NIHR Global Health Research - collecting diversity data

NIHR invites you to help shape their approach to diversity and inclusivity within NIHR Global Health Research (GHR) funding.

NIHR wants to make sure that their approach to collecting diversity data from applicants, award holders, and committee members is effective, appropriate, and reflects the settings where global health research takes place.

Please complete NIHR’s survey on the collection of diversity data in Global Health Research to be part of informing our approach. The value of your insights and your time are greatly appreciated.

Please note: this survey is not about collecting data from research participants (research volunteers or subjects). Please answer the questions thinking about collecting data from those who apply or receive research funding and those who take part in our committees. 

More details & background from survey page:

Diversity data of global health stakeholders

The National Institute for Health Research (NIHR) is committed to promoting equality, diversity and inclusion and addressing inequalities. One key theme of our Research Inclusion strategy is to develop an evidence-led approach to our equalities and inclusion work.

One of the most important ways to make progress in this work is to collect diversity data and evidence. Only by collecting and analysing our diversity data can we identify the bias and under representation in our systems, and set priorities for future work. 

Diversity means being reflective of the wider community. Having a diverse community, with people from a broad range of backgrounds represented in all areas and at all levels. Diversity data is data collected directly from individuals that allows them to self describe aspects of their identity. 

Understanding of the concepts of equality, diversity and inclusion may differ between the UK and other countries. We want to improve the way we ask our applicants, award holders, and committee members about their diversity data.

Please note: this survey is not about collecting data from research participants (research volunteers or subjects). Please answer the questions thinking about collecting data from those who apply or receive research funding and those who take part in our committees. [Repeated above PJ].

This is your chance to shape what data we collect about you and how we categorise it.  

Please complete by the 30th April 2025.

A note on language:
Throughout this document we will be referring to Low and Middle Income Countries. Every three years, the Organisation for Economic Cooperation and Development’s Development Assistance Committee updates its list of countries eligible for overseas development assistance. We refer to these countries as Low and Middle Income Countries (LMICs). ... continued on survey page...

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The link to the survey is embedded in the above text, but, in case helpful, the full link is

https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnihr.us14.list-manage.com%2Ftrack%2Fclick%3Fu%3D299dc02111e8a68172029095f%26id%3D662b9becdb%26e%3D62ea777216&data=05%7C02%7Ct.a.beare%40soton.ac.uk%7C8d81ac29e6874c273dfd08dd580f5e35%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C638763545225554700%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=%2FvfF7r285V4z0imxcHqDV9KsvYwjGA22On2RIF2zl1w%3D&reserved=0

Many thanks in advance.

Kind regards,

Tom

Thomas Beare  He/Him Research Manager, Global Health Research | NIHR Coordinating Centre

 e. thomas.beare AT nihr.ac.uk
 a. National Institute for Health and Care Research
Evaluation, Trials and Studies Coordinating Centre, Alpha House, Enterprise Road, Chilworth, Southampton SO16 7NS

My source: HIFA

What precedes/follows mis- dis- malinformation, fake news...?

"Sartori (1970: 1034) put it well when he wrote almost fifty years ago: ‘We badly need information which is sufficiently precise to be meaningfully comparable. Hence we need a filing system provided by discriminating, i.e., taxonomic, conceptual containers. If these are not provided, data misgathering is inevitable; and statistical, computerized sophistication is no remedy for misinformation.’ Turnheim et al. (2015) agree when they write that a structured dialogue among practitioners of different approaches is needed to better understand processes and pathways of sociotechnical change. Similar calls for more inclusive, comparative, cross-disciplinary research have come recently from many researchers (e.g. Castree, 2016; Sovacool et al., 2015; Stern et al., 2016; Viseu, 2015; Webster, 2016)." p.704.

"Borrowing from a mix of disciplines, including history, evolutionary economics, institutional theory and STS, the approach suggests that diffusion or transitions occurs through interactions among three levels: the niche, the regime, and the landscape. The niche refers to a radical innovation that is emerging to gain diffusion or adoption, to move from invention and innovation to viable market introduction (Grin et al., 2010). The regime refers to the incumbent sociotechnical system that the niche is potentially affecting or replacing; such regimes contain cognitive, regulative, and normative institutions (Geels, 2004). The ‘landscape’ refers to exogenous developments or shocks (e.g. economic crises, demographic changes, wars, ideological change, major environmental disruption like climate change) that create pressures on the regime, which in turn create windows of opportunity for the diffusion of niche-innovations."

