Evidence map›Paper›PMID 38265855›Full record

ArticleJMIR formative research2024

Demographics and Social Factors Associated With Persistent Nonuse of Video Appointments at a Multisite Health Care Institution: Cross-Sectional Study.

Pravesh Sharma, Celia Kamath, Tabetha A Brockman, Anne Roche, Pamela Sinicrope, Ruoxiang Jiang, Paul A Decker, Vanessa Pazdernik, Christi Patten

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Compliance of Tonsillitis e-Health Patients: A Prospective Cohort Study.Laryngoscope investigative otolaryngology · 2025
    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

9 authors at 4 institutions in 1 country.

Pravesh SharmaPsychiatry and Psychology, Mayo Clinic Health System, Eau Claire, WI, United States.ORCID https://orcid.org/0000-0002-9503-5016
Celia KamathQuantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-3340-2017
Tabetha A BrockmanHealth Equity and Community Engagement Research, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-4008-4395
Anne RochePsychology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-4794-5533
Pamela SinicropePsychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0001-8095-6966
Ruoxiang JiangQuantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-0842-3772
Paul A DeckerQuantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-3756-4227
Vanessa PazdernikQuantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0001-7566-7334
Christi PattenPsychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-7194-8160
Mayo Clinic in Florida · USMayo Clinic · USMayo Clinic Health System · USMayo Clinic in Arizona · US

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

backgroundDuring the COVID-19 outbreak, video appointments became a popular method for health care delivery, particularly in the early stages of the pandemic. Although Mayo Clinic aimed to reduce face-to-face (F2F) appointments to prevent the spread of the virus, some patients continued seeing their health care providers in person. In the later stages of the pandemic, many patients became comfortable with video appointments, even if they were initially hesitant. However, a subset of patients continued to avoid video appointments. It is not yet clear what sociodemographic factors may be associated with this group of patients.

objectiveThis cross-sectional study aimed to examine demographic and social determinant of health (SDoH) factors associated with persistent nonusers of video appointments among a sample of patients within a multistate health care organization. We also explored patient beliefs about the use of video for health care appointments.

methodsWe conducted a 1-time cross-sectional paper survey, mailed between July and December 2022, of patients matching the eligibility criteria: (1) aged ≥18 years as of April 2020, (2) Mayo Clinic Midwest, Florida, or Arizona patient, (3) did not use video appointment services during April-December 2020 but attended F2F appointments in the departments of primary care and psychiatry/psychology. The survey asked patients, "Have you ever had a video appointment with a healthcare provider?" "Yes" respondents were defined as "users" (adapted to video appointments), and "no" respondents were defined as "persistent nonusers" of video appointments. We analyzed demographics, SDoH, and patient beliefs toward video appointments in 2 groups: persistent nonusers of video appointments and users. We used chi-square and 2-tailed t tests for analysis.

resultsOur findings indicate that patients who were older, lived in rural areas, sought care at Mayo Clinic Midwest, and did not have access to the patient portal system were likely to be persistent nonusers of video appointments. Only 1 SDoH factor (not having a disability, handicap, or chronic disease) was associated with persistent nonuse of video appointments. Persistent nonusers of video appointments held personal beliefs such as discomfort with video communication, difficulty interpreting nonverbal cues, and personal preference for F2F appointments over video.

conclusionsOur study identified demographic (older age and rural residence), sociodemographic factors (not having a disability, handicap, or chronic disease), and personal beliefs associated with patients' decisions to choose between video versus F2F appointments for health care delivery. Health care institutions should assess patients' negative attitudes toward technology prior to introducing them to digital health care services. Failing to do so may result in its restricted usage, negative patient experience, and wasted resources. For patients who hold negative beliefs about technology but are willing to learn, a "digital health coordinator" could be assigned to assist with various digital health solutions.

Indexed as

appointmentappointmentscommunicationdigital healthdiscomfortmobile phonepreventionSDoH, social determinants of healthsocial determinantssociodemographictelehealthtelemedicineusersvideo communicationvideo visitswillingness

Identifiers

PMID38265855
PMCPMC10851122
OpenAlexW4390111170

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.