ArticleInternational journal of health geographics2022
Validation of desk-based audits using Google Street View
Article in International journal of health geographics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Measuring Street Built Environments for Children's Use: A Systematic Review of Measurement Tools.Journal of urban health : bulletin of the New York Academy of Medicine · 2025Pooled it
- Distinguishing associations between neighbourhood features and physical inactivity, sedentary behaviour time, and screen time in boys and girls.Journal of activity, sedentary and sleep behaviors · 2025Article
- Correction: Validation of desk‑based audits using Google Street ViewInternational journal of health geographics · 2022Article
- Identifying risk profiles for excess sedentary behaviour in youth using individual, family and neighbourhood characteristics.Preventive medicine reports · 2021Article
- Go-Along Virtual INTERview (GVIv): A Novel Nurse-Led Qualitative Method for Exploring Neighborhood Lived Experience and Health.Global qualitative nursing researchArticle
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundThe suitability of geospatial services for auditing neighbourhood features relevant to pediatric obesity remains largely unexplored. Our objectives were to (i) establish the measurement properties of a desk-based audit instrument that uses Google Street View
methodsOn-site audits of 55 street- and neighbourhood-level features were completed in 2008 in 512 neighbourhoods from the QUALITY cohort study. In 2015, both repeat on-site and desk-based audits were completed in a random sample of 30 of these neighbourhoods.
resultsAgreement between both methods was excellent for almost all street segment items (range 91.9-99.7%), except for road type (81.0%), ads/commercial billboards (81.7%), road-sidewalk buffer zone (76.1%), and road-bicycle path buffer zone (53.3%). It was fair to poor for perceived quality, safety and aesthetics items (range 59.9-87.6%), as well as for general impression items (range 40.0-86.7%). The desk-based method over-detected commercial billboards and road-sidewalk buffer zone, and generally rated neighbourhoods as less safe, requiring more effort to get around, and having less aesthetic appeal. Change detected over the 8-year period was generally similar for both methods, except that the desk-based method appeared to amplify the increase in the number of segments with signs of social disorder.
conclusionsThe QUALITY-NHOOD tool is deemed adequate for evaluating and monitoring changes in pedestrian- and traffic-related features applicable to pediatric populations. Applications for monitoring the obesogenic nature of neighbourhoods appear warranted.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.