Routinely asking patients about income in primary care: a mixed-methods study
| Autor: | Andrew David Pinto, Erica Shenfeld, Tatiana Aratangy, Ri Wang, Rosane Nisenbaum, Aisha Lofters, Gary Bloch, Tara Kiran |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | BJGP Open, Vol 6, Iss 1 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2398-3795 23905107 |
| DOI: | 10.3399/BJGPO.2021.0090 |
| Popis: | Background: Income is a key social determinant of health, yet it is rare for data on income to be routinely collected and integrated with electronic health records. Aim: To examine response bias and evaluate patient perspectives of being asked about income in primary care. Design & setting: Mixed-methods study in a large, multi-site primary care organisation in Toronto, Canada, where patients are asked about income in a routinely administered sociodemographic survey. Method: Data were examined from the electronic health records of patients who answered at least one question on the survey between December 2013 and March 2016 (n = 14 247). The study compared those who responded to the income question with non-responders. Structured interviews with 27 patients were also conducted. Results: A total of 10 441 (73%) patients responded to both parts of the income question: ‘What was your total family income before taxes last year?’ and ‘How many people does your income support?’. Female patients, ethnic minorities, caregivers of young children, and older people were less likely to respond. From interviews, many patients were comfortable answering the income question, particularly if they understood the connection between income and health, and believed the data would be used to improve care. Several patients found it difficult to estimate their income or felt the options did not reflect fluctuating financial circumstances. Conclusion: Many patients will provide data on income in the context of a survey in primary care, but accurately estimating income can be challenging. Future research should compare self-reported income to perceived financial strain. Data on income linked to health records can help identify health inequities and help target anti-poverty interventions. |
| Databáze: | Directory of Open Access Journals |
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