PROMOTING SUSTAINABLE HEALTHCARE IN THE KINGDOM OF SAUDI ARABIA VIA IMPROVED THERAPEUTIC COMMUNICATION WITH ELDERLY PATIENTS
Main Article Content
Keywords
health informatics; psychiatric nursing; therapeutic communication; fuzzy logic; computational assessment
Abstract
In order to provide high-quality care, effective communication is essential in nursing, especially when dealing with elderly patients. By providing elderly patients in Saudi Arabia with mental nursing care, this study aims to address significant voids in the current body of knowledge by highlighting the significance of therapeutic communication. Expanding upon the study's groundwork, which acknowledges the multifaceted challenges posed by cultural, religious, and linguistic diversity, this investigation employed a meticulous research approach and consulted with an extensive panel of senior healthcare professionals serving as authorities. A range of therapeutic communication approaches employed by mental health nurses are examined through comprehensive surveys and observations. The results of this empirical investigation are expected to contribute significantly to the field by shedding light on the most effective approaches to enhancing communication between nurses and geriatric patients. Simulation-Based Training is identified as the most feasible method in the study, which may have significant ramifications for enhancing the quality of care provided to elderly patients in Saudi Arabia. This research establishes a foundation for substantial progressions in healthcare methodologies, specifically in the field of mental health nursing, ultimately benefiting geriatric patients and nurses through the promotion of trust, comprehension, and enhanced communication.
Downloads
References
1. Sharma, N.; Gupta, V. Therapeutic Communication. In StatPearls; StatPearls Publishing: St. Petersburg, FL, USA, 2022. 2. Wachtel, P.L. Therapeutic Communication: Principles and Effective Practice; Guilford Press: New York, NY, USA, 1993. 3. O’Brien, A.J. The therapeutic relationship: Historical development and contemporary significance. J. Psychiatr. Ment. Health Nurs. 2001, 8, 129–137. [CrossRef] 4. McCormack, L.A.; Treiman, K.; Rupert, D.; Williams-Piehota, P.; Nadler, E.; Arora, N.K.; Lawrence, W.; Street, R.L., Jr. Measuring patient-centered communication in cancer care: A literature review and the development of a systematic approach. Soc. Sci. Med. 2011, 72, 1085–1095. [CrossRef] 5. Janagama, S.R.; Strehlow, M.; Gimkala, A.; Rao, G.R.; Matheson, L.; Mahadevan, S.; Newberry, J.A.; Newberry, J. Critical communication: A cross-sectional study of signout at the prehospital and hospital interface. Cureus 2020, 12, e7114. [CrossRef] 6. Blanch-Hartigan, D.; Chawla, N.; Beckjord, E.I.; Forsythe, L.P.; de Moor, J.S.; Hesse, B.W.; Arora, N.K. Cancer survivors’ receipt of treatment summaries and implications for patient-centered communication and quality of care. Patient Educ. Couns. 2015, 98, 1274–1279. [CrossRef] [PubMed] 7. Arakelian, E.; Swenne, C.L.; Lindberg, S.; Rudolfsson, G.; von Vogelsang, A.C. The meaning of person-centred care in the perioperative nursing context from the patient’s perspective—An integrative review. J. Clin. Nurs. 2017, 26, 2527–2544. [CrossRef] 8. Stubbs, K.H. Can’t Get Through: 8 Barriers to Communication; Pelican Publishing Company: Gretna, LA, USA, 2003. 9. Harper, R.G.; Wiens, A.N.; Matarazzo, J.D. Nonverbal Communication: The State of the Art; John Wiley & Sons: Hoboken, NJ, USA, 1978. 10. Rahman, R.; Qattan, A. Vision 2030 and sustainable development: State capacity to revitalize the healthcare system in Saudi Arabia. INQUIRY J. Health Care Organ. Provis. Financ. 2021, 58, 0046958020984682. [CrossRef] [PubMed] 11. Alshammari, M.; Duff, J.; Guilhermino, M. Barriers to nurse–patient communication in Saudi Arabia: An integrative review. BMC Nurs. 2019, 18, 61. [CrossRef] [PubMed] 12. Martin, C.T.; Chanda, N. Mental health clinical simulation: Therapeutic communication. Clin. Simul. Nurs. 2016, 12, 209–214. [CrossRef] 13. Arthur, D.; Chan, H.K.; Fung, W.Y.; Wong, K.Y.; Yeung, K.W. Therapeutic communication strategies used by Hong Kong mental health nurses with their Chinese clients. J. Psychiatr. Ment. Health Nurs. 1999, 6, 29–36. [CrossRef] 14. Hammer, M.; Fox, S.; Hampton, M.D. Use of a therapeutic communication simulation model in pre-licensure psychiatric mental health nursing: Enhancing strengths and transforming challenges. Nurs. Health 2014, 2, 1–8. [CrossRef] 15. Joung, J.; Park, Y. Exploring the therapeutic communication practical experience of mental health nurses. J. Korean Acad. Psychiatr. Ment. Health Nurs. 2019, 28, 321–332. [CrossRef] 16. Rønning, S.B.; Bjørkly, S. The use of clinical role-play and reflection in learning therapeutic communication skills in mental health education: An integrative review. Adv. Med. Educ. Pract. 