Integration of Health Questionnaire Systems to Facilitate Supportive Care Services for Patients at an Academic Breast Care Center

Examining disparities in large-scale patient-reported data capture using digital tools among cancer patients at clinical intake

BACKGROUND

Patient-reported data can improve quality of healthcare delivery and patient outcomes. Moffitt Cancer Center ("Moffitt") administers the Electronic Patient Questionnaire (EPQ) to collect data on demographics, including sexual orientation and gender identity (SOGI), medical history, cancer risk factors, and quality of life. Here we investigated differences in EPQ completion by demographic and cancer characteristics.

METHODS

An analysis including 146,142 new adult patients at Moffitt in 2009-2020 was conducted using scheduling, EPQ and cancer registry data. EPQ completion was described by calendar year and demographics. Logistic regression was used to estimate associations between demographic/cancer characteristics and EPQ completion. More recently collected information on SOGI were described.

RESULTS

Patient portal usage (81%) and EPQ completion rates (79%) were consistently high since 2014. Among patients in the cancer registry, females were more likely to complete the EPQ than males (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.14-1.20). Patients ages 18-64 years were more likely to complete the EPQ than patients aged ≥65. Lower EPQ completion rates were observed among Black or African American patients (OR = 0.59, 95% CI = 0.56-0.63) as compared to Whites and among patients whose preferred language was Spanish (OR = 0.40, 95% CI = 0.36-0.44) or another language as compared to English. Furthermore, patients with localized (OR = 1.16, 95% CI = 1.12-1.19) or regional (OR = 1.16, 95% CI = 1.12-1.20) cancer were more likely to complete the EPQ compared to those with metastatic disease. Less than 3% of patients self-identified as being lesbian, gay, or bisexual and <0.1% self-identified as transgender, genderqueer, or other.

CONCLUSIONS

EPQ completion rates differed across demographics highlighting opportunities for targeted process improvement. Healthcare organizations should evaluate data acquisition methods to identify potential disparities in data completeness that can impact quality of clinical care and generalizability of self-reported data.

A case-case analysis of women with breast cancer: predictors of interval vs screen-detected cancer

PURPOSE

The Breast Cancer Surveillance Consortium (BCSC) model is a widely used risk model that predicts 5- and 10-year risk of developing invasive breast cancer for healthy women aged 35-74 years. Women with high BCSC risk may also be at elevated risk to develop interval cancers, which present symptomatically in the year following a normal screening mammogram. We examined the association between high BCSC risk (defined as the top 2.5% by age) and breast cancers presenting as interval cancers.

METHODS

We conducted a case-case analysis among women with breast cancer in which we compared the mode of detection and tumor characteristics of patients in the top 2.5% BCSC risk by age with age-matched (1:2) patients in the lower 97.5% risk. We constructed logistic regression models to estimate the odds ratio (OR) of presenting with interval cancers, and poor prognosis tumor features, between women from the top 2.5% and bottom 97.5% of BCSC risk.

RESULTS

Our analysis included 113 breast cancer patients in the top 2.5% of risk for their age and 226 breast cancer patients in the lower 97.5% of risk. High-risk patients were more likely to have presented with an interval cancer within one year of a normal screening, OR 6.62 (95% CI 3.28-13.4, p < 0.001). These interval cancers were also more likely to be larger, node positive, and higher stage than the screen-detected cancers.

CONCLUSION

Breast cancer patients in the top 2.5% of BCSC risk for their age were more likely to present with interval cancers. The BCSC model could be used to identify healthy women who may benefit from intensified screening.

Assessing preferences for receiving supportive care resources among patients seen at a Breast Care Center

BACKGROUND

Patients with breast cancer or at high risk for breast cancer have supportive care needs. Although cancer centers offer social, psychological, and other support to these patients, these services are not always utilized, and patients continue to report unmet supportive care needs. Reasons for non-utilization of these services have not been well documented. In this analysis, we examine patient reasons for service non-utilization and evaluate patients' interest in receiving information about and paying for other supportive care services.

METHODS

Study participants were contacted by email 7-14 months following appointments at the University of California, San Francisco (UCSF) Breast Care Center (BCC) and were invited to complete a 26-question survey about supportive care utilization at UCSF.

RESULTS

In total, 195 patients (45%) completed surveys. Of these, 68% had breast cancer. Among patients with breast cancer, fewer than half completed appointments with psychological services. Lack of self-perceived need was the primary reason patients did not pursue psychological services. Overall, 61% of participants were interested in learning more about psychological services, 27% in nutrition counseling, and 20% in exercise counseling. Participants were more interested in individual counseling than in group counseling but were less interested in paying for services.

CONCLUSION

Patients often feel that they do not need supportive services. Breast cancer patients are interested in learning more about psychological services, exercise counseling, and nutrition counseling. Although many cancer centers offer group coaching and counseling sessions on these topics, patients may be more willing to engage in individual counseling.