Barriers to conducting independent quantitative research in low-income countries: A cross-sectional study of public health graduate students in Liberia

• Published in: PloS one 2023-02, Vol.18 (2), p.e0280917
• Main Authors: Kenneh, Hajah, Fayiah, Tamba, Dahn, Bernice, Skrip, Laura A
• Format: Article
• Language: English
• Subjects: Author productivity; College campuses; Computer and Information Sciences; Cross-Sectional Studies; Data collection; Ebola virus; Economic aspects; Engineering and Technology; Epidemiology; Graduate students; Humans; Income; Liberia; Management; Medicine and Health Sciences; People and Places; Personal computers; Pharmaceuticals; Public Health; Quantitative analysis; Quantitative research; R&D; Regression analysis; Research & development; Research and Analysis Methods; Research methodology; Severe acute respiratory syndrome coronavirus 2; Statistical analysis; Students
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0280917

During recent disease outbreaks, quantitative research has been used to investigate intervention scenarios while accounting for local epidemiological, social, and clinical context. Despite the value of such work, few documented research efforts have been observed to originate from low-income countries. This study aimed to assess barriers that may be limiting the awareness and conduct of quantitative research among Liberian public health graduate students. A semi-structured questionnaire was administered September-November 2021 to Master's in Public Health (MPH) students in Liberia. Potential barriers around technology access, understanding of quantitative science, and availability of mentorship were interrogated. Associations between barriers and self-reported likelihood of conducting quantitative research within six months of the investigation period were evaluated using ordinal logistic regression. Among 120 participating MPH students, 86% reported owning a personal computer, but 18.4% and 39.4% had machines with malfunctioning hardware and/or with battery power lasting ≤2 hours, respectively. On average, students reported having poor internet network 3.4 days weekly. 47% reported never using any computer software for analysis, and 46% reported no specific knowledge on statistical analysis. Students indicated spending a median 30 minutes per week reading scientific articles. Moreover, 50% had no access to quantitative research mentors. Despite barriers, 59% indicated they were very likely to undertake quantitative research in the next 6 months; only 7% indicated they were not at all likely. Computer ownership was found to be statistically significantly associated with higher likelihood of conducting quantitative research in the multivariable analysis (aOR: 4.90,95% CI: 1.54-16.3). The high likelihood of conducting quantitative research among MPH students contrasts with limitations around computing capacity, awareness of research tools/methods, and access to mentorship. To promote rigorous analytical research in Liberia, there is a need for systematic measures to enhance capacity for diverse quantitative methods through efforts sensitive to the local research environment.