Jurnal Keperawatan https://journal2.stikeskendal.ac.id/index.php/keperawatan <p><img 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" />Jurnal keperawatan (JK) merupakan bagian integral dari jurnal yang diterbitkan oleh LPPM STIKES Kendal. JK merupakan sarana pengembangan dan publikasi karya ilmiah bagi para peneliti, dosen dan praktisi keperawatan. JK menerbitkan artikel-artikel yang merupakan hasil penelitian, studi kasus, hasil studi literatur, konsep keilmuan, pengetahuan dan teknologi yang inovatif dan terbaharu dalam lingkup keperawatan yang berfokus pada (10) pilar keperawatan, : meliputi<em>keperawatan anak, keperawatan maternitas, keperawatan medikal-bedah, keperawatan kritis, keperawatan gawat darurat, keperawatan jiwa, keperawatan komunitas, keperawatan gerontik, keperawatan keluarga, dan kepemimpinan dan manajemen keperawatan.</em> JK diterbitkan pertama kali dengan ISSN versi cetak pada Volume 1 No 1 Maret 2009 dan ISSN versi online pada Volume 9 No 1 Maret 2017. JK awalnya terbit 2 kali dalam setahun yaitu bulan terbitan Maret dan September. JK mulai Desember 2018 terbit 4x dalam setahun, yaitu bulan terbitan Maret, Juni, September, dan Desember. Artikel yang terbit di JK telah melalui proses telaah sejawat yang memiliki keahlian yang relevan. </p> en-US livana.ph@gmail.com (Livana PH) donayanuar@stikeskendal.ac.id (Dona) Thu, 14 Mar 2024 20:15:46 +0000 OJS 3.3.0.10 http://blogs.law.harvard.edu/tech/rss 60 Peningkatan Fungsi Paru dan Kualitas Hidup pada Pasien Pasca Tuberculosis melalui Rehabilitasi Paru: Systematic Review https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2054 <p>Penyakit Tuberculosis mengakibatkan kerusakan pada parenkim serta anatomi paru sehingga dapat menurunkan fungsi paru dan kualitas hidup penderitanya. Dari phenomena tersebut intervensi rehabilitasi paru dibutuhkan. Tujuan penelitian ini adalah untuk mengetahui intervensi rehabilitasi paru terhadap peningkatan fungsi paru dan kualitas hidup pada pasien pasca tuberculosis. Studi ini menggunakan pendekatan Systematic review berdasarkan tahapan pada Preferred Reporting Items for Systematic Review and Meta-Analisis (PRISMA). Artikel dikumpulkan dari lima data base jurnal yaitu PubMed, ProQuest, Cochrane, Sage, dan Science Direct yang berjumlah 2.481, kemudian artikel diseleksi sesuai kriteria inklusi dan eksklusi serta dilakukan penilaian kritis menggunakan Instrumen JBI terhadap artikel yang terpilih. Hasil review artikel dari tahun 2018-2023, didapatkan enam artikel yang terpilih, empat artikel melaporkan ada perbaikan fungsi paru setelah menjalani rehabilitasi paru, sedangkan untuk peningkatan kualitas hidup semua artikel sepakat bahwa rehabilitasi paru dapat meningkatkan kualitas hidup pasien pasca tuberculosis. Kesimpulan hasil review artikel untuk mendapatkan hasil yang maksimal dalam intervensi rehabilitasi paru maka diperlukan kesabaran dan ketekunan baik bagi perawat selaku tenaga kesehatan dan khususnya pasien itu sendiri, karena intensitas dan durasi latihan harus diperhatikan untuk memperoleh hasil yang maksimal.</p> Acep Hidayatul Mustopa, Saryono Saryono, Iim Imas Masru'ah Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2054 Tue, 09 Apr 2024 00:00:00 +0000 Faktor-faktor yang Memengaruhi Terjadinya Kehamilan dengan Spektrum Plasenta Akreta: Systematic Review https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2171 <p>Analisis faktor-faktor yang dapat memicu terjadinya spektrum plasenta akreta (SPA) menjadi hal yang penting untuk dilakukan agar dapat dilakukan deteksi dini pada masa antepartum sehingga manajemen pengelolan pasien dapat dilakukan dengan tepat. Tujuan: