Evaluation of cancer patient education and services

A Breast Cancer Smartphone App to Navigate the Breast Cancer Journey: Mixed Methods Study

BACKGROUND

Several mobile apps have been designed for patients with a diagnosis of cancer. Unfortunately, despite the promising potential and impressive spread, their effectiveness often remains unclear. Most mobile apps are developed without any medical professional involvement and quality evidence-based assessment. Furthermore, they are often implemented in clinical care before any research is performed to confirm usability, appreciation, and clinical benefits for patients.

OBJECTIVE

We aimed to develop a new smartphone app (Centro di Senologia della Svizzera Italiana [CSSI]) specifically designed by breast care specialists and patients together to help breast cancer patients better understand and organize their journey through the diagnosis and treatment of cancer. We describe the development of the app and present assessments to evaluate its feasibility, usefulness, and capability to improve patient empowerment.

METHODS

A mixed method study with brief longitudinal quantitative data collection and subsequent qualitative semistructured interviews was designed. Twenty breast cancer patients participated in the study (mean age 51 years, SD 10 years). The usability of the app, the user experience, and empowerment were measured after 1 month. The semistructured interviews measured the utility of the app and the necessary improvements.

RESULTS

The app received good responses from the patients in terms of positive perception of the purpose of the app (7/20, 35%), organizing the cure path and being aware of the steps in cancer management (5/20, 25%), facilitating doctor-patient communication (4/20, 20%), and having detailed information about the resources offered by the hospital (2/20, 10%). Correlation and regression analyses showed that user experience increased the level of empowerment of patients (B=0.31, 95% CI 0.22-0.69; P=.009). The interviews suggested the need to constantly keep the app updated and to synchronize it with the hospital's electronic agenda, and carefully selecting the best time to offer the tool to final users was considered crucial.

CONCLUSIONS

Despite the very small number of participants in this study, the findings demonstrate the potential of the app and support a fully powered trial to evaluate the empowering effect of the mobile health app. More data will be gathered with an improved version of the app in the second phase involving a larger study sample.

Associations Between Nonclinical Services and Patient-Experience Outcomes in US Acute Care Hospitals

Background:

Patient experience is an important measure of hospital quality and performance. Since the passage of the Affordable Care Act, patient experiences with their care encounters are embedded into the framework of payment incentives. However, drivers of patient experience in the context of the supportive, nonclinical, services that relate to patient care have not been as well understood.

Aims:

To assess the role of organizational factors on patient experience.

Methods:

This cross-sectional analysis integrates hospital patient-experience scores from Hospital Consumer Assessment of Healthcare Providers and Systems, and Centers for Medicaid and Medicare Service data from 2013 to 2015 (N = 3392). Based on hospitals with “top-box” responses, the aggregate proportion of hospital patients responding “always” on a Likert scale represented a top-box hospital. Domains were split at the mean for analysis (above average = 1). Multivariable logistic regression models for each domain were analyzed against hospital factors and services, including offering a patient education center, patient-enabling services, and language services.

Results:

Most hospitals reported a full-time hospitalist (64.4%) and a patient education center (60.4%), while fewer provided enabling/support services (33.7%). In multivariable models, small and medium hospitals performed better compared to the largest hospitals (300+ beds; P < .0001). Structurally, medium and small hospitals reported significantly greater odds of top-box patient-experience versus large hospitals. Across all domains, only hospitals with patient education centers returned better performance (adjusted odds ratio: 1.27-1.64; P = .0002-.0166).

Discussion/Conclusion:

Patient education centers provide relevant information at the point of service and may improve overall patient experience of care. Given the growing reliance on accountable care delivery models, opportunities to partner with community health education partners may be profitable.