Pengaruh penggunaan electronic early warning score record terhadap persepsi kegunaan dan kemudahan penggunaan perawat di area perawatan medikal
DOI: https://doi.org/10.33024/hjk.v20i2.2945
Electronic Early Warning Score Record Persepsi Kegunaan Persepsi Kemudahan Penggunaan Ruang Perawatan Medikal Teknologi Dalam Keperawatan
Abstract
Background: As a new technology in abortion, it is important to explore the perceived usefulness and ease of use of the E-EWSrecord application among potential users. Previous research has explored the issue of perceived usability. Comprehensive research on the perceived usefulness and ease of use of E-EWS technology is limited. These two factors are crucial in decision-making regarding the development of new technologies in the field of abortion.
Purpose: To determine the effect of E-EWSrecord use on nurses' perceived usefulness and ease of use in medical care.
Method: A quantitative study using a pre-experimental, single-group pre-post-test approach was conducted in the medical ward of a hospital in Solo Baru, from January 21 to March 3, 2022. A total of 77 nurses participated according to predetermined criteria. The researchers used the E-EWSrecord application as a research tool and a questionnaire on perceived usefulness and perceived ease of use as research instruments to assess nurses' perceptions. The Wilcoxon test was used to analyze the results.
Results: A total of 64 nurses (83.1%) considered E-EWSrecord very useful in their work and found it very easy to use. There was a significant difference in nurses' perceptions of usability and ease of use between before and after direct use of E-EWSrecord for 7 shifts, with a P-value of 0.000 and an effect size of 0.422.
Conclusion: The direct trial of E-EWSrecord was shown to have an impact on nurses' perceptions of usability and ease of use. The use of E-EWSrecord can improve patient safety and enhance patient quality of life. E-EWSrecord allows for better monitoring of patient conditions, faster recognition of changes in patient conditions by the healthcare team, allowing patients to receive prompt and appropriate care. It also demonstrates nurses' commitment to patients through technology in care.
Suggestion: Hospitals can implement electronic medical records (E-EWS) as a strategy to improve service quality, reduce nurse workload, reduce costs associated with paper-based documentation, increase service time efficiency, and enhance patient safety.
Keywords: Electronic Medical Records with Early Warning Score; Perceived Ease of Use; Perceived Usefulness; Medical Wards; Technology in Nursing.
Pendahuluan: Sebagai teknologi baru dalam keperawatan, aplikasi E-EWSrecord penting dilakukan eksplorasi terkait persepsi kegunaan dan kemudahan penggunaan perawat sebagai calon pengguna. Peneliti sebelumnya telah banyak mengeksplorasi mengenai persepsi kegunaan. Penelitian lengkap terkait persepsi kegunaan dan kemudahan penggunaan teknologi E-EWS masih terbatas. Dua hal tersebut merupakan faktor penting dalam pengambilan keputusan dari sebuah pengembangan teknologi baru di keperawatan.
Tujuan: Untuk mengetahui pengaruh penggunaan E-EWSrecord terhadap persepsi kegunaan dan kemudahan penggunaan perawat di area perawatan medikal.
Metode: Penelitian kuantitatif dengan pendekatan pra experimental one group pre-post-test yang dilakukan di ruang perawatan medikal salah satu rumah sakit di Solo Baru, pada tanggal 21 Januari hingga 3 Maret 2022. Sebanyak 77 perawat terlibat sesuai kriteria yang ditentukan. Peneliti menggunakan aplikasi E-EWSrecord sebagai alat penelitian serta kuesioner perceived usefulness & perceived ease of use sebagai instrumen penelitian untuk mencari persepsi perawat. Uji Wilcoxon digunakan untuk menganalisis hasil penelitian.
Hasil: Sejumlah 64 perawat (83.1%) memiliki persepsi bahwa E-EWSrecord sangat berguna dalam pekerjaannya dan berpersepsi bahwa E-EWSrecord sangat mudah digunakan. Terdapat perbedaan yang signifikan terkait persepsi kegunaan dan kemudahan penggunaan perawat, antara sebelum dengan setelah penggunaan E-EWSrecord secara langsung selama 7 shift, dengan P-value 0.000 dan effect size 0.422.
Simpulan: Percobaan E-EWSrecord secara langsung terbukti memberikan pengaruh terhadap perubahan persepsi kegunaan dan kemudahan penggunaan perawat. Penggunaan E-EWSrecord dapat meningkatkan keselamatan pasien serta meningkatkan kualitas hidup pasien. Adanya E-EWSrecord, kondisi pasien lebih terpantau, perubahan kondisi pasien lebih cepat diketahui oleh tim kesehatan, sehingga pasien segera mendapat pertolongan dengan cepat dan tepat. Kondisi tersebut juga menjadi bentuk caring perawat kepada pasien melalui teknologi dalam keperawatan.
