Vicky Short

MORECare research methods guidance development: Recommendations for ethical issues in palliative and end-of-life care research

Background: There is little guidance on the particular ethical concerns that research raises with a palliative care population. Aim: To present the process and outcomes of a workshop and consensus exercise on agreed best practice to accommodate ethical issues in research on palliative care. Design: Consultation workshop using the MORECare Transparent Expert Consultation approach. Prior to workshops, participants were sent overviews of ethical issues in palliative care. Following the workshop, nominal group techniques were used to produce candidate recommendations. These were rated online by participating experts. Descriptive statistics were used to analyse agreement and consensus. Narrative comments were collated. Setting/participants: Experts in ethical issues and palliative care research were invited to the Cicely Saunders Institute in London. They included senior researchers, service providers, commissioners, researchers, members of ethics committees and policy makers. Results: The workshop comprised 28 participants. A total of 16 recommendations were developed. There was high agreement on the issue of research participation and high to moderate agreement on applications to research ethics committees. The recommendations on obtaining and maintaining consent from patients and families were the most contentious. Nine recommendations were refined on the basis of the comments from the online consultation. Conclusions: The culture surrounding palliative care research needs to change by fostering collaborative approaches between all those involved in the research process. Changes to the legal framework governing the research process are required to enhance the ethical conduct of research in palliative care. The recommendations are relevant to all areas of research involving vulnerable adults.

Recommendations for managing missing data, attrition and response shift in palliative and end-of-life care research: Part of the MORECare research method guidance on statistical issues

Background: Statistical analysis in palliative and end-of-life care research can be problematic due to high levels of missing data, attrition and response shift as disease progresses. Aim: To develop recommendations about managing missing data, attrition and response shift in palliative and end-of-life care research data. Design: We used the MORECare Transparent Expert Consultation approach to conduct a consultation workshop with experts in statistical methods in palliative and end-of-life care research. Following presentations and discussion, nominal group techniques were used to produce recommendations about attrition, missing data and response shift. These were rated online by experts and analysed using descriptive statistics for consensus and importance. Results: In total, 20 participants attended the workshop and 19 recommendations were subsequently ranked. There was broad agreement across recommendations. The top five recommendations were as follows: A taxonomy should be devised to define types of attrition. Types and amount of missing data should be reported with details of imputation methods. The pattern of missing data should be investigated to inform the imputation approach. A statistical analysis plan should be pre-specified in the protocol. High rates of attrition should be assumed when planning studies and specifying analyses. The leading recommendation for response shift was for more research. Conclusions: When designing studies in palliative and end-of-life care, it is recommended that high rates of attrition should not be seen as indicative of poor design and that a clear statistical analysis plan is in place to account for missing data and attrition.

Mixed Methods Research in the Development and Evaluation of Complex Interventions in Palliative and End-of-Life Care: Report on the MORECare Consensus Exercise

BACKGROUND Complex interventions are common in palliative and end-of-life care. Mixed methods approaches sit well within the multiphase model of complex intervention development and evaluation. Generic mixed methods guidance is useful but additional challenges in the research design and operationalization within palliative and end-of-life care may have an impact on the use of mixed methods. OBJECTIVE The objective of the study was to develop guidance on the best methods for combining quantitative and qualitative methods for health and social care intervention development and evaluation in palliative and end-of-life care. METHODS A one-day workshop was held where experts participated in facilitated groups using Transparent Expert Consultation to generate items for potential recommendations. Agreement and consensus were then sought on nine draft recommendations (DRs) in a follow-up exercise. RESULTS There was at least moderate agreement with most of the DRs, although consensus was low. Strongest agreement was with DR1 (usefulness of mixed methods to palliative and end-of-life care) and DR5 (importance of attention to respondent burden), and least agreement was with DR2 (use of theoretical perspectives) and DR6 (therapeutic effects of research interviews). Narrative comments enabled recommendation refinement. Two fully endorsed, five partially endorsed, and two refined DRs emerged. The relationship of these nine to six key challenges of palliative and end-of-life care research was analyzed. CONCLUSIONS There is a need for further discussion of these recommendations and their contribution to methodology. The recommendations should be considered when designing and operationalizing mixed methods studies of complex interventions in palliative care, and because they may have wider relevance, should be considered for other applications.

Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis

Introduction People with rheumatoid arthritis (RA) frequently report reduced health-related quality of life (HRQoL), the impact one’s health has on physical, emotional and social well-being. There are likely numerous causes for poor HRQoL, but people with RA have identified sleep disturbances as a key contributor to their well-being. This study will identify sleep/wake rhythm-associated parameters that predict HRQoL in patients with RA. Methods and analysis This prospective cohort study will recruit 350 people with RA, aged 18 years or older. Following completion of a paper-based baseline questionnaire, participants will record data on 10 symptoms including pain, fatigue and mood two times a day for 30 days using a study-specific mobile application (app). A triaxial accelerometer will continuously record daytime activity and estimate evening sleep parameters over the 30 days. Every 10 days following study initiation, participants will complete a questionnaire that measures disease specific (Arthritis Impact Measurement Scale 2-Short Form (AIMS2-SF)) and generic (WHOQOL-BREF) quality of life. A final questionnaire will be completed at 60 days after entering the study. The primary outcomes are the AIMS2-SF and WHOQOL-BREF. Structural equation modelling and latent trajectory models will be used to examine the relationship between sleep/wake rhythm-associated parameters and HRQoL, over time. Ethics and dissemination Results from this study will be disseminated at regional and international conferences, in peer-reviewed journals and Patient and Public Engagement events, as appropriate.