Untuk mengetahui faktor-faktor apa saja yang memengaruhi terjadinya kehamilan dengan SPA. Metode: Systematic review dengan menggunakan tujuh database, yaitu Pubmed, Sciene Direct, Proquest, Scopus, Clinical Key, Sage, dan Taylor &amp; Francis online dengan kata kunci risk factors OR clinical factors OR influencing factors AND placenta accreta OR increta OR percreta OR adherent placenta OR invasive placenta. Artikel yang disertakan dalam kurun waktu 5 tahun dan berbahasa Inggris. Telusur artikel menggunakan format PRISMA. Data yang diperoleh dilakukan ekstraksi meliputi nama penulis, tahun terbit, judul, desain, sampel, dan hasil. Analisis critical appraisal dilakukan dengan menggunakan format JBI. Hasil: Diperoleh 22 artikel yang menyertakan 4.235.031 kehamilan dengan 14.186 kasus SPA. Faktor-faktor risiko yang ditemukan meliputi section caesarean (SC), plasenta previa, Assissted Reproductive Technology (ART), riwayat pembedahan pada uterine, abortus, multiparitas, usia &gt;35 tahun, merokok, alkohol, Obesitas (BMI &gt; 30 Kg/m^2), dan interval kehamilan yang pendek. Diskusi: Pada prinsipnya, kejadian spektrum plasenta akreta dipicu oleh kerusakan lapisan endometrium dan lapisan otot halus pada myometrium sehingga extravillious trophoblast (EVT) dapat menembus dinding uterine ke lapisan yang lebih dalam. Simpulan: Faktor-faktor risiko terjadinya SPA adalah riwayat SC, plasenta previa, riwayat pembedahan uterus, ART, riwayat abortus, multiparitas, merokok, dan alkohol. Usia bukan faktor independent SPA, namun dapat memengaruhi terjadinya SPA. Obesitas dan interval kehamilan yang pendek bukan merupakan faktor risiko SPA.</p> Asih Fujiasih, Imami Nur Rachmawati, Suryane Sulistiana Susanti Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2171 Fri, 29 Mar 2024 00:00:00 +0000 Implementasi Terapi Buteyko untuk Memperbaiki Pola Nafas pada Pasien Asma: Studi Kasus https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2192 <p>Data dari global asthma report, asma termasuk penyakit pernapasan kronis yang menyebabkan 15% kematian di dunia. penyakit asma di indonesia termasuk dalam sepuluh besar penyakit penyebab kesakitan dan kematian. Asma merupakan salah satu penyakit kronis yang tidak menular, dimana saluran napas mengalami penyempitan karena hiperaktivitas terhadap rangsangan tertentu, yang mengakibatkan peradangan, penyempitan ini bersifat berulang namun reversible. Salah satu penanganan terapi non farmakologi dengan teknik pernafasan buteyko, buteyko merupakan salah satu teknik olah napas yang betujuan untuk menurunkan ventilasi alveolar terhadap hiperventilasi paru pada penderita asma. Tujuan penelitian ini adalah untuk mengetahui tingkat kontrol pada penderita asma sebelum dan sesudah teknik pernafasan buteyko yang dilakukan di ruang teratai 3 rumah sakit umum daerah karanganyar. metode yang digunakan adalah case report dengan desain observasional deskriptif pada satu pasien. Pasien dilakukan intervensi berupa teknik pernafasan buteyko, lalu dilakukan pengukuran ulang untuk penilaian keefektifan intervensi. Sampel dalam studi ini seorang laki laki yang mengalami sesak nafas dengan saturasi oksigen : 85% dan respiratory rate : 30x/menit. Pasien diberikan intervensi selama ±15 menit setiap hari dalam 3 hari perawatan. Hasil yang di dapat dengan melakukan terapi non farmakologi berupa teknik pernafasan buteyko sebanyak 1 kali dalam waktu 3 hari berturut turut. hasil pengukuran saturassi oksigen dan respiratory rate mengalami perbaikan yang bertahap setelah dilakukan tindakan keperawatan dan dilakukan evaluasi dengan pendokumentasian berdasarkan subjek, objektif, analisa dan perencanaan. kesimpulan terapi teknik pernapasan buteyko dapat menurunkan frekuensi kekambuhan pada asma.