Keywords
COVID-19, Pandemic, Health systems, Training, Emergency preparedness
This article is included in the Emerging Diseases and Outbreaks gateway.
This article is included in the TDR gateway.
COVID-19, Pandemic, Health systems, Training, Emergency preparedness
This version of the manuscript has some minor additions as requested by the peer reviewers. The changes include limitations in the Discussion section and some minor edits to improve reader clarity.
See the authors' detailed response to the review by Bethany Hedt-Gauthier
See the authors' detailed response to the review by Desalegn Woldeyohannes
See the authors' detailed response to the review by Stephen Graham
One of the lessons that should have been learned from the 2014–2015 Ebola epidemic in West Africa, the largest and longest Ebola outbreak in history, was “the need to be better prepared for the next epidemic”1. “The next epidemic” is happening now in 2020 and is the COVID-19 pandemic. This pandemic, of unprecedented global scale and impact, has tested the preparedness and resilience of every country. Among the many factors that contribute to preparedness and resilience, the capacity to undertake health research is a vital component of the response to infectious disease outbreaks. As we have seen from the current pandemic, all countries are at risk of infectious disease outbreaks and need to strengthen their capacity for a timely and effective research response. Capacity to undertake research varies widely among countries, reflecting the extent of investment and efforts to build and retain that capacity, usually over a long period of time. TDR, The Special Programme for Research and Training hosted at the World Health Organization (WHO), has long supported Low- and Middle-Income Countries (LMICs) in strengthening research capacity, through the range of activities needed to develop the necessary institutional base, research infrastructure, training programmes, career development pathways, research portfolio, regulatory frameworks and networks.
Fortunately, most countries, most of the time, do not have such outbreaks, so the opportunities for developing capacity for research through “on the job” learning during an outbreak are limited. This has two key implications. Firstly, developing capacity for research on infectious diseases, including: outbreaks takes place to a large extent before an outbreak (or between outbreaks) and is blind to the next specific infectious agent. Secondly, developing adaptable capacity for research on other health problems contributes to generic research capacity, which becomes applicable during infectious disease outbreaks. TDR supports a number of long-term programmes to strengthen capacity for research on infectious diseases: the Postgraduate Training Scheme (PGTS) on implementation research, the Clinical Research and Development Fellowship (CRDF) scheme on clinical research, and the Structured Operational Research Training InitiaTive (SORT IT) on operational research, a partnership-based initiative led by TDR and implemented in collaboration with various partners (Box 1).
Postgraduate Training Scheme: TDR strengthens individual and institutional capacity for implementation research by supporting a network of seven universities in disease-endemic regions to train Master’s students on courses relevant to implementation research.
Clinical Research and Development Fellowship (CRDF) scheme: TDR supports placements of researchers with relevant partners (including pharmaceutical companies, product development partnerships, and public research institutions involved in clinical research) to strengthen their skills in clinical trials. The scheme started in 1999 with a small number of fellows and was scaled up in 2008 and 2014, with the support of the Bill & Melinda Gates Foundation (Gates Foundation) and in partnership with the International Federation of Pharmaceutical Manufacturers & Associations (IFPMA).
Structured Operational Research Training Programme (SORT IT): TDR coordinates a global partnership-based initiative to support countries and institutions to build sustainable operational research capacity. The target audience is front-line health workers from disease control programmes. The focus of training is on teaching practical skills for the generation of high quality, timely and disaggregated data for evidence-informed decision-making to improve public health.
Stimulated by examples of people who trained on these programmes and used the skills they gained to contribute to the COVID-19 response, we were interested to assess this more systematically. We therefore assessed whether those trained were involved in the COVID-19 response and if so, in which area(s) of the emergency response they were applying their skills.
This was a cross-sectional survey that used three online questionnaires in English (one per programme, see Extended data3; pre-tested on four selected trainees, following which minor changes were made to improve clarity) to gather information from the individuals who had been trained through the three programmes.
