The Vancouver Community Analytics Tool (VCAT): Software Enabling Operationalization of the Building Blocks of High-Performing Primary Care at Community Health Centers in British Columbia, Canada.

Background: Community health centers (CHCs) in British Columbia, Canada, are using a data-driven approach to enable functions related to the design, organization, management, delivery, and evaluation of primary health care services for complex populations.

Methods: Descriptive study leveraging case studies from 4 CHCs in Vancouver, Canada, to provide an overview and examples of the functions and outputs of the Vancouver Community Analytics Tool (VCAT). Quantitative data were derived from electronic medical record data and regional emergency department data.

Psychometric Properties of the Problem-Oriented Patient Experience-Primary Care (POPE-PC) Survey.

Introduction: Measuring the experiences of patients regarding delivery and receipt of person-oriented primary care is of increasing policy and research interest and is a core component of the Institute for Healthcare Improvement's Quadruple Aim.

Objective: To describe the Problem-Oriented Patient Experience-Primary Care (POPE-PC) survey, a novel instrument designed to measure patients' experiences of primary care, and to assess the instrument's psychometric properties.

Methods: Psychometric testing was performed using data from a Canadian urgent primary care center, derived from March 2019 to September 2019.

A problem-oriented systems approach to primary care system development: development and initial testing of the problem-oriented primary care system development record.

Background: There is significant global policy interest related to enabling a data-driven approach for evidence-based primary care system development. This paper describes the development and initial testing of a prototype tool (the Problem-Oriented Primary Care System Development Record, or PCSDR) that enables a data-driven and contextualized approach to primary care system development.

Methods: The PCSDR is an electronic record that enables the systematic input, classification, structuring, storage, processing and analysis of different types of data related to the structure, function and performance of primary care systems over time.

A Novel Instrument for Integrated Measurement and Assessment of Intrinsic Motivation, Team Climate, and Burnout in Multidisciplinary Teams.

Introduction: There is increasing recognition of the importance of intrinsic motivation, team dynamics, and burnout in multidisciplinary teams striving to achieve the Quadruple Aim.

Objective: To assess self-rated team climate, intrinsic motivation, and burnout of a multidisciplinary team at an urgent primary care center and to explore potential relationships between the concepts.

Methods: A scoping review of the English-language literature was conducted to identify any validated team climate, intrinsic motivation, and burnout measurement tools.

A Multi-sourced Data Analytics Approach to Measuring and Assessing Biopsychosocial Complexity: The Vancouver Community Analytics Tool Complexity Module (VCAT-CM).

Operationalization of the fundamental building blocks of primary care (i.e. empanelment, team-based care and population management) within the context of Community Health Centers requires accurate and real-time measures of biopsychosocial complexity, at both client and population-levels.

Developing Community-Based Primary Health Care for Complex and Vulnerable Populations in the Vancouver Coastal Health Region: HealthConnection Clinic.

Introduction: Designing, delivering, and evaluating high-performing primary health care services for complex and vulnerable subpopulations are challenging endeavors. However, there is a relative paucity of research evidence available to support such work.

Objective: To provide a case study using HealthConnection Clinic, a public primary care center located in Metropolitan Vancouver's North Shore.

An Alternative Paradigm for Evidence-Based Medicine: Revisiting Lawrence Weed, MD's Systems Approach.

Lawrence Weed, MD, is renowned for being the father of the Problem-Oriented Medical Record (POMR), the medical care standard for collecting, managing, and contextualizing patient data in medical records. What have been consistently overlooked are his teachings on knowledge coupling, which refers to matching patient data with associated medical knowledge. Together, the POMR standard and knowledge coupling are meant to form the basis of a systems approach that enables individualized evidence-based decision making within the context of multimorbidity and patient complexity.