</p> Widodo Widodo, Beti Kristinawati Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2192 Thu, 21 Mar 2024 00:00:00 +0000 Pengaruh Pendidikan Kesehatan terhadap Pengetahuan dan Sikap Keluarga Pasien tentang Pencegahan Healthcare Associated Infections (HAIs) https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2198 <p>Infeksi HAIs di rumah sakit adalah kondisi infeksi yang muncul sebagai hasil dari perawatan medis dan pelayanan Kesehatan. Tindakan pencegahan dan pengendalian infeksi menjadi suatu keharusan di lingkungan rumah sakit, khususnya di ruang isolasi. Pengetahuan dan sikap keluarga tentang HAIs mencakup pemahaman terhadap cara infeksi dapat terjadi, tanda-tanda dan gejala infeksi, serta langkah-langkah pencegahan yang dapat diambil. Keluarga yang mendapat informasi dengan baik dapat berpartisipasi aktif dalam merawat pasien dan membantu mengidentifikasi potensi risiko infeksi. Tujuan penelitian ini untuk mengetahui “Pengaruh pendidikan kesehatan terhadap pengetahuan dan sikap keluarga pasien tentang pencegahan HAIs (Healthcare Associated Infections) di Ruang Isolasi RSUD dr. Murjani Sampit. pendekatan desain One Group Pretest Posttest dengan jumlah sampel 37 responden. Peneliti mengumpulkan data sebelum intervensi (pre) untuk mendapatkan gambaran baseline kondisi subjek atau kelompok. Kemudian, setelah intervensi diberikan, data sesudah intervensi (post) dikumpulkan untuk menilai dampak atau perubahan yang terjadi. Berdasarkan Uji Statistik hasil dari penelitian ini didapatkan bahwa hasil uji statistik Wilcoxon Rank Test didapatkan Z hitung -5,323 &gt; Z tabel -1.645 (alpha 5%/0,05) Asymp.Sig.(2_tailed) adalah 0,000 (p &lt; α) yang berarti ada pengaruh pendidikan kesehatan terhadap pengetahuan dan sikap keluarga pasien tentang pencegahan HAIs di Ruang Isolasi RSUD dr. Murjani. Pentingnya pendidikan kesehatan tentang pencegahan HAIs kepada keluarga pasien yaitu dengan lima (5) tindakan yaitu: kebiasaan mencuci tangan, menggunakan alat pelindung diri/APD seperti sarung tangan, masker, etika batuk dan bersin, penggunaan antiseptik dan kebersihan lingkungan.</p> Eva Priskila, Meilitha Carolina, Fitri Anggraini Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2198 Thu, 21 Mar 2024 00:00:00 +0000 Pengaruh Autogenic Training pada Penurunan Tekanan Darah Lansia dengan Hipertensi https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1684 <p>Prevalensi hipertensi memiliki kejadian tertinggi pada lansia. Hipertensi yang tidak dikelola dengan baik dapat menyebabkan komplikasi dan Kematian. Pencegahan atau pengendalian hipertensi diperlukan agar mampu meminalkan kejadian komplikasi. Autogenic Training memiliki pengaruh terhadap penurunan tekanan darah penderita hipertensi. Autogenic training merupakan metode relaksasi yang berasal dari diri sendiri yang memberi efek mengurangi stress dan ketegangan otot sehingga dapat menurunkan tekanan darah. Tujuan dari penelitian adalah mengetahui pengaruh autogenic training dalam penurunan tekanan darah pada lansia dengan hipertensi. Desain penelitian adalah quasi-experimental design dengan pendekatan rancangan pre test-post test with control group design. Jumlah sampel penelitian 33 untuk kelompok intervensi dan 33 untuk kelompok kontrol. Tekanan darah pre intervensi dan post intervensi dianalisis menggunakan uji Wilcoxon. Hasil penelitian menunjukkan ada pengaruh autogenic training terhadap tekanan darah systole lansia dengan p value 0,000 dan terhadap tekanan darah diastole lansia dengan p value 0,007. Autogenic Training dapat menjadi salah satu Tindakan Keperawatan di komunitas dalam upaya menurunkan tekanan darah pada lansia.