bims-librar Biomed News on Biomedical librarianship
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Issue of 2024‒03‒03 │
twenty-two papers selected by│
Thomas Krichel, Open Library │
Society │
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1. PubTator 3.0: an AI-powered Literature Resource for Unlocking
Biomedical Knowledge.
2. An Organizational Model for Increasing Access to the Scholarly
Literature.
3. ChatGPT: Game-changer or wildcard for systematic searching?
4. What is the impact of artificial intelligence-based chatbots on
infodemic management?
5. ChatGPT vs. web search for patient questions: what does ChatGPT do
better?
6. ChatGPT as a Source of Patient Information for Lumbar Spinal Fusion
and Laminectomy: A Comparative Analysis Against Google Web Search.
7. Taiyi: a bilingual fine-tuned large language model for diverse
biomedical tasks.
8. A Readability Study of Carpal Tunnel Release in 2023.
9. Assessment of the Readability and Quality of Online Information for
Patients and Their Families Regarding Schizophrenia.
10. Letter to the editor: "ChatGPT and most frequent urological diseases:
analysing the quality of information and potential risks for patients".
11. Readability of Patient Electronic Materials for Atopic Dermatitis in
23 Languages: Analysis and Implications for Dermatologists.
12. Both clinical trial register and electronic bibliographic database
searches were needed to identify RCTs for systematic reviews: an
evaluation study.
13. Assessment of the quality, content, and reliability of the
information in CoMICs videos in comparison to YouTube videos on diabetes
mellitus and PCOS.
14. YouTube as a Source of Patient and Trainee Education in Vascular
Surgery: A Systematic Review.
15. A Systematic Evaluation of the Quality of Health Information on Cleft
Lip and Palate in the Arabic Language.
16. YouTube as a Source of Information on Public Health Ethics.
17. The status quo of short videos as a source of health information
regarding bowel preparation before colonoscopy.
18. A content-quality and optimization analysis of YouTube as a source of
patient information for bipolar disorder.
19. Erratum: Quality and reliability of YouTube videos in Arabic as a
source of patient information on prostate cancer.
20. Validity of Material Related to the Anterior Cruciate Ligament on
TikTok.
21. Modern Internet Search Analytics and Osseointegration: What are
Patients Asking and Reading Online?
22. Impact of global public health days on online
health-information-seeking behavior related to substance use: An analysis
of five-year data.
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ArXiv. 2024 Jan 19. pii: arXiv:2401.11048v1. [Epub ahead of print]
1. PubTator 3.0: an AI-powered Literature Resource for Unlocking
Biomedical Knowledge.
Chih-Hsuan Wei, Alexis Allot, Po-Ting Lai, Robert Leaman, Shubo Tian, Ling
Luo, Qiao Jin, Zhizheng Wang, Qingyu Chen, Zhiyong Lu
PubTator 3.0 (https://www.ncbi.nlm.nih.gov/research/pubtator3/) is a
biomedical literature resource using state-of-the-art AI techniques to offer
semantic and relation searches for key concepts like proteins, genetic
variants, diseases, and chemicals. It currently provides over one billion
entity and relation annotations across approximately 36 million PubMed
abstracts and 6 million full-text articles from the PMC open access subset,
updated weekly. PubTator 3.0's online interface and API utilize these
precomputed entity relations and synonyms to provide advanced search
capabilities and enable large-scale analyses, streamlining many complex
information needs. We showcase the retrieval quality of PubTator 3.0 using a
series of entity pair queries, demonstrating that PubTator 3.0 retrieves a
greater number of articles than either PubMed or Google Scholar, with higher
precision in the top 20 results. We further show that integrating ChatGPT
(GPT-4) with PubTator APIs dramatically improves the factuality and
verifiability of its responses. In summary, PubTator 3.0 offers a
comprehensive set of features and tools that allow researchers to navigate
the ever-expanding wealth of biomedical literature, expediting research and
unlocking valuable insights for scientific discovery.
URL: http://pubmed.ncbi.nlm.nih.gov/38410657
Behav Anal Pract. 2024 Mar;17(1): 347-358
2. An Organizational Model for Increasing Access to the Scholarly
Literature.
Amber L Valentino, Jessica F Juanico, Ashley M Fuhrman, Aakshan Kaur Lidhar
Incorporating literature into practice can help behavior analysts provide
better services and achieve better outcomes. In addition, behavior analysts
have an ethical obligation to remain current with the scholarly literature
and to use it to inform services. Despite the merits of maintaining regular
contact with the published literature, barriers exist to doing so. In this
tutorial, we present a system that was created for a human service agency to
increase practitioner access to the scholarly literature. The system
consisted of an electronic search request form, a literature team, and a
liaison. We present 7 years of data including the frequency of use, topics
of interest, and other noteworthy patterns of submitter responding. We
discuss the value of this type of system, limitations of its design, and
considerations for practitioners who may wish to implement a similar system
in their agency. We discuss modifications that could be made to fit
organizations of diverse sizes and with different resources, while
presenting ideas for improvement and expansion of the system.