From the records of each training programme, we identified individuals who had completed training during the relevant timespan of each programme: 1999–2018 for the CRDF scheme, 2015–2020 for the PGTS, and 2009–2019 for SORT-IT. For those people with available contact details, we sent online questionnaires by e-mail (in March 2020 for SORT-IT and in April 2020 for the CRDF and PGTS) asking if they were currently involved in the COVID-19 response. We asked about the nature of their involvement, and if they were applying their acquired skills in responding to various key areas for tackling the pandemic.
The survey data was exported to Microsoft Excel for data analysis.
As part of monitoring and evaluation of TDR supported training programmes, routine online surveys are conducted to gather information for improving the quality and performance of such trainings. Participation in this survey was voluntary and individual consent was obtained for use of anonymized data for reporting and dissemination, including through publications, via the use of a yes/no tick box question within the questionnaires. As this study was part of routine monitoring and evaluation of a training programme, and potential ethical concerns were addressed (responders were all adults, response was voluntary, data were anonymized, personal identifiers were removed and no sensitive personal questions were included that could risk psychological or social harm), this was thus considered a minimal risk study and specific ethical approval for sending questionnaires was not required.
A total of 1143 individuals out of 1254 trained could be contacted; 699 responded to the survey. Table 1 shows the number of participants who reported involvement in the COVID-19 response, the number applying their acquired skills and the number of countries involved. Of 699 individuals who responded to the survey, 411 (59%; 152 female) reported involvement in the COVID-19 response, with 315 (77%) of the latter applying their acquired skills in 85 countries around the globe. With some overlap between programmes, 84% of those trained through CRDF were applying their skills in 27 countries, 91% of those trained through PGTS were applying their skills in 47 countries, and through SORT IT, this was 73% in 62 countries.
Training programme | Trained n | Contacted n | Responded n | Involved in COVID-191 n (%) | Applying skills2 n (%) | Countries |
---|---|---|---|---|---|---|
Clinical Research and Development Fellowship scheme | 111 | 104 | 68 (65) | 45 (66) | 38 (84) | 27 |
Postgraduate Training Scheme | 248 | 208 | 143 (69) | 64 (45) | 58 (91) | 47 |
Structured Operational Research and Training Initiative | 895 | 831 | 488 (59) | 302 (62) | 219 (73) | 62 |
TOTAL | 1254 | 1143 | 699 | 411 | 315 | 853 |
1 Percentage is calculated using the number who responded as the denominator
2 Percentage is calculated using the number involved with COVID-19 as the denominator
3 This figure represents numbers of individual countries without overlaps between programmes.
TDR: UNICEF, UNDP, World Bank, WHO Special Programme for Research and Training in Tropical Diseases.
Table 2 shows that trainees are applying their skills in a range of critical areas of the COVID-19 pandemic response. In terms of research, 74% of those trained through the CRDF scheme, were involved in clinical research, most commonly as a clinical trial manager. For PGTS, 45% were involved in implementation, operational research or clinical research, while 26% of trainees from the SORT IT programme were involved in implementation and/or clinical research.
Area of the COVID-19 response | Trainees applying skills1 | ||
---|---|---|---|
CRDF (N=38) n (%) | PGTS (N=58) n (%) | SORT IT (N=219) n (%) | |
Research | 28 (74) | 26 (45) | 56 (26) |
Critical preparedness and response | 17 (45) | 30 (52) | 88 (40) |
Situation analysis/surveillance | 14 (37) | 47 (81) | 142 (65) |
Infection control and clinical management | 14 (37) | 30 (52) | 82 (37) |
Data generation, analysis and reporting | 17 (45) | 39 (67) | 119 (54) |
Mitigating effect of COVID on other diseases | 4 (10) | 19 (33) | 50 (23) |
Other2 | 6 (16) | 39 (67) | 15 (7) |
The survey findings show that substantial numbers of health workers who were trained to improve their research capacity prior to the COVID-19 pandemic are currently involved in a wide range of emergency response activities.
This suggests that the respondents have used the specific skills they gained through trainings in combination with their abilities and knowledge as transferable competencies in responding to COVID-19 through a range of research and health system areas. This reinforces the value of TDR’s emphasis on developing core competencies (i.e. sets of skills combined with abilities and knowledge) through research training4,5. It also underscores the longer-term gains of investing in research capacity building programmes.
