Nurses’ Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia
Abstract
:1. Introduction
2. Materials and Methods
2.1. Design and Setting
2.2. Sample
2.3. Instrument
2.4. Data Collection
2.5. Ethical Considerations
2.6. Data Analysis
3. Results
3.1. Participants’ Sociodemographic and Work-Related Characteristics
3.2. Nurses’ Attitudes toward EHRs
3.3. Relationship between Nurses’ Sociodemographic and Work-Related Factors and Their Attitudes toward Ehrs
3.4. Independent Factors of Nurses’ Attitudes toward EHRs
4. Discussion
4.1. Limitations
4.2. Implications for Nursing Practice
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Al Otaybi, H.F.; Al-Raddadi, R.M.; Bakhamees, F.H. Performance, Barriers, and Satisfaction of Healthcare Workers Toward Electronic Medical Records in Saudi Arabia: A National Multicenter Study. Cureus 2022, 14, e21899. [Google Scholar] [CrossRef] [PubMed]
- Vos, J.F.J.; Boonstra, A.; Kooistra, A.; Seelen, M.; van Offenbeek, M. The influence of electronic health record use on collaboration among medical specialties. BMC Health Serv. Res. 2020, 20, 676. [Google Scholar] [CrossRef] [PubMed]
- Vaidotas, M.; Yokota, P.K.O.; Negrini, N.M.M.; Leiderman, D.B.D.; Souza, V.P.; Santos, O.; Wolosker, N. Medication errors in emergency departments: Is electronic medical record an effective barrier? Einstein 2019, 17, eGS4282. [Google Scholar] [CrossRef] [PubMed]
- Bjerkan, J.; Valderaune, V.; Olsen, R.M. Patient Safety Through Nursing Documentation: Barriers Identified by Healthcare Professionals and Students. Front. Comput. Sci. 2021, 3, 624555. [Google Scholar] [CrossRef]
- Salameh, B.; Eddy, L.L.; Batran, A.; Hijaz, A.; Jaser, S. Nurses’ Attitudes Toward the Use of an Electronic Health Information System in a Developing Country. SAGE Open Nurs. 2019, 5, 2377960819843711. [Google Scholar] [CrossRef] [PubMed]
- AlSadrah, S.A. Electronic medical records and health care promotion in Saudi Arabia. Saudi Med. J. 2020, 41, 583–589. [Google Scholar] [CrossRef]
- Ramoo, V.; Kamaruddin, A.; Wan Nawawi, W.N.F.; Che, C.C.; Kavitha, R. Nurses’ Perception and Satisfaction Toward Electronic Medical Record System. Florence Nightingale J. Nurs. 2023, 31, 2–10. [Google Scholar] [CrossRef]
- Arikan, F.; Kara, H.; Erdogan, E.; Ulker, F. Barriers to Adoption of Electronic Health Record Systems from the Perspective of Nurses: A Cross-sectional Study. Comput. Inform. Nurs. 2021, 40, 236–243. [Google Scholar] [CrossRef]
- Alzghaibi, H.A.; Hutchings, H.A. Exploring facilitators of the implementation of electronic health records in Saudi Arabia. BMC Med. Inform. Decis. Mak. 2022, 22, 321. [Google Scholar] [CrossRef]
- Noor, A. The Utilization of E-Health in the Kingdom of Saudi Arabia. Int. Res. J. Eng. Technol. 2019, 6, 1229–1239. [Google Scholar]
- Abdullah Alharbi, R. Adoption of electronic health records in Saudi Arabia hospitals: Knowledge and usage. J. King Saud. Univ. -Sci. 2023, 35, 102470. [Google Scholar] [CrossRef]
- Sonkamble, R.G.; Bongale, A.M.; Phansalkar, S.; Sharma, A.; Rajput, S. Secure Data Transmission of Electronic Health Records Using Blockchain Technology. Electronics 2023, 12, 1015. [Google Scholar] [CrossRef]
