Evidence map›Paper›PMID 35346220›Full record

ArticleInternational journal of health geographics2022

Validation of desk-based audits using Google Street View

Jean-Baptiste Roberge, Gisèle Contreras, Lisa Kakinami, Andraea Van Hulst, Mélanie Henderson, Tracie A Barnett

Erratum issuedOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. 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 · 2025
    Pooled it
  2. Article
  3. Correction: Validation of desk‑based audits using Google Street ViewInternational journal of health geographics · 2022
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Jean-Baptiste RobergeCentre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada.
Gisèle ContrerasEpidemiology and Biostatistics Unit, INRS Institut Armand-Frappier, 531 Boulevard Des Prairies, Laval, QC), H7V 1B7, Canada.
Lisa KakinamiDepartment of Mathematics, Concordia University and PERFORM Centre, 7200 Rue Sherbrooke Ouest, Montreal, QC), H4B 1R6, Canada.
Andraea Van HulstIngram School of Nursing, McGill University, 680 Rue Sherbrooke Ouest #1800, Montreal, QC), H3A 2M7, Canada.
Mélanie HendersonCentre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada.
Tracie A BarnettCentre de Recherche du Centre Hospitalier Universitaire Sainte-Justine, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC), H3T 1C5, Canada. tracie.barnett@mcgill.ca.
Institut National de la Recherche Scientifique · CACegep Edouard Montpetit · CAConcordia University · CAMcGill University · CAUniversité de Montréal · CA

Funding

CIHR MOP-119512CIHR MOP-97853CIHR NMD-94067CIHR OHF-69442
6 · The paper itself

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.

Indexed as

Environment DesignSearch EngineChildCohort StudiesHumansPilot ProjectsResidence CharacteristicsBuilt environmentNeighbourhoodPediatric obesityUrban designWalkability

Identifiers

PMID35346220
PMCPMC8961916
OpenAlexW4220869938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.