Using a Digital Approach to Improving Mental Health in Adults With Self-reported Psoriasis: An Analysis of Real-world User Data
Notice bibliographique
Résumé
Background Visible scales and perceived stigma often lead to feelings of embarrassment, shame, low self-esteem, and self-consciousness among people with psoriasis. Beyond the negative effects of this distress on mental health, some researchers also argue that the inflammatory response caused by psoriasis predisposes patients with psoriasis to mental health conditions like depression. Given that anxiety and depression are linked to higher disease activity and pain in patients with psoriasis, researchers have argued that an important component of any psoriasis management plan should include addressing mental health. However, a shortage of mental health professionals, particularly in low income and rural areas, makes access to mental health care more challenging than many other common referrals—a problem that has been exacerbated in light of the COVID-19 pandemic. Objective This study aims to explore the feasibility of using a digital mental health intervention to help improve subjective well-being and anxiety among adults with self-reported psoriasis. Methods Real-world users who signed up for the digital wellness program, Happify, between January 1, 2017, and June 10, 2021, and who reported having psoriasis during onboarding were included in this analysis. To qualify, users had to complete at least two in-app assessments (which include a proprietary measure of subjective well-being, the Happify Scale, and the Generalized Anxiety Disorder 2 scale to measure anxiety), complete at least 1 Happify activity, complete no more than 3 activities before taking their first assessment, and had to have at least 42 days between their first and last assessment. We examined changes in well-being and anxiety among these participants based on Happify use (recommended vs less than recommended). Results Users who engaged with the program at the recommended level experienced significantly greater improvements in both well-being (P<.001) and anxiety (P=.01). More specifically, users who completed the recommended number of activities improved their well-being scores by 26.8%, whereas users who completed fewer activities improved their well-being scores by only 4.11%. Similarly, users who completed the recommended number of activities improved their anxiety scores by 26.64%, compared to 8.15% among those who engaged below the recommended level. Conclusions These data suggest that a digital mental health intervention can effectively improve both subjective well-being and anxiety among patients with psoriasis when used at the recommended level. Although future research is required to better understand whether this subsequently impacts disease-specific outcomes, such as disease activity and pain, our data suggest that a digital approach may be one method of providing greater access to mental health support for patients with psoriasis, increasing the likelihood that it can be incorporated into their treatment plan. Conflicts of Interest None declared.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».