Creating more comparable cohorts in observational palliative care studies: A proposed framework to improve applicability and replicability of research

Author:

Kochovska Slavica1,Murtagh Fliss EM2ORCID,Agar Meera3,Phillips Jane L4,Dudgeon Deborah5,Lujic Sanja6,Johnson Miriam J2ORCID,Currow David C1ORCID

Affiliation:

1. Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia

2. Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK

3. IMPACCT, Faculty of Health, University of Technology Sydney, Ultimo, NSW, Australia

4. School of Nursing, Faculty of Health, University of Technology Queensland, Brisbane, QLD, Australia

5. Department of Medicine, Queen’s University, Kingston, ON, Canada

6. Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia

Abstract

Background: Palliative care is characterised by heterogeneous patient and caregiver populations who are provided care in different health systems and a research base including a large proportion of observational, mostly retrospective studies. The inherent diversity of palliative care populations and the often inadequate study descriptions challenge the application of new knowledge into practice and reproducibility for confirmatory studies. Being able to define systematically study populations would significantly increase their generalisability and effective translation into practice. Proposal: Based on an informal consensus process by active palliative care researchers challenged by this problem and a review of the current evidence, we propose an approach to creating more comparable cohorts in observational (non-randomised) palliative care studies that relies on defining the study population in relation to a fixed, well-defined event from which analyses are built (‘anchoring’). In addition to providing a detailed and complete description of the study population, anchoring is the critical step in creating more comparable cohorts in observational palliative care studies. Anchoring can be done with respect to a single or multiple data points, and can support both prospective and retrospective data collection and analysis. Discussion: Anchoring the cohort to reproducible data points will help create more comparable cohorts in palliative care whilst mitigating its inherent heterogeneity. This, in turn, will help optimise the generalisability, applicability and reproducibility of observational palliative care studies to strengthen the evidence base and improve practice.

Funder

university of wollongong

Publisher

SAGE Publications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessing the feasibility of observational data sources for multicenter clinical studies;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

2. HealthDBFinder: a question-answering task for health database discovery;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

3. Research methods in palliative care;Palliative Medicine;2024-06

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