Evidence map›Paper›PMID 30140583›Full record

ArticleNeurology. Clinical practice2018

Diagnoses and other predictors of patient absenteeism in an outpatient neurology clinic.

David H Do, James E Siegler

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Predictors of No-Show in Neurology Clinics.Healthcare (Basel, Switzerland) · 2022
    Article
  3. Article
  4. 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 at 1 institution in 1 country.

David H DoDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia.
James E SieglerDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia.
Hospital of the University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to determine the neurologic diagnosis or diagnostic categories that are associated with a higher probability of honoring a scheduled follow-up visit in the outpatient clinic.

methodsWe conducted a retrospective analysis of patients evaluated over a 3-year period (July 2014-June 2017) at a single neurology clinic in an urban location. Adult patients who honored an initial scheduled outpatient appointment were included. Only diagnoses with a ≥0.5% prevalence at our center were analyzed. Mixed-effects logistic regression was used to determine association of independent variables and honored follow-up visits.

resultsOf 61,232 scheduled outpatient subsequent encounters for 20,729 unique patients, the overall absenteeism rate was 12.5% (95% confidence interval [CI] 12.2%-12.8%). Independent risk factors associated with absenteeism included younger age, black or Latino race/ethnicity, Medicaid/Medicare payor status, and longer delay from appointment scheduling to appointment date. In mixed-effects logistic regression, diagnoses associated with the lowest odds of showing were medication overuse headache (show rate 79.2%, odds ratio [OR] for honoring appointment 0.67, 95% CI 0.48-0.93) and depression (rate 85.9%, OR 0.82, 95% CI 0.70-0.97), whereas the diagnoses associated with the greatest odds of showing included Charcot-Marie-Tooth disease (rate 96.3%, OR 2.54, 95% CI 1.44-4.49) and aphasia (rate 95.9%, OR 2.34, 95% CI 1.28-4.30).

conclusionsCertain chronic neurologic diseases, such as medication overuse headache and depression, were associated with a significantly lower odds of honoring scheduled follow-up conditions. As these conditions influence quality of life and productivity, patients with these illnesses may benefit from selective targeting to encourage adherence with scheduled follow-up appointments.

Identifiers

PMID30140583
PMCPMC6105067
OpenAlexW2825997517

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.