ArticleHeliyon2020
The computerized cognitive training alliance - A proposal for a therapeutic alliance model for home-based computerized cognitive training.
Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review.NeuroRehabilitation · 2022Pooled it
- The use of commercial computerised cognitive games in older adults: a meta-analysis.Scientific reports · 2020Pooled it
- Identifying central elements of the therapeutic alliance in the setting of telerehabilitation: A qualitative study.PloS one · 2024Article
- Factors that influence the provision of home-based rehabilitation services for people needing rehabilitation: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2023Review
- Toward Personalized Web-Based Cognitive Rehabilitation for Patients With Ischemic Stroke: Elo Rating Approach.JMIR medical informatics · 2021Article
- COVID-19 and Dementia; Hard to Forget Yet Haunting Forgetfulness!Annals of Indian Academy of NeurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo increase the number of hours available for cognitive rehabilitation, it may be an option to use the spouse or paid assistants to assist with computerized home training. However, the delegation of training responsibilities may affect the normal roles of the therapist, the spouse and the training assistants.
objectiveThis article suggests a new model for understanding the impact of computerized home training on the therapeutic alliance between the therapist, the patient and training assistants. Aspects of this knowledge are relevant also for the development and use of computerized training systems in clinical settings.
methodQualitative Interpretative Phenomenological Analysis (IPA) of semi-structured interviews was used to analyse the experience gained during home-based computerized cognitive training.
resultsHome-based computerized training enforces the delegation of aspects of the therapeutic alliance established between the therapist and the patient. The perceived authority of assistants and computer training systems may differ from the authority established through the patient/therapist alliance. Information may be lost in transition impacting skills and expertise long-term.
conclusionRoles and responsibilities between the therapist, the assistants and the computerized training system need to be clearly defined. A Cognitive Training Alliance model is being proposed which takes into consideration the challenges of delegating training responsibility to computer systems and non-professional assistants.
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.