NURS FPX 4030 Assessment 4 Remote Collaboration and Evidence Based Care
NURS FPX 4030 Assessment 4 Remote Collaboration and Evidence Based Care
Name
Capella university
NURS-FPX 4030 Making Evidence-Based Decisions
Prof. Name
Date
Remote Collaboration and Evidence-Based Care
Hello, my name is Hypo, and today I will present about the revolutionary field of remote collaboration and evidence-based care of stroke patients. A stroke is an emergency situation that arises when blood flow to your brain is disrupted (Johns Hopkins Medicine, 2023). Remote collaboration for stroke patients means eliminating physical distance as a barrier to teamwork. It is proliferating and open to everyone because of technological advancements and decreased costs. Necessary hardware for remote collaboration usually consists of a smartphone, Liquid Crystal Display (LCD), and Personal Computer (PC) with remote control and conferencing features.
Evidence-Based Care Plan
We used a motivational mass individual strategy, including mobile phone applications that achieves optimal individual-based primary stroke prevention. It helps evaluate cardiovascular history and variable risk factors (like obesity, hypertension, and smoking) using an affordable screening technique. After that, this data is connected to national, regional, or local electronic health databases. The global impact of such approaches is shown by easy-to-use resources like the Stroke Risko-meter app, which is available in 19 languages across 78 countries and has the potential to reach 5.3 billion people (Owolabi et al., 2021).
Apple’s Health-Kit platform, which tracks multiple vital signs, dramatically accelerates the gathering and exchanging of patient data. It helps prevent expensive events like expensive imaging, strokes, or hospital stays. Telehealth also assists in reducing failure to take medication, which is a common cause of preventable death in cerebrovascular disease (Schwamm, 2019).
Evidence-Based Practice Model
We used the Collaborative Care Model (CCM) exercise technique that boosts functional recovery and improves the quality of life for stroke individuals. We used financial and human resources to encourage patients and their family members to participate actively in their care. It improves patients’ overall quality of life by allowing them to care for themselves. In collaborative care, nurses step far from traditional learning methods (Wu et al., 2020). We found meta-analyses for VR rehabilitation for the upper limb after stroke by searching Ovid-MEDLINE, Ovid-EMBASE, the Cochrane Library, and Korea-Med online (Kim et al., 2020). This pattern is evident in several disciplines, including education and medicine (Druta et al., 2021).
Benefits
The effect of telemedicine on stroke patients reduces hospital stays and is economically feasible (Sobhani et al., 2021). It helps prevent expensive events like expensive imaging, strokes, or hospital stays. Telehealth also assists in reducing failure to take medication, which is a common cause of preventable death in cerebrovascular disease (Schwamm, 2019). Rehabilitation of stroke patients meets a number of difficulties, including costs, transportation issues, lack of skilled workers, and restricted equipment access. Tele-rehabilitation (TR) has become an effective means to reduce expenses and improve accessibility and privacy to patients (Knepley et al., 2020). People who own tablets, laptops, and desktop computers can readily make use of telehealth applications, which link them to medical professionals who are qualified to diagnose, track, and treat a variety of acute and chronic conditions. Growing recognition of telehealth as an efficient and effective tool for improving healthcare outcomes and access is in line with technology advancements.
Most Relevant Evidence
Virtual reality-based telerehabilitation is the most relevant evidence for stroke patients close to the problems and limitations of traditional in-person rehabilitation. The use of simulation technology in stroke rehabilitation has produced positive outcomes on mobility, cognition, daily living activities, and quality of life (Hao et al., 2023). It is helpful in situations when a stroke patient is immobile as a result of a coma, fracture, and paralysis where time is of fundamental worth. Information and communication technology (ICT) transfers information instead of depending on humans (Gogia, 2020). Hub & spoke tele-stroke system effectively improves acute stroke care at spoke places.
The tele-stroke project is a collaborative work on the remote diagnosis of suspected stroke patients. Promising outcomes were obtained from early simulations carried out in a supervised environment with simulated patients. It is used to support hands-free teleconsultations. The tele-stroke model integrates computer vision techniques and machine learning (ML) methods, leading to a computer-assisted real-time diagnosis (Croatti et al., 2022).
