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. 2022 Dec 12;23:1000. doi: 10.1186/s13063-022-06928-z

Approaches to prioritising research for clinical trial networks: a scoping review

Rachael L Morton 1,, Haitham Tuffaha 2, Vendula Blaya-Novakova 1, Jenean Spencer 3, Carmel M Hawley 4, Phil Peyton 5, Alisa Higgins 6, Julie Marsh 7, William J Taylor 8, Sue Huckson 9, Amy Sillett 10, Kieran Schneemann 3,10, Anitha Balagurunanthan 3, Miranda Cumpston 3,11, Paul A Scuffham 2, Paul Glasziou 12, Robert J Simes 1
PMCID: PMC9743749  PMID: 36510214

Abstract

Background

Prioritisation of clinical trials ensures that the research conducted meets the needs of stakeholders, makes the best use of resources and avoids duplication. The aim of this review was to identify and critically appraise approaches to research prioritisation applicable to clinical trials, to inform best practice guidelines for clinical trial networks and funders.

Methods

A scoping review of English-language published literature and research organisation websites (January 2000 to January 2020) was undertaken to identify primary studies, approaches and criteria for research prioritisation. Data were extracted and tabulated, and a narrative synthesis was employed.

Results

Seventy-eight primary studies and 18 websites were included. The majority of research prioritisation occurred in oncology and neurology disciplines. The main reasons for prioritisation were to address a knowledge gap (51 of 78 studies [65%]) and to define patient-important topics (28 studies, [35%]). In addition, research organisations prioritised in order to support their institution’s mission, invest strategically, and identify best return on investment. Fifty-seven of 78 (73%) studies used interpretative prioritisation approaches (including Delphi surveys, James Lind Alliance and consensus workshops); six studies used quantitative approaches (8%) such as prospective payback or value of information (VOI) analyses; and 14 studies used blended approaches (18%) such as nominal group technique and Child Health Nutritional Research Initiative. Main criteria for prioritisation included relevance, appropriateness, significance, feasibility and cost-effectiveness.

Conclusion

Current research prioritisation approaches for groups conducting and funding clinical trials are largely interpretative. There is an opportunity to improve the transparency of prioritisation through the inclusion of quantitative approaches.

Keywords: Cost-effectiveness, Clinical trial networks, Prioritisation, Review

Introduction

Clinical trials networks (CTNs) conduct investigator-initiated research and public good trials, largely funded by charities, universities and governments. Examples of CTNs in Australia include the Australian Kidney Trials Network (AKTN https://aktn.org.au/), the Australia and New Zealand College of Anaesthetists clinical trials network (ANZCA https://www.anzca.edu.au/research/anzca-clinical-trials-network) and the Cooperative Trials Group for Neuro-Oncology (COGNO https://www.cogno.org.au/default.aspx). Example CTNs in Europe include the European Society of Anaesthesiology and Intensive Care (ESAIC https://www.esaic.org/research/clinical-trial-network/) and in the USA include the HIV Prevention Trials Network (HPTN https://www.hptn.org/). However, with limited available resources including trained research personnel, trial participants and funds, decisions need to be made about which trials are a priority. The desired result of successful prioritisation is funded trials that generate important information, help inform clinical and policy decision-making and improve health outcomes. In reality, research prioritisation is not easy, and many organisations wrestle with competing criteria and the multiple interests of stakeholder groups.

Three main approaches to prioritisation have emerged in health and medicine research, namely interpretive, quantitative and blended methods. Interpretive approaches utilise consensus views of informed participants and include James Lind Alliance (JLA) and Delphi surveys [1, 2]. These approaches can reflect emerging patterns in the future and engage consumers; however, they do not provide methodology for identifying participants, often lack criteria transparency and have the potential for investigators and facilitators to bias opinions. Quantitative approaches utilise epidemiological, clinical or economic data. Examples include burden of disease, prospective payback and value of information (VOI) analyses [3, 4]. These approaches provide an objective assessment of value for money; however, they do not consider other criteria such as equity and broad stakeholder’s involvement; furthermore, they can be technically demanding. Blended approaches utilise and combine both interpretive and quantitative assessments and include the Child Health Nutrition Research Initiative (CHNRI) and multi-criteria decision analysis (MCDA [5, 6].

The aim of this scoping review was to identify approaches for priority setting in health and medical research useful to clinical trial networks (CTNs) in Australia and internationally and research funders. Specifically to answer the following research questions: what models, approaches or methods are used by CTNs to prioritise clinical trials; how have these models, approaches or methods been developed and validated; and what is the best practice for prioritising clinical trials? The findings will then be used to develop best practice guidance for CTNs and research funders.

Methods

A scoping review of published literature and working documents, as well as websites from research funding organisations and CTNs, was undertaken to identify research prioritisation tools and criteria. Digital databases including Ovid MEDLINE, Embase and the WHO library database (WHOLIS) were searched for publications about guidelines for prioritising research questions relevant to CTNs. Search terms included ([prioritization OR prioritisation OR setting priorities OR priority setting OR research priority*] AND [clinical trials OR clinical trial networks OR clinical trial group]). The search was limited to studies in English published from year 2000 onwards. The search was updated on 30 January 2020.

Titles and abstracts were screened, and eligible studies were selected by a single reviewer (VBN) for the following inclusion criteria: original studies, systematic reviews, guidelines, recommendations, and tools for research prioritisation. Both qualitative and quantitative methods of prioritisation were accepted. Studies not relevant to CTNs, duplicate publications, guidelines written from the perspective of funders, opinion articles, letters to editors and abstracts only were excluded. A manual search of key references cited in the retrieved papers and reports was also undertaken to identify additional publications not encountered by the electronic searches. A second reviewer (RLM) was consulted when in doubt regarding study selection, and any discrepancies were resolved by consensus with a third reviewer (MC).

A second search of key Australian and international CTNs/clinical disciplines/clinical specialties websites was then undertaken. Organisations were selected by the author team as likely to provide guidance on prioritisation and selection of clinical trials, and websites were searched by two authors (VBN, AB). Searched websites are listed in the Appendix. Searching included exploration of the website menu structure for relevant documents and searching within the sites using the terms “clinical trials”, “priorities”, “prioritisation” or “prioritization” (depending on the nationality of the website).

