LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK

Manoj Sivan, Trisha Greenhalgh, Julie Lorraine Darbyshire, Ghazala Mir, Rory J O'Connor, Helen Dawes, Darren Greenwood, Daryl O'Connor, Mike Horton, Stavros Petrou, Simon de Lusignan, Vasa Curcin, Erik Mayer, Alexander Casson, Ruairidh Milne, Clare Rayner, Nikki Smith, Amy Parkin, Nick Preston, Brendan Delaney, LOCOMOTION consortium, Nawar Diar Bakerly, Mauricio Barahona, Alexander Casson, Jonathan Clarke, Vasa Curcin, Helen Davies, Helen Dawes, Brendan Delaney, Carlos Echevarria, Sarah Elkin, Rachael Evans, Zaccheus Falope, Darren Greenwood Ben Glampson, Stephen Halpin, Mike Horton, Joseph Kwon, Simon de Lusignan, Gayathri Delanerolle, Erik Mayer, Harsha Master, Ruairidh Milne, Jacqui Morris, Amy Parkin, Anton Pick, Nick Preston, Amy Rebane, Emma Tucker, Ana Belen Espinosa Gonzalez, Sareeta Baley, Annette Rolls, Emily Bullock, Megan Ball, Shehnaz Bashir, Mae Mansoubi, Joanne Elwin, Denys Prociuk, Iram Qureshi, Samantha Jones, Manoj Sivan, Trisha Greenhalgh, Julie Lorraine Darbyshire, Ghazala Mir, Rory J O'Connor, Helen Dawes, Darren Greenwood, Daryl O'Connor, Mike Horton, Stavros Petrou, Simon de Lusignan, Vasa Curcin, Erik Mayer, Alexander Casson, Ruairidh Milne, Clare Rayner, Nikki Smith, Amy Parkin, Nick Preston, Brendan Delaney, LOCOMOTION consortium, Nawar Diar Bakerly, Mauricio Barahona, Alexander Casson, Jonathan Clarke, Vasa Curcin, Helen Davies, Helen Dawes, Brendan Delaney, Carlos Echevarria, Sarah Elkin, Rachael Evans, Zaccheus Falope, Darren Greenwood Ben Glampson, Stephen Halpin, Mike Horton, Joseph Kwon, Simon de Lusignan, Gayathri Delanerolle, Erik Mayer, Harsha Master, Ruairidh Milne, Jacqui Morris, Amy Parkin, Anton Pick, Nick Preston, Amy Rebane, Emma Tucker, Ana Belen Espinosa Gonzalez, Sareeta Baley, Annette Rolls, Emily Bullock, Megan Ball, Shehnaz Bashir, Mae Mansoubi, Joanne Elwin, Denys Prociuk, Iram Qureshi, Samantha Jones

Abstract

Introduction: Long COVID, a new condition whose origins and natural history are not yet fully established, currently affects 1.5 million people in the UK. Most do not have access to specialist long COVID services. We seek to optimise long COVID care both within and outside specialist clinics, including improving access, reducing inequalities, helping self-management and providing guidance and decision support for primary care. We aim to establish a 'gold standard' of care by systematically analysing current practices, iteratively improving pathways and systems of care.

Methods and analysis: This mixed-methods, multisite study is informed by the principles of applied health services research, quality improvement, co-design, outcome measurement and learning health systems. It was developed in close partnership with patients (whose stated priorities are prompt clinical assessment; evidence-based advice and treatment and help with returning to work and other roles) and with front-line clinicians. Workstreams and tasks to optimise assessment, treatment and monitoring are based in three contrasting settings: workstream 1 (qualitative research, up to 100 participants), specialist management in 10 long COVID clinics across the UK, via a quality improvement collaborative, experience-based co-design and targeted efforts to reduce inequalities of access, return to work and peer support; workstream 2 (quantitative research, up to 5000 participants), patient self-management at home, technology-supported monitoring and validation of condition-specific outcome measures and workstream 3 (quantitative research, up to 5000 participants), generalist management in primary care, harnessing electronic record data to study population phenotypes and develop evidence-based decision support, referral pathways and analysis of costs. Study governance includes an active patient advisory group.

Ethics and dissemination: LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS study is sponsored by the University of Leeds and approved by Yorkshire & The Humber-Bradford Leeds Research Ethics Committee (ref: 21/YH/0276). Participants will provide informed consent. Dissemination plans include academic and lay publications, and partnerships with national and regional policymakers.

Trial registration number: NCT05057260, ISRCTN15022307.

Keywords: COVID-19; health economics; health services administration & management; qualitative research; rehabilitation medicine.

Conflict of interest statement

Competing interests: MS is advisor to WHO for long COVID policy in Europe. TG is member of the UK long COVID national task force and member of the National Institute for Health and Care Excellence (NICE) postacute COVID guideline oversight committee and Independent SAGE member. SdeL is the Director of the Oxford-RCGP RSC (primary care surveillance network); has received grants through his University from AstraZeneca, Eli Lilly, GSK, MSD, NovoNordisk, Sanofi, Seqirus and Takeda; and has sat on advisory boards for AstraZeneca, Sanofi and Seqirus. CR Member of Society of Occupational Medicine Taskforce on long COVID; member of WHO guideline development group on rehabilitation for post-COVID condition; community representative on the Access to COVID-19 Tools Accelerator (ACT-A) committee; member of long COVID support employment group (unpaid advocacy work for workers with long COVID); and has undertaken paid work for Nestle, advising on support for employees with long COVID.

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.

Figures

Figure 1
Figure 1
LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION) project workstreams (WS) and tasks. LC, long COVID; NHS, National Health Service.
Figure 2
Figure 2
Aggregate scores from a clinic population on the COVID-19 Yorkshire Rehabilitation Scale patient-reported outcome measure. (A) Mean symptom severity score of 370 patients, plotted as three subgroups (severe >6, moderate 3–5.9 and mild et al. ADL, Activities of Daily Living; PTSD, post-traumatic stress disorder.

