Failed implementation of a nursing intervention to support family caregivers: An evaluation study using Normalization Process Theory.

AIM: To evaluate the failed implementation of the Carer Support Needs Assessment Tool Intervention for family caregivers in end-of-life care, within a trial context using Normalization Process Theory (NPT). DESIGN: An evaluation study was conducted to learn lessons from our trial, which was not successful due to the low number of participants. The evaluation study utilized various data sources, including published data from interviews and questionnaires, and unpublished data derived from emails and conversation notes. METHODS: Data were retrospectively collected. Thematic analysis was conducted guided by the NPT framework. This framework emphasizes that successful implementation of an intervention relies on its 'normalization', consisting of four constructs: coherence, cognitive participation, collective action and reflexive monitoring. RESULTS: Coherence (sense making): Nurses felt the intervention could contribute to their competence in assessing family caregivers' needs, but some were unsure how it differed from usual practice. Cognitive participation (relational work): Nurse champions played a crucial role in building a community of practice. However, sustaining this community was challenging due to staff turnover and shortages. Collective action (work done to enable the intervention): Nurses felt the Carer Support Needs Assessment Tool training enabled them to improve their support of family caregivers. However, contextual factors complicated implementation, such as being used to a patient rather than a family-focused approach and a high workload. Reflexive monitoring (appraisal of the intervention): Positive experiences of the nurses with the intervention motivated them to implement it. However, the research context made nurses hesitant to recruit family caregivers because of the potential burden of participation. CONCLUSION: Although the intervention demonstrated potential to assist nurses in providing tailored support to family caregivers, its integration into daily practice was not optimal. Contextual factors, such as a patient-focused approach to care and the research context, hampered normalization of the intervention. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Assessing and considering contextual factors that may influence implementation of a complex care intervention is needed. The NPT provided a valuable framework for evaluating the implementation process in our study. IMPACT: What problem did the study address? This evaluation study analysed the factors that promoted or hindered the implementation of a nursing intervention to support family caregivers in end-of-life care. What were the main findings? Both the intervention and the intervention training have potential and value for nurses in providing tailored support to family caregivers. However, the implementation faced challenges due to organizational factors and the research context, including recruitment. Where and on whom will the research have an impact? This insight is valuable for all stakeholders involved in implementing complex nursing interventions, including researchers, nurses and funders. REPORTING METHOD: This study has adhered to the relevant EQUATOR guidelines: Standards for Reporting Qualitative Research (SRQR). PATIENT OR PUBLIC CONTRIBUTION: There was no patient or public involved. TRIAL REGISTRATION: The trial was prospectively registered on the Dutch Trial Register (NL7702).

A qualitative study on redefining normality in relatives of patients with advanced cancer.

OBJECTIVE: To obtain insight into adaptation processes of redefining normality and its influencing factors in relatives of patients with advanced cancer. METHODS: An exploratory qualitative study among relatives of patients with advanced cancer was conducted. Participants were purposively recruited. Ten in-depth individual (relative only) and 16 dyad (relative and patient together) interviews were conducted, transcribed verbatim, and analyzed by means of thematic analysis, drawing on elements of grounded theory, combining both inductive and deductive elements. RESULTS: Two adaptation processes of (redefining) normality were identified: assimilation and accommodation. The latter was found to be the main way of adapting to new events. Assimilative coping strategies entailed "continuing to do the same activities as done before the disease," "difficulty accepting the situation," "avoiding to think about the disease," and "living in the short term." Accommodative strategies involved "arranging practical matters," "thinking about the future," "doing what is feasible," "engaging in new activities," "accepting the situation," "seeking distraction," "living in the short term," and "focusing on what truly matters in life." The interplay between the diagnosis and treatment of cancer, a deteriorating disease status, and the accompanying uncertainty about the future was of influence on the relatives' coping strategies. CONCLUSION: When the new situation is too divergent to assimilate, accommodation may be necessary for relatives to cope with the growing complexity of the consequences of their loved one's illness. Accommodative coping then involves accepting the changing reality and actively making the necessary adjustments to build resilience and cope with the new circumstances.

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.

Improving the cancer patient journey and respecting personal preferences: an overview of the 4D PICTURE project The 4D PICTURE project aims to help cancer patients, their families and healthcare providers better undertstand their options. It supports their treatment and care choices, at each stage of disease, by drawing on large amounts of evidence from different types of European data. The project involves experts from many different specialist areas who are based in nine European countries. The overall aim is to improve the cancer patient journey and ensure personal preferences are respected.