Evidence map›Paper›PMID 35545754›Full record

ArticleHeadache2022

Telehealth perceptions and utilization for the delivery of headache care before and during the COVID-19 pandemic: A mixed-methods study.

Amy S Grinberg, Brenda T Fenton, Kaicheng Wang, Hayley Lindsey, Roberta E Goldman, Sean Baird, Samantha Riley, Laura Burrone, Elizabeth K Seng, Teresa M Damush and 1 more

Open access · greenAbstract read
In one paragraph

Article in Headache, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  11. Telemedicine in Headache Medicine: A Narrative Review.Current pain and headache reports · 2023
    Review
  12. Article
  13. Article
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  15. Article
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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

11 authors at 3 institutions in 1 country.

Amy S GrinbergVA Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID 0000-0003-4141-9513
Brenda T FentonVA Connecticut Healthcare System, West Haven, Connecticut, USA.
Kaicheng WangVA Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID 0000-0003-2519-2670
Hayley LindseyVA Connecticut Healthcare System, West Haven, Connecticut, USA.ORCID 0000-0002-4950-0124
Roberta E GoldmanHeadache Centers of Excellence Research and Evaluation Center, Veterans Health Administration, West Haven, Connecticut, USA.
Sean BairdRichard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA.
Samantha RileyRichard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA.
Laura BurroneVA Connecticut Healthcare System, West Haven, Connecticut, USA.
Elizabeth K SengHeadache Centers of Excellence Research and Evaluation Center, Veterans Health Administration, West Haven, Connecticut, USA.ORCID 0000-0002-8938-4949
Teresa M DamushHeadache Centers of Excellence Research and Evaluation Center, Veterans Health Administration, West Haven, Connecticut, USA.
Jason J SicoVA Connecticut Healthcare System, West Haven, Connecticut, USA.
United States Department of Veterans Affairs · USRichard L. Roudebush VA Medical Center · USAlbert Einstein College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to evaluate the utilization of telehealth for headache services within the Veterans Health Administration's facilities housing a Headache Centers of Excellence and multiple stakeholder's perspectives to inform future telehealth delivery.

backgroundTelehealth delivery of headache treatment may enhance patient access to headache care, yet little is known about the utilization or patient and provider perceptions of telehealth for veterans with headache.

methodsThis mixed-methods study analyzed multiple data sources: (1) administrative data, which included 58,798 patients with medically diagnosed headache disorders, documented in at least one outpatient visit, from August 2019 through September 2020 from the 12 Veterans Health Administration's facilities with a Headache Center of Excellence and (2) qualitative semistructured interviews with 20 patients and 43 providers 6 months before the coronavirus disease 2019 (COVID-19) pandemic, and 10 patients and 20 providers 6 months during the beginning of the pandemic.

resultsDuring the pandemic, in-person visits declined from 12,794 to 6099 (52.0%), whereas video (incidence rate ratio [IRR] = 2.05, 95% confidence interval [CI] = 1.66, 2.52), and telephone visits (IRR = 15.2, 95% CI = 10.7, 21.6) significantly increased. Utilization differed based on patient age, race/ethnicity, and rurality. Patients and providers perceived value in using telehealth, yet had limited experience with this modality pre-pandemic. Providers preferred in-person appointments for initial encounters and telehealth for follow-up visits. Providers and patients identified benefits and challenges of telehealth delivery, often relying on multiple delivery methods for telehealth to enhance patient engagement.

conclusionsThe uptake of telehealth delivery of headache-related care rapidly expanded in response to the pandemic. Patients and providers were amenable to utilizing telehealth, yet also experienced technological barriers. To encourage equitable access to telehealth and direct resources to those in need, it is crucial to understand patient preferences regarding in-person versus telehealth visits and identify patient groups who face barriers to access.

Indexed as

COVID-19TelemedicineHeadacheHumansPandemicsSARS-CoV-2access to careheadachemixed methodstelehealth

Identifiers

PMID35545754
PMCPMC9348149
OpenAlexW4280509674

What OpenQuestion holds

Textmetadata
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.