| Literature DB >> 34895305 |
Jane A H Masoli1,2, Kim Down3, Gary Nestor3, Sharon Hudson4, John T O'Brien5,6, James D Williamson7, Carolyn A Young8,9, Camille Carroll10.
Abstract
BACKGROUND: Prior to the COVID-19 pandemic, the majority of clinical trial activity took place face to face within clinical or research units. The COVID-19 pandemic resulted in a significant shift towards trial delivery without in-person face-to-face contact or "Remote Trial Delivery". The National Institute of Health Research (NIHR) assembled a Remote Trial Delivery Working Group to consider challenges and enablers to this major change in clinical trial delivery and to provide a toolkit for researchers to support the transition to remote delivery.Entities:
Keywords: Remote research; Remote trial delivery; Trial methodology; Virtual research
Mesh:
Year: 2021 PMID: 34895305 PMCID: PMC8665850 DOI: 10.1186/s13063-021-05880-8
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Fig. 1Key domains of the clinical trial delivery
Fig. 2Working group work process between September 2020 and December 2020, with deliverables refined January to March 2021
Questions to guide research teams in designing and delivering remote trials
| 1. Do you need to change the way in which you identify potential participants? Has the clinical care pathway changed? | |
| 2. What are the infrastructure requirements for the proposed method of delivery (hardware, software, connectivity)? Are these supported by your organisation and available to potential participants? | |
| 3. Will Remote Trial Delivery introduce bias? If so, how can this be mitigated? | |
| 4. Are you able to provide participants with guidance and support in using the remote methods? | |
| 5. How will you ensure participants feel supported and have the opportunity to ask questions? | |
| 6. What training provision is there for your team and participants in any new methodologies? | |
| 7. Are the interventions, assessments and outcome measures validated for the planned use? | |
| 8. Will some aspects of trial delivery be more difficult (e.g. some safety assessments)? How will this be mitigated? | |
| 9. Are there any concerns regarding data security as a result of remote delivery? | |
| 10. Do you need to adapt your processes to ensure data integrity? | |
| 11. What additional processes for PI oversight do you need to develop? |
Key themes of (a) advantages and (b) disadvantages of remote trial delivery from the patient and carer perspective, with example extracts from the survey
| Time | “can complete in own time” “better for working age participants as saves time” “less time waiting around” “have time to consider answers” “no time pressures” “less disruption to carers” “don’t have to rearrange childcare” |
| Feeling safe | “less anxiety for him” “reduced risk of COVID infection” “feeling of safety not going into hospital” “relaxed when dealing with researchers” “in my own comfort zone” “less stress about the appointment so anxiety levels lower” |
| Travel and transport | “convenience of not travelling” “no parking problems” “no stress getting to appointments on time” “no travel prep or stress so clearer results for researchers (meaning assessment is not of the travel stress but of his actual condition)” |
| Accessibility | “being able to join in when there may not be much research happening nearby” “being able to do the study anywhere in the country” “rapid response to any problems arising” “good for people who can’t go out” “can still contribute” “can take part 24/7” |
| Inclusivity | “may exclude certain groups in the population” “patient participants rarely representative of all social & cultural groups” |
| IT | “some glitches” “accessing the website wasn’t easy” “wifi is terrible (rural)” “not used to technology” |
| Communication | “(missed) seeing peoples’ full body language” “difficult to hear” “it needs to be easy enough to understand and follow remotely” “you don’t get contact…chat and fun with the nurses” |
| Validity | “not sure how the assessment scores compared to those face to face” “unable to collect most of the study outcomes” “the telephone follow-up was perfunctory” “questionnaires repeated often – no change to report – difficult to be consistent” “If treatment or medication was being assessed I’d prefer face to face contact” |
| Support | “difficult to get help with tasks” “not having anyone to contact in the event of a problem” “I didn’t feel particularly supported” “any questions arising had to be raised at a later date” “lack of potential support” “nobody to answer questions or provide help in case of problems” |
| Value | “feeling like a number in a study so not feeling valued as a participant” “impersonal” |
Uncertainties or knowledge gaps identified by research professionals and developments required to facilitate effective Remote Trial Delivery
| Identified uncertainties, knowledge gaps and developments required | |
|---|---|
| Technology | Specific trial elements will need technological input: • Electronic site files • Integration between electronic systems • Digital consent • Data security, storage and access • Digital signatures |
| Training and skill development | Required for both research teams and participants |
| Communication | Digital communication will need to be facilitated: • With participants • Between participants • Between researchers • With the NHS, including electronic patient records and communication with healthcare workers |
| Validity | The validity of specific elements of remote delivery will need to be established, including: • The consent process • Interventions • Study measures |
| Participant factors | It will be important to create an evidence base to improve understanding of aspects relevant to patients and carers, including: • Safety • Acceptability • Bias/exclusion • Support • Impact on recruitment • Valid consent • Retention in trials • Return to future trials |
| Governance | Governance procedures will be required to ensure: • Standardisation • Quality • Data security • Sponsor and regulator support for remote processes |