Keywords: Evidence-based practice; Information literacy; Literature
access; Research-to-practice gap; Scientist-practitioner model
DOI: https://doi.org/10.1007/s40617-023-00887-w
URL: http://pubmed.ncbi.nlm.nih.gov/38405287
Health Info Libr J. 2024 Mar;41(1): 1-3
3. ChatGPT: Game-changer or wildcard for systematic searching?
Anthea Sutton, Veronica Parisi
In this editorial, Anthea Sutton and Veronica Parisi reflect on ChatGPT, how
it may contribute to systematic searching, and provide their overview of
some recent training they attended on ChatGPT, AI and systematic literature
reviews.
Keywords: artificial intelligence; automation; database searching;
literature searching
DOI: https://doi.org/10.1111/hir.12517
URL: http://pubmed.ncbi.nlm.nih.gov/38418378
Front Public Health. 2024 ;12 1310437
4. What is the impact of artificial intelligence-based chatbots on
infodemic management?
Plinio P Morita, Matheus Lotto, Jasleen Kaur, Dmytro Chumachenko, Arlene
Oetomo, Kristopher Dylan Espiritu, Irfhana Zakir Hussain
Artificial intelligence (AI) chatbots have the potential to revolutionize
online health information-seeking behavior by delivering up-to-date
information on a wide range of health topics. They generate personalized
responses to user queries through their ability to process extensive amounts
of text, analyze trends, and generate natural language responses. Chatbots
can manage infodemic by debunking online health misinformation on a large
scale. Nevertheless, system accuracy remains technically challenging.
Chatbots require training on diverse and representative datasets, security
to protect against malicious actors, and updates to keep up-to-date on
scientific progress. Therefore, although AI chatbots hold significant
potential in assisting infodemic management, it is essential to approach
their outputs with caution due to their current limitations.
Keywords: artificial intelligence; eHealth; health information management;
infodemic; misinformation
DOI: https://doi.org/10.3389/fpubh.2024.1310437
URL: http://pubmed.ncbi.nlm.nih.gov/38414895
Eur Arch Otorhinolaryngol. 2024 Feb 28.
5. ChatGPT vs. web search for patient questions: what does ChatGPT do
better?
Sarek A Shen, Carlos A Perez-Heydrich, Deborah X Xie, Jason C Nellis
PURPOSE: Chat generative pretrained transformer (ChatGPT) has the potential
to significantly impact how patients acquire medical information online.
Here, we characterize the readability and appropriateness of ChatGPT
responses to a range of patient questions compared to results from
traditional web searches.
METHODS: Patient questions related to the published Clinical Practice
Guidelines by the American Academy of Otolaryngology-Head and Neck Surgery
were sourced from existing online posts. Questions were categorized using a
modified Rothwell classification system into (1) fact, (2) policy, and (3)
diagnosis and recommendations. These were queried using ChatGPT and
traditional web search. All results were evaluated on readability (Flesch
Reading Ease and Flesch-Kinkaid Grade Level) and understandability (Patient
Education Materials Assessment Tool). Accuracy was assessed by two blinded
clinical evaluators using a three-point ordinal scale.
RESULTS: 54 questions were organized into fact (37.0%), policy (37.0%), and
diagnosis (25.8%). The average readability for ChatGPT responses was lower
than traditional web search (FRE: 42.3 ± 13.1 vs. 55.6 ± 10.5, p < 0.001),
while the PEMAT understandability was equivalent (93.8% vs. 93.5%,
p = 0.17). ChatGPT scored higher than web search for questions the
'Diagnosis' category (p < 0.01); there was no difference in questions
categorized as 'Fact' (p = 0.15) or 'Policy' (p = 0.22). Additional
prompting improved ChatGPT response readability (FRE 55.6 ± 13.6, p < 0.01).
CONCLUSIONS: ChatGPT outperforms web search in answering patient questions
related to symptom-based diagnoses and is equivalent in providing medical
facts and established policy. Appropriate prompting can further improve
readability while maintaining accuracy. Further patient education is needed
to relay the benefits and limitations of this technology as a source of
medial information.
Keywords: Accessibility; Accuracy; ChatGPT; Large language model; Patient
education; Patient questions; Readability
DOI: https://doi.org/10.1007/s00405-024-08524-0
URL: http://pubmed.ncbi.nlm.nih.gov/38416195
Clin Spine Surg. 2024 Feb 20.
6. ChatGPT as a Source of Patient Information for Lumbar Spinal Fusion
and Laminectomy: A Comparative Analysis Against Google Web Search.
Patrick P Nian, Jayson Saleet, Matthew Magruder, Ian J Wellington, Jack
Choueka, John K Houten, Ahmed Saleh, Afshin E Razi, Mitchell K Ng
STUDY DESIGN: Retrospective Observational Study.
OBJECTIVE: The objective of this study was to assess the utility of ChatGPT,
an artificial intelligence chatbot, in providing patient information for
lumbar spinal fusion and lumbar laminectomy in comparison with the Google
search engine.
SUMMARY OF BACKGROUND DATA: ChatGPT, an artificial intelligence chatbot with
seemingly unlimited functionality, may present an alternative to a Google
web search for patients seeking information about medical questions. With
widespread misinformation and suboptimal quality of online health
information, it is imperative to assess ChatGPT as a resource for this
purpose.