The following types of documents were selected for inclusion: guidance on prioritisation; case studies or examples of prioritisation exercises that reported the methods used; guidance on criteria for the assessment, selection or prioritization of clinical trials (e.g. for funding purposes). Documents that did not constitute current guidance or were superseded by later versions of current guidance (e.g. prioritisation processes to inform past priorities or strategic plans or discussion documents that appeared to be older than current guidance), were excluded. Documents with URLs that were no longer accessible in January 2020 were also excluded.

Data from studies and websites were extracted and tabulated into an Excel file according to a predefined codebook. Data extraction variables comprised author name, author group (e.g. CTN, funder), clinical discipline, country, year of publication, participants or stakeholders in the prioritisation process (e.g. health professionals, researchers, policy/decision makers, funders, patients, carers/consumers), intended audience (e.g. government/policymakers, clinicians, researchers, funders, the public), brief reason for prioritisation (e.g. knowledge gap, important to patients, return on investment, feasibility of methodology), type of research (e.g. trials), research prioritisation tools (e.g. Delphi, CHNRI, JLA, payback, MCDA, forced ranking, workshop/consensus meeting, other), prioritisation method (e.g. quantitative scoring, nominal group technique, weighted scores, monetary, other), research prioritisation criteria (e.g. relevance, appropriateness, significance, feasibility, cost-effectiveness [7]) and the URLs (for websites). Data from published articles and websites were summarised and tabulated separately. Critical appraisals of included studies, guidance documents or websites were not undertaken. Reporting of this scoping review was consistent with items in the PRISMA-ScR checklist [8].

Results

Literature search

The results of the literature search and study selection process are depicted in Fig. 1. A table of the seventy-eight primary studies included in this review is presented in Table 1.

Fig. 1.

Fig. 1

PRISMA 2009 diagram

Table 1.

Included studies

Citation Author group (CTN, funder) Clinical discipline Participants/Stakeholders
Africa
 Folayan, Haire [9] Institute of Public Health, Obafemi Awolowo University, Nigeria Infectious diseases (outbreaks) Bioethicists, social scientists, ethics committee members, community members
Australia and New Zealand
 Middleton, Piccenna [10] National Trauma Research Institute and Australian and New Zealand Spinal Cord Injury Network (ANZSCIN) Funded by Victorian Transport Accident Commission and ANZSCIN Spinal cord injury Clinicians, researchers, advocacy organisations, health system managers, policy makers, funding agencies
 Sangvatanakul, Hillege [11] Research institutes, universities, Nursing and Midwifery Australia, National Centre for Clinical Outcomes Research (NaCCOR), National Stroke Foundation… Stroke Stroke survivors, carers
 Sawford, Dhand [12]

University of Western Sydney, contracted by Rural Industries Research and Development Corporation

Funded by National Hendra Virus Research Program (Commonwealth of Australia, State of New South Wales, State of Queensland)

Infectious diseases/ Zoonosis

Policy developers and implementers in key government agencies in all states and territories Known experts engaged in a range of Hendra virus-related activities Research leaders in charge of National Hendra Virus Research Program funded projects

Members of the Intergovernmental Hendra Virus Taskforce

Public health leaders in Hendra virus-affected states

 Thom, Keijzers [13]

Australian College for Emergency Medicine (ACEM)

Clinical Trials Network

Emergency medicine ACEM fellows, trainees, senior national and international researchers
 Tong, Crowe [14] Funded by the National Health and Medical Research Council (NHMRC), University of Sydney, Kidney Health Australia Nephrology (chronic kidney disease (CKD)) Patients with CKD (CKD stages 1- 5, 5D, or 5T), family caregivers, or health professionals with experience in CKD (nephrologists, surgeons, nurses, allied health professionals, and researchers)
 Taylor and Green [15] Australia & New Zealand Musculoskeletal Clinical Trials Network (ANZMUSC) Rehabilitation Health professionals from various disciplines, consumers of healthcare services, funders of research and healthcare services
North America – Canada
 Barnieh, Jun [16] University of Calgary Nephrology (dialysis) Patients, caregivers, clinicians
 Hayes, Bassett-Spiers [17] The Ontario Neurotrauma Foundation (ONF) International Expert Panel Spinal cord injury (SCI)/Urology Experts in physiatry, urology, nursing, microbiology, physiology; person with SCI; executive representatives of ONF
 Lavigne, Birken [18]

TARGet Kids! (The Applied Research Group for Kids)

primary care research network

Paediatric preventive care Parents, clinicians
 Manns, Hemmelgarn [19] Kidney Foundation of Canada Funded by Canadian Institutes of Health Research (CIHR) (grant) Nephrology (dialysis) Patients, carers, clinicians
 Ota, Cron [20] Childhood Arthritis and Rheumatology Research Alliance (CARRA) - investigator-initiated research network Paediatric rheumatology Paediatric rheumatology experts across Canada and the USA
 Restall, Carnochan [21] Canadian Institutes of Health Research (CIHR) HIV/AIDS People living with HIV, researchers, service providers, leaders in AIDS service or related organisations and policy makers
 Schneider, Evaniew [22] McMaster University Funded by the McMaster Surgical Associates Innovation Grant Orthopaedic oncology

Clinician-scientists (interested or participating in a trial, professional societies members), representatives from patient advocacy groups.

Representation of geographical, stakeholder and career stage groups.

