Skip to main content

Main menu

  • Home
  • Articles
    • Current
    • Published Ahead of Print
    • Archive
    • Supplemental Issues
    • Collections - French
    • Collections - English
  • Info for
    • Authors & Reviewers
    • Submit a Manuscript
    • Advertisers
    • Careers & Locums
    • Subscribers
    • Permissions
  • About CFP
    • About CFP
    • About the CFPC
    • Editorial Advisory Board
    • Terms of Use
    • Contact Us
  • Feedback
    • Feedback
    • Rapid Responses
    • Most Read
    • Most Cited
    • Email Alerts
  • Blogs
    • Latest Blogs
    • Blog Guidelines
    • Directives pour les blogues
  • Mainpro+ Credits
    • About Mainpro+
    • Member Login
    • Instructions
  • Other Publications
    • http://www.cfpc.ca/Canadianfamilyphysician/
    • https://www.cfpc.ca/Login/
    • Careers and Locums

User menu

  • My alerts

Search

  • Advanced search
The College of Family Physicians of Canada
  • Other Publications
    • http://www.cfpc.ca/Canadianfamilyphysician/
    • https://www.cfpc.ca/Login/
    • Careers and Locums
  • My alerts
The College of Family Physicians of Canada

Advanced Search

  • Home
  • Articles
    • Current
    • Published Ahead of Print
    • Archive
    • Supplemental Issues
    • Collections - French
    • Collections - English
  • Info for
    • Authors & Reviewers
    • Submit a Manuscript
    • Advertisers
    • Careers & Locums
    • Subscribers
    • Permissions
  • About CFP
    • About CFP
    • About the CFPC
    • Editorial Advisory Board
    • Terms of Use
    • Contact Us
  • Feedback
    • Feedback
    • Rapid Responses
    • Most Read
    • Most Cited
    • Email Alerts
  • Blogs
    • Latest Blogs
    • Blog Guidelines
    • Directives pour les blogues
  • Mainpro+ Credits
    • About Mainpro+
    • Member Login
    • Instructions
  • RSS feeds
  • Follow cfp Template on Twitter
  • LinkedIn
  • Instagram
Research ArticleResearch

Sociodemographic variation in use of and preferences for digital technologies among patients in primary care

