high-level analysis of nihr research impact derived from ref2014 case studies

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From singing clubs, to newborn screening, to stroke care: an analysis of the impact of research supported by the UK National Institute for Health Research (NIHR) Adam Kamenetzky, Saba Hinrichs-Krapels, Steven Wooding, Jonathan Grant INRA, Paris 3 November 2015

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Page 1: High-level analysis of NIHR research impact derived from REF2014 case studies

From singing clubs, to newborn screening, to stroke care: an analysis of the impact of research supported by the

UK National Institute for Health Research (NIHR)

Adam Kamenetzky, Saba Hinrichs-Krapels, Steven Wooding, Jonathan Grant

INRA, Paris 3 November 2015

Page 2: High-level analysis of NIHR research impact derived from REF2014 case studies

Background (1)

UK REF2014 was the largest research impact assessment exercise of its kind:

-  £1.6 billion annual public funding

-  154 Universities -  >52,000 research staff

-  6,975 impact case studies

Higher Education Funding Council for England impact definition:

‘an effect on, change or benefit to the economy, society, culture, public policy or services, health, the environment or quality of life, beyond academia’

Page 3: High-level analysis of NIHR research impact derived from REF2014 case studies

Background (2)

What does UK research impact look like?

(King’s College London and Digital Science 2015)

Page 4: High-level analysis of NIHR research impact derived from REF2014 case studies

Aims & methods

Page 5: High-level analysis of NIHR research impact derived from REF2014 case studies

Aims & methods (1) Largest supporter of clinical research in the UK:

“…to improve the health and wealth of the nation.”

Aims: 1)  How was NIHR support referred to in REF case studies?

2)  Describe the features of this research

3)  Curate a database that NIHR could use to develop narrative and use for advocacy purposes

Page 6: High-level analysis of NIHR research impact derived from REF2014 case studies

Aims & methods (2) We compiled a list of named sources of NIHR research support using data from NIHR’s website:

(http://www.nihr.ac.uk)

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Aims & methods (3) National Institute for Health Research (NIHR) OR

National Institute of Health Research  

Research Programmes

Efficacy and Mechanism Evaluation (EME)

Health Service and Delivery (HS&DR) OR

Service Delivery and Organisation (SDO)

Health Technology Assessment (HTA)

Health Technology Devices (HTD)

Methodology Research Programme

Invention for Innovation (i4i)

Programme Grants for applied Research (PGfAR) Programme Development Grants (PDG)

Public Health Research (PHR)

Research for Patient Benefit (RfPB)

Systematic Reviews Programme (SRP)

Centre for Reviews and Dissemination (CRD)

Cochrane Review Group (CRG)

Technology Assessment Reviews (TAR)

Research Schools

School for Primary Care Research (SPCR)

School for Public Health Research (SPHR)

School for Social Care Research (SSCR)

 

Other Programme Work

Blood and Transplant Research Unit (BTRU)

Centre for Surgical Reconstruction and Microbiology (CSRM)

Clinical Trials Units (CTU)

Health Protection Research Units (HPRU)

Horizon Scanning Centre (HSC)

James Lind Alliance Priority Setting Partnership (PSP)

Research Design Service (RDS)

Cochrane Centre (UKCC)

Clinical Research Units

Office for Clinical Research Infrastructure (NOCRI)

Translational Research Partnership (TRP) Biomedical Research Centre (BRC)

Biomedical Research Unit (BRU)

Clinical Research Facilities (CRF)

Experimental Cancer Medicine Centre (ECMC)

Translational Research Collaboration (TRC)

Patient Safety Translational Research Centres (PSTRC)

Healthcare Technology Co-operatives (HTC)

Diagnostic Evidence Co-operatives (DEC)

Collaborations for Leadership in Applied Health Research and Care (CLAHRC)

MRC/NIHR Phenome Centre

 

Coordinating centres

Evaluation, Trials and Studies Coordinating Centre (NETSCC)

Trainees Coordinating Centre (TCC)

Central Commissioning Facility (CCF)

Clinical Research Network Coordinating Centre (CRN CC)

Supporting NIHR Infrastructure

BioResource Centre

BioSample Centre

Join Dementia Research (JDR)

Health Informatics Collaborative (HIC)

 

NIHR investment into data and informatics Clinical Practice Research Datalink (CPRD)

