Evidence map›Paper›PMID 42238542›Full record

ArticleJournal of rehabilitation2017

Minority-Serving Institution Disability and Rehabilitation/Health Research Capacity-Building and Infrastructure Model: An 8-Year Multi-Site Longitudinal Study.

Corey L Moore, Edward O Manyibe, Andre L Washington, Penghua Wang

Abstract read
In one paragraph

Article in Journal of rehabilitation, 2017. 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

4 authors.

Corey L Moore
Edward O Manyibe
Andre L Washington
Penghua Wang

Funding

ACL HHS 90RTST0001
6 · The paper itself

Abstract

The purpose of this 8-year longitudinal study was to evaluate the institutional research capacity building and infrastructure model (IRCBIM), an innovative and integrated approach designed to build, strengthen, and sustain adequate disability and rehabilitation/health research capacity (i.e., research infrastructure and research skills) at minority-serving institutions (MSIs) in the United States (U.S.). A mixed methods design was used to assess IRCBIM based on the perspectives of three different study cohorts (i.e., MSI-based faculty members, staff/administrators, and students) across five different research-active institutions (RAIs). An online survey and semi-structured face-to-face and telephone interviews were used to collect data at multiple time points. The results show that participants perceived IRCBIM as effective in strengthening research capacity, catalyzing scientific productivity, and contributing to the diversification and broadening of the biomedical, behavioral, and social science in disability and rehabilitation/health research workforce. Advantages and challenges of implementing the model at these institutions are discussed. The successful implementation of the model at MSIs/RAIs represents a paradigm shift that demands the federal agency science and innovation ecosystem (i.e., National Institute on Disability, Independent Living, and Rehabilitation Research [NIDILRR], National Institutes of Health [NIH], and National Science Foundation [NSF]) become more inclusive and promotes a clearer connection between MSIs and the advancement of disability and rehabilitation science.

Indexed as

behavioralbiomedicallongitudinal evaluationminority-serving institutionspeople with disabilities from racial and ethnic minority populationsResearch capacity building modelsocial science research workforce diversity

Identifiers

PMID42238542
PMCPMC13227565

What OpenQuestion holds

Textmetadata
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.