Evidence map›Paper›PMID 38185859›Full record

ArticleJournal of primary care & community health

Emergency Department and Dental Clinic Perceptions of Appropriate, and Preventable, Use of the ED for Non-Traumatic Dental Conditions in Hot-Spot Counties: A Mixed Methods Study.

Shawnda Schroeder, Judy Beck, Nikki Medalen, Anastasia Stepanov

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shawnda SchroederUniversity of North Dakota, Grand Forks, ND, USA.ORCID 0000-0002-5733-4285
Judy BeckNorth Dakota Department of Health and Human Services, Bismarck, ND, USA.
Nikki MedalenQuality Health Associates of North Dakota, Minot, ND, USA.
Anastasia StepanovQuality Health Associates of North Dakota, Minot, ND, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFrequency of emergency department (ED) use for nontraumatic dental conditions (NTDC) is a well-researched community health concern. However, research predominately relies on ambulatory ED discharge records. This explanatory sequential mixed methods study reviewed NTDC ED use in hot-spot counties and assessed perceptions around preventable and appropriate use among EDs and dental clinics.

methodsTooth pain data (2015-2021) were drawn from State Medicaid, and the Early Notification of Community-Based Epidemics (ESSENCE). NTDC data were compiled using International Classification of Disease, Ninth and Tenth Revisions. Employing extreme case sampling, providers in counties with the highest per-capita NTDC ED use were interviewed.

resultsNorth Dakota experienced a decline in NTDC ED visits between 2017 and 2020, though the rate is now increasing. The greatest proportion of NTDC ED visits were among persons ages 20 to 34 and 35 to 44. ED and dental care staff have misconceptions around each other's roles in reducing NTDC ED visits, but unanimously suggest community-level prevention as a solution.

conclusionsNTDC ED use was perceived as "appropriate" care. However, there is consensus that improved access to, and utilization of, affordable and quality preventative dental care would reduce NTDC ED visits and improve overall community health, especially among populations experiencing greater inequities.

Indexed as

Dental ClinicsEmergency Room VisitsEmergency Service, HospitalHumansMedicaidPatient DischargeUnited Statesdentalemergency departmentsMedicaidpainpopulation health

Identifiers

PMID38185859
PMCPMC10773277

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Registered trials

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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.