 Sivananthan and Chambers [23] Ontario Research Coalition of Institutes/Centres on Health and Aging (ORC) Health and aging Researchers, policy makers, caregivers
 Wu, Bezjak [24]

National Cancer Institute of Canada (NCIC) Clinical Trials

Group

Oncology Researchers, radiation oncologists Opinion leaders, researchers, methodologists
North America – USA
 Al-Khatib, Gierisch [25]

Duke University Evidence Synthesis Group

Funded by the Patient- Centered Outcomes Research Institute (PCORI)

Cardiovascular Clinical experts, researchers, funding agencies, healthcare decision-makers, policymakers, consumer and patient advocacy groups
 Ardoin, Daly [26]

Lupus Foundation of America (LFA)

Childhood Arthritis and Rheumatology Research Alliance (CARRA)

Paediatric rheumatology Paediatric clinicians and investigators in rheumatology, nephrology and dermatology
 Bennette, Veenstra [27]

Southwest Oncology Group (SWOG) – Clinical Trial Cooperative Group

Funded by Patient-Centered Outcomes Research Institute (PCORI)

Oncology Members of SWOG, including clinical trialists, clinicians, statisticians, and patient advocates and/or members who have a vested interest in the outcomes of this work
 Bousvaros, Sylvester [28] Challenges in Pediatric Inflammatory Bowel Disease (IBD) Study Groups Paediatric Inflammatory Bowel Disease Investigators with expertise in paediatric IBD: paediatricians, internists, basic scientists, clinical investigators, and members of the administrative staff and board of the Crohn's and Colitis Foundation of America
 Carlson, Kim [29]

Southwest Oncology Group (SWOG)

Funded by Patient-Centered Outcomes Research Institute (PCORI)

Oncology SWOG
 Duong, Schempp [30] United States Army/ TriService Nursing Research Program (TSNRP) Military nursing TSNRP director, TSNRP Advisory Council, military nursing researchers, clinical leaders
 Esmail, Roth [31] Center for Comparative Effectiveness Research in Cancer Genomics (CANCERGEN) Cancer genomics CANCERGEN External Stakeholder Advisory Group (ESAG): professional patient/consumer advocates, payers, clinicians, policymakers/regulators, the life sciences and diagnostic industry
 Fochtman and Hinds [32]

Association of Pediatric

Oncology Nurses

Paediatric oncology Nurse experts
 Henkle, Aksamit [33]

Oregon Health & Science University

Supported by Patient-Centered Outcomes Research Institute (PCORI)

Infectious diseases Nontuberculous Mycobacteria (NTM) Research Consortium: clinical experts, researchers, patients, caregivers, patient advocates
 Henkle, Aksamit [34] Funded by Patient-Centered Outcomes Research Institute (PCORI) Pneumology Clinical research experts, patient advisory panel, representatives from two key patient advocacy organisations
 Higginbotham [35] Society of Family Planning Family planning Family planning researchers and academics
 Roach, Abreu [36]

2015 Sturge-Weber Syndrome Research Workshop

Funded by the National Institutes of Health (NIH)

Sturge-Weber Syndrome (Neurology, Ophthalmology, Dermatology) Clinical and translational researchers
 Safdar and Greenberg [37]

Yale School of Medicine and USF Morsani College of Medicine

Funded by National Institute of Neurological Disorders and Stroke (NINDS) and National Institutes of Health (NIH) Supported by Patient-Centered Outcomes Research Institute (PCORI)

Emergency Medicine Researchers, clinicians, health care providers, patients, representatives of federal agencies, policymakers
 Saldanha, Dickersin [38] Johns Hopkins Funded by the National Institutes of Health (NIH) and Cochrane Eyes and Vision Ophthalmology International (21 countries) clinicians managing patients with Dry Eye
 Thariani, Wong [39] Center for Comparative Effectiveness Research in Cancer Genomics (CANCERGEN) Oncology (cancer genomics) Representatives from patient- advocacy groups, payers, test developers, regulators, policymakers, and community-based oncologists
 Vickrey, Brott [40] National Institutes of Health (NIH)/ National Institute of Neurological Disorders and Stroke (NINDS) Stroke Scientific experts, stroke advocates, stroke association representatives
Europe
 Aliberti, Masefield [41]

European Multicentre Bronchiectasis Audit and Research Collaboration (EMBARC)

European Respiratory Society (ERS) Clinical Research Collaboration

Endorsed by ERS

Pneumology EMBARC Roadmap Study Group: clinicians, patients, and carers
 Forsman, Wahlbeck [42]

ROAdmap for Mental health Research in Europe

(ROAMER) Consortium

Mental health Experts
 van der Feltz- Cornelis, van Os [43]

ROAdmap for MEnatal health Research and well-being in Europe (ROAMER)

Funded by the European Commission's 7th Framework Programme

Mental health Experts in the field of clinical mental health research: psychiatrists, psychologists, general physicians, occupational physicians
Europe – The Netherlands
 de Graaf, Postmus [44] Department of Epidemiology, University of Groeningen Diabetes

Not applicable (theoretical exercise)

Expert opinion for ordinal ranking of decision alternatives

Europe – United Kingdom
 Aldiss, Fern [45]

The Teenage and Young Adult Cancer Priority Setting Partnership (PSP)

Funded by the Teenage Cancer Trust, CLIC Sargent, Children with Cancer UK

Oncology Young people with current or previous cancer diagnosis, their families, friends, partners, and professionals who work with this population
 Andronis, Billingham [46] National Institute for Health Research (NIHR) Oncology 2 case studies (research grant proposals for clinical trials)
 Boney, Bell [47] National Institute for Academic Anaesthesia (NIAA) Health Services Research Centre Anaesthesia and perioperative care Professionals, patients/carers
 Cox, Arber [48] UK Oncology Nursing Society Oncology nursing Nurses, patients
 Deane, Flaherty [49] University of East Anglia and University of Birmingham Funded by Parkinson's UK Neurology (Parkinson's) People with Parkinson’s (PwP); carers and former carers; family members and friends; healthcare and social care professionals who work, or have worked, with people living with the condition. Non- clinical researchers and employees of pharmaceutical or medical devices companies were excluded from the survey.
 Fleurence [50] York Trials Unit Methodology (clinical trials)/ osteoporosis and wound care Not applicable (theoretical exercise)
 Gadsby, Snow [51]

University of Warwick Partnership:

Juvenile Diabetes Research Foundation, Insulin Dependent Diabetes Trust, Diabetes Research Network, Diabetes UK, Scottish Diabetes Research Network, UK Database of Uncertainties in the Effects of Treatments, the James Lind Alliance, and NHS Evidence—diabetes

Funded by Insulin Dependent Diabetes Trust

Diabetes Patients, carers, health professionals
 Hall, Mohamad [52]

National Institute for Health Research (NIHR), National Institute for Clinical Excellence (NICE), scientific and patient societies Funders: British Tinnitus Association, NIHR, Judi

