Evidence map›Paper›PMID 39291057›Full record

ArticleJournal of experimental orthopaedics2024

Enhancing patient information texts in orthopaedics: How OpenAI's 'ChatGPT' can help.

Ali Yüce, Mustafa Yerli, Abdulhamit Misir, Murat Çakar

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. How Successful Is AI in Developing Postsurgical Wound Care Education Material?Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    Article
  11. Review
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

4 authors.

Ali YüceDepartment of Orthopedic and Traumatology Prof. Dr. Cemil Taşcıoğlu City Hospital İstanbul Turkey.ORCID 0000-0003-3751-6644
Mustafa YerliDepartment of Orthopedic and Traumatology Prof. Dr. Cemil Taşcıoğlu City Hospital İstanbul Turkey.ORCID 0000-0002-2708-5812
Abdulhamit MisirDepartment of Orthopedic and Traumatology Göztepe Medical Park Hospital İstanbul Turkey.ORCID 0000-0002-5270-1429
Murat ÇakarDepartment of Orthopedic and Traumatology Prof. Dr. Cemil Taşcıoğlu City Hospital İstanbul Turkey.ORCID 0000-0001-5105-3805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The internet has become a primary source for patients seeking healthcare information, but the quality of online information, particularly in orthopaedics, often falls short. Orthopaedic surgeons now have the added responsibility of evaluating and guiding patients to credible online resources. This study aimed to assess ChatGPT's ability to identify deficiencies in patient information texts related to total hip arthroplasty websites and to evaluate its potential for enhancing the quality of these texts. Methods: In August 2023, 25 websites related to total hip arthroplasty were assessed using a standardized search on Google. Peer-reviewed scientific articles, empty pages, dictionary definitions, and unrelated content were excluded. The remaining 10 websites were evaluated using the hip information scoring system (HISS). ChatGPT was then used to assess these texts, identify deficiencies and provide recommendations. Results: The mean HISS score of the websites was 9.5, indicating low to moderate quality. However, after implementing ChatGPT's suggested improvements, the score increased to 21.5, signifying excellent quality. ChatGPT's recommendations included using simpler language, adding FAQs, incorporating patient experiences, addressing cost and insurance issues, detailing preoperative and postoperative phases, including references, and emphasizing emotional and psychological support. The study demonstrates that ChatGPT can significantly enhance patient information quality. Conclusion: ChatGPT's role in elevating patient education regarding total hip arthroplasty is promising. This study sheds light on the potential of ChatGPT as an aid to orthopaedic surgeons in producing high-quality patient information materials. Although it cannot replace human expertise, it offers a valuable means of enhancing the quality of healthcare information available online. Level of Evidence: Level IV.

Indexed as

arthroplastyartificial intelligenceChatGPThealthcare informationhiporthopaedic surgerypatient‐centered caretotal hip replacement

Identifiers

PMID39291057
PMCPMC11406043

What OpenQuestion holds

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LicenceCC BY
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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.