Phoenix Newsletter - October 2025 President’s Message: Enduring Commitments in a Time of Change Read President’s Message: Enduring Commitments in a Time of Change
Home Research Research Library Relationship between the perceived strength of countries’ primary care system and COVID-19 mortality: an international survey study Relationship between the perceived strength of countries’ primary care system and COVID-19 mortality: an international survey study 2020 Author(s) Goodyear-Smith, Felicity, Kinder, Karen, Mannie, Cristina, Strydom, Stefan, Bazemore, Andrew W, and Phillips, Robert L Topic(s) Achieving Health System Goals Volume BJGP Open Source BJGP Open BACKGROUND: Strong primary health care (PHC) is the cornerstone for universal health coverage and a country’s health emergency response. PHC includes public health and first-contact primary care (PC). Internationally, the spread of COVID-19 and mortality rates vary widely. The authors hypothesised that countries perceived to have strong PHC have lower COVID-19 mortality rates. AIM: To compare perceptions of PC experts on PC system strength, pandemic preparedness, and response with COVID-19 mortality rates in countries globally. DESIGN & SETTING: A convenience sample of international PHC experts (clinicians, researchers, and policymakers) completed an online survey (in English or Spanish) on country-level PC attributes and pandemic responses. METHOD: Analyses of perceived PC strength, pandemic plan use, border controls, movement restriction, and testing against COVID-19 mortality were undertaken for 38 countries with ≥5 responses. RESULTS: In total, 1035 responses were received from 111 countries, with 1 to 163 responders per country. The 38 countries with ≥5 responses were included in the analyses. All world regions and economic tiers were represented. No correlation was found between PC strength and mortality. Country-level mortality negatively correlated with perceived stringent border control, movement restriction, and testing regimes. CONCLUSION: Countries perceived by expert participants as having a prepared pandemic plan and a strong PC system did not necessarily experience lower COVID-19 mortality rates. What appears to make a difference to containment is if and when the plan is implemented, and how PHC is mobilised to respond. Many factors contribute to spread and outcomes. Important responses are first to limit COVID-19 entry across borders, then to mobilise PHC, integrating the public health and PC sectors to mitigate spread and reduce burden on hospitals through hygiene, physical distancing, testing, triaging, and contract-tracing measures. ABFM Research Read all 2017 Preserving Primary Care Robustness Despite Increasing Health System Integration Go to Preserving Primary Care Robustness Despite Increasing Health System Integration 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2025 Factors Associated with Documenting Social Determinants of Health in Electronic Health Records Go to Factors Associated with Documenting Social Determinants of Health in Electronic Health Records 2019 Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation Go to Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation
Author(s) Goodyear-Smith, Felicity, Kinder, Karen, Mannie, Cristina, Strydom, Stefan, Bazemore, Andrew W, and Phillips, Robert L Topic(s) Achieving Health System Goals Volume BJGP Open Source BJGP Open
ABFM Research Read all 2017 Preserving Primary Care Robustness Despite Increasing Health System Integration Go to Preserving Primary Care Robustness Despite Increasing Health System Integration 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2025 Factors Associated with Documenting Social Determinants of Health in Electronic Health Records Go to Factors Associated with Documenting Social Determinants of Health in Electronic Health Records 2019 Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation Go to Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation
2017 Preserving Primary Care Robustness Despite Increasing Health System Integration Go to Preserving Primary Care Robustness Despite Increasing Health System Integration
2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE)
2025 Factors Associated with Documenting Social Determinants of Health in Electronic Health Records Go to Factors Associated with Documenting Social Determinants of Health in Electronic Health Records
2019 Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation Go to Report from the FMAHealth Practice Core Team: Achieving the Quadruple Aim through Practice Transformation