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The Association Between Daytime Intensivist Physician Staffing and Mortality in the Context of Other ICU Organizational Practices: A Multicenter Cohort Study.

ABSTRACT: Daytime intensivist physician staffing is associated with improved outcomes in the ICU. However, it is unclear whether this association persists in the era of interprofessional, protocol-directed critical care. We sought to reexamine the association between daytime intensivist physician staffing and ICU mortality and determine if interprofessional rounding and protocols for mechanical ventilation in part mediate this relationship.Retrospective cohort study of ICUs in the Acute Physiology and Chronic Health Evaluation clinical information system from 2009 to 2010.Forty-nine ICUs in 25 U.S. hospitals.Adults (17 yr and older) admitted to a study ICU.None.We defined high-intensity daytime intensivist staffing as either a mandatory consult or closed ICU model; interprofessional rounds as rounds that included a respiratory therapist, pharmacist, physician and nurse; and protocol use as having protocols for liberation from mechanical ventilation and lung protective mechanical ventilation. Using multivariable logistic regression, we estimated the independent effect of daytime intensivist physician staffing on in-hospital mortality controlling for interprofessional rounds and protocols for mechanical ventilation, as well as other patient and hospital characteristics. Twenty-seven ICUs (55%) reported high-intensity daytime physician staffing, 42 ICUs (85%) reported daily interprofessional rounds, and 31 (63%) reported having protocols for mechanical ventilation. There was no association between daytime intensivist physician staffing and in-hospital mortality (adjusted odds ratio, 0.86; 95% CI, 0.65-1.14). After adjusting for interprofessional rounds and protocols for mechanical ventilation, the effect of daytime intensivist physician staffing remained nonsignificant (adjusted odds ratio, 0.90; 95% CI, 0.70-1.17).High-intensity daytime physician staffing in the ICU was not significantly associated with lower mortality in a modern cohort. This association was not affected by interprofessional rounds or protocols for mechanical ventilation.

SUBMITTER: Costa DK

PROVIDER: S-EPMC4721231 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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The Association Between Daytime Intensivist Physician Staffing and Mortality in the Context of Other ICU Organizational Practices: A Multicenter Cohort Study.

Costa Deena Kelly DK Wallace David J DJ Kahn Jeremy M JM

Critical care medicine 20151101 11

<h4>Objective</h4>Daytime intensivist physician staffing is associated with improved outcomes in the ICU. However, it is unclear whether this association persists in the era of interprofessional, protocol-directed critical care. We sought to reexamine the association between daytime intensivist physician staffing and ICU mortality and determine if interprofessional rounding and protocols for mechanical ventilation in part mediate this relationship.<h4>Design</h4>Retrospective cohort study of ICU ...[more]

PMID: 26308426

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Project description:BackgroundHospitals are increasingly adopting 24-hour intensivist physician staffing as a strategy to improve intensive care unit (ICU) outcomes. However, the degree to which nighttime intensivists are associated with improvements in the quality of ICU care is unknown.MethodsWe conducted a retrospective cohort study involving ICUs that participated in the Acute Physiology and Chronic Health Evaluation (APACHE) clinical information system from 2009 through 2010, linking a survey of ICU staffing practices with patient-level outcomes data from adult ICU admissions. Multivariate models were used to assess the relationship between nighttime intensivist staffing and in-hospital mortality among ICU patients, with adjustment for daytime intensivist staffing, severity of illness, and case mix. We conducted a confirmatory analysis in a second, population-based cohort of hospitals in Pennsylvania from which less detailed data were available.ResultsThe analysis with the use of the APACHE database included 65,752 patients admitted to 49 ICUs in 25 hospitals. In ICUs with low-intensity daytime staffing, nighttime intensivist staffing was associated with a reduction in risk-adjusted in-hospital mortality (adjusted odds ratio for death, 0.62; P=0.04). Among ICUs with high-intensity daytime staffing, nighttime intensivist staffing conferred no benefit with respect to risk-adjusted in-hospital mortality (odds ratio, 1.08; P=0.78). In the verification cohort, there was a similar relationship among daytime staffing, nighttime staffing, and in-hospital mortality. The interaction between nighttime staffing and daytime staffing was not significant (P=0.18), yet the direction of the findings were similar to those in the APACHE cohort.ConclusionsThe addition of nighttime intensivist staffing to a low-intensity daytime staffing model was associated with reduced mortality. However, a reduction in mortality was not seen in ICUs with high-intensity daytime staffing. (Funded by the National Heart, Lung, and Blood Institute.).

Project description:ObjectivesTo compare sleep, work hours, and behavioral alertness in faculty and fellows during a randomized trial of nighttime in-hospital intensivist staffing compared with a standard daytime intensivist model.DesignProspective observational study.SettingMedical ICU of a tertiary care academic medical center during a randomized controlled trial of in-hospital nighttime intensivist staffing.PatientsTwenty faculty and 13 fellows assigned to rotations in the medical ICU during 2012.InterventionsAs part of the parent study, there was weekly randomization of staffing model, stratified by 2-week faculty rotation. During the standard staffing model, there were in-hospital residents, with a fellow and faculty member available at nighttime by phone. In the intervention, there were in-hospital residents with an in-hospital nighttime intensivist. Fellows and faculty completed diaries detailing their sleep, work, and well-being; wore actigraphs; and performed psychomotor vigilance testing daily.Measurements and main resultsDaily sleep time (mean hours [SD]) was increased for fellows and faculty in the intervention versus control (6.7 [0.3] vs 6.0 [0.2]; p < 0.001 and 6.7 [0.1] vs 6.4 [0.2]; p < 0.001, respectively). In-hospital work duration did not differ between the models for fellows or faculty. Total hours of work done at home was different for both fellows and faculty (0.1 [< 0.1] intervention vs 1.0 [0.1] control; p < 0.001 and 0.2 [< 0.1] intervention vs 0.6 [0.1] control; p < 0.001, respectively). Psychomotor vigilance testing did not demonstrate any differences. Measures of well-being including physical exhaustion and alertness were improved in faculty and fellows in the intervention staffing model.ConclusionsAlthough no differences were measured in patient outcomes between the two staffing models, in-hospital nighttime intensivist staffing was associated with small increases in total sleep duration for faculty and fellows, reductions in total work hours for fellows only, and improvements in subjective well-being for both groups. Staffing models should consider how work duration, sleep, and well-being may impact burnout and sustainability.

Project description:BackgroundA large body of research suggests that hospitals with intensive care units staffed by board-certified intensivists have lower mortality rates than those that do not.ObjectiveTo determine whether hospitals can reduce their mortality by adopting an intensivist staffing model.DesignRetrospective, longitudinal study using 2003-2010 Medicare data and the Leapfrog Group Hospital surveys.Setting and patientsIn total, 2,916,801 Medicare patients at 488 US hospitals.MeasurementsWe studied 30-day and in-hospital mortality among patients with several common medical and surgical conditions. We first compared risk-adjusted mortality rates of 3 groups of hospitals: those that were intensivist staffed throughout this time period, those that were not intensivist staffed, and those that transitioned to intensivist staffing somewhere during the period. We then examined rates of mortality improvement within each of the 3 groups and used difference-in-differences techniques to assess the independent effect of intensivist staffing among the subset of hospitals that transitioned.ResultsHospitals with intensivist staffing at the beginning of our study period had lower mortality rates than those without. However, hospitals that adopted intensivist staffing during the study period did not substantially improve their mortality rates. In our difference-in-differences analysis, there was no significant independent improvement in mortality after transitioning to intensivist staffing either overall [relative risk (RR), 0.96; 95% confidence interval (CI), 0.90-1.02] or in the medical (RR, 0.95; 95% CI, 0.89-1.02) or surgical populations (RR, 0.97; 95% CI, 0.84-1.10).LimitationsRisk adjustment was based on administrative data. Categorization of exposure was by survey response at the hospital level.ConclusionsAdoption of an intensivist staffing model was not associated with improved mortality in Medicare beneficiaries. These findings suggest that the lower mortality rates previously observed at hospitals with intensivist staffing may be attributable to other factors.

