scholarly journals Sustained research capacity after completing a Structured Operational Research and Training (SORT IT) course

2016 ◽  
Vol 6 (3) ◽  
pp. 207-208 ◽  
Author(s):  
N. Guillerm ◽  
S. dar Berger ◽  
K. Bissell ◽  
A. M. V. Kumar ◽  
A. Ramsay ◽  
...  
2015 ◽  
Vol 5 (4) ◽  
pp. 266-268 ◽  
Author(s):  
N. Guillerm ◽  
K. Tayler-Smith ◽  
S. Dar Berger ◽  
K. Bissell ◽  
A. M. V. Kumar ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 1500762 ◽  
Author(s):  
Jaya Prasad Tripathy ◽  
Ajay MV Kumar ◽  
Nathalie Guillerm ◽  
Selma Dar Berger ◽  
Karen Bissell ◽  
...  

2016 ◽  
Vol 6 (1) ◽  
pp. 44-49 ◽  
Author(s):  
A. M. V. Kumar ◽  
H. D. Shewade ◽  
J. P. Tripathy ◽  
N. Guillerm ◽  
K. Tayler-Smith ◽  
...  

2021 ◽  
Vol 15 (09.1) ◽  
pp. 3S-6S
Author(s):  
Hayk Davtyan ◽  
Karapet Davtyan ◽  
Anthony D Harries ◽  
Anthony Reid ◽  
Garry Aslanyan ◽  
...  

The Structured Operational Research and Training Initiative (SORT IT) model has contributed to building research capacity and has produced evidence for improving public health program performance in countries with limited research capacity. The model involves hands-on mentorship and consists of three modules/weeks. It is recognized to be an innovative research capacity building model. In a world changed by COVID-19, where bringing people together is not viable, an innovative, interactive, web-based, knowledge-transfer platform (e-SORT IT) for virtual implementation of SORT IT modules was created. The platform design imitated the residential course as closely as possible with the same lectures, plenary sessions, and breakout rooms. Despite the challenges, the platform performed well and even though participants and mentors were located in eight different time zones, the course was successful; 90% of participants achieved their milestones and 10 manuscripts were successfully completed. Participant evaluation revealed a satisfaction level that was nearly equivalent to the residential module. However, mentor evaluation indicated a number of shortcomings including capacity building, professional networking, communication, engagement, and contribution by participants, as well as overall module success. In conclusion, COVID-19 stimulated the creation of the e-SORT IT platform that provided a functional alternative to the residential version. Despite the limitations of reduced capacity building and networking, the e-SORT IT platform should be considered a success – it delivered the goods. This is an example of innovation and flexibility, two attributes that are sorely needed to maintain activities during the pandemic and beyond.


2020 ◽  
Vol 5 (3) ◽  
pp. 118
Author(s):  
Rony Zachariah ◽  
Selma Dar Berger ◽  
Pruthu Thekkur ◽  
Mohammed Khogali ◽  
Karapet Davtyan ◽  
...  

(1) Introduction. The Structured Operational Research and Training IniTiative (SORT IT) supports countries to build operational research capacity for improving public health. We assessed whether health workers trained through SORT IT were (1) contributing to the COVID-19 pandemic response and if so, (2) map where and how they were applying their SORT IT skills. (2) Methods. An online questionnaire survey of SORT IT alumni trained between 2009 and 2019. (3) Results. Of 895 SORT IT alumni from 93 countries, 652 (73%) responded to the survey and 417 were contributing to the COVID-19 response in 72 countries. Of those contributing, 307 (74%) were applying their SORT IT skills to tackle the pandemic in 60 countries and six continents including Africa, Asia, Europe, South Pacific and North/South America. Skills were applied to all the pillars of the emergency response with the highest proportions of alumni applying their skills in data generation/analysis/reporting (56%), situation analysis (55%) and surveillance (41%). Skills were also being used to mitigate the health system effects of COVID-19 on other diseases (27%) and in conducting research (26%). (4) Conclusion. Investing in people and in research training ahead of public health emergencies generates downstream dividends by strengthening health system resilience for tackling pandemics. It also strengthens human resources for health and the integration of research within health systems.


2020 ◽  
Vol 5 (4) ◽  
pp. 167
Author(s):  
Rony Zachariah ◽  
Stefanie Rust ◽  
Pruthu Thekkur ◽  
Mohammed Khogali ◽  
Ajay MV Kumar ◽  
...  

Introduction: Observational studies are often inadequately reported, making it difficult to assess their validity and generalizability and judge whether they can be included in systematic reviews. We assessed the publication characteristics and quality of reporting of observational studies generated by the Structured Operational Research and Training Initiative (SORT IT). Methods: A cross-sectional analysis of original publications from SORT IT courses. SORT IT is a global partnership-based initiative aimed at building sustainable capacity for conducting operational research according to country priorities and using the generated evidence for informed decision-making to improve public health. Reporting quality was independently assessed using an adapted version of ‘Strengthening the Reporting of Observational Studies in Epidemiology’ (STROBE) checklist. Results: In 392 publications, involving 72 countries, 50 journals, 28 publishers and 24 disease domains, low- and middle-income countries (LMICs) first authorship was seen in 370 (94%) and LMIC last authorship in 214 (55%). Publications involved LMIC-LMIC collaboration in 90% and high-income-country-LMIC collaboration in 87%. The majority (89%) of publications were in immediate open access journals. A total of 346 (88.3%) publications achieved a STROBE reporting quality score of >85% (excellent), 41 (10.4%) achieved a score of 76–85% (good) and 5 (1.3%) a score of 65–75% (fair). Conclusion: The majority of publications from SORT IT adhere to STROBE guidelines, while also ensuring LMIC equity and collaborative partnerships. SORT IT is, thus, playing an important role in ensuring high-quality reporting of evidence for informed decision-making in public health.


2019 ◽  
Vol 9 (1) ◽  
pp. S1-S2
Author(s):  
P. Aia ◽  
S. S. Majumdar ◽  
W. Pomat ◽  
N. Tefuarani ◽  
S. M. Graham ◽  
...  

2018 ◽  
Vol 11 (1) ◽  
pp. 1469215 ◽  
Author(s):  
Tom Decroo ◽  
Rafael Van den Bergh ◽  
Ajay M. V. Kumar ◽  
Rony Zachariah ◽  
Erin Schillberg ◽  
...  

2020 ◽  
Vol 86 (1) ◽  
pp. 142
Author(s):  
Zahi Abdul-Sater ◽  
Elsa Kobeissi ◽  
Marilyne Menassa ◽  
Talar Telvizian ◽  
Deborah Mukherji

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