Rationale
Implementing the treatment protocol and team training sessions based on in situ simulation for stroke thrombolysis led to a notable reduction in time from arriving stroke patients in an emergency to initiating drug therapy (Ajmi et al., 2019). Telemedicine provides multiple services, such as teleradiology, teleconsultation, and tele-visit. Telemonitoring makes it easier to check on a patient’s health conditions remotely. This includes using wearable technology to automatically gather body measurements and vital signs and enter data into a web app (Croatti et al., 2022).
Using stroke telemedicine, experts from stroke centres can offer acute stroke patients in poor hospitals consultative care. Neuroscience telemedicine will be used in clinical, research, and educational settings in the future to fill the specialist shortage in non-urban areas. A global solution to the stroke epidemic is the start of telemedicine-based regional stroke care systems. Beyond stroke, telemedicine is becoming growing in popularity in emergency, prehospital, critical care, rehabilitative, and outpatient settings.
Interdisciplinary Collaboration
Digital health provides remote services like patient care, education, and monitoring. A live web-based platform is used to collect Patient-Reported Outcomes (PROs). This remote interdisciplinary approach to blood pressure monitoring is a guarantee for improving stroke patient satisfaction. When people have resources, they can actively engage in self-care following a stroke, which helps decrease the gaps in their health (Naqvi et al., 2023). Developing precise tele-stroke methods, governance structures, and participation of stakeholders needs effective pre-implementation planning. By using telerehabilitation, patients would be subjected to less infectious agents (Bashir, 2020).
Tele-rehabilitation (TR) has become an effective means to reduce expenses and improve accessibility and privacy to patients (Knepley et al., 2020). It delivers safe, efficient, timely, patient-centered, and unbiased care. Digital health can result in significant cost savings for low-income populations, especially when it involves transportation costs. Using information technology for telemedicine through wireless networks offers several benefits and opportunities in the healthcare field. Ideas are provided to tackle common challenges related to technology, staffing, planning, consistency, and maintaining sustainability (Tumma et al., 2022). Arm-robot care and mirror therapy decrease functional problems and enhance arm function in stroke patients. Electro-mechanical gait training and treadmill training for stroke patients improve walking strength and speed (Platz, 2019).
Conclusion
To sum up, combining digital health technologies, telemedicine, and remote collaboration has led to an essential shift in stroke care. These innovations, which range from virtual reality-based interventions to telerehabilitation, improve patient outcomes while saving cash and increasing accessibility. Implementing evidence-based practices and interdisciplinary collaboration are key to addressing issues and ensuring the continued success of telehealth programs in treating stroke patients
References
Ajmi, S. C., Advani, R., Fjetland, L., Kurz, K. D., Lindner, T., Qvindesland, S. A., Ersdal, H., Goyal, M., Kvaløy, J. T., & Kurz, M. (2019). Reducing door-to-needle times in stroke thrombolysis to 13 min through protocol revision and simulation training: a quality improvement project in a Norwegian stroke centre. BMJ Quality & Safety, 28(11), 939–948. https://doi.org/10.1136/bmjqs-2018-009117
Bashir, A. (2020). Stroke and Telerehabilitation: A brief communication. JMIR rehabilitation and assistive technologies, 7(2), e18919. https://doi.org/10.2196/18919
Croatti, A., Longoni, M., & Montagna, S. (2022). Applying telemedicine for stroke remote diagnosis: the telestroke system. Procedia computer science, 198, 164–170. https://doi.org/10.1016/j.procs.2021.12.224
