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Published in: BMC Primary Care 1/2021

Open Access 01-12-2021 | Care | Research article

Implementation of targeted screening for poverty in a large primary care team in Toronto, Canada: a feasibility study

Authors: Kimberly Wintemute, Meh Noor, Aashka Bhatt, Gary Bloch, Suja Arackal, Sumeet Kalia, Babak Aliarzadeh, Sabrina La Tona, Joyce Lo, Andrew D. Pinto, Michelle Greiver

Published in: BMC Primary Care | Issue 1/2021

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Abstract

Background

Poverty has a significant influence on health. Efforts to optimize income and reduce poverty could make a difference to the lives of patients and their families. Routine screening for poverty in primary care is an important first step but rarely occurs in Canada. We aimed to implement a targeted screening and referral process in a large, distributed primary care team in Toronto, Ontario, Canada. The main outcome was the proportion of targeted patients screened.

Methods

This implementation evaluation was conducted with a large community-based primary care team in north Toronto. The primary care team serves relatively wealthy neighborhoods with pockets of poverty. Physicians were invited to participate. We implemented targeted screening by combining census information on neighborhood-level deprivation with postal codes in patient records. For physicians agreeing to participate, we added prompts to screen for poverty to the charts of adult patients living in the most deprived areas. Standardized electronic medical record templates recommended a referral to a team case worker for income optimization, for those patients screening positive. We recorded the number and percentages of participants at each stage, from screening to receiving advice on income optimization.

Results

128 targeted patients with at least one visit (25%) were screened. The primary care team included 86 physicians distributed across 19 clinical locations. Thirty-four physicians (39%) participated. Their practices provided care for 27,290 patients aged 18 or older; 852 patients (3%) were found to be living in the most deprived neighborhoods. 509 (60%) had at least one office visit over the 6 months of follow up. 25 patients (20%) screened positive for poverty, and 13 (52%) were referred. Eight patients (62% of those referred) were ultimately seen by a caseworker for income optimization.

