Dowdy, Sean C.

Objectives Highly visible hospital quality reporting stakeholders in the USA such as the US News & World Report (USNWR) and the Centers for Medicare & Medicaid Services (CMS) play an important health systems role via their transparent public reporting of hospital outcomes and performance. However, during the pandemic, many such quality measurement stakeholders and pay-for-performance programmes in the USA and Europe have eschewed the traditional risk adjustment paradigm, instead choosing to pre-emptively exclude months or years of pandemic era performance data due largely to hospitals’ perceived COVID-19 burdens. These data exclusions may lead patients to draw misleading conclusions about where to seek care, while also masking genuine improvements or deteriorations in hospital quality that may have occurred during the pandemic. Here, we assessed to what extent hospitals’ COVID-19 burdens (proportion of hospitalised patients with COVID-19) were associated with their non-COVID 30-day mortality rates from March through November 2020 to inform whether inclusion of pandemic-era data may still be appropriate. Design This was a retrospective cohort study using the 100% CMS Inpatient Standard Analytic File and Master Beneficiary Summary File to include all US Medicare inpatient encounters with admission dates from 1 April 2020 through 30 November 2020, excluding COVID-19 encounters. Using linear regression, we modelled the association between hospitals’ COVID-19 proportions and observed/expected (O/E) ratios, testing whether the relationship was non-linear. We calculated alternative hospital O/E ratios after selective pandemic data exclusions mirroring the USNWR data exclusion methodology. Setting and participants We analysed 4 182 226 consecutive Medicare inpatient encounters from across 2601 US hospitals. Results The association between hospital COVID-19 proportion and non-COVID O/E 30-day mortality was statistically significant (p<0.0001), but weakly correlated (r2=0.06). The median (IQR) pairwise relative difference in hospital O/E ratios comparing the alternative analysis with the original analysis was +3.7% (−2.5%, +6.7%), with 1908/2571 (74.2%) of hospitals having relative differences within ±10%. Conclusions For non-COVID patient outcomes such as mortality, evidence-based inclusion of pandemic-era data is methodologically plausible and must be explored rather than exclusion of months or years of relevant patient outcomes data.

US hospital quality rankings and ratings use disparate methodologies and are weakly correlated. This causes confusion for patients and hospital quality staff. At the authors’ institution, a Composite Hospital Quality Index (CHQI) was developed to combine hospital quality ratings. This approach is described and a calculator is shared here for other health systems to explore their performance. Among the US News and World Report Top 50 Hospitals, hospital-specific numeric summary scores were aggregated from the 2021 Centers for Medicare and Medicaid Services (CMS) Hospital Overall Star Rating, the Spring 2021 Leapfrog Safety Grade, and the April 2021 Hospital Consumer Assessment of Healthcare Providers and Systems Star Rating. The CHQI is the hospital-specific sum of the national percentile-rankings across these 3 ratings. In this example, mean (SD) percentiles were as follows: CMS Stars 74 (19), Hospital Consumer Assessment of Healthcare Providers and Systems 63 (19), Leapfrog 65 (24), with mean (SD) CHQI of 202 (49). The CHQI is used at the authors’ institution to identify improvement opportunities and ensure that high-quality care is delivered across the health system.

AbstractBackgroundPatient Safety Indicator (PSI)‐12, a hospital quality measure designed by Agency for Healthcare Research and Quality (AHRQ) to capture potentially preventable adverse events, captures perioperative venous thromboembolism (VTE). It is unclear how COVID‐19 has affected PSI‐12 performance.ObjectiveWe sought to compare the cumulative incidence of PSI‐12 in patients with and without acute COVID‐19 infection.Design, Setting, and ParticipantsThis was a retrospective cohort study including PSI‐12‐eligible events at three Mayo Clinic medical centers (4/1/2020‐10/5/2021).Exposure, Main Outcomes, and MeasuresWe compared the unadjusted rate and adjusted risk ratio (aRR) for PSI‐12 events among patients with and without COVID‐19 infection using Fisher's exact χ2 test and the AHRQ risk‐adjustment software, respectively. We summarized the clinical outcomes of COVID‐19 patients with a PSI‐12 event.ResultsOur cohort included 50,400 consecutive hospitalizations. Rates of PSI‐12 events were significantly higher among patients with acute COVID‐19 infection (8/257 [3.11%; 95% confidence interval {CI}, 1.35%–6.04%]) compared to patients without COVID‐19 (210/50,143 [0.42%; 95% CI, 0.36%–0.48%]) with a PSI‐12 event during the encounter (p < .001). The risk‐adjusted rate of PSI‐12 was significantly higher in patients with acute COVID‐19 infection (1.50% vs. 0.38%; aRR, 3.90; 95% CI, 2.12–7.17; p < .001). All COVID‐19 patients with PSI‐12 events had severe disease and 4 died. The most common procedure was tracheostomy (75%); the mean (SD) days from surgical procedure to VTE were 0.12 (7.32) days.ConclusionPatients with acute COVID‐19 infection are at higher risk for PSI‐12. The present definition of PSI‐12 does not account for COVID‐19. This may impact hospitals' quality performance if COVID‐19 infection is not accounted for by exclusion or risk adjustment.

