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Record W2126859713 · doi:10.1136/ebn.7.3.78

Websites offering information about depression or cognitive behaviour therapy reduced depressive symptoms

2004· letter· en· W2126859713 on OpenAlexaff
Ruta Valaitis

Bibliographic record

VenueEvidence-Based Nursing · 2004
Typeletter
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIMGMedicineDepression (economics)BlindingPediatricsRandomized controlled trialInternal medicineComputer science

Abstract

fetched live from OpenAlex

Christensen H, Griffiths KM, Jorm AF. Delivering interventions for depression by using the internet: randomised controlled trial. BMJ 2004;328:265–8.[OpenUrl][1][Abstract/FREE Full Text][2] Q In community dwelling patients with depression, do websites offering information about depression or cognitive behaviour therapy (CBT) reduce depressive symptoms? ### ![Graphic][3]</img>Design: randomised controlled trial. ### ![Graphic][4]</img>Allocation: {concealed}*. ### ![Graphic][5]</img>Blinding: unblinded. ### ![Graphic][6]</img>Follow up period: 6 weeks of intervention. ### ![Graphic][7]</img>Setting: Canberra, Australian Capital Territory, Australia. ### ![Graphic][8]</img>Patients: 525 patients 18–52 years of age (mean age 36 y, 71% women) who had symptoms of depression but were not receiving clinical care and had access to the internet. ### ![Graphic][9]</img>Intervention: a website offering information about depression (BluePages, http://bluepages.anu.edu.au) (n = 165) or CBT (MoodGYM, http://moodgym.anu.edu.au) (n = 182), or an “attention placebo” (control) (n = 178). … [1]: {openurl}?query=rft.jtitle%253DBMJ%26rft_id%253Dinfo%253Adoi%252F10.1136%252Fbmj.37945.566632.EE%26rft_id%253Dinfo%253Apmid%252F14742346%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bmj&resid=328/7434/265&atom=%2Febnurs%2F7%2F3%2F78.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif [9]: /embed/inline-graphic-7.gif

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.710
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.066
GPT teacher head0.397
Teacher spread0.331 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations2
Published2004
Admission routes1
Has abstractyes

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