TY - JOUR
T1 - Predictors of participant compliance with ecological momentary assessment among individuals with chronic pain who are using cannabis and opioids
AU - Joo, Jungin
AU - Devkota, Janardan
AU - Stone, Bryant M.
AU - Dunn, Kelly
AU - Zipunnikov, Vadim
AU - Vandrey, Ryan
AU - Finan, Patrick Hamilton
AU - Thrul, Johannes
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/12
Y1 - 2024/12
N2 - Background: Cannabis may be an alternative or adjunct to opioid therapy for chronic pain. However, there are limited data on patterns of opioid medication and medical cannabis use. The current study investigated the feasibility of using Ecological Momentary Assessment (EMA) to assess patterns of prescription opioids and medical cannabis among individuals experiencing chronic pain. Method: The study included 133 participants recruited online. Participants were 42.6 (SD = 13.9) years old on average and the majority were men (57.9 %) and Non-Hispanic White (63.2 %). Participants completed a baseline assessment, followed by 30 days of EMA data collection with four randomly prompted past-hour surveys and one daily diary per day, and a follow-up survey that assessed perceived EMA burden. Simple and multivariable linear regression models were estimated to investigate participant predictors of the proportion of EMA surveys completed (past-hour surveys and daily diaries in separate models). Results: Compliance rates for EMA prompts were 89.7 % for daily diaries and 63.3 % for past-hour surveys. In multivariable regression, participants holding a graduate degree completed a lower proportion of daily diaries (b = −0.109, SE = 0.052, p < .05) and past-hour surveys (b = −0.148, SE = 0.071, p < .05), compared to those with less than a 4-year degree. Participants completing a higher proportion of daily diaries reported greater ease of use at follow-up (b = 0.050, SE = 0.022, p < .05) and those completing a higher proportion of past-hour surveys desired higher rewards (b = 0.066, SE = 0.033, p < .05). Conclusions: Study results confirm the feasibility of using EMA methods to assess patterns of prescription opioids and medical cannabis among individuals experiencing chronic pain.
AB - Background: Cannabis may be an alternative or adjunct to opioid therapy for chronic pain. However, there are limited data on patterns of opioid medication and medical cannabis use. The current study investigated the feasibility of using Ecological Momentary Assessment (EMA) to assess patterns of prescription opioids and medical cannabis among individuals experiencing chronic pain. Method: The study included 133 participants recruited online. Participants were 42.6 (SD = 13.9) years old on average and the majority were men (57.9 %) and Non-Hispanic White (63.2 %). Participants completed a baseline assessment, followed by 30 days of EMA data collection with four randomly prompted past-hour surveys and one daily diary per day, and a follow-up survey that assessed perceived EMA burden. Simple and multivariable linear regression models were estimated to investigate participant predictors of the proportion of EMA surveys completed (past-hour surveys and daily diaries in separate models). Results: Compliance rates for EMA prompts were 89.7 % for daily diaries and 63.3 % for past-hour surveys. In multivariable regression, participants holding a graduate degree completed a lower proportion of daily diaries (b = −0.109, SE = 0.052, p < .05) and past-hour surveys (b = −0.148, SE = 0.071, p < .05), compared to those with less than a 4-year degree. Participants completing a higher proportion of daily diaries reported greater ease of use at follow-up (b = 0.050, SE = 0.022, p < .05) and those completing a higher proportion of past-hour surveys desired higher rewards (b = 0.066, SE = 0.033, p < .05). Conclusions: Study results confirm the feasibility of using EMA methods to assess patterns of prescription opioids and medical cannabis among individuals experiencing chronic pain.
KW - Cannabis
KW - Chronic pain
KW - Compliance
KW - Ecological momentary assessment
KW - Opioid
KW - Patterns
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U2 - 10.1016/j.invent.2024.100784
DO - 10.1016/j.invent.2024.100784
M3 - Article
C2 - 39611051
AN - SCOPUS:85208597676
SN - 2214-7829
VL - 38
JO - Internet Interventions
JF - Internet Interventions
M1 - 100784
ER -