References

    1. Perego E, Callard F, Stras L, et al. . Why the Patient-Made Term ‘Long Covid’ is needed. Wellcome Open Res 2020;5:224.10.12688/wellcomeopenres.16307.1
    1. National Institute for Health and Care Excellence (NICE) Scottish Intercollegiate Guidelines Network (SIGN) and Royal College of General Practitioners (RCGP) . COVID-19 rapid guideline: managing the long- term effects of COVID-19. London: NICE, 2022.
    1. World Health Organisation . A clinical case definition of post COVID-19 condition by a Delphi consensus. Geneva: WHO, 2021.
    1. Sivan M, Rayner C, Delaney B. Fresh evidence of the scale and scope of long covid. 52. British Medical Journal Publishing Group, 2021: n853.10.1136/bmj.n853
    1. Jiang DH, Roy DJ, Gu BJ, et al. . Postacute Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A State-of-the-Art Review. JACC Basic Transl Sci 2021;6:796–811.10.1016/j.jacbts.2021.07.002
    1. Domingo FR, Waddell LA, Cheung AM. Prevalence of long-term effects in individuals diagnosed with COVID-19: a living systematic review. medRxiv 2021.
    1. Ayoubkhani D, Khunti K, Nafilyan V, et al. . Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study. BMJ 2021;372:n693.10.1136/bmj.n693
    1. Dennis A, Wamil M, Alberts J, et al. . Multiorgan impairment in low-risk individuals with post-COVID-19 syndrome: a prospective, community-based study. BMJ Open 2021;11:e048391.10.1136/bmjopen-2020-048391
    1. Lambert N, Corps S, El-Azab SA. COVID-19 Survivors’ Reports of the Timing, Duration, and Health Impacts of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection 2021.
    1. Evans RA, McAuley H, Harrison EM, et al. . Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study. Lancet Respir Med 2021;9:1275–87.10.1016/S2213-2600(21)00383-0
    1. Sudre CH, Murray B, Varsavsky T, et al. . Attributes and predictors of long COVID. Nat Med 2021;27:626–31.10.1038/s41591-021-01292-y
    1. Sivan M, Parkin A, Makower S, et al. . Post-COVID syndrome symptoms, functional disability, and clinical severity phenotypes in hospitalized and nonhospitalized individuals: a cross-sectional evaluation from a community COVID rehabilitation service. J Med Virol 2022;94:1419–27.10.1002/jmv.27456
    1. McGonagle D, Kearney MF, O'Regan A, et al. . Therapeutic implications of ongoing alveolar viral replication in COVID-19. Lancet Rheumatol 2022;4:e135–44.10.1016/S2665-9913(21)00322-2
    1. Berger Z, Altiery DE Jesus V, Assoumou SA, et al. . Long COVID and health inequities: the role of primary care. Milbank Q 2021;99:519–41.10.1111/1468-0009.12505
    1. Fowler-Davis S, Young R, Maden-Wilkinson T, et al. . Assessing the acceptability of a co-produced long COVID intervention in an underserved community in the UK. Int J Environ Res Public Health 2021;18:13191.10.3390/ijerph182413191
    1. Phiri P, Delanerolle G, Al-Sudani A, et al. . COVID-19 and black, Asian, and minority ethnic communities: a complex relationship without just cause. JMIR Public Health Surveill 2021;7:e22581.10.2196/22581
    1. House of Commons Health and Social Care and Science and Technology Committees . Coronavirus: lessons learned to date. sixth report of the health and social care Committee and third report of the science and technology Committee of session 2021-22. London: Her Majesty’s Government, 2021.
    1. Ziauddeen N, Gurdasani D, O'Hara ME. Characteristics of long Covid: findings from a social media survey. medRxiv 2021.
    1. Hutchinson J, Checkland K, Munford L, et al. . Long COVID in general practice: an analysis of the equity of NHS England’s enhanced service specification. British Journal of General Practice 2022;72:85–6.10.3399/bjgp22X718505
    1. Meza-Torres BDG, Okusi C, Mayer N. Differences in clinical presentation with long covid following community and hospital infection, and associations with all-cause mortality: English sentinel network database study. JMIR Preprints 2022:37668.
    1. Ladds E, Rushforth A, Wieringa S, et al. . Persistent symptoms after Covid-19: qualitative study of 114 "long Covid" patients and draft quality principles for services. BMC Health Serv Res 2020;20:1144.10.1186/s12913-020-06001-y