Unintentionally retained surgical items (RSIs) are a serious complication representing a surgical “Never” event. The authors previously reported the process and significant improvement over a 3-year multiphased quality improvement RSI reduction effort that included sponge-counting technology. Herein, they report the sustainability of that effort over the decade following the formal quality improvement project conclusion. This retrospective analysis includes descriptive and qualitative data collected during RSI event root cause analysis. Between January 2009 and December 2019, 640 889 operations were performed with 24 RSIs reported. The resulting RSI rate of 1 per 26 704 operations represent a 486% performance improvement compared to the preintervention rate of 1 per 5500 operations. The interval, in days, between RSI events increased to 160 from 26 during the preintervention phase. Cotton sponges were the most retained RSI despite the use of sponge-counting technology. A significant and sustained reduction in RSI is possible after designing a sustainable comprehensive multidisciplinary effort.

256 Background: Ovarian cancer is the leading cause of gynecologic cancer mortality in the US. Given the high burden of disease and complexities in the provision of quality care, a multidisciplinary team approach is critical to optimal care delivery. In 2019, the Association of Community Cancer Centers (ACCC) launched a multiphase, stakeholder-driven initiative to improve care for this patient population. Results of a national survey of cancer programs to identify the needs of patients are reported here. Methods: A 20 question survey was developed by an expert steering committee including gynecologic oncologists, pathologists, genetic counselors, a nurse navigator, and cancer center administrators. The instrument was designed to collect data about cancer programs, key ovarian cancer patient needs, and barriers to and opportunities for improving ovarian cancer care. The online survey was open for participation for 4 weeks using the Qualtrics platform and distributed via email to ACCC and Society of Gynecologic Oncology members. Results: We received 26 total responses from Comprehensive Community (26%), NCI-Designed Comprehensive (22%), Academic Comprehensive (22%), and Integrated Network (13%) Cancer Programs. Annual ovarian cancer cases ranged from 22 to 190 (median: 50.5). 85% of programs has a multidisciplinary team for ovarian cancer and 61% were part of a referral network. On average, programs has 1.5 phase II and 2 phase III clinical trials currently available for ovarian cancer (all programs had at least 1 trial available). Palliative care and comprehensive symptom management was integrated into the first appointment (15%), integrated at the time of recurrence (4%), and most frequently, available by consult (81%). We assessed genetic testing practices at each program. Aggregated across programs, 79% of patients received germline multipanel testing, 71% germline BRCA only, 50% somatic multigene, and 51% somatic BRCA only. The frequency of consultations included: genetic counseling (75%), nurse navigation (75%), social work (50%), dietetics (40%), financial counseling (25%). Genetic evaluations were typically ordered by Gynecologic Oncology (88%), genetic counseling (4%), or both (8%). When asked what topic they would choose for a quality improvement project, genetic testing and counseling was the most frequent choice (46%), followed by clinical trials enrollment and availability (23%), multidisciplinary team care (19%), education on best practices (15%), palliative care (15%), and ancillary services (15%). Conclusions: Multidisciplinary care for ovarian cancer was common across a range of cancer programs but integration of palliative care, social work, dietetics, and financial counseling could be improved. Expanding clinical trials and genetic testing and counseling were the most frequently identified opportunities to improve ovarian cancer care.

Summary This international multidisciplinary consensus statement was developed to provide balanced guidance on the safe peri‐operative use of opioids in adults. An international panel of healthcare professionals evaluated the literature relating to postoperative opioid‐related harm, including persistent postoperative opioid use; opioid‐induced ventilatory impairment; non‐medical opioid use; opioid diversion and dependence; and driving under the influence of prescription opioids. Recommended strategies to reduce harm include pre‐operative assessment of the risk of persistent postoperative opioid use; use of an assessment of patient function rather than unidimensional pain scores alone to guide adequacy of analgesia; avoidance of long‐acting (modified‐release and transdermal patches) opioid formulations and combination analgesics; limiting the number of tablets prescribed at discharge; providing deprescribing advice; avoidance of automatic prescription refills; safe disposal of unused medicines; reducing the risk of opioid diversion; and better education of healthcare professionals, patients and carers. This consensus statement provides a framework for better prescribing practices that could help reduce the risk of postoperative opioid‐related harm in adults.