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5.
Prehosp Disaster Med ; 30(5): 496-502, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26369433

ABSTRACT

BACKGROUND: On October 29th, 2012, Hurricane Sandy caused a storm surge interrupting electricity with disruption to Manhattan's (New York, USA) health care infrastructure. Beth Israel Medical Center (BIMC) was the only fully functioning major hospital in lower Manhattan during and after Hurricane Sandy. The impact on emergency department (ED) and hospital use by geriatric patients in lower Manhattan was studied. METHODS: The trends of ED visits and hospitalizations in the immediate post-Sandy phase (IPS) during the actual blackout (October 29 through November 4, 2012), and the extended post-Sandy phase (EPS), when neighboring hospitals were still incapacitated (November 5, 2012 through February 10, 2013), were analyzed with baseline. The analysis was broken down by age groups (18-64, 65-79, and 80+ years old) and included the reasons for ED visits and admissions. RESULTS: During the IPS, there was a significant increase in geriatric visits (from 11% to 16.5% in the 65-79 age group, and from 6.5% to 13% in the 80+ age group) as well as in hospitalizations (from 22.7% to 25.2% in the 65-79 age group, and from 17.6% to 33.8% in the 80+ age group). However, these proportions returned to baseline during the EPS. The proportions of the categories "dialysis," "respiratory device," "social," and "syncope" in geriatric patients in ED visits were significantly higher than younger patients. The increases of the categories "medication," "dialysis," "respiratory device," and "social" represented two-thirds of absolute increase in both ED visits and admissions for the 65-79 age group, and half of the absolute increase in ED visits for the 80+ age group. The categories "social" and "respiratory device" peaked one day after the disaster, "dialysis" peaked two days after, and "medication" peaked three days after in ED visit analysis. CONCLUSIONS: There was a disproportionate increase in ED visits and hospitalizations in the geriatric population compared with the younger population during the IPS. The primary factor of the disproportionate impact on the geriatric population appears to be from indirect effects of the hurricane, mainly due to the subsequent power outages, such as "dialysis," "respiratory device," and "social." Further investigation by chart review may provide more insights to better aid with future disaster preparedness.


Subject(s)
Cyclonic Storms/statistics & numerical data , Emergency Service, Hospital/trends , Hospitalization/trends , Adolescent , Adult , Aged , Aged, 80 and over , Disaster Planning , Geriatrics , Humans , Middle Aged , New York , Retrospective Studies , Young Adult
6.
Adv Skin Wound Care ; 25(3): 115-7, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22343598

ABSTRACT

With the aging population and increasing complexity of patients with pressure ulcers (PrUs), as well as regulatory requirements, PrUs have become an important concern for physicians. Although there are some studies that measure nurses' knowledge of PrUs, there is a paucity of literature about physician knowledge of PrUs. Given that the Centers for Medicare & Medicaid Services is holding physicians accountable for documenting PrU status on admission to hospitals and the increased need for collaboration with revisions to long-term-care documentation MDS 3.0: Skin Condition, physicians' knowledge regarding PrUs takes on new urgency. This study reports on PrU knowledge of physicians using 2 tools: the Pieper Pressure Ulcer Knowledge Tool and a wound photograph test. Physicians' mean scores of 69% on the Pieper Tool were well below average scores of nurses' 76%. Physicians had greatest difficulty identifying suspected deep tissue injury and unstageable ulcers. Pressure ulcer content, including prevention, identification, staging, and treatment, needs to be included in physician education.


Subject(s)
Clinical Competence , Internship and Residency , Practice Patterns, Physicians' , Pressure Ulcer/therapy , Aged , Geriatrics/education , Humans , New York City , Pressure Ulcer/diagnosis , United States
7.
Int J Geriatr Psychiatry ; 25(10): 1022-9, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20661879

ABSTRACT

OBJECTIVE: To describe clinical associations of delirium in hospitalized patients and relationships to on admission presentation. DESIGN: Retrospective analysis of an administrative hospitalization database 1998-2007. SETTING: Acute care hospitalizations in the New York State (NYS). MEASUREMENTS: Four categories of diagnosis related group (DRG) hospitalizations were extracted from a NYS administrative database: pneumonia, congestive heart failure, urinary tract/kidney infection (UTI), and lower extremity orthopedic surgery (LEOS) DRGs. These hospitalizations were examined for clinical associations with delirium coding both on and after admission. RESULTS: Delirium was coded in 0.8% of the cohort, of which an on admission diagnosis was present in 59%. On admission delirium was strongly associated with dementia (adjusted odds ratio 0, 95%CI 5.8-6.3) and with adverse drug effects (ADEs) (adjusted odds ratio 4.6, 95%CI 4.3, 5.0). After admission delirium was even more highly associated with ADEs (adjusted odds ratio 22.2, 95%CI 20.7-23.7). The UTI DRG category had the greatest proportion of on admission delirium. However after admission delirium was more common in the LEOS DRG category. Over time, there was a greater increase in delirium proportions in the UTI DRG category, and an overall increase in coding for encephalopathy states (potential alternative delirium descriptors). CONCLUSION: ADEs play an important role in delirium regardless of whether or not it is present on admission. While the finding that most delirium hospitalizations presented on admission suggests that delirium impacts more as a clinical admitting determinant, in-hospital prevention strategies may still have benefit in targeted settings where after admission delirium is more frequent, such as patients with LEOS.