    1. Ladds E, Rushforth A, Wieringa S, et al. . Developing services for long COVID: lessons from a study of wounded healers. Clin Med 2021;21:59–65.10.7861/clinmed.2020-0962
    1. Davis HE, Assaf GS, McCorkell L. Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. medRxiv 2020.
    1. Verduzco-Gutierrez M, Rydberg L, Sullivan MN, et al. . In this for the long Haul: ethics, COVID-19, and rehabilitation. Pm R 2021;13:325.10.1002/pmrj.12554
    1. Callard F. Epidemic time: thinking from the Sickbed. Bull Hist Med 2020;94:727–43.10.1353/bhm.2020.0093
    1. Nurek M, Rayner C, Freyer A, et al. . Recommendations for the recognition, diagnosis, and management of long COVID: a Delphi study. Br J Gen Pract 2021;71:e815–25.10.3399/BJGP.2021.0265
    1. Alwan NA, Attree E, Blair JM, et al. . From doctors as patients: a manifesto for tackling persisting symptoms of covid-19. BMJ 2020;370:m3565.10.1136/bmj.m3565
    1. Brown DA, O'Brien KK. Conceptualising long COVID as an episodic health condition. BMJ Glob Health 2021;6:e007004.10.1136/bmjgh-2021-007004
    1. Greenhalgh T, Knight M, A'Court C, et al. . Management of post-acute covid-19 in primary care. BMJ 2020;370:m3026.10.1136/bmj.m3026
    1. Crook H, Raza S, Nowell J, et al. . Long covid-mechanisms, risk factors, and management. BMJ 2021;374:n1648.10.1136/bmj.n1648
    1. Khunti K, Davies MJ, Kosiborod MN, et al. . Long COVID - metabolic risk factors and novel therapeutic management. Nat Rev Endocrinol 2021;17:379–80.10.1038/s41574-021-00495-0
    1. Walker AJ, MacKenna B, Inglesby P, et al. . Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY. British Journal of General Practice 2021;71:e806–14.10.3399/BJGP.2021.0301
    1. Office of National Statistics . Prevalence of ongoing symptoms following coronavirus (COVID-19) infection in the UK. London: ONS, 2022.
    1. NHS England . NHS to offer ‘long covid’ sufferers help at specialist centres. London: NHS England, 2020.
    1. England N . Supporting your recovery after COVID-19, 2021. Available:
    1. NHS England . Enhanced service specifiction: long covid (version 1, 21st June. London: NHS England, 2021.
    1. Singh C. Long COVID: playing the long game. Br J Gen Pract 2021;71:507–07.10.3399/bjgp21X717521
    1. Roth A, Chan PS, Jonas W. Addressing the long COVID crisis: integrative health and long COVID. Glob Adv Health Med 2021;10:21649561211056597.10.1177/21649561211056597
    1. Schouten LMT, Hulscher MEJL, van Everdingen JJE, et al. . Evidence for the impact of quality improvement Collaboratives: systematic review. BMJ 2008;336:1491–4.10.1136/
    1. Carter P, Ozieranski P, McNicol S, et al. . How collaborative are quality improvement Collaboratives: a qualitative study in stroke care. Implement Sci 2014;9:32.10.1186/1748-5908-9-32
    1. Parand A, Benn J, Burnett S, et al. . Strategies for sustaining a quality improvement collaborative and its patient safety gains. Int J Qual Health Care 2012;24:380–90.10.1093/intqhc/mzs030
    1. Hemmila MR, Cain-Nielsen AH, Jakubus JL, et al. . Association of hospital participation in a regional trauma quality improvement collaborative with patient outcomes. JAMA Surg 2018;153:747–56.10.1001/jamasurg.2018.0985
    1. Bate P, Robert G. Experience-Based design: from redesigning the system around the patient to co-designing services with the patient. Qual Saf Health Care 2006;15:307–10.10.1136/qshc.2005.016527
    1. Palmer VJ, Weavell W, Callander R, et al. . The participatory Zeitgeist: an explanatory theoretical model of change in an era of coproduction and codesign in healthcare improvement. Med Humanit 2019;45:247–57.10.1136/medhum-2017-011398
    1. Raynor DK, Ismail H, Blenkinsopp A, et al. . Experience-Based co-design-Adapting the method for a researcher-initiated study in a multi-site setting. Health Expect 2020;23:562–70.10.1111/hex.13028
    1. Toledo-Chávarri A, Ramos-García V, Koatz D, et al. . Co-Design process of a virtual community of practice for the Empowerment of people with ischemic heart disease. Int J Integr Care 2020;20:9.10.5334/ijic.5514
    1. Scotland N . Emotional touchpoints, 2021. Available:
    1. Chamberlain MA, Fialka Moser V, Schüldt Ekholm K, et al. . Vocational rehabilitation: an educational review. J Rehabil Med 2009;41:856–69.10.2340/16501977-0457
