Evidence map›Paper›PMID 38698881›Full record

ArticleHealth services research and managerial epidemiology

Self-scheduling in a Large Multispecialty and Multisite Clinic: A Retrospective, Longitudinal Examination of Multiple Self-Scheduled Visit Types.

Frederick North, Rebecca Buss, Elissa M Nelson, Matthew C Thompson, Jennifer Pecina, Gregory M Garrison, Brian A Crum

Abstract read
In one paragraph

Article in Health services research and managerial epidemiology. 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
–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

2 citing papers in PubMed.

  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

7 authors.

Frederick NorthDivision of Community Internal Medicine, Geriatrics, and Palliative Care, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-3696-4595
Rebecca BussEnterprise office of Access Management, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-4583-4987
Elissa M NelsonEnterprise office of Access Management, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-4516-379X
Matthew C ThompsonEnterprise office of Access Management, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0003-0282-9181
Jennifer PecinaDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0003-1970-1344
Gregory M GarrisonDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0001-6903-4610
Brian A CrumEnterprise office of Access Management, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0002-2624-0649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-scheduling of medical visits is becoming available at many medical institutions. We aimed to examine the self-scheduled visit counts and rate of growth of self-scheduled visits in a multispecialty practice. Methods: For 85 weeks extending from January 1, 2022 through August 24, 2023, we examined self-scheduled visit counts for over 1500 self-scheduled visit types. We compared completed self-scheduled visit counts to all scheduled completed visit counts for the same visit types. We collected counts of the most frequently self-scheduled visit types for each week and examined the change over time. We also determined the proportion that each visit type was self-scheduled. Results: There were 20,769 699 completed visits during the course of the study that met the criteria for inclusion. Self-scheduled visits accounted for 4.0% of all completed visits (838 592/20,769 699). Over the 85-week span, self-scheduled visits rose from 3.0% to 5.3% of the total. There were 1887 unique visit types that were associated with completed visits. There were just 6 appointment visit types of the total 1887 self-scheduled visit types that accounted for 50.7% of the total 838 592 self-scheduled visits. Those 6 visit types were a lab blood test visit (19.5%, 163 K visits), two Family Medicine office visit types (13.0%, 109 K visits), a screening mammogram visit type (6.6%, 55 K visits), a scheduled express care visit type (6%, 50 K visits) and a COVID immunization visit type (5.7%, 48 K visits). Twenty-one visit types that were self-scheduled accounted for 75% of the total self-scheduled visits. Four seasonal visits, accounting for 10.6% of the total self-scheduled visits, were responsible for almost all the non-linear change in self-scheduling. Conclusion: Self-scheduling accounted for a small but growing percent of all outpatient scheduled visits in a multispecialty, multisite practice. A wide range of visit types can be successfully self-scheduled.

Indexed as

access to careefficiencyfamily medicinehealth economicsmedical informaticsoutpatient visitspractice managementself-schedulespecialty visitsvisit scheduling

Identifiers

PMID38698881
PMCPMC11064750

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Registered trials

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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.