The latest medical research on Cardiothoracic Surgery

The lack of consensus on equity measurement and its incorporation into quality-assessment programs at the hospital and system levels may be a barrier to addressing disparities in surgical care. This study aimed to identify population-level and within-hospital differences in the quality of surgical care provision.

The analysis included 657 National Surgical Quality Improvement Program participating hospitals with over 4 million patients (2014-2018). Multi-level random slope, random intercept modeling was used to examine for population-level and in-hospital disparities. Disparities in surgical care by Area Deprivation Index (ADI), race, and ethnicity were analyzed for five measures: all-case inpatient mortality, all-case urgent readmission, all-case postoperative surgical site infection, colectomy mortality, and spine surgery complications.

Population-level disparities were identified across all measures by ADI, two measures for Black race (all-case readmissions and spine surgery complications), and none for Hispanic ethnicity. Disparities remained significant in the adjusted models. Prior to risk-adjustment, in all measures examined, within-hospital disparities were detected in: 25.8-99.8% of hospitals for ADI, 0-6.1% of hospitals for Black race, and 0-0.8% of hospitals for Hispanic ethnicity. Following risk-adjustment, in all measures examined, fewer than 1.1% of hospitals demonstrated disparities by ADI, race, or ethnicity.

Following risk adjustment, very few hospitals demonstrated significant disparities in care. Disparities were more frequently detected by ADI than by race and ethnicity. The lack of substantial in-hospital disparities may be due to the use of postoperative metrics, small sample sizes, the risk adjustment methodology, and healthcare segregation. Further work should examine surgical access and healthcare segregation.

Rib fractures present a heavy pain and functional burden in trauma. Our primary aim was to determine return to work in patients with acute rib fractures requiring surgical stabilisation of rib fractures. Our secondary outcomes were pain and quality of life. We also document the first application of the Work Productivity and Activity Impairment Instrument, a validated injury-specific patient-reported outcome measure, for chest wall injury in the literature.

A retrospective review was conducted of patients with rib fractures requiring surgical fixation in a single centre between 2008-2020. After applying inclusion and exclusion criteria to ensure relevance, all eligible patients were asked to complete patient reported outcome measure questionnaires.

Of 1841 trauma patients with rib fractures, 66 underwent surgical fixation. Thirty-nine patients were eligible and thirty-one completed the questionnaires. Pre-injury and post-injury answers were compared. The number of patients in employment decreased post-operatively from 22 to 16 (p = 0.006). For those that returned to work there was no difference in hours missed but reduced weekly hours and productivity scores. There were significantly more patients with pain and on pain relief. There was a lower quality of life score post-operatively.

Approximately 1-in-5 patients who require surgical fixation for rib fractures will not return to work. This is the first chest wall trauma study that uses the Work Productivity and Activity Impairment Instrument, a validated tool for work productivity outcomes. We recommend this instrument as a reliable tool for investigating return to work outcomes in trauma patients.

Misuse of prescription opioids is a well-established contributor to the United States opioid epidemic. The primary objective of this study was to identify which level of care delivery (i.e. patient, prescriber, or hospital) produced the most unwarranted variation in opioid prescribing after common surgical procedures.

Electronic health record (EHR) data from a large multihospital healthcare system was used in conjunction with random-effect models to examine variation in opioid prescribing practices following similar inpatient and outpatient surgical procedures between October 2019 and September 2021. Unwarranted variation was conceptualized as variation resulting from prescriber behavior unsupported by evidence. Covariates identified as drivers of warranted variation included characteristics known to influence pain levels or patient safety. All other model variables, including prescriber specialty and patient race, ethnicity, and insurance status were characterized as potential drivers of unwarranted variation.

Among 25,188 procedures with an opioid prescription at hospital discharge, 53.5% exceeded guideline recommendations, corresponding to 13,228 patients receiving the equivalent of >140,000 excess 5mg oxycodone tablets following surgical procedures. Prescribing variation was primarily driven by prescriber-level factors, with approximately half of the total variation in morphine milligram equivalents (MMEs) prescribed observed at the prescriber level and not explained by any measured variables. Unwarranted covariates associated with higher prescribed opioid quantity included non-Hispanic black race, Medicare insurance, smoking history, later hospital discharge times, and prescription by a surgeon rather than a hospitalist or primary care provider.

Given the large proportion of unexplained variation observed at the provider level, targeting prescribers through education and training may be an effective strategy for reducing postoperative opioid prescribing.