Back to Authors

Flores, Ann Marie

https://orcid.org/0000-0001-7781-1555

Mayo Clinic

Northwestern University

Citations 3

Disparities in electronic health record portal access and use among patients with cancer
Griffin, Joan M. , Kroner, Anna , Wong, Sandra L. , Cheville, Andrea , Mitchell, Sandra A. , Lancki, Nicola , Hassett, Michael J. , Schrag, Deborah , Ridgeway, Jennifer L. , Cella, David , Flores, Ann Marie , Yanez, Betina R. , Hazard‐Jenkins, Hannah , Kroner, Barbara L , Cheville, Andrea L , Mitchell, Sandra A , Lancki, Nicola , Schrag, Deborah , Osarogiagbon, Raymond U , Ridgeway, Jennifer L , Cella, David , Jensen, Roxanne E , Flores, Ann Marie , Austin, Jessica D , Yanez, Betina , Griffin, Joan M , Wong, Sandra , Preiss, Liliana , Smith, Ashley Wilder , Osarogiagbon, Raymond U. , Jensen, Roxanne E. , Austin, Jessica D.

JNCI: Journal of the National Cancer Institute | November 6, 2023 | Volume: 116 | Issue: 3 | Pages: 476-484

10.1093/jnci/djad225 Get It

Abstract Background Electronic health record–linked portals may improve health-care quality for patients with cancer. Barriers to portal access and use undermine interventions that rely on portals to reduce cancer care disparities. This study examined portal access and persistence of portal use and associations with patient and structural factors before the implementation of 3 portal-based interventions within the Improving the Management of symPtoms during And following Cancer Treatment (IMPACT) Consortium. Methods Portal use data were extracted from electronic health records for the 12 months preceding intervention implementation. Sociodemographic factors, mode of accessing portals (web vs mobile), and number of clinical encounters before intervention implementation were also extracted. Rurality was derived using rural-urban commuting area codes. Broadband access was estimated using the 2015-2019 American Community Survey. Multiple logistic regression models tested the associations of these factors with portal access (ever accessed or never accessed) and persistence of portal use (accessed the portal ≤20 weeks vs ≥21 weeks in the 35-week study period). Results Of 28 942 eligible patients, 10 061 (35%) never accessed the portal. Male sex, membership in a racial and ethnic minority group, rural dwelling, not working, and limited broadband access were associated with lower odds of portal access. Younger age and more clinical encounters were associated with higher odds of portal access. Of those with portal access, 25% were persistent users. Using multiple modalities for portal access, being middle-aged, and having more clinical encounters were associated with persistent portal use. Conclusion Patient and structural factors affect portal access and use and may exacerbate disparities in electronic health record–based cancer symptom surveillance and management.
Predictors of electronic health record (EHR) portal registration and frequency of portal use among patients with cancer prior to engagement in the IMPACT Consortium symptom management trials.
Yanez, Betina R. , Flores, Ann Marie , Bian, Jessica , Hassett, Michael J. , Griffin, Joan M. , Wong, Sandra L. , Kroner, Barbara, Preiss, Liliana , Jensen, Roxanne E. , Smith, Ashley Wilder , Popovic, Jennifer R. , Austin, Jessica D. , Mitchell, Sandra A , Osarogiagbon, Raymond U. , Cheville, Andrea

Journal of Clinical Oncology | September 30, 2022 | Volume: 40 | Issue: 28_suppl | Pages: 419-419