    1. Sivan M, Wright S, Hughes S, et al. . Using condition specific patient reported outcome measures for long covid. BMJ 2022;376:o257.10.1136/bmj.o257
    1. Sivan M, Halpin S, Gees J, et al. . The self-report version and digital format of the COVID-19 Yorkshire rehabilitation scale (C19-YRS) for long Covid or Post-COVID syndrome assessment and monitoring. ACNR 2021;20.10.47795/QROO4168
    1. Sivan M, Preston NJ, Parkin A. The modified COVID-19 Yorkshire rehabilitation scale (C19-YRSm) patient-reported outcome measure for long Covid or Post-COVID syndrome. medRxiv 2022:2022.03.24.22272892.
    1. COMET (Core Outcome Measures in Effectiveness Trials) Initiative . Core outcome measures for post-covid condition / long covid. Sheffield: COMET, 2021.
    1. Patel K, Straudi S, Yee Sien N, et al. . Applying the who ICF framework to the outcome measures used in the evaluation of long-term clinical outcomes in coronavirus outbreaks. Int J Environ Res Public Health 2020;17:6476.10.3390/ijerph17186476
    1. de Lusignan S, Jones N, Dorward J, et al. . The Oxford Royal College of general practitioners clinical informatics digital hub: protocol to develop extended COVID-19 surveillance and trial platforms. JMIR Public Health Surveill 2020;6:e19773.10.2196/19773
    1. NHS England . Enhanced service specification: long COVID 2021/22. London: NHS England, 2022.
    1. Staniszewska S, Hill EM, Grant R, et al. . Developing a framework for public involvement in mathematical and economic modelling: bringing new dynamism to vaccination policy recommendations. Patient 2021;14:435–45.10.1007/s40271-020-00476-x
    1. Squires H, Chilcott J, Akehurst R, et al. . A framework for developing the structure of public health economic models. Value Health 2016;19:588–601.10.1016/j.jval.2016.02.011
    1. Squires H, Chilcott J, Akehurst R, et al. . A systematic literature review of the key challenges for developing the structure of public health economic models. Int J Public Health 2016;61:289–98.10.1007/s00038-015-0775-7
    1. National Institute for Health and Care Excellence . Guide to the methods of technology appraisal 2013, 2013.
    1. Glover D, Henderson J. Quantifying health impacts of government policies. London: Department of Health, 2010.
    1. Verguet S, Kim JJ, Jamison DT. Extended cost-effectiveness analysis for health policy assessment: a tutorial. Pharmacoeconomics 2016;34:913–23.10.1007/s40273-016-0414-z
    1. Eddy DM, Hollingworth W, Caro JJ, et al. . Model transparency and validation: a report of the ISPOR-SMDM modeling good research practices task Force-7. Med Decis Making 2012;32:733–43.10.1177/0272989X12454579
    1. Davis S, Stevenson M, Tappenden P. NICE DSU Technical Support Document 15: Cost-Effectiveness Modelling Using Patient-Level Simulation [Internet]. London: National Institute for Health and Care Excellence (NICE), 2014.
    1. National Institute for Health Research . Improving inclusion of under-served groups in clinical research: guidance from include project. Leeds: NIHR, 2020.
    1. Haroon S, Nirantharakumar K, Hughes S. Therapies for long COVID in non-hospitalised individuals-from symptoms, patient-reported outcomes, and immunology to targeted therapies (the TLC study): study protocol. medRxiv 2021.
    1. NHS England . Post-COVID syndrome (long COVID. London: NHS England, 2021.
    1. NHS England . National guidance for post-COVID syndrome assessment clinics. London: NHS England and NHS Improvement, 2021.
    1. World Health Organisation . Support for rehabilitation: self-management after COVID-19-related illness. Copenhagen: WHO Regional Office for Europe, 2020.
    1. O'Connor RJ, Preston N, Parkin A, et al. . The COVID‐19 Yorkshire rehabilitation scale (C19‐YRS): application and psychometric analysis in a post‐COVID‐19 syndrome cohort. J Med Virol 2022;94:1027–34.10.1002/jmv.27415
    1. de Lusignan S, Correa A, Smith GE, et al. . RCGP research and surveillance centre: 50 years' surveillance of influenza, infections, and respiratory conditions. Br J Gen Pract 2017;67:440.10.3399/bjgp17X692645
    1. Bangor A, Kortum PT, Miller JT. An empirical evaluation of the system usability scale. Int J Hum Comput Interact 2008;24:574–94.10.1080/10447310802205776

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