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Record W4400976590 · doi:10.1371/journal.pmen.0000048

Sex and gender reporting in RCTs of internet and mobile-based interventions for depression and anxiety in chronic conditions: A secondary analysis of a systematic review

2024· review· en· W4400976590 on OpenAlexafffund
Shaina Corrick, Emily Johnson, Serena Isley, Ben Vandermeer, Naomi Dolgoy, Jack Bates, Elana Godfrey, Cassidy Soltys, Conall Muir, Nicole L. Tegg, Colleen M. Norris, Puneeta Tandon

Bibliographic record

VenuePLOS mental health. · 2024
Typereview
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchMitacsAlberta Health Services
KeywordsPsychological interventionMental healthAnxietyAttritionMedicinePsychologyDepression (economics)Clinical psychologyPsychiatryGerontology

Abstract

fetched live from OpenAlex

Mind-body internet- and mobile-based intervention (IMIs) are gaining traction as scalable and effective strategies to manage mental health symptoms experienced by people living with chronic physical conditions. Sex and gender have implications for mind-body IMI participation, adherence, and efficacy. The objective of this secondary analysis was to assess the extent and nature of reporting of sex and/or gender in randomized controlled trials retrieved by a primary systematic review of mind-body IMIs assessing depression and anxiety symptoms among adults living with chronic physical conditions. The collected information included whether sex and gender-based analyses were carried out and explored the role of sex and gender on mental health outcomes, attrition, and recruitment rates. The protocol was registered with PROSPERO. A comprehensive search of six electronic databases was completed from database inception to March 2023. Sex and gender terms were summarized according to a standardized, three-point criteria: (1) non-binary use (i.e., > 2 categories used for both sex and gender definitions) (2) use of appropriate categories (i.e., sex = male/female/intersex, gender = man/woman/gender-diverse) and (3) non-interchangeable use of sex or gender terms throughout the citation. The use of sex and gender terms was deemed correct if all three criteria were met. The role of sex and gender on mental health outcomes, attrition and recruitment data were extracted where available. In the 56 included studies, 7691 participants were evaluated with a mean age of 43 years and 4780 (62%) were described as females/women. Two (4%) studies defined sex or gender using non-binary categorization. Twenty-eight (50%) studies used appropriate categories to define sex or gender. Twenty-five (45%) studies used sex and gender terms non-interchangeably. No studies met all three sex/gender criteria. Only one study provided stratified mental health scores by sex and/or gender within the publication. Eleven (20%) studies reported sex or gender imbalance as being a potential reason for outcome differences, with 3 studies conducting an adjusted statistical analysis investigating sex/gender as a moderator. Findings highlight low uptake of sex and gender considerations in the context of mind-body IMIs. Results underscore the need to incorporate guideline-based sex and gender terms and concepts, from data collection and analysis to reporting of evidence to inform mind-body IMI development and guide future research. Stratified sex and/or gender analyses are encouraged in future studies to assess intervention outcome differences.

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)0.002
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.033
Threshold uncertainty score0.776

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
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 head0.223
GPT teacher head0.493
Teacher spread0.270 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2024
Admission routes2
Has abstractyes

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