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Chatbots have experienced significant growth over the past decade, with a proliferation of new applications across various domains. Previous studies also demonstrate the trend of new technologies, especially artificial intelligence, being adopted in libraries. The purpose of this study is to determine the current research priorities and findings in the field of chatbots in libraries. A systematic literature review was performed utilising the PRISMA checklist and the databases Scopus and Web of Science, identifying 5734 records. Upon conducting the first screening, abstract screening, full-text assessment, and quality assessments guided by the CASP appraisal checklist, 19 papers were deemed suitable for inclusion in the review. The results of the review indicate that the majority of the existing studies were empirical in nature (primarily adopting qualitative methods) and technology reviews with a focus on reviewing the implementation and maintenance, design, evaluation, characteristics, and application of chatbots. The chatbots of interest were mainly text-based and guided chatbots, with closed-source tools with access portals mostly built on library web pages or integrated with social software. The research findings primarily concerned the development models and necessary tools and technologies, the application of chatbots in libraries. Our systematic review also suggests that studies on chatbots in libraries are still in the early stages. [This paper was presented at the 2023 Libraries in the Digital Age (LIDA) International Conference (Osijek, Croatia, May 24-26, 2023).]

Public health research tends to focus on park amenities that promote physical activity as an indicator of healthy community design. The leisure disciplines argue for a broader approach highlighting the physiological, psychological, and social benefits of park-based activities. We hypothesize that parks offering avenues for active recreation may be better utilized if they offer opportunities for relaxation before/after physical activity, as a standalone leisure activity, or other amenities for adults accompanying active children to relax and socialize. To test this hypothesis, in May 2016, we observed sedentary recreation (such as reading, lying down, or sitting) in a centrally located park based on colonial landscapes within the City of Liverpool, New South Wales, Australia using the validated System for Observing Play and Recreation in a Community (SOPARC) protocol; and an accompanying high-resolution landcover dataset to explore correlates of sedentary recreation. Specifically, we were interested in the demographic characteristics, the time, the place within the park, and landcover features of the places where people engaged in sedentary recreation. We found that 68% of adults visiting the park were engaged in sedentary recreation which peaked between 12-2 p.m. We also found that sedentary recreation was significantly associated (p<0.05) with a greater percent of grass in an area. Our findings are consistent with the propositions of attention restoration and socialization theories of greenspace utility. We conclude that parks should be designed to offer adequate amenities for leisure in addition to physical activity perhaps through the provision of adequate greenspaces. [ABSTRACT FROM AUTHOR]

Background: The aim was to investigate the association between distant green space and physical activity modified by local green space. Methods: Information about physical activity, demographic and socioeconomic background at the individual level was extracted from the New South Wales Population Health Survey. The proportion of a postcode that was parkland was used as a proxy measure for access to parklands and was calculated for each individual. Results: There was a significant relationship between distant green space and engaging in moderate-to-vigorous physical activity (MVPA) at least once a week. No significant relationship was found between adequate physical activity and distant green space. No significant relationships were found between adequate physical activity, engaging in MVPA, and local green space. However, if respondents lived in greater local green space (=25%), there was a significant relationship between engaging in MVPA at least once a week and distance green space of =20%. Conclusion: This study highlights the important effect of distant green space on physical activity. Our findings also suggest that moderate size of local green space together with moderate size of distant green space are important levers for participation of physical activity. [ABSTRACT FROM AUTHOR]

Background: Chronic kidney disease (CKD) causes a significant health burden in Australia, and up to 50% of Australians with CKD remain undiagnosed. Aims: To estimate the 5‐year risk for CKD from general practice (GP) clinical records and to investigate the spatial variation and hot spots of CKD risk in an Australian community. Method: A cross‐sectional study was designed using de‐identified GP clinical data recorded from 2010 to 2015. A total of 16 GP participated in this study from West Adelaide, Australia. We used health records of 36 565 patients aged 35–74 years, with no prior history of CKD. The 5‐year estimated CKD risk was calculated using the QKidney algorithm. Individuals' risk score was aggregated to Statistical Area Level 1 to predict the community CKD risk. A spatial hotspot analysis was applied to identify the communities with greater risk. Results: The mean estimated 5‐year risk for CKD in the sample population was 0.95% (0.93–0.97). Overall, 2.4% of the study population was at high risk of CKD. Significant hot spots and cold spots of CKD risk were identified within the study region. Hot spots were associated with lower socioeconomic status. Conclusions: This study demonstrated a new approach to explore the spatial variation of CKD risk at a community level, and implementation of a risk prediction model into a clinical setting may aid in early detection and increase disease awareness in regions of unmet CKD care. [ABSTRACT FROM AUTHOR]

