An mHealth Pain Coping Skills Training Intervention for Hematopoietic Stem Cell Transplantation Patients: Development and Pilot Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Pain is a challenge for patients following hematopoietic stem cell transplantation (HCT). OBJECTIVE: This study aimed to develop and test the feasibility, acceptability, and initial efficacy of a Web-based mobile pain coping skills training (mPCST) protocol designed to address the needs of HCT patients. METHODS: Participants had undergone HCT and reported pain following transplant (N=68). To guide intervention development, qualitative data were collected from focus group participants (n=25) and participants who completed user testing (n=7). After their input was integrated into the mPCST intervention, a pilot randomized controlled trial (RCT, n=36) was conducted to examine the feasibility, acceptability, and initial efficacy of the intervention. Measures of acceptability, pain severity, pain disability, pain self-efficacy, fatigue, and physical disability (self-report and 2-min walk test [2MWT]) were collected. RESULTS: Participants in the focus groups and user testing provided qualitative data that were used to iteratively refine the mPCST protocol. Focus group qualitative data included participants' experiences with pain following transplant, perspectives on ways to cope with pain, and suggestions for pain management for other HCT patients. User testing participants provided feedback on the HCT protocol and information on the use of videoconferencing. The final version of the mPCST intervention was designed to bridge the intensive outpatient (1 in-person session) and home settings (5 videoconferencing sessions). A key component of the intervention was a website that provided personalized messages based on daily assessments of pain and activity. The website also provided intervention materials (ie, electronic handouts, short videos, and audio files). The intervention content included pain coping advice from other transplant patients and instructions on how to apply pain coping skills while engaging in meaningful and leisure activities. In the RCT phase of this research, HCT patients (n=36) were randomized to receive the mPCST intervention or to proceed with the treatment as usual. Results revealed that the mPCST participants completed an average of 5 out of 6 sessions. The participants reported that the intervention was highly acceptable (mean 3/4), and they found the sessions to be helpful (mean 8/10) and easy to understand (mean 7/7). The mPCST participants demonstrated significant improvements in pre- to post-treatment pain, self-efficacy (P=.03, d=0.61), and on the 2MWT (P=.03, d=0.66), whereas the patients in the treatment-as-usual group did not report any such improvements. Significant changes in pain disability and fatigue were found in both groups (multiple P<.02); the magnitudes of the effect sizes were larger for the mPCST group than for the control group (pain disability: d=0.79 vs 0.69; fatigue: d=0.94 vs 0.81). There were no significant changes in pain severity in either group. CONCLUSIONS: Using focus groups and user testing, we developed an mPCST protocol that was feasible, acceptable, and beneficial for HCT patients with pain. TRIAL REGISTRATION: ClinicalTrials.gov NCT01984671; https://clinicaltrials.gov/ct2/show/NCT01984671 (Archived by WebCite at http://www.webcitation.org/6xbpx3clZ).
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».