scholarly journals Healthcare-Associated Infection and Hospital Readmission

2012 ◽  
Vol 33 (6) ◽  
pp. 539-544 ◽  
Author(s):  
Carley B. Emerson ◽  
Lindsay M. Eyzaguirre ◽  
Jennifer S. Albrecht ◽  
Angela C. Comer ◽  
Anthony D. Harris ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Tertiary Care ◽  
Culture Result ◽  
Healthcare Associated Infection ◽  
Increased Risk ◽  
Clinical Culture ◽  
Healthcare Associated ◽  
Culture Positive

Objective.Hospital readmissions are a current target of initiatives to reduce healthcare costs. This study quantified the association between having a clinical culture positive for 1 of 3 prevalent hospital-associated organisms and time to hospital readmission.Design.Retrospective cohort study.Patients and Setting.Adults admitted to an academic, tertiary care referral center from January 1, 2001, through December 31, 2008.Methods.The primary exposure of interest was a clinical culture positive for methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), or Clostridium difficile obtained more than 48 hours after hospital admission during the index hospital stay. The primary outcome of interest was time to readmission to the index facility. Multivariable Cox proportional hazards models were used to model the adjusted association between positive clinical culture result and time to readmission and to calculate hazard ratios (HRs) and 95% confidence intervals (CIs).Results.Among 136,513 index admissions, the prevalence of hospital-associated positive clinical culture result for 1 of the 3 organisms of interest was 3%, and 35% of patients were readmitted to the index facility within 1 year after discharge. Patients with a positive clinical culture obtained more than 48 hours after hospital admission had an increased hazard of readmission (HR, 1.40; 95% CI, 1.33–1.46) after adjusting for age, sex, index admission length of stay, intensive care unit stay, Charlson comorbidity index, and year of hospital admission.Conclusions.Patients with healthcare-associated infections may be at increased risk of hospital readmission. These findings may be used to impact health outcomes after discharge from the hospital and to encourage better infection prevention efforts.

scholarly journals The Contribution of Pharmacogenetic Drug Interactions to 90-Day Hospital Readmissions: Preliminary Results from a Real-World Healthcare System

2021 ◽  
Author(s):  
Sean P David ◽  
Lavisha Singh ◽  
Jaclyn Pruitt ◽  
Andrew Hensing ◽  
Peter Hulick ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Hospital Admission ◽  
Drug Interactions ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Day Hospital ◽  
Increased Risk ◽  
Study Population ◽  
The Relationship ◽  
Univariate Analyses

Clinical Pharmacogenomics Implementation Consortium (CPIC) guidelines exist for many medications commonly prescribed prior to hospital discharge, yet there is limited data regarding the contribution of gene-x-drug interactions to hospital readmissions. The present study evaluated the relationship between prescription of CPIC medications prescribed within 30 days of hospital admission and 90-day hospital readmission from 2010-2020 in a study population (N=10,104) who underwent sequencing with a 14-gene pharmacogenetic panel. The presence of at least one pharmacogenetic indicator for a medication prescribed within 30 days of hospital admission was considered a gene-x-drug interaction. Multivariable logistic regression analyzed the association between one or more gene-x-drug interactions with 90-day readmission. There were 2,211/2,354 (93.9%) admitted patients who were prescribed at least one CPIC medication. Univariate analyses indicated that the presence of at least one identified gene-x-drug interaction increased risk of 90-day readmission by more than 40% (OR=1.42, 95% confidence interval (CI) 1.09-1.84)(p=0.01). A multivariable model adjusting for age, race, sex, employment status, body mass index, and medical conditions, slightly attenuated the effect (OR=1.33, 95% CI 1.02-1.75)(p=0.04). Our results suggest that the presence of one or more CPIC gene-x-drug interactions increases the risk of 90-day hospital readmission, even after adjustment for demographic and clinical risk factors.

scholarly journals Incidence of healthcare associated infection in the surgical ICU of a tertiary care hospital

2013 ◽  
Vol 69 (2) ◽  
pp. 124-129 ◽  
Author(s):  
Shivinder Singh ◽  
R. Chaturvedi ◽  
S.M. Garg ◽  
Rashmi Datta ◽  
Ambikesh Kumar
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Healthcare Associated Infection ◽  
Surgical Icu ◽  
Healthcare Associated

Individual and Organizational Factors Associated With Hospital Readmission Rates: Evidence From a U.S. National Sample

2019 ◽  
Vol 39 (10) ◽  
pp. 1153-1158 ◽  
Author(s):  
Kyaien O. Conner ◽  
Hongdao Meng ◽  
Victoria Marino ◽  
Timothy L. Boaz
Keyword(s):  
Hospital Readmission ◽  
Chronic Conditions ◽  
Transitional Care ◽  
Hospital Readmissions ◽  
Severity Of Illness ