ReviewCureus2025
The Challenges and Value of Using Video-Assisted Education Tools and Digital Information Systems for Post-discharge Care in Elderly Patients: A Scoping Review.
Review in Cureus, 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.
- From clutter to confidence: home environmental triggers and adaptive solutions for freezing of gait in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Experiences From Older Patients Regarding Their Transition From the Acute Hospital to Their Home: A Phenomenological Study.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Continuity of care plays a vital role in ensuring the well-being of elderly patients as they transition from hospital to home. In recent years, video-assisted and digital information systems have emerged as potential tools to support this critical phase. While these technologies hold promise, there has been limited examination of their actual impact on patient outcomes and the experiences of patients and caregivers. To better understand their effectiveness, a scoping review was conducted to evaluate how well these systems maintain continuity of care and how they are perceived in post-discharge settings. The review adhered to established scoping methodologies and focused on English-language studies published between 2010 and 2022. Sources include Medline, Google Scholar, and Web of Science. Studies featuring video-based or digital discharge information, regardless of patients' age, were included to gain insight into implementation challenges. In total, 23 studies met the inclusion criteria. This review reveals that in certain settings, video-assisted discharge education systems can improve patient recall, reduce hospital readmissions and revisit rates, and are generally viewed positively by patients and caregivers, particularly when the information is tailored to the individual. However, several obstacles to effective implementation were also identified, including patients' discomfort with technology, resistance from healthcare providers, social barriers, and the time constraints associated with rapid discharge processes. Despite these challenges, video-assisted and digital discharge education systems show considerable potential to enhance post-discharge care. Their effectiveness, however, depends on various factors such as patient digital literacy, the clarity and personalization of the content, and the strength of the implementation process. To fully realize their benefits, it will be essential to address technological discomfort and provider resistance, ensuring that these tools are smoothly integrated into transitional care practices.
Indexed as
Identifiers
What OpenQuestion holds
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.