ArticleJournal of patient experience2021
Changes in Patient Satisfaction Scores During the Early COVID-19 Pandemic.
Article in Journal of patient experience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Patient satisfaction in the spanish national health system: temporal trends and associated factors from 2018 to 2023.BMC health services research · 2025Article
- Global Evidence on the Sustainability of Telemedicine in Outpatient and Primary Care During the First 2 Years of the COVID-19 Pandemic: Scoping Review Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework.Interactive journal of medical research · 2025Review
- Telemedicine: Future of the healthcare system and its impact on patient satisfaction: A literature review.Journal of family medicine and primary care · 2024Review
- Patient Satisfaction With Telemedicine Among Vulnerable Populations in an Urban Ambulatory Setting.Mayo Clinic proceedings. Digital health · 2024Article
- Patient Experience from an eHealth Perspective: A Scoping Review of Approaches and Recent Trends.Yearbook of medical informatics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has caused a rapid and widespread application of telemedicine services in the outpatient setting. Prior to COVID-19, patient satisfaction was measured with Consumer Assessment of Healthcare Providers and Systems (CAHPS) Clinician & Group Survey (CG-CAHPS) and was then measured with the Press Ganey telemedicine survey. Both surveys ask about a patient's likelihood to recommend a particular medical practice, which is a useful, but imperfect, surrogate for overall satisfaction. The purpose of this analysis was to identify any changes in patient satisfaction scores with the implementation of telemedicine services. A retrospective analysis of our institution's experience during the early months of the COVID-19 pandemic compared to the months immediately prior to the pandemic was conducted. The percent of patients with a "Top box" response to survey questions regarding their likelihood to recommend a medical practice were compared. A total of 14 430 CG-CAHPS results collected in November 2019 through February 2020 were compared to 22 009 telemedicine survey results collected between March and May 2020. In general, most medical specialties incorporated telemedicine but suffered a decrease in their patient's likelihood to recommend a medical practice during the first few months of the pandemic. However, the magnitude of this decrease was variable by medical specialty. Physical medicine and rehabilitation and pain medicine had relatively poor scores prior to the pandemic which did not statistically change. Oncology was the sole medical specialty that continued to have unchanged high patient satisfaction scores. These data provide insights for the refinement of telemedicine.
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Registered trials
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.