Results from the OurCare national survey

Benoît Corriveau, Gabrielle Denault, Rick Wang, Alexander Beyer, Maryam Daneshvarfard, Mylaine Breton, Neb Kovacina, Lindsay Hedden, Goldis Mitra, Michael E. Green, Danielle Martin, Danielle Brown-Shreves, Jasmin Kay, Peter MacLeod, Clifton van der Linden and Tara Kiran
Canadian Family Physician May 2025; 71 (5) 324-336; DOI: https://doi.org/10.46747/cfp.7105324
Benoît Corriveau
Associate Medical Officer of Health at the Public Health Department of Montreal and Associate Member of the Department of Preventive Medicine and Public Health at the Centre Hospitalier de l’Université de Montréal in Quebec.
MD MSc FRCPC
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gabrielle Denault
Public Health and Preventive Medicine resident at the Université de Montréal.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rick Wang
Senior Research Data Scientist at the MAP Centre for Urban Health Solutions in Toronto, Ont.
MMath
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Beyer
Postdoctoral fellow in the Department of Political Science at McMaster University in Hamilton, Ont, and Senior Data Scientist at Vox Pop Labs in Hamilton.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maryam Daneshvarfard
International Medical Graduate and Research Coordinator at the MAP Centre for Urban Health Solutions.
MScCH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mylaine Breton
Professor in the Department of Community Health Sciences at Sherbrooke University in Longueuil, Que.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Neb Kovacina
Quality Improvement Program Director in the Department of Family Medicine at McGill University in Montréal.
MDCM CCFP MHSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lindsay Hedden
Assistant Professor in the Faculty of Health Sciences at Simon Fraser University in Burnaby, BC.
MSc PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Goldis Mitra
Clinical Assistant Professor in the Department of Family Practice at the University of British Columbia in Vancouver.
MD CCFP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael E. Green
President, Vice-Chancellor, Dean, and CEO of the Northern Ontario School of Medicine University, and Professor Emeritus in the Department of Family Medicine, Member of the Health Services and Policy Research Institute, and Senior Adjunct Scientist at ICES Queen’s at Queen’s University in Kingston, Ont.
MD MPH CCFP FCFP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Danielle Martin
Chair in the Department of Family and Community Medicine at the University of Toronto, Professor at the Temerty Faculty of Medicine and the Institute of Health Policy, Management and Evaluation at the University of Toronto, and a family physician in the Department of Family and Community Medicine at Women’s College Hospital in Toronto.
MD CCFP FCFP MPubPol
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Danielle Brown-Shreves
Assistant Professor in the Department of Family Medicine at the University of Ottawa in Ontario, and Adjunct Professor in the Department of Family Medicine at Queen’s University.
MBBS MSGH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jasmin Kay
Director at MASS LBP in Toronto.
MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter MacLeod
Founder and Principal at MASS LBP.
MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Clifton van der Linden
Associate Professor in the Department of Political Science at McMaster University, and Founder and Chief Executive Officer at Vox Pop Labs.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tara Kiran
Vice-Chair of Quality and Innovation in the Department of Family and Community Medicine at the University of Toronto; Associate Professor in the Faculty of Medicine and the Institute of Health Policy, Management and Evaluation at the University of Toronto; Scientist in the MAP Centre for Urban Health Solutions at St Michael’s Hospital; and a staff physician in the Department of Family and Community Medicine at St Michael’s Hospital, Unity Health Toronto.
MD MSc CCFP FCFP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: tara.kiran@utoronto.ca
  • Article
  • Figures & Data
  • CFPlus
  • eLetters
  • Info & Metrics
  • PDF
Loading

Abstract

Objective To assess the association between patient sociodemographic characteristics and adoption of and preferences for digital technologies in primary care.

Design Cross-sectional bilingual online survey conducted in the fall of 2022.

Setting Canada.

Participants Adults living in Canada aged 18 and older.

Main outcome measures Descriptive statistics were reviewed and a bivariate analysis was conducted of 8 outcomes by sociodemographic characteristic. Models included the following 8 self-reported characteristics: gender, age, province, level of education, level of income, rurality, whether the participant was born in Canada, and health status. Descriptive responses to a question on why video appointments were not important for some respondents were also examined.

Results Data were analyzed from 9279 completed responses. Compared to those earning more than $150,000, respondents earning less than $30,000 were less likely to have recently used email or secure messaging (adjusted odds ratio [aOR]=0.57, 95% CI 0.37 to 0.87) or video calls (aOR=0.65, 95% CI 0.31 to 1.37) or want to use email or secure messaging (aOR=0.71, 95% CI 0.51 to 0.97) or video calls (aOR=0.50, 95% CI 0.36 to 0.68). Compared to university graduates, respondents with a high school diploma or below were less likely to have used email or secure messaging (aOR=0.67, 95% CI 0.49 to 0.90) or video calls (aOR=0.42, 95% CI 0.24 to 0.76) or want to use email or secure messaging (aOR=0.74, 95% CI 0.60 to 0.91) or video calls (aOR=0.73, 95% CI 0.59 to 0.90). People earning less than $30,000 were less likely to have accessed personal health records (aOR=0.43, 95% CI 0.30 to 0.61) or place importance on accessing them (aOR=0.60, 95% CI 0.41 to 0.88). Similarly, people with a high school diploma or less were less likely to access personal health records (aOR=0.61, 95% CI 0.50 to 0.76) and place importance on accessing them (aOR=0.68, 95% CI 0.54 to 0.86).

Conclusion The results suggest that people living with a lower income or who have less formal education are less likely to have used digital technologies or consider them important. Further research and policy work should help to understand barriers to adoption of digital technologies and develop tailored interventions to enable equitable access to health care services.

