PainNCT06726135
The NRC Dataset. Developing a Minimum Dataset for Multidisciplinary Rehabilitation: a Modified E-Delphi Study
An observational study of Pain and Traumatic Brain Injury, run by ThomasCorbett.
Trial summary
Several rehabilitation datasets are presently in use for specific patient groups in England. The 'National Clinical Audit of Specialist Rehabilitation for patients with complex needs following major injury' (NCASRI) evaluated outcomes within a cohort of Major Trauma patients between 2015 and 2018 using data from two… Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Pain, Traumatic Brain Injury, Major Trauma
- How many people
- 50 participants
- Where
- No sites listed yet
- Study dates
- Jan 2025to Jun 2025
- How long will I take part?
- 6 Months
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: The expert panel (study participants) will include clinicians, researchers and managers from a variety of fields. These experts will be purposefully selected based on their knowledge of how best to evaluate the clinical effectiveness and cost efficiency of inpatient rehabilitation services. This knowledge will include an understanding of which outcome measure instruments are most appropriate to monitor patients' health, social and economic outcomes and what demographic and socio-economic variables are important to record. The expert panel will have experience treating the cohort of patients that the National Rehabilitation Centre (NRC) will support or have experience developing trauma / rehabilitation registries.
Who may be able to join
- The panel will aim to include clinicians with a minimum of 5 years' experience from a variety of professional backgrounds within the following specialist areas:
- Neuro Rehab
- Trauma Rehab
- Community Rehab
- Outpatient Rehabilitation services
- Defence medical services
Show all 27Show fewer
- Psychology services
- Amputee Rehab
- Speech and Language therapy
- Emergency department
- Critical Care
- Trauma and Orthopaedics
- Rehabilitation Medicine
- It is expected that the expert panel will include:
- Medical Doctors
- Dietitians
- Physiotherapists
- Psychologists
- Prosthetists
- Occupational therapists
- Speech and Language therapists
- Data-base managers
- Researchers/Academics
- Commissioners
- Local service managers
- A department of work and pensions representative
- An epidemiologist/data-scientist with healthcare financial modelling experience
Who cannot join
- Individuals will be excluded from the expert panel for any of the following reasons:
- They do not have 5 years' experience in their specialist field
- They do not have an understanding of various health indicators and the appropriate outcome measure instruments required to evaluate these health indicators.
- They have no understanding of how demographic and socio-economic variables impact health outcomes
- They have no understanding of how to evaluate clinical effectiveness and cost efficiency of inpatient rehabilitation services.
- Their professional background is not represented in the above noted specialist areas
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: The National Rehabilitation Centre Dataset. Development of a Minimum Dataset for Multidisciplinary Rehabilitation: a Modified E-Delphi Study
Several rehabilitation datasets are presently in use for specific patient groups in England. The 'National Clinical Audit of Specialist Rehabilitation for patients with complex needs following major injury' (NCASRI) evaluated outcomes within a cohort of Major Trauma patients between 2015 and 2018 using data from two of these datasets. The NCASRI project outlined some of the shortcomings of the pre-existing datasets and highlighted the need for a single National Rehabilitation Dataset to provide long term evaluation of a variety of patient presentations.
The proposed study will seek to develop such a dataset by means of an E-delphi study. This study will seek consensus from a panel of experts on the data items required to measure the effectiveness and socio-economic impact of multidisciplinary inpatient rehabilitation. Providing commissioners, researchers and clinicians with the data required to improve patient care, conduct research and develop rehabilitation services.
Read more
There are three potential phases to this study:
- Phase one involves the establishment of a core domain set, outlining what information (data) should be included in the NRC core dataset.
- Phase one will consist of at least 2 rounds of voting, with successive rounds of voting undertaken until an a-priori consensus of 70% is reached for all core data items marked as mandatory/critical data in fitting OMERACT guidelines.
- After 2 rounds, any data item that have reached consensus will be included in the final dataset. These core domain (data items) will then be excluded from subsequent rounds of voting.
- A maximum of 4 rounds will be allowed in Phase 1. At which point the highest-ranking data items remaining with a consensus above 60% from each of the pre-identified categories will be included in the final dataset.
- Phase two will explore what tools should be used to collect the core domains (outcome measure instruments) for each category outlined in phase 1.
- Phase 2 will follow the same protocol for including outcome measure instruments into the core outcome set as were required to include core data items from phase 1.
- If a consensus of equal or greater than 60% cannot be reached using an E-Delphi method in either phase 1 or phase 2 then a virtual meeting will be held amongst all expert panel members to reach consensus using a nominal group technique (phase 3).
Read the detailed description
This methodology of this modified e-Delphi study has been informed by guidelines on 'how to develop core domain/outcome sets' and 'how to conduct Delphi studies' by the Initiative on Methods, Measurements and Pain Assessment in Clinical Trials (IMMPACT), the Core Outcome Measures in Effectiveness Trials (COMET) group, the Outcome Measures in Rheumatology (OMERACT) group and The Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) team. Our study has been peer reviewed by a steering committee of 15 expert clinicians and academics and Nottingham University Hospital NHS foundation Trust's research committee. It is registered on the COSMIN database and will be published in a peer reviewed journal and on the NRC website on completion.
The modified Delphi study process will consist of a minimum of two phases with 2-4 rounds per phase.
