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Record W2589550722 · doi:10.1097/dbp.0000000000000388

Information Needs and Preferences of Parents Considering Treatment of Child Anxiety

2017· article· en· W2589550722 on OpenAlexaff
Leanne Mak, John R. Walker, Diane Hiebert‐Murphy, Gary Altman

Bibliographic record

VenueJournal of Developmental & Behavioral Pediatrics · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInformation needsPsychosocialAnxietyPreferenceInformation seekingThe InternetPsychological interventionPsychologyFocus groupClinical psychologyPsychiatryMarketingComputer scienceBusinessWorld Wide Web

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the information needs and preferences of parents who were making decisions concerning treatment for their child's anxiety. METHODS: Ninety-three parents were recruited from hospital-based clinics, a parent group, and a public information meeting. They completed a survey about preference for decision-making involvement, information needs, and preferences concerning source and amount of information. RESULTS: Most (69%) parents indicated that they prefer a collaborative decision-making role. They rated very highly the need for general information related to treatment and information related to psychosocial interventions and medication treatment. Fewer parents rated information about logistics of treatment (e.g., scheduling, cost) as highly important although this information was considered important by many parents. Direct discussions with a provider, written information, and information accessed through the internet were the most preferred sources of information. Many parents indicated a preference for substantial amounts of information about psychosocial and medication treatments. CONCLUSION: Much of the information that parents want concerning treatment is not widely available. It would be helpful to develop evidence-based brochures and web information resources that focus on answering parents' questions concerning treatment of children's anxiety.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.203
GPT teacher head0.416
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2017
Admission routes1
Has abstractyes

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