Digital technologies such as virtual care or personal health records (PHRs) have the potential to improve access and efficiency in primary care. Virtual care, also known as telemedicine or telehealth, includes synchronous communication tools such as video or telephone calls and asynchronous tools like email or live chat. Personal health records, or patient portal access, are online platforms that allow functions such as viewing test results, immunization records, or medication lists. Canada has historically lagged behind its international peers in technology adoption, but has recently seen a marked increase in the integration of digital technologies in primary care practices sparked by the rapid adoption of such services during the COVID-19 pandemic.1,2 From 2019 to 2022, the proportion of primary care physicians offering online appointments rose from 22% to 38%, while the proportion allowing patient communication through email or secure messaging grew from 23% to 50%.3

However, digital technologies have been described as a double-edged sword. They have the potential to enhance access for underserved communities (including those in rural areas or individuals with disabilities),4 but may also widen existing inequities in health and care, in part due to variation in access to technology, digital fluency, and health literacy.5,6 Studies suggest an increased uptake of virtual care among younger, healthier, more educated individuals with higher socioeconomic means.7-9 Similarly, factors such as age, income, education, and health status greatly influence the access to and usage of PHRs.10-12

Given the expanding influence of digital technologies in primary care practice, it is important to understand their potential to deepen the digital divide and exacerbate health disparities. This study aims to assess the association between socioeconomic factors like income and education on the adoption of and preferences for digital technologies in primary care. To our knowledge, it is the first study to specifically explore how education and income levels impact the perceived importance and actual usage of specific virtual care solutions for primary care in the Canadian context.

METHODS

Study design and context

We analyzed results from a cross-sectional survey of adults living in Canada to understand the use of and interest in digital technologies that enable care and access to information. Medically necessary physician visits are free at the point of care for all residents of Canada through provincial and territorial health insurance plans. Following the onset of the pandemic, family physicians received remuneration from the public system for telephone visits with their patients; remuneration for video and email or secure messaging varied by province and territory.13

Survey design

We analyzed survey data that were collected as part of OurCare, a pan-Canadian initiative to engage the public about the future of primary care in Canada. Survey methods are detailed elsewhere14 and summarized here briefly. The survey was conducted between September 20 and October 25, 2022, with people living in Canada, aged 18 and older, who were eligible to respond. The online questionnaire was available in English and French, hosted on Qualtrics, and distributed using 2 methods. First, we distributed an open link and promoted the survey via our partner networks, the media, social media channels, and the project website. Second, Vox Pop Labs, a national public opinion research company, sent a single closed link to 122,053 individuals from its proprietary panel with 2 personalized reminders. A partner organization supported patients living in an underserved area in Ontario to complete the survey and provided a $10 gift card for participation. No other incentives were offered.

The survey content was developed with more than 50 collaborators, including primary care clinicians, researchers, administrators, policy-makers, patients, survey methodologists, and a patient education expert who provided advice on an accessible literacy level for the questionnaire. The survey was anonymous and no personal health information was collected.

Statistical correction and inclusion criteria

To ensure that our sample closely mirrored the population of Canada, we applied weighting to each response using an iterative proportional fitting method, which was based on marginal distributions derived from the 2021 Statistics Canada census. We used the following attributes for weighting: age, gender, education, income, language, and region. We included surveys where respondents reached the end of the survey, there were no anomalies (eg, a lack of variation in responses within question blocks), and there were usable answers to all the demographic questions required for weighting. We excluded surveys that were completed in less than 550 seconds (the 3.3rd percentile of usable observations for total survey duration).

Data analysis

Analysis for this manuscript was conducted using the weighted data. We examined 8 outcomes related to the use and importance of digital technologies for care and access to information (Table 1). We reviewed descriptive statistics and conducted a bivariate analysis of the 8 outcomes by sociodemographic characteristics. Where bivariate analysis indicated some variation, we used multivariate logistic regression modelling to quantify the association between sociodemographic characteristics and outcomes.

View this table:
  • View inline
  • View popup
Table 1.

