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Outputs (32)

The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA). (2025)
Journal Article
Singh, B. M., Kumari-Dewat, N., Klaire, V., Lampitt, J., Palmer, A., Ryder, A., Ahmed, K., Sidhu, M., Jennens, H., Viswanath, A., & Parry, E. (2025). The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA). EBioMedicine, 115(May 2025), Article 105682. https://doi.org/10.1016/j.ebiom.2025.105682

Current methods for identifying end-of-life cannot be applied systematically to large populations. We have developed, tested, validated a mortality probability algorithm with that level of scalability. This was a prospective whole adult population co... Read More about The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA)..

Sequence Analysis to Phenotype Healthcare Patterns in Adults with Musculoskeletal Conditions Using Primary Care Electronic Health Records (2025)
Journal Article
Mathew, S., Peat, G., Parry, E., Wilkie, R., Jordan, K. P., Hill, J. C., & Yu, D. (in press). Sequence Analysis to Phenotype Healthcare Patterns in Adults with Musculoskeletal Conditions Using Primary Care Electronic Health Records. Arthritis Care & Research, 1-29. https://doi.org/10.1002/acr.25514

ObjectiveThe aim of this study was to apply sequence analysis (SA) to phenotype healthcare patterns of adult patients with musculoskeletal (MSK) conditions using primary care electronic health records and to investigate the association between these... Read More about Sequence Analysis to Phenotype Healthcare Patterns in Adults with Musculoskeletal Conditions Using Primary Care Electronic Health Records.

Developing an electronic Surprise Question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions (2025)
Journal Article
Singh, B., Kumari-Dewat, N., Ryder, A., Klaire, V., Jennens, H., Ahmed, K., Sidhu, M., Viswanath, A., & Parry, E. (2025). Developing an electronic Surprise Question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions. Clinical Medicine, Article 100292. https://doi.org/10.1016/j.clinme.2025.100292

Objective
Determining the accuracy of a method calculating the Gold Standards Framework Surprise Question (GSFSQ) equivalent end-of-life prognosis amongst hospital inpatients.
Design
A prospective cohort study with regression calculated 1-year mor... Read More about Developing an electronic Surprise Question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions.

Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study (2024)
Journal Article
Parry, E., Ahmed, K., Guest, E., Klaire, V., Koodaruth, A., Labutale, P., Matthews, D., Lampitt, J., Nevill, A., Pickavance, G., Sidhu, M., Warren, K., & Singh, B. M. (2024). Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study. BMC Medical Informatics and Decision Making, 24(1), Article 382. https://doi.org/10.1186/s12911-024-02797-5

Background: Numerous tools based on electronic health record (EHR) data that predict risk of unscheduled care and mortality exist. These are often criticised due to lack of external validation, potential for low predictive ability and the use of thre... Read More about Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study.

269 CLINICAL GUIDELINE RESEARCH RECOMMENDATIONS FOR THE NON-SURGICAL MANAGEMENT OF OSTEOARTHRITIS: A THEMATIC SYNTHESIS. (2024)
Presentation / Conference Contribution
Woodcock, C., English, E., Jinks, C., Healey, E. L., Parry, E., Paskins, Z., Roddy, E., Simkins, J., Thomas, M., Bennell, K., Hinman, R. S., & Holden, M. (2024, April). 269 CLINICAL GUIDELINE RESEARCH RECOMMENDATIONS FOR THE NON-SURGICAL MANAGEMENT OF OSTEOARTHRITIS: A THEMATIC SYNTHESIS. Poster presented at 2024 OARSI World Congress on Osteoarthritis, Vienna, Austria

Social needs screening in primary care: A tool in the fight for health equity? (2024)
Journal Article
Painter, H., Parry, E., McCann, L., Dehn Lunn, A., & Ford, J. (2024). Social needs screening in primary care: A tool in the fight for health equity?. Public Health in Practice, 7, Article 100466. https://doi.org/10.1016/j.puhip.2024.100466

Progress on addressing health inequalities is slow and in many places around the world the gap between the privileged and the disadvantaged is widening. This is driven largely by an unfair and unequal distribution of the social determinants of health... Read More about Social needs screening in primary care: A tool in the fight for health equity?.

Impact of Sickle Cell Awareness Day on online health information seeking in Africa using Google Trends (2023)
Journal Article
Parry, E., Ayinla-Jimoh, I., & Shepherd, T. A. (2023). Impact of Sickle Cell Awareness Day on online health information seeking in Africa using Google Trends. Health Promotion International, 38(6), 1-9. https://doi.org/10.1093/heapro/daad152

The United Nations Council Assembly recognized sickle cell disease (SCD) as a global public health problem due to its increasing burden, particularly in sub-Saharan Africa. To raise awareness, a resolution was adopted, designating June 19th as SCD aw... Read More about Impact of Sickle Cell Awareness Day on online health information seeking in Africa using Google Trends.

Applying sequence analysis to uncover ‘real-world’ clinical pathways from routinely collected data: a systematic review (2023)
Journal Article
Mathew, S., Peat, G., Parry, E., Singh Sokhal, B., & Yu, D. (2024). Applying sequence analysis to uncover ‘real-world’ clinical pathways from routinely collected data: a systematic review. Journal of Clinical Epidemiology, 111226. https://doi.org/10.1016/j.jclinepi.2023.111226

Objective

This systematic review aims to elucidate the methodological practices and reporting standards associated with sequence analysis (SA) for the identification of clinical pathways in real-world scenarios, using routinely collected data.
St... Read More about Applying sequence analysis to uncover ‘real-world’ clinical pathways from routinely collected data: a systematic review.