2022 -2023
- Biopsychosocial Rehabilitation for Inflammatory Arthritis and Osteoarthritis Patients: A Systematic Review and Meta-Analysis of Randomized Trials. . Arthritis Care Res (Hoboken).
- Mum-Predict Group. Protocol for development and validation of postpartum cardiovascular disease (CVD) risk prediction model incorporating reproductive and pregnancy-related candidate predictors.
- Understanding parent experiences of end-of-life care for children: A systematic review and qualitative evidence synthesis.
- A qualitative evidence synthesis of patient perspectives on migraine treatment features and outcomes.
- Methodological developments from a US National Academies of Sciences, Engineering, and Medicine Committee.
- Interventions for and experiences of shared decision-making underpinning reproductive health, family planning options and pregnancy for women with or at high risk of kidney disease: a systematic review and qualitative framework synthesis.
- INTEGRATE: A methodology to facilitate critical care research using multiple, linked electronic health records at population scale.
- Built Environment and Child Health in Wales and Australia (BEACHES): a study protocol.
2021 -2022
- Synthesis of health promotion concepts in children’s palliative care. International Journal of Palliative Nursing.
- Assessing the efficacy of coproduction to better understand the barriers to achieving sustainability in NHS chronic kidney services and create alternate pathways. Health Expect.
- Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective.
- Concept Libraries for Repeatable and Reusable Research: Qualitative Study Exploring the Needs of Users. JMIR Hum Factors.
- The trials and tribulations of trial registration and reporting: Why are some nursing trials still slipping through the net?
- Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework
- Deriving household composition using population-scale Electronic Health Record data – a reproducible methodology.
- Protocol for the development of the Wales Multi-morbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multi-morbidity
2020
- How effective are population health surveys for estimating prevalence of chronic conditions compared to anonymised clinical data?
- Factors that impact on recruitment to randomised trials in health care: a qualitative evidence synthesis.
- A Profile of the SAIL Databank on the UK Secure Research Platform
- External validation of the electronic Frailty Index using the population of Wales within the Secure Anonymised Information Linkage Databank
2018/2019
- Systematic mapping of existing tools to appraise methodological strengths and limitations of qualitative research: first stage in the development of the CAMELOT tool
- Methodological standards for the development and evaluation of clinical prediction rules: A review of the literature.
- Improving Reporting of meta-ethnographjy: the eMERGe Reporting Guidance.
- A methodological systematic review of meta-ethnography conduct to articulate the complex analytical phases.
- Developing a reporting guideline to improve meta-ethnography in health research: the eMERGe mixed-methods study.
- Complex health interventions in complex systems: concepts and methods for evidence-informed health decisions.
- Taking account of context in systematic reviews and guidelines considering a complexity perspective.
- Formulating questions to explore complex interventions within qualitative evidence synthesis.
- Qualitative evidence synthesis for complex interventions and guideline development: clarification of the purpose, designs and relevant methods.
- Which studies should be registered on a clinical trials registry?
- Structured methodology review identified seven (RETREAT) criteria for selecting qualitative evidence synthesis approaches
- A case study in distributed team science in research using electronic health records
