Outputs (7)

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.

Recognising and managing osteoarthritis flares in primary care. (2023)
Journal Article
Parry, E., Walker, C., & Thomas, M. J. (in press). Recognising and managing osteoarthritis flares in primary care. BMJ, 383, Article e076455. https://doi.org/10.1136/bmj-2023-076455

A prediction algorithm to improve the accuracy of the Gold Standard Framework Surprise Question end-of-life prognostic categories in an acute hospital admission cohort-controlled study. The Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA) (2023)
Other
Singh, B., Kumari-Dewat, N., Ryder, A., Klaire, V., Bennion, G., Jennens, H., …Parry, E. (2023). A prediction algorithm to improve the accuracy of the Gold Standard Framework Surprise Question end-of-life prognostic categories in an acute hospital admission cohort-controlled study. The Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA). [preprint]

Objective To determine the accuracy of a clinical data algorithm allocated end-of-life prognosis amongst hospital inpatients.

Method The model allocated a predicted Gold Standard Framework end-of-life prognosis to all acute medical patients admitt... Read More about A prediction algorithm to improve the accuracy of the Gold Standard Framework Surprise Question end-of-life prognostic categories in an acute hospital admission cohort-controlled study. The Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life (PRADA).

Integration of social determinants of health information within the primary care electronic health record: a systematic review of patient perspectives and experiences (2023)
Journal Article
Arroyave Caicedo, N. M., Parry, E., Arslan, N., & Park, S. (2023). Integration of social determinants of health information within the primary care electronic health record: a systematic review of patient perspectives and experiences. British Journal of General Practice Open (BJGP Open), 8(1), Article 0155. https://doi.org/10.3399/BJGPO.2023.0155

Social determinants of health (SDOH) are the non-medical factors that impact health. Although geographical measures of deprivation are used, individual measures of social risk could identify those most at risk and generate more personalised care and... Read More about Integration of social determinants of health information within the primary care electronic health record: a systematic review of patient perspectives and experiences.

Digital health and inpatient palliative care: a cohort-controlled study (2023)
Report
Singh, B. M., Kumari-Dewat, N., Ryder, A., Parry, E., Klaire, V., Matthews, D., …Warren, K. (2023). Digital health and inpatient palliative care: a cohort-controlled study. BMJ

Objectives End of life has unacceptable levels of hospital admission and death. We aimed to determine the association of a novel digital specific system (Proactive Risk-Based and Data-Driven Assessment of Patients at the End of Life, PRADA) to modify... Read More about Digital health and inpatient palliative care: a cohort-controlled study.

GP assessment of unmet need in a complex multimorbid population using a data-driven and clinical triage system: a prospective cohort study (2023)
Journal Article
Parry, E., Ahmed, K., Evans, S., Guest, E., Klaire, V., Koodaruth, A., …Singh, B. (2023). GP assessment of unmet need in a complex multimorbid population using a data-driven and clinical triage system: a prospective cohort study. British Journal of General Practice Open (BJGP Open), 7(4), https://doi.org/10.3399/BJGPO.2023.0078

Patients with unmet healthcare needs are more likely to access unscheduled care. Identifying these patients through data driven and clinical risk stratification for active case management in primary care can help address patient need and reduce deman... Read More about GP assessment of unmet need in a complex multimorbid population using a data-driven and clinical triage system: a prospective cohort study.