TY - JOUR
T1 - Assessing Health-Related Outcomes of Medical Cannabis Use among Older Persons
T2 - Findings from Colorado and Illinois
AU - Croker, James Alton
AU - Bobitt, Julie L.
AU - Arora, Kanika
AU - Kaskie, Brian
N1 - Funding Information:
This study was funded in part by the Retirement Research Fund (RRF) and the Colorado Department of Public Health and Environment (CDPHE). Neither RRF nor CDPHE had any role in the design, completion, or analysis, and neither was involved in the decision to submit the manuscript for publication.
PY - 2021
Y1 - 2021
N2 - Objectives: To assess health-related outcomes associated with medical cannabis use among older patients in Colorado and Illinois enrolled in their home state’s medical cannabis program. Methods: Cross-sectional data from anonymous surveys were collected from 139 persons over the age of 60 using medical cannabis in the past year. We used structural equation modeling (SEM) to confirm the hypothesized four-factor structure that includes health-related quality of life (HRQL), health-care utilization (HCU), symptom effects, and adverse events. We then examined associations between cannabis use and self-reported outcome changes using linear regression. Results: The four-factor model was the best fitting structure (X2(df) = 81.63 (67), p> X2 = 0.108) relative to reduced structures. We also found that using cannabis 1–4 times per week is associated with 3.30 additional points on the HRQL scale (p < .001), 2.72 additional points on the HCU scale (p < .01), and 1.13 points on pain (p < .001). The frequency of use reported at 5–7 times per week is associated with 4.71 additional HRQL score points (p < .001). No significant associations were observed between the frequency of use and adverse events. Conclusions: We observed how cannabis use outcomes fall into four independent factors, and those using more frequently reported higher values on HRQL, HCU, and pain measures. However, we are cautious about the generalizability of our findings. Clinical Implications: Clinicians should consider how older patients using medical cannabis can experience positive and negative outcomes simultaneously or separately and assess these outcomes directly along with considering patient self-reports.
AB - Objectives: To assess health-related outcomes associated with medical cannabis use among older patients in Colorado and Illinois enrolled in their home state’s medical cannabis program. Methods: Cross-sectional data from anonymous surveys were collected from 139 persons over the age of 60 using medical cannabis in the past year. We used structural equation modeling (SEM) to confirm the hypothesized four-factor structure that includes health-related quality of life (HRQL), health-care utilization (HCU), symptom effects, and adverse events. We then examined associations between cannabis use and self-reported outcome changes using linear regression. Results: The four-factor model was the best fitting structure (X2(df) = 81.63 (67), p> X2 = 0.108) relative to reduced structures. We also found that using cannabis 1–4 times per week is associated with 3.30 additional points on the HRQL scale (p < .001), 2.72 additional points on the HCU scale (p < .01), and 1.13 points on pain (p < .001). The frequency of use reported at 5–7 times per week is associated with 4.71 additional HRQL score points (p < .001). No significant associations were observed between the frequency of use and adverse events. Conclusions: We observed how cannabis use outcomes fall into four independent factors, and those using more frequently reported higher values on HRQL, HCU, and pain measures. However, we are cautious about the generalizability of our findings. Clinical Implications: Clinicians should consider how older patients using medical cannabis can experience positive and negative outcomes simultaneously or separately and assess these outcomes directly along with considering patient self-reports.
KW - Medical cannabis
KW - older persons
KW - proximal/distal
KW - self-reported outcomes
KW - structural equation models (SEM)
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U2 - 10.1080/07317115.2020.1797971
DO - 10.1080/07317115.2020.1797971
M3 - Article
C2 - 32842935
AN - SCOPUS:85089856486
VL - 44
SP - 66
EP - 79
JO - Clinical Gerontologist
JF - Clinical Gerontologist
SN - 0731-7115
IS - 1
ER -