Fiodora, Elvina Estrelita and Ns. Ikhda Ulya, S.Kep., M.Kep (2024) Analisis Kesesuaian Data Untuk Mengangkat Diagnosis Keperawatan Utama Pada Kasus Stroke Di Instalasi Gawat Darurat (Igd) Rsud Bangil. Sarjana thesis, Universitas Brawijaya.
Abstract
Data dari Riskesdas tahun 2018 didapatkan prevalensi penyakit stroke di Indonesia sebanyak 10,9 per 1000 penduduk. Seiring dengan meningkatnya jumlah penderita stroke, sehingga perlu pengkajian berfokus pada neuorologi secara komprehensif dan bersifat darurat dapat mengalami dampak buruk pada kualitas hidup, gangguan kognitif, sesak nafas, dan kematian (Regenhardt et al., 2019). Menurut hasil penelitian yang dilakukan oleh Esty Purnama Sari (2020) menyatakan Ketidakmampuan dalam menganalisis data karena tidak mengakomodir semua data keluhan pasien sehingga diagnosis keperawatan yang dirumuskan tidak akurat. Populasi pada penelitian ini adalah seluruh pasien dengan gejala stroke di Instalasi Gawat Darurat RSUD Bangil selama periode pengambilan data. Sampel penelitian ini menggunakan non probability sampling yaitu convenienc. Penelitian ini menganilisis kesesuaian data untuk mengangkat diagnosis keperawatan utama pada kasus stroke di UGD RSUD Bangil. Temuan menunjukkan di IGD RSUD Bangil risiko perfusi serebral tidak efektif beresiko diangkat sebagai prioritas pertama dibuktikan dengan jumlahnya menjadi diagnosis tebanyak yang diangkat. Peneliti selanjutnya diharapkan dapat menambah deskripsi dalam bentuk intervensi keperawatan pada pasien di Cerebrovascular Accident CVA di Instalasi Gawat Darurat.
English Abstract
Data from Riskesdas in 2018 found that the prevalence of stroke in Indonesia was 10.9 per 1000 population. As the number of stroke sufferers increases, there is a need for a comprehensive and emergency assessment focusing on neurology, which can have a negative impact on quality of life, cognitive impairment, shortness of breath and death (Regenhardt et al., 2019). According to the results of research conducted by Esty Purnama Sari (2020), the inability to analyze data was due to not accommodating all patient complaint data so that the nursing diagnosis formulated was inaccurate. The population in this study were all patients with stroke symptoms in the Bangil Regional Hospital Emergency Room during the data collection period. This research sample uses non-probability sampling, namely convenience. This study analyzes the suitability of the data to raise the main nursing diagnosis in stroke cases in the ER at Bangil Regional Hospital. The findings showed that in the emergency room at Bangil Regional Hospital, the risk of ineffective cerebral perfusion was raised as the first priority, proven by the number of diagnoses raised the most. Future researchers are expected to be able to add descriptions in the form of nursing interventions for patients with Cerebrovascular Accident CVA in the Emergency Department
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 0524160096 |
| Uncontrolled Keywords: | Stroke, Gawat Darurat, Diagnosa Keperawatan-Stroke, Emergency, Nursing Diagnosis |
| Divisions: | Fakultas Ilmu Kesehatan > Profesi Keperawatan |
| Depositing User: | Sugeng Moelyono |
| Date Deposited: | 05 Nov 2024 07:59 |
| Last Modified: | 05 Nov 2024 07:59 |
| URI: | http://repository.ub.ac.id/id/eprint/228130 |
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Text (DALAM MASA EMBARGO)
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