Survey questions on digital technologies included in analysis, response options, and how the variables were dichotomized

Models included the following self-reported characteristics: gender, age, province, level of education, level of income, rurality, whether the participant was born in Canada, and health status. The choice of variables included in the fitted model was based on a literature review. Finally, we examined descriptive responses to a question on why video appointments were not important for some respondents. All statistical analyses were conducted using R, version 4.0.0.

RESULTS

Overall, 14,018 adults responded to the survey and 9279 survey responses were included in the analysis. The effective sample size after weighting was 3199, and demographic characteristics of the respondents are presented in Appendix 1, available from CFPlus.* In total, 77.0% of respondents reported having a family physician or nurse practitioner (ie, a primary care clinician).

Descriptive analysis

Among respondents with a primary care clinician, 70.7% reported communicating by telephone, 5.0% by video, and 17.6% by email or secure messaging in the past 12 months. Among all respondents, when asked about the most important ways to receive care, 92.5% chose in-person appointments booked in advance, 54.4% in-person appointments where you can drop in or walk in, 66.1% telephone communication, 40.7% video consultations, and 42.1% email or secure messaging (Figure 1). Among those who said that telephone appointments were not important, the top 3 reasons were the following: “I like seeing my health care provider in person,” “I do not feel connected to my health care provider when using the phone,” and “I need in-person visits for my health issues.” Among those who said video appointments were not important, the top 3 reasons were the following: “I like seeing my health care provider in person,” “I am satisfied with the other appointment options,” and “I do not feel connected to my health care provider when using video.”

Figure 1.
  • Download figure
  • Open in new tab
Figure 1.

Use and importance of virtual care modalities

Further, 59.4% of respondents reported having used an app or website to access their medical information, and 75.1% of respondents said that accessing their personal health information online was “fairly important” or “very important.”

Bivariate analysis

Use and importance of telephone calls was relatively high among all sociodemographic strata with little variation between sociodemographic groups so no regression modelling was done (Appendix 2, available from CFPlus*). In contrast, there was marked variation by sociodemographic characteristic for the remaining 6 outcome variables.

Regression analysis

Email and secure messaging. After adjusting for other factors, respondents without a university degree and those earning less than $150,000 had lower odds of communicating by email or secure messaging compared to the relevant reference groups. They also had lower odds of considering email or secure messaging as 1 of the most important ways to receive care. Additionally, respondents younger than age 65 had higher odds of selecting email or secure messaging as 1 of the most important methods for care, while men had lower odds than women (Figure 2).

Figure 2.
  • Download figure
  • Open in new tab
Figure 2.
  • Download figure
  • Open in new tab
Figure 2.

Percentages of respondents who: A) communicated with a family doctor or nurse practitioner via email or secure message during the past 12 mo and corresponding odds ratios by sociodemographic characteristic, and B) would like to use email or secure messaging to receive care from a family doctor or nurse practitioner and corresponding odds ratios by sociodemographic characteristic.

Video calls. After adjustment, few sociodemographic variables showed a statistically significant difference in having used videoconferencing in the past 12 months, except for education level and rurality. Respondents with less than a university degree and those with an income under $70,000 had lower odds of selecting video as 1 of the most important ways to receive care compared to the reference groups. Conversely, respondents younger than 65 had higher odds of considering video as 1 of the most important methods for receiving care (Figure 3).

Figure 3.
  • Download figure
  • Open in new tab
Figure 3.
  • Download figure
  • Open in new tab
Figure 3.

Percentages of respondents who: A) communicated with a family doctor or nurse practitioner via video call during the past 12 mo and corresponding odds ratios by sociodemographic characteristic, and B) would like to use video appointments to receive care from a family doctor or nurse practitioner and corresponding odds ratios by sociodemographic characteristic.

Digital access to information. After adjustment, respondents with less than a university degree and with an income under $150,000 had substantially lower odds of having used an app or website to view their personal medical information. Respondents with less than a university degree and with an income under $70,000 had substantially lower odds of considering online access to their personal health information important compared to the relevant reference groups. Additionally, men and people living in rural areas had substantially lower odds of having used online access or saying it was important to them compared to women and people living in urban areas (Figure 4).