Conclusions

We implemented a targeted poverty screening program combined with resources to optimize income for patients in a large, distributed community-based primary care team. Screening was feasible; however, only a small number of patients were linked to the intervention Further efforts to scale and spread screening and mitigation of poverty are warranted; these should include broadening the targeted population beyond those living in the most deprived areas.
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Literature
1.
go back to reference Marmot M. Social determinants of health inequalities. Lancet. 2005;365(9464):1099–104.CrossRef Marmot M. Social determinants of health inequalities. Lancet. 2005;365(9464):1099–104.CrossRef
2.
go back to reference Brcic V, Eberdt C, Kaczorowski J. Corrigendum to "Development of a Tool to Identify Poverty in a Family Practice Setting: A Pilot Study". Int J Fam Med. 2015;2015:418125. Brcic V, Eberdt C, Kaczorowski J. Corrigendum to "Development of a Tool to Identify Poverty in a Family Practice Setting: A Pilot Study". Int J Fam Med. 2015;2015:418125.
3.
go back to reference Rosella LC, Fitzpatrick T, Wodchis WP, Calzavara A, Manson H, Goel V. High-cost health care users in Ontario, Canada: demographic, socio-economic, and health status characteristics. BMC Health Serv Res. 2014;14:532.CrossRef Rosella LC, Fitzpatrick T, Wodchis WP, Calzavara A, Manson H, Goel V. High-cost health care users in Ontario, Canada: demographic, socio-economic, and health status characteristics. BMC Health Serv Res. 2014;14:532.CrossRef
4.
go back to reference Fitzpatrick T, Rosella LC, Calzavara A, Petch J, Pinto AD, Manson H, et al. Looking Beyond Income and Education: Socioeconomic Status Gradients Among Future High-Cost Users of Health Care. Am J Prev Med. 2015;49(2):161–71.CrossRef Fitzpatrick T, Rosella LC, Calzavara A, Petch J, Pinto AD, Manson H, et al. Looking Beyond Income and Education: Socioeconomic Status Gradients Among Future High-Cost Users of Health Care. Am J Prev Med. 2015;49(2):161–71.CrossRef
5.
go back to reference Wilkinson RG, Pickett KE. Income inequality and population health: a review and explanation of the evidence. Soc Sci Med. 2006;62(7):1768–84.CrossRef Wilkinson RG, Pickett KE. Income inequality and population health: a review and explanation of the evidence. Soc Sci Med. 2006;62(7):1768–84.CrossRef
6.
go back to reference Abedi V, Olulana O, Avula V, Chaudhary D, Khan A, Shahjouei S, et al. Racial, Economic, and Health Inequality and COVID-19 Infection in the United States. J Racial Ethnic Health Disparities. 2020;8(3):732–42.CrossRef Abedi V, Olulana O, Avula V, Chaudhary D, Khan A, Shahjouei S, et al. Racial, Economic, and Health Inequality and COVID-19 Infection in the United States. J Racial Ethnic Health Disparities. 2020;8(3):732–42.CrossRef
7.
go back to reference Price-Haywood EG, Burton J, Fort D, Seoane L. Hospitalization and Mortality among Black Patients and White Patients with Covid-19. N Engl J Med. 2020;382(26):2534–43.CrossRef Price-Haywood EG, Burton J, Fort D, Seoane L. Hospitalization and Mortality among Black Patients and White Patients with Covid-19. N Engl J Med. 2020;382(26):2534–43.CrossRef
8.
go back to reference Figueroa JF, Wadhera RK, Mehtsun WT, Riley K, Phelan J, Jha AK. Association of race, ethnicity, and community-level factors with COVID-19 cases and deaths across U.S. counties. Healthcare. 2021;9(1):100495. Figueroa JF, Wadhera RK, Mehtsun WT, Riley K, Phelan J, Jha AK. Association of race, ethnicity, and community-level factors with COVID-19 cases and deaths across U.S. counties. Healthcare. 2021;9(1):100495.
9.
go back to reference de Lusignan S, Lopez Bernal J, Zambon M, Akinyemi O, Amirthalingam G, Andrews N, et al. Emergence of a Novel Coronavirus (COVID-19): A protocol for Extending Surveillance Used by the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) and Public Health England (PHE). JMIR 2020;6(2):e18606 de Lusignan S, Lopez Bernal J, Zambon M, Akinyemi O, Amirthalingam G, Andrews N, et al. Emergence of a Novel Coronavirus (COVID-19): A protocol for Extending Surveillance Used by the Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) and Public Health England (PHE). JMIR 2020;6(2):e18606
