Rivera-Lozada Oriana, Rivera-Lozada Isabel Cristina, Bonilla-Asalde Cesar Antonio
South American Center for Education and Research in Public Health, Universidad Norbert Wiener, Lima, UNIVERSIDAD NORBERT WIENER, LIMA, Lima 32, Peru.
Universidad del Cauca, Popayán, Colombia, Universidad del Cauca, Popayán, Colombia, Popayan, 190002, Colombia.
F1000Res. 2022 Oct 26;11:1219. doi: 10.12688/f1000research.126143.1. eCollection 2022.
To estimate the association between the academic, personal, and work characteristics and scientific production of professors at a private university of Lima, Peru, in 2021. We undertook an observational, analytical, and cross-sectional study. The sample included 322 professors through simple random sampling. Two questionnaires were administered. The first gathered personal, academic, and work characteristics; while the second evaluated scientific production. The chi-squared test was used, with a significance level of p<0,05, to evaluate the association between the different characteristics and scientific production. A multiple logistic regression was analyzed through the Stepwise method to evaluate the relationship between the variables of exposure and scientific production. We calculated prevalence ratios (PRs) with their respective 95% confidence intervals (95% CI). We analyzed 322 professors, 59,6% were male. Scientific production was associated with being registered in Renacyt (PR = 5,52; 95% CI: 2,14 to 4,23; p = <0.001), having a doctoral degree (PR = 2,45; 95% CI: 1,60 to 3,85; p = <0.001), having been a thesis advisor (PR = 3,83; 95% CI: 1,45 to 5,66; p = <0.001), having facilities to conduct research at the workplace (PR = 1,58; 95% CI: 1,12 to 2,47; p = 0.006), and having received training by the university (PR = 1,99; 95% CI: 1,55 to 2,56; p =0.001). Scientific production was associated with being registered in Renacyt, having a doctoral degree, having been a thesis advisor, having facilities to conduct research at the workplace, and having being trained in research by the university. Hence, evaluation systems and the monitoring of university quality standards should be strengthened. In addition, it is necessary to undertake wider scope studies in order to enhance the strategies that promote professors' research.
为评估2021年秘鲁利马一所私立大学教授的学术、个人及工作特征与科研产出之间的关联。我们开展了一项观察性、分析性横断面研究。通过简单随机抽样，样本纳入了322名教授。发放了两份问卷。第一份收集个人、学术及工作特征；第二份评估科研产出。采用卡方检验，显著性水平为p<0.05，以评估不同特征与科研产出之间的关联。通过逐步法分析多元逻辑回归，以评估暴露变量与科研产出之间的关系。我们计算了患病率比（PRs）及其各自的95%置信区间（95%CI）。我们分析了322名教授，其中59.6%为男性。科研产出与在Renacyt注册（PR = 5.52；95%CI：2.14至4.23；p = <0.001）、拥有博士学位（PR = 2.45；95%CI：1.60至3.85；p = <0.001）、担任过论文导师（PR = 3.83；95%CI：1.45至5.66；p = <0.001）、在工作场所拥有开展研究的设施（PR = 1.58；95%CI：1.12至2.47；p = 0.006）以及接受过大学培训（PR = 1.99；95%CI：1.55至2.56；p = 0.001）相关。科研产出与在Renacyt注册、拥有博士学位、担任过论文导师、在工作场所拥有开展研究的设施以及接受过大学的研究培训相关。因此，应加强评估体系及对大学质量标准的监测。此外，有必要开展更广泛的研究，以完善促进教授科研的策略。