</p> <p> </p> Puspita Hanggit Lestari, Syafdewiyani Syafdewiyani, Yuli Mulyanti Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1684 Wed, 20 Mar 2024 00:00:00 +0000 Pengaruh Edukasi Tentang RJP Menggunakan Media Audio Visual terhadap Tingkat Pengetahuan Siswa https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1836 <p>Henti jantung merupakan salah satu kasus yang mengancam nyawa seseorang dan berakibat kematian apabila lama dalam pertolongan. Hal ini menunjukkan pentingnya keterampilan dan pengetahuan untuk memberikan bantuan hidup dasar secara cepat dan tepat, terutama kepada masyarakat awam. Tujuan penilitian ini untuk mengetahui pengaruh edukasi tentang bantuan hidup dasar menggunakan media audiovisual terhadap tingkat pengetahuan siswa SMAN 10 Kota Kupang. Jenis penelitian ini adalah kuantitatif, dengan desain pre-experimental one group pre-post test design. Teknik pengambilan sampel yaitu purposive sampling, dengan jumlah 78 responden, instrumennya adalah kuesioner. Uji statistik yang digunakan adalah uji wilcoxon signed test. Mayoritas tingkat pengetahuan sebelum edukasi adalah kurang sebanyak 53 responden (67,9%), dan setelah edukasi adalah baik sebanyak 60 responden (76,9%). Hasil uji statistik menggunakan uji wilcoxon diperoleh p-value 0,000. Ada pengaruh edukasi tentang bantuan hidup dasar menggunakan media audiovisual terhadap tingkat pengetahuan siswa SMAN 10 Kota Kupang.</p> Caturing Ayu Suryaningsih Pali, Yoany Maria Vianney Bita Aty, Domianus Namuwali, Irfan Irfan, Florentianus Tat Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1836 Wed, 20 Mar 2024 00:00:00 +0000 Kecemasan Pasien Pre Operasi dan Kualitas Tidur: Sebuah Studi Kasus https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2167 <p>Perubahan fisik dan emosi selama menjalani proses pre operasi merupakan suatu kondisi yang menimbulkan gangguan tidur pada pasien yang akan dilakukan operasi. Perubahan kondisi emisional yang terjadi seperti rasa cemas, rasa takut dan depresi, dan Perubahan fisik yang terjadi yaitu rasa sakit pada otot dan tulang. Tujuan dari penelitian yaitu mengetahui kecemasan pasien pre operasi dan kualitas tidur sebuah studi kasus di ruangan Bedah 2 RSUP Dr M Djamil Padang tahun 2023.Desain Penelitian cros sectional study. Populasi yaitu semua pasien pre operasi di ruangan bedah 2 RSUP Dr. M. Djamil Padang. Pengambilan sampel secara proportional random sampling. Besar sampel 136 orang. Hasil penelitian diperoleh proporsi kualitas tidur kurang baik 68,4%, kecemasan berat 72,8%. Terdapat hubungan antara kecemasan pasien pre operasi dengan kualitas kualitas tidur p&lt;0,05.</p> Dewi Gusrianti, Fatmawati Fatmawati, Yola Febrianti, Rani Fandari, Fenita Rahmayanti Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2167 Fri, 15 Mar 2024 00:00:00 +0000 Waiting Time Pasien IGD dan Faktor Determinan https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2142 <p>Waiting Time diukur mulai dari waktu pasien datang ke IGD sampai nanti di pindahkan ke ruangan. Penumpukan pasien di IGD adalah hal yang sering terjadi yang menyebabkan pasien menunggu dalam waktu yang lama. Salah satu yang dapat meningkatkan mutu pelayanan dan kepuasan yang lebih kepada pasien adalah faktor faktor tunggu yang baik. Tujuan penelitian adalah mengetahui faktor-faktor yang berhubungan dengan waiting time pasien IGD dr M Djamil Padang tahun 2023. Pendekatan yang digunakan cros sectional study. Populasi semua pasien yang di acc rawat di IGD RSUP Dr. M. Djamil Padang. Pengambilan sample dengan proportional