Metraipolis › archive › dc_06ef7ecb45b2

Healthcare Utilization, Chronic Condition Management, and Workplace Functioning Among Users of a Purpose-Built Mental Health AI (Ash): Cross-Sectional Study — arXiv:2609.08890

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.08890
License (as archived): CC0-1.0
Archived: 2026-10-16T13:46:48.490Z
SHA-256 of the archived text: 5d6a028211649f691a77e03bb55d6cca25e78112e50f381e27a69f6a2cc6ff9f
Stable URL of this page: https://metraipolis.com/documento/dc_06ef7ecb45b2

How to cite

Healthcare Utilization, Chronic Condition Management, and Workplace Functioning Among Users of a Purpose-Built Mental Health AI (Ash): Cross-Sectional Study — arXiv:2609.08890 — arXiv (en), https://arxiv.org/abs/2609.08890 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_06ef7ecb45b2 (Metraipolis archive dc_06ef7ecb45b2, sha256 5d6a028211649f691a77e03bb55d6cca25e78112e50f381e27a69f6a2cc6ff9f)

BibTeX

@misc{dc06ef7ecb45b2,
  title = {Healthcare Utilization, Chronic Condition Management, and Workplace Functioning Among Users of a Purpose-Built Mental Health AI (Ash): Cross-Sectional Study — arXiv:2609.08890},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.08890},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_06ef7ecb45b2; sha256 5d6a028211649f691a77e03bb55d6cca25e78112e50f381e27a69f6a2cc6ff9f},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.08890. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Mental health challenges can exacerbate physical symptoms and complicate management of chronic conditions. Purpose-built artificial intelligence (AI) tools may offer scalable support for co-occurring mental and physical health concerns. This cross-sectional study compared past-6-month healthcare utilization, chronic condition management, physical health behaviors, mental health change, and workplace functioning between active (n = 169) and non-users (n = 73) of a mental health AI (Ash). Participants had at least one chronic condition (e.g. hypertension, chronic pain). Binary outcomes were modeled as adjusted risk differences (RDs) using linear probability models and continuous outcomes were modeled with linear regression; all models were adjusted for hypertension. Relative to non-users, active users were more likely to report improved mental health (61.4% vs. 34.3%; RD = 0.27), higher medication adherence (91.7% vs. 76.4%, RD = 0.15), fewer skipped or delayed chronic-condition care activities (b = -0.44), and were less likely to report repeat urgent care visits (9.5% vs. 23.3%; RD = -0.15) and monthly-or-more absenteeism (24.2% vs. 45.2%; RD = -0.20, all ps < .05). Findings provide preliminary evidence that use of purpose-built AI may be associated with positive symptom-based and utilization outcomes for those managing co-occurring mental and physical concerns.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-09 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2609.08890 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T13:28:43.152Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-09-09?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).