Project description:Importance:Consolidation among physician practices and between hospitals and physician practices has accelerated in the past decade, resulting in higher prices in commercial markets. The resulting integration of health care across clinicians and participation in alternative payment models (APMs), which aim to improve quality while constraining spending, are cited as reasons for consolidation, but little is known about the association between integration and APM participation. Objective:To examine the association of organizational characteristics, ownership, and integration with intensity of participation in APMs among physician practices. Design, Setting, and Participants:A cross-sectional descriptive study, adjusted for sampling and nonresponse weights, was conducted in US physician practice respondents to the National Survey of Healthcare Organizations and Systems conducted between June 16, 2017, and August 17, 2018; of 2333 responses received (response rate, 46.9%) and after exclusion of ineligible and incomplete responses, the number of practices included in the analysis was 2061. Data analysis was performed from April 1, 2019, to August 31, 2019. Exposures:Self-reported physician practice characteristics, including ownership, integration (clinical, cultural, financial, and functional), care delivery capabilities, activities, and environmental factors. Main Outcomes and Measures:Participation in APMs: (1) bundled payments, (2) comprehensive primary care and medical home programs, (3) pay-for-performance programs, (4) capitated contracts with commercial health plans, and (5) accountable care organization contracts. Results:A total of 49.2% of the 2061 practices included reported participating in 3 or more APMs; most participated in pay-for-performance and accountable care organization models. Covariate-adjusted analyses suggested that operating within a health care system (odds ratio [OR] for medical group: 2.35; 95% CI, 1.70-3.25; P?<?.001; simple health system: 1.46; 95% CI, 1.08-1.97; P?=?.02; and complex health system: 1.76; 95% CI, 1.25-2.47; P?=?.001 relative to independent practices), greater clinical (OR, 4.68; 95% CI, 2.28-9.59; P?<?.001) and functional (OR, 4.24; 95% CI, 2.00-8.97; P?<?.001) integration, and being located in the Northeast (OR for Midwest: 0.47; 95% CI, 0.34-0.65; P?<?.001; South: 0.47; 95% CI, 0.34-0.66; P?<?.001; and West:?0.64; 95% CI, 0.46-0.91; P?=?.01) were associated with greater APM participation. Conclusions and Relevance:Greater APM participation appears to be supported by integration and system ownership.

Project description:BackgroundVariation in intensive care unit (ICU) readmissions and in-hospital mortality after ICU discharge may indicate potential for improvement and could be explained by ICU discharge practices. Our objective was threefold: (1) describe variation in rates of ICU readmissions within 48 h and post-ICU in-hospital mortality, (2) describe ICU discharge practices in Dutch hospitals, and (3) study the association between rates of ICU readmissions within 48 h and post-ICU in-hospital mortality and ICU discharge practices.MethodsWe analysed data on 42,040 admissions to 82 (91.1%) Dutch ICUs in 2011 from the Dutch National Intensive Care Evaluation (NICE) registry to describe variation in standardized ICU readmission and post-ICU mortality rates using funnel-plots. We send a questionnaire to all Dutch ICUs. 75 ICUs responded and their questionnaire data could be linked to 38,498 admissions in the NICE registry. Generalized estimation equations analyses were used to study the association between ICU readmissions and post-ICU mortality rates and the identified discharge practices, i.e. (1) ICU discharge criteria; (2) bed managers; (3) early discharge planning; (4) step-down facilities; (5) medication reconciliation; (6) verbal and written handover; (7) monitoring of post-ICU patients; and (8) consulting ICU nurses. In all analyses, the outcomes were corrected for patient-related confounding factors.ResultsThe standardized rate of ICU readmissions varied between 0.14 and 2.67 and 20.8% of the hospitals fell outside the 95% control limits and 3.6% outside the 99.8% control limits. The standardized rate of post-ICU mortality varied between 0.07 and 2.07 and 17.1% of the hospitals fell outside the 95% control limits and 4.9% outside the 99.8% control limits. We could not demonstrate an association between the eight ICU discharge practices and rates of ICU readmissions or post-ICU in-hospital mortality. Implementing a higher number of ICU discharge practices was also not associated with better patient outcomes.ConclusionsWe found both variation in patient outcomes and variation in ICU discharge practices between ICUs. However, we found no association between discharge practices and rates of ICU readmissions or post-ICU mortality. Further research is necessary to find factors, which may influence these patient outcomes, in order to improve quality of care.

Dataset Information

The Association Between Daytime Intensivist Physician Staffing and Mortality in the Context of Other ICU Organizational Practices: A Multicenter Cohort Study.

Publications

The Association Between Daytime Intensivist Physician Staffing and Mortality in the Context of Other ICU Organizational Practices: A Multicenter Cohort Study.

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