US and Dutch Perspectives on the Use of COVID-19 Clinical Prediction Models: Findings from a Qualitative Analysis

The impact of elexacaftor/tezacaftor/ivacaftor on cystic fibrosis health-related quality of life and decision-making about daily treatment regimens: a mixed methods exploratory study

Background

Elexacaftor/tezacaftor/ivacaftor (ETI) has reduced many symptoms of cystic fibrosis (CF).

Objectives

We sought to identify the impact of ETI on both symptoms and treatment decisions among adults with CF.

Design

Participants were enrolled in a cross-sectional study. Surveys were sent via a RedCap link. Semistructured interviews were administered remotely via Microsoft Teams. Interviews were audio recorded and professionally transcribed.

Methods

We assessed Cystic Fibrosis Questionnaire-Revised (CFQ-R) subscales for physical, respiratory, emotion, and treatment, and analyzed semistructured interviews covering CF treatment regimens and daily living. Quantitative and qualitative results were analyzed separately and via a mixed-methods convergence coding matrix.

Results

Twenty-four adults with CF taking ETI were included. CFQ-R subscale scores (mean scores/standard deviation) were physical (82.1/22.8), respiratory (83.7/11.2), emotion (65.3/14.2), and treatment (57.5/20.1). Three themes about decision-making for non-ETI-treatments emerged: (1) How I'm feeling, (2) Not noticing a difference, and (3) Uncertainty about long-term impact of modifying treatment regimens, and we found participants weighed each of these factors in their treatment decisions. Key findings from mixed-methods analysis show that among individuals experiencing higher CFQ-R scores for physical and respiratory compared to emotion and treatment, there were statements indicating that while those participants were experiencing better physical health, many continued their burdensome treatment regimens.

Conclusion

With little long-term data on the impact of reducing non-ETI treatments, participants weighed how they were feeling, treatment efficacy beliefs, and risk tolerance when making treatment decisions.

Improving shared decision-making about cancer treatment through design-based data-driven decision-support tools and redesigning care paths: an overview of the 4D PICTURE project

Background

Patients with cancer often have to make complex decisions about treatment, with the options varying in risk profiles and effects on survival and quality of life. Moreover, inefficient care paths make it hard for patients to participate in shared decision-making. Data-driven decision-support tools have the potential to empower patients, support personalized care, improve health outcomes and promote health equity. However, decision-support tools currently seldom consider quality of life or individual preferences, and their use in clinical practice remains limited, partly because they are not well integrated in patients' care paths.

Aim and objectives

The central aim of the 4D PICTURE project is to redesign patients' care paths and develop and integrate evidence-based decision-support tools to improve decision-making processes in cancer care delivery. This article presents an overview of this international, interdisciplinary project.

Design methods and analysis

In co-creation with patients and other stakeholders, we will develop data-driven decision-support tools for patients with breast cancer, prostate cancer and melanoma. We will support treatment decisions by using large, high-quality datasets with state-of-the-art prognostic algorithms. We will further develop a conversation tool, the Metaphor Menu, using text mining combined with citizen science techniques and linguistics, incorporating large datasets of patient experiences, values and preferences. We will further develop a promising methodology, MetroMapping, to redesign care paths. We will evaluate MetroMapping and these integrated decision-support tools, and ensure their sustainability using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework. We will explore the generalizability of MetroMapping and the decision-support tools for other types of cancer and across other EU member states.

Ethics

Through an embedded ethics approach, we will address social and ethical issues.

Discussion

Improved care paths integrating comprehensive decision-support tools have the potential to empower patients, their significant others and healthcare providers in decision-making and improve outcomes. This project will strengthen health care at the system level by improving its resilience and efficiency.