Translating Policy to Practice: An Association Between Medicare Access and Children's Health Insurance Program Reauthorization Act Implementation and Palliative Care Consultations and Perioperative Mortality in Critical Care.

OBJECTIVES: To evaluate the 30-day postoperative mortality and palliative care consultations in patients that underwent surgical procedures in the United States before and after Medicare Access and Children's Health Insurance Program Reauthorization Act (MACRA) implementation. DESIGN: Retrospective, Observational cohort study. SETTING: Secondary data were collected from the U.S. National Inpatient Sample, the largest hospital database in the country. The time span was from 2011 to 2019. PATIENTS: Adult patients that electively underwent 1 of 19 major procedures. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was cumulative postoperative mortality in two study cohorts. The secondary outcome was palliative care use. We identified 4,900,451 patients and categorized them into two study cohorts: PreM: 2011-2014 ( n = 2,103,836) and PostM: 2016-2019 ( n = 2,796,615). Regression discontinuity estimates and multivariate analysis were used. Across all procedures, 149,372 patients (7.1%) and 156,610 patients (5%) died within 30 days of their index procedures in the PreM and PostM cohorts, respectively. There was no statistically significant increase in mortality rates around postoperative day (POD) 30 (POD 26-30 vs 31-35) for both cohorts. More patients had inpatient palliative consultations during POD 31-60 compared with POD 1-30 in PreM (8,533 of 2,081,207 patients [0.4%] vs 1,118 of 22,629 patients [4.9%]) and PostM (18,915 of 2,791,712 patients [0.7%] vs 417 of 4,903 patients [8.5%]). Patients were more likely to receive palliative care consultations during POD 31-60 compared with POD 1-30 in both the PreM (odds ratio [OR] 5.31; 95% CI, 2.22-8.68; p < 0.001) and the PostM (OR 7.84; 95% CI, 4.83-9.10; p < 0.001) cohorts. CONCLUSIONS: We did not observe an increase in postoperative mortality after POD 30 before or after MACRA implementation. However, palliative care use markedly increased after POD 30. These findings should be considered hypothesis-generating because of several confounders.

Surviving Sepsis Guideline-Directed Fluid Resuscitation: An Assessment of Practice Patterns and Impact on Patient Outcomes.

IMPORTANCE: Aggressive fluid resuscitation remains a cornerstone of the Surviving Sepsis Campaign (SSC) guidelines, but there is growing controversy regarding the recommended 30 mL/kg IV fluid dosage. It is contended that, in selected patients, this volume confers an increased risk of volume overload without either concomitant benefit or strong evidence in support of the recommended IV fluid dosage. OBJECTIVES: Assessment of practice patterns and their impact on patient outcomes following the surviving sepsis guidelines for fluid resuscitation. DESIGN: Large, multisite retrospective cohort study. SETTING AND PARTICIPANTS: The retrospective study included all adult patients who presented to the emergency department at one of 19 different Mayo Clinic sites throughout the Midwest, Southeast, and Southwest from August 2018 to November 2020 with suspected sepsis. MAIN OUTCOMES AND MEASURES: Eight-thousand four-hundred fourteen patients suspected to have sepsis were assessed regarding fluid resuscitation and outcomes among patients receiving 30 mL/kg IV fluid dosing compared with patients who did not. Patient demographics and clinical information were collected via electronic health records. Patients were divided into two cohorts: those who received 0-29.9 mL/kg of IV fluid and those who received 30.0+ mL/kg of IV fluid. Statistical analyses were performed to evaluate the impact of fluid dose on in-hospital death, 30-day mortality, ICU admission after diagnosis, dialysis initiation after diagnosis, ventilator use, vasopressor use, as well as ICU and hospital length of stay. RESULTS: We observed lower in-hospital mortality and 30-day mortality risk in the 30+ mL/kg dosing group. Increased fluid dosage did, however, carry a much greater chance of ICU admission. Most patients (72% after propensity score weighting) in our population received less than 30 mL/kg fluid (based on ideal body weight). CONCLUSIONS AND RELEVANCE: IV fluid dosing for sepsis resuscitation greater than 30 mL/kg was associated with decreased risk of in-hospital mortality, 30-day mortality, and reduced risk of requiring mechanical ventilation. Our data does ultimately seem to support the SSC recommendation.

Hospital-Acquired Conditions Reduction Program, Patient Safety, and Magnet Designation in the United States.

OBJECTIVE: The aim of the study was to investigate the association between hospitals' nursing excellence accreditation and patient safety performance-measured by the Hospital-Acquired Conditions Reduction Program (HACRP). METHODS: We linked data from the American Nursing Credentialing Center Magnet Recognition Program, Centers for Medicare and Medicaid Services HACRP, and the American Hospital Association annual survey from 2014 to 2016. We constrained the analysis to hospitals participating in Centers for Medicare and Medicaid Services' HACRP and deployed propensity score matching models to calculate the coefficients for our HACRP patient safety measures. These measures consisted of (a) patient safety indicator 90, (b) hospital-associated infection measures, and (c) total HAC scores. In addition, we used propensity score matching to assess HACRP scores between hospitals achieving Magnet recognition in the past 2 versus longer and within the past 5 years versus longer. RESULTS: Our primary findings indicate that Magnet hospitals have an increased likelihood of experiencing lower patient safety indicator 90 scores, higher catheter-associated urinary tract infection and surgical site infection scores, and no different total HAC scores. Finally, when examining the impact of Magnet tenure, our analysis revealed that there were no differences in Magnet tenure. CONCLUSIONS: Results indicate that the processes, procedures, and educational aspects associated with Magnet recognition seem to provide important improvements associated with care that is controlled by nursing practice. However, because these improvements do not differ when comparing total HAC scores nor Magnet hospitals with different tenure, there are likely opportunities for Magnet hospitals to continue process improvements focused on HACRP scores.

Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates.

Importance: The Centers for Medicare and Medicaid Services's (CMS's) 30-day risk-standardized mortality rate (RSMR) and risk-standardized readmission rate (RSRR) models do not adjust for do-not-resuscitate (DNR) status of hospitalized patients and may bias Hospital Readmissions Reduction Program (HRRP) financial penalties and Overall Hospital Quality Star Ratings. Objective: To identify the association between hospital-level DNR prevalence and condition-specific 30-day RSMR and RSRR and the implications of this association for HRRP financial penalty. Design, Setting, and Participants: This cross-sectional study obtained patient-level data from the Medicare Limited Data Set Inpatient Standard Analytical File and hospital-level data from the CMS Hospital Compare website for all consecutive Medicare inpatient encounters from July 1, 2015, to June 30, 2018, in 4484 US hospitals. Hospitalized patients had a principal diagnosis of acute myocardial infarction (AMI), heart failure (HF), stroke, pneumonia, or chronic obstructive pulmonary disease (COPD). Incoming acute care transfers, discharges against medical advice, and patients coming from or discharged to hospice were among those excluded from the analysis. Exposures: Present-on-admission (POA) DNR status was defined as an International Classification of Diseases, Ninth Revision diagnosis code of V49.86 (before October 1, 2015) or as an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis code of Z66 (beginning October 1, 2015). Hospital-level prevalence of POA DNR status was calculated for each of the 5 conditions. Main Outcomes and Measures: Hospital-level 30-day RSMRs and RSRRs for 5 condition-specific cohorts (mortality cohorts: AMI, HF, stroke, pneumonia, and COPD; readmission cohorts: AMI, HF, pneumonia, and COPD) and HRRP financial penalty status (yes or no). Results: Included in the study were 4 884 237 inpatient encounters across condition-specific 30-day mortality cohorts (patient mean [SD] age, 78.8 [8.5] years; 2 608 182 women [53.4%]) and 4 450 378 inpatient encounters across condition-specific 30-day readmission cohorts (patient mean [SD] age, 78.6 [8.5] years; 2 349 799 women [52.8%]). Hospital-level median (interquartile range [IQR]) prevalence of POA DNR status in the mortality cohorts varied: 11% (7%-16%) for AMI, 13% (7%-23%) for HF, 14% (9%-22%) for stroke, 17% (9%-26%) for pneumonia, and 10% (5%-18%) for COPD. For the readmission cohorts, the hospital-level median (IQR) POA DNR prevalence was 9% (6%-15%) for AMI, 12% (6%-22%) for HF, 16% (8%-24%) for pneumonia, and 9% (4%-17%) for COPD. The 30-day RSMRs were significantly higher for hospitals in the highest quintiles vs the lowest quintiles of DNR prevalence (eg, AMI: 12.9 [95% CI, 12.8-13.1] vs 12.5 [95% CI, 12.4-12.7]; P < .001). The inverse was true among the readmission cohorts, with the highest quintiles of DNR prevalence exhibiting the lowest RSRRs (eg, AMI: 15.3 [95% CI, 15.1-15.5] vs 15.9 [95% CI, 15.7-16.0]; P < .001). A 1% absolute increase in risk-adjusted hospital-level DNR prevalence was associated with greater odds of avoiding HRRP financial penalty (odds ratio, 1.06; 95% CI, 1.04-1.08; P < .001). Conclusions and Relevance: This cross-sectional study found that the lack of adjustment in CMS 30-day RSMR and RSRR models for POA DNR status of hospitalized patients may be associated with biased readmission penalization and hospital-level performance.

Quality improvement education incorporated as an integral part of critical care fellows training at the Mayo Clinic.

PROBLEM: The Accreditation Council for Graduate Medical Education emphasizes quality improvement (QI) education in residency/fellowship training programs. The Mayo Clinic Combined Critical Care Fellowship (CCF) program conducted a pilot QI education program to incorporate QI training as a required curriculum for the 2010-2011 academic year. APPROACH: CCF collaborated with the Mayo Quality Academy to customize and teach the existing Mayo Quality Fellows curriculum to the CCF fellows with the help of two quality coaches over five months starting July 2010. All fellows were to achieve Bronze and Silver certification prior to graduation. Silver required passing four written exams and submitting a health care QI project. Five projects were selected on the basis of the Impact-Effort Prioritization matrix, and DMAIC (Define, Measure, Analyze, Improve, and Control) methodology was used to complete the projects. The primary outcome was to assess learners' satisfaction, knowledge, and skill transfer. OUTCOMES: All 20 fellows were Bronze certified, and 14 (70%) were Silver certified by the time of graduation. All five QI projects were completed and showed positive impacts on patient safety and care. Surveys showed improved learner satisfaction. Graduates felt the QI training improved their QI skills and employment and career advancement. The QI curriculum had appropriate content and teaching pace and did not significantly displace other important clinical core curriculum topics. NEXT STEPS: The pilot was successfully implemented in the CCF program and now is in the fourth academic year as an established and integral part of the fellowship core curriculum.