Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2022 Apr 27;17(4):e0266770. doi: 10.1371/journal.pone.0266770

Motivating factors, barriers and facilitators of participation in COVID-19 clinical research: A cross-sectional survey of Canadian community intensive care units

Jennifer L Y Tsang 1,2,3,*, Robert Fowler 4,5, Deborah J Cook 6,7, Karen E A Burns 4,6,8, Kylee Hunter 9, Victoria Forcina 2, Anna Hwang 2, Erick Duan 1,3,7, Lisa Patterson 3, Alexandra Binnie 10
Editor: Gebisa Guyasa Kabito11
PMCID: PMC9045667  PMID: 35476678

Abstract

Only a small proportion of COVID-19 patients in Canada have been recruited into clinical research studies. One reason is that few community intensive care units (ICUs) in Canada participate in research. The objective of this study was to examine the motivating factors, barriers and facilitators to research participation amongst Canadian community ICU stakeholders. A cross-sectional online survey was distributed between May and November 2020. The survey focused on 6 domains: participant demographics, ICU characteristics, ICU research infrastructure, motivating factors, perceived barriers, and perceived facilitators. Responses were received from 73 community ICU stakeholders, representing 18 ICUs. 7/18 ICUs had a clinical research program. Participants rated their interest in pandemic research at a mean of 5.2 (Standard Deviation [SD] = 1.9) on a 7-point Likert scale from ‘not interested’ to ‘very interested’. The strongest motivating factor for research participation was the belief that research improves clinical care and outcomes. The most significant facilitators of research involvement were the availability of an experienced research coordinator and dedicated external funding to cover start-up costs, while the most significant barriers to research involvement were a lack of start-up funding for a research coordinator and a lack of ICU research experience. Canadian Community ICU stakeholders are interested in participating in pandemic research but lack basic infrastructure, research personnel, research experience and start-up funding. Evolution of a research support model at community hospitals, where most patients receive acute care, may increase research participation and improve the generalizability of funded research in Canada.

Introduction

In the 20 months since the emergence of Coronavirus Disease-2019 (COVID-19), close to 210 million cases have been confirmed worldwide. Globally, more than 4.3 million deaths have been documented. As of February 10, 2022, Canada has recorded more than 3.16 million cases, resulting in more than 35,000 deaths [1].

Massive international efforts are underway to identify effective treatments for COVID-19 and several successful therapies have been identified including corticosteroids [2, 3] and IL-6 inhibitors [4]. However, the morbidity and mortality of COVID-19 remain high, particularly with the proliferation of new variants [5].

Although Canadian hospitals have contributed sizably to COVID-19 research investigations, only a small proportion of eligible COVID-19 patients in Canada have been enrolled in clinical trials. One of the reasons for Canada’s low research participation is that relatively few Canadian hospitals participate in clinical research. This is particularly true of community hospitals, accounting for over two-thirds of Canadian hospital beds [6], which have historically had limited research involvement [7].

Community hospitals represent a large untapped resource for research in Canada. Patient recruitment in community hospitals would increase study enrolment and accelerate the pace of knowledge acquisition. It would also potentially engage a more diverse population of Canadian patients in research studies, including Canadians living in rural areas, the North, near-North, and more indigenous Canadians. Finally, in the context of the COVID-19 pandemic, it would ensure that research studies are implemented across many regions, recognizing that COVID-19 is most active in different regions at different times.

Recognizing the need for broader participation in COVID-19 pandemic research, we designed, tested and administered a web-based cross-sectional survey of Canadian community ICUs to understand the motivating factors, facilitators and barriers to participation in COVID-19 pandemic research, with the goal of developing strategies to increase research engagement in community hospitals.

