Interrelationship among Personal Characteristics, Perceptions, and SelfEfficacy on Electronic Medical Record System (ERNRS) Use among Health Professionals

Patricia Grace  L. Ang,; Resty  L. Picardo,; Joan  P. Bacarisas,; Jake  C. Napoles,

Interrelationship among Personal Characteristics, Perceptions, and SelfEfficacy on Electronic Medical Record System (ERNRS) Use among Health Professionals

Patricia Grace L. Ang | Resty L. Picardo | Joan P. Bacarisas | Jake C. Napoles

Abstract:

Improvements in the quality and safety of patient treatment are enhanced with the use of electronic medical records (EMRs). Despite the use of EMR, no established data existed on perceptions and self-efficacy and their relationship at the local level. The study assessed the interrelationships among personal characteristics, perceptions, and self-efficacy on EMR system use among 306 health professionals of a tertiary private hospital in Pasig, Metro Manila, Philippines, for the second quarter of 2023 who were chosen utilizing a proportionate stratified random sampling. This quantitative research used the descriptive, correlational design. Findings revealed that most respondents were young adults, females, had bachelor’s degrees, had good typing ability, and had training in EMR systems. Most belonged to the medical department, used the system moderately, and served for 1-3 years. Overall, perceptions of EMR and self-efficacy were good. All the personal characteristics had a relationship with perceptions of EMR. All personal characteristics, except gender, were correlated with self-efficacy. However, gender was not. Lastly, perceptions of EMR had a relationship with self-efficacy. To address the findings, an action plan for telehealth utilization was created. In conclusion, perceptions of EMR and self-efficacy are influenced by personal characteristics, while perceptions of EMR influence self-efficacy.

References:

Alaryani, Z. D., Alhofaian, A., & Elhady, M. (2021). The relationship between knowledge and self-efficacy of nurses regarding early initiation of cardiopulmonary resuscitation and automated defibrillation in Saudi Arabia. Belitung Nursing Journal, 7(5), 387.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Denseymour (2022). Electronic Health Records System in the Philippines. https://denseymour.com/electronic-health-record-system-philippines/
Devkota, H. R., Sijali, T. R., Bogati, R., Clarke, A., Adhikary, P., & Karkee, R. (2021). How does public knowledge, attitudes, and behaviors correlate in relation to COVID-19? A community-based cross-sectional study in Nepal. Frontiers in public health, 8, 589372.
Gallagher, M. W. (2012). The agentic worldview of Self-Efficacy Theory. Encyclopedia of Human Behavior, 2nd Edition.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.
Lee, W. W., Alkureishi, M. A., Ukabiala, O., Venable, L. R., Ngooi, S. S., Staisiunas, D. D., Wroblewski, K. E., & Arora, V. M. Patient perceptions of electronic medical record use by faculty and resident physicians: A mixed methods study. Journal of General Internship in Medicine, 31(11), 1315-1322. https://doi.org/10.1007/s11606-016-3774-3.
Marikyan, D., & Papagiannidis, S. (2022). Technology acceptance model: A review. TheoryHub Book. http://open.ncl.ac.uk.
McNeill, N. (2016). Self-Efficacy and select characteristics in nurses who respond to a pediatric emergency. Walden University.
Min-Fang, T., & Chen, C. C. (2019). Understanding physicians’ adoption of electronic medical records: Healthcare technology self-efficacy, service level and risk perspectives. Comput. Stand. Interfaces, 66.
Moukoumbi Lipenguet, G., Ngoungou, E. B., Roberts, T., Ibinga, E., Amani Gnamien, P., Engohang-Ndong, J., & Wittwer, J. (2022). Evaluation of the intention to use the electronic medical record (EMR) by health professionals in healthcare facilities of Libreville and Owendo in Gabon. JAMIA open, 5(4), ooac096.
Pera, N. K., Kaur, A., & Rao, R. (2014). Perception of electronic medical records (EMRs) by nursing staff in a teaching hospital in India. international journal of advanced medical and health research, 1(2), 75-80.
Schwarzer, R. (1993). Measurement of perceived self-efficacy. Forschung an der Freien.
Shaker, H. A., Farooq, M. U., & Dhafar, K. O. (2015). Physicians’ perception about electronic medical record system in Makkah Region, Saudi Arabia. Avicenna Journal of Medicine, 5(1).
Valizadeh, M. (2021). An Investigation into the Effects of Demographic Factors on EFL Learners' Self-Efficacy Beliefs. Shanlax International Journal of Education, 9(4), 300-308.
Vuk, J., Anders, M. E., Mercado, C. C., Kennedy, R. L., Casella, J., & Steelman, S. C. (2015). Impact of simulation training on self-efficacy of outpatient health care providers to use electronic health records. International journal of medical informatics, 84(6), 423-429.
Whitten, P., Buis, L., & Mackert, M. (2007). Factors impacting providers' perceptions regarding a midwestern university-based EMR. Telemedicine and e-Health, 13(4), 391-398.
Xie, Z. F., Wei, Q. F., & Zheng, X. L. (2017). Development of health education evaluation system for patients with colostomy based on KAP model. Chinese Journal of Health Education, 33(6), 544-547.