Decisions to adopt health technologies rely, in part, on judgements about cost effectiveness. Cost effectiveness is commonly assessed against a willingness-to-pay threshold for health gains. Building an evidence base on the marginal productivity of health spending to inform the value of the threshold is increasingly of interest for resource allocation decision-making and technology implementation. We report on an in-progress analysis to inform a threshold for policy purposes in British Columbia, Canada.

We developed a ten-year panel-data model with instrumental variables, which lessens the degree of time-invariant confounding and addresses biased causal inferences caused by unobserved factors, to provide estimates of the marginal cost per health unit measured using quality-adjusted life-years (QALYs). We use the Johns Hopkins Adjusted Clinical Group (ACG) system and a British Columbia Health System Matrix to classify patients into six resource use bands (RUBs) ranging from ‘healthy’ to ‘very high morbidity’. Patients are also classified by chronic conditions and types of services. Place of residence and geographical region of health authorities are considered. Variables included age, gender, mortality and comorbidity rates, costs of hospitalizations, emergency department and physician visits, residential and home care, laboratory services, diagnosis and medications, and quality of life. Instrumental variables included sociodemographic characteristics as reported in the Canadian census.

The largest RUB was ‘moderate’ morbidity (39.3%), while the smallest was ‘healthy’ (1.5%). The youngest was the ‘low’ morbidity (mean 31, standard deviation [SD] 21) and the oldest was ‘very high’ (mean 69, SD 17). The healthy group had the smallest mean costs (CND563, SD CND4,121; equivalent to USD421, SD USD3,083). In contrast, the ‘very high’ group had the largest (CND20,398, SD CND36,188; equivalent to USD15,258, SD USD27,069). Age and gender standardized comorbidity index scores ranged from 0.05 to 6.41 (median 0.98). Additional analyses (e.g., costs per QALY) are ongoing and the results will be reported at the conference.

Our empirical approach is robust and flexible, allowing estimates of marginal productivity according to factors such as disease, geographical region, service type, and care sector. This work has applications at the provincial and national levels and adds to methodological literature in the field.

To examine temporal trends and geographic variations and predict inpatient rehabilitation (IPR) length of stay (LOS) and home discharge for stroke patients.

Patients aged ≥18 years who were admitted to an IPR facility in Alberta, Canada, between 04/2014 and 03/2018 (years 2014–2017) were included. Predictors of LOS and home discharge were examined using 2014–2016 data and validated using 2017 data. Multivariable linear regression (MLR), multivariable negative binomial (MNB), and multivariable quantile regressions (MQR) were used to examine LOS, and logistic regression was used for home discharge.

We included 2686 rehabilitation admissions between 2014 and 2017. The mean LOS decreased (2014: 71 days; 2017: 62.1 days; p = 0.003) during the study period and was shortest in Edmonton (59.1 days) compared to Calgary (66 days) or other localities (70.8 days; p < 0.001). Three-quarters of patients were discharged home and this proportion remained unchanged between 2014 and 2017. Calgary patients were more likely to be discharged home than those in Edmonton (OR = 0.62; p = 0.019) or other localities (OR = 0.39; p = 0.011). The MLR and MNB models provided accurate prediction for the mean LOS (predicted = 59.9 and 60.8 days, respectively, vs. actual = 62.1 days; both p > 0.5), while the MQR model did so for the median LOS (predicted = 44.3 days vs. actual = 44 days; p = 0.09). The logistic regression resulted in 82.4% of correct prediction, a sensitivity of 91.6%, and a specificity of 50.7% for home discharge.

Rehabilitation LOS decreased while the proportion of home discharge remained unchanged during the study period. Both varied across health zones. Identifiable statistical models provided accurate prediction with a separate patient cohort.

Due to an aging population, shortage of healthcare staff, and escalating healthcare costs, there has been a recent shift in the professional roles and responsibilities in acute care settings to help bridge the care gap. Paramedics, whose primary responsibilities have been in emergency/transportation services, are increasingly involved in the management of chronic diseases in the community setting. However, even with additional training, there are concerns about the safety and effectiveness of this expanded role. The objective of this presentation is to highlight some of the key findings from a health technology assessment report on the safety and effectiveness of community paramedicine in assessing and managing conditions/diseases with low acuity.

A systematic review was conducted to identify studies that evaluated the safety and effectiveness of different community paramedicine programs.

Four systematic reviews and 20 primary studies (one randomized controlled trial (RCT) and 19 observational studies) were identified. Of these, two systematic reviews and 14 primary studies focused on the safety and effectiveness of Emergency Care Practitioner (ECP) programs ̶ widely implemented programs whereby a paramedic or nurse undertakes activities traditionally performed by physicians, such as the initial assessment of patients, provision of simple treatment, or referral of patients to other clinical care. Limited evidence showed that ECP programs are promising in reducing repeated emergency calls, emergency department visits, hospital admissions/readmissions, and emergency transport charges. While the majority of included studies did not report any safety outcomes, no significant safety issues were identified from the cluster RCT. Evidence for other types of community paramedicine is limited.

Evaluation of the impact of community paramedicine programs remains methodologically challenging. Additional cluster RCTs may help determine the effectiveness of community paramedicine programs; safety outcomes should be a key element of future observational studies.

The objectives of this study were to systematically review published research on the relationship between nursing staff coverage, care hours, and quality of care (QoC) in long-term care (LTC) facilities; and to conduct a real world evidence (RWE) analysis using Alberta real world data (RWD) to inform policy makers on whether any amendments could be made to current regulations.

