Evidence map›Paper›PMID 35518832›Full record

ArticleProceedings (Baylor University. Medical Center)2022

Decreasing waiting time for new patients at a community pain clinic.

Ahmad Elsharydah, Jennifer Wu, Frederick C Li

Open access · greenAbstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Ahmad ElsharydahDepartment of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center at Dallas and Parkland Health, Dallas, Texas.
Jennifer WuDepartment of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center at Dallas and Parkland Health, Dallas, Texas.
Frederick C LiDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California.
Southwestern Medical Center · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long waiting time to access pain medicine clinics poses a significant mental, physical, and socioeconomic burden on patients with chronic pain. This project aimed to develop interventions to reduce the waiting time for new referrals. We used the define, measure, analyze, improve, control (DMAIC) method. Clinic data were analyzed over a 6-month period. Pilot interventions were then implemented in one provider's clinic over a 3-month period. Outcome measures included the number of new patients seen, number of "no shows," and number of patients on the waitlist. Late cancellation and no shows were the main causes of the clinic lost time. Interventions to reduce unutilized clinic time were implemented, including making appointment reminder calls, identifying cancellations in advance, and adding slots on the provider's template to account for cancellations and no shows. These interventions resulted in a 16% decrease in no shows, a 60% increase in new patients seen, and a significant 47% reduction in the number of patients on the entire clinic waitlist. These findings suggest that simple procedures and changes in the clinic identified via a quality improvement process can significantly improve clinic time utilization.

Indexed as

Chronic painclinic waitlistDMAICpain clinicquality improvement

Identifiers

PMID35518832
PMCPMC9037408
OpenAlexW4220775755

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.