Uji Validitas Dan Reliabilitas Prototipe Aplikasi "SICEPAT Anak" Menggunakan System Usability Scale (SUS) Dan Technology Acceptance Model (TAM)

I Wayan Edi Sanjana, Anak Agung Istri Wulan Krisnandari D, Pande Putu Gede Putra Pertama

Sari


The pre-hospital emergency management of pediatric patients can be challenging for ambulance nurses when providing emergency care. This situation can arise due to a  lack of specific protocols and limited experience with pediatric cases. Digitalization through mobile-based applications is needed as a clinical decision aid. In developing a mobile application prototype, it is necessary to conduct validation and reliability testing by experts and users to improve suitability of use before implementation. This study aims to test the validity and reliability of the “SiCEPAT Anak” application prototype using the System Usability Scale (SUS) and Technology Acceptance Model (TAM) instruments. This study used a descriptive cross-sectional study design conducted on 30 ambulance nurses selected using purposive sampling. Content validity was tested through Face Validity by experts in the fields of Information Technology Systems and Emergency Nursing, while reliability was measured using the Cronbach's Alpha coefficient. The majority of respondents had a nursing education level (63.3%) and were in the adult age category. The reliability test results showed a Cronbach's Alpha value of 0.735 for SUS and 0.837 for TAM. The measurement of usability and technology acceptance in the “SiCepat Anak” application prototype from the statistical test results proved to be reliable. The application is considered to have good internal consistency, is easy to use, and is well-accepted by nurses as an aid for handling pediatric emergencies. These findings contribute to clinical decision-making and guide the development of advanced features to enhance the quality and safety of pre-hospital pediatric care.


Kata Kunci


ambulans; aplikasi seluler; pra rumah sakit

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Referensi


Öberg M, Vicente V, Wahlberg AC. The emergency medical service personnel’s perception of the transportation of young children. Int Emerg Nurs [Internet]. 2015;23(2):133–7. Available from: http://dx.doi.org/10.1016/j.ienj.2014.06.192

An Q, Kelley MM, Hanners A, Yen P-Y. Sustainable Development for Mobile Health Apps Using the Human-Centered Design Process. JMIR Form Res [Internet]. 2023;7. Available from: https://www.sciencedirect.com/science/article/pii/S2561326X23003773

Campbell A, Ascenzi J, Busch DW. An Integrative Review Regarding Knowledge and Self-Competency of Pediatric and Neonatal Critical Care Transport Nurses. Air Med J [Internet]. 2022 Sep;41(5):484–90. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1067991X22001407

Sanjana IWE, Kamaryati NP, Sagitha IGE, Sari NMCC, Sutini NK. Frequency of Prehospital Ambulance Utilization by Patients with Chronic Disease: A Retrospective Study. Babali Nurs Res. 2023;4(3):299–310.

Padrez KA, Brown J, Zanoff A, Chen CC, Glomb N. Development of a simulation-based curriculum for Pediatric prehospital skills: a mixed-methods needs assessment. BMC Emerg Med [Internet]. 2021;21(1):107. Available from: https://doi.org/10.1186/s12873-021-00494-4

Cicero MX, Baird J, Brown L, Auerbach M, Adelgais K. Frequency, Type, and Degree of Potential Harm of Adverse Safety Events among Pediatric Emergency Medical Services Encounters. Prehospital Emerg care. 2024;28(7):883–9.

Hoyle JD, Crowe RP, Bentley MA, Beltran G, Fales W. Pediatric Prehospital Medication Dosing Errors: A National Survey of Paramedics. Prehospital Emerg Care [Internet]. 2017 Mar 4;21(2):185–91. Available from: https://www.tandfonline.com/doi/full/10.1080/10903127.2016.1227001

Dowling C. Factors Affecting Paramedic Personnel in the Assessment and Management of Emergency Pediatric Patients within the Prehospital Settings in the United Kingdom. Int J MCH AIDS [Internet]. 2023 Apr 6;12:e600. Available from: https://mchandaids.org/factors-affecting-paramedic-personnel-in-the-assessment-and-management-of-emergency-pediatric-patients-within-the-prehospital-settings-in-the-united-kingdom/

Sjölin H, Lindström V, Vicente V, Hult H, Ringsted C, Kurland L. Prehospital emergency nurses’ experiences of care in critical incidents. Int Emerg Nurs [Internet]. 2020;51(May):100890. Available from: https://doi.org/10.1016/j.ienj.2020.100890

Keebler JR, Lazzara EH, Misasi P. Human Factors and Ergonomics of Prehospital Emergency Care [Internet]. Taylor & Francis Group; 2019. Available from: https://books.google.co.id/books?id=tXVEzAEACAAJ

Todorova L, Johansson A, Ivarsson B. Perceptions of ambulance nurses on their knowledge and competence when assessing psychiatric mental illness. Nurs Open. 2021;8(2):946–56.