METHODS: The first 10 frequently asked questions (FAQs) related to the
search terms "lumbar spinal fusion" and "lumbar laminectomy" were extracted
from Google and ChatGPT. Responses to shared questions were compared
regarding length and readability, using the Flesch Reading Ease score and
Flesch-Kincaid Grade Level. Numerical FAQs from Google were replicated in
ChatGPT.
RESULTS: Two of 10 (20%) questions for both lumbar spinal fusion and lumbar
laminectomy were asked similarly between ChatGPT and Google. Compared with
Google, ChatGPT's responses were lengthier (340.0 vs. 159.3 words) and of
lower readability (Flesch Reading Ease score: 34.0 vs. 58.2; Flesch-Kincaid
grade level: 11.6 vs. 8.8). Subjectively, we evaluated these responses to be
accurate and adequately nonspecific. Each response concluded with a
recommendation to discuss further with a health care provider. Over half of
the numerical questions from Google produced a varying or nonnumerical
response in ChatGPT.
CONCLUSIONS: FAQs and responses regarding lumbar spinal fusion and lumbar
laminectomy were highly variable between Google and ChatGPT. While ChatGPT
may be able to produce relatively accurate responses in select questions,
its role remains as a supplement or starting point to a consultation with a
physician, not as a replacement, and should be taken with caution until its
functionality can be validated.
DOI: https://doi.org/10.1097/BSD.0000000000001582
URL: http://pubmed.ncbi.nlm.nih.gov/38409676
J Am Med Inform Assoc. 2024 Feb 29. pii: ocae037. [Epub ahead of print]
7. Taiyi: a bilingual fine-tuned large language model for diverse
biomedical tasks.
Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen,
Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li,
Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun,
Hongfei Lin
OBJECTIVE: Most existing fine-tuned biomedical large language models (LLMs)
focus on enhancing performance in monolingual biomedical question answering
and conversation tasks. To investigate the effectiveness of the fine-tuned
LLMs on diverse biomedical natural language processing (NLP) tasks in
different languages, we present Taiyi, a bilingual fine-tuned LLM for
diverse biomedical NLP tasks.
MATERIALS AND METHODS: We first curated a comprehensive collection of 140
existing biomedical text mining datasets (102 English and 38 Chinese
datasets) across over 10 task types. Subsequently, these corpora were
converted to the instruction data used to fine-tune the general LLM. During
the supervised fine-tuning phase, a 2-stage strategy is proposed to optimize
the model performance across various tasks.
RESULTS: Experimental results on 13 test sets, which include named entity
recognition, relation extraction, text classification, and question
answering tasks, demonstrate that Taiyi achieves superior performance
compared to general LLMs. The case study involving additional biomedical NLP
tasks further shows Taiyi's considerable potential for bilingual biomedical
multitasking.
CONCLUSION: Leveraging rich high-quality biomedical corpora and developing
effective fine-tuning strategies can significantly improve the performance
of LLMs within the biomedical domain. Taiyi shows the bilingual multitasking
capability through supervised fine-tuning. However, those tasks such as
information extraction that are not generation tasks in nature remain
challenging for LLM-based generative approaches, and they still underperform
the conventional discriminative approaches using smaller language models.
Keywords: biomedical multitasking; large language model; natural language
processing; supervised fine-tuning
DOI: https://doi.org/10.1093/jamia/ocae037
URL: http://pubmed.ncbi.nlm.nih.gov/38422367
Hand (N Y). 2024 Feb 27. 15589447241232095
8. A Readability Study of Carpal Tunnel Release in 2023.
Ankur Kayastha, Kirthika Lakshmanan, Michael J Valentine, Hunter D Kramer,
James Kim, Nicholas Pettinelli, Robert C Kramer
BACKGROUND: The National Institutes of Health (NIH) and the American Medical
Association (AMA) recommend a sixth-grade reading level for patient-directed
content. This study aims to quantitatively evaluate the readability of
online information sources related to carpal tunnel surgery using
established readability indices.
METHODS: Web searches for "carpal tunnel release" and "carpal tunnel
decompression surgery" queries were performed using Google, and the first 20
websites were identified per query. WebFX online software tools were
utilized to determine readability. Indices included Flesch Kincaid Reading
Ease, Flesch Kincaid Grade Level, Coleman Liau Index, Automated Readability
Index, Gunning Fog Score, and the Simple Measure of Gobbledygook Index.
Health-specific clickthrough rate (CTR) data were used in order to select
the first 20 search engine results page from each query.
RESULTS: "Carpal tunnel release" had a mean readability of 8.46, and "carpal
tunnel decompression surgery" had a mean readability of 8.70. The range of
mean readability scores among the indices used for both search queries was
6.17 to 14.0. The total mean readability for carpal tunnel surgery
information was found to be 8.58. This corresponds to approximately a
ninth-grade reading level in the United States.
CONCLUSION: The average readability of carpal tunnel surgery online content
is three grade levels above the recommended sixth-grade level for
patient-directed materials. This discrepancy indicates that existing online
materials related to carpal tunnel surgery are more difficult to understand
than the standards set by NIH and AMA.