random sampling. Besar sampel menggunakan rumus finite yait 384 orang. Data dikumpukan dengan cara observasi dan data dianalisa secara univariat, bivariat serta multivariat Hasil penelitian diperoleh proporsi waiting time yang baik 62,2%, sarana dan prasarana baik 83,1%, waktu konsul baik 61,2%, waktu administrasi baik 22,1%, waktu radiologi baik 90,1%, waktu labor baik 91,9%. Terdapat hubungan antara waktu konsul dan sarana prasarana dengan waiting time pasien IGD dengan nilai p&lt;0,05,. Faktor yang paling berhubungan dengan waiting time adalah faktor waktu konsul (OR 11.660, 95% CI 7.124-19,084).</p> Rusmanwadi Rusmanwadi, Fatmawati Fatmawati, Yola Febrianti, Windu Reswari, Sumirah Sumirah Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2142 Fri, 15 Mar 2024 00:00:00 +0000 Efektifitas Inhalasi Aroma Terapi Lavender terhadap Kecemasan dan Nyeri Saat Pemasangan Infus pada Anak dengan Kanker https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2186 <p>Pengalaman yang tidak menyenangkan dapat terjadi pada anak dengan kanker,hal ini disebabkan karena penyakitnya ataupun prosedur pengobatan. Prinsip atraumatic care dapat diterapkan oleh perawat anak agar dapat meminimalkan hal yang tidak menyenangkan tersebut, seperti melkukan pengontrolan nyeri dan mengurangi kecemasan pada anak. Penelitian ini bertujuan mengetahui efektifitas inhalasi aromaterapi lavender terhadap kecemasan dan nyeri saat anak dengan kanker dilakukan tindakan pemasangan infus. Penelitian menggunakan quasi experimental design with non-equivalent with control group design post-test only. Sampel menggunakan consecutive sampling di RSUP Dr M Djamil Padang dengan melibatkan 30 responden. Design penelitian pre-eksperimen dengan two group pretest–posttest. Teknik sampling menggunakan block random dan didapatkan 30 pasien post sectio caesaria di RSUP Dr M Djamil Padang. Hasil penelitian diperoleh ada pengaruh pemberian aromaterapi lavender terhadap kecemasan dan nyeri saat pemasangan infus pada anak dengan kanker di ruangan kronis RSUP Dr M Djamil Padang tahun 2023.</p> Yori Rahmi, Fatmawati Fatmawati, Yola Febrianti, Rusmanwadi Rusmanwadi, Fenita Rahmayanti Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2186 Fri, 15 Mar 2024 00:00:00 +0000 Faktor Determinan Implementasi Rekam Medik Elektronik https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2127 <p>Penggunaan RME harus memungkinkan semua penyedia layanan kesehatan, termasuk perawat, untuk melihat data terkait dengan cepat sehingga keputusan yang akurat dapat dibuat dalam situasi yang mengancam jiwa dan tidak mengancam jiwa. Penggunaan RME memfasilitasi dokumentasi perawat tentang topik yang lebih spesifik seperti pendidikan pasien, perlunya pengekangan, dan penilaian nyeri. RME juga harus memungkinkan perawat untuk mencegah kesalahan, karena pesan kesalahan muncul jika terjadi kesalahan. Penelitian ini bertujuan untuk mengetahui faktor determinan implementasi rekam medik elektronik di RSUP dr M Djamil Padang tahun 2023.Penelitian ini menggunakan desain cros sectional study. Populasi dalam penelitian ini adalah semua perawat yang bertugas di instalasi rawat inap RSUP Dr. M. Djamil Padang. Teknik pengambilan sampel dalam penelitian ini dilakukan dengan proportional random sampling. Besar sampel 238 orang. Data dikumpukan dengan cara angket dan data dianalisa secara univariat, bivariat serta multivariat, untuk analisa bivariat mengunakan uji Chi square sedangkan untuk multivariat digunakan uji regresi logistik. Hasil penelitian diperoleh proporsi implementasi RME yang baik 55,9%, persepsi kemudahan baik 68,9%, persepsi kemanfaatan baik 70,2%, pengaruh sosial baik 60,5%, kondisi yang memfasilitasi baik 61,8%, sikap positif 57,6%. Terdapat relasi antara persepsi kemudahan, persepsi kemanfaatan, sikap, kondisi yang menfasilitasi dan pengaruh sosial dengan implementasi rekam medis elektronik dengan nilai p&lt;0,005. Faktor yang paling berhubungan dengan implementasi rekam medis elektronik adalah faktor sikap (OR =0.265, 95% CI 0.103-0,681).