A systematic review (SR) of research evidence published between January 2000 and May 2018 on the relationship between nursing staff coverage, care hours, and QoC in LTC facilities was conducted. Panel data regressions using available RWD from Alberta, Canada, were performed to assess associations between nursing care hours and LTC outcomes. Outcomes of interest included quality indicators related to resident outcomes, hospital admissions, emergency room visits and family satisfaction. Nursing care hours considered in SR and RWE analysis included those provided by registered nurses (RNs) and licensed practical nurses (LPNs).

The SR found inconsistent and poor quality evidence relevant to the questions of interest, indicating a great uncertainty about the association between nursing staff time and type of coverage and QoC. Although some positive indications were suggested, major weaknesses of reviewed studies limited interpretation of SR results. RWE analysis found that impact of care hours on LTC outcomes was heterogeneous, dependent on outcome measurements. There was evidence that total staff, RN, and LPN hours had positive effects on some resident outcomes and magnitude of effect differed for different nursing staff.

No definitive conclusion could be drawn on whether changing nursing staff time or nursing staff coverage models would affect residents’ outcomes based on the research evidence gathered in the SR. RWE analysis helped to fill a gap in the available published literature and allowed policy makers to better understand the impact of revising current regulations based on actual outcomes.

Population growth, epidemiological and demographic transition, and a shortage of healthcare workers are affecting health care systems in Australia, Canada, the United Kingdom (UK), and the United States (US). Community paramedicine (CP) programs provide a bridge between primary care and emergency care to address the needs of patients with low acuity but lack of access to primary care. However, how to capture the key characteristics of these programs and present them in a meaningful way is still a challenge. The objective of this presentation is to identify and describe the characteristics of currently existing CP programs in the four countries to inform policy-making on CP program development in Alberta.

Information was obtained from systematic reviews, health technology assessments, general reviews, and government documents identified through a comprehensive literature search. The characteristics of the CP programs are described using a framework originally developed in Australia with three categories: (i) the primary health care model, (ii) the health integration model (in Australia, called the substitution model), and (iii) the community coordination model.

In general, Australia emphasizes rural/remote paramedics, whereas Canada, the UK, and the US implement expanded paramedic practice within different environments including rural, remote, regional, and metropolitan settings. Extended care provider programs have been intensively investigated and widely implemented in the UK. While the identified CP programs vary in terms of program components, designation of providers, skill mix, target population, and funding model, the majority of these CP programs fall under the primary health care category of the Australian framework.

Transitioning from hospital-based to community-based health care requires careful consideration of all key factors that could contribute to future program success. Delineating key components of CP programs using the Australian framework will help Alberta decision-makers design, develop, and implement appropriate CP programs that adequately address local needs.

The cost-effectiveness of endovascular therapy (EVT) compared to tissue plasminogen activator (tPA) alone for acute ischemic stroke (AIS) has been established in the literature. However, decision-makers still face challenges of how to best deliver EVT in a timely manner to maximize patient outcomes while minimizing the burden to the healthcare system, given that AIS has time-dependent treatment outcomes. The objective of this presentation is to report an optimization approach for improving health system value and outcomes for patients with AIS who are eligible for EVT in Alberta.

An economic model was developed to compare combinations of “mothership” (transport directly to a comprehensive stroke center [CSC] to receive tPA and EVT) and “drip-and-ship” (transport to a primary stroke centre to receive tPA, followed by transport to a CSC to receive EVT) methods across Alberta. The model considered geographical variation and searched for the best delivery methods through a pairwise comparison of all possible strategies. The controlled variables including in the model were population densities, disease epidemiology, time/distance to hospitals, available medical services, treatment eligibility and efficacy, and costs. Patient outcomes were measured by functional independence. The model defined optimal strategies by identifying the transport methods that produced the highest probability of improved health outcomes at the lowest cost.

The analysis produced an optimization map showing optimal strategies for EVT delivery. The lifetime cost (standard deviation [SD]) per patient and likelihood (SD) of good outcomes was CAD 291,769 (CAD 11,576) [USD 226,207 (USD 8,975)] and 41.82 percent (0.013) when considering optimal clinical outcomes, and CAD 287,725 (CAD 4,141) [USD 223,097 (USD 3,211)] and 41.67 percent (0.016) when considering optimal economic efficiency.

Our model reduces the gap that exists between health technology implementation and cost-effectiveness analysis; namely, neither fully addresses relative efficiency driven by geographical variation, which may misrepresent system value in local settings. Implementation strategies generated in our model capture full values in terms of patient outcomes and costs.

The Dietary Guidelines for Americans (DGA) promote healthy dietary choices for all Americans aged 2 years and older; however, the majority of Americans do not meet recommendations. The goal of the present study was to identify both barriers and facilitators to adherence to DGA recommendations for consumption of five recommended food groups: grains (specifically whole grains), vegetables, fruits, meat/beans and milk (specifically reduced-fat/non-fat), among American-Indian children.

Nominal group technique sessions were conducted to identify and prioritize children’s perceived barriers and facilitators to following the DGA, as presented in the ‘MyPyramid’ consumer education icon. After response generation to a single question about each food group (e.g. ‘What sorts of things make it harder (or easier) for kids to follow the MyPyramid recommendation for vegetables?’), children individually ranked their top five most salient responses. Ranked responses are presented verbatim.

A rural Northern Plains American-Indian reservation, USA.

Sixty-one self-selected fifth-grade children.

Core barriers for all food groups studied included personal preference (i.e. ‘don’t like’) and environmental (i.e. ‘cost too much’; ‘store is too far to get them’; ‘grandma don’t have’). Core facilitators included suggestions, i.e. ‘make a garden and plant vegetables’; ‘tell your friends to eat healthy’.

Barriers and facilitators are dissimilar for individual food groups, suggesting that dietary interventions should target reduction of barriers and promotion of facilitators specific to individual food groups recommended by the DGA.