- Graber, M.L.; Byrne, C.; Johnston, D. The impact of electronic health records on diagnosis. Diagnosis 2017, 4, 211–223. [Google Scholar] [CrossRef] [PubMed]
- Manca, D.P. Do electronic medical records improve quality of care? Yes. Can. Fam. Physician 2015, 61, 846–847. [Google Scholar] [PubMed]
- Tsai, C.H.; Eghdam, A.; Davoody, N.; Wright, G.; Flowerday, S.; Koch, S. Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content. Life 2020, 10, 327. [Google Scholar] [CrossRef]
- Almulhem, J.A.; Aldekhyyel, R.N.; Binkheder, S.; Temsah, M.-H.; Jamal, A. Stress and Burnout Related to Electronic Health Record Use among Healthcare Providers during the COVID-19 Pandemic in Saudi Arabia: A Preliminary National Randomized Survey. Healthcare 2021, 9, 1367. [Google Scholar] [CrossRef]
- Medani, K.T.; Ahmed, S.M.; Sami, W.; Ahmed, S.M.; Mohamed, E.Y.; Abdalla, S.M.; Abdelrahman, H.H. Use of electronic health records among Saudi and Non—Saudi health providers—A comparative study at a secondary hospital, Saudi Arabia. J. Pak. Med. Assoc. 2020, 70, 1591–1595. [Google Scholar] [CrossRef]
- Hazazi, A.; Wilson, A. Leveraging electronic health records to improve management of noncommunicable diseases at primary healthcare centres in Saudi Arabia: A qualitative study. BMC Fam. Pract. 2021, 22, 106. [Google Scholar] [CrossRef]
- Ministry of Health. National E-Health Strategy. Available online: https://www.moh.gov.sa/en/Ministry/nehs/Pages/default.aspx (accessed on 15 June 2023).
- Abed, W.H.; Abu Shosha, G.M.; Oweidat, I.A.; Saleh, R.I.; Nashwan, A.J. Jordanian nurses’ attitudes toward using electronic health records during COVID-19 pandemic. Inform. Med. Unlocked 2022, 34, 101102. [Google Scholar] [CrossRef]
- Kruse, C.S.; Kristof, C.; Jones, B.; Mitchell, E.; Martinez, A. Barriers to Electronic Health Record Adoption: A Systematic Literature Review. J. Med. Syst. 2016, 40, 252. [Google Scholar] [CrossRef]
- Polit, D.F.; Beck, C.T. Essentials of Nursing Research: Appraising Evidence for Nursing Practice, 8th ed.; Wolters Kluwer Health /Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2014. [Google Scholar]
- Sullivan, K.M.; Dean, A.; Soe, M.M. OpenEpi: A web-based epidemiologic and statistical calculator for public health. Public. Health Rep. 2009, 124, 471–474. [Google Scholar] [CrossRef] [PubMed]
- Sarfaraz, S.; Shabbir, J.; Mudasser, M.A.; Khurshid, Z.; Al-Quraini, A.A.A.; Abbasi, M.S.; Ratnayake, J.; Zafar, M.S. Knowledge and Attitude of Dental Practitioners Related to Disinfection during the COVID-19 Pandemic. Healthcare 2020, 8, 232. [Google Scholar] [CrossRef]
- Hosgor, H.; Yaman, M. Investigation of the relationship between psychological resilience and job performance in Turkish nurses during the Covid-19 pandemic in terms of descriptive characteristics. J. Nurs. Manag. 2022, 30, 44–52. [Google Scholar] [CrossRef] [PubMed]
- Aaker, D.A.; Kumar, V.; Day, G.S. Marketing Research, 9th ed.; John Wiley & Sons: Hoboken, NJ, USA, 2007. [Google Scholar]
- Stronge JH, Brodt A: Assessment of nurses’ attitudes toward computerization. Comput. Nurs. 1985, 3, 154–158.
- Alquraini, H.; Alhashem, A.M.; Shah, M.A.; Chowdhury, R.I. Factors influencing nurses’ attitudes towards the use of computerized health information systems in Kuwaiti hospitals. J. Adv. Nurs. 2007, 57, 375–381. [Google Scholar] [CrossRef]
- Stockton, A.H.; Verhey, M.P. A psychometric examination of the Stronge-Brodt Nurses’ Attitudes Toward Computers Questionnaire. Comput. Nurs. 1995, 13, 109–113. [Google Scholar]
- Sultana, N. Nurses’ attitudes towards computerization in clinical practice. J. Adv. Nurs. 1990, 15, 696–702. [Google Scholar] [CrossRef]
- Babbie, E.; Wagner, W.E., III; Zaino, J. Adventures in Social Research: Data Analysis using IBM SPSS Statistics; Sage Publications: New York, NJ, USA, 2022. [Google Scholar]
- Mukhtar, A.F.; Abdul Kadir, A.; Mohd Noor, N.; Mohammad, A.H. Knowledge and Attitude on Childhood Vaccination among Healthcare Workers in Hospital Universiti Sains Malaysia. Vaccines 2022, 10, 1017. [Google Scholar] [CrossRef]
- Mishra, P.; Pandey, C.M.; Singh, U.; Gupta, A.; Sahu, C.; Keshri, A. Descriptive statistics and normality tests for statistical data. Ann. Card Anaesth. 2019, 22, 67–72. [Google Scholar]
- Zhang, B.; Zhang, Y. Mann-Whitney U test and Kruskal-Wallis test should be used for comparisons of differences in medians, not means: Comment on the article by van der Helm-van Mil et al. Arthritis Rheum 2009, 60, 1565. [Google Scholar] [CrossRef]
- Abu Raddaha, A.H. Nurses’ perceptions about and confidence in using an electronic medical record system. Proc. Singap. Healthc. 2018, 27, 110–117. [Google Scholar] [CrossRef]
- Tubaishat, A. Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model. Inform. Health Soc. Care 2018, 43, 379–389. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, O.T.; Shah, S.; Gartland, A.J.; Parekh, A.; Turner, K.; Feldman, S.S.; Merlo, L.J. Factors associated with nurse well-being in relation to electronic health record use: A systematic review. J. Am. Med. Inform. Assoc. 2021, 28, 1288–1297. [Google Scholar] [CrossRef]
- Abu Raddaha, A. Nurses’ characteristics and perceptions toward using the electronic health record system as predictors of clinical nursing performance improvement. Clin. Nurs. Stud. 2017, 5, 32–41. [Google Scholar] [CrossRef]
- Jedwab, R.M.; Hutchinson, A.M.; Manias, E.; Calvo, R.A.; Dobroff, N.; Glozier, N.; Redley, B. Nurse Motivation, Engagement and Well-Being before an Electronic Medical Record System Implementation: A Mixed Methods Study. Int. J. Environ. Res. Public Health 2021, 18, 2726. [Google Scholar] [CrossRef] [PubMed]
- Topaz, M.; Ronquillo, C.; Peltonen, L.M.; Pruinelli, L.; Sarmiento, R.F.; Badger, M.K.; Ali, S.; Lewis, A.; Georgsson, M.; Jeon, E.; et al. Nurse Informaticians Report Low Satisfaction and Multi-level Concerns with Electronic Health Records: Results from an International Survey. AMIA Annu. Symp. Proc. 2016, 10, 2016–2025. [Google Scholar]
- Sibiya, M.N.; Akinyemi, O.R.; Oladimeji, O. Computer Skills and Electronic Health Records (EHRs) in a State Tertiary Hospital in Southwest Nigeria. Epidemiologia 2023, 4, 137–147. [Google Scholar] [CrossRef]
- Banihani, S.; Al Qadire, M.; E’Leimat, D.A. Attitudes of Jordanian Oncology Nurses Toward Computerization. J. Cancer Educ. 2021, 36, 345–349. [Google Scholar] [CrossRef] [PubMed]
