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1.
Public Health Rep ; 134(5): 477-483, 2019.
Article in English | MEDLINE | ID: mdl-31424330

ABSTRACT

During 2014-2016, the largest outbreak of Ebola virus disease (EVD) in history occurred in West Africa. The New York City Department of Health and Mental Hygiene (DOHMH) worked with health care providers to prepare for persons under investigation (PUIs) for EVD in New York City. From July 1, 2014, through December 29, 2015, we classified as a PUI a person with EVD-compatible signs or symptoms and an epidemiologic risk factor within 21 days before illness onset. Of 112 persons who met PUI criteria, 74 (66%) sought medical care and 49 (44%) were hospitalized. The remaining 38 (34%) were isolated at home with daily contact by DOHMH staff members. Thirty-two (29%) PUIs received a diagnosis of malaria. Of 10 PUIs tested, 1 received a diagnosis of EVD. Home isolation minimized unnecessary hospitalization. This case study highlights the importance of developing competency among clinical and public health staff managing persons suspected to be infected with a high-consequence pathogen.


Subject(s)
Disease Outbreaks , Hemorrhagic Fever, Ebola/epidemiology , Public Health Administration , Adolescent , Adult , Child , Child, Preschool , Female , Hemorrhagic Fever, Ebola/diagnosis , Hemorrhagic Fever, Ebola/physiopathology , Humans , Infant , Male , Middle Aged , New York City/epidemiology , Population Surveillance , Risk Assessment , Young Adult
2.
J Hosp Med ; 11(1): 33-8, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26395862

ABSTRACT

BACKGROUND: Understanding the mechanism of unplanned hospital readmissions is necessary for accurate prediction and prevention. OBJECTIVE: To identify specific mechanisms of unplanned readmissions through medical narratives obtained from chart reviews. DESIGN: Retrospective chart review. SETTING: Urban tertiary care hospital. PATIENTS: Two hundred seventy patients accounted for 335 unplanned 7-day readmissions between July 2010 and July 2011. MEASUREMENTS: Readmissions were classified into 1 of 5 distinct categories. RESULTS: Readmitted subjects were more likely to have had a longer length of stay during the first admission compared to nonreadmitted patients. Readmissions due to unpredictable/unpreventable complications or unrelated events constituted the highest percentage at 46%. Readmissions due to patient factors such as substance abuse, signing out against medical advice, or nonadherence to the treatment plan constituted 31%. Readmissions designated as preventable accounted for 24%. Among preventable readmissions, the most common cause was incomplete management of the index diagnosis. The interobserver level of agreement across the 5 major categories was substantial. CONCLUSIONS: We found through detailed chart review of patients readmitted within 7 days to an urban teaching hospital that the majority of readmissions were not avoidable and were often due to unpredictable or unpreventable complications of the primary diagnosis from the index hospitalization or to patient behaviors that contradicted the treatment plan. These results question the value of readmissions as a valid metric of quality and support future interventions in hospital systems to reduce preventable readmissions.


Subject(s)
Length of Stay/statistics & numerical data , Patient Readmission/statistics & numerical data , Adult , Aged , Clinical Audit , Female , Hospitals, Teaching , Hospitals, Urban , Humans , Male , Middle Aged , Patient Compliance , Retrospective Studies , Risk Factors , Substance-Related Disorders
3.
Crit Care ; 15(6): R269, 2011.
Article in English | MEDLINE | ID: mdl-22085785

ABSTRACT

INTRODUCTION: Rapid response teams (RRTs) have been shown to reduce cardiopulmonary arrests outside the intensive care unit (ICU). Yet the utility of RRTs remains in question, as most large studies have failed to demonstrate a significant reduction in hospital-wide mortality after RRT implementation. METHODS: A cohort design with historical controls was used to determine the effect on hospital-wide mortality of an RRT in which clinical judgment, in addition to vital-signs criteria, was widely promoted as a key trigger for activation. All nonprisoner patients admitted to a tertiary referral public teaching hospital from 2003 through 2008 were included. In total, 77, 021 admissions before RRT implementation (2003 through 2005) and 79, 013 admissions after RRT implementation (2006 through 2008) were evaluated. The a priori primary outcome was unadjusted hospital-wide mortality. A Poisson regression model was then used to adjust for hospital-wide mortality trends over time. Secondary outcomes defined a priori were unadjusted out-of-ICU mortality and out-of-ICU cardiopulmonary-arrest codes. RESULTS: In total, 855 inpatient RRTs (10.8 per 1, 000 hospital-wide discharges) were activated during the 3-year postintervention period. Forty-seven percent of RRTs were activated for reasons of clinical judgment. Hospital-wide mortality decreased from 15.50 to 13.74 deaths per 1, 000 discharges after RRT implementation (relative risk, 0.887; 95% confidence interval (CI), 0.817 to 0.963; P = 0.004). After adjusting for inpatient mortality trends over time, the reduction in hospital-wide mortality remained statistically significant (relative risk, 0.825; 95% CI, 0.694 to 0.981; P = 0.029). Out-of-ICU mortality decreased from 7.08 to 4.61 deaths per 1, 000 discharges (relative risk, 0.651; 95% CI, 0.570 to 0.743; P < 0.001). Out-of-ICU cardiopulmonary-arrest codes decreased from 3.28 to 1.62 codes per 1, 000 discharges (relative risk, 0.493; 95% CI, 0.399 to 0.610; P < 0.001). CONCLUSIONS: Implementation of an RRT in which clinical judgment, in addition to vital-signs criteria, was widely cited as a rationale for activation, was associated with a significant reduction in hospital-wide mortality, out-of-ICU mortality, and out-of-ICU cardiopulmonary-arrest codes. The frequent use of clinical judgment as a criterion for RRT activation was associated with high RRT utilization.


Subject(s)
Hospital Mortality , Hospital Rapid Response Team , Adult , Chi-Square Distribution , Cohort Studies , Female , Heart Arrest/mortality , Heart Arrest/therapy , Hospital Rapid Response Team/organization & administration , Hospitals, Teaching/organization & administration , Hospitals, Teaching/statistics & numerical data , Humans , Male , New York City , Poisson Distribution , Risk
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