Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 35th World Congress on Advance Nursing Practice Barcelona, Spain.

Day :

  • Nursing Practice | Healthcare | Healthcare Case Studies | Tele Medicine and E-Health | Pediatric Nursing | Healthcare Management | Nursing Informatics | Nursing Management |Adult Health Nursing | Innovations in Nursing Education
Biography:

Zhao Fanyu is 24, from Tianjin, China. She is currently completing her postgraduate course in West China Clinical Medical College of Sichuan University. In 2022, she graduated from Tianjin Medical University, specializing in elderly nursing. She actively participated in scientific research and academic activities, presided over scientific research projects for many times, and achieved good results. She has a deep interest in remote nursing and electronic information technology and devoted myself to related research.

Abstract:

COPD is a common, preventable, and treatable disease characterized by persistent respiratory symptoms and restricted airflow. Its protracted disease and protracted course cause patients' quality of life to diminish and place a significant financial strain on families and even society. Studies have shown that providing stable COPD patients with health management application can help them become more knowledgeable about their condition and improve their ability to take care of themselves, delaying the disease's progression, lowering the frequency of acute attacks, and lessening their overall quality of life. Therefore, it is of great significance to provide scientific, reasonable, practical and efficient health management application for COPD patients. Mobile health (m-Health) is the provision of medical services via mobile communication technology, with the main application being a medical health Application (APP). It is a brand-new health management mode that is causing widespread concern due to its consistency, convenience, and interactivity.

Based on a review of domestic and foreign literature, this study chooses the E-Health Enhanced Chronic Care Model (eCCM) as the theoretical foundation for developing application indicators, and establishes the core characteristics of application indicators regarding the theoretical components. In this study, 18 experts from related academic fields were asked to participate in two rounds of correspondence using the Delphi method. The effective recovery rate was 100% after two rounds of questionnaires, the authority coefficient was 0.86, the judgment coefficient was 0.91, the familiarity coefficient was 0.80, and the Kendall harmony coefficients of all levels were 0.056,0.145 and 0.080 respectively (P<0.05). The indexes of COPD health management application program were formed, including 3 first-class indexes, 11 second-class indexes and 44 third-class indexes. The research group further explored the internal system of the application program. In order to make it more suitable for standardized clinical management, the operation flow of the application program was designed according to the clinical pathway, and the COPD health management cycle system of "evaluation-planning-implementation-variation-evaluation-feedback" was formed according to the steps of "planning-implementation-examination-result processing". According to the index content and internal operation flow of the previous application program, the research group simulated the operation page of the application program in order to help COPD patients strengthen their self-management ability, help medical workers remotely monitor the disease changes, and rationally allocate medical resources.

Conclusion: Through literature analysis and two rounds of Delphi expert consultation, this study initially completed the design of COPD health management application program, and finally formed three first-level indicators, 11 second-level indicators and 44 third-level indicators. The inquiry results are true and reliable, the research process is scientific and complete, the application interface is simple and generous, the design practicality is considered from multiple angles, and the clinical tasks of COPD health management are scientifically completed by making full use of the advantages of the Internet, which broadens ideas and provides theoretical reference for further improving and perfecting the existing COPD health management system. The next research plan is to develop the application and put it into the health management of clinical medical industry.

Importance of Research

With the development of information technology and the popularization of the Internet, mobile health (m-Health) has attracted wide attention because of breaking through the limitation of time and space. When mobile health is applied to the medical industry, it can provide medical services and information through the use of mobile communication technology. It is a brand-new health management mode based on terminal system medical health application. As an important part of mobile medicine, health management application is applied to the field of chronic disease health management, which can help COPD patients identify diseases early, remotely monitor disease changes, improve self-management ability, and thus save medical resource costs.

Biography:

Dhastagir Sheriff M.D., PhD is working as Visiting Professor of Medicine and Biotechnology in AUSN, India. He has worked as Biochemistry Professor in Benghazi University, Benghazi, Libya.

