Combined cancer patient-reported symptom and health utility tool for routine clinical implementation: a real-world comparison of the ESAS and EQ-5D in multiple cancer sites

Launching an Electronic Patient-Reported Outcomes Initiative in Real-Time Clinical Practice

Patient-reported outcomes play an essential role in improving care across the cancer continuum. This paper reports on the experience of a tertiary care center to standardize the use, collection, and reporting of patient-reported outcomes (PROs) in 10 disease-specific survivorship clinics. To minimize the burden of patients to complete surveys, an institutional committee with oversight on all patient surveys required an application be reviewed and approved before their distribution in a clinic. To begin collecting PROs, each clinic submitted an application tailored to its clinical operations, staffing, and scheduling characteristics. The dates for the submission of each application were staggered over a 2-year period, which contributed to a lack of uniformity in the project (ie, approval dates, start dates, collection and reporting of results). The delays were primarily due to the time and resources required to build the electronic version of the PRO survey into the institutional electronic medical record. To date, 6 of 10 survivorship clinics submitted applications, 5 were approved, and 4 launched the electronic MD Anderson Symptom Inventory (eMDASI) through the patient portal. Metrics collected between January 2019 and December 2020 for the thyroid, bone marrow transplant, genitourinary, and head and neck clinics indicated the numbers of eMDASIs sent to patients varied by clinic, with the lowest from the bone marrow transplant survivorship clinic (6) and the highest (746) in the thyroid Clinic. The total number of eMDASIs returned by the patients ranged from 2 (bone marrow transplant) to 429 (thyroid). Overall, patients' return rates of the eMDASI ranged from 33.3% to 57.7%. Several strategies were implemented to increase the delivery, submission, and completion of eMDASIs. Our findings indicate the integration and implementation of PROs in survivorship clinics are achievable. Further work is needed to enhance the ePROs web-based process to adequately compare PROs across diverse cohorts of cancer survivors .

Mapping the Edmonton Symptom Assessment System-Revised: Renal to the EQ-5D-5L in patients with chronic kidney disease

PURPOSE

The Edmonton Symptom Assessment System-Revised: Renal (ESAS-r: Renal) is a disease-specific patient-reported outcome measure (PROM) that assesses symptoms common in chronic kidney disease (CKD). There is no preference-based scoring system for the ESAS-r: Renal or a mapping algorithm to predict health utility values. We aimed to develop a mapping algorithm from the ESAS-r: Renal to the Canadian EQ-5D-5L index scores.

METHODS

We used data from a multi-centre cluster randomized-controlled trial of the routine measurement and reporting of PROMs in hemodialysis units in Northern Alberta, Canada. In two arms of the trial, both the ESAS-r: Renal and the EQ-5D-5L were administered to CKD patients undergoing hemodialysis. We used data from one arm for model estimation, and data from the other for validation. We explored direct and indirect mapping models; model selection was based on statistical fit and predictive power.

RESULTS

Complete data were available for 506 patient records in the estimation sample and 242 in the validation sample. All models tended to perform better in patients with good health, and worse in those with poor health. Generalized estimating equations (GEE) and generalized linear model (GLM) on selected ESAS-r: Renal items were selected as final models as they fitted the best in estimation and validation sample.

CONCLUSION

When only ESAS-r: Renal data are available, one could use GEE and GLM to predict EQ-5D-5L index scores for use in economic evaluation. External validation on populations with different characteristics is warranted, especially where renal-specific symptoms are more prevalent.

Prediction of breast cancer-related outcomes with the Edmonton Symptom Assessment Scale: A literature review

PURPOSE

The Edmonton Symptom Assessment Scale (ESAS) is a validated tool used in patients with varied cancer diagnoses to measure patient symptoms. The present manuscript will review the literature assessing the ability of the ESAS to predict patient-related outcomes in breast cancer patients.

METHODS

A literature search was conducted of Cochrane Central Register of Controlled Trials databases, Ovid MEDLINE, and Embase for English articles that investigated the use of predictive modelling with the ESAS in the breast cancer population. Study type, publication year, sample size, patient demographics, predicted outcomes, and strongest predictive factors/symptoms were summarized for each study.

RESULTS

A total of nine articles were included in this review. Five articles used the ESAS in predictive models to determine patient time to death. ESAS was also used to predict emergency department visits, determine symptoms associated with decreased quality of life, and generate a Health Utility Score. Lack of appetite was the most common ESAS symptom, as it was reported in five studies to be associated with decreased survival. In four of the nine articles, an additional survey investigating physical functioning was used in combination with ESAS to strengthen the predictive models.

CONCLUSIONS

Included studies support the use of ESAS in predictive models, particularly for predicting survival. Using the ESAS as a predictive tool allows for more accurate time to death predictions, potentially improving symptom management and preventing overtreatment of palliative patients near the end of life.