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1.
J Grad Med Educ ; 15(5): 597-601, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37781434

ABSTRACT

Background Specialty-specific individualized learning plans (ILPs) have been promoted to improve the undergraduate to graduate medical education transition, yet few pilots have been described. Objective To create and report on the feasibility and acceptability of a pilot internal medicine (IM) ILP template. Methods The ILP was created by a group of diverse IM expert stakeholders and contained questions to stimulate self-reflection and collect self-reported readiness data from incoming interns. US IM residency programs were invited to pilot the ILP with interns in spring 2022. Data was used at the programs' discretion. The pilot was evaluated by a post-pilot survey of programs to elicit perceptions of the impact and value of the ILP and analyze anonymous ILP data from 3 institutions. Results Fifty-two IM residency programs agreed to participate with a survey response rate of 87% (45 of 52). Of responding programs, 89% (40 of 45) collected ILPs, thus we report on data from these 40 programs. A total of 995 interns enrolled with 782 completing ILPs (79%). One hundred eleven ILPs were analyzed (14%). Most programs found the ILP valuable to understand incoming interns' competencies (26 of 40, 65%) and areas for improvement (24 of 40, 60%) and thought it should continue (29 of 40, 73%). Programs estimated the ILP took interns 29.2±14.9 minutes and 21.6±10.3 minutes for faculty mentors to complete. The most common barrier was faculty mentor participation. Conclusions An ILP based on interns' self-reported data was feasible and valuable to IM residency programs in understanding interns' competencies and areas for improvement.


Subject(s)
Internship and Residency , Humans , Clinical Competence , Education, Medical, Graduate , Curriculum , Educational Measurement/methods
5.
Nature ; 572(7768): 230-234, 2019 08.
Article in English | MEDLINE | ID: mdl-31391559

ABSTRACT

Groundwater in sub-Saharan Africa supports livelihoods and poverty alleviation1,2, maintains vital ecosystems, and strongly influences terrestrial water and energy budgets3. Yet the hydrological processes that govern groundwater recharge and sustainability-and their sensitivity to climatic variability-are poorly constrained4,5. Given the absence of firm observational constraints, it remains to be seen whether model-based projections of decreased water resources in dry parts of the region4 are justified. Here we show, through analysis of multidecadal groundwater hydrographs across sub-Saharan Africa, that levels of aridity dictate the predominant recharge processes, whereas local hydrogeology influences the type and sensitivity of precipitation-recharge relationships. Recharge in some humid locations varies by as little as five per cent (by coefficient of variation) across a wide range of annual precipitation values. Other regions, by contrast, show roughly linear precipitation-recharge relationships, with precipitation thresholds (of roughly ten millimetres or less per day) governing the initiation of recharge. These thresholds tend to rise as aridity increases, and recharge in drylands is more episodic and increasingly dominated by focused recharge through losses from ephemeral overland flows. Extreme annual recharge is commonly associated with intense rainfall and flooding events, themselves often driven by large-scale climate controls. Intense precipitation, even during years of lower overall precipitation, produces some of the largest years of recharge in some dry subtropical locations. Our results therefore challenge the 'high certainty' consensus regarding decreasing water resources4 in such regions of sub-Saharan Africa. The potential resilience of groundwater to climate variability in many areas that is revealed by these precipitation-recharge relationships is essential for informing reliable predictions of climate-change impacts and adaptation strategies.


Subject(s)
Groundwater/analysis , Rain , Africa South of the Sahara , Desert Climate , Droughts/statistics & numerical data
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