- Lindén-Lahti, C.; Kivivuori, S.-M.; Lehtonen, L.; Schepel, L. Implementing a New Electronic Health Record System in a University Hospital: The Effect on Reported Medication Errors. Healthcare 2022, 10, 1020. [Google Scholar] [CrossRef]
- Mugomeri, E.; Chatanga, P.; Maibvise, C.; Masitha, M. Assessment of Computer Literacy of Nurses in Lesotho. Comput. Inform. Nurs. 2016, 34, 528–534. [Google Scholar] [CrossRef]
- Tsarfati, B.; Cojocaru, D. The Importance of Receiving Training in Computerized Technology for Nurses to Maintain Sustainability in the Health System. Sustainability 2022, 14, 15958. [Google Scholar] [CrossRef]
- Tubaishat, A. The effect of electronic health records on patient safety: A qualitative exploratory study. Inform. Health Soc. Care 2019, 44, 79–91. [Google Scholar] [CrossRef] [PubMed]
- Abdulai, A.F.; Adam, F. Health providers’ readiness for electronic health records adoption: A cross-sectional study of two hospitals in northern Ghana. PLoS ONE 2020, 15, e0231569. [Google Scholar] [CrossRef] [PubMed]
- Huang, H.C.; Ho, Y.C. Applying Intelligent Technology in Gender Competence Training for Nurses. Hu Li Za Zhi 2019, 66, 29–35. [Google Scholar]
- Kotcherlakota, S.; Kupzyk, K.A.; Rejda, P. Years of Experience as a Predictor of Nurse Faculty Technology Use. J. Nurs. Educ. 2017, 56, 115–119. [Google Scholar] [CrossRef] [PubMed]
- Huber, P.; Schubert, H.J. Attitudes about work engagement of different generations-A cross-sectional study with nurses and supervisors. J. Nurs. Manag. 2019, 27, 1341–1350. [Google Scholar] [CrossRef]
- Ifinedo, P. The moderating effects of demographic and individual characteristics on nurses’ acceptance of information systems: A canadian study. Int. J. Med. Inform. 2016, 87, 27–35. [Google Scholar] [CrossRef]
- Elliott, K.; Marks-Maran, D.; Bach, R. Teaching student nurses how to use electronic patient records through simulation: A case study. Nurse Educ. Pract. 2018, 30, 7–12. [Google Scholar] [CrossRef]
- Weinschreider, J.; Sisk, H.; Jungquist, C. Electronic Health Record Knowledge, Skills, and Attitudes Among Newly Graduated Nurses: A Scoping Review. J. Contin. Educ. Nurs. 2022, 53, 505–512. [Google Scholar] [CrossRef]
- Strudwick, G.; Tanimizu, A.; Saraswathy, S.N.; Yousef, S.; Nickerson, V.; Bloomberg, L.S. A Scoping Review of Research Involving Nurses and Electronic Health Records in Middle Eastern Countries. Int. Arch. Nurs. Health Care 2015, 1, 1–7. [Google Scholar] [CrossRef]
- Secginli, S.; Erdogan, S.; Monsen, K.A. Attitudes of health professionals towards electronic health records in primary health care settings: A questionnaire survey. Inform. Health Soc. Care 2014, 39, 15–32. [Google Scholar] [CrossRef] [PubMed]
- Cusson, R.M.; Meehan, C.; Bourgault, A.; Kelley, T. Educating the next generation of nurses to be innovators and change agents. J. Prof. Nurs. 2020, 36, 13–19. [Google Scholar] [CrossRef] [PubMed]
- Juliet, V.S.; Sudha, M. Perception and Attitude of Staff Nurses towards Electronic Health Records. Percept. Attitude Staff. Nurses Towards Electron. Health Rec. 2013, 3, 91–97. [Google Scholar]
- Graham, H.L.; Nussdorfer, D.; Beal, R. Nurse Attitudes Related to Accepting Electronic Health Records and Bedside Documentation. Comput. Inform. Nurs. 2018, 36, 515–520. [Google Scholar] [CrossRef] [PubMed]
- Aldosari, B.; Al-Mansour, S.; Aldosari, H.; Alanazi, A. Assessment of factors influencing nurses acceptance of electronic medical record in a Saudi Arabia hospital. Inform. Med. Unlocked 2018, 10, 82–88. [Google Scholar] [CrossRef]
