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Record W3116717407 · doi:10.2196/23668

The Quality of Instructional YouTube Videos for the Administration of Intranasal Spray: Observational Study

2020· article· en· W3116717407 on OpenAlexvenueno aff
Marije M Peters-Geven, Corine Rollema, Esther Metting, Eric N. van Roon, Tjalling W. de Vries

Bibliographic record

VenueJMIR Medical Education · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsNasal administrationMedicineNasal sprayProtocol (science)Observational studyConfusionDrug administrationInter-rater reliabilityDosingAdministration (probate law)PsychologyInternal medicinePharmacologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Allergic rhinitis is a common disorder affecting both children and adults. Recommended treatment consists of intranasal corticosteroid spray administration, but only few patients administer the nasal spray in the correct technical manner. A wrong administration technique may result in side effects and affect the efficacy and adherence, thus making accurate administration instructions indispensable. Unfortunately, information about intranasal drug administration is generally not explained accurately, thereby leading to confusion among patients and inaccuracy in the self-administration of drugs. OBJECTIVE: In this study, we analyzed instructional videos available on YouTube for the administration of nasal sprays for allergic rhinitis. Our aim was to determine if the videos provided instructions in accordance with the standardized nationwide patient protocol in the Netherlands for intranasal spray administration. METHODS: Instructional videos for the administration of aqueous formulations of nasal spray for allergic rhinitis were found on YouTube. All videos were reviewed by 2 researchers and scored using the instructions from the Dutch standardized protocol. Correct instructions were given a score of 1, while incorrect or missing instructions were given a score of 0. The interrater reliability using Cohen ĸ was used to determine the differences in the scores between the researchers. RESULTS: We identified 33 YouTube videos made by different health care professionals and pharmaceutical companies around the world. None of the videos displayed all the steps correctly, while 5 of the 33 (15%) videos displayed over 75% of the steps correctly. The median score of the correctly displayed steps was 11 out of 19 (range 2-17, IQR 6). The interrater reliability using Cohen ĸ was statistically significant (range 0.872-1.00, P<.001). The steps "neutral position of the head," "breathing out through the mouth," and "periodically cleaning with water" scored the lowest and were incorrectly displayed in 28 (85%), 28 (85%), and 30 (91%) of the 33 videos, respectively. CONCLUSIONS: The findings of our study revealed that only few instructional videos on YouTube provided correct instructions for the administration of nasal sprays to patients. The inaccuracy of the instructions for nasal spray administration in the majority of the videos may lead to confusion in patients and incorrect use of nasal sprays. In the future, it is important to make evidence-based instructional videos that show patients the correct technique of nasal spray administration. TRIAL REGISTRATION: Not applicable.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.242
GPT teacher head0.578
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2020
Admission routes1
Has abstractyes

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