Saran: Rumah sakit dapat pengaplikasian E-EWSrecord sebagai salah satu strategi dalam peningkatan mutu pelayanan, menurunkan beban kerja perawat, pengurangan biaya terkait dokumentasi paper based, efesiensi waktu pelayanan, serta keselamatan pasien.
Kata Kunci: Electronic Early Warning Score Record; Persepsi Kegunaan; Persepsi Kemudahan Penggunaan; Ruang Perawatan Medikal; Teknologi Dalam Keperawatan.
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References
Ahn, J. H., Jung, Y. K., Lee, J. R., Oh, Y. N., Oh, D. K., Huh, J. W., & Hong, S. B. (2020). Predictive powers of the Modified Early Warning Score and the National Early Warning Score in general ward patients who activated the medical emergency team. PLoS One, 15(5), e0233078.
Akinbohun, F., Akinbohun, A., Ojo, O. A., & Daodu, B. (2020). Web-Based Interactive Health Record System (WIHRS). European Journal of Engineering and Technology Research, 5(7), 790-794.
Alhussaini, A., Altoub, A., Herny, D., Mukuha, C., Nessim, D., Otto, M. J., & Watson, M. (2021). Using Automated National Early Warning Score (NEWS) 2 in Early Detection of in-Hospi-tal Patient Deterioration. The New American J Med, 2(2), 1-5.
Bach, R. L., & Wenz, A. (2020). Studying health-related internet and mobile device use using web logs and smartphone records. PloS one, 15(6), e0234663.
Bonnici, T., Gerry, S., Wong, D., Knight, J., & Watkinson, P. (2015). Evaluation of the effects of implementing an electronic early warning score system: protocol for a stepped wedge study. BMC medical informatics and decision making, 16(1), 19.
Brimblecombe, N., Quist, H., & Nolan, F. (2019). A mixed‐methods survey to explore views of staff and patients from mental health wards prior to introduction of a digital early warning system for physical deterioration. Journal of psychiatric and mental health nursing, 26(3-4), 65-76.
Buxton, B., Knight, J., & Shrivastava, U. (2019). Implications of vital sign monitor and electronic medical record integration on identification of patients in deteriorating condition.
Carayon, P., Hundt, A. S., & Wetterneck, T. B. (2010). Nurses’ acceptance of Smart IV pump technology. International journal of medical informatics, 79(6), 401-411.
Connor, N., McArthur, D., & Camargo Plazas, P. (2021). Reflections on vital sign measurement in nursing practice. Nursing Philosophy, 22(1), e12326.
Dawes, T. R., Cheek, E., Bewick, V., Dennis, M., Duckitt, R. W., Walker, J., & Venn, R. (2014). Introduction of an electronic physiological early warning system: effects on mortality and length of stay. British journal of anaesthesia, 113(4), 603-609.
Devi, B. R., Syed-Abdul, S., Kumar, A., Iqbal, U., Nguyen, P. A., Li, Y. C. J., & Jian, W. S. (2015). mHealth: An updated systematic review with a focus on HIV/AIDS and tuberculosis long term management using mobile phones. Computer methods and programs in biomedicine, 122(2), 257-265.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & management, 36(1), 9-21.
Firdaus, M. (2019). Improving patient safety and hospital service quality through electronic medical record: a systematic review. Jurnal ARSI: Administrasi Rumah Sakit Indonesia, 6(1), 5.
Friganović, A. (2016). Nursing and implementation of modern technology. Signa vitae: journal for intesive care and emergency medicine, 12(1.), 23-27.
Gerry, S., Bonnici, T., Birks, J., Kirtley, S., Virdee, P. S., Watkinson, P. J., & Collins, G. S. (2020). Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology. bmj, 369.
Gough, R., Ballardie, R., & Brewer, P. (2014). New technology and nurses. Labour & Industry: a journal of the social and economic relations of work, 24(1), 9-25.
Hariyati, R. T. S., Hamid, A. Y., Eryando, T., & Hasibuan, Z. A. (2020). Usability and satisfaction of using electronic nursing documentation, lesson-learned from new system implementation at a hospital in Indonesia. International Journal of Healthcare Management.
Jaradat, M. I. R. M., & Al-Mashaqba, A. M. (2014). Understanding the adoption and usage of mobile payment services by using TAM3. International Journal of Business Information Systems, 16(3), 271-296.
Kelly, J. T., Campbell, K. L., Gong, E., & Scuffham, P. (2020). The Internet of Things: Impact and implications for health care delivery. Journal of medical Internet research, 22(11), e20135.
