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Record W2976779570 · doi:10.2196/15132

Searching the Internet for Infertility Information: A Survey of Patient Needs and Preferences

2019· article· en· W2976779570 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Medical Internet Research · 2019
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsMount Sinai HospitalMcGill University Health CentreJewish General HospitalOttawa Fertility CentreMcGill University
Fundersnot available
KeywordsInfertilityThe InternetDistressInformation needsMedicineFamily medicinePsychologyClinical psychologyPregnancyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Given the complexity of infertility diagnoses and treatments and the convenience of the internet for finding health-related information, people undergoing infertility treatments often use Web-based resources to obtain infertility information and support. However, little is known about the types of information and support resources infertility patients search for on the internet and whether these resources meet their needs. OBJECTIVE: The aims of this study were to (1) examine what individual factors, namely, demographic characteristics and distress, are associated with searching the internet for different types of infertility-related information and support resources and (2) determine whether Web-based resources meet the needs of patients. METHODS: Men and women seeking infertility care responded to a survey assessing use of Web-based resources for accessing infertility-related information and support. The survey further assessed satisfaction with Web-based resources as well as perceived stress and depressive symptomatology. RESULTS: A total of 567 participants, including 254 men and 313 women, completed the survey. Most participants (490/558, 87.8%) had searched the internet for infertility information and support. Searchers were more likely to be women (P<.001), highly educated (P=.04), long-term patients (P=.03), and more distressed (P=.04). Causes of infertility, treatment options, and scientific literature about infertility were the three most frequently searched topics, whereas ways to discuss treatment with family and friends as well as surrogacy and ways to find peer support were the three least searched topics. Of those who searched the internet, 70.9% (346/488) indicated that their needs were met by Web-based information, whereas 29.1% (142/488) said that their needs were not met. Having unmet needs was related to greater levels of perceived stress (P=.005) and depressive symptomatology (P=.03). CONCLUSIONS: This study provides evidence for the important role of the internet in accessing infertility information and support and for the ability of Web-based resources to meet patients' needs. However, although distressed patients reported particularly high rates of searching, their needs were not always met, suggesting that they may benefit from alternative sources of information and support or guidance from health care providers when searching the internet.

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.

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)0.011
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.142
GPT teacher head0.454
Teacher spread0.312 · 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