Background Potentially preventable hospitalizations (PPHs) or ambulatory care sensitive conditions (ACSCs) represent hospitalizations that could be successfully managed in a primary care setting. Research from the USA and elsewhere on the role of primary care provider (PCP) access as a PPH driver has been conflicting. We investigated the role of PCP access in the creation of areas with persistently significant high rates of PPHs over time or PPH hotspots/spatial clusters. Methods Using a detailed dataset of PCPs and a dataset of 106 334 chronic PPH hospitalizations from South Western Sydney, Australia, we identified hotspots of chronic PPHs. We contrasted how hotspot PPHs were different from other PPHs on a range of factors including PCP access. Results and conclusions Six spatially contiguous areas comprising of eight postcodes were identified as hotspots with risks ranging from 1.6 to 2.9. The hotspots were found to be more disadvantaged and had better PCP access than other areas. Socioeconomic disadvantage explained the most variation (8%) in clustering while PCP access explained only a small fraction though using detailed PCP access measures helped. Nevertheless a large proportion of the variation remained unexplained (86.5%) underscoring the importance of individual level behaviours and other factors in driving chronic PPH clustering. [ABSTRACT FROM AUTHOR]

The prevalence of type 2 diabetes (T2D) is increasing worldwide and there is a need to identify communities with a high-risk profile and to develop appropriate primary care interventions. This study aimed to predict future T2D risk and identify community-level geographic variations using general practices data. The Australian T2D risk assessment (AUSDRISK) tool was used to calculate the individual T2D risk scores using 55 693 clinical records from 16 general practices in west Adelaide, South Australia, Australia. Spatial clusters and potential 'hotspots' of T2D risk were examined using Local Moran's I and the Getis-Ord Gi* techniques. Further, the correlation between T2D risk and the socioeconomic status of communities were mapped. Individual risk scores were categorised into three groups: low risk (34.0% of participants), moderate risk (35.2% of participants) and high risk (30.8% of participants). Spatial analysis showed heterogeneity in T2D risk across communities, with significant clusters in the central part of the study area. These study results suggest that routinely collected data from general practices offer a rich source of data that may be a useful and efficient approach for identifying T2D hotspots across communities. Mapping aggregated T2D risk offers a novel approach to identifying areas of unmet need. [ABSTRACT FROM AUTHOR]

Background: Patterns of opioid dispensing often exhibit substantial temporal and geographical variability, which has implications for public health policy decisions and interventions. The study examined recent trends in prescription opioid dispensing and identified high dispensing areas and factors associated with the doses dispensed. Methods: Three years (1 January 2013–31 December 2015) of dispensing data of prescription opioids in local government areas (LGAs) for New South Wales (NSW), Australia's most populous state, were analyzed. The proportion of individuals who were dispensed opioids was computed for four age-groups. A Chi-square test was used to examine trends over time in proportions of the population who were dispensed opioids in four age-groups. The number of prescriptions over time and quantities in daily defined dose/1000 people/day (denoted DDD) were also examined. LGAs with relatively high levels of dispensing were identified and mapped. A multivariate regression model was used to identify factors associated with DDD. Results: Overall, codeine, oxycodone and tramadol were the main opioids in terms of DDD, number of prescriptions and number of individuals who were dispensed these medications. Quantity (in DDD), and population dispensed to were consistently higher for women than men over time. Proportions of individuals who were dispensed opioids increased significantly over time in all four age-groups. In the multivariate model, age, urbanization, sex and socio-economic indexes for areas were significantly associated with doses dispensed among opioid users. All areas with very high dispensing were outside major metropolitan areas. Conclusions: Given that over-use of opioids is a major public health problem and that long-term use has substantial side effects including dependence, it is important to understand spatial patterns of opioid prescribing to enable targeted interventions. Nationwide implementation of real-time drug-monitoring programs and access to monitoring databases from both doctor and pharmacy point-of-care sources may potentially reduce excessive and undue use of opioid. [ABSTRACT FROM AUTHOR]