</p> Wawan Wahyudi, Fatmawati Fatmawati, Widra Widra, Fenita Rahmayanti, Rusmanwadi Rusmanwadi Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2127 Fri, 15 Mar 2024 00:00:00 +0000 Efektifitas Pemberian Aromaterapi Jahe terhadap Keluhan Mual Muntah pada Pasien Post Operasi Sectio Caesaria https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2196 <p>Keluhan yang sering terjadi pada pasien post operasi sectio caesaria adalah Mual dan muntah, penyebabnya adalah efek obat anastesi. Dampak yang terjadi akibat kejadian Mual dan muntah jika tidak ditangani dengan cepat dapat mengakibatkan pasien mengalami aspirasi dan kematian oleh karena itu harus ditangani dengan cepat. Salah satu tindakan keperawatan yang dapat menurunkan mual dan muntah adalah dengan aromaterapi jahe. Penelitian ini bertujuan mengetahui pengaruh pemberian aromaterapi jahe terhadap keluhan mual muntah pada pasien post operasi sectio caesaria. Design penelitian pre-eksperimen dengan two group pretest–posttest. Teknik sampling block random dengan 30 sample yaitu pasien post sectio caesaria di RSUP Dr M Djamil Padang. Hasil penelitian diperoleh ada pengaruh pemberian aromaterapi jahe terhadap keluhan mual muntah pada pasien post operasi sectio caesaria RSUP Dr M Djamil Padang tahun 2023.</p> Afriza Novita Dewi, Fatmawati Fatmawati, Fenita Rahmayanti, Fadliyati Fadliyati, Sridewi Fitria Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2196 Thu, 14 Mar 2024 00:00:00 +0000 Faktor – faktor Risiko Demam Berdarah Dengue: Systematic Review https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2135 <p>Tujuan penelitian ini mengetahui faktor-faktor yang mempengaruhi resiko demam berdasarah di beberapa negara. Metode penelitian ini adalah systematic review dengan pedoman mengikuti PRISMA Cheklist tahun 2009. Pencarian artikel mengunakan 5 kata kunci demam berdarah dengue, faktor risiko demam berdarah dengue, dengue fever, risk factors dengue fever, dengue. Pencarian mencakup semua literatur yang diterbitkan antara tahun 2016 – 2022. Sebanyak 221 artikel ditemukan menggunakan empat data base elektronik yaitu Google Scholar, PubMed, Science Direct dan Scopus. sebagai mesin pencari dengan dua variasi kata kunci. Namun, sebanyak 189 artikel dikeluarkan kembali karena judul dan kata kunci yang tidak sesuai. Dilakukan penilaian teks lengkap, dan sebanyak 20 dikeluarkan karena tidak sesuai dengan kriteria inklusi. Akhirnya, hanya sebanyak 10 artikel yang sesuai dengan kriteria inklusi dan dapat dilakukan penilaian isi. Hasil penelitian didapatkan 4 kelompok besar faktor risiko yang banyak diteliti yaitu sosiodemografi, place of dwelling, lingkungan dan perilaku. Faktor sosiodemografi yang berhubungan dengan kejadian DBD adalah umur. Daerah urban (perkotaan) merupakan place of dwelling yang paling banyak ditemukan kasus DBD. Aspek lingkungan yang banyak diteliti adalah tipe rumah. Faktor perilaku yang berisiko dalam penularan yang paling banyak ditemukan signifikan yaitu perilaku PSN (Pemberantasan Sarang Nyamuk). Berdasarkan systematic review, faktor risiko yang secara konsisten memiliki persentase signifikansi paling tinggi dan paling banyak dianalisis dari 10 artikel yaitu Lingkungan (37,5%).