Materials and methods

Survey development and testing

We conducted this survey from May 2020 to November 2020. To generate relevant survey items, two investigators (J.T and A.B) reviewed the literature for motivating factors, barriers and facilitators of research participation. Six investigators (J.T., A.B., K.E.B, R.F, D.J.C., and E.D) generated and grouped the survey items into 6 domains, including participant demographics, hospital research infrastructure, ICU characteristics, motivating factors, perceived facilitators, and perceived barriers. The final survey included multiple question formats (yes/no, nominal, ordinal and Likert scales and open-ended questions). (S1 Appendix).

Participants were also asked to evaluate 3 models of financial support for community ICU participation in pandemic research: in Model A, the ICU would receive a partial subsidy for a research coordinator (RC) salary and retain full autonomy over the research program, including receiving all study payments. In Model B, an individual study sponsor would hire an RC externally who would work remotely recruiting patients for that study only, and all study payments would revert to the sponsor. The ICU would be free to join whichever studies they preferred but would not receive study payments. Finally, in Model C, an external sponsor would hire an RC to recruit locally for a package of studies. All study payments would revert to the sponsor and the ICU would have limited choices in terms of which studies to join. In addition to indicating their preferred model, participants were asked to explain their rationale for their preferred model. (See S1 Appendix for additional details.)

The pilot questionnaire was reviewed by three critical care physicians for relevance and flow.

Survey administration

The target population was healthcare professionals working in Canadian community ICUs. Eligible survey respondents included any ICU staff member including critical care physicians, nurses, allied health professionals (pharmacists, physiotherapists, respiratory therapists, occupational therapists, registered dietitians), research staff (research coordinators, research assistants, research managers) or hospital administrators. The survey was disseminated through the Canadian Critical Care Trials Group, the Canadian Community ICU Research Network, the Canadian Critical Care Society by word of mouth, email and through social media platforms associated with these groups. We sent a single reminder through the Canadian Community ICU Research Network. Due to the self-selected and non-probabilistic nature of the sample, invitations and response rates could not be quantified.

Statistical analysis

Data are described as mean and standard deviation or median and interquartile range (IQR) for continuous variables and number and percentage for categorical variables; data from Likert scales were treated as continuous variables. Continuous variables were compared using the parametric Student’s t-test or the non-parametric Kruskal-Wallis or Wilcoxon rank sum tests.

Ethical consideration

Ethics approval was obtained from the Hamilton Integrated Research Ethics Board (HiREB #11101). Informed consent was obtained electronically via online survey tool (REDCap).

Results

Participant demographics

We received responses from 73 Canadian community ICU professionals, representing 18 community ICUs. Most participants worked in Ontario (78.1%). Female respondents outnumbered male respondents (60.3 vs. 39.7%). The largest professional group was physicians (32.9%), followed by registered nurses (30.1%), pharmacists (8.2%), hospital administrators (8.2%), nurse practitioners (6.8%), respiratory therapists (6.8%), and research coordinators (5.5%) Fig 1.

Fig 1. Participant demographics–by professions.

Fig 1

Characteristics of ICUs

The 18 ICUs represented by respondents ranged in size from fewer than 10 ventilated beds to over 40 ventilated beds, with a median of 16–20 beds. All of the ICUs cared for medical patients (18/18) while the majority also cared for surgical patients (17/18). Care for specialized patient populations such as coronary care (7/18), neurosurgical care (1/18) and trauma (1/18) were uncommon while none of the ICUs reported providing care for burns (0/18), cardiovascular surgery (0/18) or transplant (0/18) populations. During the first wave of the COVID-19 pandemic (February to June 2020), the peak number of COVID-19 patients in each ICU varied significantly from 1–5 patients (9/18) to 6–10 patients (2/18), 11–15 patients (4/18) and 16–20 patients (3/18).

