PENGARUH NURSE BURNOUT TERHADAP QUALITY OF PATIENT CARE DAN KEJADIAN ADVERSE EVENTS YANG DIMEDIASI OLEH WORK ENGAGEMENT (STUDI PADA TIGA RUMAH SAKIT SWASTA)
DOI:
https://doi.org/10.35794/jmbi.v11i3.59165Abstrak
Burnout merupakan kondisi kelelahan yang mencakup aspek fisik, emosional, dan mental akibat stres yang berkepanjangan, dalam profesi keperawatan tingginya beban kerja, tekanan emosional yang signifikan, serta kurangnya dukungan institusional dapat memicu kondisi ini. Penelitian ini bertujuan untuk mengevaluasi pengaruh nurse burnout terhadap quality of patient care dan kejadian adverse event di lingkungan rumah sakit, dengan mempertimbangkan peran work engagement sebagai mediator. Latar belakang penelitian ini didasarkan pada meningkatnya insiden keselamatan pasien serta tingginya angka turnover perawat selama periode 2022 hingga 2024, yang mencerminkan tantangan signifikan dalam sistem pelayanan kesehatan dan potensi dampaknya terhadap mutu layanan. Pendekatan kuantitatif dengan desain penelitian cross sectonal dan data sampel pada penelitian ini diambil dengan menggunakan metode non-probability sampling, yaitu dengan purposive sampling diperoleh dari perawat di tiga rumah sakit swasta menggunakan kuesioner. Terdapat 282 sampel yang memenuhi syarat dan dianalisis dengan PLS-SEM. Hasil penelitian menunjukkan bahwa model menjelaskan 21,6% variasi kejadian adverse event (R² = 0,216), 39,3% quality of patient care (R² = 0,393), dan 2,6% work engagement (R² = 0,026). Model ini memiliki kemampuan prediksi moderat ditemukan untuk adverse event (Q² = 0,168), sementara quality of patient care (Q² = 0,022) dan work engagement (Q² = 0,016) memiliki prediksi cukup. CVPAT menunjukkan model PLS-SEM memiliki kemampuan prediksi yang lebih baik dibandingkan dengan indicator average (IA) dan linear model (LM) (nilai ALD negatif dan p-value ≤ 0.05) yang mengindikasikan kemampuan prediktif yang memadai. Dengan demikian, variabel-variabel dalam penelitian ini memiliki kemampuan prediktif yang lebih baik menggunakan pendekatan PLS-SEM dibandingkan model alternatif.
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