A Reliable, Feasible Method to Observe Neighborhoods at High Spatial Resolution.

ABSTRACT:

Introduction

Systematic social observation (SSO) methods traditionally measure neighborhoods at street level and have been performed reliably using virtual applications to increase feasibility. Research indicates that collection at even higher spatial resolution may better elucidate the health impact of neighborhood factors, but whether virtual applications can reliably capture social determinants of health at the smallest geographic resolution (parcel level) remains uncertain. This paper presents a novel, parcel-level SSO methodology and assesses whether this new method can be collected reliably using Google Street View and is feasible.

Methods

Multiple raters (N=5) observed 42 neighborhoods. In 2016, inter-rater reliability (observed agreement and kappa coefficient) was co

SUBMITTER: Kepper MM 

PROVIDER: S-EPMC5233427 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature