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Symptom severity at first digital self-assessment is not associated with greater subsequent booking of professional care on a Saudi mental health platform: a cohort study of 5,524 users

Abdulmajeed A. Alkhamees

Frontiers in Psychiatry 2026 Vol. 17, pp. 1928345
https://doi.org/10.3389/fpsyt.2026.1928345

خواندن متن کامل ۷ صفحه · خواندن آنلاین · خارج از سقف مطالعه

چکیده

Background Digital mental health platforms routinely deliver self-administered symptom scales on the assumption that users with more severe symptoms are more likely to enter professional care. That assumption is rarely tested with linked participant-level data, and almost never in the Arabic-speaking Gulf. Objective To examine whether symptom severity at a user’s first self-assessment predicts booking a professional session within 90 days, across four symptom domains, on a Saudi commercial digital mental health platform. Methods Retrospective cohort analysis of 10,100 first assessments — depression, generalized anxiety, panic, and obsessive-compulsive scales — contributed by 5,524 unique users of the Talbinah platform and linked to demographic and session-booking records through a pseudonymous (SHA-256 hashed) user identifier. The primary outcome was any session booked within 90 days after the assessment. Severity was banded by the established cut-offs for the PHQ-9 and GAD-7, and by percentage of scale maximum for the panic and obsessive-compulsive measures, for which no severity thresholds are established. Per-scale multivariable logistic regression estimated adjusted odds ratios (aOR) for severity band (reference None/Minimal), adjusting for age, sex, and device type. Pre-specified sensitivity analyses used 30- and 180-day windows, an attended-session outcome, percentage-of-maximum banding applied to all four scales, and a subset with no prior booking (incident help-seeking). Reporting followed STROBE. Results Users were young (mean age 26.7 years, SD 8.1) and predominantly female (78.1%); 16.6% of first assessments were followed by a booking within 90 days. No severity band on any of the four scales was associated with higher odds of booking (severe vs None/Minimal: depression aOR 0.71, 95% CI 0.51–1.01; generalized anxiety 0.76, 0.49–1.16; panic 0.83, 0.52–1.31; obsessive-compulsive 1.01, 0.59–1.74). One severity contrast was statistically significant, in the opposite direction: moderate depression was associated with lower odds of booking (0.66, 95% CI 0.45–0.97). Older age (aOR ~1.2 per decade) and iOS device use (1.4–2.0) were associated with booking across scales. This absence of a positive severity–booking association was consistent across 30-, 90-, and 180-day windows, the attended-session outcome, and percentage-of-maximum banding; a nominal association for moderate anxiety seen under percentage banding did not persist with validated GAD-7 cut-offs. Estimates for the panic and obsessive-compulsive scales, which lack established severity thresholds, are exploratory. Conclusions On a Saudi digital mental health platform, greater self-reported symptom severity at first assessment was not followed by higher subsequent booking of professional care, consistently across specifications, and for moderate depression was associated with lower odds of booking; demographic and access-related attributes showed stronger associations with booking than symptom load did. Self-screening on its own appears insufficient as a pathway into care.

موضوع‌ها و کلیدواژه‌ها

افسردگیدرمانروانشناسی بالینیسلامت روانHelp-seekingSelf-assessmentdigital mental health platformsgeneralized anxiety disorderobsessive-compulsive symptomspanic disordersymptom severity

ارجاع

Alkhamees, A. A. (2026). Symptom severity at first digital self-assessment is not associated with greater subsequent booking of professional care on a Saudi mental health platform: a cohort study of 5,524 users. Frontiers in Psychiatry, 17, 1928345. https://doi.org/10.3389/fpsyt.2026.1928345

(Alkhamees, 2026)

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قوانین پرسش و گفتگو
  1. با احترام و بدون توهین، تحقیر، برچسب‌زنی یا حمله‌ی شخصی با دیگران گفتگو کنید.
  2. از نوشتن هرگونه اطلاعات هویتی یا قابل‌شناسایی مراجعان، بیماران یا اشخاص ثالث، از جمله نام، شماره‌ی تماس، تصویر، نشانی، محل کار یا جزئیات منحصربه‌فرد پرونده خودداری کنید.
  3. اگر درباره‌ی یک تجربه‌ی بالینی سؤال می‌کنید، اطلاعات را تا حد ممکن بی‌نام و کلی بیان کنید تا امکان شناسایی فرد وجود نداشته باشد.
  4. این بخش برای یادگیری و گفت‌وگوی علمی است و جایگزین ارزیابی، تشخیص، مشاوره یا روان‌درمانی شخصی نیست.
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  6. انتشار تبلیغات، معرفی خدمات شخصی، شماره‌ی تلفن، شناسه‌ی شبکه‌های اجتماعی، پیوند تبلیغاتی یا درخواست جذب مراجع در این بخش مجاز نیست.
  7. در بیان ادعاهای علمی، به‌ویژه درباره‌ی اثربخشی درمان‌ها، تشخیص یا یافته‌های پژوهشی، تا حد امکان نام منبع معتبر، مقاله یا راهنمای علمی را ذکر کنید.
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چکیده

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چکیده

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Exploring the Heterogeneity of the Externalizing Spectrum in Youth

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چکیده

Abstract Child and adolescent externalizing problems have often been conceptualized broadly with imprecise language (e.g., “disruptive behavior”) or inconsistently across varying taxonomies (e.g., oppositional defiant and conduct disorder symptoms, aggressive and rule-breaking behaviors). Establishing clarity around dimensions of externalizing problems is an essential step toward more accurate measurement and construct validity across the externalizing domain. To that end, the current study investigated fine-grained dimensions in the structure of youth externalizing psychopathology. Caregiver-report survey data were collected for a national community sample of 576 youth (ages 6–14; 45% female, 25% Hispanic), including measures of irritability, oppositionality, reactive and proactive aggression, conduct problems, hyperactivity/impulsivity, and inattention. We used exploratory factor analysis (EFA) to examine relations among externalizing dimensions at the item-level followed by confirmatory factor analysis (CFA) to examine relations at the construct-level. EFA results suggested that a 3-factor model best fit the data, including factors characterized by externalizing affect (e.g., “felt mad”), externalizing behavior (e.g., “bullies, threatens, or intimidates others”), and ADHD symptoms (e.g., “talks excessively”), with a few cross-loadings. Similarly, confirmatory models indicated that a 3-factor, non-hierarchical structure fit the data best when compared to three other models. Results provide support for distinct facets of the externalizing spectrum in child psychopathology, suggesting a preliminary direction for a unifying framework. These findings highlight the potential for future measurement research to further disentangle the distinct and overlapping facets of externalizing constructs, particularly using multiple methods and informants and with replication across samples.

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چکیده

Background: Prolonged screen exposure, after-hours connectivity, and sedentary work are linked to poor sleep and occupational burnout among Indian working professionals. Ayurvedic Dinacharya regulates waking, Vyayama, Bhojana Vidhi, and Nidra Vidhi; however, digital-era disruption of these domains among working adults remains unstudied. This study aimed to assess digital lifestyle behaviours mapped to Dinacharya principles as behavioural markers of Pragyaparadha, in relation to sleep quality and occupational burnout among working adults, and to identify behaviours independently associated with poor sleep and higher burnout. Methods: A cross-sectional analytical survey (STROBE-reported) was conducted at the All-India Institute of Ayurveda (AIIA), New Delhi, during (January 2026 to July 2026), among 400 working adults aged 25-40 years with ≥1 year of occupational experience. A structured proforma captured sociodemographic details and Dinacharya-mapped digital behaviours across five domains (morning routine, bedtime device use, after-hours connectivity, screen breaks/sedentary time, mealtime practices). Sleep quality and burnout were assessed using the PSQI and Copenhagen burnout inventory. Results: Of 400 participants, 56.8% had poor sleep quality, 61% personal burnout, and 55.8% work-related burnout. Bedtime device use and inadequate screen breaks/sedentary behaviour independently predicted poor sleep (aOR 1.76 and 1.98). After-hours connectivity, sedentary behaviour, and mealtime digital engagement predicted personal burnout; bedtime device use, sedentary behaviour, mealtime digital engagement, and digital overload predicted work-related burnout (all p<0.05). Conclusions: Digital lifestyle behaviours reflect patterns of Pragyaparadha in daily digital conduct. Interpreted through Dinacharya and Nidra, the findings support a culturally grounded, preventive Digital Dinacharya framework for digital-era occupational health.

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