Evidence map›Paper›PMID 36601227›Full record

ArticleThe Iowa orthopaedic journal2022

Total Knee Arthroplasty: A Quantitative Assessment of Online Patient Education Resources.

Trevor R Gulbrandsen, Mary Kate Skalitzky, Sarah E Ryan, Burke Gao, Alan G Shamrock, Timothy S Brown, Jacob M Elkins

Abstract read
In one paragraph

Article in The Iowa orthopaedic journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Trevor R GulbrandsenDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Mary Kate SkalitzkyDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Sarah E RyanDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Burke GaoDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Alan G ShamrockDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Timothy S BrownDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Jacob M ElkinsDepartment of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients often turn to the online resources to learn about orthopedic procedures. As the rate of joint arthroplasty is projected to increase, the corresponding interest in relevant online education material will increase as well. The American Medical Association (AMA) and National Institutes of Health (NIH) recommend that publicly available online health information be written at the 6th grade or lower reading level to be fully understood by the average adult in the United States. Additionally, educational resources should be written such that readers can process key information (understandability) or identify available actions to take (actionability). The purpose of this study was to quantify the readability, understandability, and actionability of online patient educational materials regarding total knee arthroplasty (TKA). Methods: The most common Google™ search term utilized by the American public was determined to be "knee replacement". Subsequently two independent online searches (Google.com) were performed. From the top 50 search results, websites were included if directed at educating patients regarding TKA. Non-text websites (audiovisual), articles (news/research/industry), and unrelated resources were excluded. Readability was quantified using the following valid objective algorithms: Flesch-Kincaid Grade-Level (FKGL), Simple Measure of Gobbledygook (SMOG) grade, Coleman-Liau Index (CLI), and Gunning-Fog Index (GFI). PEMAT was utilized to assess understandability and actionability (0-100%; score ≥70% indicates acceptable scoring). The relationship between search rank with FKGL and PEMAT scores was quantified. Results: A total of 34 (68%) unique websites met inclusion criteria. The mean FKGL, SMOG, CLI, and GFI was 11.8±1.6, 11.1±1.2, 11.9±1.4, and 14.7±1.6, respectively. None of the websites scored within the acceptable NIH/AMA recommended reading levels. Mean understandability and actionability scores were 54.9±12.1 and 30.3±22.0. Only 5.9% (n=2) and 9.2% (n=1) of websites met the ≥70% threshold for understandability and actionability. Only 29.4% (n=10) sources used common language and only 26.9% (n=9) properly defined complicated medical terms. Based on website type, the mean understandability scores for academic institution, private practice, and health information publisher websites were 57.2±8.8%, 52.6±11.1%, and 54.3±15.3% (p=0.67). Readability (rho: -0.07; p=0.69), understandability (rho: -0.02; p=0.93), and actionability (rho: -0.22; p=0.23) scores were not associated with Google™ search rank. Conclusion: TKA materials scored poorly with respect to readability, understandability, and actionability. None of the resources scored within the recommended AMA/NIH reading levels. Only 5.9% scored adequately on understandability measures. Substantial efforts are needed to improve online resources to optimize patient comprehension and facilitate informed decision-making.

Indexed as

Arthroplasty, Replacement, KneeEducation, DistanceHealth LiteracyAdultHumansInternetPatient Education as TopicSmogUnited StatesSmoghealth literacyknee arthroplastypatient education

Identifiers

PMID36601227
PMCPMC9769358

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.