ArticleJournal of gerontological nursing2025
Emerging Models of Care Using IT in Long-Term/Post-Acute Care: A Comparative Analysis of Human and AI-Driven Qualitative Insights.
Article in Journal of gerontological nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The use and methodological reporting of large language models in qualitative research: a scoping review.BMC medical research methodology · 2026Article
- Exploring evaluation measures of large language models for family caregiver use: A scoping review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
purposeAs the global population ages, long-term/post-acute care (LTPAC) systems face challenges in ensuring quality care for older adults with complex medical needs. Using health information technology (IT) is a promising strategy to address these challenges. However, evidence gaps remain regarding barriers and facilitators to technology integration in LTPAC. Thus, the current study explored barriers and facilitators to technology adoption in emerging models of care for older adults through the International Summit on Innovation and Technology for the Care of Older People (IS-ITCOP).
methodThe IS-ITCOP Summit, held in June 2024, brought together 47 interdisciplinary experts from eight countries. Qualitative data were collected via facilitated discussion groups and analyzed using two approaches: human-coded thematic analysis and ChatGPT 4.0-driven analysis.
resultsShared themes included technology barriers, ethical considerations, workforce challenges, and patient-centered care. Human analysis emphasized abstract themes, whereas ChatGPT provided granular insights on emerging technologies.
conclusionCombining human and artificial intelligence-driven analyses enriched understanding, highlighting opportunities and challenges for integrating IT into LTPAC systems. [
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.