Druta, R., Druta, C., Negirla, P., & Silea, I. (2021). A review of methods and systems for remote collaboration. Applied sciences, 11(21), 10035. https://doi.org/10.3390/app112110035
Ganapathy, K. (2020). Telemedicine and Neurological Practice in the COVID-19 Era. Neurology India, 68(3), 555. https://doi.org/10.4103/0028-3886.288994
Gogia, S. (2020). Rationale, history, and basics of telehealth. Fundamentals of telemedicine and telehealth, pp. 11–34. https://doi.org/10.1016/b978-0-12-814309-4.00002-1
NURS FPX 4030 Assessment 4 Remote Collaboration and Evidence Based Care
Hao, J., Pu, Y., Chen, Z., & Siu, K.-C. (2023). Effects of virtual reality-based telerehabilitation for stroke patients: A systematic review and meta-analysis of randomized controlled trials. Journal of Stroke and Cerebrovascular Diseases, 32(3), 106960. https://doi.org/10.1016/j.jstrokecerebrovasdis.2022.106960
Johns Hopkins Medicine. (2023). Stroke. Www.hopkinsmedicine.org. https://www.hopkinsmedicine.org/health/conditions-and-diseases/stroke
Kim, W.-S., Cho, S., Ku, J., Kim, Y., Lee, K., Hwang, H.-J., & Paik, N.-J. (2020). Clinical application of virtual reality for upper limb motor rehabilitation in stroke: Review of technologies and clinical evidence. Journal of Clinical Medicine, 9(10), 3369. https://doi.org/10.3390/jcm9103369
Knepley, K. D., Mao, J. Z., Wieczorek, P., Okoye, F. O., Jain, A. P., & Harel, N. Y. (2020). Impact of telerehabilitation for stroke-related deficits. Telemedicine and e-health. https://doi.org/10.1089/tmj.2020.0019
Naqvi, I., Strobino, K., Li, H., Schmitt, K., Barratt, Y., Ferrara, S. A., Amna Hasni, Cato, K., Weiner, M. G., Mitchell S.V. Elkind, Kronish, I. M., & Arcia, A. (2023). Improving patient-reported outcomes in stroke care using remote blood pressure monitoring and telehealth. Applied Clinical Informatics, 14(05), 883–891. https://doi.org/10.1055/s-0043-1772679
Owolabi, M. O., Thrift, A. G., Mahal, A., Ishida, M., Martins, S., Johnson, W. D., Pandian, J., Abd-Allah, F., Yaria, J., Phan, H. T., Roth, G., Gall, S. L., Beare, R., Phan, T. G., Mikulik, R., Akinyemi, R. O., Norrving, B., Brainin, M., & Feigin, V. L. (2021). Primary stroke prevention worldwide: translating evidence into action. The Lancet Public Health, 7(1). https://doi.org/10.1016/s2468-2667(21)00230-9
NURS FPX 4030 Assessment 4 Remote Collaboration and Evidence Based Care
Patel, U. K., Malik, P., DeMasi, M., Lunagariya, A., & Jani, V. B. (2019). Multidisciplinary approach and outcomes of tele-neurology: A Review. Cureus. https://doi.org/10.7759/cureus.4410
Platz, T. (2019). Evidence-Based Guidelines and Clinical Pathways in Stroke Rehabilitation—An International Perspective. Frontiers in neurology, 10. https://doi.org/10.3389/fneur.2019.00200
Schwamm, L. H. (2019). Digital health strategies to improve care and continuity within stroke systems of care in the United States. Circulation, 139(2), 149–151. https://doi.org/10.1161/circulationaha.117.029234
Sobhani, F., Desai, S., Madill, E., Starr, M., Rocha, M., Molyneaux, B., Jovin, T., Wechsler, L., & Jadhav, A. (2021). Remote longitudinal inpatient acute stroke care via telestroke. Journal of Stroke and Cerebrovascular Diseases, 30(6), 105749. https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105749
Tumma, A., Berzou, S., Jaques, K., Shah, D., Smith, A. C., & Thomas, E. E. (2022). Considerations for the implementation of a telestroke network: A Systematic Review. Journal of Stroke and Cerebrovascular Diseases, 31(1), 106171. https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.106171
Wu, Z., Xu, J., Yue, C., Li, Y., & Liang, Y. (2020). Collaborative care model based telerehabilitation exercise training program for Acute stroke patients in China: A randomized controlled trial. Journal of Stroke and Cerebrovascular Diseases, 29(12), 105328. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105328