| Resources | A comparison of the resources required for remote delivery versus face to face should include: • Time compared to “traditional” model • Cost compared to “traditional” model • “Buy-in” from sponsors |
Benefits, pitfalls, challenges and enablers of Remote Trial Delivery
| Benefits | Pitfalls | Challenges | Enablers | |
|---|---|---|---|---|
Broader reach and inclusivity (in IT-enabled groups); increased research opportunity Flexibility in study delivery, increased convenience (e.g. not having to arrange transport and parking at the study site) Reduced infection risk Socially or geographically targeted recruitment | The impression of being “alone” (unsupported) Reduced contact with the study team might impact on retention Potential for non-compliance (intentional and unintentional) Potential for bias (e.g. due to limitations in remote communication e.g. computer literacy (digital divide, age-related/socioeconomic), literacy, audio-visual impairments) Reduced ability to ask questions or seek clarification Loss of non-verbal communication/difficulty with holistic assessment | Digital infrastructure and literacy Pathways to approach potential participants/care partners Adaptations required for inclusivity—e.g. hearing, visual or cognitive impairment Failure to maintain participant engagement Communication, including post-trial | Digital infrastructure and literacy Provision of guidance and support with technology and trouble-shooting Ensuring participant well-prepared and followed up regularly Provision of guidance and training on protocol adherence Peer support opportunities for participants (e.g. virtual coffee mornings) Safety net of regular video contact Clear route for communicating with the study team | |
Can be standardised/centralised Improved efficiency | Threat to privacy/confidentiality Data security Protocol compliance more difficult to assess | Outdated NHS IT systems (NHS IT—National Health Service Information Technology) Quality control/standardisation harder to ensure in diverse environments More resource-demanding Increased preparation time for remote monitoring Variation in information governance processes and standards Maintenance of essential documentation | Electronic patient/medical record/HSCN (Health and Social Care Network) Standardised processes (e.g. FHIR Fast Healthcare Interoperability Resources) Approved e-consent process Central coordination Consent and ethics approval in place for remote monitoring Flexible mindset within organisations Experienced workforce with appropriate skills | |
Greater ecological validity Potentially greater clinical validity than “snap-shot” in-clinic assessments Captured with greater granularity Reduced data capture error Reduced risk of research fraud More efficient data analysis | May not be validated Potential for reduced safety assessments Potential for increased heterogeneity within measurements | Unsupervised environment for delivery Requirement for demonstration of validity/equivalence Need to be acceptable to regulators Lack of staff familiarity Should be feasible and acceptable to patients Not all interventions can be delivered remotely | Developed and validated for remote delivery Equivalence to traditional measure demonstrated |
| Name | Organisation | Subgroup |
|---|---|---|
| Benjamin R Underwood | Department of Psychiatry, University of Cambridge NIHR Dementia National Specialty Group | Outcome measures |
| Ross Dunne | Greater Manchester Mental Health NHS Foundation Trust NIHR Dementia National Specialty Group | Quality Assurance |
| John O’Brien | University of Cambridge School of Clinical Medicine Cambridgeshire and Peterborough NHS Foundation Trust NIHR Dementia National Specialty Group | Intervention |
| Shane McKee | NIHR Genetics National Specialty Group | Outcome measures |
| Eamonn R Maher | Department of Medical Genetics, School of Clinical Medicine, University of Cambridge NIHR Genetics National Specialty Group | Recruitment |
| Khalid Ali | Brighton and Sussex Medical School NIHR Ageing National Specialty Group | Recruitment |
| Jane Masoli | University of Exeter Royal Devon and Exeter NHS Trust NIHR Ageing National Specialty Group | Patient Experience |
| Miles D Witham | AGE Research Group, NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle upon Tyne Hospitals NHS Foundation Trust NIHR Ageing National Specialty Group | Outcome measures |
| Camille Carroll | University of Plymouth NIHR Neurodegeneration National Specialty Group | Remote Trial Working Group Chair |
| Chris J McDermott | University of Sheffield NIHR Neurodegeneration National Specialty Group | Quality Assurance |
| Stacy Young | University of Sheffield NIHR Neurodegeneration National Specialty Group | Intervention |
| Carolyn Young | Walton Centre NHS Foundation Trust University of Liverpool NIHR Neurological Disorders National Specialty Group | Outcome measures |
| Denise Wilson | NIHR Business Development Manager Clinical Research network | |
| Lynn Rochester | NIHR Cluster E | Outcome measures |
| Peter Goadsby | Kings College London Neurological Disorders National Specialty Group | Intervention |
| James D Williamson | NIHR Research Delivery Lead | Recruitment |
| Sharon Hudson | Clinical Research Specialty Lead Mental Health South West Peninsula Cornwall Partnership NHS Foundation Trust | Quality Assurance |
| Kevin McFarthing | Independent Parkinson’s Research Advocate Patient and Public Involvement Representative | Patient Experience |
| Natalie Wilson | NIHR Business Development Manager | Recruitment |
| Rob Angus | NICE – Regulatory Experience | Quality Assurance |
| Klaus Schmierer | Neurological Disorders National Specialty Group | Patient Experience |
| David Ashford Jones | Patient and Public Involvement Representative | Recruitment |
| Leigh Boxall | Industry (Quintiles) | Recruitment |
| Gary Nestor | NIHR Cluster E | Outcome measures |
| Kim Down | NIHR Cluster E | Admin |
| Anna Moroney | NIHR Cluster E | Admin |