Pre-existing research infrastructure in community ICUs

Participants were asked about the availability of research infrastructure in their hospitals and ICUs. Responses revealed that a majority of institutions had research policies and procedures (10/18) as well as a research ethics board (9 local, 4 remote). A majority also had a pre-existing research program within the hospital (10/18), although not necessarily in the ICU, and a pharmacy department with research capability or experience (9/18). Few than half of the community ICUs had pre-existing ICU research programs (7/18) or access to an ICU research coordinator or assistant (6/18). In addition, only a minority of ICUs reported a hospital research administration office (7/18), on-site contract review capability (4/18), a clinical laboratory with research capability or experience (2/18) and a diagnostic imaging department with research capability or experience (2/18) Table 1.

Table 1. Pre-existing hospital research infrastructure (N = 18).

Pre-existing Research Infrastructure Percentage of Community Hospitals (%)
Pre-existing ICU research program 39
Pre-existing research program(s) in other clinical department(s) in the hospital 56
Research coordinator(s) or research assistant (s) in the ICU 33
Research coordinator(s) or research assistant (s) in other clinical department(s) in the hospital 33
Local research ethics board 50
Remote research ethics board 22
Hospital research administration/office 39
On-site contract review capability 22
Research policies and procedures 56
Pharmacy department with research capability or experience 50
Clinical laboratory department with research capability or experience 11
Diagnostic imaging department with research capability or experience 11
Other 11

To gauge the degree of local research expertise, participants were asked about their personal research experience: 64% had experience caring for patients enrolled in clinical research studies, 45% had research experience as a trainee, 15% had experience as a principal investigator, 21% as a local site investigator or co-investigator, and 18% as a research coordinator or research assistant. In addition, 23% had research training at the graduate level, 27% through online research courses, and 30% had basic science research experience. In total, 86% of participants had at least one form of research experience. Amongst physicians, 92% had at least one form of research experience and 54% had experience as a principal investigator, local site investigator or co-investigator Fig 2.

Fig 2. Participants previous research experience (N = 73).

Fig 2

Participant research interest and motivating factors for COVID-19 research

Respondents were asked about their interest in participating in COVID-19 clinical research on a 7-point Likert scale from ‘not interested (1)’ to ‘very interested (7)’. The mean level of interest was 5.2 (SD = 1.9), with 81% of participants reporting an interest level of 4 or above and 55% reporting an interest level of 6 or 7 Fig 3. Physicians reported greater interest in COVID-19 research (mean = 5.8, SD = 1.5, n = 24) than did allied health professionals, including pharmacists, respiratory therapists, speech pathologists, and administrators (mean = 4.4, SD = 2.1, n = 18) (p = 0.017). Research coordinators reported the highest level of interest in COVID-19 research (mean = 7.0, SD = 0, n = 4). Nurses were intermediate in their interest level (mean = 5.0, SD = 2.1, n = 27) and were not significantly different from physicians.

Fig 3. Level of research interest by professions.

Fig 3

Participants were asked to rate 12 potential motivating factors for research participation on a 5-point Likert scale ranging from ‘strongly disagree (1)’ to ‘strongly agree (5)’. The top 5 motivating factors were: research improves clinical care and outcomes (4.7, SD = 0.6), research advances medical knowledge (4.6, SD = 0.5), participation in research allows participants to stay informed about current research (4.3, SD = 0.7), participation in research allows participants to establish collaborations with other ICUs/ICU research (4.2, SD = 0.8), and research enhances professional opportunities in the hospitals (4, SD = 0.9) Fig 4.

Fig 4. Motivating factors for research.

Fig 4

Barriers to community ICU research participation

Respondents were also asked to evaluate potential barriers to community ICU research involvement on a 5-point Likert scale from ‘not significant (1)’ to ‘very significant (5)’. The 5 most significant barriers were: lack of start-up funding for research coordinator (3.8, SD = 1.1), inadequate per-patient payments to sustain research coordinator salary (3.6, SD = 1.0), staff workload is too high due to pandemic-related pressures (3.5, SD = 1.2), community ICUs are not known or expected to do research (3.4, SD = 1.2), and lack of research experience in ICU (3.3, SD = 1.2) Fig 5.

Fig 5. Barriers to community ICU research participation.

