The Association of ICU Acuity With Adherence to ICU Evidence-Based Processes of Care.
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ABSTRACT: Background
Admission to high-acuity ICUs has been associated with improved outcomes compared with outcomes in low-acuity ICUs, although the mechanism for these findings is unclear.Research question
The goal of this study was to determine if high-acuity ICUs more effectively implement evidence-based processes of care that have been associated with improved clinical outcomes.Study design and methods
This retrospective cohort study was performed in adult ICU patients admitted to 322 ICUs in 199 hospitals in the Philips ICU telemedicine database between 2010 and 2015. The primary exposure was ICU acuity, defined as the mean Acute Physiology and Chronic Health Evaluation IVa score of all admitted patients in a calendar year, stratified into quartiles. Multivariable logistic regression was used to examine relations of ICU acuity with adherence to evidence-based VTE and stress ulcer prophylaxis, and with the avoidance of potentially harmful events. These events included hypoglycemia, sustained hyperglycemia, and liberal transfusion practices (defined as RBC transfusions prescribed for nonbleeding patients with preceding hemoglobin levels ≥ 7 g/dL).Results
Among 1,058,510 ICU admissions, adherence to VTE and stress ulcer prophylaxis was high across acuity levels. In adjusted analyses, those admitted to low-acuity ICUs compared with the highest acuity ICUs were more likely to experience hypoglycemic events (adjusted OR [aOR], 1.12; 95% CI, 1.04-1.19), sustained hyperglycemia (aOR, 1.07; 95% CI, 1.04-1.10), and liberal transfusion practices (aOR, 1.55; 95% CI, 1.33-1.82).Interpretation
High-acuity ICUs were associated with better adherence to several evidence-based practices, which may be a marker of high-quality care. Future research should investigate how high-acuity ICUs approach ICU organization to identify targets for improving the quality of critical care across all ICU acuity levels.
SUBMITTER: Vranas KC
PROVIDER: S-EPMC7417378 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:We sought to explore potential mechanisms underlying hospital sepsis case volume-mortality associations by investigating implementation of evidence-based processes of care.Retrospective cohort study. We determined associations of sepsis case volume with three evidence-based processes of care (lactate measurement during first hospital day, norepinephrine as first vasopressor, and avoidance of starch-based colloids) and assessed their role in mediation of case volume-mortality associations.Enhanced administrative data (Premier, Charlotte, NC) from 534 U.S. hospitals.A total of 287,914 adult patients with sepsis present at admission between July 2010 and December 2012 of whom 58,045 received a vasopressor for septic shock during the first 2 days of hospitalization.None.Among patients with sepsis, 1.9% received starch, and among patients with septic shock, 68.3% had lactate measured and 64% received norepinephrine as initial vasopressor. Patients at hospitals with the highest case volume were more likely to have lactate measured (adjusted odds ratio quartile 4 vs quartile 1, 2.8; 95% CI, 2.1-3.7) and receive norepinephrine as initial vasopressor (adjusted odds ratio quartile 4 vs quartile 1, 2.1; 95% CI, 1.6-2.7). Case volume was not associated with avoidance of starch products (adjusted odds ratio quartile 4 vs quartile 1, 0.73; 95% CI, 0.45-1.2). Adherence to evidence-based care was associated with lower hospital mortality (adjusted odds ratio, 0.81; 95% CI, 0.70-0.94) but did not strongly mediate case volume-mortality associations (point estimate change ? 2%).In a large cohort of U.S. patients with sepsis, select evidence-based processes of care were more likely implemented at high-volume hospitals but did not strongly mediate case volume-mortality associations. Considering processes and case volume when regionalizing sepsis care may maximize patient outcomes.
