Zahra Khajeali Jahantighi, Zahra Abazari, Zohreh Mirhosseini, Fahimeh Babalhavaeji,
Volume 8, Issue 3 (11-2021)
Abstract
Background and Aim: The aim is to provide an appropriate patients informative model of self-care for the medical information system of the country.
Methodology: This is an applied survey research. Through Cochran's formula sample of 356 individuals were selected from the population of 5,000 individuals. Khajeh Ali (et al., 2020) Qualitative Standard Research Questionnaire (with 2 dimensions, 14 components and 92 questions) was used.
Findings: It was revealed that all parameters of the self-care informing factor analysis model of patients in the medical informing system are significant at 95% confidence level and the model has a good fit. Also, care of medical services has a weight of 0.422, the correction component is 0.924 and behavioral care is 0.417. Meanwhile, 0.92 for the component of participation in care, 0.897 for prevention, for the component of personal cares, 0.482, and 0.448 for the component of satisfaction, 0.502 for the component of environmental cares and 0.852 for health have been acquired. Regarding the information dimension, 0.907 for science and knowledge component, 0.852 for processing, 0.887 for news distribution, and 0.798 for knowledge have been acquired. In addition, for the dimensions of information and self-care, weights of 0.69 and 0.77 were obtained, respectively.
Conclusion: Chronic care is the duty of the primary care team with physicians giving extensive part of their time. Since patient care occurs in service delivery units - part of health system and of a larger community – ensuing participatory care. Information behavior research is to help science professionals to be knowledgeable about the information needs of their target community to make the required planning to offer information resources for patient self-care of the country. Obtained model could bring promising result in the medical information system.
Seyed Mohamad Mirzamani, Zahra Abazari, Nosrat Riahinia, Nadjla Hariri, Samira Daniali,
Volume 9, Issue 1 (5-2022)
Abstract
Objective: The purpose was to identify components and effective characteristics of knowledge management of metropolitan municipalities in Iran.
Methods: Applied qualitative fuzzy Delphi analysis method was incorporated. The qualitative experts in the community in the field: Urban management, and executives in the municipalities. Twenty experts surveyed purposefully to generate a semi-structured questionnaire.
Results: Based on Delphi analysis, 7 components and 59 indices were identified, based on the codes collected from the research literature, and based on a questionnaire form performed by experts using fuzzy Delphi method, 7 components were included. Knowledge among employees with average of 0.846, Competitive advantage for organization with average of 0.822, Knowledge sharing among employees with average of 0.840, Knowledge in organization with average of 0.831, Knowledge distribution among employees with average 0.839, knowledge creation for workers with a mean of 0.840, knowledge transfer among workers with a mean of 0.788.
Conclusion: Knowledge management as a scientific discipline is still in its infancy with so many unidentified topics in Iran. Although organizations, especially the case study of metropolitan municipalities, are gradually recognizing the importance of knowledge management in their various units, there is still a long way to operate adequately.
