A 10-year follow-up survey of US academic libraries highlights the COVID-19 experience and greater interest in health information outreach

BACKGROUND

As follow-up to their previous survey on health information outreach (HIO) in 2010, the authors became interested in the evolving nature of HIO activities at academic libraries within the past decade.

OBJECTIVES

The aim of this study was to understand how HIO activities at academic libraries have evolved since 2010, especially considering the current COVID-19 pandemic.

METHODS

An online survey, designed to collect quantitative data on general HIO activities and qualitative data specifically on COVID-19 information outreach, was distributed to over 1700 librarians at US general academic and academic health science libraries.

RESULTS

Two hundred and fifty-five respondents completed the survey. Quantitative findings generally paralleled the 2010 results, except in a few areas. Most notably, a greater percentage of librarians in 2020 were participating in HIO (44%) than in 2010 (37%). Qualitative findings revealed that librarians are leveraging traditional information services and implementing innovative partnerships to promote reputable health information resources on COVID-19.

DISCUSSION

Evidence suggests that further engagement and campus partnerships can enhance libraries' supportive roles as trustworthy purveyors of quality health information.

CONCLUSION

US academic librarians are increasingly engaging in HIO to support the health information needs of campus communities and should consider aligning outreach activities with national health goals.

Algorithmic literacy in medical students - results of a knowledge test conducted in Germany

The impact of algorithms on everyday life is ever increasing. Medicine and public health are not excluded from this development - algorithms in medicine do not only challenge, change and inform research (methods) but also clinical situations. Given this development, questions arise concerning the competency level of prospective physicians, thus medical students, on algorithm related topics. This paper, based on a master's thesis in library and information science written at Humboldt-Universität zu Berlin, gives an insight into this topic by presenting and analysing the results of a knowledge test conducted among medical students in Germany. F. J.