Meadows Memorial Fund

Neurology - tinnitus Clinicians, persons with tinnitus, researchers, James Lind Alliance representative, NICE representative Professional bodies, charities, advocators for people with tinnitus, support groups, hospital centres, commercial organizations
 Hart, Lomer [53] British Society of Gastroenterology, Funded by Crohn's and Colitis UK Gastroenterology Healthcare professionals (nurses, gastroenterologists, dietitians), patients, carers
 Heazell, Whitworth [54] Tommy's, Maternal and Fetal Health Research Centre University of Manchester Obstetrics Representatives of professional and parents' organisations (direct/indirect experience with stillbirth)
 Howell, Pandit [55] National Institute for Academic Anaesthesia (NIAA) Research Council Anaesthesia and perioperative medicine Fellows of the Royal College of Anaesthetists (RCA), members of the Association of Anaesthetists of Great Britain and Ireland (AAGBI), lay representatives (Patient Liaison Group of the RCA)
 Ingram, Abbott [56] Funded by the UK Dermatology Clinical Trials Network Dermatology Patients, carers, clinicians
 Kelly, Lafortune [57] Alzheimer's Society Neurology / dementia People with dementia, carers, relatives, health and care professionals
 Knight, Metcalfe [58] Funded by the National Institute for Health Research (NIHR) Nephrology (transplant) Patients, carers, donors, clinicians, nurses, scientists
 Macbeth, Tomlinson [59] British Hair and Nail Society Funded by Alopecia UK Dermatology People with hair loss, carers, relatives, healthcare professionals, scientific societies' representatives
 McKenna, Griffin [60]

University of York

Supported by Patient-Centered Outcomes Research Institute (PCORI)

Traumatology (brain injury) Not applicable (case study)
 Morris, Simkiss [61] British Academy of Childhood Disability Childhood neurodisability Young people with disabilities, parent carers, clinicians, charity representatives
 Owens, Ley [62] Devon Partnership National Health Service (NHS) Trust Mental health

Mental health service users Informal carers

Mental health practitioners Service managers

 Perry, Wright [63]

British Society for Children's

Orthopaedic Surgery (BSCOS)

Paediatric

Orthopaedics

Surgeons - members of BSCOS
 Pollock, St George [64]

Nursing Midwifery and Allied Health Professions (NMAHP) Research Unit

Funded by the Scottish Government

Stroke Stroke survivors, caregivers, health professionals
 Rangan, Upadhaya [65]

National Institute for Health Research (NIHR)

Funded by the British Elbow and Shoulder Society, British Orthopaedic Association

Orthopaedics Patients, carers, medical doctors, nurses, allied health professionals, general practitioners
 Rowat, Pollock [66] Scottish Stroke Nurses Forum (SSNF) Stroke (nursing) Stroke nurses (registered, unregistered, students) members of the SSNF
 Rowe, Wormald [67]

Fight for Sight, College of Optometrists, Royal College of Ophthalmologists

Funded by the National Institute for Health Research (NIHR)

Ophthalmology Patients, relatives, carers, eye health professionals
 Shepherd, Wood [68] South East Wales Trials Unit, Centre for Trials Research, Cardiff University Aged care Care home staff (nursing and residential care)
 Stephens, Whiting [69] Institute of Clinical Trials & Methodology Oncology (mesothelioma) Patients, carers, health professionals, support organisations
 van Middendorp, Allison [70] Funded by the National Institute for Health Research (NIHR) – Oxford Biomedical Research Group Spinal cord injury Consumer organisations, healthcare professional societies and caregivers
 Wan, Beverley-Stevenson [71] University of Manchester Funded by NIHR Oncology Patients, carers, healthcare professionals
 Willett, Gray [72] Funded by AO UK Research Group Orthopaedic trauma AO UK faculty members: orthopaedic surgeons and operating room nurses
India
 Arora, Mohapatra [73]

Inclen Trust Intl

Indian Council of Medical Research (ICMR)

Maternal, newborn, child health and nutrition

Researchers, professionals, public health functionaries, policy makers, communities and their leadership, civil society, donor agencies and industries

Exclusively Indian nationals

 Ravindran and Seshadri [74] Institute for Medical Sciences & Technology, Trivandrum Part of Closing the Gap project Supported by International Development Research Centre, Canada Health equity Researchers (public health - health systems researchers, epidemiologists, social science, anthropology), practitioners: policymakers, programme managers, advocates, activists
International
 Allotey, Matei [75]

Queen Mary University of London

Department of Reproductive Health and Research, World Health Organization (WHO)

Maternal and perinatal health

Healthcare providers, academics, lay representatives, public health specialists, policy makers.

Clinicians (80%, 127/159), made up of obstetricians (68%, 86/127); neonatologists (24%, 30/127); nurses/midwives (7%, 9/127) and general practitioners (2%, 2/127). Researchers, epidemiologists, consumers, policy makers and representatives of non- governmental organizations (NGOs) and funding bodies

 Bahl, Martines [76] Department of Child and Adolescent Health & Development, World Health Organization (WHO) Newborn health Investors, policymakers, technical experts, other stakeholders
 Brown, Hess [77] University of California Davis Funded by the Child Health and Nutrition Research Initiative (CHNRI) Paediatric nutrition Leading experts in zinc research
 Brundin, Barkerb [78] Linked Clinical Trials International Committee Neurology - Parkinson's International committee of experts Representatives of key funding bodies (as observers)
 Foster, Dziedzic [79]

Arthritis Research Campaign National Primary Care Centre, Keele University

Clinical Trials Thinktank

Musculoskeletal disorders

Researchers, patient representatives

Round 2 - researchers, practitioners, educators, managers

 Prescott, Iwashyna [80] International Sepsis Forum Infectious diseases Healthcare professionals, researchers, patient representatives
 Robinson, Lorenc [81] British Acupuncture Council Traditional Chinese Medicine (TCM) TCM acupuncturists
 Rowbotham, Smith [82] University of Nottingham Pneumology (cystic fibrosis) Patients and clinical community
 Ruhl, Sadreameli [83] The American Thoracic Society Pneumology (sickle cell lung disease) Multidisciplinary - paediatric and adult haematologists, pneumologists, emergency medicine physicians, patient advocate, librarian
 Viergever, Olifson [84] Bruyere Evidence-Based Guidelines Symposium Clinical pharmacology (deprescribing) Researchers, educators, clinicians, patient advocates, guideline developers, policy makers, other stakeholders
 Viergever, Olifson [85] World Health Organization (WHO) Health research Expert staff in WHO and selection of international research organisations experienced in health research priority setting
 Yu, Li [86]

Johns Hopkins Bloomberg

School of Public Health

Ophthalmology Clinicians

Most research prioritisation exercises were conducted either in Europe (n = 32; 41%) or North America (n = 25; 32%); six prioritisation studies (8%) originated in Australia and New Zealand. Two studies were conducted in South Asia (India; 3%), one in South-East Asia (1%), one in Africa (1%) and 11 studies were international (14%). Included studies were published between 2000 and 2019 (see Fig. 2a). Clinical specialties most frequently involved in research prioritisation were oncology (n = 11 studies; 14%), neurology (n = 11; 14%), paediatrics (n = 8; 10%), maternal and child health (n = 4; 5%), infectious diseases and HIV/AIDS (n = 5; 6%), nephrology (n = 4; 5%), respiratory medicine (n = 4; 5%), mental health (n = 3; 4%) and ophthalmology (n = 3; 4%).

Fig. 2.

Fig. 2

Prioritisation study numbers, participants, reason and intended. a Number of studies published by year. b Participants in the prioritisation exercise. c Reason for prioritisation. d Intended audience of the prioritisation process

The stakeholders most frequently involved in the prioritisation process were health professionals (n = 65 studies; 83.3%), patients and carers/consumers (each n = 42 studies; 53.8%), researchers (n = 34 studies, 44%), policy or decision makers (n = 20 studies, 26%), and funders (n = 15 studies, 19%; see Fig. 2b). Stakeholders were not stated in four studies (5%).

The reasons for conducting the research prioritisation exercise included a knowledge gap in 51 studies (65%), ascertaining what was important to patients in 28 studies (36%), assessing the feasibility of a particular prioritisation methodology in 12 studies (15%) and estimating a return on investment in 10 studies (13%; see Fig. 2c; Table 2).

Table 2.

Prioritisation methodologies

Citation Type of research Reason for prioritisation Tool, model or approach used for prioritisation Prioritisation method
Knowledge gap Important to patients Return on investment Feasibility of methodology
Quantitative Approach
 Andronis 2016 [46] Clinical trials Y Payback/VOI Monetary
 Bennette 2016 [27] Clinical trials Y VOI Monetary
 Carlson 2018 [29] Clinical trials Y VOI Monetary
 Fleurence 2007 [50] Trials Y Payback/VOI Monetary
 McKenna 2016 [60] Clinical trials Y VOI Monetary
 Robinson 2012 [81] Clinical trials Y Other Quantitative scoring
Interpretative Approach
 Aldiss 2019 [45] Not stated Y JLA Not stated
 Aliberti 2016 [41]

Clinical trials Translational research

Collaborative working

Y Delphi Quantitative scoring
 Al-Khatib 2015 [25] Systematic reviews, trials, observational studies (horizon scanning) Y Forced ranking Forced ranking
 Barnieh 2015 [16] Not stated Y JLA Nominal group technique
 Boney 2015 [47] Not stated Y Y JLA Weighted scores
 Bousvaros 2006 [28] Not stated Y Y Workshop/consensus meeting Not stated
 Brundin 2013 [78] Clinical trials Other Not stated
 Comi 2016 [87] Clinical trials Y Workshop/consensus meeting Not stated
 Cox 2017 [48] Not stated Y Y Delphi Quantitative scoring
 Deane 2014 [49] Not stated Y Y JLA Quantitative scoring
 Duong 2005 [30] Not stated Y Workshop/consensus meeting Not stated
 Esmail 2013 [31] Comparative effectiveness research Y Delphi AHRQ criteria
 Fochtman 2000 [32] Not stated Y Delphi Quantitative scoring
 Folayan 2018 [9] Clinical trials Y Delphi Not stated
 Forsman 2015 [42] Not stated Y Delphi Quantitative scoring
 Foster 2009 [79] Clinical trials Y Delphi Quantitative scoring/Nominal group technique
 Gadsby 2012 [51] Not stated Y JLA Quantitative scoring
 Hall 2013 [52] Not stated Y Y JLA Weighted scores
 Hart 2017 [53] Not stated Y JLA Quantitative scoring
 Hayes 2007 [17] Late-stage animal or early-stage human clinical trials Y Delphi Quantitative scoring
 Heazell 2015 [54] Not stated Y Y JLA Quantitative scoring
 Henkle 2016 [33] Not stated Y Workshop/consensus meeting Not stated
 Henkle 2018 [34] Clinical trials Y Y Other Not stated
 Howell 2012 [55] Not stated Y Other Quantitative scoring
 Ingram 2014 [56] Not stated Y Y JLA Quantitative scoring/ Nominal group technique
 Kelly 2015 [57] Not stated Y JLA Quantitative scoring/ Nominal group technique
 Knight 2016 [58] Not stated Y Y JLA Quantitative scoring/ Nominal group technique
 Lavigne 2017 [18] Not stated Y Y Other Quantitative scoring/ Nominal group technique
 Macbeth 2017 [59] Not stated Y Y JLA Quantitative scoring/Nominal group technique
 Manns 2014 [19] Not stated Y Y JLA NGT
 Middleton 2015 [10] Trials Y Y Other Not stated
 Morris 2015 [61] Not stated Y JLA Quantitative scoring/Nominal group technique
 Ota 2008 [20] Clinical trials Y Delphi Quantitative scoring
 Owens 2008 [62] Not stated Y Y Delphi Quantitative scoring
 Perry 2018 [63]

Clinical trials (clinical

effectiveness)