Clinical Records Interactive Search (CRIS)

Dementia Clinical Records Interactive Search (D-CRIS)

 

Other schemes where NIHR contributes funding

Flexibility and Sustainability Funding (FSF)

Clinical and Translational Radiotherapy Research Working Group (CTRad)

Supportive and Palliative Care Collaboratives (SuPaC)

National Prevention Research Initiative (NPRI)

National Awareness & Early Diagnosis Initiative (NAEDI)

Dermatology Clinical Trials Network (DCTN)

Health Challenge Innovation Fund

Page 8: High-level analysis of NIHR research impact derived from REF2014 case studies

Aims & methods (4) We combined the names of these NIHR support streams into Boolean search strings, and used these to query the publicly-available REF impact case study database:1

(http://impact.ref.ac.uk/CaseStudies/search1.aspx)

Page 9: High-level analysis of NIHR research impact derived from REF2014 case studies

Aims & methods (5) We ran searches for mentions of NIHR support streams within the references to the research (section 3) or details of the impact (section 4) sections of the case studies.   We also ran searches for DH/NIHR grant reference numbers for awards made since 2004, to broaden the pool of potential case studies included for analysis.   This resulted in a pool of 371 case studies identified as potentially of relevance to NIHR.

Following rapid read-through, 248 included for further analysis.

Page 10: High-level analysis of NIHR research impact derived from REF2014 case studies

Aims & methods (6) We read each of the remaining 248 case studies in some detail and coded them according to a framework adapted for the purposes of this analysis (Annex 2: coding framework).   Coding was carried out using a data entry form hosted on Google Forms, and written to a Google Sheet. Final quantitative analysis and combining of the annotated impact case study data with the original REF-submitted data was carried out in Excel.

Hinrichs, S et al. (2015) The non-academic impact of international development research in UK Higher Education: analysis using the REF 2014 impact case studieshttp://www.kcl.ac.uk/sspp/policy-institute/publications/non-academic-impact-of-international-development-research.pdf

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The nature of NIHR support

Page 12: High-level analysis of NIHR research impact derived from REF2014 case studies

The nature of NIHR support (1)

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Counts of impact case studies by NIHR support stream

Page 13: High-level analysis of NIHR research impact derived from REF2014 case studies

The nature of NIHR support (2) Most case studies (n=191; 77%) noted NIHR as having supported research within the last 10 years, with only a quarter (n=60; 24%) exclusively noting NIHR support more recently than 2010. A number of case studies (n=21; 8%) – mostly HTA-funded – referred to support prior to the NIHR’s establishment in 2006. In almost all cases, NIHR’s primary involvement was as a contributor to the impacts described in the case studies (n=204; 82%) or as a supporter of ongoing research (n=31; 13%).5

Page 14: High-level analysis of NIHR research impact derived from REF2014 case studies

The scale of NIHR support

Page 15: High-level analysis of NIHR research impact derived from REF2014 case studies

The scale of NIHR support (1)

0  10  20  30  40  50  60  70  80  90  

Counts of impact case studies by primary HRCS health category

Page 16: High-level analysis of NIHR research impact derived from REF2014 case studies

The scale of NIHR support (2)

Word cloud produced from case study disease tags, generated at: www.jasondavies.com/wordcloud/

Page 17: High-level analysis of NIHR research impact derived from REF2014 case studies

The scale of NIHR support (3) NIHR support was associated with a high degree of cooperative funding between different public and private agencies. Almost half (n=114; 46%) of NIHR-supported case studies noted support from UK charities, and over a third (n=93; 38%) support from one or more of the UK Research Councils. Fewer case studies noted support from the European Union (n=20; 8%) and/or other international (n=24; 10%) funders. Overall, three-quarters of NIHR-supported case studies (n=185; 75%) made reference to funding from another partner.

Page 18: High-level analysis of NIHR research impact derived from REF2014 case studies

The impact of NIHR support

Page 19: High-level analysis of NIHR research impact derived from REF2014 case studies

To understand how NIHR-supported research led to impacts, we annotated case studies by the evidence provided of research contributing to one or more steps along a pathway to impact:

Almost all case studies noted impacts on regional or UK practice. High proportions noted evidence of adoption into international practice.

