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The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP) using patient responses to a survey conducted in Ontario, Canada.

The authors conducted a validation study using as a reference standard respondents to a community-based survey who indicated they did or did not have a PCP. The authors developed and tested health administrative algorithms against this reference standard. The authors calculated the sensitivity, specificity positive predictive value (PPV) and negative predictive value (NPV) on the final patient attachment algorithm. The authors then applied the attachment algorithm to the 2017 Ontario population.

The patient attachment algorithm had an excellent sensitivity (90.5%) and PPV (96.8%), though modest specificity (46.1%) and a low NPV (21.3%). This means that the algorithm assigned survey respondents as being attached to a PCP and when in fact they said they had a PCP, yet a significant proportion of those found to be uncertainly attached had indicated they did have a PCP. In 2017, most people in Ontario, Canada (85.4%) were attached to a PCP but 14.6% were uncertainly attached.

Administrative data for nurse practitioner's encounters and other interprofessional care providers are not currently available. The authors also cannot separately identify primary care visits conducted in walk in clinics using our health administrative data. Finally, the definition of hospital-based healthcare use did not include outpatient specialty care.

Uncertain attachment to a primary health care provider is a recurrent problem that results in inequitable access in health services delivery. Providing annual reports on uncertainly attached patients can help evaluate primary care system changes developed to improve access. This algorithm can be used by health care planners and policy makers to examine the geographic variability and time trends of the uncertainly attached population to inform the development of programs to improve primary care access.

As primary care is an essential component of a person's medical home, identifying regions or high need populations that have higher levels of uncertainly attached patients will help target programs to support their primary care access and needs. Furthermore, this approach will be useful in future research to determine the health impacts of uncertain attachment to primary care, especially in view of a growing body of the literature highlighting the importance of primary care continuity.

This patient attachment algorithm is the first to use existing health administrative data validated with responses from a patient survey. Using patient surveys alone to assess attachment levels is expensive and time consuming to complete. They can also be subject to poor response rates and recall bias. Utilizing existing health administrative data provides more accurate, timely estimates of patient attachment for everyone in the population.

For over 40 years, Canadian and international bodies have endorsed comprehensive primary health care (PHC), yet very little work has been done to describe how services and programs are delivered within these organizations. Because health equity is now of greater interest to policy makers and the public, it is important to describe an evidence-informed framework for the delivery of integrated and equitable PHC. The purpose of this paper is to describe the development of a “Model of Health and Well-being” (MHWB) that provides a roadmap to the delivery of PHC in a successful network of community-governed PHC organizations in Ontario, Canada.

The MHWB was developed through an iterative process that involved members of community-governed PHC organizations in Ontario and key stakeholders. This included literature review and consultation to ensure that the model was evidence informed and reflected actual practice.

The MHWB has three guiding principles: highest quality health and well-being for people and communities; health equity and social justice; and community vitality and belonging. In addition, there are eight attributes that describe how services are provided. There is a reasonable evidence base underpinning the all principles and attributes.

As comprehensive, equitable PHC organizations become increasingly recognized as critical parts of the health care system, it is important to have a means to describe their approach to care and the values that drive their care. The MHWB provides a blueprint for comprehensive PHC as delivered by over 100 Community Governed Primary Health Care (CGPHC) organizations in Ontario. All CGPHC organizations have endorsed, adopted and operationalized this model as a guide for optimum care delivery.