Evidence map›Paper›PMID 35166781›Full record

ArticleJAMA network open2022

Association of Use of Electronic Appointment Reminders With Waiting Times in the Veterans Affairs Health System.

Lianjun Li, Haiqing Zhao, Noah Lim, Joel Goh, Bernard Ng

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

Lianjun LiGlobal Asia Institute, National University of Singapore, Singapore.
Haiqing ZhaoGlobal Asia Institute, National University of Singapore, Singapore.
Noah LimGlobal Asia Institute, National University of Singapore, Singapore.
Joel GohDepartment of Analytics and Operations, NUS Business School, National University of Singapore, Global Asia Institute, Singapore.
Bernard NgDepartment of Medicine, VA Puget Sound Health Care System, Seattle, Washington.
National University of Singapore · SGVA Puget Sound Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Electronic appointment reminder systems are increasingly used across health systems. However, their association with patients' waiting times for their appointments, a measure of timely access to care, has yet to be assessed. Objective: To assess the associations between the introduction of an electronic appointment reminder system and the number of days patients had to wait from appointment booking to appointment completion in patients in the Veterans Affairs Health System. Design, Setting, and Participants: Cohort study of patients who completed appointments from January 1, 2018, to October 13, 2018, inclusive in all 130 Veterans Affairs (VA) health centers in the US. The study population comprised a census of all patients who received care at any VA health center during the period of the study for outpatient, procedural, rehabilitation, or radiology services. Data were analyzed from May 15, 2021, to December 15, 2021. Exposures: Phased introduction of an electronic appointment reminder system (VEText) in 6 waves spread across the study period. Main Outcomes and Measures: The unit of observation in this study was a completed appointment made by any such patients. Observations were excluded if the appointment was booked before but completed after the exposure, or if data were duplicated, missing, or incomplete. For each completed appointment, the number of days between which the appointment was booked and when it was completed. Results: The number of observations after exclusion comprised 39.5 million completed appointments from 5.1 million patients (91.1% male) with a mean (SD) age of 62.57 (16.24) years. The adoption of VEText was associated with an estimated reduction in patient waiting time by a mean of 6.51 days (95% CI, 5.51-7.52 days). Adoption of VEText was also associated with an increase of 8.54 (95% CI, 7.65-9.44) days of additional waiting per incomplete booking. Conclusions and Relevance: Results of this study suggest that appointment reminder systems may be associated with decreases in the mean number of days patients in the VA system have to wait for their appointments but can potentially lengthen waiting times for patients who miss their bookings. Further study is warranted to assess whether these findings may be generalizable to other populations.

Indexed as

Waiting ListsAdultAgedAged, 80 and overCohort StudiesDelivery of Health CareFemaleHumansMaleMiddle AgedReminder SystemsTime FactorsUnited StatesUnited States Department of Veterans AffairsVeterans

Identifiers

PMID35166781
PMCPMC8848196
OpenAlexW4213015188

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.