Evidence map›Paper›PMID 29866084›Full record

ArticleBMC oral health2018

Using focus groups to design systems science models that promote oral health equity.

Susan S Kum, Mary E Northridge, Sara S Metcalf

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2018. 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
2.1field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Complex System Approaches for Animal Health Surveillance.Frontiers in veterinary science · 2019
    Review
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

3 authors at 3 institutions in 1 country.

Susan S KumDepartment of Geography, The State University of New York at Buffalo, 115 Wilkeson Quad, Ellicott Complex, Buffalo, NY, 14261-0055, USA.
Mary E NorthridgeDepartment of Epidemiology and Health Promotion, New York University College of Dentistry, 433 First Avenue, Room 726, New York, NY, 10010, USA. men6@nyu.edu.ORCID 0000-0003-0358-8930
Sara S MetcalfDepartment of Geography, The State University of New York at Buffalo, 115 Wilkeson Quad, Ellicott Complex, Buffalo, NY, 14261-0055, USA.
New York University · USUniversity at Buffalo, State University of New York · USYork University · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Institutional Clinical and Translational Science AwardUL1TR000038 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL, HOCHMAN, JUDITH S · 2012 to 2014
$16.8M
Integrating Social and Systems Science Approaches to Promote Oral Health EquityR01DE023072 · NIDCR · NEW YORK UNIVERSITY · PI KUNZEL, CAROL, METCALF, SARA · 2012 to 2016
$4.0M
NCATS NIH HHS UL1 TR000038NCATS NIH HHS UL1 TR001445NIDCR NIH HHS R01 DE023072
6 · The paper itself

Abstract

backgroundWhile the US population overall has experienced improvements in oral health over the past 60 years, oral diseases remain among the most common chronic conditions across the life course. Further, lack of access to oral health care contributes to profound and enduring oral health inequities worldwide. Vulnerable and underserved populations who commonly lack access to oral health care include racial/ethnic minority older adults living in urban environments. The aim of this study was to use a systematic approach to explicate cause and effect relationships in creating a causal map, a type of concept map in which the links between nodes represent causality or influence.

methodsTo improve our mental models of the real world and devise strategies to promote oral health equity, methods including system dynamics, agent-based modeling, geographic information science, and social network simulation have been leveraged by the research team. The practice of systems science modeling is situated amidst an ongoing modeling process of observing the real world, formulating mental models of how it works, setting decision rules to guide behavior, and from these heuristics, making decisions that in turn affect the state of the real world. Qualitative data were obtained from focus groups conducted with community-dwelling older adults who self-identify as African American, Dominican, or Puerto Rican to elicit their lived experiences in accessing oral health care in their northern Manhattan neighborhoods.

resultsThe findings of this study support the multi-dimensional and multi-level perspective of access to oral health care and affirm a theorized discrepancy in fit between available dental providers and patients. The lack of information about oral health at the community level may be compromising the use and quality of oral health care among racial/ethnic minority older adults.

conclusionsWell-informed community members may fill critical roles in oral health promotion, as they are viewed as highly credible sources of information and recommendations for dental providers. The next phase of this research will involve incorporating the knowledge gained from this study into simulation models that will be used to explore alternative paths toward improving oral health and health care for racial/ethnic minority older adults.

Indexed as

Focus GroupsHealth EquityOral HealthSystems TheoryAgedAged, 80 and overDecision MakingHealthcare DisparitiesHealth PromotionHumansMiddle AgedMinority GroupsAgent-based modelingCommunity-based oral health careDental public healthFocus group analysisOlder adultsOral health equityOral public healthQualitative analysisRacial/ethnic minoritiesSystems science

Identifiers

PMID29866084
PMCPMC5987593
OpenAlexW2805263337

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.