| S-EPMC5433897 | biostudies-literature
Project description:OBJECTIVE:Many ICU patients do not require critical care interventions. Whether aggressive care environments increase risks to low-acuity patients is unknown. We evaluated whether ICU acuity was associated with outcomes of low mortality-risk patients. We hypothesized that admission to high-acuity ICUs would be associated with worse outcomes. This hypothesis was based on two possibilities: 1) high-acuity ICUs may have a culture of aggressive therapy that could lead to potentially avoidable complications and 2) high-acuity ICUs may focus attention toward the many sicker patients and away from the fewer low-risk patients. DESIGN:Retrospective cohort study. SETTING:Three hundred twenty-two ICUs in 199 hospitals in the Philips eICU database between 2010 and 2015. PATIENTS:Adult ICU patients at low risk of dying, defined as an Acute Physiology and Chronic Health Evaluation-IVa-predicted mortality of 3% or less. EXPOSURE:ICU acuity, defined as the mean Acute Physiology and Chronic Health Evaluation IVa score of all admitted patients in a calendar year, stratified into quartiles. MEASUREMENTS AND MAIN RESULTS:We used generalized estimating equations to test whether ICU acuity is independently associated with a primary outcome of ICU length of stay and secondary outcomes of hospital length of stay, hospital mortality, and discharge destination. The study included 381,997 low-risk patients. Mean ICU and hospital length of stay were 1.8?±?2.1 and 5.2?±?5.0 days, respectively. Mean Acute Physiology and Chronic Health Evaluation IVa-predicted hospital mortality was 1.6% ± 0.8%; actual hospital mortality was 0.7%. In adjusted analyses, admission to low-acuity ICUs was associated with worse outcomes compared with higher-acuity ICUs. Specifically, compared with the highest-acuity quartile, ICU length of stay in low-acuity ICUs was increased by 0.24 days; in medium-acuity ICUs by 0.16 days; and in high-acuity ICUs by 0.09 days (all p < 0.001). Similar patterns existed for hospital length of stay. Patients in lower-acuity ICUs had significantly higher hospital mortality (odds ratio, 1.28 [95% CI, 1.10-1.49] for low-; 1.24 [95% CI, 1.07-1.42] for medium-, and 1.14 [95% CI, 0.99-1.31] for high-acuity ICUs) and lower likelihood of discharge home (odds ratio, 0.86 [95% CI, 0.82-0.90] for low-, 0.88 [95% CI, 0.85-0.92] for medium-, and 0.95 [95% CI, 0.92-0.99] for high-acuity ICUs). CONCLUSIONS:Admission to high-acuity ICUs is associated with better outcomes among low mortality-risk patients. Future research should aim to understand factors that confer benefit to patients with different risk profiles.
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Project description:Importance:Staphylococcus aureus bacteremia is common and frequently associated with poor outcomes. Evidence indicates that specific care processes are associated with improved outcomes for patients with S aureus bacteremia, including appropriate antibiotic prescribing, use of echocardiography to identify endocarditis, and consultation with infectious diseases (ID) specialists. Whether use of these care processes has increased in routine care for S aureus bacteremia or whether use of these processes has led to large-scale improvements in survival is unknown. Objective:To examine the association of evidence-based care processes in routine care for S aureus bacteremia with mortality. Design, Setting, and Participants:This retrospective observational cohort study examined all patients admitted to Veterans Health Administration (VHA) acute care hospitals who had a first episode of S aureus bacteremia from January 1, 2003, through December 31, 2014. Exposures:Use of appropriate antibiotic therapy, echocardiography, and ID consultation. Main Outcomes and Measures:Thirty-day all-cause mortality. Results:Analyses included 36?868 patients in 124 hospitals (mean [SD] age, 66.4 [12.5] years; 36 036 [97.7%] male), including 19?325 (52.4%) with infection due to methicillin-resistant S aureus and 17?543 (47.6%) with infection due to methicillin-susceptible S aureus. Risk-adjusted mortality decreased from 23.5% (95% CI, 23.3%-23.8%) in 2003 to 18.2% (95% CI, 17.9%-18.5%) in 2014. Rates of appropriate antibiotic prescribing increased from 2467 (66.4%) to 1991 (78.9%), echocardiography from 1256 (33.8%) to 1837 (72.8%), and ID consultation from 1390 (37.4%) to 1717 (68.0%). After adjustment for patient characteristics, cohort year, and other care processes, receipt of care processes was associated with lower mortality, with adjusted odds ratios of 0.74 (95% CI, 0.68-0.79) for appropriate antibiotics, 0.73 (95% CI, 0.68-0.78) for echocardiography, and 0.61 (95% CI, 0.56-0.65) for ID consultation. Mortality decreased progressively as the number of care processes that a patient received increased (adjusted odds ratio for all 3 processes compared with none, 0.33; 95% CI, 0.30-0.36). An estimated 57.3% (95% CI, 48.4%-69.9%) of the decrease in mortality between 2003 and 2014 could be attributed to increased use of these evidence-based care processes. Conclusions and Relevance:Mortality associated with S aureus bacteremia decreased significantly in VHA hospitals, and a substantial portion of the decreasing mortality may have been attributable to increased use of evidence-based care processes. The experience in VHA hospitals demonstrates that increasing application of these care processes may improve survival among patients with S aureus bacteremia in routine health care settings.
