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hilma paramita
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Medicine & Pharmacology

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KORELASI ANTARA DUKUNGAN KELUARGA DENGAN TINGKAT DEPRESI PASIEN HUMAN IMMUNODEFFICIENCY VIRUS (HIV) POSITIF RUMAH SAKIT X DI KABUPATEN BANYUMAS Luqlun Salisa Sugiarto; Hilma Paramita; Diyah Woro Dwi Lestari
Medical and Health Journal Vol 1 No 1 (2021): August
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.177 KB) | DOI: 10.20884/1.mhj.2021.1.1.4677

Abstract

HIV is a chronic infectious disease that can affect mental and psychological patients. This disease causes psychiatric problems, for example depression. Depression can affect the quality of life and motivation of patients. To overcome this, good social support from the patient's family is needed. The purposes of this study were to determine the correlation between family support and depression levels in positive HIV patients at “X” Hospital in Banyumas Regency. This study used observational analytic with cross sectional approach. Primary data were collected from questionnaires and medical records from 23 positive HIV patients at “X” Hospital in Banyumas Regency who met the inclusion criteria. The sample datas were collected using consecutive sampling technique by taking the L-MMPI questionnaire data, the BDI-II questionnaire for depression levels, and the Friedman family support questionnaire. Afterwards, hypothesis analysis was done using the Spearman test. Data showed that most respondents had good family support and 1/3 respondents did not experience depression or normal. The correlation between family support and depression level was processed using the Spearman rho correlation test with a significance level of p ≤ 0.05. The test results (p = 0.002) showed that there was a significant correlation between family support and the depression level of positive HIV patients at “X” Hospital in Banyumas Regency. From this study can be concluded that the respondents with good family support did not experience symptoms of depression or normal. Family support is needed to prevent depression in positive HIV patient.
HUBUNGAN LONG COVID-19 DENGAN KEJADIAN KECEMASAN DI BANYUMAS Fauziyyah Shofura Yasmin; Hilma Paramita; Nurlaela Nurlaela
Medical and Health Journal Vol 1 No 2 (2022): February
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (171.026 KB) | DOI: 10.20884/1.mhj.2022.1.2.5657

Abstract

Kejadian kecemasan banyak dilaporkan menetap atau bahkan baru muncul beberapa bulan setelah pasien terkonfimasi COVID-19. Ada 22,7% gejala psikososial didapatkan pada Long COVID-19, dan sebanyak 6,5% mengalami kecemasan. Penelitian lebih jauh diperlukan agar masyarakat maupun tenaga kesehatan lebih memperhatikan dan mencegah kejadian kecemasan yang lebih dini terhadap penderita Long COVID-19. Penelitian ini bertujuan untuk mengetahui hubungan Long COVID-19 dengan kejadian kecemasan di Banyumas. Metode yang digunakan yaitu penelitian analitik observasional dengan rancangan cross sectional pada masyarakat umum yang telah melewati masa akut COVID-19 dan berdomisili di Banyumas dengan teknik purposive sampling. Pengambilan data tingkat kecemasan menggunakan kuesioner hamilton rating scale for anxiety (HRS-A) dan Long COVID-19 melalui lembar identitas pasien. Analisis hipotesis menggunakan uji statistik alternatif yaitu uji Kolmogorov-Smirnov. Hasil penelitian pada 60 responden yang sudah melewati masa akut COVID-19 dengan uji Kolmogorov-Smirnov didapatkan nilai p = 0,032 dengan 33,3% tidak mengalami kecemasan dan 66,7% mengalami kecemasan. Dengan tingkat kecemasan ringan (18,4%), kecemasan sedang (23,3%), kecemasan berat (15%), dan kecemasan berat sekali (10%). Berdasarkan hasil analisis data didapatkan hubungan yang bermakna antara Long COVID-19 dengan kejadian kecemasan. Dari penelitian ini dapat disimpulkan bahwa terdapat hubungan antara Long COVID-19 dengan kejadian kecemasan di Banyumas.
Co-Authors Diyah Woro Dwi Lestari Fauziyyah Shofura Yasmin Luqlun Salisa Sugiarto Nurlaela Nurlaela Nurlaela Nurlaela