Evaluasi Pelaksanaan ldentifikasi Dalam Pemberian Terapi, Transfusi, Pemeriksaan Penunjang Terhadap Insiden di Rumah Sakit: Tinjauan Literatur

DEWI NUR PUSPITA SARI

Abstract


Background: Identifikasi otomatis menyediakan cara yang efisien untuk mencegah terjadinya kesalahan yang mengakibatkan insiden dalam keselamatan pasien. Kesalahan Identifikasi  pasien dapat terjadi dalam pemberian obat, transfusi, dan pemeriksaan penunjang serta tindakan medis lain. Objectives : Tujuan tinjauan sistematis  ini mengetahui gambaran pelaksanaan identifikasi  pasien dalam pemberian terapi, transfusi, pemeriksaan penunjang  terhadap insiden di RS. Design : Metode yang digunakan metode literature riview yaitu pencarian data dari internet menggunakan dengan pencarian artikel melalui google scholar, pubmed, EBSCHO, dengan kriteria inklusi pelaksanaan identifikasi pasien. desain penelitian quasi eksperimen yang publis  yaitu lima tahun terakhir dari tahun 2015 sampai dengan 2020. Result : Hasil dari pencarian literatur ini didapatkan Setelah dilakukan sintesis yang komprehensif terhadap 7 artikel yang menggambarkan pentingnya identifikasi pasien pada saat melakukan tindakan kepada pasien yang dilakukan oleh perawat yang berdampak terhadap keselatamatan pasien. Kesimpulan: kesalahan identifikasi pasien dapat menyebab kelalalain bahkan kematian. Untuk  mengurangi bahaya dan meningkatkan budaya keselamatan pasien diperlukan Identifikasi pasien yang akurat dan kebijakan sistim identifikasi yang positif baik. 


Full Text:

PDF

References


Bolton-Maggs, P. H. B. (2018). Risks associated with delayed transfusion. Blood Transfusion.

Buljac-Samardzic, M., Doekhie, K. D., & Van Wijngaarden, J. D. H. (2020). Interventions to improve team effectiveness within health care: A systematic review of the past decade. In Human Resources for Health.

Chou, S.-S., Chen, Y.-J., Shen, Y.-T., Yen, H.-F., & Kuo, S.-C. (2019). Implementation and Effectiveness of a Bar Code–Based Transfusion Management System for Transfusion Safety in a Tertiary Hospital: Retrospective Quality Improvement Study. JMIR Medical Informatics, 7(3), e14192.

Department for Health and Wellbeing. (2018). Patient identification and matching to intended care. October.

Eriksen, M. B., & Frandsen, T. F. (2018). The impact of patient, intervention, comparison, outcome (Pico) as a search strategy tool on literature search quality: A systematic review. Journal of the Medical Library Association.

FAshavaid., T., Dandekar, S. P., Khodaiji, S., Ansari, M. H., & Singh, A. P. (2009). Influence of method of specimen collection on various preanalytical sample quality indicators in EDTA blood collected for cell counting. Indian Journal of Clinical Biochemistry, 24(4), 356–360.

Ferguson, C., Hickman, L., Macbean, C., & Jackson, D. (2019a). The wicked problem of patient misidentification: How could the technological revolution help address patient safety? Journal of Clinical Nursing, 28(13–14), 2365–2368. https://doi.org/10.1111/jocn.14848

Gao, X., Yan, S., Wu, W., Zhang, R., Lu, Y., & Xiao, S. (2019). Implications from China patient safety incidents reporting system. Therapeutics and Clinical Risk Management, 15, 259–267.

Härkänen, M., Tiainen, M., & Haatainen, K. (2018). Wrong-patient incidents during medication administrations. Journal of Clinical Nursing.

Hensley, N. B., Koch, C. G., Pronovost, P. J., Mershon, B. H., Boyd, J., Franklin, S., Moore, D., Sheridan, K., Steele, A., & Stierer, T. L. (2019).

Wrong-Patient Blood Transfusion Error: Leveraging Technology to Overcome Human Error in Intraoperative Blood Component Administration. Joint Commission Journal on Quality and Patient Safety.

Jeon, B., Jeong, B., Jee, S., Huang, Y., Kim, Y., Park, G. H., Kim, J., Wufuer, M., Jin, X., Kim, S. W., & Choi, T. H. (2019a). A facial recognition mobile app for patient safety and biometric identification: Design, development, and validation. Journal of Medical Internet Research, 21(4).

Kim, T. S., Hong, Y. J., Hwang, S. M., Park, K. U., Song, J. H., & Han, K. S. (2014). Application of radio frequency identification and 2-D barcode technology in conjunction with the crossmatching. Vox Sanguinis.

Lake, E. T., Roberts, K. E., Agosto, P. D., Ely, E., Bettencourt, A. P., Schierholz, E. S., Frankenberger, W. D., Catania, G., & Aiken, L. H. (2018). The Association of the Nurse Work Environment and Patient Safety in Pediatric Acute Care. Journal of Patient Safety.

