SettingResearch capacity is weakest in low and middle-income countries (LMICs) where operational research is highly relevant and needed. Structured Operational Research and Training Initiative (SORT IT) courses have been developed to train participants to conduct and publish operational research and influence policy and practice. Twenty courses were completed in Asia, Africa, Europe and the South Pacific between 2009 and 2014.ObjectivesIn the 20 completed SORT IT courses, to assess where the research was conducted, who was trained, who became facilitators in subsequent courses and course outcomes.DesignA cohort study of completed SORT IT coursesResultsThere were 236 participants (41% female) including 64 nationalities who conducted research in 59 countries, mostly from Asia and Africa (mean course duration = 9.7 months). Most participants (68%) were from government health programs and non-governmental agencies. A total of 213(90%) participants completed all milestones successfully with 41(19%) becoming subsequent course facilitators, 88% of whom were from LMICs. Of 228 manuscripts submitted to scientific journals, 197(86%) were either published or in press; in 86%, the principal investigator (first author) was a LMIC national. Papers were published in 23 scientific journals (impact factor 0.5–4.4) and covered 21 disease categories (median publication time = 5.7 months). Published papers (186) had 94,794 cumulative article views/downloads. Article views/downloads for immediate open access articles were double those from closed access journals.ConclusionThe SORT IT model has been effective in training personnel to produce relevant operational research in LMICs. It merits continued commitment and support for further scale-up and development.

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.

Introduction: Qualitative studies are often inadequately reported, making it difficult to judge their appropriateness for decision making in public health. We assessed the publication characteristics and quality of reporting of qualitative and mixed-method studies from the Structured Operational Research and Training Initiative (SORT IT), a global partnership for operational research capacity building. Methods: A cross-sectional analysis of publications to assess the qualitative component using an adapted version of the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist. Results: In 67 publications involving 18 countries, 32 journals and 13 public health themes, 55 were mixed-methods studies and 12 were qualitative studies. First authorship from low-and-middle-income (LMIC) countries was present in 64 (96%), LMIC last authorship in 55 (82%), and female first authorship in 30 (45%). The mean LMIC institutions represented per publication was five (range 1–11). Sixty-three (94%) publications were open access. Reporting quality was graded as ‘good’ to ‘excellent’ in 60 (89%) publications, ‘fair’ in five (8%) and ‘poor’ in two (3%). Conclusion: Most SORT IT publications adhered to COREQ standards, while supporting gender equity in authorship and the promotion of LMIC research leadership. SORT IT plays an important role in ensuring quality of evidence for decision making to improve public health.