Health Information management
Siavash Asadzadeh Jahanabad; Razieh Bagherzadeh; Leila Dehghani
Abstract
Introduction: Observational articles, as basic studies, in nursing-midwifery are of great importance; however, the quality of these articles has not been investigated, especially from the methodological view. This study endeavored to compare the quality of observational articles of nursing-midwifery ...
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Introduction: Observational articles, as basic studies, in nursing-midwifery are of great importance; however, the quality of these articles has not been investigated, especially from the methodological view. This study endeavored to compare the quality of observational articles of nursing-midwifery journals indexed in Scopus database between the years 2017 and 2021.Methods: In this comparative cross-sectional study, 479 observational articles on nursing and midwifery journals indexed in the Scopus database between the years 2017 and 2021 were reviewed. The data collection instrument was the STROBE checklist methodology section, which recorded the methodological characteristics of the articles reviewed.Results: The average score of the methodology report of all observational studies was 15.10±2.46. The lowest percentage of reports were related to the management of possible bias cases (2.7%) and the method of dealing with incomplete data (5.6%). The average score of the methodology report in the year 2021 is similar to the year 2020 but significantly higher than in the year 2017 to the year 2019; the year 2020 is similar to the year 2019 and higher than the years 2017 and 2018; 2019 was similar to 2018 but higher than 2017 (p < .05).Conclusion: The findings the study can help the editors and reviewers of Iranian nursing and midwifery journals to obtain more knowledge about the favorable characteristics and weaknesses of their journals, which can lead to a change in the policy of accepting articles for publication and improve the quality of their journals. It will also help researchers to report their research results accurately and with higher quality.
Abdolhossein Farajpahlou; Farideh Osareh; Mostafa Fakhrahmad; Leila Dehghani
Abstract
Introduction: Although the concept of facet analysis has a long background in the classification and information retrieval systems, the use of facet analysis approach in the current information retrieval systems is associated with drawbacks. One of these drawbacks is the lack of proper attention to the ...
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Introduction: Although the concept of facet analysis has a long background in the classification and information retrieval systems, the use of facet analysis approach in the current information retrieval systems is associated with drawbacks. One of these drawbacks is the lack of proper attention to the user as the main stakeholder of the system. In this study, a method is presented for appropriate facet extraction in the modern information retrieval systems.Methods: In order to perceive the need of users and achieve the facets of gynecology and obstetrics, the contractual content analysis method was employed with a qualitative approach. First, the informational needs of the user group were identified after interviewing 14 specialists in the fields of midwifery and gynecology and obstetrics. Then, the informational needs were classified with the help of specialists in the subject area and a facet was attributed to each stage. An expert group consisting of eight subject-area specialists and eight specialists in knowledge and information science evaluated the efficiency of the facets extracted; this way, the agreement was evaluated based on the total agreement formula.Results: Based on the codes extracted from the interviews related to determining the information needs of stakeholders in the domains of gynecology and obstetrics, 23 facets were identified, 9 of which being identified as proper facets, including age groups, organ, therapeutics, diagnosis, disease, symptoms or finding, risk factor, complication, and prognosis by the experts through receiving a coefficient of agreement above 80%.Conclusion: Facet extraction of the information retrieval systems based on the user-oriented approach converts the facets from general to specialized states. In this case, the facets are different for the users of each specialized domain in the user interface; thus, the specialized user interfaces would be formed.