Lippi, G., Chiozza, L., Mattiuzzi, C., & Plebani, M. (2017). Patient and Sample Identification. out of the Maze? Journal of Medical Biochemistry, 36(2), 107–112.

Liu, C., & Sun, L. (2020). The identity authentication mechanism of human testimony based on the mobile APP. Advances in Intelligent Systems and Computing, 1117 AISC, 1693–1700. https://doi.org/10.1007/978-981-15-2568-1_238

Mitchell, R., Faris, M., Lystad, R., Fajardo Pulido, D., Norton, G., Baysari, M., Clay-Williams, R., Hibbert, P., Carson-Stevens, A., & Hughes, C. (2020). Using the WHO International Classification of patient safety framework to identify incident characteristics and contributing factors for medical or surgical complication deaths. Applied Ergonomics, 82(August 2019).

Müller, B. S., Beyer, M., Blazejewski, T., Gruber, D., Müller, H., & Gerlach, F. M. (2019). Improving critical incident reporting in primary care through education and involvement. BMJ Open Quality, 8(3), e000556.

Najafpour, Z., Hasoumi, M., Behzadi, F., Mohamadi, E., Jafary, M., & Saeedi, M. (2017). Preventing blood transfusion failures: FMEA, an effective assessment method. BMC Health Services Research, 17(1).

Nakajima, K. (2017). Blood transfusion with health information technology in emergency settings from a safety-II perspective. In Resilient Health Care, Volume 2: The Resilience of Everyday Clinical Work.

NHS Improvement.nhs.uk (Ed.). (2019).

NAPSIR_commentary_Sept_2019_FINAL. In NRLS national patient safety incident report: commentary (Vol. 1). 2019.

Ning, H. C., Lin, C. N., Chiu, D. T. Y., Chang, Y. T., Wen, C. N., Peng, S. Y., Chu, T. L., Yu, H. M., & Wu, T. L. (2016). Reduction in hospital-wide clinical laboratory specimen identification errors following process interventions: A 10-year retrospective observational study. PLoS ONE, 11(8), 1–11.

Pournamdar, Z., & Zare, S. (2016). Survey of medication error factors from nurses’ perspective. Biology and Medicine, 8(5).

Rashed, A., & Hamdan, M. (2019). Physicians’ and Nurses’ Perceptions of and Attitudes Toward Incident Reporting in Palestinian Hospitals. Journal of Patient Safety, 15(3), 212–217.

Säfholm, S., Bondesson, Å., & Modig, S. (2019). Medication errors in primary health care records; A cross-sectional study in Southern Sweden. BMC Family Practice. https://doi.org/10.1186/s12875-019-1001-0

Souza, V. S. de, Inoue, K. C., Costa, M. A. R., Oliveira, J. L. C. de, Marcon, S. S., & Matsuda, L. M. (2018). Nursing errors in the medication process: television electronic media analysis. Escola Anna Nery, 22(2). https://doi.org/10.1590/2177-9465-ean-2017-0306

The Joint Commission. (2016a). Hospital Accreditation Program National Patient Safety Goals Effective. National Pateient Safety Goals Effective January 1, 2016.

Van Dongen-Lases, E. C., Cornes, M. P., Grankvist, K., Ibarz, M., Kristensen, G. B. B., Lippi, G., Nybo, M., & Simundic, A. M. (2016). Patient identification and tube labelling - A call for harmonisation. Clinical Chemistry and Laboratory Medicine, 54(7), 1141–1145. https://doi.org/10.1515/cclm-2015-1089

Waaseth, M., Ademi, A., Fredheim, M., Antonsen, M. A., Brox, N. M. B., & Lehnbom, E. C. (2019). Medication Errors and Safety Culture in a Norwegian Hospital. In Studies in Health Technology and Informatics (Vol. 265, pp. 107–112). https://doi.org/10.3233/SHTI190147

Wang, Y., Coiera, E., Runciman, W., & Magrabi, F. (2017). Automating the identification of patient safety incident reports using multi-label classification. Studies in Health Technology and Informatics, 245, 609–613. https://doi.org/10.3233/978-1-61499-830-3-609

Westbrook, J. I., Li, L., Hooper, T. D., Raban, M. Z., Middleton, S., & Lehnbom, E. C. (2017). Effectiveness of a Do not interrupt’ bundled intervention to reduce interruptions during medication administration: A cluster randomised controlled feasibility study. BMJ Quality and Safety. https://doi.org/10.1136/bmjqs-2016-006123




DOI: https://doi.org/10.38040/js.v12i3.157

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Jurnal Surya

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Faculty of Health Sciences, Universitas Muhammadiyah Lamongan

Jl. Raya Plalangan-Plosowahyu Km. 3 Kabupaten Lamongan Jawa Timur, Kode Pos 62218

 -------------------------------------------------------------------------------------------------------------------

Journal Surya is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. © All rights reserved 2017. Journal Surya p-ISSN 1979-9128 ISSN Online 2715-064X

Indexing and Database