- Cho, Y.; Kim, M.; Choi, M. Factors associated with nurses’ user resistance to change of electronic health record systems. BMC Med. Inform. Decis. Mak. 2021, 21, 218. [Google Scholar] [CrossRef]
Characteristics | n | (%) | |
---|---|---|---|
Sex | |||
Male | 93 | (31.3) | |
Female | 204 | (68.7) | |
Age | Mean ± SD | 33.84 ± 6.61 | |
≤30 | 92 | (31.0) | |
31–40 | 161 | (54.2) | |
≥40 | 44 | (14.8) | |
Level of education | |||
Diploma | 70 | (23.6) | |
Bachelor | 174 | (58.6) | |
Master | 53 | (17.8) | |
Nationality | Saudi | 188 | (63.3) |
Non-Saudi | 109 | (36.7) | |
Experience (years) | Mean ± SD | 8.58 ± 5.73 | |
Less than 5 | 85 | (28.6) | |
5–10 | 112 | (37.7) | |
More than 10 | 100 | (33.7) | |
Previous computer experience | |||
Yes | 235 | (79.1) | |
No | 62 | (20.9) | |
Working unit | |||
Inpatient units | 62 | (20.9) | |
Outpatient units | 42 | (14.1) | |
ICUs | 107 | (36.0) | |
Others | 86 | (29.0) | |
Position | |||
Supervising nurses | 58 | (19.5) | |
Senior staff nurses | 64 | (21.5) | |
Staff nurses | 175 | (58.9) |
# | Item | Strongly Disagree | Disagree | Uncertain | Agree | Strongly Agree | Mean ± SD |
---|---|---|---|---|---|---|---|
1 | A computer increases costs by increasing the nurses’ workload. | 5 (1.7) | 66 (22.2) | 80 (26.9) | 111 (37.4) | 35 (11.8) | 3.35 ± 1.0 |
2 | Computers cause a decrease in communication between hospital departments. | 19 (6.4) | 68 (22.9) | 75 (25.3) | 96 (32.3) | 39 (13.1) | 3.22 ± 1.1 |
3 | Computers will allow the nurse more time for the professional tasks for which he or she is trained. | 8 (2.7) | 18 (6.1) | 54 (18.2) | 167 (56.2) | 50 (16.8) | 3.78 ± 0.88 |
4 | Part of the increase in the costs of healthcare is because of computers. | 7 (2.4) | 27 (9.1) | 76 (25.6) | 142 (47.8) | 45 (15.2) | 3.64 ± 0.92 |
5 | The time spent using a computer is out of proportion to the benefits. | 6 (2.0) | 49 (16.5) | 84 (28.3) | 124 (41.8) | 34 (11.4) | 3.44 ± 0.96 |
6 | Computers represent a violation of patient privacy. | 21 (7.1) | 72 (24.2) | 58 (19.5) | 116 (39.1) | 30 (10.1) | 3.20 ± 1.13 |
7 | Only one person at a time can use a computer terminal; therefore, staff efficiency is inhibited. | 9 (3.0) | 40 (13.5) | 80 (26.9) | 128 (43.1) | 40 (13.5) | 3.50 ± 0.98 |
8 | The computerization of nursing data offers nurses a remarkable opportunity to improve patient care. | 2 (0.7) | 10 (3.4) | 50 (16.8) | 181 (60.9) | 54 (18.2) | 3.92 ± 0.73 |
9 | Computers contain too much personal data to be used in an area as open as a nursing station. | 6 (2.0) | 30 (10.1) | 68 (22.9) | 148 (49.8) | 45 (15.2) | 3.65 ± 0.92 |
10 | Computers cause nurses to give less time to quality patient care. | 14 (4.7) | 63 (21.2) | 65 (21.9) | 122 (41.1) | 33 (11.1) | 3.32 ± 1.07 |
11 | If I had my way, nurses would never have to use computers. | 41 (13.8) | 86 (29.0) | 51 (17.2) | 85 (28.6) | 34 (11.4) | 2.94 ± 1.26 |
12 | Computers should only be used in the financial department. | 56 (18.9) | 73 (24.6) | 37 (12.5) | 83 (27.9) | 48 (16.2) | 2.97 ± 1.38 |
13 | Computers make nurses’ jobs easier. | 4 (1.3) | 18 (6.1) | 43 (14.5) | 157 (52.9) | 75 (25.3) | 3.94 ± 0.87 |
14 | Paperwork for nurses has been greatly reduced by the use of computers. | 5 (1.7) | 15 (5.1) | 38 (12.8) | 155 (52.2) | 84 (28.3) | 4.00 ± 0.87 |
