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1 – 2 of 2Georgia Watson, Cassie Moore, Fiona Aspinal, Andrew Hutchings, Rosalind Raine and Jessica Sheringham
Many countries have a renewed focus on health inequalities since COVID-19. In England, integrated care systems (ICSs), formed in 2022 to promote integration, are required to…
Abstract
Purpose
Many countries have a renewed focus on health inequalities since COVID-19. In England, integrated care systems (ICSs), formed in 2022 to promote integration, are required to reduce health inequalities. Integration is supported by population health management (PHM) which links data across health and care organisations to inform service delivery. It is not well-understood how PHM can help ICSs reduce health inequalities. This paper describes development of a programme theory to advance this understanding.
Design/methodology/approach
This study was conducted as a mixed-methods process evaluation in a local ICS using PHM. The study used Framework to analyse interviews with health and care professionals about a PHM tool, the COVID-19 vaccination uptake Dashboard. Quantitative data on staff Dashboard usage were analysed descriptively. To develop a wider programme theory, local findings were discussed with national PHM stakeholders.
Findings
ICS staff used PHM in heterogeneous ways to influence programme delivery and reduce inequalities in vaccine uptake. PHM data was most influential where it highlighted action was needed for “targetable” populations. PHM is more likely to influence decisions on reducing inequalities where data are trusted and valued, data platforms are underpinned by positive inter-organisational relationships and where the health inequality is a shared priority.
Originality/value
The COVID-19 pandemic accelerated a shift toward use of digital health platforms and integrated working across ICSs. This paper used an evaluation of integrated data to reduce inequalities in COVID-19 vaccine delivery to propose a novel programme theory for how integrated data can support ICS staff to tackle health inequalities.
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Natalie A. Mitchell, Tony Stovall and David Avalos
This paper aims to assess the representation of women of color (WOC) in the top 3 fashion magazines and explore the implications of underrepresentation within marketing…
Abstract
Purpose
This paper aims to assess the representation of women of color (WOC) in the top 3 fashion magazines and explore the implications of underrepresentation within marketing communications. The authors draw from diffusion theory and marketplace omission and commission to situate the research focus and highlight its application to the study findings.
Design/methodology/approach
A content analysis was conducted on 481 cover models on the top three fashion magazines of 2018 – Vogue, Cosmopolitan and Vanity Fair during 2006–2018.
Findings
The findings indicate WOC are underrepresented despite the strides of inclusion in the marketplace in America during a postracial period. Representation is as follows: white – 412 (86%); black – 41 (9%); Latina – 19 (3.9%); biracial 7 (1.5%); Asian – 1 (0.2%); and Native American – 1 (0.2%). Latina models had the lowest representation. Native and Asian women were completely excluded. When they do appear, black and Latina cover models are more likely than white models to be shown wearing sexually suggestive attire.
Practical implications
This study makes four recommendations to promote antiracism in marketing: diversify staff hiring and editorial decision-makers for public-facing talent; solicit counsel from multicultural marketing agencies; create antiracist marketing curriculum; and cultivate a pipeline of diverse talent for future hiring.
Originality/value
The originality of this paper centers its contribution to the dearth research investigating representation implications within the fashion marketing industry during an alleged post-racial period, and a longer time span. It also presents structured antiracist marketing solutions to mitigate underrepresentation.
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