13.
go back to reference Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q. 2005;83(3):457–502.CrossRef Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. Milbank Q. 2005;83(3):457–502.CrossRef
14.
go back to reference Pinto AD, Bondy M, Rucchetto A, Ihnat J, Kaufman A. Screening for poverty and intervening in a primary care setting: an acceptability and feasibility study. Fam Pract. 2019;36(5):634–8.CrossRef Pinto AD, Bondy M, Rucchetto A, Ihnat J, Kaufman A. Screening for poverty and intervening in a primary care setting: an acceptability and feasibility study. Fam Pract. 2019;36(5):634–8.CrossRef
15.
go back to reference Kiran T, Pinto AD. Swimming 'upstream' to tackle the social determinants of health. BMJ Qual Saf. 2016;25(3):138–40.CrossRef Kiran T, Pinto AD. Swimming 'upstream' to tackle the social determinants of health. BMJ Qual Saf. 2016;25(3):138–40.CrossRef
16.
go back to reference Pinto AD, Bloch G. Framework for building primary care capacity to address the social determinants of health. Can Fam Physician. 2017;63(11):e476. Pinto AD, Bloch G. Framework for building primary care capacity to address the social determinants of health. Can Fam Physician. 2017;63(11):e476.
17.
go back to reference Buchman S. Screening for poverty in family practice. Canadian family physician Medecin de famille canadien. 2012;58(6):709–10.PubMedPubMedCentral Buchman S. Screening for poverty in family practice. Canadian family physician Medecin de famille canadien. 2012;58(6):709–10.PubMedPubMedCentral
21.
go back to reference Greiver M, Aliarzadeh B, Meaney C, Moineddin R, Southgate CA, Barber DTS, et al. Are We Asking Patients if They Smoke? Missing Information on Tobacco Use in Canadian Electronic Medical Records. Am J Prev Med. 2015;49(2):264–8.CrossRef Greiver M, Aliarzadeh B, Meaney C, Moineddin R, Southgate CA, Barber DTS, et al. Are We Asking Patients if They Smoke? Missing Information on Tobacco Use in Canadian Electronic Medical Records. Am J Prev Med. 2015;49(2):264–8.CrossRef
22.
go back to reference Pinto AD, Glattstein-Young G, Mohamed A, Bloch G, Leung F-H, Glazier RH. Building a Foundation to Reduce Health Inequities: Routine Collection of Sociodemographic Data in Primary Care. J Am Board Fam Med. 2016;29(3):348.CrossRef Pinto AD, Glattstein-Young G, Mohamed A, Bloch G, Leung F-H, Glazier RH. Building a Foundation to Reduce Health Inequities: Routine Collection of Sociodemographic Data in Primary Care. J Am Board Fam Med. 2016;29(3):348.CrossRef
24.
go back to reference Tu K, Sodhi S, Kidd M, Grunfeld E, Ji C, Greiver M, et al. The University of Toronto Family Medicine Report: Caring for our Diverse Populations. Toronto, Ontario: Department of Family and Community Medicine, University of Toronto; 2020. Tu K, Sodhi S, Kidd M, Grunfeld E, Ji C, Greiver M, et al. The University of Toronto Family Medicine Report: Caring for our Diverse Populations. Toronto, Ontario: Department of Family and Community Medicine, University of Toronto; 2020.
25.
go back to reference Purkey E, Bayoumi I, Coo H, Maier A, Pinto AD, Olomola B, et al. Exploratory study of "real world" implementation of a clinical poverty tool in diverse family medicine and pediatric care settings. Int J Equity Health. 2019;18(1):200-. Purkey E, Bayoumi I, Coo H, Maier A, Pinto AD, Olomola B, et al. Exploratory study of "real world" implementation of a clinical poverty tool in diverse family medicine and pediatric care settings. Int J Equity Health. 2019;18(1):200-.
26.
go back to reference Bloch G, Rozmovits L, Giambrone B. Barriers to primary care responsiveness to poverty as a risk factor for health. BMC Fam Pract. 2011;12:62.CrossRef Bloch G, Rozmovits L, Giambrone B. Barriers to primary care responsiveness to poverty as a risk factor for health. BMC Fam Pract. 2011;12:62.CrossRef
27.
go back to reference Levesque JF, Haggerty JL, Hogg W, Burge F, Wong ST, Katz A, et al. Barriers and Facilitators for Primary Care Reform in Canada: Results from a Deliberative Synthesis across Five Provinces. Healthc Policy. 2015;11(2):44–57.PubMedPubMedCentral Levesque JF, Haggerty JL, Hogg W, Burge F, Wong ST, Katz A, et al. Barriers and Facilitators for Primary Care Reform in Canada: Results from a Deliberative Synthesis across Five Provinces. Healthc Policy. 2015;11(2):44–57.PubMedPubMedCentral
