Pengaruh Early Warning Score terhadap Keselamatan Pasien
Abstract
This study aims to identify the application of the Early Warning Score (EWS) system to patient safety. The method used is Literature Review. Article searches have been carried out comprehensively using the Pubmed and Google Scholar databases. Search for articles with the keywords Early Warning Score, Emergency, Patient Safety. The research results show that safety increases from early detection using EWS. EWS is very influential in improving patient safety. EWS is a scoring system that is simple, practical, easy to use and does not increase the workload of nurses. The influence of nurse competency using EWS can improve patient safety because it makes nurses compete to improve knowledge and skills, nurse communication, decision making, and collaboration with other health workers. In conclusion, the application of the Early Warning Score is very influential in supporting patient safety, where the Early Warning Score can detect patient deterioration early so that nurses are able to carry out further nursing actions. Apart from that, nurses' understanding and good nursing skills can support patient safety.
Keywords: Emergency, Patient safety, Early Detection Score
References
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Martín-Raya, N., Díaz-Pacheco, J., López-Díez, A., Dorta Antequera, P., & Cabrera, A. (2023). A Lava Flow Simulation Experience Oriented to Disaster Risk Reduction, Early Warning Systems and Response During the 2021 Volcanic Eruption in Cumbre Vieja, La Palma. Natural Hazards, 117(3), 3331–3351. https://doi.org/10.1007/s11069-023-05989-w
Peres, D. J., & Cancelliere, A. (2021). Comparing Methods for Determining Landslide Early Warning Thresholds: Potential Use of Non-Triggering Rainfall for Locations with Scarce Landslide Data Availability. Landslides, 18. https://doi.org/10.1007/s10346-021-01704-7
Teng, C., Egger, S., Blinman, P. L., & Vardy, J. L. (2022). Evaluating Laser Photobiomodulation for Chemotherapy-Induced Peripheral Neuropathy: A Randomised Phase II Trial. Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer, 31(1), 52. https://doi.org/10.1007/s00520-022-07463-y
Vergara, P., Forero, D., & Bastidas, A. (2021). Validation of the National Early Warning Score (NEWS)-2 For Adults in the Emergency Department in A Tertiary-Level Clinic in Colombia. Medicine, 100. https://doi.org/10.1097/MD.0000000000027325
Wieringa, S., Neves, A. L., Rushforth, A., Ladds, E., Husain, L., Finlay, T., Pope, C., & Greenhalgh, T. (2022). Safety Implications of Remote Assessments for Suspected COVID-19: Qualitative Study in UK Primary Care. BMJ Quality & Safety. https://doi.org/10.1136/bmjqs-2021-013305
Wigati, I., Arwani, A., & Dewi, M. C. (2020). Meningkatkan Keselamatan Pasien dalam Deteksi Dini Perburukan Kondisi Fisiologis Pasien Menggunakan National Early Warning Score (NEWS). Jurnal Kepemimpinan Dan Manajemen Keperawatan, 3(2), 100–106. https://doi.org/10.32584/jkmk.v3i2.639
Yu, S. C., Shivakumar, N., & Betthauser, K. (2021). Comparison of Early Warning Scores for Sepsis Early Identification and Prediction in The General Ward Setting. JAMIA Open, 4. Https://Doi.Org/10.1093/Jamiaopen/Ooab062
Zeng, H. (2022). Influences of Mobile Edge Computing-Based Service Preloading on The Early-Warning of Financial Risks. The Journal of Supercomputing, 78(9), 11621–11639. https://doi.org/10.1007/s11227-022-04329-2
Alshater, M. M., Kampouris, I., Marashdeh, H., Atayah, O. F., & Banna, H. (2022). Early Warning System to Predict Energy Prices: the Role of Artificial Intelligence and Machine Learning. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04908-9
Aygun, H., & Eraybar, S. (2022). The Role of Emergency Department Triage Early Warning Score (TREWS) and Modified Early Warning Score (MEWS) to Predict in-Hospital Mortality in COVID-19 Patients. Irish Journal of Medical Science (1971 -), 191(3), 997–1003. https://doi.org/10.1007/s11845-021-02696-y
Angkasa, M. P. (2022). Studi Literatur: Peningkatan Keselamatan Pasien dalam Deteksi Dini Kegawatdaruratan Pasien Menggunakan Early Warning Score. Jurnal Lintas Keperawatan, 3(1). https://doi.org/10.31983/jlk.v3i1.8513
Buivydaite, R., Reen, G., Kovalevica, T., Dodd, H., Hicks, I., Vincent, C., & Maughan, D. (2022). Improving Usability of Electronic Health Records in A UK Mental Health Setting: A Feasibility Study. Journal of Medical Systems, 46(7), 50. https://doi.org/10.1007/s10916-022-01832-0
Burgos-Esteban, A., Gea-Caballero, V., Marín-Maicas, P., Santillán-García, A., Cordón-Hurtado, M. de V., Marqués-Sule, E., Giménez-Luzuriaga, M., Juárez-Vela, R., Sanchez-Gonzalez, J. L., García-Criado, J., & Santolalla-Arnedo, I. (2022). Effectiveness of Early Warning Scores for Early Severity Assessment in Outpatient Emergency Care: A Systematic Review. In Frontiers in public health (Vol. 10, p. 894906). https://doi.org/10.3389/fpubh.2022.894906
Carr, E., Bendayan, R., Bean, D., Stammers, M., Wang, W., Zhang, H., Searle, T., Kraljevic, Z., Shek, A., Phan, H. T. T., Muruet, W., Gupta, R. K., Shinton, A. J., Wyatt, M., Shi, T., Zhang, X., Pickles, A., Stahl, D., Zakeri, R., … Dobson, R. J. B. (2021). Evaluation and Improvement of The National Early Warning Score (NEWS2) for COVID-19: A Multi-Hospital Study. BMC Medicine, 19(1), 23. https://doi.org/10.1186/s12916-020-01893-3
Du, G., Liu, Z., & Lu, H. (2021). Application of Innovative Risk Early Warning Mode Under Big Data Technology in Internet Credit Financial Risk Assessment. J Comput Appl Math, 386. https://doi.org/10.1016/j.cam.2020.113260
Ede, E. S., Scheerhoorn, J., & Bonomi, A. G. (2022). Continuous Remote Monitoring in Post-Bariatric Surgery Patients: Development Of an Early Warning Protocol. Surg Obes Relat Dis, 18. https://doi.org/10.1016/j.soard.2022.06.018
Fang, A. H. Sen, Lim, W. T., & Balakrishnan, T. (2020). Early Warning Score Validation Methodologies and Performance Metrics: A Systematic Review. BMC Medical Informatics and Decision Making, 20(1), 111. https://doi.org/10.1186/s12911-020-01144-8
Gariano, S. L., Melillo, M., Brunetti, M. T., Kumar, S., Mathiyalagan, R., & Peruccacci, S. (2023). Challenges in Defining Frequentist Rainfall Thresholds to Be Implemented in a Landslide Early Warning System in India BT - Progress in Landslide Research and Technology, 1(1), 409–416. Springer International Publishing. https://doi.org/10.1007/978-3-031-16898-7_27
Hermans, T. D. G., Šakić Trogrlić, R., van den Homberg, M. J. C., Bailon, H., Sarku, R., & Mosurska, A. (2022). Exploring The Integration of Local and Scientific Knowledge in Early Warning Systems for Disaster Risk Reduction: A Review. Natural Hazards, 114(2), 1125–1152. https://doi.org/10.1007/s11069-022-05468-8
Huang, A., Qiu, L., & Li, Z. (2021). Applying Deep Learning Method in TVP-VAR Model Under Systematic Financial Risk Monitoring and Early Warning. J Comput Appl Math, 382. https://doi.org/10.1016/j.cam.2020.113065
Martín-Raya, N., Díaz-Pacheco, J., López-Díez, A., Dorta Antequera, P., & Cabrera, A. (2023). A Lava Flow Simulation Experience Oriented to Disaster Risk Reduction, Early Warning Systems and Response During the 2021 Volcanic Eruption in Cumbre Vieja, La Palma. Natural Hazards, 117(3), 3331–3351. https://doi.org/10.1007/s11069-023-05989-w
Peres, D. J., & Cancelliere, A. (2021). Comparing Methods for Determining Landslide Early Warning Thresholds: Potential Use of Non-Triggering Rainfall for Locations with Scarce Landslide Data Availability. Landslides, 18. https://doi.org/10.1007/s10346-021-01704-7
Teng, C., Egger, S., Blinman, P. L., & Vardy, J. L. (2022). Evaluating Laser Photobiomodulation for Chemotherapy-Induced Peripheral Neuropathy: A Randomised Phase II Trial. Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer, 31(1), 52. https://doi.org/10.1007/s00520-022-07463-y
Vergara, P., Forero, D., & Bastidas, A. (2021). Validation of the National Early Warning Score (NEWS)-2 For Adults in the Emergency Department in A Tertiary-Level Clinic in Colombia. Medicine, 100. https://doi.org/10.1097/MD.0000000000027325
Wieringa, S., Neves, A. L., Rushforth, A., Ladds, E., Husain, L., Finlay, T., Pope, C., & Greenhalgh, T. (2022). Safety Implications of Remote Assessments for Suspected COVID-19: Qualitative Study in UK Primary Care. BMJ Quality & Safety. https://doi.org/10.1136/bmjqs-2021-013305
Wigati, I., Arwani, A., & Dewi, M. C. (2020). Meningkatkan Keselamatan Pasien dalam Deteksi Dini Perburukan Kondisi Fisiologis Pasien Menggunakan National Early Warning Score (NEWS). Jurnal Kepemimpinan Dan Manajemen Keperawatan, 3(2), 100–106. https://doi.org/10.32584/jkmk.v3i2.639
Yu, S. C., Shivakumar, N., & Betthauser, K. (2021). Comparison of Early Warning Scores for Sepsis Early Identification and Prediction in The General Ward Setting. JAMIA Open, 4. Https://Doi.Org/10.1093/Jamiaopen/Ooab062
Zeng, H. (2022). Influences of Mobile Edge Computing-Based Service Preloading on The Early-Warning of Financial Risks. The Journal of Supercomputing, 78(9), 11621–11639. https://doi.org/10.1007/s11227-022-04329-2
Published
2023-12-31
Section
Articles
Copyright (c) 2023 Victor Carlos Masela, Cecep Eli Kosasih, Etika Emaliyawati
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
