Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation.

BACKGROUND: Alcohol-related harm is a major global health issue, and controls on alcohol marketing are one intervention utilized by governments. This study investigated the use of Google Street View (GSV) as a novel research method for collecting alcohol-related data in the urban environment. METHODS: The efficacy of GSV and on-street observation by observer teams was compared by surveying 400 m stretches of 12 streets in Wellington, the capital city of New Zealand. Data on alcohol sale, alcohol-related advertising, health promotion materials, regulatory information and visible alcohol consumption were collected. RESULTS: A total of 403 retailers with evidence of alcohol sales and 1161 items of alcohol-related communication were identified in on-street observation. Of the latter, 1028 items (89 %) were for alcohol marketing and 133 (11 %) were for alcohol-related health promotion and alcohol regulation. GSV was found to be a less sensitive tool than on-street observation with only 50 % of the alcohol venues identified and 52 % of the venue-associated brand marketing identified. A high degree of inter-observer reliability was generally found between pairs of observers e.g., for the detection of alcohol retail venues the intra-class correlation coefficient (ICC) was 0.93 (95 % CI: 0.78 to 0.98) for on-street observation and 0.85 (95 % CI: 0.49 to 0.96) for using GSV. CONCLUSIONS: GSV does not seem suitable for the comprehensive study of the influences on alcohol consumption in the urban streetscape. However, it may still have value for large, static objects in the environment and be more time efficient than traditional on-street observation measures, especially when used to collect data across a wide geographical area. Furthermore, GSV might become a more useful research tool in settings with better image quality (such as more 'footpath views') and with more regularly updated GSV imagery.

Association of ethnicity with unintentional injury-related hospitalisation and mortality among older people residing in two regions of Aotearoa New Zealand.

OBJECTIVES: To characterise unintentional injury-related hospitalisation and mortality amongst older adults (aged 50+ years) in the Lakes and Bay of Plenty District Health Boards of Aotearoa New Zealand and to examine whether hospitalisation patterns differed by ethnicity. METHODS: This observational study analysed unintentional injury-related hospitalisations and deaths among older adults between 2014 and 2018. Routinely collected national data sets were used to calculate annualised, age-standardised injury rates. The independent variable of interest was ethnicity (Maori or non-Maori). RESULTS: There were 11,834 unintentional injury-related hospitalisations in the study period (n = 1444 for Maori). Overall, there was no significant difference in the age-standardised hospitalisation rate between Maori and non-Maori (Standardised Rate Ratio [SRR] = 0.96 [95% CI 0.90, 1.02]). Falls were the most common mechanism of injury among Maori and non-Maori overall (50% and 71%) and relative risks of falls increased with age. Non-Maori were 57% less likely to be hospitalised for unintentional poisoning than Maori (SRR = 0.43, [0.34, 0.59]). CONCLUSIONS: The mechanisms of injury, and variation in unintentional injury-related hospitalisation rates between Maori and non-Maori, change throughout older age, and incidence increase0073 with age. Falls cause significant injury-related hospitalisations for older Maori and responsive injury prevention and rehabilitation efforts are warranted to achieve equitable health outcomes.