Article Text
PDF
Abstract
Introduction As the prevalence of Long COVID increases, there is a critical need for a comprehensive assessment of disability. Our aims are to: (1) characterise disability experiences among people living with Long COVID in Canada, UK, USA and Ireland; and (2) develop a patient-reported outcome measure to assess the presence, severity and episodic nature of disability with Long COVID.
Methods and analysis In phase 1, we will conduct semistructured interviews with adults living with Long COVID to explore experiences of disability (dimensions, uncertainty, trajectories, influencing contextual factors) and establish an episodic disability (ED) framework in the context of Long COVID (n~10 each country). Using the conceptual framework, we will establish the Long COVID Episodic Disability Questionnaire (EDQ). In phase 2, we will examine the validity (construct, structural) and reliability (internal consistency, test–retest) of the EDQ for use in Long COVID. We will electronically administer the EDQ and four health status criterion measures with adults living with Long COVID, and readminister the EDQ 1 week later (n~170 each country). We will use Rasch analysis to refine the EDQ, and confirm structural and cross-cultural validity. We will calculate Cronbach’s alphas (internal consistency reliability), and intraclass correlation coefficients (test–retest reliability), and examine correlations for hypotheses theorising relationships between EDQ and criterion measure scores (construct validity). Using phase 2 data, we will characterise the profile of disability using structural equation modelling techniques to examine relationships between dimensions of disability and the influence of intrinsic and extrinsic contextual factors. This research involves an academic–clinical–community partnership building on foundational work in ED measurement, Long COVID and rehabilitation.
Ethics and dissemination This study was approved by the University of Toronto Research Ethics Board. Knowledge translation will occur with community collaborators in the form of presentations and publications in open access peer-reviewed journals and presentations.
- COVID-19
- rehabilitation medicine
- HIV & AIDS
- infectious diseases
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Statistics from Altmetric.com
Strengths and limitations of this study
Our combined qualitative and quantitative approaches will ensure a comprehensive exploration of experiences among diverse Long COVID populations across healthcare contexts.
Collaborating with international community networks will provide a robust sampling frame enabling timely recruitment to achieve our sample size, immediate comparisons and rapid uptake of evidence.
This study draws on a strong conceptual foundation of episodic disability (Episodic Disability Framework) and measurement of disability (Short Form-Episodic Disability Questionnaire) developed using community-engaged approaches with HIV as an exemplar of episodic illness.
Our cross-sectional nature of the qualitative interviews may limit our ability to document the episodic nature of disability for people living with Long COVID.
Our ability to attain a representative diverse sample of people with Long COVID given our likelihood to recruit individuals who experience fewer and less severe cognitive and postexertional challenges.
Introduction
A growing number of individuals are living with persistent and prolonged signs and symptoms following infection consistent with COVID-19,1 2 referred to as post-COVID-19 condition or Long COVID.3 4 Post-COVID-19 condition occurs in children and adults with a history of probable or confirmed SARS CoV-2 infection, usually 3 months from the onset of COVID-19, with symptoms that last for at least 2 months and cannot be explained by an alternative diagnosis.3 Symptoms may be new onset following initial recovery from an acute COVID-19 episode or persist from the initial illness. Systematic review evidence examining symptoms among individuals after COVID-19 reported 38%–72% were living with >1 symptom for at least 2 months from COVID-19 onset5–9 and up to 54% living with symptoms at 6 or more months.9 Common symptoms include fatigue, weakness, breathlessness, postexertional symptom exacerbation and cognitive or concentration impairment that can impact daily function2 3 6–10 and can occur regardless of severity of acute COVID-19.11 12 Additional challenges with return to employment, relationships, accessing services and stigma, can further contribute to disability after acute COVID-19.13–18 Men and women can experience disability differently pertaining to hospitalisation, parental roles, fatigue, mental health and social inclusion.19–22 Long COVID may further disproportionately affect people from racialised communities and those with pre-existing comorbidity.22–26 With the ‘severely disabling’16 potential of Long COVID, the role for rehabilitation is critical.27–30 As such, it is imperative to conceptualise disability in Long COVID and to establish tools to accurately measure disability to inform timely and appropriate access to rehabilitation approaches, and inform policies that consider the complexities of Long COVID.16 31 32
Long COVID is multidimensional, episodic and unpredictable, characterised by ‘clusters of symptoms’ that can overlap and ‘fluctuate and change over time’, described as ‘prolonged’, ‘relapsing and remitting’.3 17 33–38 These characteristics resemble episodic disability (ED), a concept derived from the context of HIV, where health challenges can fluctuate daily or over longer periods of time.39 40 There is an opportunity to apply lessons learnt in other chronic and episodic illnesses to understand and conceptualise the disability experienced among adults living with Long COVID.
