Editorial

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.

The purpose of this review was to explore the literature for evidence of the impact of interprofessional practice models on health service inequity, particularly within community care settings for diverse ageing populations. An integrative systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework combined with the EndNote reference management system. Following the collection and comprehensive screening process completion, a thematic analysis of the included articles occurred utilising within NVivo 12 software. The review found that there was a paucity of evidence related to the relationship between interprofessional practice models (IPM) and health service equity for ageing populations. There is a need to improve collaborative practices between social care, public health care and health service providers to more clearly define team member roles. Key aspirations included the need for future innovations in health service delivery to place health service equity as a goal for interprofessional practice. There is a need to find ways to measure and articulate the impact for vulnerable populations and communities. The review offers insight into the need for health care delivery models to place health service equity at the centre of the model design. In practice settings, this includes setting interprofessional team goals around achieving equitable care outcomes for, and with, vulnerable populations. Implications for practice relate to improving how interprofessional teams work with communities to achieve health care equity. There is a consensus across the literature that there continues to be health service inequity, yet IPE and interprofessional collaborative practice (IPC) have been growing in momentum for some time. Despite many statements that there is a link between interprofessional practice and improved health service equity and health outcomes, evidence for this is yet to be fully realised. This review highlights the urgent need to review the link between education and practice, and innovative health models of care that enable heath care professionals and social care providers to work together towards achieving health equity for ageing populations. It is clear that more evidence is required to establish evidence for best practice in interprofessional care that has the mitigation of health care inequity as a central objective.

The purpose of this paper is to argue for an improved conceptualisation of health service research, using Stengers' (2018) metaphor of “slow science” as a critical yardstick. The paper is structured in three parts. It first reviews the field of health services research and the approaches that dominate it. It then considers the healthcare research approaches whose principles and methodologies are more aligned with “slow science” before presenting a description of a “slow science” project in which the authors are currently engaged. Current approaches to health service research struggle to offer adequate resources for resolving frontline complexity, principally because they set more store by knowledge generalisation, disciplinary continuity and integrity and the consolidation of expertise, than by engaging with frontline complexity on its terms, negotiating issues with frontline staff and patients on their terms and framing findings and solutions in ways that key in to the in situ dynamics and complexities that define health service delivery. There is a need to engage in a paradigm shift that engages health services as co-researchers, prioritising practical change and local involvement over knowledge production. Economics is a research field where the products are of natural appeal to powerful health service managers. A “slow science” approach adopted by the embedded Economist Program with its emphasis on pre-implementation, knowledge mobilisation and parallel site capacity development sets out how research can be flexibly produced to improve health services.