A validated value-based model to improve hospital-wide perioperative outcomes: adaptability to combined medical/surgical inpatient cohorts.
ABSTRACT Authors hypothesized that building safe hospital systems to improve value-based surgical outcomes is predicated on workflow redesign for dynamic risk stratification, coupled with "real-time" mitigation of risk. We developed a comanagement model for hospitalized surgical cohort, and determined whether this iterative process redesign for surgery will be adaptable to disparate hospital systems and will be beneficial for combined medical/surgical adult inpatients.
Concerns about preventable harm in hospitalized patients have generated a plethora of both, process-driven and outcome-based strategies in US Healthcare. Although comparison between hospitals is a common mechanism to drive quality, other innovative approaches are needed for real-time risk mitigation to improve outcomes.
Prospective implementation of Surgical Continuum of Care (SCoC) model in hospitals initially for surgery patients; subsequently Continuum of Care (CoC) for medical/surgical population. Redesign of hospital care delivery model: patient cohorting, floor-based team building, and intensivist/hospitalist staffing of progressive care unit (PCU). Work flow redesign for clinical effectiveness: multidisciplinary team rounds, acuity stratified care rounding based on dynamic risk assessment into a novel HAWK (high risk)/DOVE (low risk) patient grouping, intensivist/hospitalist comanagement of surgical patients, and targeted response.
Pre- and postintervention with concurrent cohort control design.
Academic medical centers for SCoC and integrated health system hospital for CoC. PATIENT GROUPS: SCoC Pilot Study-Campus A: Preintervention control group 1998-2000, Intervention Group 2001-2004; Campus B: Comparator Control Group 1998-2004. SCoC Validation Study-Campus C: Preintervention Group 2001-2005; Intervention Group 2006-2008. CoC Study-Campus D: Hospital-wide Group 2009. METRICS: Mortality, length of stay (LOS): overall, surgical intensive care unit and PCU, readmission rates, and cost. Case mix index for risk adjustment.
Total >100,000 admissions. There was a significant reduction in overall surgical mortality in both, pilot (P < 0.002) and validation (P < 0.02) SCoC studies and overall hospital mortality in the medical/surgical CoC study (risk-adjusted mortality index progressively declined in CoC study from 1.16 pre-CoC to 0.77 six months post-CoC implementation; significant at 75% confidence level). Case mix index was unchanged during study period in each campus. Nested study in validation cohort of hospital-wide versus surgery alone (observed/expected mortality index) demonstrated significant benefit to SCoC in intervention group. The mortality benefit was primarily derived from risk-stratified rounding and actively managing risk prone population in the PCU. Surgical intensive care unit, PCU, and total hospital patient-days significantly decreased in SCoC pilot study (P < 0.05), reflecting enhanced throughput. LOS reduction benefit persisted in SCoC validation and CoC studies. In addition to decreased LOS, cost savings were in PCU (range, $851,511-2,007,388) and top diagnosis-related groups, for example, $452 K/yr for diagnosis-related group 148.
SCoC is patient-centered, outcomes-driven, value-based approach for hospital-wide surgical patient safety. The principles of this value paradigm are adaptable to other hospitals as demonstrated in our longitudinal study in 3 hospital systems, and the initial experience of CoC suggests that this model will have benefit beyond surgical hospital cohort.
Anesthesia and analgesia 05/2014; 118(5):1131-1136. DOI:10.1213/ANE.0000000000000228 · 3.42 Impact Factor
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ABSTRACT: BACKGROUNDA previously published, retrospectively derived prediction rule for death within 30 days of hospital admission has the potential to launch parallel interdisciplinary team activities. Whether or not patient care improves will depend on the validity of prospectively generated predictions, and the feasibility of generating them on demand for a critical proportion of inpatients. OBJECTIVE To determine the feasibility of generating mortality predictions on admission and to validate their accuracy using the scoring weights of the retrospective rule. DESIGNProspective, sequential cohort. SETTINGLarge, tertiary care, community hospital in the Midwestern United States PATIENTSAdult patients admitted from the emergency department or scheduled for elective surgery RESULTSMortality predictions were generated on demand at the beginning of the hospitalization for 9312 (92.9%) out of a possible 10,027 cases. The area under the receiver operating curve for 30-day mortality was 0.850 (95% confidence interval: 0.833-0.866), indicating very good to excellent discrimination. The prospectively generated 30-day mortality risk had a strong association with the receipt of palliative care by hospital discharge, in-hospital mortality, and 180-day mortality, a fair association with the risk for 30-day readmissions and unplanned transfers to intensive care, and weak associations with receipt of intensive unit care ever within the hospitalization or the development of a new diagnosis that was not present on admission (ie, complication). CONCLUSIONS Important prognostic information is feasible to obtain in a real-time, single-assessment process for a sizeable proportion of hospitalized patients. Journal of Hospital Medicine 2014;9:720-726. (c) 2014 Society of Hospital MedicineJournal of Hospital Medicine 11/2014; 9(11). DOI:10.1002/jhm.2250 · 2.08 Impact Factor
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ABSTRACT: The quality of the relationship between the sterile processing department (SPD) and the operating room (OR) is an important determinant of OR safety and performance. In this article, the concept of "friction" refers to the SPD behaviors and attributes that can negatively affect OR performance. Panels of SPD professionals initially were asked to identify and operationally define different ways in which behaviors of a hospital's SPD could compromise OR performance. A national convenience sample of OR nurses (N = 291) rated 14 frictions in terms of their agreement or disagreement that each had a negative effect on OR performance in their hospital. Overall, more than 50% of the entire sample agreed that 2 frictions, "SPD does not communicate effectively with the OR" (55%) and "SPD inventories are insufficient for surgical volume" (52%), had negative effect on OR performance. However, a latent class analysis revealed 3 distinct classes of nurses who varied with respect to their level of agreement that SPD-OR frictions negatively affected OR performance. The observed heterogeneity in how different groups of nurses viewed different frictions suggests that effective efforts aimed at reducing performance-limiting frictions should be customized so that resources can be used where they are most needed.Quality management in health care 07/2014; 23(3):188-200. DOI:10.1097/QMH.0000000000000038