Browsing by Author "Montgomery, Lori"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- ItemOpen AccessAssociation between harm reduction strategies and healthcare utilization in patients on long-term prescribed opioid therapy presenting to acute healthcare settings: a protocol for a systematic review and meta-analysis(2019-04-05) Deschamps, Jean; Gilbertson, James; Straube, Sebastian; Dong, Kathryn; MacMaster, Frank P; Korownyk, Christina; Montgomery, Lori; Mahaffey, Ryan; Downar, James; Clarke, Hance; Muscedere, John; Rittenbach, Katherine; Featherstone, Robin; Sebastianski, Meghan; Vandermeer, Ben; Lynam, Deborah; Magnussen, Ryan; Bagshaw, Sean M; Rewa, Oleksa GAbstract Introduction Opioids are routinely used to treat a variety of chronic conditions associated with pain. However, they are a class of medications with a significant potential for adverse health effects, with and without misuse. Opioid misuse, as defined as inappropriate use of appropriately prescribed opioids, is becoming more well-recognized publicly but does not have clear treatment options. Opioid misuse has been linked to variety of poor outcomes and its consequences have a significant impact on healthcare resource utilization. The evidence on harm reduction strategies to mitigate adverse events prompting presentation to acute care settings for patients presenting with long-term opioid use is sparse. Methods and analysis We will perform a systematic review and meta-analysis to catalog effective harm reduction strategies and identify the most effective ones to reduce avoidable healthcare utilization in patients on long-term opioid therapy who present to acute health care settings with complications attributed to opioid misuse. A search strategy will be developed and executed by an information specialist; electronic databases (MEDLINE, EMBASE, CINAHL, Cochrane Library) and additional sources will be searched. Search themes will include opioids, chronic drug use, and acute healthcare settings. Citation screening, selection, quality assessment, and data abstraction will be performed in duplicate. A comprehensive inventory of harm reduction strategies will be developed. Data will be collected on patient-related outcomes associated with each identified harm reduction strategy. When sufficiently homogeneous data on interventions, population, and outcomes is available, it will be pooled for aggregate analysis. Evaluation of the methodological quality of individual studies and of the quality of the body of evidence will be performed. Our primary objective will be to identify harm reduction strategies that have been shown to result in clinically relevant and statistically significant improvements in patient outcomes and/or decreased healthcare utilization. Discussion This study will better characterize harm reduction strategies for patients on long-term prescribed opioids presenting to acute healthcare settings. It will also add new knowledge and generate greater understanding of key knowledge gaps of the long-term prescribed opioid use and its impact on healthcare utilization. Systematic review registration CRD42018088962 .
- ItemOpen AccessAssociation between supportive interventions and healthcare utilization and outcomes in patients on long-term prescribed opioid therapy presenting to acute healthcare settings: a systematic review and meta-analysis(2021-01-29) Deschamps, Jean; Gilbertson, James; Straube, Sebastian; Dong, Kathryn; MacMaster, Frank P; Korownyk, Christina; Montgomery, Lori; Mahaffey, Ryan; Downar, James; Clarke, Hance; Muscedere, John; Rittenbach, Katherine; Featherstone, Robin; Sebastianski, Meghan; Vandermeer, Ben; Lynam, Deborah; Magnussen, Ryan; Bagshaw, Sean M; Rewa, Oleksa GAbstract Background Long-term prescription of opioids by healthcare professionals has been linked to poor individual patient outcomes and high resource utilization. Supportive strategies in this population regarding acute healthcare settings may have substantial impact. Methods We performed a systematic review and meta-analysis of primary studies. The studies were included according to the following criteria: 1) age 18 and older; 2) long-term prescribed opioid therapy; 3) acute healthcare setting presentation from a complication of opioid therapy; 4) evaluating a supportive strategy; 5) comparing the effectiveness of different interventions; 6) addressing patient or healthcare related outcomes. We performed a qualitative analysis of supportive strategies identified. We pooled patient and system related outcome data for each supportive strategy. Results A total of 5664 studies were screened and 19 studies were included. A total of 9 broad categories of supportive strategies were identified. Meta-analysis was performed for the “supports for patients in pain” supportive strategy on two system-related outcomes using a ratio of means. The number of emergency department (ED) visits were significantly reduced for cohort studies (n = 6, 0.36, 95% CI [0.20–0.62], I2 = 87%) and randomized controlled trials (RCTs) (n = 3, 0.71, 95% CI [0.61–0.82], I2 = 0%). The number of opioid prescriptions at ED discharge was significantly reduced for RCTs (n = 3, 0.34, 95% CI [0.14–0.82], I2 = 78%). Conclusion For patients presenting to acute healthcare settings with complications related to long-term opioid therapy, the intervention with the most robust data is “supports for patients in pain”.
- ItemOpen AccessDocumenting cannabis use in primary care: a descriptive cross-sectional study using electronic medical record data in Alberta, Canada(2023-02-01) Soos, Boglarka; Garies, Stephanie; Cornect-Benoit, Ashley; Montgomery, Lori; Sharpe, Heather; Rittenbach, Katherine; Manca, Donna; Duerksen, Kimberley; Forst, Brian; Drummond, NeilAbstract Objective Documenting cannabis use is important for patient care, but no formal requirements for consistent reporting exist in primary care. The objective of this study was to understand how cannabis use is documented in primary care electronic medical record (EMR) data. Results This was a cross-sectional study using de-identified EMR data from over 398,000 patients and 333 primary care providers in Alberta, Canada. An automated pattern-matching algorithm was developed to identify text and ICD-9 diagnostic codes indicating cannabis use in the EMR. There was a total of 11,724 records indicating cannabis use from 4652 patients, representing approximately 1.2% of the patient sample. Commonly used terms and ICD-9 codes included cannabis, marijuana/marihuana, THC, 304.3 and 305.2. Nabilone was the most frequently prescribed cannabinoid medication. Slightly more males and those with a chronic condition had cannabis use recorded more often. Overall, very few patients have cannabis use recorded in primary care EMR data and this is not captured in a systematic way. We propose several strategies to improve the documentation of cannabis use to facilitate more effective clinical care, research, and surveillance.