Background: People engage in health information–seeking behavior to support health outcomes, and being able to predict such behavior can inform the development of interventions to guide effective health information seeking. Obtaining a comprehensive list of the predictors of health information–seeking behavior through a systematic search of the literature and exploring the interrelationship of these predictors are critical first steps in this process. Objective: This study aims to identify significant predictors of health information–seeking behavior in the primary literature, develop a common taxonomy for these predictors, and identify the evolution of the concerned research field. Methods: A systematic search of PsycINFO, Scopus, and PubMed was conducted for all years up to and including December 10, 2019. Quantitative studies identifying significant predictors of health information–seeking behavior were included. Information seeking was broadly defined and not restricted to any source of health information. Data extraction of significant predictors was performed by 2 authors, and network analysis was conducted to observe the relationships between predictors with time. Results: A total of 9549 articles were retrieved, and after the screening, 344 studies were retained for analysis. A total of 1595 significant predictors were identified. These predictors were categorized into 67 predictor categories, with the most central predictors being age, education, gender, health condition, and financial income. With time, the interrelationship of predictors in the network became denser, with the growth of new predictor grouping reaching saturation (1 new predictor identified) in the past 7 years, despite increasing publication rates. Conclusions: A common taxonomy was developed to classify 67 significant predictors of health information–seeking behavior. A time-aggregated network method was developed to track the evolution of the research field, showing the maturation of new predictor terms and an increase in primary studies reporting multiple significant predictors of health information–seeking behavior. The literature has evolved with a decreased characterization of novel predictors of health information–seeking behavior. In contrast, we identified a parallel increase in the complexity of predicting health information–seeking behavior, with an increase in the literature describing multiple significant predictors.

Background: In healthcare, preceptors act as a role model and supervisor, thereby facilitating the socialisation and development of the preceptee into a professional fit to practice. To ensure a consistent approach to every preceptorship experience, preceptor competencies should be measured or assessed to ensure that the desired outcomes are achieved. Defining these would ensure quality management and could inform development of an preceptor competency framework. This review aimed to evaluate the evidence for preceptor competencies and assessment in health professions. Methods: This study followed the PRISMA ScR scoping review guidelines. A database search was conducted in Embase, Medline, CINAHL and IPA in 2019. Articles were included if they defined criteria for competency, measured or assessed competency, or described performance indicators of preceptors. A modified GRADE CERQual approach and CASP quality assessment were used to appraise identified competencies, performance indicators and confidence in evidence. Results: Forty one studies identified 17 evidence-based competencies, of which 11 had an associated performance indicator. The competency of preceptors was most commonly measured using a preceptee completed survey (moderate to high confidence as per CERQual), followed by preceptor self-assessment, and peer-assessment. Preceptee outcomes as a measure of preceptor performance had good but limited evidence. Conclusions: Competencies with defined performance indicators allow for effective measurement and may be modifiable with training. To measure preceptor competency, the preceptor perspective, as well as peer and preceptee assessment is recommended. These findings can provide the basis for a common preceptor competency framework in health professions.

The number of systematic reviews published each year has steadily increased over the past decade. At the University of Sydney Library, demand for systematic review support had reached unsustainable levels, and a reimagining of our service model was necessary. This paper documents our journey in using ‘service design thinking’ to develop a user-centred systematic review service. Using design thinking methods, we conducted user research to build empathy and understand the systematic review process from the user’s perspective. Using the principles of service design, we examined systematic review support holistically and reconsidered library services as part of a wider service ecology. We developed a suite of resources, including a service charter and an online, self-service toolkit. We also launched a systematic review mentoring program to increase the number of librarians able to deliver the service. By bringing design thinking and service design together, we were able to examine an old problem from a new vantage point. Through this process we discovered the transformational power of service design thinking and developed new solutions for our local context. We encourage other libraries to also embrace service design thinking to reimagine their own services from a new perspective.

This paper examines issues relating to the perceptions and adoption of open access (OA) and institutional repositories. Using a survey research design, we collected data from academics and other researchers in the humanities, arts and social sciences (HASS) at a university in Australia. We looked at factors influencing choice of publishers and journal outlets, as well as the use of social media and nontraditional channels for scholarly communication. We used an online questionnaire to collect data and used descriptive statistics to analyse the data. Our findings suggest that researchers are highly influenced by traditional measures of quality, such as journal impact factor, and are less concerned with making their work more findable and promoting it through social media. This highlights a disconnect between researchers’ desired outcomes and the efforts that they put in toward the same. Our findings also suggest that institutional policies have the potential to increase OA awareness and adoption. This study contributes to the growing literature on scholarly communication by offering evidence from the HASS field, where limited studies have been conducted. Based on the findings, we recommend that academic librarians engage with faculty through outreach and workshops to change perceptions of OA and the institutional repository.

We are very excited to present this year’s special issue of the Journal of the Australian Library and Information Association (JALIA) on Artificial Intelligence (AI) and Robots for the Library and ...