ABSTRACT
BACKGROUND: The Medical Student Technician (MST) role is a paid position established in Northern Ireland in 2020. The Experience-Based Learning (ExBL) model is a contemporary medical education pedagogy advocating supported participation to develop capabilities important for doctors-to-be. In this study, we used the ExBL model to explore the experiences of MSTs and how the role contributed to students' professional development and preparedness for practice. METHODS: A convenience sampling strategy was used to recruit a total of 17 MSTs in three focus groups. Semi-structured interviews were transcribed verbatim and analysed using the ExBL model as a framework. Transcripts were independently analysed and coded by two investigators and discrepancies resolved with the remaining investigators. RESULTS: The MST experiences reflected the various components of the ExBL model. Students valued earning a salary; however, what students earned transcended the financial reward alone. This professional role enabled students to meaningfully contribute to patient care and have authentic interactions with patients and staff. This fostered a sense of feeling valued and increased self-efficacy amongst MSTs, helping them acquire various practical, intellectual and affective capabilities and subsequently demonstrate an increased confidence in their identities as future doctors. CONCLUSION: Paid clinical roles for medical students could present useful adjuncts to traditional clinical placements, benefiting both students and potentially healthcare systems. The practice-based learning experiences described appear to be underpinned by a novel social context where students can add value, be and feel valued and gain valuable capabilities that better prepare them for starting work as a doctor.
Subject(s)
Education, Medical , Students, Medical , Humans , Students, Medical/psychology , Problem-Based Learning , Salaries and Fringe Benefits , Delivery of Health CareABSTRACT
Background: Pre-eclampsia is a serious consideration for women with type 1 diabetes mellitus (T1DM) planning pregnancy. Risk stratification strategies, such as biomarkers measured in the first trimester of pregnancy, could help identify high-risk women. The literature on T1DM-specific pre-eclampsia biomarkers is expanding. We aimed to provide a narrative review of recently published evidence to identify the most promising biomarker candidates that could be targeted for clinical implementation in existing PE models. Methods: A search using MeSH terms was carried out of Medline, EMBASE, Maternity and Infant Care, Web of Science, and Scopus for relevant papers published since 2015 inclusive and in English. The time limit was applied from the publication of the preceding systematic review in this field. Included studies had pre-eclampsia as a primary outcome, measured one or more serum, plasma or urine biomarkers at any time during pregnancy, and had a distinct group of women with T1DM who developed pre-eclampsia. Studies with pre-eclampsia as a composite outcome were not considered. No restrictions on study types were applied. A narrative synthesis approach was adopted for analysis. Results: A total of 510 records were screened yielding 18 eligible studies relating to 32 different biomarkers. Higher first-trimester levels of HbA1c and urinary albumin were associated with an increased risk of pre-eclampsia development in women with T1DM. Urinary neutrophil gelatinase-associated lipocalin and adipokines were novel biomarkers showing moderate predictive ability before 15 gestational weeks. Two T1DM-specific pre-eclampsia prediction models were proposed, measuring adipokines or urinary neutrophil gelatinase-associated lipocalin together with easily attainable maternal clinical characteristics. Contradicting previous literature, pre-eclampsia risk in women with T1DM was correlated with vitamin D levels and atherogenic lipid profile in the context of haptoglobin phenotype 2-2. Pregnancy-associated plasma protein-A and soluble endoglin did not predict pre-eclampsia in women with T1DM, and soluble Fms-like tyrosine kinase 1 only predicted pre-eclampsia from the third trimester. Conclusion: Maternally derived biomarkers reflecting glycemic control, insulin resistance and renal dysfunction performed better as PE predictors among women with T1DM than those derived from the placenta. These biomarkers could be trialed in current PE prediction algorithms to tailor them for women with T1DM.
