Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review.

Background: Artificial intelligence (AI) predictive models in primary health care have the potential to enhance population health by rapidly and accurately identifying individuals who should receive care and health services. However, these models also carry the risk of perpetuating or amplifying existing biases toward diverse groups. We identified a gap in the current understanding of strategies used to assess and mitigate bias in primary health care algorithms related to individuals' personal or protected attributes.

People living with chronic pain in Canada face difficult decisions and decisional conflict concerning their care: data from the national DECIDE-PAIN survey.

Background: Shared decision-making is an imperative in chronic pain care. However, we know little about the decision-making process, especially in primary care where most chronic pain care is provided. We sought to understand decisional needs of people living with chronic pain in Canada.

How patient-reported outcomes and experience measures (PROMs and PREMs) are implemented in healthcare professional and patient organizations? An environmental scan.

Background: Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are becoming essential parts of a learning health system, and using these measures is a promising approach for value-based healthcare. However, evidence regarding healthcare professional and patient organizations' knowledge, use and perception of PROMs and PREMs is lacking.

Objectives: The objectives of the study were to: 1- Describe the current knowledge and use of PROMs and PREMs by healthcare professional and patient organizations, 2- Describe the determinants of PROMs and PREMs implementation according to healthcare professional and patient organizations.

Reflective Tool on Advanced Access to Support Primary Healthcare Teams: Development and Validation of an Online Questionnaire.

Rationale: Awareness of their standing relative to best practices motivates primary healthcare (PHC) teams to improve their practices. However, gathering the data necessary to create such a portrait is a challenge. An effective way to support the improvement of the practices of PHC teams is to simplify the availability of data portraying aspects of their practices that might need improvement.