Evidence map›Paper›PMID 36120879›Full record

ArticleProgress in community health partnerships : research, education, and action2022

Community-based Systems Dynamics for Reproductive Health: An Example from Urban Ohio.

Ayaz Hyder, Mikaela Smith, Shawnita Sealy-Jefferson, Robert B Hood, Shibani Chettri, Ashley Dundon, Abigail Underwood, Danielle Bessett, Alison H Norris

Abstract read
In one paragraph

Article in Progress in community health partnerships : research, education, and action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Ayaz Hyder
Mikaela Smith
Shawnita Sealy-Jefferson
Robert B Hood
Shibani Chettri
Ashley Dundon
Abigail Underwood
Danielle Bessett
Alison H Norris

Funding

Institute for Population ResearchP2CHD058484 · NICHD · OHIO STATE UNIVERSITY · PI HAYFORD, SARAH R · 2014 to 2023
$5.0M
NICHD NIH HHS P2C HD058484
6 · The paper itself

Abstract

backgroundHealth outcomes, risk factors, and policies are complexly related to the reproductive health system. Systems-level frameworks for understanding and acting within communities through community-engaged research are needed to mitigate adverse reproductive health outcomes more effectively within the community.

objectivesTo describe and share lessons learned from an ongoing application of a participatory modeling approach (community-based system dynamics) that aims to eliminate racial inequities in Black-White reproductive health outcomes.

methodsThe community-based system dynamics approach involves conducting complementary activities, workshops, modeling, and dissemination. We organized workshops, co-developed a causal loop diagram of the reproductive health system with participants from the community, and created materials to disseminate workshop findings and preliminary models. LESSONS LEARNED: Many opportunities exist for cross-fertilization of best practices between community-based system dynamics and community-based participatory research. Shared learning environments offer benefits for modelers and domain experts alike. Additionally, identifying local champions from the community helps manage group dynamics.

conclusionsCommunity-based system dynamics is well-suited for understanding complexity in the reproductive health system. It allows participants from diverse perspectives to identify strategies to eliminate racial inequities in reproductive health outcomes.

Indexed as

Community-Based Participatory ResearchReproductive HealthHumansOhio

Identifiers

PMID36120879
PMCPMC9709633

What OpenQuestion holds

Textmetadata
LicenceTDM
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.