Evidence map›Paper›PMID 37799503›Full record

ArticleDigital health

Trends in telehealth use among a cohort of rural patients during the COVID-19 pandemic.

Kristin Pullyblank, Nicole Krupa, Melissa Scribani, Amanda Chapman, Megan Kern, Wendy Brunner

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Applying Machine Learning Techniques to Implementation Science.Online journal of public health informatics · 2024
    Article
  6. Article
  7. 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

6 authors.

Kristin PullyblankBassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.ORCID https://orcid.org/0000-0003-0200-1333
Nicole KrupaBassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.
Melissa ScribaniBassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.
Amanda ChapmanBassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.
Megan KernBassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.
Wendy BrunnerBassett Research Institute, Bassett Medical Center, Cooperstown, NY, USA.ORCID https://orcid.org/0000-0002-1866-7925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Rural populations faced unique challenges to healthcare access during the COVID-19 pandemic. This analysis assesses trends in digital health technology use at the onset of the pandemic and describes digital health behaviors among a cohort of patients within a rural integrated healthcare network throughout the first 3 years of the pandemic. Methods: We used data from both the electronic health record (EHR) and a patient survey. EHR data was used to longitudinally assess change over time in patient portal use and telehealth visits. Survey responses were used to provide additional context. Results: Telehealth appointments peaked in the first quarter of 2020 at 28% of all office visits, before leveling off to 8-10% in 2022. Women and those younger than 65 were more likely to have participated in telehealth appointments. Active patient portal users increased from 34.1% in January 2019 to 63.7% in January 2022. There were no differences noted in portal use trends based on rurality. Conclusions: Our findings corroborate previous research, as well as add context regarding digital health technology use throughout the COVID pandemic in a rural patient population. Future research must focus on understanding constraints to digital health expansion in order to continue providing safe, equitable care.

Indexed as

COVID-19rural populationTelehealthtelemedicine

Identifiers

PMID37799503
PMCPMC10548799

What OpenQuestion holds

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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.