Keywords: carpal tunnel surgery; carpal tunnel syndrome; diagnosis; health
literacy; nerve; patient education; readability; research and health
outcomes; specialty; surgery
DOI: https://doi.org/10.1177/15589447241232095
URL: http://pubmed.ncbi.nlm.nih.gov/38414220
J Nerv Ment Dis. 2024 Jan 25.
9. Assessment of the Readability and Quality of Online Information for
Patients and Their Families Regarding Schizophrenia.
Okan Ekinci, Alcin Naz Koyuncu
ABSTRACT: To our knowledge, this is the first study that specifically aims
to assess the readability and quality of online information about
schizophrenia. The analysis is performed on 93 of 195 websites that appeared
in an advanced Google search of the term "schizophrenia" performed on a
single day. The websites were categorized as commercial, nonprofit,
professional, and government. The websites were evaluated using the Health
on the Net Foundation (HON) code certificate, DISCERN tool, and Journal of
the American Medical Association (JAMA) benchmark criteria for quality and
the Flesch Reading Ease Formula, Flesch-Kincaid Grade Level (FKGL) Formula,
Simple Measure of Gobbledygook, and Gunning Fog indices for readability. A
total of 21.5% of all websites had a HON code certificate, 50.5% were
accepted as high quality (JAMA score ≥3), and 25.8% reached the recommended
readability level (FKGL ≤8). Only three websites scored at a fifth- to
sixth-grade reading level. Commercial and government websites had
significantly lower DISCERN scores. Commercial websites had significantly
lower Flesch Reading Ease Score and FKGL score than nonprofit websites. In
conclusion, the current findings indicate that the quality of online
information on schizophrenia is generally acceptable, but the readability is
insufficient. Website creators, physicians, and health authorities should be
more sensitive to the readability of online information about schizophrenia,
considering the poor cognitive capacity of the patients and the unique
nature of the disease.
DOI: https://doi.org/10.1097/NMD.0000000000001763
URL: http://pubmed.ncbi.nlm.nih.gov/38416420
World J Urol. 2024 Feb 26. 42(1): 102
10. Letter to the editor: "ChatGPT and most frequent urological diseases:
analysing the quality of information and potential risks for patients".
Junjun Wang, Xing Yun
DOI: https://doi.org/10.1007/s00345-024-04858-w
URL: http://pubmed.ncbi.nlm.nih.gov/38407629
Dermatol Ther (Heidelb). 2024 Feb 24.
11. Readability of Patient Electronic Materials for Atopic Dermatitis in
23 Languages: Analysis and Implications for Dermatologists.
Tomasz Skrzypczak, Anna Skrzypczak, Jacek C Szepietowski
INTRODUCTION: Patients search on the Internet for information about various
medical procedures and conditions. The main aim of this study was to
evaluate the readability of online health information related to atopic
dermatitis (AD). Online resources are becoming a standard in facilitating
shared decision-making processes. With a pipeline of new therapeutic options
like immunomodulators, understanding of the complexity of AD by the patients
is crucial.
METHODS: The term "atopic dermatitis" translated into 23 official European
Union languages was searched using the Google search engine. The first 50
records in each language were evaluated for suitability. Included materials
were barrier-free, focused on patient education, and were not categorized as
advertisements. Article sources were classified into four categories:
non-profit, online shops, pharmaceutical companies, and dermatology clinic.
Readability was assessed with Lix score.
RESULTS: A total of 615 articles in Swedish, Spanish, Slovenian, Slovak,
Romanian, Portuguese, Polish, Lithuanian, Latvian, Irish, Italian,
Hungarian, Greek, German, French, Finnish, Estonian, English, Dutch, Danish,
Czech, Croatian, and Bulgarian were evaluated. The overall mean Lix score
was 56 ± 8, which classified articles as very hard to comprehend.
Significant differences in mean Lix scores were observed across all included
languages (all P < 0.001). Articles released by non-profit organizations and
pharmaceutical companies had the highest readability (P < 0.001). Low
readability level was correlated with high article prevalence (R2 = 0.189,
P = 0.031).
CONCLUSIONS: Although there was an abundance of online articles related to
AD, the readability of the available information was low. As online health
information has become essential in making shared decisions between patients
and physicians, an improvement in AD-related materials is needed.
Keywords: Atopic dermatitis; Health information; Internet content; Patient
education
DOI: https://doi.org/10.1007/s13555-024-01115-1
URL: http://pubmed.ncbi.nlm.nih.gov/38402338
J Clin Epidemiol. 2024 Feb 23. pii: S0895-4356(24)00055-6.
12. Both clinical trial register and electronic bibliographic database
searches were needed to identify RCTs for systematic reviews: an
evaluation study.
Tabea Kaul, Julia Mt Colombijn, Robin Wm Vernooij, Rene Spijker, Demy L
Idema, Linde F Huis In 't Veld, Johanna Aa Damen, Lotty Hooft
OBJECTIVE: To determine whether clinical trial register (CTR) searches can
accurately identify a greater number of completed randomized clinical trials
(RCTs) than electronic bibliographic database (EBD) searches for systematic
reviews of interventions, and to quantify the number of eligible ongoing
trials.
