Evidence map›Paper›PMID 39509127›Full record

ArticleJAMA network open2024

Primary Care Practice Telehealth Use and Low-Value Care Services.

Terrence Liu, Ziwei Zhu, Michael P Thompson, Jeffrey S McCullough, Hechuan Hou, Chiang-Hua Chang, A Mark Fendrick, Chad Ellimoottil

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Comparing the Antimicrobial Resistance Crisis to the COVID-19 Pandemic: A Randomized Public Health Messaging Experiment.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Trial
  2. Observational
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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

8 authors.

Terrence LiuInstitute for Healthcare Policy and Innovation, Department of Internal Medicine, Veterans Affairs Center for Clinical Management Research (CCMR), Ann Arbor, Michigan.
Ziwei ZhuInstitute for Healthcare Policy and Innovation, Department of Urology, University of Michigan, Ann Arbor.
Michael P ThompsonInstitute for Healthcare Policy and Innovation, Department of Cardiac Surgery, University of Michigan, Ann Arbor.
Jeffrey S McCulloughInstitute for Healthcare Policy and Innovation, Department of Health Management and Policy, University of Michigan, Ann Arbor.
Hechuan HouInstitute for Healthcare Policy and Innovation, Department of Cardiac Surgery, University of Michigan, Ann Arbor.
Chiang-Hua ChangInstitute for Healthcare Policy and Innovation, Department of Cardiac Surgery, University of Michigan, Ann Arbor.
A Mark FendrickInstitute for Healthcare Policy and Innovation, Department of Internal Medicine, University of Michigan, Ann Arbor.
Chad EllimoottilInstitute for Healthcare Policy and Innovation, Department of Urology, University of Michigan, Ann Arbor.

Funding

AHRQ HHS R01 HS028397
6 · The paper itself

Abstract

Importance: The rapid expansion of telehealth transformed how primary care practices deliver care; however, uncertainties about the quality of telehealth-delivered care compared with in-person care remain. While there are concerns that increased telehealth may introduce wasteful care, how telehealth affects the delivery of low-value care is unknown. Objective: To examine whether a primary care practice's level of telehealth use is associated with changes in the rates of low-value care. Design, Setting, and Participants: This retrospective cohort study using a difference-in-differences study design was conducted from January 1, 2019, to December 31, 2022, using Medicare fee-for-service claims data. Participants were Medicare beneficiaries attributed to primary care practices in Michigan. Exposures: Low, medium, or high tertile of practice-level telehealth use. Main Outcomes and Measures: Low-value care was assessed using 8 claims-based measures relevant to primary care, grouped into 4 main categories: office-based, laboratory-based, imaging-based, and mixed-modality services. Poisson regression models were used to estimate the association between practice-level telehealth use and rates of low-value care services, controlling for practice-level characteristics. Results: A total of 577 928 beneficiaries (332 100 [57%] women; mean [SD] age, 76 [8] years) attributed to 2552 primary care practices were included in the study. After adjusting for practice-level characteristics and baseline differences in low-value care rates between telehealth use groups, high practice-level telehealth use was associated with lower rates of low-value cervical cancer screening (-2.9 [95% CI, -5.3 to -0.4] services per 1000 beneficiaries) and lower rates of low-value thyroid testing (-40 [95% CI, -70 to -9] tests per 1000 beneficiaries) compared with low practice-level telehealth use. Of the other 6 outcomes examined, there was no association between practice-level telehealth use and rates of low-value care services. Conclusions and Relevance: In this cohort study of Medicare fee-for-service beneficiaries who received care from primary care practices in Michigan, some low-value care services (ie, cervical cancer screening among women older than 65 years and low-value thyroid testing) were lower among practices with high telehealth use, and there was no association between practice-level telehealth use in rates of most other low-value care services not delivered in the office. As telehealth continues to be an important part of care delivery, evaluating how it may encourage or discourage low-value care services is critical to understanding its impact on quality of care.

Indexed as

MedicarePrimary Health CareTelemedicineAgedAged, 80 and overFee-for-Service PlansFemaleHumansMaleMichiganRetrospective StudiesUnited States

Identifiers

PMID39509127
PMCPMC11544489

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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.