Evidence map›Paper›PMID 35455777›Full record

ArticleHealthcare (Basel, Switzerland)2022

Predictors of No-Show in Neurology Clinics.

Hisham Elkhider, Rohan Sharma, Sen Sheng, Jeff Thostenson, Nidhi Kapoor, Poornachand Veerapaneni, Suman Siddamreddy, Faisal Ibrahim, Sisira Yadala, Sanjeeva Onteddu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Veteran Caretaker Perspectives of the Need for Childcare Assistance During Health Care Appointments.Women's health issues : official publication of the Jacobs Institute of Women's Health
    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

11 authors at 4 institutions in 1 country.

Hisham ElkhiderDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-3266-6483
Rohan SharmaDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0002-3005-1867
Sen ShengNeurology Department Epilepsy Division, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
Jeff ThostensonCollege of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Nidhi KapoorDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Poornachand VeerapaneniDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Suman SiddamreddyDepartment of Internal Medicine, Baptist Health, North Little Rock, AR 72117, USA.
Faisal IbrahimDepartment of Neurology, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
Sisira YadalaDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Sanjeeva OntedduDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Krishna NalleballeDepartment of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-4943-171X
University of Arkansas for Medical Sciences · USBaptist Health Foundation · USCleveland Clinic · USUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we aim to identify predictors of a no-show in neurology clinics at our institution. We conducted a retrospective review of neurology clinics from July 2013 through September 2018. We compared odds ratio of patients who missed appointments (no-show) to those who were present at appointments (show) in terms of age, lead-time, subspecialty, race, gender, quarter of the year, insurance type, and distance from hospital. There were 60,012 (84%) show and 11,166 (16%) no-show patients. With each day increase in lead time, odds of no-show increased by a factor of 1.0019 (p < 0.0001). Odds of no-show were higher in younger (p ≤ 0.0001, OR = 0.49) compared to older (age ≥ 60) patients and in women (p < 0.001, OR = 1.1352) compared to men. They were higher in Black/African American (p < 0.0001, OR = 1.4712) and lower in Asian (p = 0.03, OR = 0.6871) and American Indian/Alaskan Native (p = 0.055, OR = 0.6318) as compared to White/Caucasian. Patients with Medicare (p < 0.0001, OR = 1.5127) and Medicaid (p < 0.0001, OR = 1.3354) had higher odds of no-show compared to other insurance. Young age, female, Black/African American, long lead time to clinic appointments, Medicaid/Medicare insurance, and certain subspecialties (resident and stroke clinics) are associated with high odds of no show. Possible suggested interventions include better communication and flexible appointments for the high-risk groups as well as utilizing telemedicine.

Indexed as

COVID-19neurology clinicno-show

Identifiers

PMID35455777
PMCPMC9025597
OpenAlexW4220716651

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.