Y Delphi Quantitative scoring
 Pollock 2014 [64] Not stated Y JLA Quantitative scoring
 Prescott 2019 [80] Clinical trials, cohorts Y Y Workshop/consensus meeting Quantitative scoring
 Rangan 2016 [65] Not stated Y JLA Red-amber-green light
 Ravindran 2018 [74] Not stated Y Workshop/consensus meeting Not stated
 Restall 2016 [21] Not stated Y Other Dotmocracy
 Rowat 2016 [66] Not stated Y Y JLA Quantitative scoring/ Nominal group technique
 Rowbotham 2019 [82] Clinical trials Y JLA Not stated
 Rowe 2014 [67] Not stated Y Y JLA Quantitative scoring/ Nominal group technique
 Ruhl 2019 [83] Randomised controlled trials, Longitudinal studies Y Workshop/consensus meeting Not stated
 Saldanha 2017 [38] Clinical research Y Delphi Quantitative scoring
 Sawford 2014 [12] Longitudinal cohort study Y Delphi Quantitative scoring
 Shepherd 2017 [68] Not stated Y Delphi Quantitative scoring
 Sivananthan 2013 [23] Not stated Y Delphi Quantitative scoring
 Stephens 2015 [69] Not stated Y JLA Not stated
 Thariani 2012 [39] Comparative effectiveness research Y Delphi Quantitative scoring
 Thompson 2019 [84] Clinical trials, cohorts Y Other None
 van der Feltz-Cornelis 2014 [43] Clinical research Y Other Quantitative scoring
 van Middendorp 2016 [70] Not stated Y Y JLA Quantitative scoring
 Vickrey 2013 [40] Not stated Y Delphi Not stated
 Wan 2016 [71] Not stated Y Y JLA Quantitative scoring
 Willett 2010 [72] RCTs Y Y Delphi Quantitative scoring
 Wu 2003 [24] Clinical trials Y Workshop/consensus meeting Not stated
Blended Approach
 Allotey 2019 [75] Clinical trials, IPDM Y Other Quantitative scoring
 Ardoin 2019 [26] Clinical trials Y Other Not stated
 Arora 2017 [73] Not stated Y Y Y CHNRI Weighted scores
 Bahl 2009 [76] Funding agencies and investigators Y Y CHNRI Weighted scores
 Brown 2008 [77] Not stated Y CHNRI Quantitative scoring
 de Graaf 2015 [44]

Translational biomedical

research

Y MCDA Quantitative scoring

 Higginbotham

2015 [35]

Not stated Y CHNRI Weighted scores
 Safdar 2014 [37] Not stated Y

Workshop/consensus

meeting

Quantitative scoring

 Sangvatanakul

2010 [11]

Not stated Y Y Other/Delphi Quantitative scoring
 Schneider 2016 [22] International clinical trials Y Y Delphi Quantitative scoring
 Taylor 2019 [15] Review topics Y MCDA Quantitative scoring
 Thom 2014 [13] Clinical research Y Workshop/consensus meeting Weighted scores
 Tong 2015 [14] Not stated Y Y Workshop/consensus meeting Quantitative scoring
 Yu 2015 [86]

Comparative effectiveness study Reviews

RCTs

Y Other Quantitative scoring
Other
 Viergever 2010 [85] Not stated Y Other Not stated

AHRQ Agency for Healthcare Research and Quality, CHNRI Child Health and Nutrition Research Initiative, IPDM Individual patient data meta-analyses, JLA James Lind Alliance, MCDA Multicriteria decision analysis, RCT Randomised controlled trial

The intended audience for the outcomes of the prioritisation exercise were the funders in 40 studies (51%), researchers in 34 studies (44%), government or policymakers in 13 studies (17%), clinicians in 12 studies (15%), CTNs in 11 studies (14%), the general public in 4 studies (5.1%) and not stated in 20 studies (26%; see Fig. 2d).

A table of the prioritisation approaches is presented in Table 2. Fifty-seven studies used interpretative prioritisation approaches (73%), 14 studies used blended approaches (18%) and six studies used quantitative approaches (8%). Twenty-two studies used the JLA prioritisation tool or a modification thereof (28%), 19 studies used the Delphi methodology (24%) and 11 studies used a workshop or consensus meeting to establish their priorities (18%; see Fig. 3; Table 2). The “Payback” category included quantitative methods such as prospective payback of research (PPoR), expected value of information (EVI), return on investment (ROI) and the “Other” category included methods such as online surveys/questionnaires, focus groups, World Café and mixed methods. Forty-five studies (58%) employed quantitative scoring as a prioritisation method, frequently in the form of nominal group technique (n = 11 studies; 14%). Six studies used weighted scores (8%) and five studies used monetary value (6%). One study each used Agency for Healthcare Research and Quality (AHRQ) criteria, Dotmocracy, forced ranking, red-amber-green light and no prioritisation (1%).

Fig. 3.

Fig. 3

Prioritisation tools used. CHNRI, Child Health and Nutrition Research Initiative; JLA, James Lind Alliance; MCDA, Multiple-criteria Decision Analysis

Over two-thirds of the identified studies (n=53, 68%) did not describe any formal prioritisation criteria. In those that did describe prioritisation criteria, multiple criteria were mentioned. Relevance (i.e. why should we do it? including the burden of disease, equity, and knowledge gaps) was cited in 14 of the 78 included studies (18%). Seven studies (9%) cited criteria related to appropriateness (i.e. should we do it? including scientific rigour and suitability to answer the research question); 17 studies (22%) considered criteria related to significance of research outcomes (i.e. what will we get out of it? including impact, innovation, capacity building); 12 studies (15%) cited feasibility among their prioritisation criteria (i.e. can we do it? including team quality and research environment). Cost-effectiveness was considered by fifteen studies (19%). Five studies cited other prioritisation criteria (6%).

Organisational websites

Thirty-nine websites of research funding organisations and CTNs were reviewed (Appendix), and 18 were found to contain research prioritisation information: one from Australia (6%), two from New Zealand (11%), one from Ireland (6%), eight from Canada (44%) and six from the USA (33%; see Table 3). A table of the clinical disciplines involved is depicted listed in Table 3. The stakeholders most frequently involved in priority setting were researchers (n = 14 websites; 78%) followed by health professionals (n = 12 websites; 67%) and policy/decision makers (n = 11 websites; 61%; see Fig. 4a). Funders and patients were mentioned in seven processes each (39%) and carers/consumers were mentioned six times (33%). Participants or stakeholders were not stated in three occasions (17%; see Fig. 4a).

Table 3.

