Building a Medical Education Outcomes Center: Development Study

An overview and policy implications of national nurse identifier systems: A call for unity and integration

There is a clear and growing need to be able record and track the contributions of individual registered nurses (RNs) to patient care and patient care outcomes in the US and also understand the state of the nursing workforce. The National Academies of Sciences, Engineering, and Medicine report, The Future of Nursing 2020-2030: Charting a Path to Achieve Health Equity (2021), identified the need to track nurses' collective and individual contributions to patient care outcomes. This capability depends upon the adoption of a unique nurse identifier and its implementation within electronic health records. Additionally, there is a need to understand the nature and characteristics of the overall nursing workforce including supply and demand, turnover, attrition, credentialing, and geographic areas of practice. This need for data to support workforce studies and planning is dependent upon comprehensive databases describing the nursing workforce, with unique nurse identification to support linkage across data sources. There are two existing national nurse identifiers- the National Provider Identifier and the National Council of State Boards of Nursing Identifier. This article provides an overview of these two national nurse identifiers; reviews three databases that are not nurse specific to understand lessons learned in the development of those databases; and discusses the ethical, legal, social, diversity, equity, and inclusion implications of a unique nurse identifier.

Academic and Wellness Outcomes Associated with use of Anki Spaced Repetition Software in Medical School

OBJECTIVES

Medical students are increasingly using a spaced repetition software called Anki to study. There are limited studies evaluating the relationship between Anki and learner outcomes. In this study, we describe the history of Anki use in medical school and assess the potential relationships between use of Anki and medical student academic, extracurricular, and wellness outcomes.

METHODS

We used cross-sectional data from a 50-item online survey and retrospective academic performance data from our institution's outcomes database. Participants were medical students. The survey assessed the frequency and timing of Anki use, student perceived stress, sleep quality, burnout risk, and involvement in extracurricular activities. Academic success was measured by USMLE Step 1 and Step 2 scores.

RESULTS

165 students responded survey. 92 (56%) identified as daily Anki users. Daily Anki use was correlated with increased Step 1 score (P = .039), but not Step 2 scores. There was an association between Anki use and increased sleep quality (P = .01), but no difference for other measurements of wellness or extracurricular involvement.

CONCLUSION

The study demonstrates potential benefits of daily use of Anki but also confirms that a variety of study methods can be used to achieve similar medical school outcomes.

Measuring Graduate Medical Education Outcomes to Honor the Social Contract

The graduate medical education (GME) system is heavily subsidized by the public in return for producing physicians who meet society's needs. Under the terms of this implicit social contract, decisions about how this funding is allocated are deferred to the individual training sites. Institutions receiving public funding face potential conflicts of interest, which have at times prioritized institutional purposes and needs over societal needs, highlighting that there is little public accountability for how such funding is used. The cost and institutional burden of assessing many fundamental GME outcomes, such as specialty, geographic physician distribution, training-imprinted cost behaviors, and populations served, could be mitigated as data sources and methods for assessing GME outcomes and guiding training improvement already exist. This new capacity to assess system-level outcomes could help institutions and policymakers strategically address the greatest public needs. Measurement of educational outcomes can also be used to guide training improvement at every level of the educational system (i.e., the individual trainee, individual teaching institution, and collective GME system levels). There are good examples of institutions, states, and training consortia that are already assessing and using GME outcomes in these ways. The ultimate outcome could be a GME system that better meets the needs of society and better honors what is now only an implicit social contract.

Integrating socially accountable health professional education and learning health systems to transform community health and health systems

A learning health system aims to create value in health systems using data-driven innovations, quality improvement techniques, and collaborations between health system partners. Although the concept is mobilized through cycles of learning, most instantiations of the learning health system overlook the importance of formalized learning in educational settings. Social accountability in health professional education focuses on measurably improving people's health and health care, specifically through education and training activities. In this commentary, we argue that the idea of social accountability clearly articulates a rationale and a broad range of aspirations, whereas the learning health system offers an approach to achieve these goals. With a similar aim to a learning health system, social accountability promotes partnerships between health professional education, the health system, and communities in a way that allows for co-designed and contextualized interventions. On the other hand, learning health systems prioritize data, research, and analytic capacities to facilitate quality improvement. An integrative framework could enhance learning cycles by collectively designing interventions and innovations with people and communities from health, research, and education systems. As well as aspiring to improve population health and health equity, such a framework will consider broader impacts, including the degree of participation amongst a range of partners and the level of responsiveness to partners' priorities.