2019, 10, 415–425. [CrossRef] 17. Rosenberg, S.; Gallo-Silver, L. Therapeutic communication skills and student nurses in the clinical setting. Teach. Learn. Nurs. 2011, 6, 2–8. [CrossRef] 18. Webster, D. Using standardized patients to teach therapeutic communication in psychiatric nursing. Clin. Simul. Nurs. 2014, 10, e81–e86. [CrossRef] 19. Canales, M. Narrative interaction: Creating a space for therapeutic communication. Issues Ment. Health Nurs. 1997, 18, 477–494. [CrossRef] [PubMed] 20. Levy-Storms, L. Therapeutic communication training in long-term care institutions: Recommendations for future research. Patient Educ. Couns. 2008, 73, 8–21. [CrossRef] 21. Hwang, C.L.; Yoon, K. Methods for multiple attribute decision making. In Multiple Attribute Decision Making; Springer: Berlin/Heidelberg, Germany, 1981; pp. 58–191. 22. Ferri, P.; Muzzalupo, J.; Di Lorenzo, R. Patients’ perception of dignity in an Italian general hospital: A cross-sectional analysis. BMC Health Serv. Res. 2015, 15, 41. [CrossRef] 23. McGilton, K.; Robinson, H.I.; Boscart, V.; Spanjevic, L. Communication enhancement: Nurse and patient satisfaction outcomes in a complex continuing care facility. J. Adv. Nurs. 2006, 54, 35–44. [CrossRef] 24. Ansari, M.T.J.; Agrawal, A.; Khan, R.A. DURASec: Durable Security Blueprints for Web-Applications Empowering Digital India Initiative. EAI Endorsed Trans. Scalable Inf. Syst. 2022, 9, e7. [CrossRef] 25. Wang, J.J.; Jing, Y.Y.; Zhang, C.F.; Zhao, J.H. Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renew. Sustain. Energy Rev. 2009, 13, 2263–2278. [CrossRef] 26. Costanza, R.; Fisher, B.; Ali, S.; Beer, C.; Bond, L.; Boumans, R.; Danigelis, N.L.; Dickinson, J.; Elliott, C.; Farley, J.; et al. Quality of life: An approach integrating opportunities, human needs, and subjective well-being. Ecol. Econ. 2007, 61, 267–276. [CrossRef] 27. Bell, M.L.; Hobbs, B.F.; Ellis, H. The use of multi-criteria decision-making methods in the integrated assessment of climate change: Implications for IA practitioners. Socio-Econ. Plan. Sci. 2003, 37, 289–316. [CrossRef] 28. Ansari, M.T.J.; Khan, N.A. Worldwide COVID-19 Vaccines Sentiment Analysis through Twitter Content. Electron. J. Gen. Med. 2021, 18, em329. [CrossRef] 29. Pohekara, S.D.; Ramachandran, M. Application of multi-criteria decision making to sustainable energy planning—A review. Renew. Sustain. Energy Rev. 2004, 8, 365–381. [CrossRef] 30. Sun, C.C. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst. Appl. 2010, 37, 7745–7754. [CrossRef] 31. Pereira, J.M.; Duckstein, L. A multiple criteria decision-making approach to GIS-based land suitability evaluation. Int. J. Geogr. Inf. Sci. 1993, 7, 407–424. [CrossRef] 32. Deng, H.; Yeh, C.H.; Willis, R.J. Inter-company comparison using modified TOPSIS with objective weights. Comput. Oper. Res. 2000, 27, 963–973. [CrossRef] 33. Yang, S.Y.; Kang, M.K. Efficacy testing of a multi-access metaverse-based early onset schizophrenia nursing simulation program: A quasi-experimental study. Int. J. Environ. Res. Public Health 2022, 20, 449. [CrossRef] 34. Zavertnik, J.E.; Huff, T.A.; Munro, C.L. Innovative approach to teaching communication skills to nursing students. J. Nurs. Educ. 2010, 49, 65–71. [CrossRef] 35. Sezgin, M.G.; Bektas, H. Effectiveness of interprofessional simulation-based education programs to improve teamwork and communication for students in the healthcare profession: A systematic review and meta-analysis of randomized controlled trials. Nurse Educ. Today 2022, 120, 105619. [CrossRef] 36. Almotairi, K.H. Application of internet of things in healthcare domain. J. Umm Al-Qura Univ. Eng. Archit. 2023, 14, 1–12. [CrossRef] 37. Alamir, M.; AlGhamdi, M.; Collado-Mesa, F.; Abdel-Mottaleb, M. Difference-of-Gaussian generative adversarial network for segmenting breast arterial calcifications in mammograms. Expert Syst. Appl. 2023, 217, 119506. [CrossRef] 38. Elshaweesh, O.; Wedyan, M.; Alturki, R.; Ali, H. Using the internet of things mobile to keep the user’s back straight while sitting. Mob. Inf. Syst. 2021, 2021, 9627084. [CrossRef] 39. Alturki, R.; Alharbi, A.I.; AlQahtani, S.S.; Khan, S.; Truong Hoang, V. A proposed application for controlling overweight and obesity within the framework of the internet of things. Mob. Inf. Syst. 2021, 2021, 7109099. [CrossRef] 40. Alharbi, A.I.; Gay, V.; AlGhamdi, M.J.; Alturki, R.; Alyamani, H.J. Towards an application helping to minimize medication error rate. Mob. Inf. Syst. 2021, 2021, 9221005. [CrossRef] 41. Ibrahim, M.; Wedyan, M.; Alturki, R.; Khan, M.A.; Al-Jumaily, A. Augmentation in healthcare: Augmented biosignal using deep learning and tensor representation. J. Healthc. Eng. 2021, 2021, 6624764. [CrossRef] 42. Zhao, T.; Zhang, J.; Wang, Z.; Alturki, R. An improved deep learning mechanism for EEG recognition in sports health informatics. Neural Comput. Appl. 2023, 35, 14577–14589. [CrossRef]
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Transfer of Copyright and Permission to Reproduce Parts of Published Papers.
Authors retain the copyright for their published work. No formal permission will be required to reproduce parts (tables or illustrations) of published papers, provided the source is quoted appropriately and reproduction has no commercial intent. Reproductions with commercial intent will require written permission and payment of royalties.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.