Gatot Soebroto Army Hospital (Indonesian: Rumah Sakit Pusat Angkatan Darat Gatot Soebroto, Gatot Soebroto Army Central Hospital; abbreviated as RSPAD Gatot Soebroto) is a hospital in Jakarta, Indonesia. The name of the hospital is derived from Gatot Soebroto, a National Hero of Indonesia. Established in 1819, the hospital is the main hospital for the Indonesian Army. The hospital also provides limited services for civilians.
Perkembangan teknologi digital yang semakin pesat, khususnya dalam bidang media sosial, telah membawa perubahan besar dalam kehidupan sehari-hari remaja. Salah satu platform media sosial yang sangat populer di kalangan remaja saat ini adalah TikTok. Aplikasi ini tidak hanya digunakan sebagai sarana hiburan, tetapi juga sebagai media komunikasi, ekspresi diri, dan pencarian informasi. Intensitas penggunaan TikTok yang tinggi berpotensi memberikan dampak terhadap kondisi kesehatan mental remaja, terutama yang berkaitan dengan tingkat kecemasan. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat kecemasan remaja dengan tingkat penggunaan media sosial TikTok pada siswa kelas XI di SMKN 32 Jakarta. Penelitian ini menggunakan metode kuantitatif dengan desain cross-sectional, sehingga pengukuran variabel dilakukan pada satu waktu tertentu. Sampel penelitian berjumlah 70 siswa kelas XI yang dipilih menggunakan teknik stratified random sampling, kemudian disesuaikan dengan kriteria inklusi dan eksklusi yang telah ditetapkan. Instrumen penelitian yang digunakan adalah kuesioner berbasis g-form untuk mengukur tingkat kecemasan dan intensitas penggunaan TikTok. Analisis data dilakukan menggunakan uji korelasi Spearman untuk mengetahui kekuatan dan signifikansi hubungan antar variabel. Hasil penelitian menunjukkan adanya hubungan yang signifikan antara penggunaan media sosial TikTok dan tingkat kecemasan remaja, dengan nilai signifikansi sebesar 0,040 (p < 0,05). Sebanyak 58,6% responden mengalami tingkat kecemasan ringan, sementara 97,1% responden menggunakan TikTok pada tingkat moderat. Temuan ini menunjukkan bahwa penggunaan TikTok berpengaruh terhadap tingkat kecemasan remaja, namun pengaruh tersebut tidak selalu bersifat negatif, tergantung pada intensitas dan cara penggunaannya.
Chronic kidney disease (CKD) is a progressive condition with an increasing prevalence. Patients with CKD undergoing hemodialysis face multidimensional challenges, including physical and psychological symptoms, family support, health-service-related factors, nursing problems, and difficulties adhering to treatment. This study examined nursing problems and factors associated with treatment adherence among patients with CKD undergoing hemodialysis at Jakarta Islamic Hospital Cempaka Putih. This quantitative cross-sectional study included 54 respondents recruited through purposive sampling according to predefined inclusion and exclusion criteria. Treatment adherence was assessed using the End-Stage Renal Disease Adherence Questionnaire (ESRD-AQ). Physical, psychological, family support, and health service factors were assessed using questionnaires, whereas nursing problems were identified through medical-record review based on the Indonesian Nursing Diagnosis Standards (SDKI). Descriptive and bivariate analyses were performed using Spearman’s correlation test. The most common co-occurring nursing diagnoses were excess fluid volume, anxiety, and therapy nonadherence, identified in 25 respondents (46.3%). Physical factors were negatively associated with treatment adherence (r = −.323, p = .017), whereas health service factors were positively associated with treatment adherence (r = .393, p = .003). Psychological factors (r = −.117, p = .400) and family support (r = −.164, p = .236) were not significantly associated with treatment adherence. Among the examined variables, health service factors showed the strongest correlation with treatment adherence. Improving the quality of health services and addressing patients’ physical conditions may support treatment adherence among patients with CKD undergoing hemodialysis. Longitudinal studies are needed to clarify causal relationships.