Figure 4.
  • Download figure
  • Open in new tab
Figure 4.
  • Download figure
  • Open in new tab
Figure 4.

Percentages of respondents who: A) used an app or website to see personal medical information and corresponding odds ratios by sociodemographic characteristic, and B) said it is fairly or very important to be able to look at personal health information online and corresponding odds ratios by sociodemographic characteristic.

DISCUSSION

The integration of digital technology in primary care has the potential to improve accessibility.1,4 However, our national survey, conducted 30 months after the start of the COVID-19 pandemic, suggests that the transformative potential of digital technology is not uniformly realized or desired. Most respondents had experience using telephone calls and considered them important for receiving care. However, use of and interest in newer technologies such as email or secure messaging, video consultations, and PHRs varied based on socioeconomic characteristics. Those with less than a university degree and those with a lower income had lower odds of communicating or wanting to communicate by email or secure messaging, wanting to use videoconferences, or accessing or wanting to access personal health information online.

Such results reinforce the findings of previous studies that flagged income and education as influential determinants of virtual care adoption.15-18 Our findings align with Yu and Hagens,16 who found that individuals with household incomes below $80,000 had lower odds of using video (odds ratio=0.56) or digital messaging (odds ratio=0.77), and also noted that lower education levels were associated with reduced demand for virtual care modalities. However, contrasting findings were reported by Bhatia et al,19 who observed a substantial increase in virtual care uptake across all income quintiles during the COVID-19 pandemic. Their study, however, included telephone appointments as a form of virtual care, with more than 90% of all virtual care appointments they analyzed being telephone calls, which we excluded from our analysis to focus on newer virtual care modalities, as our preliminary analysis showed minimal variation in the use of and preferences for telephone appointments across different income and education levels. Our findings on PHRs also align with other studies showing lower-income and less-educated individuals are less likely to use them.10-12

Despite its potential to bridge access gaps, strategies to ensure equity for lower-income and less-educated groups must be explored further to understand how virtual care can be made more equitable.20,21 Possible interventions might focus on improving digital literacy, increasing access to affordable technology, ensuring the availability of telephone consultations, and enhancing Internet infrastructure in underserved areas.1,22 Many recently developed virtual care services are not part of the publicly funded health care system, and given the current shortage of health care professionals, these private services can divert human resources away from the public system, exacerbating access issues.23 Members of the public who were engaged through the OurCare priorities panels, conducted in parallel to this study, recommended expanding virtual care with a view to enhance access equity, especially in rural and remote areas, by developing comprehensive models that ensure access 24 hours a day, 7 days a week to services and diverse care modes like video, telephone, and secure messaging tailored to patient preferences and integrated with in-person care. They also emphasized making medical records and PHRs accessible and interoperable across health care platforms to improve efficiency and empower patients.24

Limitations

Our biggest limitation is response bias. The data collection method, an Internet-based survey, introduces potential selection bias. Internet surveys might not capture those without regular Internet access or technology proficiency. In the context of our study on virtual care and technology, this bias is particularly salient. Those less familiar with technology might be underrepresented in our sample, possibly skewing our findings toward a more positive view of virtual care and leading to an underestimation of sociodemographic differences. Additionally, our study did not explore potential differences in the quality of virtual care received by different income groups, which could be an important factor in understanding health disparities. Finally, we did not have any respondents from the Northwest Territories, Nunavut, or Yukon, a region where digital technology plays a potentially even more important role in providing access given the vast geography.

Conclusion

Findings from our large national survey suggest that people living with a lower income or who have less formal education are less likely to have used digital technologies or consider them important, including email or secure messaging, video calls, and online access to PHRs. The integration of digital technology into primary care in Canada is an opportunity to improve access for underserved individuals, particularly those in remote or rural areas, but also risks widening health inequities. Further research and policy work is needed to understand income- and education-related barriers to adopting virtual care and develop tailored interventions that help ensure equitable access to primary care services.

