Consumer health information on the Internet: an evaluation report on the Nova Scotia Health Network
Bibliographic record
Abstract
The Nova Scotia Health Network (NSHN) is a province-wide, Web-based consumer health information service provided through the cooperative efforts of various organizations, including public libraries, health sciences libraries, the Nova Scotia Provincial Library, and Dalhousie University. The primary intent of the NSHN was to build on existing community resources to provide a quality source of local and general health information. Objective – The purpose was to evaluate the NSHN from the perspective of its users in relation to the ease of use of the site and the usability of the information and content. Methods – A descriptive design was chosen to address the study objectives. Results – Study participants were those users of the NSHN site who agreed to complete and submit an online survey between June 2002 and June 2003. The majority of study respondents were white, middle-aged, English-speaking females, who resided in rural Nova Scotia. They were mostly able to find the information they wanted with little effort and in a reasonable time frame. One in four participants indicated that the information had been used to help them change their lifestyle, whereas one in three reported that they had shared the information with their health care provider. The content found on the site was very highly rated, with more than 90% reporting that the information was easy to understand, useful, and of high quality. Conclusion – The data obtained in this study was positive and encouraging. Sixty-six percent rated the site as a 4 or 5 (with 5 being the best rating) when compared with other health information sites they had visited. Individuals who visited the NSHN site in the past used the acquired information to change health care practices and (or) seek further treatment.
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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 | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".