STUDY DESIGN AND SETTING: We performed an evaluation study and based our
search for RCTs on the eligibility criteria of a systematic review that
focused on the underrepresentation of people with chronic kidney disease in
cardiovascular RCTs. We conducted a combined search of ClinicalTrials.gov
and the WHO International Clinical Trials Registry Platform (ICTRP) through
the Cochrane Central Register of Controlled Trials (CENTRAL) to identify
eligible RCTs registered up to June 1st, 2023. We searched Cochrane CENTRAL,
EMBASE, and MEDLINE for publications of eligible RCTs published up to June
5th, 2023. Finally, we compared the search results to determine the extent
to which the two sources identified the same RCTs.
RESULTS: We included 92 completed RCTs. Of these, 81 had results available.
66 completed RCTs with available results were identified by both sources
(81% agreement [95% CI 71 - 88]). We identified seven completed RCTs with
results exclusively by CTR search (9% [95% CI 4 - 17]) and eight exclusively
by EBD search (10% [95% CI 5 - 18]). 11 RCTs were completed but lacked
results (four identified by both sources (36% [95% CI 15 - 65]), one
exclusively by EBD search (9% [95% CI 1 - 38]), and six exclusively by CTR
search (55% [95% CI 28 - 79]). Also, we identified 42 eligible ongoing RCTs:
16 by both sources (38% [95% CI 25 - 53]) and 26 exclusively by CTR search
(62% [95% CI 47 - 75]). Lastly, we identified four RCTs of unknown status by
both sources.
CONCLUSION: CTR searches identify a greater number of completed RCTs than
EBD searches. Both searches missed some included RCTs. Based on our case
study, researchers (e.g. information specialists, systematic reviewers)
aiming to identify all available RCTs should continue to search both
sources. Once the barriers to performing CTR searches alone are targeted,
CTR searches may be a suitable alternative.
Keywords: Clinical trial register search; clinical trial registry;
information retrieval; randomized clinical trials; randomized controlled
trials; systematic review
DOI: https://doi.org/10.1016/j.jclinepi.2024.111300
URL: http://pubmed.ncbi.nlm.nih.gov/38402998
Future Healthc J. 2023 Nov;10(Suppl 3): 63
13. Assessment of the quality, content, and reliability of the
information in CoMICs videos in comparison to YouTube videos on diabetes
mellitus and PCOS.
Shams Ali Baig, Anagh Josh Banerjee, Fazna Rahman, Syeda Sabbah Batul,
Mukunth Kowsik, Khushi Kumar, Mohammed Faraaz Saiyad, Vardhan Venkatesh,
Pranav Vishwanath Iyer, Punith Kempegowda
DOI: https://doi.org/10.7861/fhj.10-3-s63
URL: http://pubmed.ncbi.nlm.nih.gov/38406716
EJVES Vasc Forum. 2024 ;61 62-76
14. YouTube as a Source of Patient and Trainee Education in Vascular
Surgery: A Systematic Review.
Arshia Javidan, Muralie Vignarajah, Matthew W Nelms, Fangwen Zhou, Yung
Lee, Faysal Naji, Ahmed Kayssi
Objective: Due to its video based approach, YouTube has become a widely
accessed educational resource for patients and trainees. This systematic
review characterised and evaluated the peer reviewed literature
investigating YouTube as a source of patient or trainee education in
vascular surgery.
Data sources: A comprehensive literature search was conducted using EMBASE,
MEDLINE, and Ovid HealthStar from inception until 19 January 2023. All
primary studies and conference abstracts evaluating YouTube as a source of
vascular surgery education were included.
Review methods: Video educational quality was analysed across several
factors, including pathology, video audience, and length.
Results: Overall, 24 studies were identified examining 3 221 videos with
123.1 hours of content and 37.1 million views. Studies primarily examined
YouTube videos on diabetic foot care (7/24, 29%), peripheral arterial
disease (3/24, 13%), carotid artery stenosis (3/24, 13%), varicose veins
(3/24, 13%), and abdominal aortic aneurysm (2/24, 8%). Video educational
quality was analysed using standardised assessment tools, author generated
scoring systems, or global author reported assessment of quality. Six
studies assessed videos for trainee education, while 18 studies evaluated
videos for patient education. Among the 20 studies which reported on the
overall quality of educational content, 10/20 studies deemed it poor, and
10/20 studies considered it fair, with 53% of studies noting poor
educational quality for videos intended for patients and 40% of studies
noting poor educational quality in videos intended for trainees. Poor
quality videos had more views than fair quality videos (mean 27 348, 95% CI
15 154-39 543 views vs. 11 372, 95% CI 3 115-19 629 views, p = .030).
Conclusion: The overall educational quality of YouTube videos for vascular
surgery patient and trainee education is suboptimal. There is significant
heterogeneity in the quality assessment tools used in their evaluation. A
standardised approach to online education with a consistent quality
assessment tool is required to better support online patient and trainee
education in vascular surgery.
Keywords: Education; Systematic Review; Vascular Surgery; YouTube
DOI: https://doi.org/10.1016/j.ejvsvf.2024.01.054
URL: http://pubmed.ncbi.nlm.nih.gov/38414727
Plast Reconstr Surg Glob Open. 2024 Feb;12(2): e5604
15. A Systematic Evaluation of the Quality of Health Information on Cleft
Lip and Palate in the Arabic Language.
