Sex specific definitions of anaemia contribute to health inequity and sociomedical injustice

2022 ◽  
Vol 9 (1) ◽  
pp. e6-e8
Author(s):  
Angela C Weyand ◽  
Patrick T McGann ◽  
Michelle Sholzberg
Keyword(s):  
Author(s):  
Emily A. Benfer ◽  
David Vlahov ◽  
Marissa Y. Long ◽  
Evan Walker-Wells ◽  
J. L. Pottenger ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Stone ◽  
D e b Leyland

Abstract In New Zealand there are 20 district health boards (DHBs) with local elections every 3 years. There is low voter turnout for these, we suspect because the public has low cognizance of the role DHBs have in governing their health and disability system. Good governance ensures everyone whatever ethnicity, gender or sexual proclivity, from birth to old age, able or disabled, mentally well or unwell, drugfree or addicted, has equal rights of dignified access to healthcare. Without public engagement in DHB elections, the community risks having candidates elected that also don't understand their role through a preventative public health framework or human rights lens. The United Community Action Network (UCAN) developed a human rights framework and Health Charter for people driven into poverty by the costs of staying well in NZ. The framework outlines 6 social determinants of health needing protection through policy, to ensure all enjoy their rights to health. UCAN and the Public Health Association of New Zealand (PHA) partnered to raise public and the candidates' awareness during 2019 elections, of these social determinants causing inequity in health outcomes. A series of short explainer-videos were created for sharing through social media during the election build-up period, helping to promote PHA Branches' public Meet the Candidates events. Post-election, a longer film was produced to send to the elected DHB members. Our theory of change centred on spotlighting health inequity for voters, so that they would elect DHB members who had the greatest understanding and commitment to addressing this issue. With shareable videos we aimed to attract audience, raise awareness and debate the policy solutions to health inequity with candidates, enabling more informed choice amongst the voting public. Post-election, we maintain supportive relationships with the elected DHB members that promised their commitment to our Health Charter during their campaigns. Key messages Using videos and social media, local body elections provide an opportunity to promote everyone’s right to affordable healthcare, supporting and informing voter decision-making. UCAN's Health Charter is an advocacy resource for raising awareness of the social determinants of health inequity and poverty for people with mental illness, addiction and disability.


2021 ◽  
Vol 37 (2) ◽  
pp. 247-256
Author(s):  
Charles R. Senteio ◽  
Kaitlin E. Montague ◽  
Bettina Campbell ◽  
Terrance R. Campbell ◽  
Samantha Seigerman

The escalation of discourse on racial injustice prompts novel ideas to address the persistent lack of racial equity in LIS research. The underrepresentation of BIPOC perspectives contributes to the inequity. Applying the Community Based Participatory Research (CBPR) approach meaningfully engages BIPOC to help guide LIS investigations that identify evolving needs and concerns, such as how systematic racism may contribute to social justice issues like environmental and health inequity. Engaging with BIPOC, using the CBPR approach, can help address racial equity in LIS because it will result in increased racial representation which enables incorporation of the perspectives and priorities of BIPOC. This shift to greater engagement is imperative to respond to escalating attention to social injustice and ensure that these central issues are adequately reflected in LIS research. The discipline is positioned to help detail the drivers and implications of inequity and develop ways to address them. We underscore the importance of working across research disciplines by describing our CBPR experience engaging with BIPOC in LIS research. We highlight the perspectives of community partners who have over two decades of experience with community-based LIS research. We offer lessons learned to LIS researchers by describing the factors that make these initiatives successful and those which contribute to setbacks.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
William Greig Mitchell ◽  
Edward Christopher Dee ◽  
Leo Anthony Celi

AbstractCho et al. report deep learning model accuracy for tilted myopic disc detection in a South Korean population. Here we explore the importance of generalisability of machine learning (ML) in healthcare, and we emphasise that recurrent underrepresentation of data-poor regions may inadvertently perpetuate global health inequity.Creating meaningful ML systems is contingent on understanding how, when, and why different ML models work in different settings. While we echo the need for the diversification of ML datasets, such a worthy effort would take time and does not obviate uses of presently available datasets if conclusions are validated and re-calibrated for different groups prior to implementation.The importance of external ML model validation on diverse populations should be highlighted where possible – especially for models built with single-centre data.


2021 ◽  
Author(s):  
Timothy A. Carey ◽  
Sara J. Tai ◽  
Robert Griffiths
Keyword(s):  

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