Reaching target accrual (N=60) within 15 months.
| Group | Value | 95% CI |
|---|---|---|
| Total Consented Participants | 62 |
Last reviewed · How we verify
Initial Testing of a Mobile App Pain Coping Intervention for Outpatient Oncology Settings (PainPac)
NA trial testing PainPac in Colorectal Cancer in 62 participants. Completed in 30 October 2024.
| Lead sponsor | Duke University |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | supportive care |
| Enrollment | 62 |
| Start date | 28 September 2023 |
| Primary completion | 30 October 2024 |
| Estimated completion | 30 October 2024 |
| Sites | 1 location across United States |
Duke University
18 and older, any sex, with Colorectal Cancer. Patients with the condition only — healthy volunteers not accepted.
Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.
Reaching target accrual (N=60) within 15 months.
| Group | Value | 95% CI |
|---|---|---|
| Total Consented Participants | 62 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 2 | |
| PCST-Video | 1 |
Protocol adherence indicated by calculating the degree to which participants are willing/able to complete the study baseline assessment.
| Group | Value | 95% CI |
|---|---|---|
| Total Consented Participants | 60 |
Protocol adherence indicated by calculating the degree to which participants are willing/able to complete the post-study sessions assessment.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 28 | |
| PCST-Video | 27 |
Protocol adherence indicated by calculating the degree to which participants are willing/able to complete the 1-month follow up assessment.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 28 | |
| PCST-Video | 29 |
Includes protocol adherence indicated by calculating the degree to which participants are willing/able to complete the 4 PainPac skills modules or 4 PCST-Video sessions.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 27 | |
| PCST-Video | 24 |
10-item Client Satisfaction Questionnaire (CSQ). This questionnaire contains 10 items rated from 1=low acceptability to 4=high acceptability; scores are created by utilizing the Likert Scale to average Client Satisfaction Questionnaire answers resulting in a score range from 1-4. The participant will complete this acceptability questionnaire as part of the post-session follow up assessment. A higher score indicates a higher satisfaction, with 32 indicating 100% satisfaction and 8 indicating 0% satisfaction.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 28.11 | ± 3.74 |
| PCST-Video | 28.93 | ± 3.57 |
Atkinson's tool will also be used to assess perceived attributes of mHealth innovations. Tool has 30 items about mHealth, participant indicates their level of agreement or disagreement on a 6-point Likert scale: l=strongly disagree, 2=disagree, 3=somewhat disagree, 4=somewhat agree. 5=agree, and 6=strongly agree. Scores range from 1-6 with higher scores indicating a more positive assessment of PainPac.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 4.82 | ± .52 |
Post-Intervention, 10 items on a 10 point scale from 0=not at all confident to 10=completely confident. Total score ranges from 0-100. Patients are asked 10 items regarding their confidence in ability to use technology (computer and smartphone app). Higher scores indicate greater computer self-efficacy.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 83.71 | ± 19.82 |
Pain will be assessed with the Brief Pain Inventory (BPI). Patients will rate their "worst", "least", "average", and "now" pain from 0=no pain to 10=worst pain imaginable. An average of the responses to these items is used to create a single pain severity score.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 3.73 | ± 1.91 |
| PCST-Video | 4.55 | ± 2.32 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 3.88 | ± 1.88 |
| PCST-Video | 3.96 | ± 2.19 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 3.51 | ± 2.49 |
| PCST-Video | 3.37 | ± 2.10 |
Pain interference will be assessed with the Brief Pain Inventory (BPI) - Pain Interference Scale. Patients will rate how much pain interfered with a variety of activities and mood states over the last 7 days from 0=does not interfere to 10=completely interferes. An average of the responses to these items is used to create a single pain severity score ranging from 0-10.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 3.34 | ± 2.07 |
| PCST-Video | 4.08 | ± 2.55 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 3.05 | ± 1.69 |
| PCST-Video | 3.21 | ± 2.19 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 2.78 | ± 2.12 |
| PCST-Video | 2.77 | ± 2.07 |
5-item self-efficacy subscale of the Chronic Pain Self-Efficacy Scale. Items ask about patients' certainty about pain control, pain during activities, and reducing pain without extra medication using a 10=very uncertain to 100=very certain scale and averaged. Total score ranges from 10-100. Higher scores correspond to higher self-efficacy for pain management.
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 53.72 | ± 23.69 |
| PCST-Video | 59.70 | ± 23.08 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 63.79 | ± 16.72 |
| PCST-Video | 67.92 | ± 21.32 |
| Group | Value | 95% CI |
|---|---|---|
| PainPac | 67.00 | ± 20.40 |
| PCST-Video | 65.52 | ± 22.61 |
PainPac is innovative in its potential to integrate with healthcare systems through electronic medical records (EMRs). PainPac leverages technology to increase patient access to interventions and uses real-time assessment to improve care. PainPac is positioned to rapidly provide improved care through combining biological data (e.g., EMRs, patient collected) with behavioral data to dramatically improve outcomes. PainPac could track beneficial outcomes related to clinical pain scores (e.g., patients with scores 4-8 benefit) and intervention implementation could be based on this; a more advanced possibility is use of geospatial tracking to predict space/time where pain is likely to impact functioning and push an intervention strategy - behavioral or pharmacological. PainPac is designed for future transmission of data to EMRs to inform providers of patient status. This work will provide data to bypass traditional efficacy trials and move quickly to a large effectiveness trial.
1 peer-reviewed publication reference this trial (live from Europe PMC):
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