Evidence map›Paper›PMID 33028312›Full record

ArticleBMC public health2020

An audit tool for longitudinal assessment of the health-related characteristics of urban neighborhoods: implementation methods and reliability results.

Madhumita Ghosh-Dastidar, Gerald P Hunter, Jennifer C Sloan, Rebecca L Collins, Andrea S Richardson, Wendy Troxel, Natalie Colabianchi, Tamara Dubowitz

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Madhumita Ghosh-DastidarRAND Corporation Santa Monica, 1776 Main St, Santa Monica, CA, 90401, USA. bonnieg@rand.org.
Gerald P HunterRAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA.
Jennifer C SloanThe Pittsburgh Foundation, Five PPG Place, Suite 250, Pittsburgh, PA, 15222, USA.
Rebecca L CollinsRAND Corporation Santa Monica, 1776 Main St, Santa Monica, CA, 90401, USA.
Andrea S RichardsonRAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA.
Wendy TroxelRAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA.
Natalie ColabianchiUniversity of Michigan, 1402 Washington Heights, Ann Arbor, MI, 48109-2013, USA.
Tamara DubowitzRAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA.
RAND Corporation · USPittsburgh Foundation · USUniversity of Michigan–Ann Arbor · US

Funding

Urban Revitalization and Long-Term Effects on Diet, Economic, and Health OutcomesR01CA149105 · NCI · RAND CORPORATION · PI DUBOWITZ, TAMARA · 2010 to 2021
$7.9M
Natural Experiment of Neighborhood Revitalization and Cardiometabolic HealthR01HL131531 · NHLBI · RAND CORPORATION · PI GARY-WEBB, TIFFANY L, TROXEL, WENDY M · 2016 to 2019
$3.0M
NCI NIH HHS R01 CA149105NHLBI NIH HHS R01HL1122460NHLBI NIH HHS R01 HL131531NHLBI NIH HHS R01HL131531
6 · The paper itself

Abstract

backgroundImproving the neighborhood environment may help address chronic disease and mortality. To identify neighborhood features that are predictors of health, objective assessments of the environment are used. Multiple studies have reported on cross-sectional assessments of health-related neighborhood features using direct observation. As study designs expand to better understand causation and predictors of change, there is a need to test whether direct observation methods are adequate for longitudinal assessment. To our knowledge, this is the first study to report on the reliability of repeated measurements of the neighborhood environment, and their stability, over time.

methodsThe Pittsburgh Hill/Homewood Research on Neighborhood Change and Health (PHRESH) study conducted longitudinal assessments in two low-income, African American neighborhoods at three waves (years 2012, 2015, 2017). The PHRESH audit tool is a modification of earlier validated tools, with an emphasis on environment features relevant for physical activity, sleep, and obesogenic behaviors. Trained data-collector pairs conducted direct observations of a 25% sample of street segments in each neighborhood. At each wave, we audited a sub-sample of street segments twice and assessed reliability using percentage inter-observer agreement and krippendorf's alpha statistics. Stability of these items was assessed as exhibiting moderate or high agreement at every time point.

resultsAcross waves, a majority (81%) of the items consistently demonstrated moderate to high agreement except for items such as public/communal space, amount of shade, sidewalk features, number of traffic lanes, garden/flower bed/planter, art/statue/monument, amount of trash, and physical disorder. The list of items with poor agreement includes features that are easy to miss (e.g. flower bed/planter), hard to assess from outside (e.g. public/communal space), or may change quickly (e.g. amount of trash).

conclusionIn this paper, we have described implementation methods, reliability results and lessons learned to inform future studies of change. We found the use of consistent methods allowed us to conduct reliable, replicable longitudinal assessments of the environment. Items that did not exhibit stability are less useful for detecting real change over time. Overall, the PHRESH direct observation tool is an effective and practical instrument to detect change in the neighborhood environment.

Indexed as

Environment DesignResidence CharacteristicsCross-Sectional StudiesHumansPovertyReproducibility of ResultsAudit toolBuilt environmentDirect observationLongitudinal assessmentNeighborhood environmentReliability

Identifiers

PMID33028312
PMCPMC7542910
OpenAlexW3092369269

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.