Internet Use for Searching Information on Medicines and Disease: A Community Pharmacy–Based Survey Among Adult Pharmacy Customers
Bibliographic record
Abstract
BACKGROUND: The Internet is increasingly used as a source of health-related information, and a vast majority of Internet users are performing health-related searches in the United States and Europe, with wide differences among countries. Health information searching behavior on the Internet is affected by multiple factors, including demographics, socioeconomic factors, education, employment, attitudes toward the Internet, and health conditions, and their knowledge may help to promote a safer use of the Internet. Limited information however exists so far about Internet use to search for medical information in Italy. OBJECTIVE: The objective of this study was to investigate the use of the Internet for searching for information on medicines and disease in adult subjects in Northern Italy. METHODS: Survey in randomly selected community pharmacies, using a self-administered questionnaire, with open and multiple choices questions, was conducted. RESULTS: A total of 1008 participants were enrolled (59.5% women; median age: 43 years; range: 14-88 years). Previous use of the Internet to search for information about medicines or dietary supplements was reported by 26.0% of respondents, more commonly by women (30.00% vs 20.10% men, P<.001), unmarried subjects (32.9% vs 17.4% widowed subjects, P=.022), and employed people (29.1% vs 10.4% retired people, P=.002). Use was highest in the age range of 26 to 35 (40.0% users vs 19.6% and 12.3% in the age range ≤25 and ≥56, respectively, P<.001) and increased with years of education (from 5.3% with 5 years, up to 41.0% with a university degree, P<.001). Previous use of the Internet to search for information about disease was reported by 59.1% of respondents, more commonly by women (64.5% vs 51.0% males, P<.001), unmarried subjects (64.2% vs 58.5% married or divorced subjects and 30.4% widowed subjects, P=.012), unemployed people (66.7% vs 64.0% workers and 29.9% retired people, P<.001). Use was highest in the age range of 26 to 35 (70.1% vs 64.4% in both 36-45 and 46-55 ranges and 35.1% in ≥56, P<.001) and increased with years of education (from 12.5% with 5 years up to 66.7% with 13 years and 68.6% with a university degree, P<.001). Retrieved information was rated as satisfactory by about 87.5% (88.1% women and 86.2% men, P=.562). Recent use of medicines or dietary supplements was associated with more frequent use of the Internet to search for disease and drugs. CONCLUSIONS: The study provides detailed information on the use of the Internet for searching for information on medicines and disease in the Italian population. Gender, age, social status and level of education, and the previous use of medicines, affect searching behaviors and use patterns. Results can support educational interventions to promote the retrieval of high-quality information by Internet users and health professionals advising patients about appropriate use of Internet for health-related purposes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".