Diagnostic Conversation with a Neurological Patient at the Polyclinic Department: Efficient Strategies and Challenges
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Abstract
This article explores the critical aspects of conducting diagnostic conversations with neurological patients in a polyclinic setting, highlighting both effective strategies and inherent challenges. Neurological disorders often present complex symptoms, requiring precise communication to ensure accurate diagnosis and effective treatment planning. The paper outlines key strategies such as active listening, structured questioning, and empathetic communication, which enhance patient engagement and information accuracy. Special attention is given to overcoming challenges such as cognitive impairments, language barriers, and emotional distress, which can hinder the diagnostic process. Additionally, the role of interdisciplinary collaboration between neurologists, nurses, and therapists in facilitating comprehensive assessments is discussed. The article also addresses the importance of cultural sensitivity and patient-centered approaches in fostering trust and improving outcomes. Practical recommendations and case studies illustrate how healthcare professionals can navigate these challenges to enhance diagnostic accuracy and patient care quality in busy polyclinic environments.
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References
Aderinto, N., Olatunji, D., Abdulbasit, M., & Edun, M. (2023). The essential role of neuroimaging in diagnosing and managing cerebrovascular disease in Africa: a review. Annals of medicine, 55(2), 2251490. https://doi.org/10.1080/07853890.2023.2251490
Albanesi, R., & Gitto, L. (2024). Motivational dynamics and impact on performances: the case of physicians of university polyclinics in the NHS scenario. Journal of Evaluation in Clinical Practice, 30, 42-45. doi:10.1111/jep.13856
Albu, S., Vallès, M., & Kumru, H. (2023). Diagnostic challenges of functional neurological disorders after covid-19 disease or vaccination: case series and review of the literature. Acta neurologica Belgica, 123(2), 553–564. https://doi.org/10.1007/s13760-022-02140-7
Armstrong, M. J., Bedenfield, N., Rosselli, M., Curiel Cid, R. E., Kitaigorodsky, M., Galvin, J. E., …Bylund, C. L. (2024). Best Practices for Communicating a Diagnosis of Dementia: Results of a Multi-Stakeholder Modified Delphi Consensus Process. Neurology. Clinical practice, 14(1), e200223. https://doi.org/10.1212/CPJ.0000000000200223
Babaii, A., Mohammadi, E., & Sadooghiasl, A. (2021). The Meaning of the Empathetic Nurse-Patient Communication: A Qualitative Study. Journal of patient experience, 8, 23743735211056432. https://doi.org/10.1177/23743735211056432
Biglu, M. H., Nateq, F., Ghojazadeh, M., & Asgharzadeh, A. (2017). Communication Skills of Physicians and Patients’ Satisfaction. Materia socio-medica, 29(3), 192–195. https://doi.org/10.5455/msm.2017.29.192-195
Çakmak, C., & Uğurluoğlu, Ö. (2024). The Effects of Patient-Centered Communication on Patient Engagement, Health-Related Quality of Life, Service Quality Perception and Patient Satisfaction in Patients with Cancer: A Cross-Sectional Study in Türkiye. Cancer control: journal of the Moffitt Cancer Center, 31, 10732748241236327. https://doi.org/10.1177/10732748241236327
Carthon, J. M. B., Brom, H., Poghosyan, L., Daus, M., Todd, B., & Aiken, L. (2020). Supportive Clinical Practice Environments Associated With Patient-Centered Care. The journal for nurse practitioners: JNP, 16(4), 294–298. https://doi.org/10.1016/j.nurpra.2020.01.019
Del Giacco, L., Anguera, M. T., & Salcuni, S. (2020). The Action of Verbal and Non-verbal Communication in the Therapeutic Alliance Construction: A Mixed Methods Approach to Assess the Initial Interactions With Depressed Patients. Frontiers in psychology, 11, 234. https://doi.org/10.3389/fpsyg.2020.00234
Dixit, R. A., Boxley, C. L., Samuel, S., Mohan, V., Ratwani, R. M., & Gold, J. A. (2023). Electronic Health Record Use Issues and Diagnostic Error: A Scoping Review and Framework. Journal of patient safety, 19(1), e25–e30. https://doi.org/10.1097/PTS.0000000000001081
Elsey, C., Drew, P., Jones, D., Blackburn, D., Wakefield, S., Harkness, K., Venneri, A., & Reuber, M. (2015). Towards diagnostic conversational profiles of patients presenting with dementia or functional memory disorders to memory clinics. Patient education and counseling, 98(9), 1071–1077. https://doi.org/10.1016/j.pec.2015.05.021
Epstein, R. M., & Beach, M. C. (2023). “I don’t need your pills, I need your attention:” Steps toward deep listening in medical encounters. Current opinion in psychology, 53, 101685. https://doi.org/10.1016/j.copsyc.2023.101685
Espinoza Suarez, N. R., Hargraves, I., Singh Ospina, N., Sivly, A., Majka, A., & Brito, J. P. (2023). Collaborative Diagnostic Conversations Between Clinicians, Patients, and Their Families: A Way to Avoid Diagnostic Errors. Mayo Clinic proceedings. Innovations, quality & outcomes, 7(4), 291–300. https://doi.org/10.1016/j.mayocpiqo.2023.06.001
Ha, J. F., & Longnecker, N. (2010). Doctor-patient communication: a review. Ochsner journal, 10(1), 38–43.
