Government data v. ground observation for food-environment assessment: businesses missed and misreported by city and state inspection records

Public Health Nutr. 2020 Jun;23(8):1414-1427. doi: 10.1017/S1368980019002982. Epub 2019 Nov 4.

Abstract

Objective: To assess the accuracy of government inspection records, relative to ground observation, for identifying businesses offering foods/drinks.

Design: Agreement between city and state inspection records v. ground observations at two levels: businesses and street segments. Agreement could be 'strict' (by business name, e.g. 'Rizzo's') or 'lenient' (by business type, e.g. 'pizzeria'); using sensitivity and positive predictive value (PPV) for businesses and using sensitivity, PPV, specificity and negative predictive value (NPV) for street segments.

Setting: The Bronx and the Upper East Side (UES), New York City, USA.

Participants: All food/drink-offering businesses on sampled street segments (n 154 in the Bronx, n 51 in the UES).

Results: By 'strict' criteria, sensitivity and PPV of government records for food/drink-offering businesses were 0·37 and 0·57 in the Bronx; 0·58 and 0·60 in the UES. 'Lenient' values were 0·40 and 0·62 in the Bronx; 0·60 and 0·62 in the UES. Sensitivity, PPV, specificity and NPV of government records for street segments having food/drink-offering businesses were 0·66, 0·73, 0·84 and 0·79 in the Bronx; 0·79, 0·92, 0·67, and 0·40 in the UES. In both areas, agreement varied by business category: restaurants; 'food stores'; and government-recognized other storefront businesses ('gov. OSB', i.e. dollar stores, gas stations, pharmacies). Additional business categories - 'other OSB' (barbers, laundromats, newsstands, etc.) and street vendors - were absent from government records; together, they represented 28·4 % of all food/drink-offering businesses in the Bronx, 22·2 % in the UES ('other OSB' and street vendors were sources of both healthful and less-healthful foods/drinks in both areas).

Conclusions: Government records frequently miss or misrepresent businesses offering foods/drinks, suggesting caveats for food-environment assessments using such records.

Keywords: Food environment; Food stores; Mobile food vendors; Restaurants; Secondary data; Street vendors; Urban; Validation.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Commerce / statistics & numerical data*
  • Data Collection
  • Environment
  • Food / standards
  • Food Inspection
  • Food Services / standards
  • Food Services / statistics & numerical data*
  • Food Supply / standards
  • Food Supply / statistics & numerical data
  • Government*
  • Humans
  • New York City
  • Observation
  • Records*
  • Residence Characteristics
  • Restaurants / standards
  • Restaurants / statistics & numerical data