Acknowledgment

We thank our collaborators on our National Health Policy and Health System Governance Group and Primary Care Leaders Circle, members of the Canadian Medical Association’s Patient Voice Advisory Group, and the Improving Primary Care Public Advisors Council at Unity Health Toronto for their help informing the study design and survey questions, interpreting results, and promoting the survey. We also thank Amy Craig-Neil for her support early in the project, Katrina Grieve for help simplifying the survey language, and Paul Krueger for feedback on survey design.

Footnotes

  • ↵* Appendices 1 and 2 are available from https://www.cfp.ca. Go to the full text of the article online and click on the CFPlus tab.

  • Contributors

    All authors contributed to the conception and design of the work. Dr Alexander Beyer and Dr Clifton van der Linden led data collection. Dr Gabrielle Denault, Rick Wang, Dr Beyer, and Maryam Daneshvarfard conducted the analysis. All authors interpreted the data. Dr Benoît Corriveau and Dr Denault jointly drafted the manuscript. All the authors revised it critically for important intellectual content, gave final approval of the version to be published, and agreed to be accountable for all aspects of the work.

  • Competing interests

    Dr Michael E. Green has received grants from the Ontario Ministry of Health and is also a member of the College of Family Physicians of Canada board and executive committee (as Past President). Dr Tara Kiran received a Health Canada grant for the present work, as well as a grant for previous work from the Ontario Ministry of Health and consulting fees from Ontario Health. She has received speaking honoraria from the Canadian Medical Association, the College of Family Physicians of Canada, the Ontario Medical Association, the Association of Family Health Teams of Ontario, Shared Health in Manitoba, Health Workforce Canada, the Alberta College of Family Physicians, and the Ontario College of Family Physicians. The rest of the authors have declared no competing interests.

  • This article has been peer reviewed.

  • Cet article a fait l’objet d’une révision par des pairs.