Sanjana IWE, Agustini NLPIB, Wahyunadi NMD, Yusniawati YNP. The Training Component of Knowledge Improvement about Basic Life Support in Laypersons: A literature review. In: Enchancing the Role of Holistic Care Approach for better Health Status in The Clinical and Community Setting. jember: Universitas dr. Soebandi; 2023.

Kruse CS, Beane A. Health Information Technology Continues to Show Positive Effect on Medical Outcomes: Systematic Review. J Med Internet Res [Internet]. 2018 Feb 5;20(2):e41. Available from: http://www.jmir.org/2018/2/e41/

Adnyani PD, Agustini NLPIB, Wahyunadi NMD, Sanjana IWE, Artawan IK. Advanced Life Support Video Training Modalities: A Literature Review. Babali Nurs Res [Internet]. 2023 Jul 31;4(3):382–92. Available from: https://babalinursingresearch.com/index.php/BNR/article/view/257

Magrabi F, Habli I, Sujan M, Wong D, Thimbleby H, Baker M, et al. Why is it so difficult to govern mobile apps in healthcare? BMJ Heal Care Informatics [Internet]. 2019 Nov 18;26(1):e100006. Available from: https://informatics.bmj.com/lookup/doi/10.1136/bmjhci-2019-100006

Nejadshafiee M, Bahaadinbeigy K, Kazemi M, Nekoei-Moghadam M. Telenursing in Incidents and Disasters: A Systematic Review of the Literature. J Emerg Nurs. 2020;46(5):611–22.

Hedberg H, Hedberg P, Aléx J, Karlsson S, Haney M. Effects of an advanced first aid course or real-time video communication with ambulance personnel on layperson first response for building-site severe injury events: a simulation study. BMC Emerg Med. 2024;24(1):1–10.

Siebert JN, Gosetto L, Sauvage M, Bloudeau L, Suppan L, Rodieux F, et al. Usability Testing and Technology Acceptance of an mHealth App at the Point of Care During Simulated Pediatric In- and Out-of-Hospital Cardiopulmonary Resuscitations: Study Nested Within 2 Multicenter Randomized Controlled Trials. JMIR Hum Factors. 2022;9(1).

Lacour M, Bloudeau L, Combescure C, Haddad K, Hugon F, Suppan L, et al. Impact of a Mobile App on Paramedics’ Perceived and Physiologic Stress Response During Simulated Prehospital Pediatric Cardiopulmonary Resuscitation: Study Nested Within a Multicenter Randomized Controlled Trial. JMIR mHealth uHealth [Internet]. 2021 Oct 7;9(10):e31748. Available from: https://mhealth.jmir.org/2021/10/e31748

Konttila J, Siira H, Kyngäs H, Lahtinen M, Elo S, Kääriäinen M, et al. Healthcare professionals’ competence in digitalisation: A systematic review. J Clin Nurs [Internet]. 2019;28(5–6):745–61. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/jocn.14710

Kuek A, Hakkennes S. Healthcare staff digital literacy levels and their attitudes towards information systems. Health Informatics J. 2020 Mar;26(1):592–612.

Schnall R, Rojas M, Bakken S, Brown W, Carballo-Dieguez A, Carry M, et al. A user-centered model for designing consumer mobile health (mHealth) applications (apps). J Biomed Inform [Internet]. 2016;60:243–51. Available from: https://www.sciencedirect.com/science/article/pii/S1532046416000241

Taramasco C, Lazo Y, Rodenas T, Fuentes P, Mart’inez F, Demongeot J. System Design for Emergency Alert Triggered by Falls Using Convolutional Neural Networks. J Med Syst [Internet]. 2020 Jan;44(2). Available from: https://doi.org/10.1007/s10916-019-1484-1

Maramba I, Chatterjee A, Newman C. Methods of usability testing in the development of eHealth applications: A scoping review. Int J Med Inform [Internet]. 2019;126:95–104. Available from: https://www.sciencedirect.com/science/article/pii/S1386505618313182

Mohammadzadeh N, Lotfi F, Samadpour H. Identifying Influential Theories in Human-Computer Interaction Within Health Informatics: A Systematic Review. Heal Sci reports. 2025 Jul;8(7):e71074.

Kamal SA, Shafiq M, Kakria P. Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technol Soc [Internet]. 2020;60:101212. Available from: https://www.sciencedirect.com/science/article/pii/S0160791X19300909

Salma SA, Widyanti A, Muslim K, Wijayanto T. The Influence of Trust , Health Beliefs , and Technology Acceptance on The Intent to use an Mhealth in Indonesia : An Empirical Study of Users and Non- Users. 2024;15(February 2023):1247–57.




DOI: https://doi.org/10.33992/jgk.v18i2.4938

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