Sovacool, B. K., & Hess, D. J. (2017). Ordering theories: Typologies and conceptual frameworks for sociotechnical change. Social Studies of Science, 47(5), 703–750. https://doi.org/10.1177/0306312717709363

"Users online tend to acquire information adhering to their worldviews, to ignore dissenting information and to form polarized groups around shared narratives. Furthermore, when polarization is high, misinformation might easily proliferate."

Cinelli, M., Quattrociocchi, W., Galeazzi, A. et al. The COVID-19 social media infodemic. Sci Rep 10, 16598 (2020). https://doi.org/10.1038/s41598-020-73510-5
[Reference numbers removed in quotation.]

 See also:

'landscape'

'socio-technical'

'habitus'

Draft figure: Selected processes and sources that can contribute/influence the content of Hodges' model

This draft figure is intended to ultimately show how the final application of Hodges' model, that is, the selection and placement of concepts in the care (knowledge) domains is not determined by a specific rule, 'law', or theory. The user of the model as a reflective, problem solving agent must justify their 'completed' matrix - addressing the four care domains. This could be a combined effort, with a colleague, fellow student, patient, or carer. 

Being situated the figure should highlight how the final result, output is not only dynamic, changing over time, but it is dependent upon context. Contrast using the model in a seminar, with a nurse and student reflecting on a forthcoming or post a best interests or safeguarding meeting.

The most important point here, across all healthcare, education and other use-cases, is that when applied the user of the model begins with a blank 'sheet' ... template 

Any thoughts welcome. [image updated 18 March 2022].

Draft figure: Selected processes and sources that can contribute/influence the content of Hodges' model

Forgotten Rationales ... ?

individual

|

INTERPERSONAL : SCIENCES

humanistic ----------------------------------------------- mechanistic

SOCIOLOGY : POLITICAL

|

group - population

"One of the earliest attempts to systematically classify disease began with John Graunt’s mid-seventeenth-century examination of London’s Bills of Mortality (1939[1662]). London’s series of bubonic plague outbreaks in the first half of the seventeenth century served as the backdrop for Graunt’s statistical analysis. His primary objective was to develop a more comprehensive picture of London’s mortality in order to construct a disease-incident baseline from which to better understand the effects of plague, which tended to overshadow other causes of death. Essential to these objectives were the broader concerns for creating "population profiles through a study of causes of death" (Alter and Carmichael 1999, 121), which Graunt accomplished by estimating London’s population through a geographical analysis, allowing him to calculate crude mortality rates." p.96.

UK coronavirus: care providers allege Covid-19 death toll underestimated Care operators warn coronavirus may  already be in more than 50% of nursing homes (Robert Booth and Rowena Mason, Wed 15 Apr 2020 07.09 BST. The Guardian)

"Sydenham designed his nosology with the needs of the physician rather than those of the statistician in mind. Accordingly, Sydenham and Graunt produced different classification systems based on the distinct purposes for which they were intended. This distinction (clinical vs. demographic) played a more significant role in the nineteenth century, foreshadowing some of the tensions and cross-purposes that informed the development of modern classification systems. As Alter and Carmichael (1999, 121) note: 'The problematic relationship between causes of morbidity and causes of mortality thus presented an ideological barrier between the concerns of physicians and the interests of statisticians. ...one group were lumpers, the other splitters.'" p.97.

Beemer, Jeffrey Keith, "Social Meanings of Mortality: The Language of Death and Disease in 19th Century Massachusetts" (2011). Open Access Dissertations. 428.
https://scholarworks.umass.edu/open_access_dissertations/428

Q. Is the state of social care and the applicable policy and legislation under which it operates an example of an 'inverted ring-fence'? Discuss & debate, justifying key policy and legislation as you see it and the implications amid the COVID-19 crisis and future (health and social care) policy.
https://twitter.com/h2cm/status/1250405469929328647?s=20

Remember(?) also:
Forgotten Streams ...