Extraskeletal myxoid chondrosarcoma (EMC), a very rare subtype of soft tissue sarcoma (STS), distinguished by its histopathological profile, has unique clinical prognosis of potential for late local recurrences and distant metastases due to its molecular alterations. The infrequent occurrence of EMC, coupled with its radiological characteristics that often overlap with those of other myxoid-rich neoplasms, may impose considerable diagnostic difficulties for clinicians. A 43-year-old male who presented with a progressively enlarging mass in the distal right thigh and knee region since six-month prior. Initial imaging studies, including computed tomography (CT) and non-contrast magnetic resonance imaging (MRI), suggested a diagnosis of liposarcoma. However, further evaluation including a comprehensive contrast-enhanced MRI revealed a large multilobulated, well-defined soft tissue mass at the distal anteromedial femur. The lesion demonstrated isointense to hypointense signal on T1-weighted sequence and hyperintensity on T2-weighted/STIR sequences reflecting myxoid matrix, and prominent peripheral and septal enhancement post-gadolinium administration. The mass also exhibited local bone erosion and infiltration into surrounding musculature and the knee joint. A core needle biopsy followed by immunohistochemical profiling was consistent with a diagnosis of EMC. Following multidisciplinary consultation, the patient underwent successful limb salvage surgery, involving wide excision of the tumor and reconstruction using prosthesis. This case underscores the critical role of advanced imaging techniques in characterizing soft tissue masses and suggesting EMC in the differential diagnosis prior to histopathological confirmation. Moreover, multidisciplinary approach for the effective management of this rare sarcoma, including complex surgical reconstruction to preserve limb function is essential.
Intracranial hemorrhage (ICH) represents a challenging neurological emergency, characterized by bleeding within the cranial vault. Timely intervention in this case is directly linked to reduced mortality and prevention of permanent sequelae. The interpretation of radiological examination for ICH is full of challenges, including anatomical variations, imaging artifacts, and small hemorrhages. Artificial Intelligence (AI), particularly through the application of deep learning (DL) models such as Convolutional Neural Networks (CNNs), has emerged as a transformative adjunctive technology for radiological interpretation. This study reviews the growing field of AI for ICH detection on non-contrast head CT scans. A literature search was conducted in major databases (PubMed, ScienceDirect, SpringerLink, Google Scholar) for English articles from 2016 - 2026 using keywords related to artificial intelligence, deep learning, intracranial hemorrhage, and its variations. The analysis synthesizes performance metrics reported in recent studies, such as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). This study explores the potential of AI in quantifying hemorrhage volume, precise localization, classification of hemorrhage subtypes, and integration into clinical workflows for triage and decision support. Challenges and considerations that accompany the clinical translation of AI are also defined, including the need for external validation, the nature of complex algorithms, ethical and legal standings, data security, and integration into existing radiology information systems. The integration of AI into ICH care signifies a paradigm shift from standardized treatment protocols toward dynamic, precision medicine. This review explores the role of AI in augmenting the diagnosis and management of intracranial hemorrhage, emphasizing its role as a powerful tool to enhance the clinical acumen of radiologists.
Penyakit uronefrologi, meliputi Penyakit Ginjal Kronik (PGK), Infeksi Saluran Kemih (ISK), dan batu saluran kemih, merupakan masalah kesehatan masyarakat yang signifikan di Indonesia. Berdasarkan data Kementerian Kesehatan tahun 2023, pembiayaan PGK melalui Jaminan Kesehatan Nasional (JKN) mencapai Rp2,92 triliun dengan lebih dari 1,5 juta kasus tertangani setiap tahunnya. Deteksi dini dan edukasi kesehatan kepada masyarakat merupakan strategi kunci dalam mencegah progresi penyakit uronefrologi. Pendekatan Echo-Health adaptasi dari model Extension for Community Healthcare Outcomes (ECHO) merupakan model edukasi berbasis bukti dan pemberdayaan masyarakat yang bertujuan meningkatkan kompetensi tenaga kesehatan serta memperluas akses layanan kesehatan kepada masyarakat. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mewujudkan sinergi perawat dan bidan dalam pelaksanaan edukasi dan deteksi dini penyakit uronefrologi di wilayah binaan Puskesmas Kebon Kosong, Jakarta, dengan menggunakan pendekatan Echo-Health. Kegiatan dilaksanakan pada 17 April 2026 dengan melibatkan 11 dosen dan mahasiswa STIKes RSPAD Gatot Soebroto. Metode kegiatan mencakup penyuluhan kesehatan, skrining dini (tekanan darah, gula darah, asam urat, urinalisis), dan konsultasi individual. Hasil kegiatan menunjukkan peningkatan pengetahuan masyarakat yang signifikan mengenai pencegahan penyakit uronefrologi, serta teridentifikasinya faktor risiko pada sejumlah peserta. Kegiatan ini membuktikan efektivitas kolaborasi interprofesional antara perawat dan bidan dalam program kesehatan uronefrologi berbasis masyarakat dengan pendekatan Echo-Health.