The impact of NIHR support (1)

Page 20: High-level analysis of NIHR research impact derived from REF2014 case studies

The impact of NIHR support (2) We further sought to capture and quantify, where possible, those case studies that provided evidence of the number of patients directly benefitting from the research (n=79; 32%):

Page 21: High-level analysis of NIHR research impact derived from REF2014 case studies

The impact of NIHR support (3) Similarly, we sought to capture in our analysis those case studies that provided evidence of financial returns (such as cost savings to the NHS or licensing revenue) in absolute terms (n=27; 11%):9

Page 22: High-level analysis of NIHR research impact derived from REF2014 case studies

The impact of NIHR support (4) A third of case studies (n=84; 34%) made reference to specific beneficiary groups (i.e. over and above medical groupings of patients), which we also sought to capture:

Page 23: High-level analysis of NIHR research impact derived from REF2014 case studies

Example narratives of NIHR impact

Page 24: High-level analysis of NIHR research impact derived from REF2014 case studies

Example narratives of NIHR impact (1) Intervention: trials of the benefits of singing groups to improve health outcomes in the elderly. Impact: Research at the Centre for Arts and Health at Canterbury Christ Church University has supported singing groups to improve health and wellbeing in elderly people. Since establishing a charity in 2005 to transfer research findings into practice, these groups now reach over 1k people per month. An NIHR-funded randomised controlled trial of singing for 300 people aged 60 or over showed evidence of improvements in mental wellbeing. The team have since established local singing for mental health networks, and singing groups for Parkinson's and dementia. The Royal Society for Public Health incorporated research findings into national practitioner training in the arts, health and wellbeing. Lead researchers established an international arts and health journal, cited for its contributions to health care policy and public opinion. NIHR support streams: Research for Patient Benefit Scale: Financial return: n/a Beneficiaries: elderly people

Page 25: High-level analysis of NIHR research impact derived from REF2014 case studies

Example narratives of NIHR impact (2) Intervention: feasibility of a newborn bloodspot screening programme, and a cluster trial to evaluate delivery of care, for patients with sickle cell disease. Impact: A follow up to earlier HTA-funded research at King’s College London (KCL) led to the establishment of a national newborn bloodspot screening programme for sickle cell disease and thalassaemia at KCL. Since 2008, this has led to the implementation of new UK-wide standards, care pathways, education and training, data collection and monitoring and evaluation of patients with blood disorders. The programme has resulted in a majority of antenatal screening tests (61%) for sickle cell anaemia and thalassaemia now being performed before the 1st trimester. The research has been recognised both nationally, and internationally (highlighted as a model for screening in other countries). It has contributed to efforts to improve pain management and the long-term care of patients with sickle cell disease, and fed into guidance for commissioners. NIHR support streams: Health Technology Assessment Scale: Financial return: n/a Beneficiaries: n/a

Page 26: High-level analysis of NIHR research impact derived from REF2014 case studies

Example narratives of NIHR impact (3) Intervention: Establishing a stroke register of over 5k patients in South London to inform long-term care and policy, and trials of more effective care models (e.g. early supported discharge). Impact: Registry data using risk of stroke (in particular ethnic variations in risk) and long-term outcomes informed the National Stroke Strategy, and enabled modelling of cost-effective options for stroke care. This fed into reconfiguration of stroke services in London, resulting in an estimated 12% reduction in deaths at 90 days, a reduction in median length of hospital stay, and cost savings of £5.2m (£811 per patient). Recommendations on early supported discharge informed national guidelines, and have been implemented in 66% of English hospitals, with indications of reduced mortality in hospitals with better organised care. NIHR support streams: Research for Patient Benefit, Programme Grants for Applied Research Scale: Financial return: £££ Beneficiaries: ethnic minorities

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Conclusion/next steps

Page 28: High-level analysis of NIHR research impact derived from REF2014 case studies

Conclusion/next steps While by no means a comprehensive evaluation of all of the NIHR’s research funding throughout the REF analysis period (2008-2013), we provide a birds-eye view of how NIHR’s investment in research has sustained a diverse swathe of health, social and economic benefits.   Our analysis likely underestimates impacts attributable to NIHR.

Though mindful of the purpose for which REF impact case studies were written, we recommend them as a rich and diverse source for further enquiry.

Page 29: High-level analysis of NIHR research impact derived from REF2014 case studies

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