Evidence map›Paper›PMID 38846262›Full record

ArticleEthnicity & disease2023

An Equity-Based Scoring System for Evaluating Surveillance-Related Harm in Public Health Crises.

Bita Amani, Breann McAndrew, Mienah Z Sharif, Jamie Garcia, Ezinne Nwankwo, Alejandra Cabral, Consuela Abotsi-Kowu, Hamid Khan, Cindy Le, Monica L Ponder and 1 more

Abstract read
In one paragraph

Article in Ethnicity & disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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. Article
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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

11 authors.

Bita AmaniDepartment of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA.
Breann McAndrewDepartment of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA.
Mienah Z SharifCenter for the Study of Racism, Social Justice & Health, Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.
Jamie GarciaDepartment of Communication, Culture & Media Studies, Cathy Hughes School of Communications, Howard University, Washington, DC.
Ezinne NwankwoCenter for the Study of Racism, Social Justice & Health, Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.
Alejandra CabralCenter for the Study of Racism, Social Justice & Health, Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.
Consuela Abotsi-KowuCenter for the Study of Racism, Social Justice & Health, Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.
Hamid KhanStop LAPD Spying Coalition, Abolitionist Organization, Los Angeles, CA.
Cindy LeCenter for the Study of Racism, Social Justice & Health, Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.
Monica L PonderDepartment of Communication, Culture & Media Studies, Cathy Hughes School of Communications, Howard University, Washington, DC.
Chandra L FordCenter for the Study of Racism, Social Justice & Health, Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.

Funding

Sustaining Faculty Development & Community EngagementS21MD000103 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI CARLISLE, DAVID M · 2001 to 2015
$73.9M
NIMHD NIH HHS S21 MD000103
6 · The paper itself

Abstract

Background: Although surveillance systems used to mitigate disasters serve essential public health functions, communities of color have experienced disproportionate harms (eg, criminalization) as a result of historic and enhanced surveillance. Methods: To address this, we developed and piloted a novel, equity-based scoring system to evaluate surveillance systems regarding their potential and actual risk of adverse effects on communities made vulnerable through increased exposure to policing, detention/incarceration, deportation, and disruption of access to social services or public resources. To develop the scoring system, we reviewed the literature and surveyed an expert panel on surveillance to identify specific harms (eg, increased policing) that occur through surveillance approaches. Results: Scores were based on type of information collected (individual and/or neighborhood level) and evidence of sharing information with law enforcement. Scores were 0 (no risk of harm identified), 1 (potential for risk), 2 (evidence of risk), and U (data not publicly accessible). To pilot the scoring system, 44 surveillance systems were identified between June 2020 and October 2020 through an environmental scan of systems directly related to COVID-19 (n=21), behavioral and health-related services (n=11), and racism and racism-related factors (n=12). A score of 0-2 was assigned to 91% (n=40) of the systems; 9% were scored U; 30% (n=13) scored a 0. Half scored a 1 (n=22), indicating a "potential for the types of harm of concern in this analysis." "Evidence of harm," a score of 2, was found for 12% (n=5). Conclusions: The potential for surveillance systems to compromise the health and well-being of racialized and/or vulnerable populations has been understudied. This project developed and piloted a scoring system to accomplish this equity-based imperative. The nobler pursuits of public health to improve the health for all must be reconciled with these potential harms.

Indexed as

COVID-19Public HealthHumansPopulation SurveillanceRacismUnited StatesBig DataCOVIDHealth Inequities/Health EquityPolicingRacism

Identifiers

PMID38846262
PMCPMC11152151

What OpenQuestion holds

Textmetadata
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Registered trials

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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.