Fig 5

Respondents also proposed the following additional barriers to COVID-19 research participation: inability of healthcare professionals to hold dual clinical and research jobs due to hospital regulations, lack of patients to be recruited to many clinical trials, unwillingness of hospital administrators to reassign modified-duty healthcare professionals to take on research roles, and lack of compensation for healthcare professionals for the additional work related to research.

Facilitators of community ICU research participation

Respondents were asked to evaluate potential facilitators of community ICU research involvement on a 5-point Likert scale from ‘not significant (1)’ to ‘very significant (5)’. The top 5 most significant facilitators were: dedicated external funding to provide start-up costs for research program (4.3, SD = 1.0), dedicated external funding to sustain ongoing costs for research program (4.3, SD = 0.9), availability of an experienced research coordinator (4.2, SD = 1.1), participation in research networks that support community hospitals (4, SD = 1.2), and partnership with academic hospitals (3.9, SD = 1.3) Fig 6.

Fig 6. Facilitators of community ICU research participation.

Fig 6

Respondents also proposed the following additional facilitators: increased per-patient enrolment payment to improve research program sustainability, simplified research protocols and data collection to reduce cost, creation of regional research programs to provide logistical support, and provision of research funding from global hospital budgets.

Financial support models for community ICUs to participate in COVID-19 pandemic research

Respondents were asked to indicate their preferred models of financial support for community ICU participation in COVID-19 clinical research, based on 3 proposed models (see Methods section). Most preferred Model A (56.5%), in which the ICU would receive a partial subsidy from study sponsor to assist with the costs of hiring a research coordinator. Participants felt that this model retained autonomy while allowing their ICU to build local research capacity. Model B, in which research coordinators would be hired by individual studies to recruit patients remotely for a particular study, was preferred by 15.9% of participants. These respondents stated that Model B was more sustainable for smaller hospitals and would have less impact (time and financial commitment) on the ICU as a whole. Finally, Model C, in which an external sponsor would hire and pay for a coordinator to work locally for a package of studies in the ICU with all payments reverting to the sponsor was preferred by 27.5% of participants. These respondents considered that Model C was more flexible and offered the highest level of financial support.

Discussion

To our knowledge, this is the first study exploring the level of interest, motivating factors, barriers and facilitators of community ICU participation in COVID-19 pandemic research. Our results demonstrate that interest in COVID-19 research is high, particularly amongst physicians and research coordinators. Most stakeholders believe that engaging in research would result in better patient care and advances in medical knowledge, while also improving job satisfaction.

These beliefs are consistent with studies suggesting that participation in research enhances patient care. Snihur et al reported a growing body of evidence suggesting that hospitals participating in research have better patient outcomes for coronary artery disease, colorectal cancer and ovarian cancer [812]. The benefits were primarily driven by the formation of innovative, research-oriented medical teams, enhanced training opportunities for hospital staff, rapid adoption of new clinical guidelines and the attraction and retention of talent [13].

However, our study also reveals many perceived barriers to research participation in community hospitals, including a lack of financial support and the absence of experienced research coordinators to initiate and implement research programs. When asked about models of external financial support, most respondents preferred a model in which a partial subsidy was provided to help cover research coordinator salary, thereby reducing the financial risk associated with the participation in clinical research.

Our results highlight a much-needed discussion about the one-size-fits-all approach to research funding in Canada. Clinical research studies typically pay an umbrella of start-up fee to cover start-up costs, followed by a per-patient fee for each patient enrolled. However, these payments presume that there is a pre-existing research program at the participating centre. Start-up costs for centres without pre-existing research infrastructure can be significant and are not factored into study payments. These costs may include establishing research infrastructure (research ethics boards, research administration, contract review), creating research policies and procedures, hiring and training research coordinators, training pharmacy staff, nurse managers and physicians in research best practices, and negotiating research protocols with hospital departments such as laboratory, pharmacy, and diagnostic imaging. In the absence of funding to support these start-up costs, the challenges of creating a new research program from the ground up may be insurmountable.