E-Delphi software will be used to collect study data to decrease sample attrition and ensure anonymity and minimise power dynamics between participants.
The principal data holder will be the National Rehabilitation Centre as part of Nottingham University Hospitals Trust. The NRC will hold all rights for publication of the data, study protocol, full study report and anonymised participant level data. Authorship will be granted to aforementioned chief investigator and key contributors to this protocol, each of whom will also be involved in review of the final study results.
Full Methodology
Recruitment of the expert panel:
- The NRC dataset steering committee or one of their nominees will recruit participants through purposive snowball sampling using standardised email invites
- Each nominee will receive a document outlining the study background, aims, objectives, participant eligibility and methodology.
- If participants agree to partake in the e-Delphi study they will contact the CI directly.
- Upon receipt of a potential participant's expression of interest the CI will invite them to propose further study participants, outlining the specialist areas that still required on the expert panel. The participants will also be provided with a consent form and participant information sheet.
- If nominees don't reply to invitations a follow-up email will be sent 10 days later. If there is no further communication, no further contact will be attempted.
- If participants feel they meet the eligibility criteria, they must return a signed consent form to the CI as evidence of their intention to partake in the study. Participants are free to withdraw from the study at any time. No form of incentive will be provided.
- The CI will countersign consent forms to confirm that study participants have signed and completed the form correctly. The participant is then assigned a study ID and provided with a copy of their countersigned consent form. At this point, the participant is asked to enter their professional experience and key demographic details into a JISC questionnaire. This information will be used to ensure that the expert panel is sufficiently diverse and represent the case-mix of patients being treated at the NRC.
- The research team will confirm that the participant meets the eligibility criteria after reviewing the answers given in the JISC questionnaire.
- Once a heterogenous panel of experts has been recruited or no further individuals are being nominated to be included in the expert panel, recruitment will close and the study will be formally launched.
- At this point, all participant will be sent key documents and research papers, intended to inform their decision making during the Delphi process.
- It is expected that the study will over-recruit by 20-30%, reaching a total of circa 50-60 individual participants. This allows for 2-3 experts in each field of practice.
- Participants will be provided with a background document summarising the Rehabilitation Datasets being utilised internationally and key research papers relevant to the study. Phase 1: Exploring what information (data items) must be collected as part of the NRC's minimum dataset Round 1:
- An initial list of proposed Core Data Items (outcome domains) agreed upon by the NRC dataset steering committee will be provided to the expert panel
- These core data items (outcome domains) will include:
- Demographic information ii. Health indicators and associated outcome measures iii. Socio-economic data (healthcare costs, salary etc.) iv. Service delivery/care pathway variables (admission, transfer and discharge dates/locations etc.) v. Information associated with previous social function, employment and education and return to these activities following their injury/illness. vi. Injury/condition-specific data
- Participants will priority rank each of the proposed data items based on the criteria outlined below.
- Experts will also return a list of additional 'core' data items (outcome domains) they feel should be included in the National Rehabilitation Dataset by answering the question 'What additional data should be routinely collected for all rehabilitation patients in order to describe care and outcomes?'
- At this time panel members will not be asked for matched outcome measures, but are encouraged to take note of these for later rounds and include them in comments. No limit will be placed on the number of data items proposed and participants will be encouraged to leave comments to express their opinion on any given item. Each data item will be ranked on a 9-point scale based on COMET initiative and OMERACT guidance as follows: (1-3) = 'Critical / Mandatory domains' (data that is considered essential for documentation and reporting the effectiveness and cost efficiency of the rehabilitation being provided) (4-6) = 'Important but not critical / important but optional domains' (data that improves the quality of data collected but is not critical to evaluating rehabilitation effectiveness and cost efficiency) (7-9) = 'Not that important / useful for research purposes' (optional data items that may supplement the core dataset for research purposes or specialist populations) Rounds 2-4:
- All ranked data items will be anonymised and re-distributed to the expert panel. Each expert will evaluate their ranked responses before returning a final list to the Delphi coordinator. No limit will be placed on the required number of data items or health indicators that could be proposed.
- The newly ranked list of data items will be re-distributed to the expert panel. Clearly outlining any uncertainties and disagreements to the expert panel for further consideration.
- Any data item that has reached consensus of >70% after round 2 will be included in the final dataset. These core domains (data items) will then be excluded from subsequent rounds of voting.
- If consensus is not met in round 2 then this round will be repeated until such a time that consensus is achieved prior to moving onto phase 2
- If a consensus of >70% is not achieved in each of the core outcome domains after 4 round of voting, the highest-ranked responses with a consensus >60% will be accepted.
- A written report summarising the proposed 'core' data items (outcome domains) will be distributed to the expert panel.
- A video will be recorded by the study coordinator to present the consensus findings. Outlining the proposed 'core' data items and health indicators to be included in the NRC dataset, before outlining the next steps in the Delphi study.
- Any ranked responses from phase 1 with 50-70% consensus as critical/mandatory that were not included in the final dataset will be included in the supplemental dataset alongside data items marked as 'important but not critical/optional domains' with a stable response rate. Phase 2: What tools should be used to evaluate the data items outlined in phase 1 Round 1:
- The expert panel will propose a list of outcome measure instruments to evaluate each of the proposed 'core' data items (inc. health indicators) identified in phase 1.