Websites searched

Citation Country Author group (CTN, funder) Clinical discipline
1 Framework for Identification and Prioritisation of Targeted Calls for Research Australia NHMRC Health and Medical Research
2 National Science Challenge description New Zealand MBIE All
3 New Zealand Health Research Prioritisation Framework New Zealand HRC All
4 Cross-department priorities Ireland Research Prioritisation Project Steering Group All
5 SPOR Patient engagement framework Canada CIHR All
6 Institute for Musculoskeletal Health and Arthritis Canada IMHA Musculoskeletal Health and Arthritis
7 IMHA strategic plan 2014-2018 Canada IMHA Musculoskeletal Health and Arthritis
8 IMHA Priority setting - 2018-2020 National Listening tour Canada IMHA Musculoskeletal Health and Arthritis
9 IMHA fibromyalgia case study Canada IMHA Fibromyalgia
10 Institute for Circulatory and Respiratory Health - ICRH strategic plan 2020 Canada ICRH Circulatory and Respiratory Health
11 Institute for Population and Public Health – IPPH listening tour 2016 Canada IPPH All
12 Institute for Population and Public Health – strategic plan 2009-2014 Canada IPPH All
13 PCORI Methodology report US PCORI All
14 PCORI-Generation and Prioritization of Topics for Funding Announcements US PCORI All
15 NIH Strategic plan 2016-2020 US NIH All
16 NIMH Strategic plan 2020 US NIMH Mental Health
17 NCBI: Priorities in Health 2006 US

The World Bank, WHO, Fogarty

International Center NIH

All
18 NHLBI priority-setting process US NHLBI All

CIHR Canadian Institutes of Health Research, HRC Health Research Council of New Zealand, CTN Clinical trials network, ICRH Institute for Circulatory and Respiratory Health, IMHA Institute for Musculoskeletal Health and Arthritis, IPPH Institute for Population and Public Health, MBIE Ministry of Business, Innovation and Employment, NCBI National Center for Biotechnology Information, NHLBI National Heart, Lung, and Blood Institute, NHMRC National Health and Medical Research Council, NIH National Institutes of Health, NIHR National Institute for Health Research, NIMH National Institute of Mental Health, PCORI Patient-Centered Outcomes Research Institute, SPOR Strategy for Patient-Oriented Research, WHO World Health Organization

Fig. 4.

Fig. 4

Research prioritisation participants, reasons, intended audience and funding criteria from websites of research funders and clinical trial networks. a Participants in the prioritisation exercise. b Reason for prioritisation. c Intended audience for prioritisation. d Funding criteria as reported in organisational websites

A “knowledge gap” was the reason for developing a prioritisation guideline among 10 websites (56%), followed by “wanting to know what was important to patients” (n = 8 websites; 44%). Six organisations mentioned the reason for the priority-setting exercise was to support their vision and mission or to invest strategically and in a balanced way (33%) and five organisations wanted to find the best return on investment (32%; see Fig. 4b). Feasibility of the methodologies used was mentioned once (6%).

The intended audience was in all but one case the general public (n = 17 websites; 94%), followed by the researchers (n = 6 websites; 33%), the government and policymakers (n = 5 websites; 28%) and clinicians or funders (n = 4 websites each; 22%; see Fig. 4c).

As for the prioritisation tools used, three organisations used workshop/consensus meeting (17%), one used the JLA tool, one used payback (VOI) and one used MCDA (6%). Five organisations used other tools (surveys, working groups; 28%) and seven did not describe the tool used (39%). In general, few details were provided in organisational websites to further describe the prioritisation approaches undertaken.

The prioritisation criteria included relevance on 16 occasions (89%), appropriateness on 10 occasions (56%), significance on 14 occasions (78%), feasibility on 9 occasions (50%) and cost-effectiveness on 4 occasions (22%). Two websites did not state any prioritisation criteria (11%; see Fig. 4d).

Discussion

This extensive scoping review summarises findings from international agencies about current methods and approaches to prioritisation of clinical trials undertaken by CTNs and research funders. The main reasons for prioritisation were to address a knowledge gap in clinical decision making, and to define patient-important topics. More than two thirds used an interpretive approach (e.g. James Lind Alliance); a small proportion used a quantitative approach (e.g. prospective payback); and one fifth used a blended approach combining qualitative and quantitative methods (e.g. CHNRI). The most common criteria for prioritisation were significance, relevance and cost-effectiveness.

The rationale for prioritisation of trials on the basis of generating new knowledge to improve clinical decision-making is not surprising, as efficacy and effectiveness trials are designed to answer important questions in patient management [27, 50, 88]. What was less clear, however, was how these trials all with “good” questions were then ranked in order of priority. Consensus-based methods that use an interpretative approach are appealing because of their broad stakeholder engagement; however, the trade-offs between criteria, such as significance versus feasibility, and the subsequent processes for overall ranking of trials are not transparent [89, 90]. This is where blended approaches that include a quantitative component that facilitates objective scoring of trial proposals can assist.

The infrequent use of pure quantitative approaches for prioritisation of trials including burden of disease or value for money is likely due to few standardised methods to view competing claims side by side, or knowing how to weight such criteria. It may also be related to low technical knowledge or expertise within the trials community to generate this information. For example, many clinical trial funders suggest the relevance of the problem to be stated, which is typically reported as burden of disease, incidence or prevalence. When different metrics are used across trial proposals they become difficult to compare, which may lead to grant reviewers considering whether the criterion is satisfied (i.e. is there a substantial burden, [yes/no]), rather than comparing those burdens. Sometimes, the burden is presented as disability-adjusted life years (DALYs), and sometimes, the disease burden is monetized to provide an overview of health system or societal costs. While this provides a common metric on which trial applications can be compared, these estimates are limited to quantifying the current situation; they do not provide insight into the value of the proposed trial in reducing that burden (i.e. the significance), otherwise known as the impact or net benefit.

Value of information (VOI) analysis has emerged as a new framework for quantifying the net benefit of proposed randomised trials. VOI uses a cost-effectiveness modelling approach and takes into account the cost of running the trial and the value of the new trial information to reduce uncertainty with the current clinical decision. The benefit of the health outcomes for the better decision (e.g. using drug A over drug B) is then multiplied across the population at risk using assumptions about post-trial implementation. A VOI analysis can be undertaken for most randomised trials enabling studies in a given portfolio to be ranked from most to least value. This requires capacity building in the health economics and statistics workforce. Efficient methods to calculate VOI are currently underway [91, 92].