In addition to a lack of financial support, a lack of research experience was also identified as a barrier to clinical research participation. One solution is to partner community hospitals with academic hospitals in a research mentoring relationship. For example, St. Joseph’s Healthcare, an academic hospital in Hamilton, Ontario, has established a close research partnership with the ICUs at Niagara Health, a community hospital network in the Niagara Region, and at Brantford General Hospital in Brantford, Ontario. These partnerships have enabled both Niagara Health and Brantford General Hospital to start-up and sustain robust clinical research programs incorporating many trials. An alternative mentorship model exists in Alberta where academic and community hospitals are geographically clustered into ‘Health Zones’. In the Edmonton Health Zone, all three of the community ICUs: Sturgeon Community Hospital, Grey Nuns Community Hospital, and Misericordia Hospital, have been actively participating in the CATCO trial of COVID-19 therapies [14].

Finally, developing a national research network to link community hospitals that are interested in conducting research could empower community hospitals to participate in clinical trials [15]. The Canadian Cancer Clinical Trial Network is an example of a network that links community hospitals to each other as well as to nearby academic hospitals to facilitate research program development and clinical trial enrolment [16].

Limitations

Our study has several limitations. Survey respondents were self-selected and responses may not be generalizable to all Canadian community ICU stakeholders. However, respondents were recruited from both small and large community ICUs, as well as those with and without ICU research programs, to capture a variety of perspectives. Respondents from Ontario were also overrepresented relative to those from other provinces, however, Ontario has a high proportion of community ICUs and several of the largest community hospitals and hospital networks in Canada are located in Ontario.

Conculsion

Canadian Community ICU stakeholders are interested in participating in pandemic research and recognize the importance of clinical research for improving clinical care and outcomes. However, there is a lack of basic research infrastructure in community ICUs, including research personnel, research experience, and start-up funding. Evolution of a research support model at community hospitals, where most patients receive their acute care, may increase research participation and improve the generalizability of funded research in Canada.

Supporting information

S1 Data

(XLSX)

S1 Appendix

(PDF)

Acknowledgments

Jennifer L.Y. Tsang holds a McMaster University Department of Medicine Mid-Career Research Award. Deborah J. Cook holds a Canada Research Chair from the Canadian Institutes of Health Research. Karen E.A. Burns holds a PSI-50 Mid-Career Clinical Research Award. Rob Fowler is the H. Barrie Fairley Professor of Critical Care at the University Health Network & Interdepartmental Division of Critical Care Medicine.

Data Availability

All relevant data are within the manuscript and its supporting information files.