Members of this team developed the Episodic Disabiltiy (ED) Framework to characterise this multidimensional and sometimes fluctuating nature of health-challenges living with HIV.39 41 The Episodic Disability Framework includes: (1) dimensions of disability (physical, cognitive, mental and emotional health, daily activities, social inclusion and uncertainty—similar to those reported in Long COVID)2 37 42; (2) contextual factors, which include extrinsic (eg, support, environment) and intrinsic (living strategies; personal attributes) factors that influence disability and (3) triggers, that can exacerbate a momentous episode.39 41 Empirically validated with adults living with HIV in Canada43 and Ireland,44 and the first of its kind in the field, the Episodic Disability Framework provides a novel method for conceptualising the multidimensional nature of living with chronic illness by capturing experiences of uncertainty and the temporal (fluctuating) feature of disability over time.43 Using this existing framework of disability rigorously developed from others living with episodic illness can provide a foundation for understanding disability experienced by people living with Long COVID.38
Standardised patient-reported outcome measures (PROMs) designed to capture the nature and extent of disability and its fluctuation over time are critical to guide the provision of care, determine the effectiveness of interventions, and inform workplace policies, benefits and access to services for people with Long COVID.16 17 Current disability measures used in Long COVID45 46 lack items related to uncertainty,33 do not capture the fluctuating nature, and were not derived or validated with or from the perspectives of people living with Long COVID. Members of our team developed the HIV Disability Questionnaire (HDQ) a PROM47 48 which describes a range of health challenges a person might experience and the extent of fluctuation, so clinicians may better understand and address the disability needs of people with chronic illness. This tool is the first known measure of Episodic Disability, addressing gaps in previously existing health status measures to capture uncertainty and elements of social inclusion (relationships, employment).49 The HDQ possesses reliability and validity for use with adults living with HIV in Canada, Ireland, UK, and USA.50–53 Recently, our team used modern psychometric (Rasch) and community-engaged approaches to establish a Short-Form version (SF-HDQ) to enhance the feasibility, electronic administration and immediate scoring for use in clinical and community settings.54 The lessons learnt in HIV, disability and rehabilitation, specifically our work in Episodic Disability and PROM development provides a foundation for conceptualising and measuring Episodic Disability in the context of Long COVID.33
The goal of this study is to advance the conceptualisation and measurement of episodic disability among adults living with Long COVID to inform clinical practice, research and policy. Our specific aims are: (1) to conceptualise the disability experiences (dimensions, trajectories, contextual factors and triggers that exacerbate or alleviate disability over time) among people living with Long COVID in Canada, UK, USA and Ireland, and to establish the Episodic Disability Framework in the context of Long COVID; and (2a) to develop and (2b) assess the measurement properties of an Episodic Disability Questionnaire (EDQ) while (2c) collecting foundational data on the presence, severity and episodic nature of disability and contextual factors (sex, gender, race, age, comorbidity, country) that may influence disability among adults living with Long COVID in Canada, UK, USA and Ireland.
Methods and analysis
We will conduct an observational study using mixed methods to establish a conceptual foundation, and PROM, of episodic disability among adults living with Long COVID. We use ‘living with Long COVID’ throughout to refer to people with Long COVID, regardless of the present nature and severity of symptoms. In the context of this study, ‘living with Long COVID’ does not assume permanence or recovery, rather recognises the fluctuating, uncertain and potentially unpredictable nature of the course of Long COVID.