</p> Rizki Wijayanti, Dwi Sarwani Sri Rejeki, Siwi Pramatama Mars Wijayanti Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2135 Thu, 14 Mar 2024 00:00:00 +0000 Analisis Faktor yang Berhubungan dengan Implementasi Clinical Pathway Layanan Prioritas https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2097 <p>Kualitas pelayanan serta biaya menjadi tinggi diakibatkan oleh karena Clinical Pathway tidak dilakukan dengan baik yang mengakibatkan pasien dirawat lebih lama dan kurang baik. Biaya yang tinggi menyebabkan Rumah sakit mengalami kerugian. Tujuan dari penelitian ini adalah diketahuinya faktor-faktor yang berhubungan dengan implementasi CP (Clinical Pathway) layanan prioritas di RSUP DR MDJamil Padang tahun 2023. Desain yang digunakan adalah cros sectional study. Populasi yaitu perawat yang dinas di Ruangan rawat inap. Sampel diambil dengan proportional random sampling. Jumlahnya 94 orang. Data dikumpukan dengan cara angket dan data dianalisa secara univariat, bivariat serta multivariat. Hasil penelitian diperoleh proporsi implementasi CP yang lebih dari separuh kurang baik 56,4%, sedangkan untuk pengetahuan sebagian besar kurang baik 81,9%, sikap kurang baik 72,3%, sosialisasi kurang baik 59,6%. Terdapat hubungan antara sosialisasi dengan implementasi Clinical Pathway dengan p&lt;0,005,. Faktor yang paling berhubungan dengan implementasi Clinical pathway adalah faktor sosialisasi (OR =0.084, 95% CI 0.028-0,250). Penelitian ini mengidentifikasi bahwasanya masih belum optimalnya implementasi clinical Pathway dan sangat diperlukannya sosialisasi tentang implementasi clinical pathway layanan prioritas lebih continue dan intens.</p> Fatmawati Fatmawati, Yola Febrianti, Fenita Rahmayanti, Rusmanwadi Rusmanwadi, Windu Reswari Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/2097 Thu, 14 Mar 2024 00:00:00 +0000 Model Faktor Prediksi Kejadian Sindrom Koroner Akut pada Pasien https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1942 <p>Cardiovascular Diseases merupakan penyebab utama kasus kematian secara global. SKA merupakan kontributor yang signifikan untuk kematian dari populasi yang memiliki faktor risiko. Tujuan penelitian memperoleh model prediksi kejadian SKA pada pasien di RSUD Kota Bogor. Desain yang digunakan kasus kontrol dengan kasus: pasien SKA dan kontrol: pasien non SKA, menggunakan matching jenis kelamin, jumlah sampel 390 pasien (tiap kelompok 195 pasien), menggunakan data sekunder, dianalisis menggunakan uji regresi logistik berganda dengan model faktor prediksi. Hasil penelitian mayoritas pasien berumur ≥45 tahun 72.6%, tidak memiliki riwayat hipertensi 67.9%, perokok 51.8%, tidak memiliki riwayat DM 90%, tidak obesitas 85.1%, dan tidak memiliki riwayat keluarga dengan penyakit jantung 89.7%. Hasil multivariat didapatkan, merokok berhubungan dengan SKA (p value 0,027) setelah dikontrol umur, riwayat hipertensi, riwayat DM, obesitas, riwayat keluarga dengan penyakit jantung, interaksi obesitas dan riwayat DM, interaksi riwayat hipertensi dan riwayat keluarga dengan penyakit jantung, interaksi riwayat DM dan riwayat hipertensi, interaksi obsitas dan riwayat hipertensi (p value omnimbus 0.00 dan Negelkerke R Square 0.454). Kesimpulan didapatkan model ini mampu memprediksi kejadian SKA sebesar 45,4%. Perlu ditingkatkan upaya pencegahan terhadap kejadian SKA melalui skrining, edukasi, maupun program rehabilitasi.</p> Masykur Khair, Wati Jumaiyah, Dewi Purnamawati, Yani Sofiani, Erwin Erwin, Bram Burmanajaya Copyright (c) 2024 Jurnal Keperawatan https://creativecommons.org/licenses/by-nc-nd/4.0 https://journal2.stikeskendal.ac.id/index.php/keperawatan/article/view/1942 Thu, 14 Mar 2024 00:00:00 +0000