Evidence map›Paper›PMID 32821800›Full record

ArticleJournal of patient experience2020

Readability of Information on Smartphone Apps for Total Hip Replacement and Total Knee Replacement Surgery Patients.

Shayan Bahadori, Thomas W Wainwright, Osman H Ahmed

Abstract read
In one paragraph

Article in Journal of patient experience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. [Digital tools in musculoskeletal rehabilitation].Orthopadie (Heidelberg, Germany) · 2023
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

3 authors.

Shayan BahadoriExecutive Business Centre, Orthopaedic Research Institute, Bournemouth University, Bournemouth, United Kingdom.ORCID https://orcid.org/0000-0003-0201-9840
Thomas W WainwrightExecutive Business Centre, Orthopaedic Research Institute, Bournemouth University, Bournemouth, United Kingdom.ORCID https://orcid.org/0000-0001-7860-2990
Osman H AhmedFaculty of Health and Social Sciences, Bournemouth University, Bournemouth, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReadability is a vital component of health information and providing this material at an appropriate literacy level may positively influence patient experience.

objectiveTo assess the readability of the information provided within total hip replacement and total knee replacement apps to understand more about the impact this could have on patients.

methodA systematic search was conducted across the 5 most popular smartphone app stores: iTunes, Google Play, Windows Mobile, Blackberry App World, and Nokia Ovi. Apps were identified for screening if they: targeted total hip replacement or total knee replacement patients; were free of charge; and were in English. App readability assessment was conducted independently by 3 reviewers using the Gunning Fog Index, the Flesch Reading Ease Score, and the Flesch-Kincaid Grade Level.

resultsFifteen apps met the inclusion criteria. Only one app was found "easy to read" (My THR).

conclusionFindings suggest that the overall readability of information provided is written at a level which is difficult for patients to comprehend. App developers should engage patients in the design process of their apps, in order to enhance patient experience and for the potential impact of these innovative health technologies to be truly realized.

Indexed as

appspatient experiencesmartphonetotal hip replacementtotal knee replacement

Identifiers

PMID32821800
PMCPMC7410127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.