorly adherent to HAART than those who self-reported high perceived severity [AOR: 2.92, 95% CI: (1.14–7.47)].ConclusionFactors including being divorced/separated, not using reminders, depression, perceived stigma, perceived susceptibility, and perceived severity negatively impact HIV-positive women’s adherence to HAART.
Perceptions of ChatGPT in healthcare: usefulness, trust, and risk
Authors: Chen Su-Yen , Kuo H. Y. , Chang Shu-Hao 
Published: September 2024

IntroductionThis study explores the perceptions of ChatGPT in healthcare settings in Taiwan, focusing on its usefulness, trust, and associated risks. As AI technologies like ChatGPT increasingly influence various sectors, their potential in public health education, promotion, medical education, and clinical practice is significant but not without challenges. The study aims to assess how individuals with and without healthcare-related education perceive and adopt ChatGPT, contributing to a deeper understanding of AI’s role in enhancing public health outcomes.MethodsAn online survey was conducted among 659 university and graduate students, all of whom had prior experience using ChatGPT. The survey measured perceptions of ChatGPT’s ease of use, novelty, usefulness, trust, and risk, particularly within clinical practice, medical education, and research settings. Multiple linear regression models were used to analyze how these factors influence perception in healthcare applications, comparing responses between healthcare majors and non-healthcare majors.ResultsThe study revealed that both healthcare and non-healthcare majors find ChatGPT more useful in medical education and research than in clinical practice. Regression analysis revealed that for healthcare majors, general trust is crucial for ChatGPT’s adoption in clinical practice and influences its use in medical education and research. For non-healthcare majors, novelty, perceived general usefulness, and trust are key predictors. Interestingly, while healthcare majors were cautious about ease of use, fearing it might increase risk, non-healthcare majors associated increased complexity with greater trust.ConclusionThis study highlights the varying expectations between healthcare and non-healthcare majors regarding ChatGPT’s role in healthcare. The findings suggest the need for AI applications to be tailored to address specific user needs, particularly in clinical practice, where trust and reliability are paramount. Additionally, the potential of AI tools like ChatGPT to contribute to public health education and promotion is significant, as these technologies can enhance health literacy and encourage behavior change. These insights can inform future healthcare practices and policies by guiding the thoughtful and effective integration of AI tools like ChatGPT, ensuring they complement clinical judgment, enhance educational outcomes, support research integrity, and ultimately contribute to improved public health outcomes.
Comparing emotions in ChatGPT answers and human answers to the coding questions on Stack Overflow
Authors: Fatahi Somayeh , Vassileva Julita , Roy Chanchal K. 
Published: September 2024

IntroductionRecent advances in generative Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the development of Large Language Models (LLMs) and AI-powered chatbots like ChatGPT, which have numerous practical applications. Notably, these models assist programmers with coding queries, debugging, solution suggestions, and providing guidance on software development tasks. Despite known issues with the accuracy of ChatGPT’s responses, its comprehensive and articulate language continues to attract frequent use. This indicates potential for ChatGPT to support educators and serve as a virtual tutor for students.MethodsTo explore this potential, we conducted a comprehensive analysis comparing the emotional content in responses from ChatGPT and human answers to 2000 questions sourced from Stack Overflow (SO). The emotional aspects of the answers were examined to understand how the emotional tone of AI responses compares to that of human responses.ResultsOur analysis revealed that ChatGPT’s answers are generally more positive compared to human responses. In contrast, human answers often exhibit emotions such as anger and disgust. Significant differences were observed in emotional expressions between ChatGPT and human responses, particularly in the emotions of anger, disgust, and joy. Human responses displayed a broader emotional spectrum compared to ChatGPT, suggesting greater emotional variability among humans.DiscussionThe findings highlight a distinct emotional divergence between ChatGPT and human responses, with ChatGPT exhibiting a more uniformly positive tone and humans displaying a wider range of emotions. This variance underscores the need for further research into the role of emotional content in AI and human interactions, particularly in educational contexts where emotional nuances can impact learning and communication.