ENCOMPASS: Expansion Study A, RCT

Community Health Navigators (CHNs) are defined as community health workers that provide patient navigation. Based on evidence to date, CHNs for chronic disease management are likely to beneficially impact patient experience, clinical outcomes and costs; however, contextual evidence is lacking given that most studies to date have been conducted in the United States. In Canada, patient navigation programs currently exist in only a few settings (primarily cancer treatment and transitional care), with few navigation programs implemented in chronic disease care.

The ENCOMPASS program of research was initiated in 2016, when researchers with the University of Calgary's Interdisciplinary Chronic Disease Collaboration partnered with Mosaic Primary Care Network (PCN) to develop, implement and evaluate a community health navigation program for patients with multiple chronic conditions. The program was based on a systematic literature review and refined in consultation with key stakeholders. A cluster-randomized controlled trial is currently ongoing with Mosaic PCN to determine the impact of the program on acute care use, patient-reported outcomes and experience, and disease-specific clinical outcomes (NCT03077386).

Alberta Primary Care Networks (PCNs) are comprised of groups of family physicians and other health care professionals working together to provide comprehensive patient care to Albertans. To understand if the community health navigation program can be feasibly scaled and spread to PCNs across Alberta, we are expanding research to examine and evaluate community health navigation program implementation to other geographic areas and populations. This study expands the ENCOMPASS program of research to Edmonton Oliver PCN, which represents over 170 physician members and serves approximately 131,000 patients. The current study employs the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) to examine the scalability of the community health navigation program.

The objectives of this study are to (1) assess the impact of the intervention on the target population and health system (effectiveness); (2) explore the feasibility and appropriateness of practical intervention scale-up (reach, adoption, implementation, and maintenance), and (3) identify the required resources and infrastructure necessary to maintain and scale the intervention provincially.

The effectiveness of the community health navigator program will be studied using a two-armed, pragmatic, randomized waitlist-controlled trial. This study will employ patient-level block randomization with research staff blinded to block size. Randomization will be concealed and computer-generated. Primary outcomes will be assessed using administrative health data. Secondary outcomes will be measured using a patient health survey administered by a research assistant at baseline, 6 months, and 12 months. A concurrent qualitative study will provide contextual information on the effectiveness of the community health navigator program from patient, provider, and CHN perspectives. Process evaluation metrics and interviews with program stakeholders will inform the feasibility and sustainability of the community health navigator program in Alberta PCNs.

Inclusion criteria

• Poorly controlled hypertension (most recent systolic blood pressure > 160 mmHg or labile);
• Poorly controlled diabetes (A1C > 9% on at least one occasion within the past year or labile);
• Stage 3b or greater chronic kidney disease (estimated glomerular filtration rate < 45 mL/min/1.73m2 in past year);
• Established ischemic heart disease (at least one instance of a physician billing diagnosis with a relevant International Classification of Diseases, 9th Edition [ICD-9] code recorded in electronic medical record (EMR), or known to health care team);
• Congestive heart failure (at least one instance of a physician billing diagnosis with a relevant ICD-9 code recorded in EMR, or known to health care team);
• Chronic obstructive pulmonary disease OR Asthma with at least two visits in the past year (at least 2 instances of a physician billing diagnosis with a relevant ICD-9 code, or known to health care team).

Exclusion criteria

• Patient unable to provide informed consent;
• Patient residing in long-term care facility;
• Health care provider discretion.