Virtual Care and Electronic Patient Communication During COVID-19: Cross-sectional Study of Inequities Across a Canadian Tertiary Cancer Center.

COVID-19 cancer care cross sectional digital divide digital health eHealth electronic mail engagement experience health inequality health inequities oncology patient reported satisfaction telehealth telemedicine virtual care

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
04 11 2022
Historique:
received: 20 05 2022
accepted: 20 10 2022
revised: 18 09 2022
entrez: 4 11 2022
pubmed: 5 11 2022
medline: 9 11 2022
Statut: epublish

Résumé

Virtual care (VC) visits (telephone or video) and email-based patient communication have been rapidly adopted to facilitate cancer care during the COVID-19 pandemic. Inequities in access and patient experience may arise as these digital health tools become prevalent. We aimed to characterize inequities in access and patient-reported experience following adoption of digital health tools at a tertiary cancer center during the COVID-19 pandemic. We designed a cross-sectional study of outpatients with visits from September to December 2020. Patient characteristics and responses to an email-based patient-experience survey were collated. Inequities in access were assessed across three pairs of comparison groups: (1) patients with VC and in-person visits, (2) patients with and without documented email addresses, and (3) responders and nonresponders to the survey. Inequities in patient-reported experience were assessed among survey responders. Demographics were mapped to area-level averages from national census data. Socioeconomic status was mapped to area-level dimensions of the Canadian Index of Multiple Deprivation. Covariate balance between comparison groups was assessed using standardized mean differences (SMDs), with SMD≥0.2 indicating differences between groups. Associations between patient experience satisfaction scores and covariates were assessed using multivariable analyses, with P<.05 indicating statistical significance. Among the 42,194 patients who had outpatient visits, 62.65% (n=26,435) had at least one VC visit and 31.15% (n=13,144) were emailable. Access to VC and email was similar across demographic and socioeconomic indices (SMD<0.2). Among emailable patients, 21.84% (2870/13,144) responded to the survey. Survey responsiveness was similar across indices, aside from a small difference by age (SMD=0.24). Among responders, 24.4% received VC and were similar to in-person responders across indices (SMD<0.2). VC and in-person responders had similar satisfaction levels with all care domains surveyed (all P>.05). Regardless of visit type, patients had variable satisfaction with care domains across demographic and socioeconomic indices. Patients with higher ethnocultural composition scores were less satisfied with the cultural appropriateness of their care (odds ratio [OR] 0.70, 95% CI 0.57-0.86). Patients with higher situational vulnerability scores were less satisfied with discussion of physical symptoms (OR 0.67, 95% CI 0.48-0.93). Patients with higher residential instability scores were less satisfied with discussion of both physical (OR 0.81, 95% CI 0.68-0.97) and emotional (OR 0.86, 95% CI 0.77-0.96) symptoms, and also with the duration of their visit (OR 0.85, 95% CI 0.74-0.98; P=.02). Male patients were more satisfied with how their health care provider had listened to them (OR 1.64, 95% CI 1.11-2.44; P=.01). Adoption of VC and email can equitably maintain access and patient-reported experience in cancer care across demographics and socioeconomic indices. Existing health inequities among structurally marginalized patients must continue to be addressed to improve their care experience.

Sections du résumé

BACKGROUND
Virtual care (VC) visits (telephone or video) and email-based patient communication have been rapidly adopted to facilitate cancer care during the COVID-19 pandemic. Inequities in access and patient experience may arise as these digital health tools become prevalent.
OBJECTIVE
We aimed to characterize inequities in access and patient-reported experience following adoption of digital health tools at a tertiary cancer center during the COVID-19 pandemic.
METHODS
We designed a cross-sectional study of outpatients with visits from September to December 2020. Patient characteristics and responses to an email-based patient-experience survey were collated. Inequities in access were assessed across three pairs of comparison groups: (1) patients with VC and in-person visits, (2) patients with and without documented email addresses, and (3) responders and nonresponders to the survey. Inequities in patient-reported experience were assessed among survey responders. Demographics were mapped to area-level averages from national census data. Socioeconomic status was mapped to area-level dimensions of the Canadian Index of Multiple Deprivation. Covariate balance between comparison groups was assessed using standardized mean differences (SMDs), with SMD≥0.2 indicating differences between groups. Associations between patient experience satisfaction scores and covariates were assessed using multivariable analyses, with P<.05 indicating statistical significance.
RESULTS
Among the 42,194 patients who had outpatient visits, 62.65% (n=26,435) had at least one VC visit and 31.15% (n=13,144) were emailable. Access to VC and email was similar across demographic and socioeconomic indices (SMD<0.2). Among emailable patients, 21.84% (2870/13,144) responded to the survey. Survey responsiveness was similar across indices, aside from a small difference by age (SMD=0.24). Among responders, 24.4% received VC and were similar to in-person responders across indices (SMD<0.2). VC and in-person responders had similar satisfaction levels with all care domains surveyed (all P>.05). Regardless of visit type, patients had variable satisfaction with care domains across demographic and socioeconomic indices. Patients with higher ethnocultural composition scores were less satisfied with the cultural appropriateness of their care (odds ratio [OR] 0.70, 95% CI 0.57-0.86). Patients with higher situational vulnerability scores were less satisfied with discussion of physical symptoms (OR 0.67, 95% CI 0.48-0.93). Patients with higher residential instability scores were less satisfied with discussion of both physical (OR 0.81, 95% CI 0.68-0.97) and emotional (OR 0.86, 95% CI 0.77-0.96) symptoms, and also with the duration of their visit (OR 0.85, 95% CI 0.74-0.98; P=.02). Male patients were more satisfied with how their health care provider had listened to them (OR 1.64, 95% CI 1.11-2.44; P=.01).
CONCLUSIONS
Adoption of VC and email can equitably maintain access and patient-reported experience in cancer care across demographics and socioeconomic indices. Existing health inequities among structurally marginalized patients must continue to be addressed to improve their care experience.

Identifiants

pubmed: 36331536
pii: v24i11e39728
doi: 10.2196/39728
pmc: PMC9640204
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e39728

Informations de copyright

©Amir H Safavi, Mike Lovas, Zhihui Amy Liu, Sheena Melwani, Tran Truong, Shayla Devonish, Nazek Abdelmutti, Ambreen Sayani, Danielle Rodin, Alejandro Berlin. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 04.11.2022.

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Auteurs

Amir H Safavi (AH)

Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

Mike Lovas (M)

Smart Cancer Care Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Healthcare Human Factors, University Health Network, Toronto, ON, Canada.

Zhihui Amy Liu (ZA)

Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Sheena Melwani (S)

Smart Cancer Care Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.

Tran Truong (T)

Data Science Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Techna Institute, University Health Network, Toronto, ON, Canada.

Shayla Devonish (S)

Smart Cancer Care Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.

Nazek Abdelmutti (N)

Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.

Ambreen Sayani (A)

Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada.

Danielle Rodin (D)

Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

Alejandro Berlin (A)

Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.

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