Abdullah A Al Qurashi, Qutaiba N M Shah Mardan, Tala N Mawad, Razan Omar
Alsubhi, Abdulah Bokhari, Ghadeer Daghistani, Rena Y Abualjamal, Amal
Mohammed Alharbi, Mohammed D Al Qarni, Abdullah Alhuzali, Mohamed Amir Mrad
Background: The internet serves as a vital health information resource, yet
the quality of data on specific health conditions, especially in Arabic, is
often overlooked. This research assesses the quality of Arabic online
information about cleft lip and palate (CLP) and proposes avenues for
enhancement.
Methods: From July to August 2022, a systematic evaluation of Arabic
articles on CLP was performed using the DISCERN tool for quality assessment.
Searches on Google and Bing resulted in 119 articles that met the study's
criteria.
Results: The quality of available Arabic information on CLP displayed
substantial gaps. Commercial sources dominated (49.6%), followed by private
(32.8%) and nonprofit entities (17.6%). The average DISCERN score was 2.26
of 5 (SD = 1.06), indicating the need for enhanced content, particularly
concerning treatment risks.
Conclusions: The study underscores the subpar quality of Arabic CLP
information online, which might mislead patients and impede access to
accurate advice. Nonprofit organizations should bolster their online
footprint, offering refined health content. A deep dive into DISCERN scores
reveals pinpointed improvement areas. Clinicians should direct patients and
their families to reliable information sources. Addressing these gaps
promises improved CLP knowledge in Arabic, fostering superior patient
education and outcomes for those with this condition.
DOI: https://doi.org/10.1097/GOX.0000000000005604
URL: http://pubmed.ncbi.nlm.nih.gov/38415101
J Korean Med Sci. 2024 Feb 26. 39(7): e61
16. YouTube as a Source of Information on Public Health Ethics.
Alikhan Zhaksylyk, Marlen Yessirkepov, Ahmet Akyol, Burhan Fatih Kocyigit
BACKGROUND: Public health ethics (PHE) is a dynamic area within bioethics
that addresses the complex moral implications of public health measures in
the face of growing health threats. YouTube is a powerful and widely used
platform for disseminating health-related information. The primary objective
of this study is to assess videos related to PHE on YouTube. The aim is to
gauge the extent of misinformation in collecting PHE videos on the platform.
METHODS: On October 25, 2023, a thorough investigation on YouTube was
undertaken, employing pre-determined search phrases involving 'public
health,' 'healthcare,' 'health services administration,' and 'health policy
and ethics.' The research encompassed a total of 137 videos that were
selected according to strict inclusion and exclusion criteria. The videos
were evaluated using the Global Quality Scale to measure quality and the
modified DISCERN tool to evaluate reliability. The researchers identified
video sources and compared several video attributes across different quality
groups.
RESULTS: A total of 137 videos were analyzed, and 65 (47.45%) were
classified as high quality, 52 (37.23%) as moderate quality, and 21 (15.32%)
as low quality. In high-quality videos, academic, government, physician, and
university-hospital sources predominated, whereas Internet users and news
sources were connected with low-quality videos. Significant differences in
DISCERN score, per day views, likes, and comments were seen across the
quality groups (P = 0.001 for views per day and P = 0.001 for other
characteristics). According to the findings, low-quality videos had higher
median values for daily views, likes, and comments.
CONCLUSION: Although nearly half of the videos were high-quality,
low-quality videos attracted greater attention. Critical contributors to
high-quality videos included academic, government, physician, and
university-hospital sources. The findings highlight the importance of
quality control methods on social media platforms and strategies to direct
users to trustworthy health information. Authors should prioritize
appropriate citations and evaluate YouTube and other comparable platforms
for potential promotional low-quality information.
Keywords: Ethics; Information Science; Internet; Public Health; Social
Media
DOI: https://doi.org/10.3346/jkms.2024.39.e61
URL: http://pubmed.ncbi.nlm.nih.gov/38412608
Front Public Health. 2024 ;12 1309632
17. The status quo of short videos as a source of health information
regarding bowel preparation before colonoscopy.
Foqiang Liao, Yunfeng Huang, Yongkang Lai, Junfeng Xie
Background: For high-quality colonoscopies, adequate bowel preparation is a
prerequisite, closely associated with the diagnostic accuracy and
therapeutic safety of colonoscopy. Although popular-science short videos can
help people quickly access health information, the overall quality of such
short videos as a source of health information regarding bowel preparation
before colonoscopy is unclear. Therefore, we intend to conduct a
cross-sectional study to investigate the quality of bowel preparation
information before colonoscopy through short videos taken on TikTok and
Bilibili.
Methods: The Chinese phrases "colonoscopy" and "bowel preparation" were used
as keywords to search for and screen the top 100 videos in the comprehensive
rankings on TikTok and Bilibili. The Global Quality Score (GQS) and the
modified DISCERN score were used to assess the quality of the information
provided in these short videos.
Results: A total of 186 short videos were included in this study; 56.5% of
them were posted by health professionals, whereas 43.5% of them were posted
by nonhealth professionals. The overall quality of these videos was
unsatisfactory, with a median DISCERN score of 3 (2-4) and a median GQS of 3
(3-4). The radar maps showed that videos posted by gastroenterologists had
higher completeness scores regarding outcomes, management, and risk factors,
while nongastroenterologists had higher completeness scores concerning
adverse effects, symptoms, and definitions of bowel preparation.
