6 results on '"Piroddi, Roberta"'
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2. Identifying households with children who have complex needs: a segmentation model for integrated care systems.
- Author
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Piroddi, Roberta, Astbury, Andrea, Baker, Wesam, Daras, Kostantinos, Rafferty, Joe, Buchan, Iain, and Barr, Benjamin
- Abstract
Background: Adversity in childhood is increasing in the United Kingdom. Complex health and social problems affecting children cluster in families where adults also have high need, but services are rarely aligned to support the whole family. Household level segmentation can help identify households most needing integrated support. Thus, the aim was to develop a segmentation model to identify those households with children who have high levels of complex cross-sectoral needs, to use as a case-finding tool for health and social care services, and to describe characteristics of identified households, to inform service integration. Method: Working with stakeholders—in an English region of 2.7m population- we agreed a definition of families having complex needs which would benefit from service integration – including households with high intensity use, who had both physical and mental health problems amongst both adults and children and wider social risks. We then used individual and household linked data across multiple health and social care services to identify these households, providing an algorithm to be used in a case finding interface. Finally, to understand the needs of this segment, and to identify unmet need, to tailor support, we used descriptive statistics and Poisson regression to profile the segment and compare them with the rest of the population. Results: Twenty one thousand and five hundreds twenty seven households (8% of the population of the region) were identified with complex needs, including 89,631 people (41,382 children), accounting for 34% of health and social care costs for families with children, £362 million in total, of which 42% was on children in care of local authorities. The households had contact with 3–4 different services, had high prevalence of mental health problems, most frequently co-morbid with respiratory problems, with high mental health emergency service use particularly amongst teenage girls many of whom had no prior elective treatment for conditions. Conclusion: Our model provides a potentially useful tool for identifying households that could benefit from better integration of services and targeted family support that can help break intergenerational transfer of adversity. [ABSTRACT FROM AUTHOR]
- Published
- 2025
- Full Text
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3. Evaluating the impact of using mobile vaccination units to increase COVID-19 vaccination uptake in Cheshire and Merseyside, UK: a synthetic control analysis
- Author
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Zhang, Xingna, primary, Tulloch, John S P, additional, Knott, Shane, additional, Allison, Rachel, additional, Parvulescu, Paula, additional, Buchan, Iain E, additional, Garcia-Finana, Marta, additional, Piroddi, Roberta, additional, Green, Mark A, additional, Baird, Sophie, additional, and Barr, Ben, additional
- Published
- 2023
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4. Effects on mortality of shielding clinically extremely vulnerable patients in Liverpool, UK, during the COVID-19 pandemic
- Author
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Filipe, Luís, Barnett, Lauren A., Piroddi, Roberta, Buchan, Iain, Duckworth, Helen, Barr, Benjamin, Filipe, Luís, Barnett, Lauren A., Piroddi, Roberta, Buchan, Iain, Duckworth, Helen, and Barr, Benjamin
- Abstract
Objective This study evaluates the impact of England's COVID-19 shielding programme on mortality in the City of Liverpool in North West England. Study design Shielded and non-shielded people are compared using data from linked routine health records on all people registered with a general practitioner in Liverpool from April 2020 to June 2021. Methods A discrete time hazard model and interactions between the shielding status and the periods of higher risk of transmission are used to explore the effects of shielding across the major phases of the COVID-19 pandemic. Results Shielding was associated with a 34% reduction in the risk of dying (HR = 0.66, 95% CI: 0.58 to 0.76) compared with a propensity-matched non-shielded group. Shielding appeared to reduce mortality during the first and third waves, but not during the second wave, where shielding was not mandated by the government. The effects were similar for males and females, but more protective for those living in the least deprived areas of Liverpool. Conclusions It is likely that the shielding programme in Liverpool saved lives, although this seems to have been a little less effective in more deprived areas. A comprehensive programme for identifying vulnerable groups and providing them with advice and support is likely to be important for future respiratory virus pandemics. Additional support may be necessary for socio-economically disadvantaged groups to avoid increased inequalities.
