Teaching about teaching and instruction on instruction: A challenge for health sciences library education

Objective: This is a review of the master's-level curricula of the fifty-eight America Library Association-accredited library and information science programs and iSchools for evidence of coursework and content related to library instruction. Special emphasis is placed on the schools and programs that also offer coursework in medical or health sciences librarianship. Methods: Fifty-eight school and program websites were reviewed. Course titles and course descriptions for seventy-three separate classes were analyzed. Twenty-three syllabi were examined. Results: All North American library education programs offer at least one course in the general area of library instruction; some programs offer multiple courses. No courses on instruction, however, are focused directly on the specialized area of health sciences librarianship. Conclusions: Master's degree students can take appropriate classes on library instruction, but the medical library profession needs to offer continuing education opportunities for practitioners who want to have specific instruction for the specialized world of the health sciences

Health Libraries and Information Services in Tanzania: A Strategic Assessment

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Health Information Literacy and Competencies of Information Age Students: Results From the Interactive Online Research Readiness Self-Assessment (RRSA)

BACKGROUND: In an era of easy access to information, university students who will soon enter health professions need to develop their information competencies. The Research Readiness Self-Assessment (RRSA) is based on the Information Literacy Competency Standards for Higher Education, and it measures proficiency in obtaining health information, evaluating the quality of health information, and understanding plagiarism. OBJECTIVE: This study aimed to measure the proficiency of college-age health information consumers in finding and evaluating electronic health information; to assess their ability to discriminate between peer-reviewed scholarly resources and opinion pieces or sales pitches; and to examine the extent to which they are aware of their level of health information competency. METHODS: An interactive 56-item online assessment, the Research Readiness Self-Assessment (RRSA), was used to measure the health information competencies of university students. We invited 400 students to take part in the study, and 308 participated, giving a response rate of 77%. The RRSA included multiple-choice questions and problem-based exercises. Declarative and procedural knowledge were assessed in three domains: finding health information, evaluating health information, and understanding plagiarism. Actual performance was contrasted with self-reported skill level. Upon answering all questions, students received a results page that summarized their numerical results and displayed individually tailored feedback composed by an experienced librarian. RESULTS: Even though most students (89%) understood that a one-keyword search is likely to return too many documents, few students were able to narrow a search by using multiple search categories simultaneously or by employing Boolean operators. In addition, nearly half of the respondents had trouble discriminating between primary and secondary sources of information as well as between references to journal articles and other published documents. When presented with questionable websites on nonexistent nutritional supplements, only 50% of respondents were able to correctly identify the website with the most trustworthy features. Less than a quarter of study participants reached the correct conclusion that none of the websites made a good case for taking the nutritional supplements. Up to 45% of students were unsure if they needed to provide references for ideas expressed in paraphrased sentences or sentences whose structure they modified. Most respondents (84%) believed that their research skills were good, very good, or excellent. Students’ self-perceptions of skill tended to increase with increasing level of education. Self-reported skills were weakly correlated with actual skill level, operationalized as the overall RRSA score (Cronbach alpha = .78 for 56 RRSA items). CONCLUSIONS: While the majority of students think that their research skills are good or excellent, many of them are unable to conduct advanced information searches, judge the trustworthiness of health-related websites and articles, and differentiate between various information sources. Students’ self-reports may not be an accurate predictor of their actual health information competencies

Exploring Social Contextual Correlates of Computer Ownership and Frequency of Use Among Urban, Low-Income, Public Housing Adult Residents

Reviewer: Kind, TerryReviewer: Hargittai, EszterReviewer: Cullen, Karen[This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2007/4/e35/ ] Background: As advances in computer access continue to be made, there is a need to better understand the challenges of increasing access for racial/ethnic minorities, particularly among those with lower incomes. Larger social contextual factors, such as social networks and neighborhood factors, may influence computer ownership and the number of places where individuals have access to computers. Objectives: We examined the associations of sociodemographic and social contextual factors with computer ownership and frequency of use among 1554 adults living in urban public housing. Methods: Bivariate associations between dependent variables (computer ownership and regular computer use) and independent variables were used to build multivariable logistic models adjusted for age and site clusters. Results: Participants (N = total weighted size of 2270) were on average 51.0 (± 21.4) years old, primarily African American or Hispanic, and earned less than US $20000 per year. More than half owned a computer, and 42% were regular computer users. Reporting computer ownership was more likely if participants lived above the poverty level (OR = 1.78, 95% CI = 1.39-2.29), completed high school (OR = 2.46, 95% CI = 1.70-3.55), were in financial hardship (OR = 1.38, 95% CI = 1.06-1.81), were employed and supervised others (OR = 1.94, 95% CI = 1.08-3.46), and had multiple role responsibilities (OR = 2.18, 95% CI = 1.31-3.61). Regular computer use was more likely if participants were non-Hispanic (OR = 1.94, 95% CI = 1.30-2.91), lived above the poverty level (OR = 2.84, 95% CI = 1.90-4.24), completed high school (OR = 4.43, 95% CI = 3.04-6.46), were employed and supervised others (OR = 2.41, 95% CI = 1.37-4.22), felt safe in their neighborhood (OR = 1.57, 95% CI = 1.08-2.30), and had greater social network ties (OR = 3.09, 95% CI = 1.26-7.59). Conclusions: Disparities in computer ownership and use are narrowing, even among those with very low incomes; however, identifying factors that contribute to disparities in access for these groups will be necessary to ensure the efficacy of future technology-based interventions. A unique finding of our study is that it may be equally as important to consider specific social contextual factors when trying to increase access and use among low-income minorities, such as social network ties, household responsibilities, and neighborhood safety