- This list should be priority ranked based on the OMERACT and COSMIN checklists. Principally basing ranked choices on, (1) The appropriateness of the proposed outcome measure for the given population and (2) The quality of the outcome measure based on its reliability, validity, responsiveness to change and interpretability of the outcome data.
- Where an outcome measure instrument is not required to measure fixed domains such as biological sex at birth or occupational status, the CI will include wording from the NHS data model/dictionary. Participants will be asked to comment on the domain wording. Ranked choices for each core data item will be ranks from 1-8 as follows: 1-4 = Most appropriate outcome measure instrument / Domain 5-8 = Optional / supplemental outcome measure instrument / Domain that could be used for specific patient populations or for research purposes. Round 2-4:
- The proposed outcome measures and their matched health indicators or data items will be anonymised and re-distributed to the expert panel, alongside a table outlining each outcome measure instrument's validity, reliability and responsiveness.
- In round 2 participants will evaluate their ranked responses and return their final list.
- A written report summarising the proposed 'core' data items and their associated outcome measure instruments, with any uncertainties / disagreements will be distributed to the expert panel.
- Any outcome measure that has reached consensus of >70% will be included in the final dataset. The core domains (data items) these outcome measures assess will then be excluded from subsequent rounds of voting.
- If consensus is not met in round 2 then this round will be repeated until such a time that consensus is achieved or 4 rounds are completed in phase 2. At this point the highest-ranked responses with a consensus >60% from each of the pre-identified categories will be accepted.
- The finalised COS will be created and re-distributed to the panel for final approval alongside a short video presenting the consensus findings from phases 1 and 2 linking the study conclusions to International Classification of Disability and Health (ICF) core outcome sets and other relevant research.
Phase 3 (Optional):
If consensus was not achieved in phase 1 or 2 a nominal group technique will be used to reach consensus over the course of 1 working day.
During phase 3 the expert panel will discuss the supporting literature for each domain where uncertainty remains before voting on a final dataset.
If a consensus cannot be achieved, the meeting chair will have a deciding vote.
Data Analysis This study will use a mixed method approach of Quantitative and Qualitative analysis.
Quantitative analysis will include calculating the arithmetic mean and mode values before exploring standard deviations and interquartile ranges of the participant responses to represent the percentage agreement between participants' ratings (consensus). An outlier analysis will be completed to identify and exclude any results that could skew the interquartile range.
Qualitative analysis will include a thematic and content analysis of the statements each participant makes about a given topic or question using excel to aggregate and count similarly themed comments.
Thematic analysis will be coded as beliefs/opinions, differentiations, cause-effect relationships, examples, experiences, trends, no information, or misunderstandings.
Content analysis of participant's comments will be used to identify outcome measure instruments and other data items proposed by greater than one participant after each round. These will then be included into subsequent rounds of voting.
- Conditions
- Pain, Traumatic Brain Injury, Major Trauma, Multiple Sclerosis, Amputees / Rehabilitation, Spinal Cord Injuries (SCI)
- Keywords
- E-delphi, Delphi, Multidisciplinary, Rehabilitation, Core outcome set, Dataset, national rehabilitation centre, outcome measure instruments, inpatient
- Medical subject headings
- Pain, Brain Injuries, Traumatic, Multiple Sclerosis, Spinal Cord Injuries, Conversion Disorder
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Experts in the field of rehabilitation with knowledge in outcome monitoring and service evaluation | This study has one study cohort, consisting of a diverse panel of expert clinicians, researchers and managers from a variety of professional backgrounds. These study participants will be purposefully selected based on their knowledge of which demographic, socio-economic and healthcare related variables, as well as any associated outcome measure instruments should be collected as part of a rehabilitation dataset to evaluate the clinical efficacy and cost effectiveness of inpatient multidisciplinary rehabilitation. |
What is being measured
The primary outcome is the main question the study is designed to answer.
To develop a Core Outcome Set (COS) for rehabilitation to be used as the foundation of the National Rehabilitation Centre Dataset.
The core outcome set (Primary outcome) will include core data Items centered on 6 key themes:
- Demographic variables
- Health indicators and associated outcome measures
- Socio-economic variables (healthcare costs, salary etc.)
- Service delivery/care pathway variables (admission, transfer and discharge dates/locations etc.)
- Information associated with previous social function, employment and education and return to these activities following their injury/illness.
- Injury/condition-specific data
Each data item will include details regarding how this item will be measured
Measured: From enrolment to conclusion of the stufy (6 months)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Dec 2024
- Study startJan 2025 (estimated)
- Primary completionJun 2025 (estimated)
- Study completionJun 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (18)Papers the sponsor has linked to this study.
- Other trials for PainStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 50 participants (estimated)
- Target duration
- 6 Months
Sponsor and investigators
- Lead sponsor
- ThomasCorbett
- Sponsor type
- University, hospital or other
- Collaborators
- Nottingham University Hospitals NHS Trust
- Responsible party
- Sponsor-investigator, ThomasCorbett, Nottingham University Hospitals NHS Trust
- Investigators
- Thomas Corbett, MSc, Principal investigator, Research at the National Rehabilitation Centre (part of Nottingham University Hospital NHS Trust)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06726135
- Sponsor's protocol ID
- 345539
- Status last verified
- Dec 2024
- First submitted
- 5 Dec 2024
- Last updated
- 19 Dec 2024
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Young AM, Chung H, Chaplain A, Lowe JR; STARS Rehabilitation Dataset Development Group; Wallace SJ. Development of a minimum dataset for subacute rehabilitation: a three-round e-Delphi consensus study. BMJ Open. 2022 Mar 25;12(3):e058725. doi: 10.1136/bmjopen-2021-058725.
PubMed 35338067Hernandez-Segura N, Marcos-Delgado A, Pinto-Carral A, Fernandez-Villa T, Molina AJ. Health-Related Quality of Life (HRQOL) Instruments and Mobility: A Systematic Review. Int J Environ Res Public Health. 2022 Dec 8;19(24):16493. doi: 10.3390/ijerph192416493.
PubMed 36554369Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011 Dec;20(10):1727-36. doi: 10.1007/s11136-011-9903-x. Epub 2011 Apr 9.
PubMed 21479777Cieza A, Kirchberger I, Biering-Sorensen F, Baumberger M, Charlifue S, Post MW, Campbell R, Kovindha A, Ring H, Sinnott A, Kostanjsek N, Stucki G. ICF Core Sets for individuals with spinal cord injury in the long-term context. Spinal Cord. 2010 Apr;48(4):305-12. doi: 10.1038/sc.2009.183. Epub 2010 Jan 12.
PubMed 20065984Fresk M, Grooten WJA, Brodin N, Backlund LG, Arrelov B, Skaner Y, Kiessling A. Mapping information regarding the work-related disability of depression and long-term musculoskeletal pain to the International Classification of Functioning, Disability and Health and ICF Core Sets. Front Rehabil Sci. 2023 May 2;4:1159208. doi: 10.3389/fresc.2023.1159208. eCollection 2023.
PubMed 37200737Cieza A, Stucki G, Weigl M, Kullmann L, Stoll T, Kamen L, Kostanjsek N, Walsh N. ICF Core Sets for chronic widespread pain. J Rehabil Med. 2004 Jul;(44 Suppl):63-8. doi: 10.1080/16501960410016046.
PubMed 15370750Oral A, Kiekens C, DE Vriendt P, Satink T, VAN DE Velde D, Grazio S, Moslavac S, Schnurrer-Luke-Vrbanic T, Vlak T, Kontaxakis A, Rapidi CA, Pyrgeli M, Stavrianou A, Kujawa J, Tederko P, Kucukdeveci AA, Sezgin M, Zampolini M, Stucki G, Selb M. Development of simple descriptions of the ICF Generic-30 Set in different languages: laying the foundation for an ICF-based clinical tool for Europe. Eur J Phys Rehabil Med. 2023 Jun;59(3):271-283. doi: 10.23736/S1973-9087.23.07932-7. Epub 2023 Apr 21.
PubMed 37083101Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, Kerns RD, Stucki G, Allen RR, Bellamy N, Carr DB, Chandler J, Cowan P, Dionne R, Galer BS, Hertz S, Jadad AR, Kramer LD, Manning DC, Martin S, McCormick CG, McDermott MP, McGrath P, Quessy S, Rappaport BA, Robbins W, Robinson JP, Rothman M, Royal MA, Simon L, Stauffer JW, Stein W, Tollett J, Wernicke J, Witter J; IMMPACT. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005 Jan;113(1-2):9-19. doi: 10.1016/j.pain.2004.09.012. No abstract available.
PubMed 15621359Beiderbeck D, Frevel N, von der Gracht HA, Schmidt SL, Schweitzer VM. Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements. MethodsX. 2021 May 28;8:101401. doi: 10.1016/j.mex.2021.101401. eCollection 2021.
PubMed 34430297Kirkham JJ, Gorst S, Altman DG, Blazeby JM, Clarke M, Devane D, Gargon E, Moher D, Schmitt J, Tugwell P, Tunis S, Williamson PR. Core Outcome Set-STAndards for Reporting: The COS-STAR Statement. PLoS Med. 2016 Oct 18;13(10):e1002148. doi: 10.1371/journal.pmed.1002148. eCollection 2016 Oct.
PubMed 27755541Kirkham JJ, Davis K, Altman DG, Blazeby JM, Clarke M, Tunis S, Williamson PR. Core Outcome Set-STAndards for Development: The COS-STAD recommendations. PLoS Med. 2017 Nov 16;14(11):e1002447. doi: 10.1371/journal.pmed.1002447. eCollection 2017 Nov.
PubMed 29145404Schmitt J, Apfelbacher C, Spuls PI, Thomas KS, Simpson EL, Furue M, Chalmers J, Williams HC. The Harmonizing Outcome Measures for Eczema (HOME) roadmap: a methodological framework to develop core sets of outcome measurements in dermatology. J Invest Dermatol. 2015 Jan;135(1):24-30. doi: 10.1038/jid.2014.320. Epub 2014 Sep 4.
PubMed 25186228Boers M, Kirwan JR, Wells G, Beaton D, Gossec L, d'Agostino MA, Conaghan PG, Bingham CO 3rd, Brooks P, Landewe R, March L, Simon LS, Singh JA, Strand V, Tugwell P. Developing core outcome measurement sets for clinical trials: OMERACT filter 2.0. J Clin Epidemiol. 2014 Jul;67(7):745-53. doi: 10.1016/j.jclinepi.2013.11.013. Epub 2014 Feb 28.
PubMed 24582946Nasa P, Jain R, Juneja D. Delphi methodology in healthcare research: How to decide its appropriateness. World J Methodol. 2021 Jul 20;11(4):116-129. doi: 10.5662/wjm.v11.i4.116. eCollection 2021 Jul 20.
PubMed 34322364Gattrell WT, Logullo P, van Zuuren EJ, Price A, Hughes EL, Blazey P, Winchester CC, Tovey D, Goldman K, Hungin AP, Harrison N. ACCORD (ACcurate COnsensus Reporting Document): A reporting guideline for consensus methods in biomedicine developed via a modified Delphi. PLoS Med. 2024 Jan 23;21(1):e1004326. doi: 10.1371/journal.pmed.1004326. eCollection 2024 Jan.
PubMed 38261576
Study at a glance
From the registry record, last updated by the sponsor on 19 Dec 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The National Rehabilitation Centre Dataset. Development of a Minimum Dataset for Multidisciplinary Rehabilitation: a Modified E-Delphi Study
- ClinicalTrials.gov ID
- NCT06726135
- Acronym / sponsor ID
- 345539
- Conditions
- Pain, Traumatic Brain Injury, Major Trauma, Multiple Sclerosis, Amputees / Rehabilitation, Spinal Cord Injuries (SCI)
- Keywords
- E-delphi, Delphi, Multidisciplinary, Rehabilitation, Core outcome set, Dataset, national rehabilitation centre, outcome measure instruments
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- ThomasCorbettUniversity, hospital or other
- Collaborators
- Nottingham University Hospitals NHS Trust
- Study start
- Jan 2025 (estimated)
- Primary completion
- Jun 2025 (estimated)
- Study completion
- Jun 2025 (estimated)
- First posted
- 10 Dec 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Several rehabilitation datasets are presently in use for specific patient groups in England. The 'National Clinical Audit of Specialist Rehabilitation for patients with complex needs following major injury' (NCASRI) evaluated outcomes within a cohort of Major Trauma patients between 2015 and 2018 using data from two of these datasets. The NCASRI project outlined some of the shortcomings of the pre-existing datasets and highlighted the need for a single National Rehabilitation Dataset to provide long term evaluation of a variety of patient presentations.
The proposed study will seek to develop such a dataset by means of an E-delphi study. This study will seek consensus from a panel of experts on the data items required to measure the effectiveness and socio-economic impact of multidisciplinary inpatient rehabilitation. Providing commissioners, researchers and clinicians with the data required to improve patient care, conduct research and develop rehabilitation services.
There are three potential phases to this study:
- Phase one involves the establishment of a core domain set, outlining what information (data) should be included in the NRC core dataset.
- Phase one will consist of at least 2 rounds of voting, with successive rounds of voting undertaken until an a-priori consensus of 70% is reached for all core data items marked as mandatory/critical data in fitting OMERACT guidelines.
- After 2 rounds, any data item that have reached consensus will be included in the final dataset. These core domain (data items) will then be excluded from subsequent rounds of voting.
- A maximum of 4 rounds will be allowed in Phase 1. At which point the highest-ranking data items remaining with a consensus above 60% from each of the pre-identified categories will be included in the final dataset.
- Phase two will explore what tools should be used to collect the core domains (outcome measure instruments) for each category outlined in phase 1.
- Phase 2 will follow the same protocol for including outcome measure instruments into the core outcome set as were required to include core data items from phase 1.
- If a consensus of equal or greater than 60% cannot be reached using an E-Delphi method in either phase 1 or phase 2 then a virtual meeting will be held amongst all expert panel members to reach consensus using a nominal group technique (phase 3).
Detailed description
This methodology of this modified e-Delphi study has been informed by guidelines on 'how to develop core domain/outcome sets' and 'how to conduct Delphi studies' by the Initiative on Methods, Measurements and Pain Assessment in Clinical Trials (IMMPACT), the Core Outcome Measures in Effectiveness Trials (COMET) group, the Outcome Measures in Rheumatology (OMERACT) group and The Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) team. Our study has been peer reviewed by a steering committee of 15 expert clinicians and academics and Nottingham University Hospital NHS foundation Trust's research committee. It is registered on the COSMIN database and will be published in a peer reviewed journal and on the NRC website on completion.
The modified Delphi study process will consist of a minimum of two phases with 2-4 rounds per phase.
E-Delphi software will be used to collect study data to decrease sample attrition and ensure anonymity and minimise power dynamics between participants.
The principal data holder will be the National Rehabilitation Centre as part of Nottingham University Hospitals Trust. The NRC will hold all rights for publication of the data, study protocol, full study report and anonymised participant level data. Authorship will be granted to aforementioned chief investigator and key contributors to this protocol, each of whom will also be involved in review of the final study results.
Full Methodology
Recruitment of the expert panel:
- The NRC dataset steering committee or one of their nominees will recruit participants through purposive snowball sampling using standardised email invites
- Each nominee will receive a document outlining the study background, aims, objectives, participant eligibility and methodology.
- If participants agree to partake in the e-Delphi study they will contact the CI directly.
- Upon receipt of a potential participant's expression of interest the CI will invite them to propose further study participants, outlining the specialist areas that still required on the expert panel. The participants will also be provided with a consent form and participant information sheet.
- If nominees don't reply to invitations a follow-up email will be sent 10 days later. If there is no further communication, no further contact will be attempted.
- If participants feel they meet the eligibility criteria, they must return a signed consent form to the CI as evidence of their intention to partake in the study. Participants are free to withdraw from the study at any time. No form of incentive will be provided.
- The CI will countersign consent forms to confirm that study participants have signed and completed the form correctly. The participant is then assigned a study ID and provided with a copy of their countersigned consent form. At this point, the participant is asked to enter their professional experience and key demographic details into a JISC questionnaire. This information will be used to ensure that the expert panel is sufficiently diverse and represent the case-mix of patients being treated at the NRC.
- The research team will confirm that the participant meets the eligibility criteria after reviewing the answers given in the JISC questionnaire.
- Once a heterogenous panel of experts has been recruited or no further individuals are being nominated to be included in the expert panel, recruitment will close and the study will be formally launched.
- At this point, all participant will be sent key documents and research papers, intended to inform their decision making during the Delphi process.
- It is expected that the study will over-recruit by 20-30%, reaching a total of circa 50-60 individual participants. This allows for 2-3 experts in each field of practice.
- Participants will be provided with a background document summarising the Rehabilitation Datasets being utilised internationally and key research papers relevant to the study. Phase 1: Exploring what information (data items) must be collected as part of the NRC's minimum dataset Round 1:
- An initial list of proposed Core Data Items (outcome domains) agreed upon by the NRC dataset steering committee will be provided to the expert panel
- These core data items (outcome domains) will include:
- Demographic information ii. Health indicators and associated outcome measures iii. Socio-economic data (healthcare costs, salary etc.) iv. Service delivery/care pathway variables (admission, transfer and discharge dates/locations etc.) v. Information associated with previous social function, employment and education and return to these activities following their injury/illness. vi. Injury/condition-specific data
- Participants will priority rank each of the proposed data items based on the criteria outlined below.
- Experts will also return a list of additional 'core' data items (outcome domains) they feel should be included in the National Rehabilitation Dataset by answering the question 'What additional data should be routinely collected for all rehabilitation patients in order to describe care and outcomes?'
- At this time panel members will not be asked for matched outcome measures, but are encouraged to take note of these for later rounds and include them in comments. No limit will be placed on the number of data items proposed and participants will be encouraged to leave comments to express their opinion on any given item. Each data item will be ranked on a 9-point scale based on COMET initiative and OMERACT guidance as follows: (1-3) = 'Critical / Mandatory domains' (data that is considered essential for documentation and reporting the effectiveness and cost efficiency of the rehabilitation being provided) (4-6) = 'Important but not critical / important but optional domains' (data that improves the quality of data collected but is not critical to evaluating rehabilitation effectiveness and cost efficiency) (7-9) = 'Not that important / useful for research purposes' (optional data items that may supplement the core dataset for research purposes or specialist populations) Rounds 2-4:
- All ranked data items will be anonymised and re-distributed to the expert panel. Each expert will evaluate their ranked responses before returning a final list to the Delphi coordinator. No limit will be placed on the required number of data items or health indicators that could be proposed.
- The newly ranked list of data items will be re-distributed to the expert panel. Clearly outlining any uncertainties and disagreements to the expert panel for further consideration.
- Any data item that has reached consensus of >70% after round 2 will be included in the final dataset. These core domains (data items) will then be excluded from subsequent rounds of voting.
- If consensus is not met in round 2 then this round will be repeated until such a time that consensus is achieved prior to moving onto phase 2
- If a consensus of >70% is not achieved in each of the core outcome domains after 4 round of voting, the highest-ranked responses with a consensus >60% will be accepted.
- A written report summarising the proposed 'core' data items (outcome domains) will be distributed to the expert panel.
- A video will be recorded by the study coordinator to present the consensus findings. Outlining the proposed 'core' data items and health indicators to be included in the NRC dataset, before outlining the next steps in the Delphi study.
- Any ranked responses from phase 1 with 50-70% consensus as critical/mandatory that were not included in the final dataset will be included in the supplemental dataset alongside data items marked as 'important but not critical/optional domains' with a stable response rate. Phase 2: What tools should be used to evaluate the data items outlined in phase 1 Round 1:
- The expert panel will propose a list of outcome measure instruments to evaluate each of the proposed 'core' data items (inc. health indicators) identified in phase 1.
- This list should be priority ranked based on the OMERACT and COSMIN checklists. Principally basing ranked choices on, (1) The appropriateness of the proposed outcome measure for the given population and (2) The quality of the outcome measure based on its reliability, validity, responsiveness to change and interpretability of the outcome data.
- Where an outcome measure instrument is not required to measure fixed domains such as biological sex at birth or occupational status, the CI will include wording from the NHS data model/dictionary. Participants will be asked to comment on the domain wording. Ranked choices for each core data item will be ranks from 1-8 as follows: 1-4 = Most appropriate outcome measure instrument / Domain 5-8 = Optional / supplemental outcome measure instrument / Domain that could be used for specific patient populations or for research purposes. Round 2-4:
- The proposed outcome measures and their matched health indicators or data items will be anonymised and re-distributed to the expert panel, alongside a table outlining each outcome measure instrument's validity, reliability and responsiveness.
