Literature DB >> 27332155

Nurses' Information Seeking Behavior for Clinical Practice: A Case Study in a Developing Country.

Masoumeh Sarbaz1, Khalil Kimiafar1, Abbas Sheikhtaheri2, Zhila Taherzadeh3, Saeid Eslami4.   

Abstract

We used a valid questionnaire to survey Iranian nurses' seeking information behavior and their confidence on different information sources. The frequently used sources were Internet" and "personal experiences" (54.8% and 48.2% respectively). "English medical journals" (61.9%) and "English textbooks" (41.3%) were the least frequently used sources. Nurses felt high confidence in sources such as "International instructions/guidelines" (58.6%) and "English medical textbooks" (50.4%). The main reasons for selecting sources were easy accessibility, being up to date and reliability. Google, Pubmed and Up to Date were the most used electronic sources. In addition, there were differences in terms of using some of these resources and nurse' age and gender. In developing information sources for nurses, factors such as reliability level, availability, and updatedness of resources should be more emphasized.

Mesh:

Year:  2016        PMID: 27332155

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Electronic Health-Information Resource Utilization and Its Associated Factors among Health Professionals in Amhara Regional State Teaching Hospitals, Ethiopia.

Authors:  Getanew Aschalew Tesfa; Mulugeta Hayelom Kalayou; Wondossen Zemene
Journal:  Adv Med Educ Pract       Date:  2021-03-01

Review 2.  Describing knowledge encounters in healthcare: a mixed studies systematic review and development of a classification.

Authors:  Dominic Hurst; Sharon Mickan
Journal:  Implement Sci       Date:  2017-03-14       Impact factor: 7.327

3.  Internet-Specific Epistemic Beliefs in Medicine and Intention to Use Evidence-Based Online Medical Databases Among Health Care Professionals: Cross-sectional Survey.

Authors:  Yen-Lin Chiu; Yu-Chen Lee; Chin-Chung Tsai
Journal:  J Med Internet Res       Date:  2021-03-18       Impact factor: 5.428

  3 in total

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