Telepresence Robot Intervention to Reduce Loneliness and Social Isolation in Older Adults Living at Home (Project DOMIROB): Protocol for a Clinical Nonrandomized Study
Bibliographic record
Abstract
BACKGROUND: There is a growing prevalence of loneliness and social isolation among older adults (OAs). These problems are often associated with depressive states, cognitive decline, sleep disorders, addictions, and increased mortality. To limit loneliness and social isolation in OAs, some authors recommend the use of new communication technologies to maintain a social link with family members as well as with health and social care professionals. Among these communication tools, telepresence robots (TRs) seem to be a promising solution. These robots offer users the possibility of making video calls with their relatives, social workers, and health care professionals, to maintain social contact and access to support services while living at home. Nevertheless, TRs have been relatively unstudied in real-life environments. OBJECTIVE: The main objective of this study is to measure the impact of a 12-week intervention using a TR on the feeling of loneliness and on social isolation of OAs living at home. Its secondary objective is to establish recommendations for the implementation of TRs in the studied context. METHODS: A nonrandomized study will be conducted among 60 OAs living at home who will participate in the study for 24 weeks. During this period, they will host a TR for 12 weeks to use it in their home. After the end of the intervention a 12-week follow-up ensues. In total, 4 evaluations will be performed over the entire experimental phase for each participant at weeks 0, 6, 12, and 24. A multidimensional assessment of the impact of the robot will be performed using a multimethod approach including standardized scales and a semistructured interview. This assessment will also help to identify the ergonomic aspects that influence the robot's usability and acceptability among OAs. RESULTS: Data collection started in September 2020 and is expected to be completed in early 2023. In August 2022, 56 participants were recruited for the study. Data analysis will take place between August 2022 and is expected to be completed in early 2023. CONCLUSIONS: The DOMIROB study will provide new knowledge on the impact of social TRs in OAs living at home. The results will make it possible to suggest technological, ethical, and organizational recommendations for the use and implementation of TRs for OAs in real-life settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT04767100; https://clinicaltrials.gov/ct2/show/NCT04767100. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40528.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".