Until now, there has been no standardized method of performing and presenting budget impact analyses (BIAs) in Canada. Nevertheless, most drug plan managers have been requiring this economic data to inform drug reimbursement decisions. This paper describes the process used to develop the Canadian BIA Guidelines; describes the Guidelines themselves, including the model template; and compares this guidance with other guidance on BIAs. The intended audience includes those who develop, submit or use BIA models, and drug plan managers who evaluate BIA submissions. The Patented Medicine Prices Review Board (PMPRB) initiated the development of the Canadian BIA Guidelines on behalf of the National Prescription Drug Utilisation Information System (NPDUIS). The findings and recommendations from a needs assessment with respect to BIA submissions were reviewed to inform guideline development. In addition, a literature review was performed to identify existing BIA guidance. The detailed guidance was developed on this basis, and with the input of the NPDUIS Advisory Committee, including drug plan managers from multiple provinces in Canada and a representative from the Canadian Agency for Drugs and Technologies in Health. A Microsoft Excel-based interactive model template was designed to support BIA model development. Input regarding the guidelines and model template was sought from each NPDUIS Advisory Committee member to ensure compatibility with existing drug plan needs. Decisions were made by consensus through multiple rounds of review and discussion. Finally, BIA guidance in Canadian provinces and other countries were compared on the basis of multiple criteria. The BIA guidelines consist of three major sections: Analytic Framework, Inputs and Data Sources, and Reporting Format. The Analytic Framework section contains a discussion of nine general issues surrounding BIAs (model design, analytic perspective, time horizon, target population, costing, scenarios to be compared, the characterisation of uncertainty, discounting, and validation methods). The Inputs and Data Sources section addresses methods for market size estimation, comparator selection, scenario forecasting and drug price estimation. The Reporting Format section describes methods for BIA reporting. The new Canadian BIA Guidelines represent a significant departure from the limited guidance that was previously available from some of the provinces, because they include specific details of the methods of performing BIAs. The Canadian BIA Guidelines differ from the Principles of Good Research Practice for BIAs developed by the International Society for Pharmacoeconomic and Outcomes Research (ISPOR), which provide more general guidance. The Canadian BIA Guidelines and template build upon existing guidance to address the specific requirements of each of the participating drug plans in Canada. Both have been endorsed by the NPDUIS Steering Committee and the PMPRB for the standardization of BIA submissions.

Case-control studies on effects of drugs in pregnancy rely heavily on maternal recall. At the Motherisk Program in Toronto we counsel women during early pregnancy on the risk of drug and chemical exposure; subsequently, we follow up the outcome of pregnancy after birth. This cohort has given us an opportunity to assess the magnitude of recall of early pregnancy exposure and determinants likely to affect it in 145 consecutive cases. The mean recall of exposure identity was 62%, while accurate recall of timing of exposure was 37% and of dosage 24%. Exposures that prompted the clinic visit, chronic therapeutic exposures, environmental agents, and known teratogens were recalled significantly better than were other exposures. Accurate report of smoking was significantly higher than of alcohol use (79.4% vs. 59%, respectively, P = .0002). The number of agents consumed by the pregnant woman negatively correlated with her recall; mean recall of 1 agent was 85% vs. only 40% recall of 4 agents. Women greater than or equal to 30 years of age recalled significantly worse (mean +/- SEM, 52 +/- 4%) than women younger than 30 (70 +/- 4%), P = .002) despite a similar mean number of exposures. No difference in mean recall was found between women having normal (n = 112) or adverse pregnancy outcome (n = 33). There was a recall bias in reporting alcohol consumption; postnatally, women with adverse outcome tended to report significantly less than the amount initially reported by them.

Background: To date there has been relatively little published about how research priorities are set, and even less about methods by which decision-makers can be engaged in defining a relevant and appropriate research agenda. We report on a recent effort in British Columbia to have researchers and decision-makers jointly establish an agenda for future research into questions of resource allocation.

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Half of the BC population <18 years received at least one prescription in 2007. Significant variations in drug dispensing were highlighted between BC, the US, and Europe. Future studies are needed to examine the outcomes of the prescribing in terms of benefit and harm. A variety of factors (e.g., disease prevalence rates, drug prescribing preferences) are likely to contribute to disparate dispensing of specific drug classes and should be principal factors in the investigation.

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Naturally occurring retirement communities (NORCs) are broadly defined as communities where individuals either remain or move when they retire. Using the determinants of health model as a base, we hypothesize that some environmental determinants have a different impact on people at different ages. Health benefits to living within NORCs have been observed and likely vary depending upon where the specific NORC exists on the NORC to healthy-NORC spectrum. Some NORC environments are healthier than others for seniors, because the NORC environment has characteristics associated with better health for seniors. Health benefits within healthy NORCs are higher where physical and social environments facilitate greater activity and promote feelings of well-being. Compared to the provision of additional medical or social services, healthy NORCs are a low-cost community-level approach to facilitating healthy aging. Municipal governments should pursue policies that stimulate and support the development of healthy NORCs.

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