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Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping
Jain FA, Okereke O, Gitlin L, Pedrelli P, Onnela JP, Nyer M, Ramirez Gomez LA, Pittman M et al.. Contemporary clinical trials, 2022-03-21
Topic: Risk, prevention and care in population studies
More than 50 million people worldwide live with a dementia, and most are cared for by family members. Family caregivers often experience chronic stress and insomnia, resulting in decreased mental and physical health. Accessibility of in-person stress reduction therapy is limited due to caregiver time constraints and distance from therapy sites. Mentalizing imagery therapy (MIT) provides mindfulness and guided imagery tools to reduce stress, promote self and other understanding, and increase feelings of interconnectedness. Combining MIT with caregiver skills training might enable caregivers to both reduce stress and better utilize newly learned caregiving skills, but this has never been studied. Delivering MIT through a smartphone application (App) has the potential to overcome difficulties with scalability and dissemination and offers caregivers an easy-to-use format. Harnessing passive smartphone data provides an important opportunity to study behavioral changes continuously and with higher granularity than routine clinical assessments. This protocol describes a randomized, controlled, superiority trial in which 120 family dementia caregivers, aged 60 years or older, will be assigned to smartphone App delivery of caregiver skills with MIT (experimental condition) or without MIT (control condition). The primary objectives of the trial are to assess whether the experimental condition is superior to control on reducing family caregiver stress, insomnia and related outcomes and to demonstrate the feasibility of developing behavioral markers from passive smartphone data that predict health outcomes in older adults. Trial outcomes may inform the suitability of our intervention for caregivers and provide new methods for assessment of older adults.
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APA 7th
Jain, F. A., Okereke, O., Gitlin, L., Pedrelli, P., Onnela, J. P., Nyer, M., et al. (2022). Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping. Contemporary clinical trials. https://doi.org/10.1016/j.cct.2022.106737
Vancouver
Jain FA, Okereke O, Gitlin L, Pedrelli P, Onnela JP, Nyer M, et al. Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping. Contemporary clinical trials. 2022. doi:10.1016/j.cct.2022.106737. PMID: 35331943.
BibTeX
@article{jain2022-35331943,
author = {Jain, F. A. and Okereke, O. and Gitlin, L. and Pedrelli, P. and Onnela, J. P. and Nyer, M. and Ramirez Gomez, L. A. and Pittman, M. and others},
title = {{Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping}},
journal = {Contemporary clinical trials},
year = {2022},
doi = {10.1016/j.cct.2022.106737},
pmid = {35331943},
url = {https://doi.org/10.1016/j.cct.2022.106737}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- Delivering MIT through a smartphone application (App) has the potential to overcome difficulties with scalability and dissemination and offers caregivers an easy-to-use format.
- Harnessing passive smartphone data provides an important opportunity to study behavioral changes continuously and with higher granularity than routine clinical assessments.
- This protocol describes a randomized, controlled, superiority trial in which 120 family dementia caregivers, aged 60 years or older, will be assigned to smartphone App delivery of caregiver skills with MIT (experimental condition) or without MIT (control condition).
- The primary objectives of the trial are to assess whether the experimental condition is superior to control on reducing family caregiver stress, insomnia and related outcomes and to demonstrate the feasibility of developing behavioral markers from passive smartphone data that predict health outcomes in older adults.
- Trial outcomes may inform the suitability of our intervention for caregivers and provide new methods for assessment of older adults.
Study details
- Evidence strengthHigh
How this study scored 48/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported and studied in people because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 28 of the 58 points we could judge it on, which is 48 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Contemporary clinical trials) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 5 / 5 | Rated “high” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2022 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 1 / 2 | Randomised (as stated in the record) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 35331943) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 28 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 28 of the 58 points we could judge it on is 48 out of 100. |
| Total | 48 / 100 | — |
What each of these 20 components measures, and what this score is not →
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