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Record W3201621284 · doi:10.21203/rs.3.rs-15809/v1

A Systematic Review of Validated Screening Tools for Anxiety Disorders and PTSD in Low to Middle Income Countries

2020· review· en· W3201621284 on OpenAlex
Anisa Y. Mughal, Jackson Devadas, Eric Ardman, Brooke Levis, Vivian F. Go, Bradley N. Gaynes

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

VenueResearch Square · 2020
Typereview
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnxietyLow and middle income countriesPsychiatryClinical psychologyPsychologyMedicineDeveloping countryEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Abstract Background : Anxiety and post-traumatic stress disorder (PTSD) contribute significantly to disability adjusted life years in low- to middle-income countries (LMICs). Screening has been proposed to improve identification and management of these disorders, but little is known about the validity of screening tools for these disorders. We conducted a systematic review of validated screening tools for detecting anxiety and PTSD in LMICs. Methods : MEDLINE, EMBASE, Global Health and PsychINFO were searched (inception-January 10, 2019). Eligible studies (1) screened for anxiety disorders and/or PTSD; (2) reported sensitivity and specificity for a given cut-off value; (3) were conducted in LMICs; and (4) compared screening results to diagnostic classifications based on a reference standard. Screening tool, cut-off, disorder, region, country, and clinical population were extracted for each included study. We assed quality using a modified version of Greenhalgh’s ten item checklist. Accuracy results were organized based on screening tool, cut-off, and specific disorder. Accuracy estimates for the same cut-off for the same screening tool and disorder were combined via meta-analysis. Results Of 5343 unique citations identified, 57 articles including 75 screening tools were included. There were 44, 20 and 11 validations for anxiety, PTSD, and combined depression and anxiety, respectively. Continentally, Asia had the most validations (34). Regionally, South Asia (10) had the most validations, followed by West Asia (9) and South Africa (9). The Kessler-10 (7) and the Generalized Anxiety Disorder-7 item scale (GAD-7) (6) were the most commonly validated tools for anxiety disorders, while the Harvard Trauma Questionnaire (3) and Posttraumatic Diagnostic Scale (3) were the most commonly validated tools for PTSD. Most studies (27) had the lowest quality rating (unblinded) followed by good (21). Due to incomplete reporting, we combined only two sets of accuracy values in meta-analysis (GAD-7 cut-off ≥10; sensitivity: 76%, specificity: 64%). Conclusion Use of brief screening instruments can bring much needed attention and research opportunities to various at-risk LMIC populations, yet many have been validated in inadequately designed studies. Locally validated screening tools for anxiety and PTSD need further evaluation and well-designed studies, including clinical trials, to determine whether their use can reduce the burden of disease. PROSPERO registry number: CRD42019121794

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.183
GPT teacher head0.515
Teacher spread0.332 · 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