MétaCan
Menu
Back to cohort
Record W4362712905 · doi:10.2196/39158

Acceptability of Online Yoga Among Individuals With Chronic Conditions and Their Caregivers: Qualitative Study

2023· article· en· W4362712905 on OpenAlexvenueno aff
Jennifer Dickman Portz, Arlene A. Schmid, Christine A. Fruhauf, Aimée Fox, Marieke Van Puymbroeck, Julia L. Sharp, Heather J. Leach

Bibliographic record

VenueJMIR Formative Research · 2023
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
FundersNational Center for Complementary and Integrative HealthNational Institute on AgingNational Institutes of Health
KeywordsPsychological interventionDyadIntervention (counseling)MedicinePhysical therapyPsychologyClinical psychologyNursingDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND: The online delivery of yoga interventions rapidly expanded during the COVID-19 pandemic, and preliminary studies indicate that online yoga is feasible across multiple chronic conditions. However, few yoga studies provide synchronous online yoga sessions and rarely target the caregiving dyad. Online chronic disease management interventions have been evaluated across conditions, life spans, and diverse samples. However, the perceived acceptability of online yoga, including self-reported satisfaction and online delivery preferences, is underexplored among individuals with chronic conditions and their caregivers. Understanding user preferences is essential for successful and safe online yoga implementation. OBJECTIVE: We aimed to qualitatively examine the perceived acceptability of online yoga among individuals with chronic conditions and their caregivers who participated in an online dyadic intervention that merged yoga and self-management education to develop skills (MY-Skills) to manage persistent pain. METHODS: We conducted a qualitative study among 9 dyads (>18 years of age; individuals experiencing persistent moderate pain) who participated in MY-Skills online during the COVID-19 pandemic. The intervention consisted of 16 online, synchronous yoga sessions over 8 weeks for both dyad members. After the completion of the intervention, participants (N=18) participated in semistructured telephone interviews for around 20 minutes, discussing their preferences, challenges, and recommendations for improved online delivery. Interviews were analyzed by using a rapid analytic approach. RESULTS: MY-Skills participants were, on average, aged 62.7 (SD 19) years; were primarily women; were primarily White; and had a mean of 5.5 (SD 3) chronic conditions. Both participants and caregivers reported moderate pain severity scores (mean 6.02, SD 1.3) on the Brief Pain Inventory. The following three themes were identified related to online delivery: (1) participants indicated a preference for the intervention to be in person rather than online because they were distracted in the home setting, because they felt that in-person yoga would be more engaging, because the yoga therapist could physically correct positions, and because of safety concerns (eg, fear of falling); (2) participants indicated good acceptability of online MY-Skills delivery due to convenience, access, and comfort with being in their home; and (3) recommendations for improving online delivery highlighted a need for additional and accessible technical support. CONCLUSIONS: Both individuals with chronic conditions and their caregivers find online yoga to be an acceptable intervention. Participants who preferred in-person yoga did so due to distractions in the home and group dynamics. Some participants preferred in-person corrections to ensure correct positioning, while others felt safe with verbal modifications in their homes. Convenience and access were the primary reasons for preferring online delivery. To improve online delivery, future yoga studies should include specific activities for fostering group engagement, enhancing safety protocols, and increasing technical support. TRIAL REGISTRATION: ClinicalTrials.gov NCT03440320; https://clinicaltrials.gov/ct2/show/NCT03440320.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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.

Opus teacher head0.119
GPT teacher head0.508
Teacher spread0.389 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Formative ResearchSame topicMindfulness and Compassion InterventionsFrench-language works237,207