Study design
We will conduct a mixed-methods study using qualitative (aim 1) and quantitative measurement (aim 2) approaches with adults living with Long COVID in Canada, UK, USA and Ireland. Leveraging our work with the Episodic Disability Framework and SF-HDQ, we will examine the cross-cultural applicability and measurement properties of a new electronic (e)-PROM of episodic disability in Long COVID.
Patient and public involvement
This research involves an international community–academic–clinical partnership building on foundational work in episodic disability among an international team with expertise in episodic illness, disability, measurement, COVID-19, Long COVID and rehabilitation. This study draws from our work in lessons learnt from HIV for COVID-19 rehabilitation.33 55 Building on our long-standing community-engaged research approach,47 56 our study involves members of the Long COVID community who were involved in the conceptualisation of the research proposal and acquisition of funding as Collaborators and Knowledge Users. Our team includes people living with Long COVID and representatives from Long COVID community networks (Long COVID Physio, Patient-Led Research Collaborative, Long COVID Support, COVID Long-Haulers Support Group Canada and Long COVID Ireland)57–61 who comprise a Community Advisory Committee (CAC) who co-lead and advise on all stages of the research, and coauthor publications and presentations.
Participants and recruitment
We will recruit individuals who self-identify as having a history of probable or confirmed SARS-CoV-2 infection, and new symptoms occurring within 3 months from the onset of COVID-19 that last for at least 2 months and cannot be explained by an alternative diagnosis.3 We will include individuals irrespective of hospitalisation or confirmation of SARS-CoV-2 test (PCR, antigen or antibody). We will recruit adults from Canadian, British, American, Irish and international collaborating Long COVID support networks57–61 via email and social media platforms. Community experts/collaborators on the team will lead recruitment as they are best positioned to identify individuals from the community who they identify as representing different characteristics (or combinations of characteristics). We will recruit for diversity in characteristics such as age, sex, gender, race, geographical setting (urban vs rural), employment/student status, socioeconomic status, hospitalisation and country, as able.
Aim 1: interviews
Community experts will circulate a recruitment poster to individuals in the Long COVID community networks that meet our inclusion and sampling criteria. Interested individuals will contact the respective research coordinator on the team who will send an email to individuals thanking them for interest in the study and attach a consent form for the interview (online supplemental file 1). We will relay information about the purpose and rationale of the study, inclusion criteria, potential of participation, the voluntary nature of the study and their right to withdraw at any time and compensation. On expression of interest, we will send a second email to schedule the one-on-one interview. We will send a third email with additional details, including Zoom information for joining the interview, 1 day prior to the interview.
Supplemental material
Aim 2: questionnaire administration
We will recruit adults living with Long COVID from Canada, UK, USA and Ireland via community networks. Community collaborators will circulate a study poster with contact information for the relevant research coordinator through email or social media. We will apply our lessons learnt using community-engaged approaches with web-based surveys62 and a modified Dillman Method63 to email potential participants identified via our sampling frame, followed by follow-up reminder emails at 1, 2 and 4 weeks after the initial invitation to facilitate recruitment.
Interested individuals will contact the research coordinator for more information. Research coordinators will send an email that includes the details of the study, with an assigned participant number, and a Qualtrics link to the information cover page (with details of the study, eligibility and consent question) and if eligible/consent, the Time 1 (T1) study questionnaires. The cover page (online supplemental file 2) will include information about the purpose and rationale of the study, inclusion criteria, potential risks, the voluntary nature of the study, and compensation. If an individual participates in the study at T1, we will email a link for the T2 cover page and questionnaire (EDQ only) 1 week later (online supplemental file 3).
Supplemental material
Supplemental material
Research procedure
See figure 1 for an overview of the research procedures. Participants will be able to take breaks and schedule the interview or questionnaire completion over more than one session to prevent overexertion resulting postexertional malaise.
Overview of Research Procedure—Long COVID and Episodic Disability study.