Additionally, the median DISCERN score and GQS of the videos posted by
gastroenterologists were 3 (3-4) and 3 (3-4), respectively, whereas the
quality of the videos posted by patients was the worst, with a median
DISCERN score of 2 (1-2) and a median GQS of 2 (1.25-3).
Conclusion: In conclusion, the overall quality of health information-related
videos on bowel preparation before colonoscopy posted on specified short
video platforms was not satisfactory. Gastroenterologists provide more
information on the outcomes, management, and risk factors for bowel
preparation before colonoscopy, while nongastroenterologists focus on
adverse effects, symptoms, and definitions of bowel preparation.
Keywords: bowel preparation; colonoscopy; health information; overall
quality; short videos
DOI: https://doi.org/10.3389/fpubh.2024.1309632
URL: http://pubmed.ncbi.nlm.nih.gov/38414898
Saudi Pharm J. 2024 Apr;32(4): 101997
18. A content-quality and optimization analysis of YouTube as a source of
patient information for bipolar disorder.
Jawza F Alsabhan, Haya M Almalag, Norah O Abanmy, Yara I Aljadeed, Reema H
Alhassan, Awatif B Albaker
Background: The goal of this study was to identify and evaluate the use of
Arabic YouTube videos on BD as a resource for patient education.
Methods: A cross-sectional evaluation of YouTube videos as a source of
information for patients with BD in Arabic was performed. The study was
observational and, because it did not involve human subjects, it followed
the STROBE guidelines whenever possible. The quality of the videos was
assessed using the validated DISCERN instrument. The search strategy
involved entering the term "bipolar disorder" in the YouTube search bar, and
only YouTube videos in Arabic were included.
Results: A total of 58 videos were included in this study after removing
duplicates and videos unrelated to BD (Figure 1). The most common source of
videos was others (38%), followed by physician (33%), educational (26%), and
hospital (3%). Resources covering symptoms and prognosis were mostly in the
"others" category (41%). The resources or videos that covered treatment
options were mainly created by physicians (41%). However, resources or
videos that included a personal story mainly belonged to the "others"
category (67%).
Conclusion: Visual health-related instructional resources still have a
significant shortage. This study highlights the poor quality of videos about
serious illnesses like BD. Evaluation and promotion of the creation of
visual health-related educational resources should be the primary goal of
future study.
Keywords: Bipolar disorder; DISCERN instrument; Educational material;
Educational videos; YouTube
DOI: https://doi.org/10.1016/j.jsps.2024.101997
URL: http://pubmed.ncbi.nlm.nih.gov/38426034
Ecancermedicalscience. 2023 ;17 1646
19. Erratum: Quality and reliability of YouTube videos in Arabic as a
source of patient information on prostate cancer.
Laith Baqain, Deborah Mukherji, Humaid O Al-Shamsi, Ibrahim Abu-Gheida,
Akram Al-Ibraheem, Kamal Al Rabii, Ala'a Farkouh, Mohammed Shahait
[This corrects the article DOI: 10.3332/ecancer.2023.1573.].
Keywords: Arabic; YouTube; misinformation; prostate cancer; social media;
videos
DOI: https://doi.org/10.3332/ecancer.2023.1646
URL: http://pubmed.ncbi.nlm.nih.gov/38414928
Orthop J Sports Med. 2024 Feb;12(2): 23259671241228543
20. Validity of Material Related to the Anterior Cruciate Ligament on
TikTok.
Riccardo D'Ambrosi, Timothy E Hewett
Background: Video material is one of the most common types of digital
information on social media platforms.
Purpose: To assess the validity and informational value of TikTok videos
with regard to the anterior cruciate ligament (ACL).
Study Design: Cross-sectional study.
Methods: Using the terms "anterior cruciate ligament" AND/OR "ACL," 420
TikTok videos were retrieved, of which 100 videos were included in the
analysis. The video duration and the number of likes, shares, and views were
recorded. Videos were categorized based on the source (private user,
physical therapist, surgeon, and researcher), subject type (patient
experience, physical therapy, injury mechanism, anatomy, clinical test, and
surgical technique), content (patient experience/testimony, education, and
rehabilitation), and any background audio (music or voice). Video quality
assessments were conducted using the DISCERN instrument, The Journal of the
American Medical Association (JAMA) benchmark criteria, and the Global
Quality Score (GQS). Associations between quantitative variables were tested
using the Spearman rank correlation. One-way analysis of variance or
Mann-Whitney test was performed to assess whether video quality differed by
video characteristics.
Results: A total of 41 videos were published by private users (41%), 34 by
physical therapists (34%), 23 by surgeons (23%), and 2 by researchers (2%).
