Evidence map›Paper›PMID 38605075›Full record

ArticleEye (London, England)2024

Factors influencing treatment and time spent with physicians in patients with uveitis compared to other ophthalmology subspecialties in the National Ambulatory Medical Care Survey.

Rayna F Marshall, Meghan Berkenstock

Abstract readComparative Study
In one paragraph

Article in Eye (London, England), 2024. 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

2 authors.

Rayna F MarshallDrexel University College of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6961-1278
Meghan BerkenstockDivision of Ocular Immunology, Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, MD, USA. mberken2@jhmi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCases of uveitis can necessitate long-term treatment resulting in recurrent follow-up appointments. Analysing the demographic distribution and patient factors influencing treatment and time spent with physicians in this population compared to other subspecialties of ophthalmology using the National Ambulatory Medical Care Survey (NAMCS) has not previously been studied.

methodsData were extracted from the NAMCS database, a large, nationally representative survey of office-based specialists, entered between 2012-2016 and 2018. Demographics, time with physician, and payor types were compared between patients with a uveitis-related diagnosis codes versus all other ophthalmic subspecialty diagnoses.

resultsOverall, 12,870 ophthalmic patients were included of which 300 had uveitis-related diagnosis codes. Uveitis patients were more likely to be non-Caucasian (p < 0.0001 to p = 0.022), visiting the physician's office due to flare of or treatment for a chronic medical problem (p < 0.0001 to p = 0.022). Adjusted for age, sex, race, and ethnicity, uveitis patients spent a significantly longer time (mean 27.5 min) compared to comprehensive ophthalmology patients (mean 25.5 min) with their physician (p = 0.0041). Among the uveitis patient population, African American patients (p = 0.0053), Hispanic or Latino (p = 0.034), and Medicaid (p = 0.035) patients had increased office visit times.

conclusionsThose with uveitis spent more time with the physician than comprehensive patients. Race, ethnicity, payor type, and the major reason for the visit all significantly impacted uveitis office visit times. In order to manage their schedules, providers should be aware of the additional support and time needed by these patients during office visits.

Indexed as

Health Care SurveysOphthalmologyUveitisAdultAgedAmbulatory CareFemaleHumansMaleMiddle AgedOffice VisitsTime FactorsUnited States

Identifiers

PMID38605075
PMCPMC11384664

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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.