Funding Statement

JT received the Canadian Critical Care Trials Group Early Career Research Award to support this study. https://www.ccctg.ca/Home The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Government of Canada. (2022, Feb 10). COVID-19 Daily Epidemiology Update. Canada.ca. Retrieved February 10, 2022, from https://health-infobase.canada.ca/covid-19/epidemiological-summary-covid-19-cases.html
  • 2.The RECOVERY Collaborative Group. (2021). Dexamethasone in Hospitalized Patients with Covid-19. New England Journal of Medicine, 384(8), 693–704. 10.1056/nejmoa2021436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.The Writing Committee for the REMAP-CAP Investigators. (2020). Effect of Hydrocortisone on Mortality and Organ Support in Patients with Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial. JAMA, 324(13), 1317–1329. 10.1001/jama.2020.17022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.The REMAP-CAP Investigators. (2021). Interleukin-6 Receptor Antagonists in Critically Ill Patients with Covid-19. New England Journal of Medicine, 384, 1491–1502. 10.1056/nejmoa2100433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Challen R., Brooks-Pollock E., Read J. M., Dyson L., Tsaneva-Atanasova K., & Danon L. (2021). Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study. BMJ, 372(n579). 10.1136/bmj.n579 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Canadian Institute for Health Information. (2018). Number of Hospital Beds Staffed and in Operation, 2016–2017. www.cihi.ca/en/access-data-reports/results?query=Hospital+Beds+Staffed+and+In+Operation%2C+2016-2017&Search+Submit=.
  • 7.DiDiodato G., DiDiodato J. A., & McKee A. S. (2017). The research activities of Ontario’s large community acute care hospitals: a scoping review. BMC Health Services Research, 17(566). 10.1186/s12913-017-2517-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Downing A., Morris E. J. A., Corrigan N., Sebag-Montefiore D., Finan P. J., Thomas J. D., et al. (2016). High hospital research participation and improved colorectal cancer survival outcomes: a population-based study. Gut, 66(1), 89–96. 10.1136/gutjnl-2015-311308 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Bois A. D., Rochon J., Lamparter C., & PFisterer J. (2005). Pattern of care and impact of participation in clinical studies on the outcome in ovarian cancer. International Journal of Gynecological Cancer, 15(2), 183–191. 10.1111/j.1525-1438.2005.15202.x [DOI] [PubMed] [Google Scholar]
  • 10.Majumdar S. R., Roe M. T., Peterson E. D., Chen A. Y., Gibler W. B., & Armstrong P. W. (2008). Better Outcomes for Patients Treated at Hospitals That Participate in Clinical Trials. Archives of Internal Medicine, 168(6), 657–662. 10.1001/archinternmed.2007.124 [DOI] [PubMed] [Google Scholar]
  • 11.Rochon J., & du Bois A. (2011). Clinical research in epithelial ovarian cancer and patients’ outcome. Annals of Oncology, 22(Suppl. 7), vii16–vii19. 10.1093/annonc/mdr421 [DOI] [PubMed] [Google Scholar]
  • 12.Snihur A., Mullin A., Haller A., Wiley R., Clifford P., Roposa K., et al. (2020). Fostering Clinical Research in the Community Hospital: Opportunities and Best Practices. Healthcare Quarterly, 23(2), 30–36. 10.12927/hcq.2020.26277 [DOI] [PubMed] [Google Scholar]
  • 13.Krzyzanowska M. K., Kaplan R., & Sullivan R. (2011). How may clinical research improve healthcare outcomes? Annals of Oncology, 22(Suppl. 7), vii10–vii15. 10.1093/annonc/mdr420 [DOI] [PubMed] [Google Scholar]
  • 14.Murthy S. CATCO Canadian Sites. In: Tsang J, editor. June 7, 2021. [Google Scholar]
  • 15.Gehrke P., Binnie A., Chan S. P. T., Cook D. J., Burns K. E. A., Rewa O. G., et al. (2019). Fostering community hospital research. Canadian Medical Association Journal, 191(35), E962–E966. 10.1503/cmaj.190055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ontario Institute for Cancer Research. (n.d.). The Canadian Cancer Clinical Trials Network. https://3ctn.ca

Decision Letter 0

Gebisa Guyasa Kabito

9 Feb 2022

PONE-D-21-33770Motivating Factors, Barriers and Facilitators of Participation in COVID-19 Clinical Research A Cross-Sectional Survey of Canadian Community Intensive Care UnitsPLOS ONE

Dear Authors,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

Please submit your revised manuscript by Mar 30 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Gebisa Guyasa Kabito, MPH

Academic Editor

PLOS ONE

Journal Requirements:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified (1) whether consent was informed and (2) what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

If you are reporting a retrospective study of medical records or archived samples, please ensure that you have discussed whether all data were fully anonymized before you accessed them and/or whether the IRB or ethics committee waived the requirement for informed consent. If patients provided informed written consent to have data from their medical records used in research, please include this information.

3. We note that you have stated that you will provide repository information for your data at acceptance. Should your manuscript be accepted for publication, we will hold it until you provide the relevant accession numbers or DOIs necessary to access your data. If you wish to make changes to your Data Availability statement, please describe these changes in your cover letter and we will update your Data Availability statement to reflect the information you provide

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: N/A

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: For abstract: Include mean/SD/p value in results section

Conclusion for abstract

Cite line 73 (introduction)

The study was well conducted and written.

