Author:
Thandi Manpreet,Wong Sabrina T.,Aponte-Hao Sylvia,Grandy Mathew,Mangin Dee,Singer Alexander,Williamson Tyler
Abstract
Abstract
Background
Practice based research and learning networks (PBRLNs) are groups of learning communities that focus on improving delivery and quality of care. Accurate data from primary care electronic medical records (EMRs) is crucial in forming the backbone for PBRLNs. The purpose of this work is to: (1) report on descriptive findings from recent frailty work, (2) describe strategies for working across PBRLNs in primary care, and (3) provide lessons learned for engaging PBRLNs.
Methods
We carried out a participatory based descriptive study that engaged five different PBRLNs. We collected Clinical Frailty Scale scores from a sample of participating physicians within each PBRLN. Descriptive statistics were used to analyze frailty scores and patients’ associated risk factors and demographics. We used the Consolidated Framework for Implementation Research to inform thematic analysis of qualitative data (meeting minutes, notes, and conversations with co-investigators of each network) in recognizing challenges of working across networks.
Results
One hundred nine physicians participated in collecting CFS scores across the five provinces (n = 5466). Percentages of frail (11-17%) and not frail (82-91%) patients were similar in all networks, except Ontario who had a higher percentage of frail patients (25%). The majority of frail patients were female (65%) and had a significantly higher prevalence of hypertension, dementia, and depression. Frail patients had more prescribed medications and numbers of healthcare encounters. There were several noteworthy challenges experienced throughout the research process related to differences across provinces in the areas of: numbers of stakeholders/staff involved and thus levels of burden, recruitment strategies, data collection strategies, enhancing engagement, and timelines.
Discussion
Lessons learned throughout this multi-jurisdictional work included: the need for continuity in ethics, regular team meetings, enhancing levels of engagement with stakeholders, the need for structural support and recognizing differences in data sharing across provinces.
Conclusion
The differences noted across CPCSSN networks in our frailty study highlight the challenges of multi-jurisdictional work across provinces and the need for consistent and collaborative healthcare planning efforts.
Publisher
Springer Science and Business Media LLC
Reference57 articles.
1. Deans KJ, Sabihi S, Forrest CB. Learning health systems. Semin Pediatr Surg. 2018;27(6):375–8. https://doi.org/10.1053/j.sempedsurg.2018.10.005 WB Saunders.
2. McGuire MJ. Building learning health care systems in primary care. Qual Manag Healthcare. 2019;28(4):252–3. https://doi.org/10.1097/QMH.0000000000000230.
3. Institute of Medicine (IOM). Digital infrastructure for the learning health system: the foundation for continuous improvement in health and health care. In: Grossman C, Powers B, JM MG, editors. The foundation for continuous improvement in health and health care workshop series summary. Washington, D.C: National Academies Press; 2011. p. 1–311. https://pubmed.ncbi.nlm.nih.gov/22379651/.
4. Budrionis A, Bellika JG. The learning healthcare system: where are we now? A systematic review. J Biomed Inform. 2016;64:87–92. https://doi.org/10.1016/j.jbi.2016.09.018.
5. Friedman CP, Allee NJ, Delaney BC, Flynn AJ, Silverstein JC, Sullivan K, et al. The science of learning health systems: foundations for a new journal. Learn Health Syst. 2017;1(1) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6516721/.
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