Qualitative data collection (aim 1)
We will conduct semistructured online (Zoom) interviews with adults who self-identify as living with Long COVID to explore disability experiences and examine the extent to which the Episodic Disability Framework captures their health challenges across our four partner countries. Using an interview guide, we will explore: (1) health-related challenges (dimensions of disability: physical, cognitive, mental health, uncertainty, social inclusion, day-to-day activities); (2) trajectories and dimensions of disability experienced as episodic (fluctuating); (3) extrinsic and intrinsic contextual factors that influence disability (eg, comorbid conditions); (4) triggers that may exacerbate an episode and (5) impact (eg, employment, access to services, financial security). We will ask participants to draw their trajectory of health-related challenges (disability) living with Long COVID over time. We will refine the Framework to inform the modification of the EDQ.
Episodic Disability Questionnaire (EDQ) development (aim 2a)
Using our conceptual framework established in aim 1 we will develop the EDQ, to capture presence, severity and episodic nature of disability. We will host a blended (in-person/online) meeting in consultation with the Long COVID CAC composed of persons living with Long COVID, COVID-19 support networks, researchers and clinicians working in COVID-19 care to refine the Episodic Disability Framework and EDQ in preparation for implementation. Episodic Disability Questionnaire (EDQ) items will be derived from categories in the Framework (aim 1), adapted from the original SF-HDQ, and refined with the CAC.
Quantitative data collection (aim 2b and 2c)
We will electronically administer the Episodic Disability Questionnaire (EDQ) followed by four criterion measures currently used in Long COVID: WHO Disability Assessment Schedule,45 COVID-19 Yorkshire Rehabilitation Scale (C19-YRS)46; EuroQol- EQ-5D-5L quality of life questionnaire,64 Work and Social Adjustment Scale (WSAS)65 using e-survey software (Qualtrics) at Time 1.66 The EDQ (only) will be readministered electronically a second time, 1 week later (time 2). At time 2, we will ask participants whether they had any major changes in their health since Time 1 (to indicate consistency in disability for reliability assessment of the EDQ) (figure 1).
WHO Disability Assessment Schedule 2.0 (WHODAS 2.0)
The WHODAS 2.0 contains 36 items that measures disability across six domains (cognition, mobility, self-care, getting along, life activities and participation). Scores ranges from 0 to 100, where 0 means no disability and 100 means full disability. The WHODAS 2.0 possesses reliability, validity and responsiveness among people with chronic disease.45
COVID-19 Yorkshire Rehabilitation Scale
The C19-YRS is a digital assessment and monitoring tool that screens for some of the most common symptoms of Long COVID, including breathlessness, cough, fatigue, depression and anxiety.45 67 The scale consists of 22 items with each item scored on an 11-point numerical rating scale from 0 (none of this symptom) to 10 (extremely severe level or impact). The C19-YRS is divided into four subscales (range of total score for each subscale): symptom severity score (0–100), functional disability score (0–50), additional symptoms (0–60) and overall health (0–10). The C19-YRS possesses internal consistency, content validity and clinical usefulness for use with persons with Long COVID.67
EuroQol EQ-5D-5L
The EQ-5D-5L is a measure of health-related quality of life widely used in cost effectiveness analysis. The EQ-5D-5L consists of 5 items (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) each with 5 levels of response options, followed by a visual analogue scale (overall health)64 and has been utilized as a measure of quality of life in the context of COVID-19.13 68
Work and Social Adjustment Scale
The WSAS is a five-item questionnaire asking about the impact of a health condition on ability to work, home management, social leisure activities, private leisure activities and relationships with others.65 The WSAS has demonstrated utility, reliability and validity as a measure of functional impairment for use with people with mental health conditions.
Demographic questionnaire
In aims 1 and 2 (time 1 only), we will administer a demographic questionnaire capturing factors such as: age, sex, gender, sexual orientation, race, country, employment status, multimorbidity, access to supports, living situation (alone vs not), COVID-19 vaccination status, severity of acute COVID-19 (non-hospitalised, hospitalised versus Intensive Care Unit (ICU)), timing of acute COVID-19, Long COVID symptom onset, and access to a Long COVID clinic.