15 | Orientation for new employees takes longer because of computers and, therefore, unnecessary work delays occur. | 15 (5.1) | 51 (17.2) | 72 (24.2) | 118 (39.7) | 41 (13.8) | 3.40 ± 1.08 |
16 | Nursing information does not lend itself to computers. | 16 (5.4) | 41 (13.8) | 78 (26.3) | 131 (44.1) | 31 (10.4) | 3.40 ± 1.02 |
17 | Computers save steps and allow the nursing staff to become more efficient. | 4 (1.3) | 8 (2.7) | 52 (17.5) | 167 (56.2) | 66 (22.2) | 3.95 ± 0.79 |
18 | The more computers in an institution, the less the number of jobs for employees. | 9 (3.0) | 47 (15.8) | 76 (25.6) | 120 (40.4) | 45 (15.2) | 3.48 ± 1.02 |
19 | Increased computer usage will allow nurses more time to give patient care. | 7 (2.4) | 28 (9.4) | 67 (22.6) | 136 (45.8) | 59 (19.9) | 3.71 ± 0.96 |
20 | Because of computers, nurses will face more lawsuits. | 10 (3.4) | 48 (16.2) | 82 (27.6) | 121 (40.7) | 36 (12.1) | 3.42 ± 1.00 |
Variables | n | Mean Rank | p-Value | |
---|---|---|---|---|
Sex a | ||||
Male | 93 | 173.94 | <0.001 * | |
Female | 204 | 137.63 | ||
Age b | ||||
≤30 | 92 | 166.62 | 0.044 * | |
31–40 | 161 | 143.52 | ||
≥40 | 44 | 132.19 | ||
Previous computer experience a | ||||
Yes | 235 | 175.97 | <0.001 * | |
No | 62 | 46.77 | ||
Level of education b | ||||
Diploma | 70 | 122.79 | 0.003 * | |
Bachelor | 174 | 151.48 | ||
Master | 53 | 175.47 | ||
Nationality a | Saudi | 188 | 159.31 | 0.007 * |
Non-Saudi | 109 | 131.22 | ||
Experience (years) b | ||||
Less than five | 85 | 168.37 | 0.048 * | |
5–10 | 112 | 141.78 | ||
More than 10 | 100 | 140.62 | ||
Working unit b | ||||
Inpatient units | 62 | 157.79 | 0.215 | |
Outpatient units | 42 | 163.94 | ||
ICU | 107 | 135.97 | ||
others | 86 | 151.58 | ||
Position b | ||||
Supervising nurses | 58 | 154.78 | 0.071 | |
Senior staff nurses | 64 | 127.16 | ||
Staff nurses | 175 | 155.07 |
Factor | β | 95% CI for β | p-Value | |
---|---|---|---|---|
Sex | ||||
Male | Reference | |||
Female | −2.874 | −5.592–−0.157 | 0.038 | |
Age | −0.075 | −0.281–0.132 | 0.477 | |
Level of education | ||||
Diploma | −6.667 | −10.467–2.867 | 0.001 | |
Bachelor | −3.588 | −6.928–0.248 | 0.035 | |
Master | Reference | |||
Nationality | Saudi | Reference | ||
Non-Saudi | −1.864 | −4.830–1.102 | 0.217 | |
Previous computer | Yes | Reference | ||
No | −16.588 | −19.561–13.615 | 0.000 |
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Share and Cite
Alrasheeday, A.M.; Alshammari, B.; Alkubati, S.A.; Pasay-an, E.; Albloushi, M.; Alshammari, A.M. Nurses’ Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia. Healthcare 2023, 11, 2393. https://doi.org/10.3390/healthcare11172393
Alrasheeday AM, Alshammari B, Alkubati SA, Pasay-an E, Albloushi M, Alshammari AM. Nurses’ Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia. Healthcare. 2023; 11(17):2393. https://doi.org/10.3390/healthcare11172393
Chicago/Turabian StyleAlrasheeday, Awatif M., Bushra Alshammari, Sameer A. Alkubati, Eddieson Pasay-an, Monirah Albloushi, and Awayed M. Alshammari. 2023. "Nurses’ Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia" Healthcare 11, no. 17: 2393. https://doi.org/10.3390/healthcare11172393
APA StyleAlrasheeday, A. M., Alshammari, B., Alkubati, S. A., Pasay-an, E., Albloushi, M., & Alshammari, A. M. (2023). Nurses’ Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia. Healthcare, 11(17), 2393. https://doi.org/10.3390/healthcare11172393