- Published
- 2023
5. Using Manifold Embedding for Automatic Threat Detection: An Alternative Machine Learning Approach
- Author
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Piroddi, Roberta, Griffith, Elias, Goulermas, JYI, Maskell, Simon, and Ralph, Jason
6. Ethnicity and outcomes from COVID-19: the ISARIC CCP-UK prospective observational cohort study of hospitalised patients
- Author
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Harrison, Ewen M., Docherty, Annemarie B., Barr, Benjamin, Buchan, Iain, Carson, Gail, Drake, Tom M., Dunning, Jake, Fairfield, Cameron J., Gamble, Carrol, Green, Christopher A., Griffiths, Chris, Halpin, Sophie, Hardwick, Hayley E., Ho, Antonia, Holden, Karl A., Hollinghurst, Joe, Horby, Peter W., Jackson, Clare, Katikireddi, Srinivasa Vittal, Knight, Stephen, Lyons, Ronan, MacMahon, James, Mclean, Kenneth A., Merson, Laura, Murphy, Derek, Nguyen-Van-Tam, Jonathan S., Norman, Lisa, Olliaro, Piero L., Pareek, Manish, Piroddi, Roberta, Pius, Riinu, Read, Jonathan M., Russell, Clark D., Sattar, Naveed, Shaw, Catherine A., Sheikh, Aziz, Sinha, Ian P., Swann, Olivia, Taylor-Robinson, David, Thomas, Daniel, Turtle, Lance, Openshaw, Peter JM, Baillie, J. Kenneth, Semple, Malcolm G., and Scott, Janet T.
- Abstract
Background: Reports of ethnic inequalities in COVID-19 outcomes are conflicting and the reasons for any differences in outcomes are unclear. We investigated ethnic inequalities in critical care admission patterns, the need for invasive mechanical ventilation (IMV), and in-hospital mortality, among hospitalised patients with COVID-19. \ud \ud Methods: We undertook a prospective cohort study in which dedicated research staff recruited hospitalised patients with suspected/confirmed COVID-19 from 260 hospitals across England, Scotland and Wales, collecting data directly and from records between 6th February and 8th May 2020 with follow-up until 22nd May 2020. Analysis used hierarchical regression models accounting for confounding, competing risks, and clustering of patients in hospitals. Potential mediators for death were explored with a three-way decomposition mediation analysis. \ud \ud Findings: Of 34,986 patients enrolled, 30,693 (88%) had ethnicity recorded: South Asian (1,388, 5%), East Asian (266, 1%), Black (1,094, 4%), Other Ethnic Minority (2,398, 8%) (collectively Ethnic Minorities), and White groups (25,547, 83%). Ethnic Minorities were younger and more likely to have diabetes (type 1/type 2) but had fewer other comorbidities such as chronic heart disease or dementia than the White group. No difference was seen between ethnic groups in the time from symptom onset to hospital admission, nor in illness severity at admission. Critical care admission was more common in South Asian (odds ratio 1.28, 95% confidence interval 1.09 to 1.52), Black (1.36, 1.14 to 1.62), and Other Ethnic Minority (1.29, 1.13 to 1.47) groups compared to the White group, after adjusting for age, sex and location. This was broadly unchanged after adjustment for deprivation and comorbidities. Patterns were similar for IMV. Higher adjusted mortality was seen in the South Asian (hazard ratio 1.19, 1.05 to 1.36), but not East Asian (1.00, 0.74 to 1.35), Black (1.05, 0.91 to 1.26) or Other Ethnic Minority (0.99, 0.89 to 1.10) groups, compared to the White group. 18% (95% CI, 9% to 56%) of the excess mortality in South Asians was mediated by pre-existing diabetes. \ud \ud Interpretation: Ethnic Minorities in hospital with COVID-19 were more likely to be admitted to critical care and receive IMV than Whites, despite similar disease severity on admission, similar duration of symptoms, and being younger with fewer comorbidities. South Asians are at greater risk of dying, due at least in part to a higher prevalence of pre-existing diabetes. \ud \ud Trial Registration: The study was registered at https://www.isrctn.com/ISRCTN66726260. \ud \ud Funding Statement: This work is supported by grants from: the National Institute for Health Research [award CO-CIN-01], the Medical Research Council [grant MC_PC_19059] and by the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Emerging and Zoonotic Infections at University of Liverpool in partnership with Public Health England (PHE), in collaboration with Liverpool School of Tropical Medicine and the University of Oxford [NIHR award 200907], Wellcome Trust and Department for International Development [215091/Z/18/Z], and the Bill and Melinda Gates Foundation [OPP1209135], and Liverpool Experimental Cancer Medicine Centre for providing infrastructure support for this research (Grant Reference: C18616/A25153). JSN-V-T is seconded to the Department of Health and Social Care, England (DHSC).
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