Analysis
Interview data (aim 1)
We will analyse interviews using content analytical techniques69 and a team based approach to qualitative analysis involving community collaborators.70 71 Our coding scheme will be informed by the Episodic Disability Framework and include: (1) dimensions of health challenges; (2) factors that trigger, exacerbate or alleviate disability; (3) episodic nature of disability (trajectories); (4) uncertainty living with Long COVID and (5) contextual considerations (eg, country, gender). We will also allow additional codes to emerge to identify new features of disability with Long COVID. We will use NVivo software for data management.72
Episodic Disability Questionnaire (EDQ) development (aim 2a)
We will conduct a content analysis on the discussion notes taken from our consultation meeting with the Long COVID CAC to refine the Episodic Disability Framework (aim1) and Episodic Disability Questionnaire (EDQ).
Questionnaire data
We will calculate EDQ disability presence, severity and episodic (calculated for descriptive purposes only) across the six domains and total scores (transformed out of 100) for each time point. Higher scores indicate a higher presence, severity and episodic nature of disability. WHODAS 2.0 scores ranges from 0 to 100, where 0 means no disability and 100 means full disability. We will calculate mean (SD) and median (IQR) domain scores. The C19-YRS is divided into four subscales (range of total score for each subscale): symptom severity score (0–100), functional disability score (0–50), additional symptoms (0–60) and overall health (0–10). For the EQ5D-5L divide the dimensions into five levels of health problems to collectively represent a health state that represent each of the numerical descriptions.64 For the WSAS, we will calculate a total score. A score above 20 suggests moderately severe or worse psychopathology, scores between 10 and 20 are associated with significant functional impairment but less severe clinical symptomatology, and scores below 10 are associated with subclinical populations. Individual severity scores are derived by summing the values (scores) for the six questions for each individual.65 For the demographic questionnaire, we will calculate descriptive statistics including frequencies (%) for categorical variables and median and IQR for continuous variables.
Property assessment (aim 2b)
We will conduct Rasch analysis, a preferred method for developing PROMs, assessing structural and cross-cultural validity, and for establishing an interval-level scale.73–76 We will use criteria for model fit similarly used in our SF-HDQ development54: Cronbach’s alpha (internal consistency reliability (≥0.8 acceptable),77 and Person Separation Indices (≥ 0.70 acceptable),78 individual item fit using item threshold ordering, fit residuals (residuals >|2.5|),79 80 differential item functioning (country, age, sex, gender)74 and unidimensionality.81 We will create a user-friendly scoring algorithm to convert raw summed EDQ scores to the equivalent Rasch-based person logit scores rescaled (0–100) with higher scores indicating greater severity of disability.82
We will assess test–retest reliability with ICC using time 1 and 2 EDQ scores (>0.8 acceptable).77 83 We will examine correlations for a priori hypotheses theorising relationships between EDQ and criterion measure scores. Correlations of |≥ 0.30|, |≥ 0.50| and |≥ 0.70| will be defined as ‘weak’, ‘moderate ’ and ‘strong,’ respectively.84 Construct validity will be defined as >75% confirmed hypotheses.85
Disability profile (aim 2c)
We will use descriptive and structural equation modelling techniques to examine relationships between dimensions of disability and contextual factors.86 87 We will conduct path analyses to determine relationships between dimensions of disability and contextual factors (sex, gender, age, race, multimorbidity, hospitalisation, country, acute disease severity, symptom clusters, vaccination status) in a stepwise fashion to determine how these factors influence disability. We will estimate parameter values using Maximum Likelihood Methods of Estimation.88 We will assess overall goodness of fit (Root Mean Square Error of Approximation (<0.05), Comparative Fit Indices (≥0.95), Tucker Lewis Index (≥0.95)) and the magnitude and direction of the parameter estimates to determine overall fit of our model.89–91 We will use SAS V 9.3,92 RUMM203093 and Mplus statistical software94 to facilitate analysis and discuss model interpretations and implications with the team.
Sample size
For aim 1, based on our previous work cross-cultural assessment of the Episodic Disability Framework,51 we anticipate a sample of 40 across 4 countries (~10/country) will be sufficient to provide perspectives of disability internationally.95 For aim 2, our sample size is based on the Rasch analysis (aim 2b). To maximise item parameter estimation precision with minimal root mean squared deviation, we require at least 500 observations.96 To account for missing responses (~35%) at time 2 (test–retest), we will collect data on 680 participants (170 per country).