28.
go back to reference Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention? Am J Public Health. 2003;93(4):635–41.CrossRef Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention? Am J Public Health. 2003;93(4):635–41.CrossRef
29.
go back to reference Rogers E. Diffusion of Innovations. 4th Edition ed. New York: The Free Press; 1995. Rogers E. Diffusion of Innovations. 4th Edition ed. New York: The Free Press; 1995.
30.
go back to reference Tomlin Z, Humphrey C, Rogers S. General practitioners’ perceptions of effective health care. BMJ. 1999;318(7197):1532–5.CrossRef Tomlin Z, Humphrey C, Rogers S. General practitioners’ perceptions of effective health care. BMJ. 1999;318(7197):1532–5.CrossRef
31.
go back to reference Kirk MA, Kelley C, Yankey N, Birken SA, Abadie B, Damschroder L. A systematic review of the use of the Consolidated Framework for Implementation Research. Implement Sci. 2016;11:72.CrossRef Kirk MA, Kelley C, Yankey N, Birken SA, Abadie B, Damschroder L. A systematic review of the use of the Consolidated Framework for Implementation Research. Implement Sci. 2016;11:72.CrossRef
32.
go back to reference Greiver M, Barnsley J, Glazier RH, Moineddin R, Harvey BJ. Implementation of electronic medical records: effect on the provision of preventive services in a pay-for-performance environment. Can Fam Physician. 2011;57(10):e381–9.PubMedPubMedCentral Greiver M, Barnsley J, Glazier RH, Moineddin R, Harvey BJ. Implementation of electronic medical records: effect on the provision of preventive services in a pay-for-performance environment. Can Fam Physician. 2011;57(10):e381–9.PubMedPubMedCentral
33.
go back to reference Greiver M, Barnsley J, Glazier RH, Moineddin R, Harvey BJ. Implementation of electronic medical records: theory-informed qualitative study. Can Fam Physician. 2011;57(10):e390–7.PubMedPubMedCentral Greiver M, Barnsley J, Glazier RH, Moineddin R, Harvey BJ. Implementation of electronic medical records: theory-informed qualitative study. Can Fam Physician. 2011;57(10):e390–7.PubMedPubMedCentral
34.
go back to reference Greiver M, Wintemute K, Griffis S, Moeinedin M. Using evidence for the care of practice team populations. Can Fam Physician. 2014;60(3):223.PubMedPubMedCentral Greiver M, Wintemute K, Griffis S, Moeinedin M. Using evidence for the care of practice team populations. Can Fam Physician. 2014;60(3):223.PubMedPubMedCentral
35.
go back to reference Sekhar DL, Pattison KL, Confair A, Molinari A, Schaefer EW, Waxmonsky JG, et al. Effectiveness of Universal School-Based Screening vs Targeted Screening for Major Depressive Disorder Among Adolescents: A Trial Protocol for the Screening in High Schools to Identify, Evaluate, and Lower Depression (SHIELD) Randomized Clinical Trial. JAMA Network Open. 2019;2(11):e1914427-e. Sekhar DL, Pattison KL, Confair A, Molinari A, Schaefer EW, Waxmonsky JG, et al. Effectiveness of Universal School-Based Screening vs Targeted Screening for Major Depressive Disorder Among Adolescents: A Trial Protocol for the Screening in High Schools to Identify, Evaluate, and Lower Depression (SHIELD) Randomized Clinical Trial. JAMA Network Open. 2019;2(11):e1914427-e.
36.
go back to reference Pinnock H, Barwick M, Carpenter CR, Eldridge S, Grandes G, Griffiths CJ, et al. Standards for Reporting Implementation Studies (StaRI): explanation and elaboration document. BMJ Open. 2017;7(4):e013318. Pinnock H, Barwick M, Carpenter CR, Eldridge S, Grandes G, Griffiths CJ, et al. Standards for Reporting Implementation Studies (StaRI): explanation and elaboration document. BMJ Open. 2017;7(4):e013318.
37.
go back to reference Dzewaltowski DA, Glasgow RE, Klesges LM, Estabrooks PA, Brock E. RE-AIM: Evidence-based standards and a web resource to improve translation of research into practice. Ann Behav Med. 2004;28(2):75–80.CrossRef Dzewaltowski DA, Glasgow RE, Klesges LM, Estabrooks PA, Brock E. RE-AIM: Evidence-based standards and a web resource to improve translation of research into practice. Ann Behav Med. 2004;28(2):75–80.CrossRef
41.
