Benning, Tyler J.

Abstract Purpose Medical school applicants engage in informal preference signaling by submitting letters of intent (which include a commitment to accept an admission offer) and letters of interest (which include no such commitment). Commitments are unenforceable and are based on an honor system. Applicants submit letters to medical schools before receiving financial aid offers, potentially disadvantaging low socioeconomic status (SES) applicants. This study describes postinterview communication patterns and analyzes associations among applicant demographics, letter submission rates, and admissions outcomes. It tests the hypothesis that low SES is negatively associated with letter of intent submission. Method The authors collected postinterview communications from all interviewees at the Mayo Clinic Alix School of Medicine during 3 admissions cycles (2021-2023). Authors developed and validated codebook definitions for the 2 letter types. SES was defined using the Association of American Medical Colleges education-occupation indicator. Letter submission rates were compared using mixed-effects logistic regression. Results Of 1,313 applicants, 1,109 submitted 1 letter or more. The sample included 257 (19.6%) low-SES and 1,056 (80.4%) non–low-SES applicants. Coders showed excellent interrater reliability (Gwet AC1 range, 0.89-0.995). Low-SES applicants submitted letters of intent with similar frequency to higher-SES applicants (33.9% [87/257] vs 33.5% [354/1,056]; odds ratio, 1.02; 95% CI, 0.76-1.37; P = .88) and submitted letters of interest at similar frequency (55.6% [143/257] vs 59.5% [628/1,056]; odds ratio, 0.86; 95% CI, 0.65-1.13; P = .27). Among 116 applicants who wrote letters of intent and were offered admission, 20 (17.2%) declined the admission offer. Conclusions There was no difference in letter of intent submission based on SES, and letter of intent submission was positively associated with matriculation. Among letter of intent writers who were offered admission, 1 in 6 declined. Undergraduate medical education may wish to consider a formalized preference signaling system to promote an honest and transparent application process.

Objective This survey study assessed trainee attitudes and perceptions of the longitudinal public speaking curriculum at Mayo Clinic Pediatric and Adolescent Residency Program. Methods This 3-part survey of Mayo Clinic pediatric residents was conducted from 2013 to 2017 and utilized yes/no questions, Likert scales, and open-ended questions. Code book content analysis was used to analyze open-ended questions. Results A total of 121 participants (96.8%, n = 121/125) completed the survey. Most respondents (93.3%, n = 111/119) either agreed or strongly agreed that the public speaking requirement enabled them to be more effective in delivering information to large groups. Most respondents (89.2%, n = 107/120) agreed or strongly agreed that they incorporated feedback from previous public speaking feedback sessions into subsequent presentations. The 2 activities that respondents found most useful for preparing later presentations were setting goals for future presentations in a feedback session and discussing performance in a feedback session. Conclusions There was a perceived effectiveness of a longitudinal public speaking curriculum among pediatric residents at our program. Multidimensional feedback seems to be a critical aspect of a public speaking curriculum in graduate medical education.

OBJECTIVE To characterize trends in clinical complexity, treatment burden, health care use, and diabetes-related outcomes among adults with diabetes. RESEARCH DESIGN AND METHODS We used a nationwide claims database to identify enrollees in commercial and Medicare Advantage plans who met claims criteria for diabetes between 1 January 2006 and 31 March 2019 and to quantify annual trends in clinical complexity (e.g., active health conditions), treatment burden (e.g., medications), health care use (e.g., ambulatory, emergency department [ED], and hospital visits), and diabetes-related outcomes (e.g., hemoglobin A1c [HbA1c] levels) between 2006 and 2018. RESULTS Among 1,470,799 commercially insured patients, the proportion with ≥10 active health conditions increased from 33.3% (95% CI 33.1–33.4) in 2006 to 38.9% (38.8–39.1) in 2018 (P = 0.001) and the proportion taking three or more glucose-lowering medications increased from 11.6% (11.5–11.7) to 23.1% (22.9–23.2) (P = 0.007). The proportion with HbA1c ≥8.0% (≥64 mmol/mol) increased from 28.0% (27.7–28.3) in 2006 to 30.5% (30.2–30.7) in 2015, decreasing to 27.8% (27.5–28.0) in 2018 (overall trend P = 0.04). Number of ambulatory visits per patient per year decreased from 6.86 (6.84–6.88) to 6.19 (6.17–6.21), (P = 0.001) while ED visits increased from 0.26 (0.257–0.263) to 0.29 (0.287–0.293) (P = 0.001). Among 1,311,903 Medicare Advantage enrollees, the proportion with ≥10 active conditions increased from 51.6% (51.2–52.0) to 65.1% (65.0–65.2) (P < 0.001); the proportion taking three or more glucose-lowering medications was stable at 16.6% (16.3–16.9) and 18.1% (18.0–18.2) (P = 0.98), and the proportion with HbA1c ≥8.0% increased from 17.4% (16.7–18.1) to 18.6% (18.4–18.7) (P = 0.008). Ambulatory visits per patient per year remained stable at 8.01 (7.96–8.06) and 8.17 (8.16–8.19) (P = 0.23), but ED visits increased from 0.41 (0.40–0.42) to 0.66 (0.66–0.66) (P < 0.001). CONCLUSIONS Among patients with diabetes, clinical complexity and treatment burden have increased over time. ED utilization has also increased, and patients may be using ED services for low-acuity conditions.

