Using new evidence synthesis techniques to explore health and care inequalities among Lesbian, Gay, Bisexual and Transgender people (360G-Wellcome-207986_Z_17_Z)
This proposal will utilise a developing approach to synthesising existing quantitative data in order to substantially enhance the evidence-base around health, wellbeing and care inequalities among Lesbian, Gay, Bisexual and Transgender (LGBT) people. The aims of this project are to: Review the potential of nationally representative UK datasets for individual participant data meta-analysis on the health, wellbeing and care states of LGBT people in the UK Apply individual participant data meta-analysis, to develop robust estimates around LGBT health, wellbeing and care needs and inequalities. The analysis will first focus on four target measures of general health, alcohol consumption, mental wellbeing, and provision and receipt of social care among older LGBT people. Develop policy and research recommendations arising from the modelling. By combining evidence from multiple datasets we expect to show representative findings for LGBT outcomes (including statistically significant differences) that we would otherwise not have sufficient power to detect if modelling within individual datasets alone. Develop a network collaborators to expand the approach trialled above, creating a stronger evidence base of LGBT health and care needs across different age groups, intersectionalities, and also across international settings including low and middle income countries.
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Grant Details
Amount Awarded | 50239 |
Applicant Surname | Kneale |
Approval Committee | Seed Committee, Humanities and Social Science |
Award Date | 2017-05-24T00:00:00+00:00 |
Financial Year | 2016/17 |
Grant Programme: Title | Seed Award in H&SS |
Internal ID | 207986/Z/17/Z |
Lead Applicant | Dr Dylan Kneale |
Partnership Value | 50239 |
Planned Dates: End Date | 2018-11-01T00:00:00+00:00 |
Planned Dates: Start Date | 2017-11-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | Greater London |