Evidence map›Paper›PMID 40351199›Full record

ArticleJournal of health care for the poor and underserved2025

How Community-Based Organizations View and Use Data: Practices, Challenges, and Opportunities.

Molly A Martin, Jose Echeverria, DeAnthoni Wilkins, Preethi Navalpakkam, Samuel Battalio, Jacquelyn Jacobs, Jennifer Holcomb, Madison Hartstein, Milkie Vu, Bonnie Spring

Abstract read
In one paragraph

Article in Journal of health care for the poor and underserved, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Molly A Martin
Jose Echeverria
DeAnthoni Wilkins
Preethi Navalpakkam
Samuel Battalio
Jacquelyn Jacobs
Jennifer Holcomb
Madison Hartstein
Milkie Vu
Bonnie Spring

Funding

NHLBI Maternal Morbidity and Mortality (3M) Administrative Coordinating CenterOT2HL158287 · NHLBI · WESTAT, INC. · PI Chanza Baytop · 2020 to 2026
$433.8M
NHLBI NIH HHS OT2 HL158287
6 · The paper itself

Abstract

This analysis aimed to define the data needs of community-based organizations (CBOs) after the COVID-19 pandemic. Through a mixed-methods explanatory sequential design during the summer/fall of 2023, 51 CBOs completed surveys and 24 participated in subsequent interviews. The CBOs provided social services to Black, Latinx, Asian, and/or low-income communities in the Chicago region. They varied in size, funding sources, and focus areas. Results showed that all used data, and 82.4% used population-level data. Data use expansion was limited by funding, staffing, data management systems, and skills. Existing population-level data was not sufficiently hyper-local, updated, and culturally appropriate to meet CBOs' needs. Community-based organization data needs and challenges have not changed significantly post-COVID despite rapid expansion of data availability. Findings highlight a need for long-term infrastructure funding and partnership from external agencies. Flexible tailored approaches to support CBOs are essential to increase social trust in data and ensure CBO missions remain community-driven.

Indexed as

OrganizationsSocial WorkChicagoCOVID-19Humans

Identifiers

PMID40351199
PMCPMC12917912

What OpenQuestion holds

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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.