Scaling up! Staff e-learning for a national take-home naloxone program.

Background: A staff e-learning course was developed to prepare for scaling up a national take-home naloxone (THN) program in Norway. The aims of the study were to (a) describe participant characteristics for those that completed a THN e-learning course, (b) compare opioid overdose knowledge scores before and after e-learning course completion, and (c) to explore subsequent THN distribution by those trained. Methods: This was a quasi-experimental pre-test, post-test longitudinal cohort study of individuals completing a THN e-learning course from April 2021 to May 2022. Frequency analyses were performed for participant characteristics and subsequent naloxone distributions at 1-week and 1-month follow-up. The opioid overdose knowledge scale (OOKS) was used to measure pre-test-post-test knowledge among participants. Wilcoxon signed-rank test was performed for comparison between pre-test and post-test. Effect size was calculated using Cohen criteria. Results: In total, 371 individuals were included in this study. Most were either nurses or social workers (n = 277, 75%). Participant knowledge increased by medium or large effect for all items measured. At 1-month follow-up, 15% reported naloxone distribution. During the study period, 94 naloxone kits were distributed. Major reasons for not distributing were "clients not interested", "workplace not distributing" and "workplace in process of distributing". Conclusions: Our findings suggest that an e-learning course is equally effective in terms of knowledge transfer as an in-person classroom setting, and may provide engagement in terms of naloxone distribution. However, our findings also emphasize the importance of clear implementation routines, including support from central coordinators to optimize the implementation process.

Mortality risk and causes of death among people who use opioids in a take-home naloxone cohort.

BACKGROUND: People who use opioids (PWUO) have an excess mortality from a range of causes. The cumulative effect of behavioral, social, and health risk factors complicates the interpretation of the effects of suitable interventions. This study explores mortality causes among a cohort of PWUO in the take-home naloxone (THN) program. METHODS: This was a prospective cohort study of PWUO who received THN between 2015 and 2023. Participant data was linked with death registry data. Crude mortality rates and standardized mortality ratios (SMRs) were calculated for all causes, internal causes, and accidental opioid overdoses (AOOs). In addition to age and gender, risk factors like main route of administration, polydrug use, self-experienced overdoses, and using while alone were fitted in a Cox Regression model to explore factors associated with mortality. RESULTS: The 2194 participants had a considerably higher mortality ratio for all causes investigated when compared to the general population (SMR=10.9, 95 % CI = 9.3,12.6). AOOs were the most prevalent cause of death (49 %). Those who reported frequent opioid use while alone had an elevated risk of dying of 2.6 (95 % CI = 1.1,6.4) compared to those who never used while alone. CONCLUSIONS: Frequent opioid use while alone was associated with elevated mortality risk, supporting the importance of overdose prevention education with naloxone distribution, and additional efforts to improve environmental and social areas for safer drug-use practices among PWUO. The variety of mortality causes found in this study illustrates the need for multifaceted and targeted interventions for people at risk of overdosing.

Risks and overdose responses: Participant characteristics from the first seven years of a national take-home naloxone program.

BACKGROUND: In 2014, the Norwegian government funded a large-scale take-home naloxone (THN) program to address high overdose mortality rates. The aims of this study are to describe characteristics among persons trained to receive THN, describe actions taken following THN use at an overdose event and to explore factors associated with naloxone use. METHODS: This was a prospective cohort study of individuals who received THN from 2014 to 2021. Descriptive characteristics were collected at initial training. When returning for refill, participants reported on their previous naloxone use. In a multivariable logistic regression model exploring associations with naloxone use: gender, age, opioid use history, concomitant drug use, injecting, history of experienced or witnessed overdose were included. RESULTS: In total, 3527 individuals were included in this study. There were 958 individuals who returned for refills 2303 times. Most participants were male (63.6%), with a history of opioid use (77.5%). Those who reported naloxone use were more likely to have a history of opioid use (aOR= 4.1; 95% CI=2.77,6.1), were younger (aOR=0.98; 95% CI=0.97,0.99) and had witnessed overdoses (aOR=3.3; 95% CI=1.98,5.34). Among current opioid users, the odds were higher for injectors (aOR=1.57; 95% CI=1.18,2.1). Naloxone use was reported 1282 times. Additional actions such as waking the person and calling the ambulance were frequently reported. Survival was reported in almost all cases (94%). CONCLUSION: People who use drugs are a suitable target group for THN-programs, as they seem to be willing and capable to reverse overdoses effectively. Given their personal risk factors for overdosing, recipients will likely also benefit from overdose prevention education.

Staff preferences towards electronic data collection from a national take-home naloxone program: a cross-sectional study.

BACKGROUND: During the scaling-up of a national Norwegian take-home naloxone (THN) program, data collection methods shifted from paper-based to electronic. The aim of this study was to explore staff preferences towards the shift in data collection. METHODS: In January-February 2020, a survey was sent out via email to personnel involved with the THN program (n = 200). The survey included 17 questions, and covered staff demographics, experiences distributing THN, preferences towards data collection (both paper and electronically), and an open response section. Descriptive statistics were performed for the survey results. The open response section was recorded from each questionnaire and was coded into major themes by the authors. RESULTS: In total, 122 staff completed the survey. Of these, 62% had experience with both electronic and paper-based forms, and there was a near unanimous preference towards electronic data collection over paper-based forms. From the free-text responses, staff found the electronic form to be a useful tool for conversation and overdose prevention education, and that the electronic form was easier to manage than the paper forms. CONCLUSION: The shift towards electronic data collection was necessary for the feasibility of the Norwegian national THN program. This study found that staff not only tolerated the shift, but in most cases preferred this organizational change.