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Record W4408573091 · doi:10.58837/chula.the.2006.839

Evaluative analysis and guideline development of consumer-based labeling for home-use in-vitro diagnostic test kit

2006· dissertation· en· W4408573091 on OpenAlexaboutno aff
Sumalee Pornkitprasarn

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsnot available
Fundersnot available
KeywordsGuidelineTest (biology)PsychologyMedicineComputer sciencePathologyBiology

Abstract

fetched live from OpenAlex

At present, Thailand has neither stringent control on labeling for home-use IVDs nor requirement on user or readability test. This study thus aimed at identifying problems and necessary requirements for labeling guideline development and validation through home pregnancy test kit (HPT) labeling. The study comprised 3 phases of problems identification, home-use IVD labeling guideline development, and guideline validation. Problem identification was conducted using Diagnostic Technique on 90 novice target consumers and content analysis on 20 labeling and international regulations. The domestic problem assessment by content analysis on 20 samples of HPT product labeling revealed problems related to design quality and content. Problems on design quality included small pale prints and drawings as well as poor print quality. Content problems were found on non-indicated contents, different claims in same labeling, 2 trade names in 1 leaflet, different claims for foreign sources of 2 products having same appearance and inner label along with too many promotional claims. The Fox readability assessment demanded above 8th grade education to comprehend these labeling. The consumer Diagnostic Test confirmed that no user among 90 recruited could pass the test. Contentwise, analysis pronounced the acceptable scores for 4 out of 29 content questions including HPT name, test method, positive and negative result reading. The perceptions on utility, design quality, and comprehensibility aspects were comparable with lowest mean score on comprehensibility. The use of Q&A part, a “box”, and indirect indication for important contents was found inappropriate for Thai lay users. The comparison on labeling regulations of Australia, Canada, EU, and U.S.A suggested sufficient with valuable and visible placement under normal sale conditions of simple concise contents in official language with proper design quality. Phase II study involved labeling guideline and HPT labeling prototype development. The developed guideline evaluated by experts’ panel could be used as the standard or reference in developing the home-use IVD labeling. The outcome from phase II was used as an input into Phase III study of which purpose was to validate the developed labeling guideline by all stakeholders and adapted before consumer testing on the HPT labeling prototype. The Diagnostic Testing was conducted twice with 22 newly recruited lay consumers each. The 1st round result revealed that 50% of users failed the consumer testing whereas 13 from 29 contents did not reach the acceptable score. After revision, the improvement of labeling in the 2nd round validated the guideline. Only 4 out of 22 users could not pass the consumer test and contentwise analysis detected only 5 nonpassing contents. The user perceptions on such labeling prototype showed much improvement from the 1st round to be very high mean score in the 2nd round testing. However, Thai labeling was still emphasized as essential. The readability level of the 2nd round labeling prototype needed at least 5th grade education which was less than obligated minimum education level for Thai people. In conclusion, the policy with regulation amendment and simple reliable means for labeling quality evaluation of other home-use medical devices and health products should be strengthened and realized by all stakeholders for more consumers’ protection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.353
Teacher spread0.324 · 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 teacher head, not a consensus.

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

Citations0
Published2006
Admission routes1
Has abstractyes

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