- In round 2 participants will evaluate their ranked responses and return their final list.
- A written report summarising the proposed 'core' data items and their associated outcome measure instruments, with any uncertainties / disagreements will be distributed to the expert panel.
- Any outcome measure that has reached consensus of >70% will be included in the final dataset. The core domains (data items) these outcome measures assess will then be excluded from subsequent rounds of voting.
- If consensus is not met in round 2 then this round will be repeated until such a time that consensus is achieved or 4 rounds are completed in phase 2. At this point the highest-ranked responses with a consensus >60% from each of the pre-identified categories will be accepted.
- The finalised COS will be created and re-distributed to the panel for final approval alongside a short video presenting the consensus findings from phases 1 and 2 linking the study conclusions to International Classification of Disability and Health (ICF) core outcome sets and other relevant research.
Phase 3 (Optional):
If consensus was not achieved in phase 1 or 2 a nominal group technique will be used to reach consensus over the course of 1 working day.
During phase 3 the expert panel will discuss the supporting literature for each domain where uncertainty remains before voting on a final dataset.
If a consensus cannot be achieved, the meeting chair will have a deciding vote.
Data Analysis This study will use a mixed method approach of Quantitative and Qualitative analysis.
Quantitative analysis will include calculating the arithmetic mean and mode values before exploring standard deviations and interquartile ranges of the participant responses to represent the percentage agreement between participants' ratings (consensus). An outlier analysis will be completed to identify and exclude any results that could skew the interquartile range.
Qualitative analysis will include a thematic and content analysis of the statements each participant makes about a given topic or question using excel to aggregate and count similarly themed comments.
Thematic analysis will be coded as beliefs/opinions, differentiations, cause-effect relationships, examples, experiences, trends, no information, or misunderstandings.
Content analysis of participant's comments will be used to identify outcome measure instruments and other data items proposed by greater than one participant after each round. These will then be included into subsequent rounds of voting.
Study design
- Observational model
- Other
- Time perspective
- Prospective
- Target follow-up
- 6 Months
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Experts in the field of rehabilitation with knowledge in outcome monitoring and service evaluation | – | –This study has one study cohort, consisting of a diverse panel of expert clinicians, researchers and managers from a variety of professional backgrounds. These study participants will be purposefully selected based on their knowledge of which demographic, socio-economic and healthcare related variables, as well as any associated outcome measure instruments should be collected as part of a rehabilitation dataset to evaluate the clinical efficacy and cost effectiveness of inpatient multidisciplinary rehabilitation. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- The expert panel (study participants) will include clinicians, researchers and managers from a variety of fields. These experts will be purposefully selected based on their knowledge of how best to evaluate the clinical effectiveness and cost efficiency of inpatient rehabilitation services. This knowledge will include an understanding of which outcome measure instruments are most appropriate to monitor patients' health, social and economic outcomes and what demographic and socio-economic variables are important to record. The expert panel will have experience treating the cohort of patients that the National Rehabilitation Centre (NRC) will support or have experience developing trauma / rehabilitation registries.
Key inclusion criteria (27 listed)
- The panel will aim to include clinicians with a minimum of 5 years' experience from a variety of professional backgrounds within the following specialist areas:
- Neuro Rehab
- Trauma Rehab
- Community Rehab
- Outpatient Rehabilitation services
Key exclusion criteria (6 listed)
- They do not have 5 years' experience in their specialist field
- They do not have an understanding of various health indicators and the appropriate outcome measure instruments required to evaluate these health indicators.
- They have no understanding of how demographic and socio-economic variables impact health outcomes
- They have no understanding of how to evaluate clinical effectiveness and cost efficiency of inpatient rehabilitation services.
- Their professional background is not represented in the above noted specialist areas
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
To develop a Core Outcome Set (COS) for rehabilitation to be used as the foundation of the National Rehabilitation Centre Dataset.
Time frame: From enrolment to conclusion of the stufy (6 months)
The core outcome set (Primary outcome) will include core data Items centered on 6 key themes: 1. Demographic variables 2. Health indicators and associated outcome measures 3. Socio-economic variables (healthcare costs, salary etc.) 4. Service delivery/care pathway variables (admission, transfer and discharge dates/locations etc.) 5. Information associated with previous social function, employment and education and return to these activities following their injury/illness. 6. Injury/condition-specific data Each data item will include details regarding how this item will be measured
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Dec 2024.
- Background: PubMed 35338067Young AM, Chung H, Chaplain A, Lowe JR; STARS Rehabilitation Dataset Development Group; Wallace SJ. Development of a minimum dataset for subacute rehabilitation: a three-round e-Delphi consensus study. BMJ Open. 2022 Mar 25;12(3):e058725. doi: 10.1136/bmjopen-2021-058725.
- Background: PubMed 36554369Hernandez-Segura N, Marcos-Delgado A, Pinto-Carral A, Fernandez-Villa T, Molina AJ. Health-Related Quality of Life (HRQOL) Instruments and Mobility: A Systematic Review. Int J Environ Res Public Health. 2022 Dec 8;19(24):16493. doi: 10.3390/ijerph192416493.