go back to reference Pampalon R, Hamel D, Gamache P, Raymond G. A deprivation index for health planning in Canada. Chronic Dis Can. 2009;29(4):178–91.CrossRef Pampalon R, Hamel D, Gamache P, Raymond G. A deprivation index for health planning in Canada. Chronic Dis Can. 2009;29(4):178–91.CrossRef
42.
go back to reference Wilkins R. Use of postal codes and addresses in the analysis of health data. Health Rep. 1993;5(2):157–77.PubMed Wilkins R. Use of postal codes and addresses in the analysis of health data. Health Rep. 1993;5(2):157–77.PubMed
43.
go back to reference Aliarzadeh B, Greiver M, Moineddin R, Meaney C, White D, Moazzam A, et al. Association between socio-economic status and hemoglobin A1c levels in a Canadian primary care adult population without diabetes. BMC Fam Pract. 2014;15(1):7.CrossRef Aliarzadeh B, Greiver M, Moineddin R, Meaney C, White D, Moazzam A, et al. Association between socio-economic status and hemoglobin A1c levels in a Canadian primary care adult population without diabetes. BMC Fam Pract. 2014;15(1):7.CrossRef
44.
go back to reference Loo CK, Greiver M, Aliarzadeh B, Lewis D. Association between neighbourhood walkability and metabolic risk factors influenced by physical activity: a cross-sectional study of adults in Toronto, Canada. BMJ Open. 2017;7(4):e013889. Loo CK, Greiver M, Aliarzadeh B, Lewis D. Association between neighbourhood walkability and metabolic risk factors influenced by physical activity: a cross-sectional study of adults in Toronto, Canada. BMJ Open. 2017;7(4):e013889.
45.
go back to reference Brehaut JC, Colquhoun HL, Eva KW, Carroll K, Sales A, Michie S, et al. Practice feedback interventions: 15 suggestions for optimizing effectiveness. Ann Intern Med. 2016;164(6):435–41.CrossRef Brehaut JC, Colquhoun HL, Eva KW, Carroll K, Sales A, Michie S, et al. Practice feedback interventions: 15 suggestions for optimizing effectiveness. Ann Intern Med. 2016;164(6):435–41.CrossRef
47.
go back to reference Joy M, McGagh D, Jones N, Liyanage H, Sherlock J, Parimalanathan V, et al. Reorganisation of primary care for older adults during COVID-19: a cross-sectional database study in the UK. Br J Gen Pract. 2020;70(697):e540–7.CrossRef Joy M, McGagh D, Jones N, Liyanage H, Sherlock J, Parimalanathan V, et al. Reorganisation of primary care for older adults during COVID-19: a cross-sectional database study in the UK. Br J Gen Pract. 2020;70(697):e540–7.CrossRef
48.
go back to reference Lofters AK, Telner D, Kalia S, Slater M. Association Between Adherence to Cancer Screening and Knowledge of Screening Guidelines: Feasibility Study Linking Self-Reported Survey Data With Medical Records. JMIR Cancer. 2018;4(2):e10529. Lofters AK, Telner D, Kalia S, Slater M. Association Between Adherence to Cancer Screening and Knowledge of Screening Guidelines: Feasibility Study Linking Self-Reported Survey Data With Medical Records. JMIR Cancer. 2018;4(2):e10529.
49.
go back to reference Moscrop A, Ziebland S, Bloch G, Iraola JR. If social determinants of health are so important, shouldn't we ask patients about them? Bmj. 2020;371:m4150. Moscrop A, Ziebland S, Bloch G, Iraola JR. If social determinants of health are so important, shouldn't we ask patients about them? Bmj. 2020;371:m4150.
50.
go back to reference Urquhart R, Kendell C, Geldenhuys L, Ross A, Rajaraman M, Folkes A, et al. The role of scientific evidence in decisions to adopt complex innovations in cancer care settings: a multiple case study in Nova Scotia, Canada. Implement Sci. 2019;14(1):14.CrossRef Urquhart R, Kendell C, Geldenhuys L, Ross A, Rajaraman M, Folkes A, et al. The role of scientific evidence in decisions to adopt complex innovations in cancer care settings: a multiple case study in Nova Scotia, Canada. Implement Sci. 2019;14(1):14.CrossRef
Metadata
Title
Implementation of targeted screening for poverty in a large primary care team in Toronto, Canada: a feasibility study
Authors
Kimberly Wintemute
Meh Noor
Aashka Bhatt
Gary Bloch
Suja Arackal
Sumeet Kalia
Babak Aliarzadeh
Sabrina La Tona
Joyce Lo
Andrew D. Pinto
Michelle Greiver
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
Care
Published in
BMC Primary Care / Issue 1/2021
Electronic ISSN: 2731-4553
DOI
https://doi.org/10.1186/s12875-021-01514-9

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