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Project description:BackgroundEvidence-based guidelines for care of coronary heart disease patients are not fully implemented. Primary care practices provide most of the care for these patients.ObjectiveTo learn how providers and staff in a busy primary care practice implement interventions to provide evidence-based care of coronary heart disease patients.MethodsWe conducted a qualitative analysis of the responses to open-ended questions in nine electronically administered bimonthly surveys of key physicians, clinic staff and managers in the practice.ResultsTen to 16 (mean=12.3) personnel responded to each survey. Nearly 30% were physicians and 40.5% were clinic staff. Four major themes emerged from the qualitative analysis: (i) giving data about not-at-goal patients to providers for care plan development; (ii) developing team roles and defining tasks; (iii) providing patient care and implementing care plans and (iv) providing technology support to generate useful, accurate data. The frequency that the subthemes were mentioned varied from survey to survey, but their mention persisted over the entire time of all nine surveys.ConclusionsDeveloping a system for implementing evidence-based care involves considerations of roles and teamwork, technology use to develop a patient registry and obtain needed clinical data, care processes for pre-visit planning, and between-visit care management. A registered nurse care manager is a central figure in implementing and sustaining the process. Implementing evidence-based guidelines is an ongoing process of revision, retraining and reinforcement.
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Project description:We developed spotted oligonucleotide arrays of the S. pyogenes SF370 (an M1 serotype) genome and compared the transcriptomes of streptococci that adhere to Detroit 562 human pharyngeal cells to non-adherent (“associated”) streptococci within the same experiment. We replicated experiments independently and used dye-swaps to incorporate biological and technical variation, biological replicate experiments. Following filtering and normalization, we analyzed data from four biological replicates with robust summary statistics, Bayesian statistics and permutation algorithms to identify genes differentially expressed with significance during pharyngeal cell adherence. This analysis identified 79 genes (4% of the genome) exhibiting statistically significant fold changes in expression (PF value < 0.05) during adherence from 1769 open reading frames represented on the array. The genes encoding several known virulence factors (e.g. cysteine protease SpeB and streptolysin O) were differentially expressed with significance; however, many were either never before associated with adherence (e.g. phage-encoded genes including speH), or of undefined function. Genes demonstrating up-regulation (n= 45) and down-regulation (n= 34) included virulence factors, prophage-encoded transcripts, metabolic genes and transcriptional regulators (Table 2). Undefined or hypothetical genes comprised 27% of differentially expressed genes (n= 21; 11 chromosomally-encoded, 10 phage-encoded). We conducted TaqMan (qRT-PCR) analysis of 11 differentially expressed genes to validate selected microarray hybridization results. We further analyzed the data with neighbor clustering, using a set of novel computational algorithms (termed “GenomeCrawler”) for evaluating bacterial microarray data, which couples the expression profiles of genes with their physical location on the chromosome. When applied to the microarray data from this study, neighbor clustering identified a greater number of differentially expressed genes, which facilitated the reconstruction of known multimeric proteins, complete metabolic pathways and intact virulence loci that would not have been possible without its application. These data sets and algorithms are freely available for download at www.rockefeller.edu/vaf. Keywords: Pharyngeal cell adherent vs. associated
2007-04-27 | GSE7620 | GEO
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Project description:BackgroundPoor adherence to scheduled dialysis treatments is common and can cause adverse clinical and economic outcomes. In 2015, the Centers for Medicare and Medicaid Innovation launched the Comprehensive ESRD Care (CEC) Model, a novel modification of the Accountable Care Organization framework. Many model participants reported efforts to increase dialysis adherence and promptly reschedule missed treatments.MethodsWith Medicare databases covering 2014-2019, we used difference-in-differences models to compare treatment adherence among patients aligned to 1037 CEC facilities relative to those aligned to matched comparison facilities, while accounting for their differences at baseline. Using dates of service, we identified patients who typically received three weekly treatments and the days when treatments typically occurred. Skipped treatments were defined as days when the patient was not hospitalized but did not receive an expected treatment, and rescheduled treatments as days when a patient who had skipped their previous treatment received an additional treatment before their next expected treatment date.ResultsPatients in the CEC Model had higher odds of attending as-scheduled sessions relative to the comparison group, although the effect was only marginally significant (OR, 1.02; 95% CI, 1.00 to 1.04, P=0.08). Effects were stronger among females (OR, 1.03; 95% CI, 1.00 to 1.06, P=0.06) than males (OR, 1.01; 95% CI, 0.98 to 1.04, P=0.49), and among those aged <70 years (OR, 1.02; 95% CI, 1.00 to 1.05, P=0.04) than those aged ≥70 years (OR, 1.00; 95% CI, 0.96 to 1.04, P=0.96). The CEC was associated with higher odds of rescheduled sessions (OR, 1.09; 95% CI, 1.05 to 1.14, P<0.001). Effects were significant for both sexes, but were larger among males (OR, 1.11; 95% CI, 1.05 to 1.18, P<0.001) than females (OR, 1.07; 95% CI, 1.02 to 1.13, P=0.01), and effects were significant among those <70 years (OR, 1.12; 95% CI, 1.07 to 1.17, P<0.001), but not those ≥70 years (OR, 0.99; 95% CI, 0.92 to 1.07, P=0.80).ConclusionsThe CEC Model is intended to incentivize strategies to prevent costly interventions. Because poor dialysis adherence may precipitate hospitalizations or other adverse events, many CEC Model participants encouraged adherence and promptly rescheduled missed treatments as strategic priorities. This study suggests these efforts were a success, although the absolute magnitudes of the effects were modest.