Most of the information regarded patient experience (34%), followed by
physical therapy (20%), injury mechanism (19%), anatomy (11%), clinical test
(9%), and surgical technique (7%). The mean video length was 40.55 ± 41.58
seconds. The mean number of views was 151,084.39 ± 487,150.02, while the
mean numbers of comments, likes, and shares were 72.80 ± 249.68, 6781.49 ±
29,163.96, and 98.71 ± 307.76, respectively. The mean DISCERN, JAMA, and GQS
scores were 15.73 ± 1.44, 0.19 ± 0.39, and 1.16 ± 0.37, respectively,
indicating the poorest quality on all 3 indices. The number of views, likes,
shares, comments, and video lengths were all positively correlated with
DISCERN (except the number of shares), JAMA, and GQS scores (P < .05). A
significant difference was found in DISCERN scores between videos by private
users and those by surgeons (15.37 ± 0.98 vs 16.22 ± 1.57; P = .007).
Conclusion: Our analysis has demonstrated that the educational value of
these videos on the ACL on TikTok is poor. Given the rapid growth of TikTok,
further research is needed.
Keywords: TikTok; anterior cruciate ligament; arthroscopy; knee; reels;
rehabilitation; return to sport; social media
DOI: https://doi.org/10.1177/23259671241228543
URL: http://pubmed.ncbi.nlm.nih.gov/38405012
Strategies Trauma Limb Reconstr. 2023 Sep-Dec;18(3):18(3): 163-168
21. Modern Internet Search Analytics and Osseointegration: What are
Patients Asking and Reading Online?
Evelyn P Murphy, Gerard A Sheridan, Brian J Page, Michael D Greenstein,
Jason S Hoellwarth, Austin T Fragomen, S Robert Rozbruch
Background: Osseointegration (OI) limb has been performed for over 30 years
and is an example of an advance in technology and surgical technique which
has led to improvements in patient mobility and quality of life. An
increasing number of patients seek information about osseointegration. The
aim of this study was to categorise the most frequently asked questions by
patients using the Google search engine and the most frequently accessed
websites with the highest return on answers. The secondary aims of this
study were to assess the quality of the information provided on those
websites and to stratify, by category, which websites provide the best
quality information.
Materials and methods: Ten permutations and conjugations of the word
'osseointegration' were entered into Google. The first fifty 'People also
ask' and associated websites by Google's machine learning and natural
language processing engine were collected for each search term. The Rothwell
classification system of questions by topic (Fact, Value, Policy) and
websites by category was used (Commercial, Academic, Medical Practice,
Single Surgeon Personal, Government, Social Media). Website quality was
assessed using the Journal of the American Medical Association (JAMA)
benchmark criteria (Likert-style rating 0-4). Pearson's Chi-squared and
Student's t-tests were performed for statistical analysis as appropriate
(significance, p < 0.05).
Results: The 10 search terms generated 454 questions and referenced 408
websites. Of the 454 questions generated, the most common question
categories were fact (70.8%), value (19.2%), and policy (10%). The most
common website type was social media (37.4%). The most common question types
were technical details (30.4%), specific activity (20.6%), and cost (14.1%).
Only 1.6% of questions related to risks and complications. Generally,
website quality was poor with 64.1% having a JAMA score of 0 or 1. Websites
that were categorised as 'Government' had the highest overall JAMA scores:
71.4% had a score of 4.
Conclusion: Based on Google search engine's results, the most commonly asked
questions about osteointegration related to technical details, specific
activities and cost; only 1.6% related to risks and complications.
Interestingly, social media websites represented the highest volume of
search result referrals. Overall, the quality of websites was poor with the
most factual information coming from governmental websites.
How to cite this article: Murphy EP, Sheridan GA, Page BJ, et al. Modern
Internet Search Analytics and Osseointegration: What Are Patients Asking and
Reading Online? Strategies Trauma Limb Reconstr 2023;18(3):163-168.
Keywords: Cost; Google; Online health information; Osseointegration;
Prosthesis; Search analytics
DOI: https://doi.org/10.5005/jp-journals-10080-1603
URL: http://pubmed.ncbi.nlm.nih.gov/38404563
Indian J Psychiatry. 2024 Jan;66(1): 111-115
22. Impact of global public health days on online
health-information-seeking behavior related to substance use: An analysis
of five-year data.
Swarndeep Singh, Yatan Pal Singh Balhara
The United Nations Organizations observe various global public health days
(GPHDs) (also known as world days) throughout the year. We aimed to assess
the impact of GPSDs on online health information-seeking behavior related to
substance use in the Indian context. We used the Google Trends data for this
study using standard guidelines. We conducted a topic search for the query
"Substance abuse" to capture online information-seeking behavior (OHISB) for
substance use disorder-related searches. The data were analyzed using the
Joinpoint Regression software. Joinpoint regression model analysis was
conducted to determine the statistically significant daily percent change
(DPC) in the RSV trend. We found that there were significant changes in
OHISB for substance use-related disorders on the International Day Against
Drug Abuse and Illicit Trafficking over the last five years. The increase in
the pattern of online search for substance use-related information was not
observed around the World No Tobacco Day, World Mental Health Day, and World
Suicide Prevention Day. Since most of these world health days are likely to
continue to be observed in the coming years, it is important to regularly
assess their impact as well as make the necessary modifications to make them
more effective in achieving the desired objectives.
Keywords: Health days; internet; online health behavior; trends
DOI: https://doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_473_23
URL: http://pubmed.ncbi.nlm.nih.gov/38419939
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