Predictors of medicinal cannabis users' willingness to utilise a new prescription Medicinal Cannabis Scheme in New Zealand.

AIM: To investigate medicinal cannabis users' intentions to transition to the new prescription Medicinal Cannabis Scheme (MCS) in New Zealand. METHOD: An online survey of 3,634 past-year medicinal cannabis users completed prior to implementation of the MCS in New Zealand in April 2020. Logistic regression models were fitted to identify predictors of intended future engagement with the MCS. RESULTS: Seventy-eight percent of respondents were aware of the new MCS and 66% intended to use it. Higher income (OR=1.57), younger age (OR=1.02) and smoking cannabis (v. vaping (OR=2.0) or oral ingestion in edible form (OR=2.22)) predicted intention to engage with the MCS. Conversely, Maori (OR=0.63) and those who grew their own cannabis (OR=0.52) were less likely to intend to engage with the new prescription MCS. CONCLUSION: The lower intended engagement with the MCS by Maori, lower income groups and those who home-grow cannabis may reflect their perceptions of the MCS as restrictive and expensive.

Exploring medicinal use of cannabis in a time of policy change in New Zealand.

AIMS: To explore patterns of medicinal cannabis use prior to implementation of the new Medicinal Cannabis Scheme (MCS) in New Zealand. METHODS: An anonymous online convenience survey of 3,634 last-year medicinal users of cannabis promoted via Facebook™ from May to August 2019. RESULTS: Fifty percent of the sample were female, 18% were Maori and the median age was 38 years. The medical conditions for which cannabis was most often used were pain (81%), sleep (66%) and mental health conditions (64%). Respondents perceived cannabis to be an effective therapy and reported reducing use of other pharmaceutical medicines. Fifty-two percent reported side effects from cannabis use, including increased appetite (29%), drowsiness (12%), eye irritation (11%), dependency (10%), memory impairment (10%) and lack of energy (9%). Smoking was the dominant route of administration. Nearly half (47%) had discussed their use of cannabis with a medical professional in the previous year, while 14% had requested a prescription and 5% accessed a prescribed cannabis-based product (mostly oral CBD). CONCLUSION: Respondents self-medicated with cannabis to treat a wide range of health complaints. Only half discussed medicinal cannabis use with their medical professional, and a minority requested a prescription and used a prescribed cannabis-based product.

Efficiency, effectiveness, equity (E3). Evaluating hospital performance in three dimensions.

There are well-established frameworks for comparing the performance of health systems cross-nationally on multiple dimensions. A sub-set of such comprehensive schema is taken up by criteria specifically applied to health service delivery, including hospital performance. We focus on evaluating hospital performance, using the New Zealand public hospital sector over the period 2001-2009 as a pragmatic and illustrative case study for cross-national application. We apply a broad three-dimensional matrix--efficiency, effectiveness, equity--each based on two measures, and we undertake ranking comparisons of 35 hospitals. On the efficiency dimension--relative stay, day surgery--we find coefficients of variation of 10.8% and 8.5% respectively in the pooled data, and a slight trend towards a narrowing of inter-hospital variation over time. The correlation between these indicators is low (.20). For effectiveness--post-admission mortality, unplanned readmission--the coefficient of variation is generally higher (24.1% and 12.2%), and the trend is flat. The correlation is again low (.21). The equity dimension is assessed by quantifying the degree of ethnic and socio-economic variation for each hospital. The coefficient of variation is much higher--40.7-66.5% for ethnicity, 55.8-84.4% for socio-economic position--the trend over time is mixed, and the correlation is moderate (.41). On averaging the rank of hospitals across all measures it is evident that there is limited consistency across the three constituent dimensions. While it is possible to assess hospital performance across three dimensions using an illustrative set of standard measures derived from routine data, there appears to be little consistency in hospital rankings on these New Zealand data for the period 2001-2009. However, the methodology of using rankings derived from readily available data--possibly allied with multiple or composite indicator models--has potential for the cross-national comparison of hospital profiles, and assessments in three dimensions provide a more holistic and rounded account of performance.