PRP115: INTernational ConsoRtium of Primary Care BIg Data Researchers (INTRePID): pandemic impact on primary care around the world
Karen Tu MD, MSc, CCFP, FCFP; Jo-Anne Manski-Nankervis PhD, BSc, MBBS, FRACGP; Simon de Lusignan; Michelle Greiver MD, MSc, CCFP; Noah Crampton MD; Wilson Pace MD, FAAFP; Rachel Walsh MD, BSc, MSc, CCFP; Debra Butt MD, MSc; Catherine Ji MD; Zheng Jye Ling MBBS, MPH; Lay Hoon Goh MD, MBBS; Braden O'Neill MD, PhD; Ellen Stephenson PhD; Christine Hallinan PhD, MPH, BAppSc; Robert Sarkadi Kristiansson MD; Knut-Arne Wensaas MD, PhD; MD FRCGP MD, MBChB, MPH; Jae-Hyun Park MD, PhD; Kjetil Telle PhD
Context: COVID-19 is a respiratory disease caused by a coronavirus that was first recognized in Wuhan City, China in December 2019. On March 11, 2020 COVID-19 was declared a pandemic by the World Health Organisation (WHO). Government responses to the pandemic have varied by country, with respect to the speed, timing and extent to which public health interventions have been instituted. The unintended consequences on patients and delivery of primary care are anticipated to be varied as well. We have mobilized primary care researchers in 9 countries (Australia, Canada, China, Norway, Singapore, South Korea, Sweden, UK and US) all with access to and analytic expertise in primary care electronic medical record (EMR) data and/or administrative data to form the INTernational ConsoRtium of Primary Care BIg Data Researchers (INTRePID). Objectives: To assess the impact of the pandemic on access to care, health service use, provision of preventive services and the management of chronic diseases in primary care in 9 different countries around the world. Study Design/Setting: Secondary analysis of primary care EMR data or regional or national administrative data. Population studied: Potentially over 85 million patients worldwide. Intervention: COVID-19 pandemic. Outcome Measures: Number and type of primary care visits, delivery of preventative services and management of chronic diseases will be studied pre and post pandemic onset using interrupted time series regression analysis. In particular, the impact of initial COVID-19 closure and subsequent phased reopening of economies will be assessed using multiple discontinuities (change-points) in the segmented regression. Particular attention will be paid to differential access to care for vulnerable populations. Researchers will share analytic code to do analyses, perform analyses in their home countries and share aggregate level data for publication in joint manuscripts. Expected Outcomes: We anticipate that we will demonstrate that international comparison studies are possible with big data in primary care.
Bill Phillipswphllps@uw.edu 11/23/2020
Very ambitious - impressive. Big study plans for a big problem using big data. Also facing the big challenge of studying a critical rapidly changing medical problem and clinical risk during the worldwide COVID-19 pandemic. Interested in your next steps. (Hope to see them here at NAPCRG next year.)