Showing 1 - 20 results of 260 for search '"Auckland"', query time: 0.06s Refine Results
  1. 1

    Mapping the extent of unhealthy food advertising around schools in Tāmaki Makaurau/Auckland by Karolina Kneller, Kelly Garton, Daniel J. Exeter, Victoria Egli

    Published 2025-01-01
    “…Using a combination of datasets from separate studies, this research seeks to describe the extent of children’s unhealthy food/drink advertising exposure in all primary and intermediate school food zones (n = 381) in Tāmaki Makaurau, Auckland, and assess whether this exposure correlates with indicators of neighbourhood deprivation. …”
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  2. 2

    Barriers and enablers of access to diabetes eye care in Auckland, New Zealand: a qualitative study by David Squirrell, Matire Harwood, Jacqueline Ramke, Corina Grey, Rinki Murphy, Pushkar Raj Silwal, Maryam Pirouzi

    Published 2025-01-01
    “…Objective To explore the barriers and enablers to accessing diabetes eye care services among adults in Auckland.Design This was a qualitative study that used semistructured interviews. …”
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  3. 3

    What’s going on at the bus stop? The impact of Auckland’s real time passenger information system on patrons timespace perceptions by Phillipa Mitchell

    Published 2007-12-01
    “…This paper focuses on one of these systems, the Real Time Passenger Information Signal Pre-emption System (RTPISP System) currently being installed in Auckland, New Zealand. It explores how individuals’ travel experiences are being shaped by interface the RTPISP System provides between the ubiquitous computing background and individuals’ everyday lives. …”
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    Examining reliability of WHOBARS: a tool to measure the quality of administration of WHO surgical safety checklist using generalisability theory with surgical teams from three New... by Jennifer M Weller, Carmen Skilton, Derryn A Gargiulo, Oleg N Medvedev, Simon J Mitchell, Alan F Merry

    Published 2019-01-01
    “…In this context, extending reliability refers to establishing generalisability of the tool scores across populations of teams and raters by accounting for the relevant sources of measurement errors.Design Cross-sectional random effect measurement design assessing surgical teams by the five items on the three Checklist phases, and at three sites by two trained raters simultaneously.Setting The data were collected in three tertiary hospitals in Auckland, New Zealand in 2016 and included 60 teams observed in 60 different cases with an equal number of teams (n=20) per site. …”
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