Evidence map›Paper›PMID 36403030›Full record

ArticleBMC medical informatics and decision making2022

The association between video or telephone telemedicine visit type and orders in primary care.

Nathan Juergens, Jie Huang, Anjali Gopalan, Emilie Muelly, Mary Reed

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Telemedicine Visit Use and Glycemic Control in Patients With Diabetes.The Journal of clinical endocrinology and metabolism · 2025
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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 1 country.

Nathan JuergensDepartment of Medicine, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA. nathanjuergens@gmail.com.ORCID 0000-0002-5227-5730
Jie HuangDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Anjali GopalanDepartment of Medicine, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.
Emilie MuellyDepartment of Medicine, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.
Mary ReedDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Kaiser Permanente · USKaiser Permanente Oakland Medical Center · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Patient choice of telemedicine encountersR01HS025189 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI REED, MARY · 2018 to 2022
$1.9M
Agency for Healthcare Research and Quality 1R01HS025189-01A1AHRQ HHS R01 HS025189NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

introductionTelemedicine is increasingly relied upon for care delivery in primary care, but the impact of visit type on clinical ordering behavior is uncertain.

methodsWithin Kaiser Permanente Northern California, we identified patients who self-scheduled and completed telemedicine encounters with their personal primary care provider or another available primary care provider in the same medical group, between April 1st, 2020, and October 31st, 2020, while physical distancing restrictions for COVID-19 were in place. We collected patient sociodemographic and clinical characteristics, measures of technology access, and categorized the most common primary encounter diagnoses. We measured proportions of patient-scheduled video versus telephone visits for each of eight diagnosis groups (Skin & Soft Tissue, Musculoskeletal Pain, Back Pain, General Gastrointestinal, Hypertension & Diabetes, Mental Health, Upper Respiratory, and Abdominal Pain), and compared physician orders for medications, antibiotics, lab and imaging studies by visit type within each diagnosis group.

resultsThere were 273,301 included encounters, with 86,676 (41.5%) video visits and 122,051 (58.5%) telephone visits. Of the diagnosis groups, Skin & Soft Tissue conditions had the highest proportion of video visits (59.7%), while Mental Health conditions had the highest proportion of telephone visits (71.1%). After adjusting for covariates, the overall rates of medication orders (46.6% vs. 44.5%), imaging orders (17.3% vs. 14.9%), lab orders (19.5% vs. 17.2%), and antibiotic orders (7.5% vs. 5.2%) were higher during video visits as compared to telephone visits (p < 0.05). The largest difference within diagnosis groups was for Skin & Soft Tissue conditions, where the rate of medication orders was 9.1% higher than during video visits than telephone visits (45.5% vs. 36.5%, p < 0.05).

conclusionsWe observed statistically significant differences in clinician orders by visit type during telemedicine encounters for common primary care conditions. Our findings suggest that, for certain conditions, visual information conveyed during video visits may promote clinical work-up and treatment.

Indexed as

COVID-19TelemedicineDelivery of Health CareHumansPrimary Health CareTelephoneClinical ordersPrimary careTelemedicineVisit type

Identifiers

PMID36403030
PMCPMC9675192
OpenAlexW4309561671

What OpenQuestion holds

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LicenceCC BY
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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.