Hope it will give the merits of improving COVID 19 research in your community and elsewhere.

Reviewer #2: This is an online survey, and as such it gives useful information about what canadian intensivists think is needed to increase clinical research. Most of the critical factors identified as motivating, facilitating or obstructing, are probably of general validity.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2022 Apr 27;17(4):e0266770. doi: 10.1371/journal.pone.0266770.r002

Author response to Decision Letter 0


19 Mar 2022

Dear PLOS One Editors and Reviewers,

Thank you for spending the time reviewing our manuscript despite your busy schedule and providing comments.

We have made changes to our manuscript as suggested by editors and reviewers. Please see our responses in red below.

We have also made some minor editorial changes to the rest of the manuscript. These changes are marked via tracked changes. I have included both the tracked changes file and clean file.

Reviewer #1: For abstract: Include mean/SD/p value in results section Mean and SD included. P value is not applicable here.

Conclusion for abstract I am unclear on what is requested here.

Cite line 73 (introduction) Completed

Thank you for the comment. We have made the above changes accordingly.

The study was well conducted and written.

Hope it will give the merits of improving COVID 19 research in your community and elsewhere.

Thank you.

Reviewer #2: This is an online survey, and as such it gives useful information about what Canadian intensivists think is needed to increase clinical research. Most of the critical factors identified as motivating, facilitating or obstructing, are probably of general validity.

Thank you.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. Completed. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Done.

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified (1) whether consent was informed and (2) what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information. Informed consent was obtained electronically via online survey tool (REDCap). We have amended the manuscript in ethics statement and online submission information.

If you are reporting a retrospective study of medical records or archived samples, please ensure that you have discussed whether all data were fully anonymized before you accessed them and/or whether the IRB or ethics committee waived the requirement for informed consent. If patients provided informed written consent to have data from their medical records used in research, please include this information. N/A

3. We note that you have stated that you will provide repository information for your data at acceptance. Should your manuscript be accepted for publication, we will hold it until you provide the relevant accession numbers or DOIs necessary to access your data. If you wish to make changes to your Data Availability statement, please describe these changes in your cover letter and we will update your Data Availability statement to reflect the information you provide Will do.

Thank you. We look forward to hearing from you.

Jennifer Tsang, MD, PhD, FRCPC, ABOM Diplomate

Research Lead, Intensivist, Niagara Health

Physician Co-Lead, Critical Care Research Program, Niagara Health

Regional Deputy Research Director, Internal Medicine Residency Program, McMaster University

Associate Professor of Medicine, McMaster University

March 6, 2022

Attachment

Submitted filename: Response to Reviewers Comments 2022-03-06.docx

Decision Letter 1

Gebisa Guyasa Kabito

28 Mar 2022

Motivating Factors, Barriers and Facilitators of Participation in COVID-19 Clinical Research A Cross-Sectional Survey of Canadian Community Intensive Care Units

PONE-D-21-33770R1

Dear Authors,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Gebisa Guyasa Kabito, MPH

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Gebisa Guyasa Kabito

6 Apr 2022

PONE-D-21-33770R1

Motivating factors, barriers and facilitators of participation in COVID-19 clinical research: a cross-sectional survey of Canadian community intensive care units

Dear Dr. Tsang:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Gebisa Guyasa Kabito

Academic Editor

PLOS ONE

Associated Data

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

    Supplementary Materials

    S1 Data

    (XLSX)

    S1 Appendix

    (PDF)

    Attachment

    Submitted filename: Response to Reviewers Comments 2022-03-06.docx

    Data Availability Statement

    All relevant data are within the manuscript and its supporting information files.


    Articles from PLoS ONE are provided here courtesy of PLOS

    RESOURCES