International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
line decor
  
line decor

 Volume 11, Issue 6 (June 2024), Pages: 37-43

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

 Original Research Paper

Identifying educational needs and knowledge gaps in healthcare professionals for effective management of acute myocardial infarction

 Author(s): 

 Fady Yousef, Zainah Mohamed *, Gurbinder Kaur Jit Singh, Nor Haty Hassan

 Affiliation(s):

 Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-9899-7539

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.06.004

 Abstract

This study aims to examine the educational needs and knowledge gaps of healthcare professionals in treating Acute Myocardial Infarction (AMI), a leading cause of death worldwide due to its impact on the heart muscles and blood vessels. Although healthcare workers generally understand how to manage AMI, there are crucial areas where their knowledge could be improved. The research involved 65 healthcare professionals from Jordan University Hospital, collecting data through surveys with structured questions and analyzing it with descriptive statistics. The findings indicate that while nurses are proficient in recognizing symptoms and managing care for AMI patients, including medication administration and patient education, they require more resources and training. Specifically, they need better training in oxygen therapy, emergency procedures, and advising patients on lifestyle changes. The study highlights the need for targeted, patient-focused education to address these gaps and improve AMI management in hospitals.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Acute myocardial infarction, Healthcare professionals, Educational needs, Knowledge gaps, Training and resources

 Article history

 Received 21 December 2023, Received in revised form 21 May 2024, Accepted 24 May 2024

 Acknowledgment 

The authors express their gratitude to Jordan University Hospital and its dedicated staff for facilitating the accomplishment of this study.

 Compliance with ethical standards

 Ethical considerations

Approval to conduct the study was granted by the relevant university ethics committee (JEP-2022-812) and the hospital involved (IRB-JUH 30/2023). The first researcher contacted the director of the hospital to explain the study and seek permission to enter the hospital for the purpose of gathering data. These healthcare professionals were given explanations regarding the purpose and significance of conducting the research. Healthcare professionals who agreed to participate in this study were asked to sign written informed consent. Participation was voluntary, and the questionnaire was anonymously answered with no possibility of research participants being identified.

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Yousef F, Mohamed Z, Singh GKJ, and Hassan NH (2024). Identifying educational needs and knowledge gaps in healthcare professionals for effective management of acute myocardial infarction. International Journal of Advanced and Applied Sciences, 11(6): 37-43

 Permanent Link to this page

 Figures

 No Figure

 Tables

 Table 1 Table 2 

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

 References (14)