An encouraging sign from this review was the emphasis placed on patient-important topics through consumer-generated questions and topic ranking, from both published literature and organisational websites. This ensures that not only are questions important and of interest to clinicians or trialists, but that they also address issues, problems or concerns that are bothering those with the disease and/or undergoing specific treatments. This is especially important for government and non-profit charity funders where the funding for research originates from the general public (i.e. tax-payers), or donors.

The strengths of this review include the dual searching of published and unpublished literature, including organisational websites of international clinical trial networks and trial funders. This approach was likely to identify prioritisation processes that were operational, yet had not been formally described in the peer-reviewed literature. It is a strength that we were able to locate and extract research prioritisation approaches and methods as well as the prioritisation criteria used, as this provides sufficient detail for clinical trials networks and funders to replicate. Our scoping review was limited to studies and websites published in English and therefore may omit relevant studies published in other languages. It was not a systematic review and therefore may not have identified all studies of research prioritisation in the published literature. In addition, we could only tabulate methods where they were clearly described.

Further research consulting consumers, researchers and policy-makers is now needed to develop specific criteria weights for clinical trials networks and coordinating centre members of the Australian Clinical Trials Alliance (ACTA), of international CTNs and funders of clinical trials. Development of tools to aid clinicians and researchers in using quantitative approaches is also needed. Following implementation of a formalised prioritisation process, clinical trials networks and funders will need to then evaluate the process and assess whether the “best” trials are subsequently funded and deliver on their expected benefits [93].

Conclusion

Research prioritisation approaches for groups conducting and funding clinical trials are predominantly interpretative. Given the strengths of a blended approach to prioritisation, there is an opportunity to improve the transparency of process through the inclusion of quantitative techniques.

Acknowledgements

We thank ACTA’s Research Prioritisation Reference Group.

Abbreviations

ACTA

Australian Clinical Trials Alliance

AHRQ

Agency for Healthcare Research and Quality

AKTN

Australasian Kidney Trials Network

ANZCA

Australian and New Zealand College for Anaesthetists

ANZIC-RC

Australian and New Zealand Intensive Care Research Centre

ANZICS

Australian and New Zealand Intensive Care Society

CHNRI

Child Health Nutrition Research Initiative

CTN

Clinical Trial Network

DALY

Disability-adjusted life years

EVI

Expected Value of Information

JLA

James Lind Alliance

MCDA

Multi-criteria Decision Analysis

NHMRC

National Health and Medical Research Council

PPoR

Prospective Payback of Research

ROI

Return on investment

VOI

Value of information

WHOLIS

World Health Organization Library Database

Appendix

Key Australian and international clinical trials networks (CTNs) /clinical disciplines/ clinical specialties and Funders’ websites

Clinical trials network websites

▪ Australia & New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network

▪ Australasian College for Emergency Medicine (ACEM) Clinical Trials Group

▪ Australasian Gastro-Intestinal Trials Group (AGITG)

▪ Australasian Lung Cancer Trials Group (ALTG)

▪ Australasian Radiopharmaceutical Trials Network (ARTNET)

▪ Australasian Sarcoma Study Group (ASSG)

▪ Australasian Society for Infectious Diseases (ASID) Clinical Research Network

▪ Australasian Stroke Trials Network (ASTN)

▪ Australia & New Zealand Breast Cancer Trials Group (ANZBCTG)

▪ Australia & New Zealand Melanoma Trials Group (ANZMTG)

▪ Australia New Zealand Gynaecological Oncology Group (ANZGOG)

▪ Australian & New Zealand Children’s Haematology/Oncology Group (ANZCHOG)

▪ Australian & New Zealand College of Anaesthetists (ANZCA) Clinical Trials Network

▪ Australian & New Zealand Intensive Care Society (ANZICS) Clinical Trials Group

▪ Australian & New Zealand Urogenital & Prostate (ANZUP) Cancer Trials Group

▪ Australian Epilepsy Clinical Trials Network (AECTN)

▪ Australian Paediatric Research Network (APRN)

▪ Australian Primary Care Research Network (APCReN)

▪ Cooperative Trials Group for Neuro-Oncology (COGNO)

▪ Multiple Sclerosis Research Australia Clinical Trials Network (MS Australia)

▪ NSW Better Treatments 4 Kids (BT4K)

▪ Paediatric Research in Emergency Departments International Collaborative (PREDICT)

▪ Paediatric Trials Network Australia (PTNA)

▪ Palliative Care Clinical Studies Collaborative (PaCCSC)

▪ Primary Care Collaborative Cancer Clinical Trial Group (PC4)

▪ Psycho-Oncology Co-operative Research Group (PoCoG)

▪ The Australasian Consortium of Centres for Clinical Cognitive Research (AC4R)

▪ The Australasian Kidney Trials Network (AKTN)

▪ The Australasian Sleep Trials Network (ASTN)

▪ The Spinal Cord Injury Network (SSCIS)

▪ The Australian Type 1 Diabetes Clinical Research Network (T1DCRN)

▪ The Interdisciplinary Maternal Perinatal Australasian Collaborative Trials Network (IMPACT)

▪ Therapeutic and Vaccine Research Program, Kirby Institute

▪ Trans-Tasman Radiation Oncology Group (TROG)

Funders’ websites

National Health and Medical Research Council (NHMRC)—Australia

Medical Research Future Fund (MRFF)—Australia

Medical Research Council (MRC)—United Kingdom

National Institute for Health Research (NIHR)—United Kingdom

Health Research Board (HRB)—Ireland

Canadian Institutes for Health Research (CIHR)—Canada

National Science Challenges (NSCs)—New Zealand

Patient-Centered Outcomes Research Institute (PCORI)—United States James Lind Alliance Evidence Gap Maps

Health Research Council of New Zealand—New Zealand

National Institutes of Health (NIH)—United States

Department of Business, Enterprise and Innovation—Ireland

Authors’ contributions

All authors conceived the idea. RM wrote the first draft. All authors gave intellectual input into the article and approved the final manuscript.

Funding

This project received grant funding from the Australian Government. Salary support for RLM was provided through an Australian NHMRC TRIP Fellowship #1150989 and University of Sydney Robinson Fellowship. HT was supported by an NHMRC ECR Fellowship #1121232.

Availability of data and materials

Data generated and analysed during this study are included in this published article and its supplementary information files.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data generated and analysed during this study are included in this published article and its supplementary information files.


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