Improving the quality of palliative and terminal care in the hospital by a network of palliative care nurse champions: the study protocol of the PalTeC-H project

BACKGROUND: The quality of care of patients dying in the hospital is often judged as insufficient. This article describes the protocol of a study to assess the quality of care of the dying patient and the contribution of an intervention targeted on staff nurses of inpatient wards of a large university hospital in the Netherlands. METHODS/DESIGN: We designed a controlled before and after study. The intervention is the establishment of a network for palliative care nurse champions, aiming to improve the quality of hospital end-of-life care. Assessments are performed among bereaved relatives, nurses and physicians on seven wards before and after introduction of the intervention and on 11 control wards where the intervention is not applied. We focus on care provided during the last three days of life, covered in global ratings of the quality of life in the last three days of life and the quality of dying, and various secondary endpoints of treatment and care affecting quality of life and dying. DISCUSSION: With this study we aim to improve the understanding of and attention for patients’ needs, and the quality of care in the dying phase in the hospital and measure the impact of a quality improvement intervention targeted at nurses

Accentuating patient values in shared decision-making:A mixed methods development of an online value clarification tool and communication training in the context of early phase clinical cancer trials

Objective: In the shared decision-making (SDM) process for potential early phase clinical cancer trial participation, value clarification is highly recommended. However, exploration and discussion of patient values between patients and oncologists remains limited. This study aims to develop an SDM-supportive intervention, consisting of a preparatory online value clarification tool (OnVaCT) and a communication training. Methods: The OnVaCT intervention was developed and pilot-tested by combining theoretical notions on value clarification, with interview studies with patients and oncologists, focus groups with patient representatives and oncologists, and think aloud sessions with patients, following the Medical Research Council (MRC) framework for complex interventions. These human-centered methodologies enabled a user-centered approach at every step of the development process of the intervention. Results: This study shows relevant patient values and oncologists’ perspectives on value exploration and discussion in daily practice. This has been combined with theoretical considerations into the creation of characters based on real-life experiences of patients in the OnVaCT, and how the tool is combined with a communication training for oncologists to improve SDM

Identifying patient values impacting the decision whether to participate in early phase clinical cancer trials: a systematic review

Background For many patients with advanced cancer, the decision whether to participate in early phase clinical trials or not is complex. The decision-making process requires an in-depth discussion of patient values. We therefore aimed to synthesize and describe patient values that may affect early phase clinical trial participation. Methods We conducted a systematic search in seven electronic databases on patient values in relation to patients’ decisions to participate in early phase clinical cancer trials. Results From 3072 retrieved articles, eleven quantitative and five qualitative studies fulfilled our inclusion criteria. We extracted ten patient values that can contribute to patients’ decisions. Overall, patients who seek trial participation usually report hope, trust, quantity of life, altruism, perseverance, faith and/or risk tolerance as important values. Quality of life and humanity are main values of patients who refuse trial participation. Autonomy and social adherence can be reported by both trial seekers or refusers, dependent upon how they are manifested in a patient. Conclusions We identified patient values that frequently play a role in the decision-making process. In the setting of discussing early phase clinical trial participation with patients, healthcare professionals need to be aware of these values. This analysis supports the importance of individual exploration of values. Patients that become aware of their values, e.g. by means of interventions focused on clarifying their values, could feel more empowered to choose. Subsequently, healthcare professionals could improve their support in a patients’ decision-making process and reduce the chance of decisional conflict

Instability of Acylcarnitines in Stored Dried Blood Spots:The Impact on Retrospective Analysis of Biomarkers for Inborn Errors of Metabolism

Stored dried blood spots (DBS) can provide valuable samples for the retrospective diagnosis of inborn errors of metabolism, and for validation studies for newborn blood spot screening programs. Acylcarnitine species are subject to degradation upon long-term storage at room temperature, but limited data are available on the stability in original samples and the impact on acylcarnitine ratios. We analysed complete acylcarnitine profiles by flow-injection tandem mass spectrometry in 598 anonymous DBS stored from 2013 to 2017, at +4 degrees C during the first year and thereafter at room temperature. The concentrations of C2-, C3-, C4-, C5-, C6-, C8-, C10:1-, C10-, C12:1-, C12-, C14:1-, C14-, C16:1-, C16-, C18:2-, C18:1-, C18-, C5OH+C4DC-, C18:1OH-, and C16DC-carnitine decreased significantly, whereas a positive trend was found for free carnitine. Only the C4/C8-, C8/C10-, C14:1/C10- and C14:1/C16-carnitine ratios appeared robust for the metabolite instability. The metabolite instability may provoke the wrong interpretation of test results in the case of retrospective studies and risk the inaccurate estimation of cut-off targets in validation studies when only stored control DBS are used. We recommend including control DBS in diagnostic, retrospective cohort studies, and, for validation studies, we recommend using fresh samples and repeatedly re-evaluating cut-off targets