Abstract:

Each patient carries his own doctor inside him.
Norman Cousins, Anatomy of an Illness

To improve health care outcomes, physicians must spend more time with patients. To transform health care Artificial intelligence play a significant role in improving the delivery of healthcare. Keeping these avenues open health care delivery can be improved by introducing patient education and AI use in nursing education.

Nursing professional need to be trained to develop interaction with the patient that must be enthusiastic, motivated, and responsive to the individual patient’s needs.  For individual members of our society to realize the benefits of Nursing health education, there is a need for a robust, hearty engagement between patients and physicians.

Interventions to improve self-care have led to documented improvements in self-efficacy. Self-efficacy is defined as one’s belief in one’s ability to succeed in specific situations, or accomplish certain tasks. One’s sense of self-efficacy plays a major role in how one approaches goals, tasks, and challenges regarding one’s health. With escalating health care costs and shocking future cost projections, the potential for improved health outcomes through patient education and self-management programs is immense.

Apart from that training Nurse professional how to introduce AI in appropriate areas will prepare Nursing professional work in different environment of health care whether it is digital health (AI) or general health care.

Key words: Patient education, digital health, artificial intelligence (AI), self-efficacy

Biography:

Mamo Solomon Emire is from ethiopia. He completed his Nursing from Wolkite University College of Medicine and Health Science, Wolkite, Ethiopia. author significantly contributed to the work’s conception, study design, execution, data collection, analysis, and interpretation, as well as its drafting, editing, or critical review

Abstract:

Background: Nurses are the backbone of healthcare services, and nurses at work should be held responsible for providing high-quality care. A common problem at all levels of healthcare institutions is the negative attitude toward the nursing profession. There is limited research on the subject of students’ attitudes. The nursing profession and its evolution are influenced by social, cultural, and moral factors.

Objective: To identify the attitudes of nursing students toward the nursing profession at wolkite university, in 2021.

Methods: An institution-based cross-sectional study was carried out between April 2 and May 30, 2021. The chosen nursing students were selected using a simple random sampling method. A pretest and a standardized self-administer questionnaire were used to get the data. Epi data 3.1 versions were used to enter the data, which was subsequently exported to SPSS version 23 for analysis. Bivariate and multivariable logistic regression analyses were used to find the associated factors of attitude toward the nursing profession. Statistical significance was defined as a P-value < 0.05.

Results: A total of 364 participants completed the study questionnaires giving a response rate of 86.6%. Nearly half of 170 (46.7%) with a range of (41.0–52.2) study participants showed a positive attitude towards the nursing profession. Age (AOR: 4.54; 95% CI: 1.33–15.45) than younger, living in urban (AOR:2.64;95% CI;1.29–5.40), monthly income of less than 1000 ETB (AOR:0.23; 95% CI:0.06–0.38) family reacted positively after they join nursing (AOR: 12.5; 95% CI;4.78–32.69), and interest in the nursing profession (AOR:7.28, 95% CI; 2.01–26.36) were significantly associated with a positive attitude toward nursing profession.

Conclusion and Recommendation: Overall, less than half of participants had a positive attitude toward the nursing profession. Age, Residence, Family monthly income, whose families reacted positively after they join the nursing Profession, and students who joined the nursing profession of their interest were significantly associated with the nursing profession. Thus stake holders in universities, health science colleges, the ministry of education, the ministry of health, and Ethiopian nursing associations have to give due attention to enrolling students who had an interest to join the nursing profession and depict a positive image of the nursing profession. Keywords: nursing profession, nursing students, attitudes, Ethiopia.

Mary Anbarasi Johnson

College of Nursing CMC Vellore, India

Title: Clinical pathways for Quality Nursing Care
Biography:

Mary Anbarasi Johnson working as a professor and Head in pediatric nursing department, CMC Vellore. She worked as Clinical Nurse Specialist in PICU for a year and as Assist Professor in USA for two years’ also worked in administration in nursing, in Saudi Arabia Defence Sector. Mary Anbarasi Johnson working as a professor and Head in pediatric nursing department, CMC Vellore. She worked as Clinical Nurse Specialist in PICU for a year and as Assist Professor in USA for two years’ also worked in administration in nursing, in Saudi Arabia Defence Sector.

Abstract: