Evidence map›Paper›PMID 38699654›Full record

ArticleJournal of patient experience2024

Understanding Patients' Negative Experiences with Telehealth: A Content Analysis of Survey Data.

Maya Hamaker, Nicholas Hyman, Komal Lodaria, Hannah B Jackson, Taylor B Sewell, Kevin Chen

Abstract read
In one paragraph

Article in Journal of patient experience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Maya HamakerTouro College of the Osteopathic Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-3815-5150
Nicholas HymanColumbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.ORCID https://orcid.org/0000-0003-2545-1724
Komal LodariaOffice of Quality and Safety, New York City Health+Hospitals, New York, NY, USA.
Hannah B JacksonOffice of Ambulatory Care and Population Health, New York City Health+Hospitals, New York, NY, USA.
Taylor B SewellDivision of Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian, New York, NY, USA.ORCID https://orcid.org/0000-0002-1905-0513
Kevin ChenOffice of Ambulatory Care and Population Health, New York City Health+Hospitals, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding differences in how demographic groups experience telehealth may be relevant in addressing potential disparities in telehealth usage. We seek to identify and examine themes most pertinent to patients' negative telehealth experiences by age and race in order to inform interventions to improve patients' future telehealth experiences. We performed a content analysis of Press Ganey patient experience surveys from adult patients at 17 primary care sites of a large, public healthcare system with visits from April 30, 2020 to August 27, 2021. We used sentiment analysis to identify negative comments. We coded for content themes and analyzed their frequency, stratifying by age and race. We analyzed 745 negative comments. Most frequent themes differed by demographic categories, but overall, the most commonly applied codes were "Contacting the Clinic" (n = 97), "Connectivity" (n = 84), and "Webside Manner" (n = 79). The top three codes accounted for >40% of the negative codes in each race category and >35% of the negative codes in each age category. While there were common negative experiences among groups, patients of different demographics highlighted different aspects of their telehealth experiences for potential improvement.

Indexed as

COVID-19patient satisfactionqualitative methodssurvey datatelehealthtelemedicine/telehealth

Identifiers

PMID38699654
PMCPMC11064744

What OpenQuestion holds

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LicenceCC BY-NC
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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.