Age and Context Sensitivity Associated with Reduced Success in Finding Health Information Online
Notice bibliographique
Résumé
A Review of: Agree, E. M., King, A. C., Castro, C. M., Wiley, A., & Borzekowski, D. L. G. (2015). “It’s got to be on this page”: Age and cognitive style in a study of online health information seeking. Journal of Medical Internet Research, 17(3), e79. http://dx.doi.org/10.2196/jmir.3352 Objective – To determine the extent to which age and cognitive style influence an individual’s ability to successfully locate health information online. Design – Quantitative study employing scales and regression analysis. Setting – A school of public health and a school of medicine at two universities in the United States of America. Subjects – 346 men and women 35 years or older. Methods – Participants for the Online Health Study (OHS) were recruited from the community at both study sites using stratified sampling and screened with a web-based tool to ensure they had the necessary level of digital literacy to complete the study tasks. Once enrolled, participants completed the Rapid Estimate of Adult Literacy in Medicine (REALM) to measure their health literacy and the Witkin Group Embedded Figures Test (GEFT) to determine their cognitive style (labelled by researchers as context sensitive or context independent). Participants were asked to search online for answers to six specific questions on heart-healthy diets, flu vaccinations, alternative medicine and memory, genetic testing, assistive medical technology, and skin cancer, with 15 minutes of search time allowed for each question. Participants reported their answers after each search, which were later assigned scores for accuracy and for specificity. When combined, these two scores were used as a measure of success. Researchers used STATA 11 statistical software to run logistic regression, ordinal logistic regression, and generalized linear models on the data in order to predict which variables were associated with success on the search tasks. Main Results – Only 323 of the 346 participants completed all study tasks, and their data formed the basis of the analysis. On average, participants correctly answered 4.1 out of 6 questions. Participants provided the most accurate and successful answers for the question on heart-healthy foods, and the least accurate answers on the question about seasonal flu shots. They were the least successful in answering the question about herbal supplements for memory. Across all models, older participants were less likely to be successful in locating the answers to the questions than younger participants, even controlling for the other variables measured in the study. In particular, older participants had the most difficulty with the question on medical technology, which required the use of mapping. Overall, the models suggest that higher levels of education, greater daily Internet use, and higher health literacy were associated with greater success on the search tasks, the extent to which varied from question to question. The exception in the case of education was the question relating to herbal supplements and memory, as participants with higher levels of education were more likely to score poorly in their responses. Participants whose cognitive style was found to be context sensitive were less likely to find the information needed in their online searches than those who were context independent, particularly on the questions relating to a heart-healthy diet, skin cancer, and medical technology. Conclusion – The study suggests that age, cognitive style, level of health literacy, daily Internet use, and prior education are all important variables in determining whether an individual can successfully take advantage of the increasing amount of health information available on the Internet. Specific approaches to web design could be used to improve the success rate of those who are context sensitive, and greater support and direction to reputable online health sources from medical and information professionals could assist those who are less health literate.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,358 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».