Discussion
Results will yield the first known conceptual framework and PROM developed to assess the prevalence and impact of episodic disability in Long COVID. Specific outcomes will include: a conceptual framework (and definition) of Episodic Disability in the context of Long COVID; foundational knowledge on the profile and impact of episodic disability within Canadian, UK, USA and Irish Long COVID health contexts; a new e-PROM of episodic disability assessed for cross-cultural validity and reliability, poised for broad clinical and research use to enable future international comparisons; a guidance document for EDQ utility, administration and scoring; and a new and strengthened multidisciplinary and international team of clinicians, researchers, and community members dedicated to addressing research priorities in Long COVID and rehabilitation.
Our combined qualitative and quantitative approaches will ensure a robust exploration of diverse experiences across Long COVID populations and healthcare contexts. Results can inform strategies for targeting interventions, and policies for return to work, health and income benefits for people living with Long COVID. Discerning cross-cultural applicability of the ED Framework and EDQ will help to establish a common understanding of disability with Long COVID to facilitate future research and international comparisons. Collaborators, Long COVID Support (UK),58 COVID Long-Haulers Support Group Canada,57 Patient-Led Research Collaborative (US),60 Long COVID Physio,59 Long COVID Ireland61 and Canada-International HIV and Rehabilitation Research Collaborative97 98 will further leverage integrated knowledge translation.
This study addresses priorities outlined by the Long COVID community99 and COVID-19 Rehabilitation Research Framework100 highlighting the need to measure disability to inform best practices and policies for rehabilitation. The framework and Episodic Disability Questionnaire (EDQ) that emerges from this work may yield potential to lay the groundwork for future disability measurement in Long COVID and more broadly across other complex episodic illness.55
Ethics and dissemination
This protocol was approved by the University of Toronto Health Sciences Research Ethics Board (Protocol Reference #41749) on 17 November 2021.
Consent
Phase 1 (qualitative interviews)
Interested individuals will contact the coordinator in each country who will email them an overview of the study with the information/consent form (online supplemental file 1). The individual will be informed of the purpose and rationale of the study, inclusion criteria, potential medical and social risks of participation, the voluntary nature of the study and their right to withdraw at any time, and compensation. Verbal consent for the interview will be taken by the research investigator (over Zoom) at the time of the scheduled interview. The research team member will sign and date the consent form, confirming that verbal consent was obtained.
Phase 2 (questionnaire administration)
Research coordinators will send an initial recruitment email that includes the details of the study, a Qualtrics link to the information cover page. If individuals indicate they are eligible and consent to participate (in Qualtrics), they will be brought to the time 1 (T1) study questionnaires. If an individual participates in the study at T1 (consents to participate and completes the T1 questionnaires), we will email a link for the T2 questionnaire (EDQ only) 1 week later. T1 and T2 cover pages include an electronic eligibility/consent form for participants to complete prior to proceeding with the questionnaire(s). Consent will also be implied with completion of the questionnaires (online supplemental file 2) (T1 cover page) and (online supplemental file 3) (T2 cover page).
Token of appreciation
Participants living in Canada, USA, UK and Ireland will be provided with a $C30, US$20, £15 gift card and €20, respectively, as a token of appreciation for participation in the interview and completion of the demographic questionnaire (phase 1). We will provide participants with a similar token of appreciation for completing both time 1 and 2 questionnaires (phase 2).
Potential risks and benefits
Some adults living with Long COVID may find the interview or questionnaire completion to be cognitively demanding. Participants will be able to take breaks and schedule the interview or questionnaire completion over more than one session. Some of the questions on the questionnaires or in the interviews may be personal or sensitive in nature. Participants can choose not to answer questions and may end the interview or close their browser with the questionnaires on Qualtrics at any time. Interviewers will send participants a follow-up check-in email with contact information for the principal investigator (country lead) and for supportive services at specific community collaborator networks.
There are no direct benefits to participants taking part in this study. However, it may help to develop a new measure of disability and advance knowledge about the disability that adults living with Long COVID experience.