Background/Aims: The Pediatric Research Equity Act and Best Pharmaceuticals for Children Act are intended to promote the conduct of clinical trials that generate pediatric-specific evidence about drug safety and efficacy. This study assesses the quality of evidence generated through Pediatric Research Equity Act–mandated and Best Pharmaceuticals for Children Act–incentivized clinical trials of hematology/oncology drugs and characterizes subsequent changes in pediatric drug utilization rates. Methods: Trial characteristics (blinding, randomization, and comparator group) were determined for clinical trials that supported pediatric label changes. Using data from OptumLabs ® Data Warehouse, a de-identified administrative claims database, we calculated pediatric utilization rates for each drug. We calculated monthly utilization rates from January 2003 (or from the first month in which data were available) to December 2018. Results: We identified 11 hematology/oncology drugs that underwent pediatric label changes under the Pediatric Research Equity Act Pediatric Research Equity Act and/or Best Pharmaceuticals for Children Act, and we identified 15 trials supporting these changes. Of these trials, 36% (5/14) were randomized, 31% (4/13) were blinded, and 36% (5/14) used a comparator group. A median of 49 children (interquartile range 29.5) received the drug under investigation across these trials. Pediatric label changes were not associated with subsequent changes in pediatric drug utilization. Although some drugs saw increased pediatric use after gaining new pediatric indications, this pattern was not consistently observed. In addition, there was no evidence to suggest that drugs were utilized less frequently after they failed to receive pediatric indications. Conclusions: Clinical trials of hematology/oncology drugs conducted under the Pediatric Research Equity Act Pediatric Research Equity Act and Best Pharmaceuticals for Children Act generally have low methodological rigor, and the resulting label changes are not consistently associated with changes in pediatric utilization. Alternative regulatory strategies and study designs may be necessary to maximize the impact of newly generated knowledge on drug utilization.

Abstract Background Although electronic health records (EHRs) are designed to improve patient safety, they have been associated with serious patient harm. An agreed-upon and standard taxonomy for classifying health information technology (HIT) related patient safety events does not exist. Objectives We aimed to develop and evaluate a taxonomy for medication-related patient safety events associated with HIT and validate it using a set of events involving pediatric patients. Methods We performed a literature search to identify existing classifications for HIT-related safety events, which were assessed using real-world pediatric medication-related patient safety events extracted from two sources: patient safety event reporting system (ERS) reports and information technology help desk (HD) tickets. A team of clinical and patient safety experts used iterative tests of change and consensus building to converge on a single taxonomy. The final devised taxonomy was applied to pediatric medication-related events assess its characteristics, including interrater reliability and agreement. Results Literature review identified four existing classifications for HIT-related patient safety events, and one was iteratively adapted to converge on a singular taxonomy. Safety events relating to usability accounted for a greater proportion of ERS reports, compared with HD tickets (37 vs. 20%, p = 0.022). Conversely, events pertaining to incorrect configuration accounted for a greater proportion of HD tickets, compared with ERS reports (63 vs. 8%, p < 0.01). Interrater agreement (%) and reliability (kappa) were 87.8% and 0.688 for ERS reports and 73.6% and 0.556 for HD tickets, respectively. Discussion A standardized taxonomy for medication-related patient safety events related to HIT is presented. The taxonomy was validated using pediatric events. Further evaluation can assess whether the taxonomy is suitable for nonmedication-related events and those occurring in other patient populations. Conclusion Wider application of standardized taxonomies will allow for peer benchmarking and facilitate collaborative interinstitutional patient safety improvement efforts.

This cross-sectional study analyzed a database of Congressional candidate campaign websites to assess the frequency and specificity of pediatric health policy discussions in political campaigns.