Subject(s)
Delirium/epidemiology , Patient Admission/statistics & numerical data , Age Factors , Aged , Aged, 80 and over , Cohort Studies , Delirium/diagnosis , Drug-Related Side Effects and Adverse Reactions/complications , Female , Heart Failure/complications , Humans , Lower Extremity/surgery , Male , Multivariate Analysis , New York/epidemiology , Orthopedics/statistics & numerical data , Retrospective Studies , Urologic Diseases/complications
8.
Drugs Aging ; 27(1): 51-61, 2010 Jan 01.
Article in English | MEDLINE | ID: mdl-20030432

ABSTRACT

BACKGROUND: The incidence and pattern of delirium recorded in a broad spectrum of American hospitalizations has not been well described. The National Inpatient Sample (NIS) of the Healthcare Cost and Utilization Project is an administrative database of hospitalizations in the US that affords an opportunity to examine for International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) codes relating to delirium. OBJECTIVE: To examine the prevalence of delirium diagnoses and associated clinical factors, including adverse drug effects, in a broad spectrum of hospitalizations in the US. Delirium was grouped into three categories: drug-induced delirium, dementia-associated delirium, and non-dementia, non-drug (NDND). METHODS: Hospitalizations during the years 1998-2005 in the NIS databases were examined. These databases represent samples of hospitalizations that allow for national prevalence estimates. ICD-9 codes for drug-induced, dementia-associated and NDND delirium were identified in the hospitalizations for each year. Delirium tremens was not considered in this classification, and paediatric and psychiatric admissions were excluded. Yearly prevalence for drug-induced, dementia-associated and NDND delirium were tabulated, and time trends were analysed with negative binomial regression. A hospitalization subset cohort with urinary tract/kidney infection, pneumonia, heart failure and lower extremity orthopaedic surgery diagnosis-related group categories was also analysed for clinical associations with the presence of the three categories of delirium using multinomial logistic regression. ICD-9 E codes (external causes of injury) constituting adverse drug effects were identified and considered as clinical predictors. RESULTS: Delirium was recorded in 1 269 185 (0.54%) non-psychiatric adult hospitalizations during the study years. Whereas the overall prevalence of dementia-associated delirium and NDND delirium decreased over time, drug-induced delirium prevalence increased (p < 0.0001). As expected, the presence of dementia and adverse drug effects had the strongest associations with dementia-associated and drug-induced delirium, respectively, in the cohort hospitalizations. CONCLUSIONS: Drug-induced delirium and NDND delirium had the strongest associations with lower extremity orthopaedic surgery hospitalizations and urinary tract/kidney infection hospitalizations, respectively. Among the NDND co-morbid conditions, volume depletion and sodium imbalance had the strongest, albeit modest, associations with delirium. The association between decade of age and delirium was strongest for NDND delirium (adjusted odds ratio 1.53; 95% CI 1.52, 1.53), but age had significant associations with drug-induced and dementia-associated delirium as well. In the cohort, the most frequent adverse effects codes were for opioids and for benzodiazepines or other sedatives, which were noted in 21.3% and 15.2% of drug-induced delirium hospitalizations, respectively. Drug-induced delirium is being increasingly identified in hospitalized patients. Administrative hospitalization databases constitute a resource to explore factors and trends associated with delirium. The findings suggest that interventions focusing on adverse drug effects have the greatest potential for preventing delirium.


Subject(s)
Cost of Illness , Delirium/economics , Dementia/complications , Hospitalization/economics , Incidence , Inpatients/statistics & numerical data , Adult , Cardiovascular Diseases , Clinical Laboratory Techniques , Databases, Factual , Delirium/chemically induced , Delirium/classification , Delirium/epidemiology , Dementia/chemically induced , Diagnosis-Related Groups , Humans , Insurance Claim Review , International Classification of Diseases , Length of Stay , Logistic Models , Practice Guidelines as Topic , Practice Patterns, Physicians' , Research , United States/epidemiology
9.
Care Manag J ; 10(3): 100-9, 2009.
Article in English | MEDLINE | ID: mdl-19772207

ABSTRACT

OBJECTIVES: Describe and evaluate a method for assessing whether physical restraint prevalence differs by timing and frequency of data collection and to determine the minimum period of observation necessary to provide accurate prevalence estimates on both Intensive Care Unit (ICU) and medical-surgical units. DESIGN: Two-period, cross-sectional design with repeated observations in year 1 for 18 consecutive days and in year 2 for 21 consecutive days with method modifications. SETTING: 400-bed urban teaching hospital. PARTICIPANTS: All beds on general medical, surgical, and intensive care units. MEASUREMENT: Direct observation of patients, nurse interview, and medical record review conducted by trained observers. RESULTS: There were no significant differences in mean restraint use prevalence rates comparing: (a) morning and evening periods; (b) weekdays and weekend days; and (c) observation periods of 7, 14, or 21 consecutive days or for 7 days using every 3rd day on either medical-surgical units or ICUs. Analyses using data from an increasing number of days of observation indicates that the mean prevalence rate stabilizes after 16 days. There were larger mean differences for comparisons on ICU-ventilator units and lack of significant differences may be due to low statistical power. CONCLUSION: Direct observation by trained observers, supplemented by nurse report and medical record documentation over brief monitoring periods, results in accurate, nonintrusive, cost-efficient estimates of physical restraint prevalence. As few as seven consecutive or nonconsecutive days in measuring restraint prevalence is sufficient to obtain accurate estimates, although the number of days may vary depending on patient mix and unit type.


Subject(s)
Intensive Care Units/statistics & numerical data , Restraint, Physical/statistics & numerical data , Surgery Department, Hospital/statistics & numerical data , Cross-Sectional Studies , Hospitals, Teaching , Humans , Prevalence , Respiration, Artificial , Time Factors
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