Kumar, A., Sundar, D., & Agarwal, D. (2020). Commentary: Electronic medical record system–should complement but not replace traditional health care. Indian Journal of Ophthalmology, 68(3), 432-433.
Kuo, K. M., Liu, C. F., & Ma, C. C. (2013). An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems. BMC medical informatics and decision making, 13(1), 88.
Locsin, R. C. (2017). The co-existence of technology and caring in the theory of technological competency as caring in nursing. The Journal of Medical Investigation, 64(1.2), 160-164.
Mayad, M., Alyusfi, R., Assabri, A., & Khader, Y. (2019). An electronic disease early warning system in Sana’a Governorate, Yemen: evaluation study. JMIR public health and surveillance, 5(4), e14295.
Mueller, J., Jay, C., Harper, S., Davies, A., Vega, J., & Todd, C. (2017). Web use for symptom appraisal of physical health conditions: a systematic review. Journal of medical Internet research, 19(6), e202.
Pullinger, R., Wilson, S., Way, R., Santos, M., Wong, D., Clifton, D., & Tarassenko, L. (2017). Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study. European Journal of Emergency Medicine, 24(6), e11-e16.
Putra, Y. S. (2016). Theoritical review: Teori perbedaan generasi. Among makarti, 9(2), 357301.
Rose, M. A., Hanna, L. A., Nur, S. A., & Johnson, C. M. (2015). Utilization of electronic modified early warning score to engage rapid response team early in clinical deterioration. Journal for nurses in professional development, 31(3), E1-E7.
Royal College of Physicians. (2019). Resources to support the adoption of the National Early Warning Score. Diakses dari: https://improvement.nhs.uk/documents/3657/Resources_to_support_the_adoption_of_NEWSFINAL.PDF
Schmidt, P. E., Meredith, P., Prytherch, D. R., Watson, D., Watson, V., Killen, R. M., & Smith, G. B. (2015). Impact of introducing an electronic physiological surveillance system on hospital mortality. BMJ quality & safety, 24(1), 10-20.
Seibert, K., Domhoff, D., Huter, K., Krick, T., Rothgang, H., & Wolf-Ostermann, K. (2020). Application of digital technologies in nursing practice: Results of a mixed methods study on nurses’ experiences, needs and perspectives. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, 158, 94-106.
Spagnolli, W., Rigoni, M., Torri, E., Cozzio, S., Vettorato, E., & Nollo, G. (2017). Application of the National Early Warning Score (NEWS) as a stratification tool on admission in an Italian acute medical ward: A perspective study. International journal of clinical practice, 71(3-4), e12934.
Stevenson, J. E., Israelsson, J., Nilsson, G., Petersson, G., & Bath, P. A. (2018). Vital sign documentation in electronic records: the development of workarounds. Health Informatics Journal, 24(2), 206-215.
Tasew, H., Mariye, T., & Teklay, G. (2019). Nursing documentation practice and associated factors among nurses in public hospitals, Tigray, Ethiopia. BMC research notes, 12(1), 612.
Tubaishat, A. (2018). Perceived usefulness and perceived ease of use of electronic health records among nurses: application of technology acceptance model. Informatics for Health and Social Care, 43(4), 379-389.
Vuorinen, A. L., Leppänen, J., Kaijanranta, H., Kulju, M., Heliö, T., Van Gils, M., & Lähteenmäki, J. (2014). Use of home telemonitoring to support multidisciplinary care of heart failure patients in Finland: randomized controlled trial. Journal of medical Internet research, 16(12), e282.
Westphal, G. A., Pereira, A. B., Fachin, S. M., Sperotto, G., Gonçalves, M., Albino, L., & Koenig, Á. (2018). An electronic warning system helps reduce the time to diagnosis of sepsis. Revista Brasileira de terapia intensiva, 30, 414-422.
Wong, D. C., Knight, J., Birks, J., Tarassenko, L., & Watkinson, P. J. (2018). Impact of electronic versus paper vital sign observations on length of stay in trauma patients: stepped-wedge, cluster randomized controlled trial. JMIR medical informatics, 6(4), e10221.
Wong, D., Bonnici, T., Knight, J., Gerry, S., Turton, J., & Watkinson, P. (2017). A ward-based time study of paper and electronic documentation for recording vital sign observations. Journal of the American Medical Informatics Association, 24(4), 717-721.
Zarabzadeh, A., O'Connell, M., O'Donoghue, J., O'Kane, T., Woodworth, S., Gallagher, J., & Adam, F. (2012, June). Features of electronic early warning systems which impact clinical decision making. In 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) (pp. 1-4). IEEE.
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