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Project description:Antenatal care (ANC) aims of monitoring wellbeing of mother and foetus during pregnancy. We validate a set of indicators aimed of measuring the quality of ANC of women on low-risk, uncomplicated pregnancy through their relationship with maternal and neonatal outcomes. We conducted a population-based cohort study including 122,563 deliveries that occurred between 2015 and 2017 in the Lombardy Region, Italy. Promptness and appropriateness of number and timing of gynaecological visits, ultrasounds and laboratory tests were evaluated. We assessed several maternal and neonatal outcomes. Log-binomial regression models were used to estimate prevalence ratio (PR), and corresponding 95% confidence interval (95% CI), for the exposure?outcome association. Compared with women who adhered with recommendations, those who were no adherent had a significant higher prevalence of maternal intensive care units admission (PR: 3.1, 95%CI: 1.2-7.9; and 2.7, 1.1-7.0 respectively for promptness of gynaecological visits, and appropriateness of ultrasound examinations), low Apgar score (1.6, 1.1-1.2; 1.9, 1.3-2.7; and 2.1, 1.5-2.8 respectively for appropriateness and promptness of gynaecological visits, and appropriateness of ultrasound examinations), and low birth weight (1.8, 1.5-2.3 for appropriateness of laboratory test examinations). Benefits for mothers and newborn are expected from improving adherence to guidelines-driven recommendations regarding antenatal care even for low-risk, uncomplicated pregnancies.
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Project description:ObjectiveHealthcare is increasingly digitized, yet remote and automated machine learning (ML) triage prediction systems for virtual urgent care use remain limited. The Canadian Triage and Acuity Scale (CTAS) is the gold standard triage tool for in-person care in Canada. The current work describes the development of a ML-based acuity score modelled after the CTAS system.MethodsThe ML-based acuity score model was developed using 2,460,109 de-identified patient-level encounter records from three large healthcare organizations (Ontario, Canada). Data included presenting complaint, clinical modifiers, age, sex, and self-reported pain. 2,041,987 records were high acuity (CTAS 1-3) and 416,870 records were low acuity (CTAS 4-5). Five models were trained: decision tree, k-nearest neighbors, random forest, gradient boosting regressor, and neural net. The outcome variable of interest was the acuity score predicted by the ML system compared to the CTAS score assigned by the triage nurse.ResultsGradient boosting regressor demonstrated the greatest prediction accuracy. This final model was tuned toward up triaging to minimize patient risk if adopted into the clinical context. The algorithm predicted the same score in 47.4% of cases, and the same or more acute score in 95.0% of cases.ConclusionsThe ML algorithm shows reasonable predictive accuracy and high predictive safety and was developed using the largest dataset of its kind to date. Future work will involve conducting a pilot study to validate and prospectively assess reliability of the ML algorithm to assign acuity scores remotely.
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Project description:BackgroundThe COVID-19 pandemic resulted in unprecedented adjustments to ICU organization and care processes globally.Research questionsDid hospital emergency responses to the COVID-19 pandemic differ depending on hospital setting? Which strategies worked well to mitigate strain as perceived by intensivists?Study design and methodsBetween August and November 2020, we carried out semistructured interviews of intensivists from tertiary and community hospitals across six regions in the United States that experienced early or large surges of COVID-19 patients, or both. We identified themes of hospital emergency responses using the four S framework of acute surge planning: space, staff, stuff, system.ResultsThirty-three intensivists from seven tertiary and six community hospitals participated. Clinicians across both settings believed that canceling elective surgeries was helpful to increase ICU capabilities and that hospitals should establish clearly defined thresholds at which surgeries are limited during future surge events. ICU staff was the most limited resource; staff shortages were improved by the use of tiered staffing models, just-in-time training for non-ICU clinicians, designated treatment teams, and deployment of trainees. Personal protective equipment (PPE) shortages and reuse were widespread, causing substantial distress among clinicians; hands-on PPE training was helpful to reduce clinicians' anxiety. Transparency and involvement of frontline clinicians as stakeholders were important components of effective emergency responses and helped to maintain trust among staff.InterpretationWe identified several strategies potentially to mitigate strain as perceived by intensivists working in both tertiary and community hospital settings. Our study also demonstrated the importance of trust and transparency between frontline staff and hospital leadership as key components of effective emergency responses during public health crises.
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