- Background: PubMed 21479777Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011 Dec;20(10):1727-36. doi: 10.1007/s11136-011-9903-x. Epub 2011 Apr 9.
- Background: PubMed 20065984Cieza A, Kirchberger I, Biering-Sorensen F, Baumberger M, Charlifue S, Post MW, Campbell R, Kovindha A, Ring H, Sinnott A, Kostanjsek N, Stucki G. ICF Core Sets for individuals with spinal cord injury in the long-term context. Spinal Cord. 2010 Apr;48(4):305-12. doi: 10.1038/sc.2009.183. Epub 2010 Jan 12.
- Background: PubMed 37200737Fresk M, Grooten WJA, Brodin N, Backlund LG, Arrelov B, Skaner Y, Kiessling A. Mapping information regarding the work-related disability of depression and long-term musculoskeletal pain to the International Classification of Functioning, Disability and Health and ICF Core Sets. Front Rehabil Sci. 2023 May 2;4:1159208. doi: 10.3389/fresc.2023.1159208. eCollection 2023.
- Background: PubMed 15370750Cieza A, Stucki G, Weigl M, Kullmann L, Stoll T, Kamen L, Kostanjsek N, Walsh N. ICF Core Sets for chronic widespread pain. J Rehabil Med. 2004 Jul;(44 Suppl):63-8. doi: 10.1080/16501960410016046.
- Background: PubMed 37083101Oral A, Kiekens C, DE Vriendt P, Satink T, VAN DE Velde D, Grazio S, Moslavac S, Schnurrer-Luke-Vrbanic T, Vlak T, Kontaxakis A, Rapidi CA, Pyrgeli M, Stavrianou A, Kujawa J, Tederko P, Kucukdeveci AA, Sezgin M, Zampolini M, Stucki G, Selb M. Development of simple descriptions of the ICF Generic-30 Set in different languages: laying the foundation for an ICF-based clinical tool for Europe. Eur J Phys Rehabil Med. 2023 Jun;59(3):271-283. doi: 10.23736/S1973-9087.23.07932-7. Epub 2023 Apr 21.
- Background: PubMed 15621359Dworkin RH, Turk DC, Farrar JT, Haythornthwaite JA, Jensen MP, Katz NP, Kerns RD, Stucki G, Allen RR, Bellamy N, Carr DB, Chandler J, Cowan P, Dionne R, Galer BS, Hertz S, Jadad AR, Kramer LD, Manning DC, Martin S, McCormick CG, McDermott MP, McGrath P, Quessy S, Rappaport BA, Robbins W, Robinson JP, Rothman M, Royal MA, Simon L, Stauffer JW, Stein W, Tollett J, Wernicke J, Witter J; IMMPACT. Core outcome measures for chronic pain clinical trials: IMMPACT recommendations. Pain. 2005 Jan;113(1-2):9-19. doi: 10.1016/j.pain.2004.09.012. No abstract available.
- Background: PubMed 34430297Beiderbeck D, Frevel N, von der Gracht HA, Schmidt SL, Schweitzer VM. Preparing, conducting, and analyzing Delphi surveys: Cross-disciplinary practices, new directions, and advancements. MethodsX. 2021 May 28;8:101401. doi: 10.1016/j.mex.2021.101401. eCollection 2021.
- Background: PubMed 27755541Kirkham JJ, Gorst S, Altman DG, Blazeby JM, Clarke M, Devane D, Gargon E, Moher D, Schmitt J, Tugwell P, Tunis S, Williamson PR. Core Outcome Set-STAndards for Reporting: The COS-STAR Statement. PLoS Med. 2016 Oct 18;13(10):e1002148. doi: 10.1371/journal.pmed.1002148. eCollection 2016 Oct.
- Background: PubMed 29145404Kirkham JJ, Davis K, Altman DG, Blazeby JM, Clarke M, Tunis S, Williamson PR. Core Outcome Set-STAndards for Development: The COS-STAD recommendations. PLoS Med. 2017 Nov 16;14(11):e1002447. doi: 10.1371/journal.pmed.1002447. eCollection 2017 Nov.
- Background: PubMed 25186228Schmitt J, Apfelbacher C, Spuls PI, Thomas KS, Simpson EL, Furue M, Chalmers J, Williams HC. The Harmonizing Outcome Measures for Eczema (HOME) roadmap: a methodological framework to develop core sets of outcome measurements in dermatology. J Invest Dermatol. 2015 Jan;135(1):24-30. doi: 10.1038/jid.2014.320. Epub 2014 Sep 4.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Thomas Corbett, MSc principal investigator
Research at the National Rehabilitation Centre (part of Nottingham University Hospital NHS Trust)
Questions about this trial
What is this clinical trial studying?
An observational study of Pain and Traumatic Brain Injury, run by ThomasCorbett.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 27 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 19 Dec 2024. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Pauline Hyman-Taylor (0115 924 9924, pauline.hymantaylor@nhs.net), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
To develop a Core Outcome Set (COS) for rehabilitation to be used as the foundation of the National Rehabilitation Centre Dataset. (time frame: From enrolment to conclusion of the stufy (6 months)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06726135, which also lists 18 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Dec 2024.