  • Copyright © 2025 the College of Family Physicians of Canada

References

  1. 1.↵
    1. Health Canada
    . Enhancing equitable access to virtual care in Canada: principle-based recommendations for equity. Ottawa, ON: Health Canada; 2021. Available from: https://www.canada.ca/en/health-canada/corporate/transparency/health-agreements/bilateral-agreement-pan-canadian-virtual-care-priorities-covid-19/enhancing-access-principle-based-recommendations-equity.html. Accessed 2025 Mar 24.
  2. 2.↵
    1. Glazier R,
    2. Green M,
    3. Wu F,
    4. Frymire E,
    5. Kopp A,
    6. Kiran T.
    Shifts in office and virtual primary care during the early COVID-19 pandemic in Ontario, Canada. CMAJ 2021;193(6):E200-10.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    The expansion of virtual care in Canada: new data and information. Ottawa, ON: Canadian Institute for Health Information; 2023. Available from: https://www.cihi.ca/sites/default/files/document/expansion-of-virtual-care-in-canada-report-en.pdf. Accessed 2025 Mar 24.
  4. 4.↵
    1. Barbosa W,
    2. Zhou K,
    3. Waddell E,
    4. Myers T,
    5. Dorsey ER.
    Improving access to care: telemedicine across medical domains. Annu Rev Public Health 2021;42:463-81.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Gergen Barnett K,
    2. Mishuris RG,
    3. Williams CT,
    4. Bragg A,
    5. Semenya AM,
    6. Baldwin, et al.
    Telehealth’s double-edged sword: bridging or perpetuating health inequities? J Gen Intern Med 2022;37(11):2845-8.
    OpenUrlPubMed
  6. 6.↵
    1. Thomas-Jacques T,
    2. Jamieson T,
    3. Shaw J.
    Telephone, video, equity and access in virtual care. NPJ Digit Med 2021;4(1):159.
    OpenUrlPubMed
  7. 7.↵
    1. Lee E,
    2. Grigorescu V,
    3. Enogieru I,
    4. Smith S,
    5. Samson L,
    6. Conmy AB, et al.
    Updated national survey trends in telehealth utilization and modality (2021-2022). Washington, DC: Assistant Secretary for Planning and Evaluation, US Department of Health and Human Services; 2023. Available from: https://aspe.hhs.gov/sites/default/files/documents/7d6b4989431f4c70144f209622975116/household-pulse-survey-telehealth-covid-ib.pdf. Accessed 2025 Mar 24.
  8. 8.
    1. Luo J,
    2. Tong L,
    3. Crotty BH,
    4. Somai M,
    5. Taylor B,
    6. Osinski K, et al.
    Telemedicine adoption during the COVID-19 pandemic: gaps and inequalities. Appl Clin Inform 2021;12(4):836-44.
    OpenUrlPubMed
  9. 9.↵
    1. Haimi M.
    The tragic paradoxical effect of telemedicine on healthcare disparities—a time for redemption: a narrative review. BMC Med Inform Decis Mak 2023;23(1):95.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Chapman R,
    2. Haroon S,
    3. Simms-Williams N,
    4. Bhala N,
    5. Miah F,
    6. Nirantharakumar K, et al.
    Socioeconomic deprivation, age and language are barriers to accessing personal health records: a cross-sectional study of a large hospital-based personal health record system. BMJ Open 2022;12(1):e054655.
    OpenUrlAbstract/FREE Full Text
  11. 11.
    1. Paccoud I,
    2. Baumann M,
    3. Le Bihan E,
    4. Pétré B,
    5. Breinbauer M,
    6. Böhme P, et al.
    Socioeconomic and behavioural factors associated with access to and use of personal health records. BMC Med Inform Decis Mak 2021;21(1):18.
    OpenUrlPubMed
  12. 12.↵
    1. Niazkhani Z,
    2. Toni E,
    3. Cheshmekaboodi M,
    4. Georgiou A,
    5. Pirnejad H.
    Barriers to patient, provider, and caregiver adoption and use of electronic personal health records in chronic care: a systematic review. BMC Med Inform Decis Mak 2020;20(1):153.
    OpenUrlPubMed
  13. 13.↵
    Physician billing codes in response to COVID-19. Ottawa, ON: Canadian Institute for Health Information; 2022. Available from: https://www.cihi.ca/en/physician-billing-codes-in-response-to-covid-19. Accessed 2025 Mar 24.
  14. 14.↵
    1. Kiran T,
    2. Daneshvarfard M,
    3. Wang R,
    4. Beyer A,
    5. Kay J,
    6. Breton M, et al.
    Public experiences and perspectives of primary care in Canada: results from a cross-sectional survey. CMAJ 2024;196(19):E646-56.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. Park J,
    2. Erikson C,
    3. Han X,
    4. Iyer P.
    Are state telehealth policies associated with the use of telehealth services among underserved populations? Health Aff (Millwood) 2018;37(12):2060-8.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Yu E,
    2. Hagens S.
    Socioeconomic disparities in the demand for and use of virtual visits among senior adults during the covid-19 pandemic: cross-sectional study. JMIR Aging 2022;5(1):e35221.
    OpenUrl
  17. 17.
    1. Darrat I,
    2. Tam S,
    3. Boulis M,
    4. Williams A.
    Socioeconomic disparities in patient use of telehealth during the coronavirus disease 2019 surge. JAMA Otolaryngol Head Neck Surg 2021;147(3):287-95.
    OpenUrlPubMed
  18. 18.↵
    1. Patterson P,
    2. Roddick J,
    3. Pollack C,
    4. Dutton D.
    Virtual care and the influence of a pandemic: necessary policy shifts to drive digital innovation in healthcare. Healthc Manage Forum 2022;35(5):272-8.
    OpenUrlPubMed
  19. 19.↵
    1. Bhatia RS,
    2. Chu C,
    3. Pang A,
    4. Tadrous M,
    5. Stamenova V,
    6. Cram P.
    Virtual care use before and during the COVID-19 pandemic: a repeated cross-sectional study. CMAJ Open 2021;9(1):E107-14.
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Azar R,
    2. Chan R,
    3. Sarkisian M,
    4. Burns R,
    5. Marcin J,
    6. Gotthardt C, et al.
    Adapting telehealth to address health equity: perspectives of primary care providers across the United States. J Telemed Telecare 2024;1357633X241238780.
  21. 21.↵
    Virtual care in Canada: progress and potential. Ottawa, ON: Canadian Medical Association, College of Family Physicians of Canada, Royal College of Physicians and Surgeons of Canada; 2022. Available from: https://www.cma.ca/sites/default/files/2022-02/Virtual-Care-in-Canada-Progress-and-Potential-EN.pdf. Accessed 2025 Mar 24.
  22. 22.↵
    1. Campanozzi L,
    2. Gibelli F,
    3. Bailo P,
    4. Nittari G,
    5. Sirignano A,
    6. Ricci G.
    The role of digital literacy in achieving health equity in the third millennium society: a literature review. Front Public Health 2023;11:1109323.
    OpenUrlPubMed
  23. 23.↵
    Buying access will cost you: the unintended consequences of for-profit virtual care. Mississauga, ON: College of Family Physicians of Canada; 2022. Available from: https://www.cfpc.ca/CFPC/media/Resources/Health-Policy/Corporatization-of-Care.pdf. Accessed 2025 Mar 24.
  24. 24.↵
    Primary care needs ourcare: the final report of the largest pan-Canadian conversation about primary care. Toronto, ON: MAP Centre for Urban Health Solutions; 2024. Available from: https://issuu.com/dfcm/docs/primary_care_needs_ourcare_the_final_report_of_the?fr=xKAE9_zU1NQ. Accessed 2025 Mar 24.
PreviousNext
Back to top