Hadi, A., Tran, E., Nagarajan, B., & Kirpalani, A. (2024) Evaluation of ChatGPT as a diagnostic tool for medical learners and clinicians. PLoS ONE 19(7): e0307383. https://doi.org/10.1371/journal.pone.0307383
Hanna, M., & Strober, L. B. (2020). Anxiety and depression in Multiple Sclerosis (MS): Antecedents, consequences, and differential impact on well-being and quality of life. Multiple sclerosis and related disorders, 44, 102261. https://doi.org/10.1016/j.msard.2020.102261
Haribhai-Thompson, J., McBride-Henry, K., Hales, C., & Rook, H. (2022). Understanding of empathetic communication in acute hospital settings: a scoping review. BMJ open, 12(9), e063375. https://doi.org/10.1136/bmjopen-2022-063375
Hickner, J., Thompson, P. J., Wilkinson, T., Epner, P., Sheehan, M., Pollock, A. M., Lee, J., Duke, C. C., Jackson, B. R., & Taylor, J. R. (2014). Primary care physicians’ challenges in ordering clinical laboratory tests and interpreting results. Journal of the American Board of Family Medicine: JABFM, 27(2), 268–274. https://doi.org/10.3122/jabfm.2014.02.130104
Huynh, K., Brito, J. P., Bylund, C. L., Prokop, L. J., & Ospina, N. S. (2023). Understanding diagnostic conversations in clinical practice: A systematic review. Patient education and counseling, 116, 107949. https://doi.org/10.1016/j.pec.2023.107949
Karkera, S., Devendra, N., Lakhani, B., Manahan, K., & Geisler, J. (2024). A review on modern teaching and learning techniques in medical education. EIKI Journal of Effective Teaching Methods, 2(1). https://doi.org/10.59652/jetm.v2i1.128
Kim, S., Chang, H., Kim, T., & Cha, W. C. (2023). Patient Anxiety and Communication Experience in the Emergency Department: A Mobile, Web-Based, Mixed-Methods Study on Patient Isolation During the COVID-19 Pandemic. Journal of Korean medical science, 38(39), e303. https://doi.org/10.3346/jkms.2023.38.e303
Lampus, N. S., & Wuisan, D. S. S. (2024). Correlation between Doctor-Patient Communication with Patient Satisfaction and Loyalty. Medical Scope Journal, 6(2), 149–158. https://doi.org/10.35790/msj.v6i2.53161
Middei, S. (2022). Neuroimaging Applications for Diagnosis and Therapy of Pathologies in the Central and Peripheral Nervous System. Brain sciences, 12(2), 207. https://doi.org/10.3390/brainsci12020207
Mikelsone, E., Spilbergs, A., & Segers, J. P. (2024). Digital Healthcare Innovations and Idea Management. Journal of Economics, Innovative Management and Entrepreneurship, 2(3). https://doi.org/10.59652/jeime.v2i3.257
Peel, E. (2015). Diagnostic communication in the memory clinic: a conversation analytic perspective. Aging & Mental Health, 19(12), 1123–1130. https://doi.org/10.1080/13607863.2014.1003289
Shah-Mohammadi, F., & Finkelstein, J. (2024). Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department. Diagnostics, 14(16), 1779. https://doi.org/10.3390/diagnostics14161779
Simon, D. A., Raza, S., Shachar, C., & Glenn Cohen, I. (2024). Using digital technologies to diagnose in the home: recommendations from a Delphi panel. NPJ digital medicine, 7(1), 18. https://doi.org/10.1038/s41746-024-01009-8
Staffaroni, A. M., Tsoy, E., Taylor, J., Boxer, A. L., & Possin, K. L. (2020). Digital Cognitive Assessments for Dementia: Digital assessments may enhance the efficiency of evaluations in neurology and other clinics. Practical neurology (Fort Washington, Pa.), 2020, 24–45.
Willis, J. S., Tyler, C., Jr, Schiff, G. D., & Schreiner, K. (2021). Ensuring Primary Care Diagnostic Quality in the Era of Telemedicine. The American journal of medicine, 134(9), 1101–1103. https://doi.org/10.1016/j.amjmed.2021.04.027
Yates, J., Stanyon, M., Samra, R., & Clare, L. (2021). Challenges in disclosing and receiving a diagnosis of dementia: a systematic review of practice from the perspectives of people with dementia, carers, and healthcare professionals. International Psychogeriatrics, 33(11), 1161–1192. doi:10.1017/S1041610221000119