Habermann, Elizabeth B.

Abstract Purpose Medical school tuition has increased at alarming rates ahead of inflation over the past 20 years. The authors investigated whether state-funded medical schools have had an increased number of out-of-state matriculants, which may create a diaspora of displaced in-state medical students matriculating to out-of-state programs and incurring substantial debt. Method Publicly available data from the Association of American Medical Colleges (AAMC) were accessed from 2004 through 2019 for applicants and matriculants at U.S. state-funded schools. Schools listed as public that reported tuition charges in the AAMC Tuition and Student Fees reports were included in this study. The numbers and trends of medical school applications and trends in tuition costs and average indebtedness were summarized for in-state and out-of-state matriculants. Values were analyzed by group as median and interquartile range (IQR). Group differences were assessed via t tests. P values less than .05 were considered statistically significant. Results From 2004 through 2019, the annual number of out-of-state matriculants in state-funded schools increased 7% (16%–23% [7,195–11,144]). Among 74 schools with data in 2004, the median percentage of out-of-state applications increased from 60% (IQR, 31%–74%) to 80% (IQR, 57%–85%; P < .001), and the median percentage of out-of-state matriculants increased from 13% (IQR, 5%–23%) to 17% (IQR, 11%–33%; P < .001). In 2004, the mean (standard error) debt upon completion of medical school (inflation adjusted to 2018 dollars) was $144,100 ($10,950); by 2016, the mean debt had increased to $251,600 ($32,040), a 75% increase over 12 years. Conclusions Since 2004, substantial increases have occurred in out-of-state matriculants at state-funded medical schools. This may displace residents from attending their in-state schools, causing them to attend out-of-state or private medical schools, where tuition is typically much higher.

Individual or pooled commercial claims data sources such as the IBM MarketScan and PearlDiver provide information from health-care encounters by individuals enrolled in participating health insurance plans. These data sources contain deidentified data on demographic characteristics, enrollment start and end dates, inpatient and outpatient procedures and medical diagnoses with associated service dates and settings, and dispensed medications. Although there are concerns that long-term follow-up is limited because of interruptions in the continuity of coverage and reliance on billing data may overrecord or underrecord diagnoses and confounders, these data sources are nevertheless valuable for orthopaedic studies focusing on short-term complications, costs, and utilization.

Abstract: Direct data abstraction from a patient’s chart by experienced medical professional data abstractors has been the historical gold standard for quality and accuracy in clinical medical research. The limiting challenge to population-wide studies for quality and public health purposes is the high personnel costs associated with very large-scale efforts of this type. Two historically related programs that are at least partially able to successfully circumvent this problem and provide high-quality data relating to surgical procedures and the early postoperative period are reviewed in this article. Both utilize similar data abstraction efforts by specially trained and qualified medical abstractors of a sample subset of the total procedures performed at participating hospitals. The Veterans Affairs Surgical Quality Improvement Program (VASQIP), detailed by Nicholas J. Giori, MD, PhD, in the first section of this article, makes use of trained abstractors and has undergone recent additions and updates, including the development of an associated total hip registry for the VA system. The data elements and data integrity provided by both of these programs establish important benchmarks for other “big data” efforts, which often attempt to use alternative less-expensive methods of data collection in order to achieve more widespread or even nationwide data collection. In the second section, Elizabeth B. Habermann, PhD, MPH, provides a detailed review of the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP), the data elements collected, and examples of the range of quality improvement and outcomes studies in orthopaedic surgery that it has made possible, along with information on data that have not been collected and the resulting limitations. The ACS NSQIP was actually modeled after the very similar earlier effort started by the United States Department of Veterans Affairs (VA).

Abstract Background Opioids are frequently prescribed to alleviate pain in older adults, yet the relationships between prescription opioids and long‐term cognitive function are unclear. Methods In this analysis of the Mayo Clinic Study of Aging, a longitudinal population‐based cohort study of older adults with formal neuropsychological testing and cognitive evaluations performed every 15 months, the associations between prescription opioids, global and domain‐specific cognitive function, and mild cognitive impairment were evaluated through time‐dependent linear mixed effects and Cox proportional hazards models. Results Four thousand two hundred eighteen participants (51% male) were included with enrollment between 11/1/2004 and 4/1/2019 and median age of 76 (interquartile range 72, 82) years. Two thousand nine hundred seventy‐seven subjects (71%) received at least 1 opioid prescription during a median follow‐up of 7.5 (5.0, 10.7) years. Overall, there was an estimated 0.096 reduction in the global cognitive Z ‐score per year, including decreases of 0.050 in memory, 0.080 in language, 0.044 in visual–spatial cognition, and 0.112 in attention. In multivariable analyses, each receipt of an opioid prescription resulted in an additional −0.007 (95% CI −0.009, −0.005) change in global cognitive Z ‐score ( p < 0.001), with significant effects seen in the domains of memory (−0.005, 95% CI −0.007, −0.003; p < 0.001), language (−0.002, 95% CI −0.003, 0.000; p = 0.024) and attention (−0.004, 95% CI −0.006, −0.002; p < 0.001) but not visual–spatial function (0.000, 95% CI −0.001, 0.001; p = 0.897). Opioid prescriptions were associated with incident mild cognitive impairment (MCI) in adjusted analysis (hazard ratio 1.21, 95% CI 1.04, 1.42; p = 0.014). Conclusion Prescription opioids are associated with small but statistically significant declines in long‐term cognitive function in older adults, which may represent effects of opioids or other related factors.

Objective: To compare patient-reported outcomes before and after implementation of evidence-based, procedure-specific opioid prescribing guidelines. Background: The opioid epidemic remains a significant public health issue. Many institutions have responded by reducing opioid prescribing after surgery. However, the impact of this on patient-reported outcomes remains poorly understood. Methods: Opioid-naïve adults undergoing 12 elective general surgery procedures at a single institution prospectively completed telephone surveys at median 26 days from discharge. Patients were compared before (March 2017–January 2018) and after (May 2019–November 2019) implementation of evidence-based, procedure-specific opioid prescribing guidelines. Results: A total of 603 preguideline and 138 postguideline patients met inclusion criteria and completed surveys. Overall, 60.5% of preguideline and 92.5% of postguideline prescriptions fell within recommendations (P<0.001), while refill rates were similar (4.5% vs 5.8%, P=0.50). A statistically significant drop in median morphine milligram equivalent prescribed was observed for 9 of 12 procedures (75%). No opioids were prescribed for 16.7% of patients in both cohorts (P=0.98). While 93.3% of preguideline and 87.7% of postguideline patients were very/somewhat satisfied with their pain control, the proportion of patients who were very/somewhat dissatisfied increased from 4.2% to 9.4% (P=0.039). Conclusions: Prescribing guidelines successfully reduced opioid prescribing without increased refill rates. Despite decreased prescribing overall, there was a continued reluctance to prescribe no opioids after surgery. Although most patients experienced good pain control, there remains a subset of patients whose pain is not optimally managed in the era of reduced opioid prescribing.

AbstractChronic pain is highly prevalent in older adults and is associated with poor functional outcomes. Furthermore, opioid analgesics are commonly utilized for the treatment of pain in older adults despite well-described adverse effects. Importantly, both chronic pain and opioid analgesics have been linked with impairments in cognitive function, though data are limited. In this manuscript we summarize the evidence and critical knowledge gaps regarding the relationships between pain, opioid analgesics, and cognition in older adults. Furthermore, we provide a conceptual framework to guide future research in the development, implementation, and evaluation of strategies to optimize analgesic outcomes in older adults while minimizing deleterious effects on cognition.