Regarding contribution to the research response to COVID-19, the high involvement of those trained through the CRDF scheme in clinical research (74%) is a practical example of applying the recommendation in the 2018 World Bank report “Money and microbes: strengthening clinical research capacity to prevent epidemics” concerning leveraging capacity-building from the private sector6.
The significant involvement of trainees from PGTS and SORT IT in implementation and operational or clinical research shows that strengthening of core national research capacity before (or between) epidemics can make an important contribution to the timely mobilization of research resources during an epidemic.
The role played by TDR in supporting LMICs to strengthen capacity for clinical and implementation/operational research is in line with the WHO R&D blueprint1 (the global strategy and preparedness plan that allows the rapid activation of research and development activities during epidemics). The development of the R&D blueprint in the aftermath of the 2014–2015 Ebola epidemic in West Africa was a recognition of the need to galvanize research, with the aim “to fast-track the availability of effective tests, vaccines and medicines that can be used to save lives and avert large scale crisis”1. The focus on R&D needs to be complemented by efforts to promote implementation research, which helps to make sure that as new diagnostics, drugs and vaccines emerge from R&D pipelines they are evaluated in clinical trials and approved, they are made available to all who could benefit from them. Resources are needed to strengthen capacity for implementation/operational research, as well as for clinical research, in the LMICs where outbreaks are likely to occur7.
Regarding contribution to the broad health system response to COVID-19, the survey results show that more than seven-in-ten of all trained prior to the COVID-19 pandemic are currently involved in a range of health system areas. These areas include: critical preparedness and response, situation analysis/surveillance, infection control and clinical management, data generation, analysis and reporting, and mitigating the effect of COVID-19 on other diseases. The research training has thus had wider benefits going beyond research, to provide generic skills that can be applied to a range of areas needed to tackle the pandemic. Limitations of this study are that we had no comparison group and we are unable to know the influence of non-response and social desirability bias. The extent and quality of contribution to the COVID response could also not be clearly defined.
In conclusion, the three TDR-supported training programmes have strengthened the health research capacity of health workers, thereby contributing not only to research but also to emergency preparedness and the broad health systems response to COVID-19. Such training programmes help build country resilience to epidemics.
Open Science Framework: TDR_Training_COVID_Survey, https://doi.org/10.17605/OSF.IO/7YSZ23.
This project contains the following underlying data:
Dataset_1_CRDF_Survey_data_F1000.csv (Contains survey data on Clinical Research and development fellowships).
Dataset_2. PGTS_Survey_data_F1000.csv (Contains survey data on Post Graduate Training Scheme)
Dataset_3. SORT_IT_Survey_Data_F1000.csv (Contains survey data on Structured Operational Research and Training Initiative)
Open Science Framework: TDR_Training_COVID_Survey, https://doi.org/10.17605/OSF.IO/7YSZ23.
The project contains the following extended data:
Extended_data_questionnaire_1_CRDF.docx (Survey questionnaire for Clinical Research and development fellowships)
Extended_data_questionnaire_2_PGTS.docx (Survey questionnaire for Post Graduate Training Scheme)
Extended_data_questionnaire_3_SORT_IT.docx (Survey questionnaire for Structured Operational Research and Training Initiative)
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
We are grateful to all collaborating partners involved with the Postgraduate Training Scheme and Clinical Research and Development Fellowship scheme, and all implementing partners of the global SORT IT partnership coordinated by TDR. (https://www.who.int/tdr/capacity/strengthening/sort/en/)
TDR is able to conduct its work thanks to the commitment and support from a variety of funders. These include our long-term core contributors from national governments and international institutions, as well as designated funding for specific projects within our current priorities. A full list of TDR donors is available on our website at: https://www.who.int/tdr/about/funding/en/
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Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: I am a public health pharmacist. My research interest is in Pharmacoepidemiologic research, with particular emphasis in drug safety and pharmacovigilance.
Competing Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Public health, biomedical science
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: I have collaborated with individuals on this paper in the last three years but have given this paper an honest and thorough review.
Reviewer Expertise: Health systems research; research training and capacity building
Alongside their report, reviewers assign a status to the article:
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Version 1 09 Jun 20 |
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