In this issue

Canadian Family Physician: 71 (5)
Canadian Family Physician
Vol. 71, Issue 5
1 May 2025
  • Table of Contents
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on The College of Family Physicians of Canada.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Sociodemographic variation in use of and preferences for digital technologies among patients in primary care
(Your Name) has sent you a message from The College of Family Physicians of Canada
(Your Name) thought you would like to see the The College of Family Physicians of Canada web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Sociodemographic variation in use of and preferences for digital technologies among patients in primary care
Benoît Corriveau, Gabrielle Denault, Rick Wang, Alexander Beyer, Maryam Daneshvarfard, Mylaine Breton, Neb Kovacina, Lindsay Hedden, Goldis Mitra, Michael E. Green, Danielle Martin, Danielle Brown-Shreves, Jasmin Kay, Peter MacLeod, Clifton van der Linden, Tara Kiran
Canadian Family Physician May 2025, 71 (5) 324-336; DOI: 10.46747/cfp.7105324

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Sociodemographic variation in use of and preferences for digital technologies among patients in primary care
Benoît Corriveau, Gabrielle Denault, Rick Wang, Alexander Beyer, Maryam Daneshvarfard, Mylaine Breton, Neb Kovacina, Lindsay Hedden, Goldis Mitra, Michael E. Green, Danielle Martin, Danielle Brown-Shreves, Jasmin Kay, Peter MacLeod, Clifton van der Linden, Tara Kiran
Canadian Family Physician May 2025, 71 (5) 324-336; DOI: 10.46747/cfp.7105324
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgment
    • Footnotes
    • References
  • Figures & Data
  • CFPlus
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Electronic consultation questions asked to addiction medicine specialists by primary care providers
  • Prevalence and management of symptom diagnoses in children in general practice
Show more Research

Similar Articles

Subjects

  • Collection française
    • Résumés de recherche

Navigate

  • Home
  • Current Issue
  • Archive
  • Collections - English
  • Collections - Française

For Authors

  • Authors and Reviewers
  • Submit a Manuscript
  • Permissions
  • Terms of Use

General Information

  • About CFP
  • About the CFPC
  • Advertisers
  • Careers & Locums
  • Editorial Advisory Board
  • Subscribers

Journal Services

  • Email Alerts
  • Twitter
  • LinkedIn
  • Instagram
  • RSS Feeds

Copyright © 2025 by The College of Family Physicians of Canada

Powered by HighWire