To evaluate real-world treatment patterns and clinical outcomes in recurrent/advanced endometrial cancer patients who progressed following prior systemic therapy in clinical practice in Europe.

Endometrial Cancer Health Outcomes-Europe (ECHO-EU) is a retrospective patient chart review study.

ECHO-EU is a multicentre study conducted in the UK, Germany, Italy, France and Spain.

Patients with recurrent/advanced endometrial cancer who progressed between 1 July 2016 and 30 June 2019 following prior first-line systemic therapy were eligible and data were collected until last available follow-up through November 2021.

Data collected included patient demographics, clinical and treatment characteristics, and clinical outcomes. Kaplan-Meier analyses were performed since initiation of second-line therapy to estimate time to treatment discontinuation, real-world progression-free survival (rwPFS) and overall survival (OS).

A total of 475 patients were included from EU5 countries. Median age was 69 years at advanced endometrial cancer diagnosis, 78.7% had stage IIIB–IV disease, 45.9% had Eastern Cooperative Oncology Group status ≥2 at second-line therapy initiation. In second line, a majority of patients initiated either non-platinum-based chemotherapy (55.6%) or endocrine therapy (16.2%). Physician-reported real-world overall response rate (classified as complete or partial response) to second-line therapy was 34.5%, median rwPFS was 7.4 months (95% CI 6.2 to 8.0) and median OS was 11.0 months (95% CI 9.9 to 12.3).

Patients had poor clinical outcomes with a median OS of

This study aimed (1) to examine the association between patient engagement with a bidirectional, semiautomated postdischarge texting programme and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey outcomes, readmissions and revisit rates in a large health system and (2) to describe operational and clinical flow considerations for implementing a postdischarge texting programme.

The study involved 1 main academic hospital (beds: 2500+) and 6 community hospitals (beds: 190–400, averaging 300 beds per hospital) in Houston, Texas.

Retrospective, observational cohort study between non-engaged patients (responded with 0–2 incoming text messages) and engaged patients (responded with 3+ incoming, patient-initiated text messages) between December 2022 and May 2023. We used the two-tailed t-test for continuous variables and ² test for categorical variables to compare the baseline characteristics between the two cohorts. For the binary outcomes, such as the revisit (1=yes, vs 0=no) and readmissions (1=yes vs 0=no), we constructed mixed effect logistic regression models with the random effects to account for repeated measurements from the hospitals. For the continuous outcome, such as the case mix index (CMI), a generalised linear quantile mixed effect model was built. All tests for significance were two tailed, using an alpha level of 0.05, and 95% CIs were provided. Significance tests were performed to evaluate the CMI and readmissions and revisit rates.

From 78 883 patients who were contacted over the course of this pilot implementation, 49 222 (62.4%) responded, with 39 442 (50%) responded with 3+ incoming text messages. The engaged cohort had higher HCAHPS scores in all domains compared with the non-engaged cohort. The engaged cohort used significantly fewer 30-day acute care resources, experiencing 29% fewer overall readmissions and 20% fewer revisit rates (23% less likely to revisit) and were 27% less likely to be readmitted. The results were statistically significant for all but two hospitals.

This study builds on the few postdischarge texting studies, and also builds on the patient engagement literature, finding that patient engagement with postdischarge texting can be associated with fewer acute care resources. To our knowledge, this is the only study that documented an association between a text-based postdischarge programme and HCAHPS scores, perhaps owing to the bidirectionality and ease with which patients could interact with nurses. Future research should explore the texting paradigms to evaluate their associated outcomes in a variety of postdischarge applications.