Evidence map›Paper›PMID 37192191›Full record

Trial reportPloS one2023

Integrating social services with disease investigation: A randomized trial of COVID-19 high-touch contact tracing.

Lisa C Lu, Derek Ouyang, Alexis D'Agostino, Angelica Diaz, Sarah L Rudman, Daniel E Ho

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Lisa C LuRegulation, Evaluation, and Governance Lab, Stanford University, Stanford, California, United States of America.ORCID 0000-0001-6060-9481
Derek OuyangRegulation, Evaluation, and Governance Lab, Stanford University, Stanford, California, United States of America.ORCID 0000-0001-7823-0752
Alexis D'AgostinoCounty of Santa Clara Public Health Department, San Jose, California, United States of America.
Angelica DiazCounty of Santa Clara Public Health Department, San Jose, California, United States of America.
Sarah L RudmanCounty of Santa Clara Public Health Department, San Jose, California, United States of America.
Daniel E HoRegulation, Evaluation, and Governance Lab, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-2195-5469
Santa Clara County Behavioral Health Services · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 exposed and exacerbated health disparities, and a core challenge has been how to adapt pandemic response and public health in light of these disproportionate health burdens. Responding to this challenge, the County of Santa Clara Public Health Department designed a model of "high-touch" contact tracing that integrated social services with disease investigation, providing continued support and resource linkage for clients from structurally vulnerable communities. We report results from a cluster randomized trial of 5,430 cases from February to May 2021 to assess the ability of high-touch contact tracing to aid with isolation and quarantine. Using individual-level data on resource referral and uptake outcomes, we find that the intervention, randomized assignment to the high-touch program, increased the referral rate to social services by 8.4% (95% confidence interval, 0.8%-15.9%) and the uptake rate by 4.9% (-0.2%-10.0%), with the most pronounced increases in referrals and uptake of food assistance. These findings demonstrate that social services can be effectively combined with contact tracing to better promote health equity, demonstrating a novel path for the future of public health.

Indexed as

COVID-19Contact TracingHealth PromotionHumansSARS-CoV-2Social WorkTouch

Identifiers

PMID37192191
PMCPMC10187910
OpenAlexW4376871459

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.