  1. Andrade C (2021). The inconvenient truth about convenience and purposive samples. Indian Journal of Psychological Medicine, 43(1): 86-88. https://doi.org/10.1177/0253717620977000   [Google Scholar] PMid:34349313 PMCid:PMC8295573
  2. Chang X, Lochner A, Wang HH, Wang S, Zhu H, Ren J, and Zhou H (2021). Coronary microvascular injury in myocardial infarction: Perception and knowledge for mitochondrial quality control. Theranostics, 11(14): 6766-6785. https://doi.org/10.7150/thno.60143   [Google Scholar] PMid:34093852 PMCid:PMC8171103
  3. Choi A, Kim MJ, Sung JM, Kim S, Lee J, Hyun H, Kim HC, Kim JH, and Chang HJ et al. (2022). Development of prediction models for acute myocardial infarction at prehospital stage with machine learning based on a nationwide database. Journal of Cardiovascular Development and Disease, 9(12): 430. https://doi.org/10.3390/jcdd9120430   [Google Scholar] PMid:36547427 PMCid:PMC9784963
  4. Curry LA, Brault MA, Linnander EL, McNatt Z, Brewster AL, Cherlin E, Flieger SP, Ting HH, and Bradley EH (2018). Influencing organizational culture to improve hospital performance in the care of patients with acute myocardial infarction: A mixed-methods intervention study. BMJ Quality and Safety, 27(3): 207-217. https://doi.org/10.1136/bmjqs-2017-006989   [Google Scholar] PMid:29101292 PMCid:PMC5867431
  5. Henry TD, Tomey MI, Tamis-Holland JE, Thiele H, Rao SV, Menon V, Klein DG, Naka Y, Piña IL, Kapur NK, and Dangas GD et al. (2021). Invasive management of acute myocardial infarction complicated by cardiogenic shock: A scientific statement from the American Heart Association. Circulation, 143(15): e815-e829. https://doi.org/10.1161/CIR.0000000000000959   [Google Scholar] PMid:33657830
  6. Ibanez B, James S, Agewall S, Antunes MJ, Bucciarelli-Ducci C, Bueno H, Caforio AL, Crea F, Goudevenos JA, Halvorsen S, and Hindricks G et al. (2018). 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation. Polish Heart Journal (Kardiologia Polska), 76(2): 229-313. https://doi.org/10.5603/KP.2018.0041   [Google Scholar] PMid:29457615
  7. Jiang W, Feng M, Gao C, Li J, Gao R, and Wang W (2020). Effect of a nurse-led individualized self-management program for Chinese patients with acute myocardial infarction undergoing percutaneous coronary intervention. European Journal of Cardiovascular Nursing, 19(4): 320-329. https://doi.org/10.1177/1474515119889197   [Google Scholar] PMid:31702385
  8. Jing ZC, Zhu HD, Yan XW, Chai WZ, and Zhang S et al. (2020). Recommendations from the Peking Union Medical College Hospital for the management of acute myocardial infarction during the COVID-19 outbreak. European Heart Journal, 41(19): 1791-1794. https://doi.org/10.1093/eurheartj/ehaa258   [Google Scholar] PMid:32232396 PMCid:PMC7184505
  9. Shah AH, Puri R, and Kalra A (2019). Management of cardiogenic shock complicating acute myocardial infarction: A review. Clinical Cardiology, 42(4): 484-493. https://doi.org/10.1002/clc.23168   [Google Scholar] PMid:30815887 PMCid:PMC6712338
  10. Siedlecki SL (2020). Understanding descriptive research designs and methods. Clinical Nurse Specialist, 34(1): 8-12. https://doi.org/10.1097/NUR.0000000000000493   [Google Scholar] PMid:31789957
  11. Vallabhajosyula S, Patlolla SH, Dunlay SM, Prasad A, Bell MR, Jaffe AS, Gersh BJ, Rihal CS, Holmes Jr DR, and Barsness GW (2020). Regional variation in the management and outcomes of acute myocardial infarction with cardiogenic shock in the United States. Circulation: Heart Failure, 13(2): e006661. https://doi.org/10.1161/CIRCHEARTFAILURE.119.006661   [Google Scholar] PMid:32059628 PMCid:PMC7027926
  12. Van de Werf F, Ardissino D, Betriu A, Cokkinos DV, Falk E, Fox KA, Julian D, Lengyel M, Neumann FJ, Ruzyllo W, and Thygesen C et al. (2003). Management of acute myocardial infarction in patients presenting with ST-segment elevation. European Heart Journal, 24(1): 28-66. https://doi.org/10.1016/S0195-668X(02)00618-8   [Google Scholar] PMid:12559937
  13. Vanzella LM, Pakosh M, Oh P, and Ghisi GLM (2022). Health-related information needs and preferences for information of individuals with cardiovascular disease from underserved populations: A systematic review. Patient Education and Counseling, 105(12): 3398-3409. https://doi.org/10.1016/j.pec.2022.09.008   [Google Scholar] PMid:36167758
  14. Zhang Q, Burrage MK, Shanmuganathan M, Gonzales RA, Lukaschuk E, Thomas KE, Mills R, Leal Pelado J, Nikolaidou C, Popescu IA, and Lee YP et al. (2022). Artificial intelligence for contrast-free MRI: Scar assessment in myocardial infarction using deep learning–based virtual native enhancement. Circulation, 146(20): 1492-1503. https://doi.org/10.1161/CIRCULATIONAHA.122.060137   [Google Scholar] PMid:36124774 PMCid:PMC9662825