10.1200/jco.2022.40.28_suppl.419 Get It

419 Background: The patient portal is part of an electronic health record (EHR) that allows patients to communicate with their healthcare team. The portal also provides a platform for patients to receive and complete symptom surveys that can be directly integrated into the EHR, allowing clinical care teams to monitor symptoms and provide cancer symptom management. The Improving Management of symPtoms during And following Cancer Treatment (IMPACT) consortium, supported by the National Cancer Institute’s Cancer MoonshotSM, aims to improve symptom control for cancer patients through assessment and symptom management interventions deployed via the EHR. This initiative presents an opportunity to examine portal enrollment and variation in use, factors critical to successful implementation, especially among groups that have high cancer symptom burden. To this end, we examine: 1) relationships between portal enrollment prior to the launch of IMPACT interventions and neighborhood broadband access, demographic, and social characteristics; and 2) frequency of pre-intervention portal use for any purpose among enrollees. Methods: Data are derived from two of three IMPACT research centers. Enrollment in and frequency of portal use, mode of accessing the portal (web vs. phone), social, demographic, and cultural factors were extracted from the EHR. Rural Urban Commuting Area (RUCA) codes were used to classify population density and degree of rurality. Broadband access was estimated using 2015-2019 American Community Survey estimates matched to zip codes from enrolled IMPACT patients and classified as a patient’s residence being in a community with high (≥85% of households) or low (< 85% of households) access. Bivariate comparisons and adjusted odds ratios were used to describe all associations. Results: Forty-seven percent of patients (22,596/48,034) were enrolled in the portal prior to the intervention. Patients in zip codes with low broadband access and those who were men, > 65 years old, not White, of Hispanic ethnicity, or disabled or not employed had significantly lower odds of being enrolled in the portal. If enrolled, 21% (n = 4825) used the portal at least once a week. Less variation was found in the average frequency of portal use, but patients younger than 40, and those who were Black, disabled, unemployed, or those who used a mobile device to access the portal had the lowest odds of accessing it at least once a week. Conclusions: Significant disparities in portal enrollment exist across demographic groups and among those with limited broadband access. Among those enrolled, most used the portal less than once a week. Fewer differences in frequency of use were observed by sociodemographic factors. Improving portal enrollment and frequency of use may be critical for symptom management interventions deployed via patient portals.
Lymphedema Signs, Symptoms, and Diagnosis in Women Who Are in Minority and Low-Income Groups and Have Survived Breast Cancer
Flores, Ann Marie , Nelson, Jason , Sowles, Lee, Stephenson, Rebecca G. , Robinson, K. , Sander, Antoinette P. , Blot, William J. , Cheville, Andrea

Physical Therapy | January 11, 2020 | Volume: 100 | Issue: 3 | Pages: 487-499

10.1093/ptj/pzaa002 Get It

Abstract Background Breast cancer–related lymphedema (BCRL) is a well-known side effect of cancer and its treatment with wide-ranging prevalence estimates. Objective This study describes associations between breast cancer–related lymphedema (BCRL) signs, symptoms, and diagnosis for women who were African American, white, or had a low income and survived breast cancer. Design This is a cross-sectional, observational study that used a computer-assisted telephone interview. Methods Women who had survived breast cancer were queried on the presence of 5 lymphedema signs and symptoms (edema in the breast, axilla, arm, and/or hand; tissue fibrosis; pitting; hemosiderin staining; heaviness) and whether they had a diagnosis of BCRL. Relationships between signs/symptoms and diagnosis for each group were evaluated with kappa and chi-square statistics. Results The study sample included 528 women who had survived breast cancer (266 white and 262 African American), with 514 reporting complete data on household income; 45% of the latter reported an annual household income of ≤$20,000. Women who were African American or had a low income were nearly twice as likely as women who were white to have any of 8 signs/symptoms of BCRL. Regardless of race and income, &gt;50% of women with all BCRL signs and symptoms reported that they were not diagnosed with BCRL. Limitations The main limitations of our study are the lack of medical chart data and longitudinal design. Conclusions Women who were African American or had a low income and had survived breast cancer had a greater burden of BCRL signs and symptoms than women who were white. The lack of a strong association between BCRL signs, symptoms, and diagnosis suggests that BCRL may be underdiagnosed. These findings suggest that more rigorous screening and detection of BCRL—especially for women who are African American or have a low income—may be warranted. Cancer rehabilitation programs may be able to fill this gap.