Confidentiality & Data Management
All participant records will be identified by a coded number to maintain confidentiality. A master list of participants with their respective participant numeric codes and contact information will be stored on a password-protected computer file by the investigator in the respective country. The master file linking participant names and email addresses to their number will remain in their country of origin. Electronic copes of the phase 1 (interview) consent forms will be stored on a secure server at the University of Toronto (Canada).
On completion of the interviews, we will immediately upload audio files to Sharefile, a password-protected secure sharing and encrypted transfer system.101 Recordings will be deleted from the recording device and identification numbers will replace participant identifiers on corresponding data.
All questionnaire responses will be downloaded from Qualtrics, an online secure e-survey software that uses Transport Layer Security encryption,66 and transferred to the University of Toronto using Sharefile,101 and stored on a secure server at the University of Toronto. Anonymised data will be shared among investigators using Sharefile. Electronic data will be stored on a password-protected computer in a locked office at the University of Toronto and will be accessible only to investigators and research coordinators. Data will be anonymised when compiling and disseminating results. An anonymised aggregated dataset for this study will be made open access as per the funding conditions of the Canadian Institutes of Health Research via the University of Toronto.
Following the completion of the study, printed and electronic data (excluding audio recorded data) will be retained for 10 years in the same location that it was stored throughout the study. Audio files will be destroyed immediately following publication. Files containing personal contact information will be deleted after publication. All remaining electronic and hard copy data and information related to the study will be retained for 10 years after the completion of the study and then destroyed by the principal investigator (Toronto).
Dissemination
We will translate results among people living with Long COVID, researchers, clinicians and community organisations. Integrated knowledge translation will be led by the community advisory community and facilitated by community networks and organisations. We will develop an Episodic Disability and Long COVID Toolkit, shared widely with researchers, community groups and clinicians that will include approaches for conceptualising disability for people living with Long COVID. Further knowledge translation will occur via publications in open access peer-reviewed scientific journals, presentations at academic conferences, community organisations, webinars and education of trainees, in partnership with community collaborators.
Ethics statements
Patient consent for publication
Acknowledgments
We thank Hannah Davis, Patient-Led Research Collaborative (PLRC) for their role in fostering collaborations with the Long COVID community, the development and refinement of the research protocol and acquisition of funding.
References
Supplementary materials
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Footnotes
Twitter @kellyobrien25, @darrenabrown, @kerlands, @RHardingCSI, @longcovidirl
KKO and DAB contributed equally.
Correction notice This article has been corrected since it was first published. The figure has been updated.
Contributors KKO'B and DAB co-led the conceptualisation of the study objectives, and drafted the protocol, lead the application for acquisition of funding and are the co-lead investigators on the study. KKO'B, DAB, JV, CBe and KME, JV are coprincipal investigators and country leads on the research team, and were involved in the conceptualisation of the study design, development of the protocol and acquisition of funding. LA, SCC, AC, LR, RH and PS are coinvestigators and were involved in the conceptualisation of the study design and contributed to the development of the protocol, and acquisition of funding. SG, LM, MO'H, CT, HW, RS and NR are collaborators and community experts in the Long COVID community who were involved in the review and refinement of the protocol. They are members of the Community Advisory Committee and will lead recruitment of participants and community-integrated knowledge translation. PG is a community collaborator and knowledge translation expert who will be involved in the knowledge translation. NSC-S and BT are research coordinators involved in the recruitment and data collection and contributed to the refinement of the protocol. CBa is a clinician working in Long COVID and coinvestigator who recently joined the team and who reviewed of the protocol. All authors read and approved the final protocol manuscript.
Funding This work is supported by the Canadian Institutes of Health Research (CIHR), Emerging COVID-19 Research Gaps and Priorities Funding Opportunity (Funding Research Number #: GA4-177753), 160 Elgin Street, Ottawa, Ontario, Canada, K1A 0W9). KKO’B is supported by a Tier 2 Canada Research Chair in Episodic Disability and Rehabilitation and AC is supported by a Tier 1 Canada Research Chair in Musculoskeletal and Postmenopausal Health from the Canada Research Chairs Programme.
Competing interests None declared.
Provenance and peer review Not commissioned; peer reviewed for ethical and funding approval prior to submission.
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.