A systematic review on academic research productivity of postgraduate students in low- and middle-income countries
Bibliographic record
Abstract
BACKGROUND: While several individual studies addressing research productivity of post-graduate students are available, a synthesis of effective strategies to increase productivity and the determinants of productivity in low-income countries has not been undertaken. Further, whether or not this research from post-graduate students' projects was applied in evidence-informed decision-making was unknown. Therefore, we conducted a systematic review of literature to identify and assess the effectiveness of approaches that increase productivity (proportion published) or the application (proportion cited) of post-graduate students' research, as well as to assess the determinants of post-graduate students' research productivity and use. METHODS: We conducted a systematic review as per our a priori published protocol, also registered in PROSPERO (CRD42016042819). We searched for published articles in PubMed/MEDLINE and the ERIC databases through to July 2017. We performed duplicate assessments for included primary studies and resolved discrepancies by consensus. Thereafter, we completed a structured narrative synthesis and, for a subset of studies, we performed a meta-analysis of the findings using both fixed and random effects approaches. We aligned our results to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RESULTS: We found 5080 articles in the PubMed (n = 3848) and ERIC (n = 1232) databases. After excluding duplicates (n = 33), we screened 5047 articles, of which 5012 were excluded. We then retrieved 44 full texts and synthesised 14, of which 4 had a high risk of bias. We did not find any studies assessing effectiveness of strategies for increasing publication nor citations of post-graduate research projects. We found an average publication proportion of 7% (95% CI 7-8%, Higgins I-squared 0.0% and Cochran's Q p < 0.01) and 23% (95% CI 17-29%, Higgins I-squared of 98.4% and Cochran's Q, p < 0.01) using fixed effects and random effects models, respectively. Two studies reported on the citation of post-graduate students' studies, at 17% (95% CI 15-19%) in Uganda and a median citation of 1 study in Turkey (IQR 0.6-2.3). Only one included study reported on the determinants of productivity or use of post-graduate students' research, suggesting that younger students were more likely to publish and cohort studies were more likely to be published. CONCLUSIONS: We report on the low productivity of post-graduate students' research in low- and middle-income countries, including the citation of post-graduate students' research in evidence-informed health policy in low- and middle-income countries. Secondly, we did not find a single study that assessed strategies to increase productivity and use of post-graduate students' research in evidence-informed health policy, a subject for future research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.156 | 0.271 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".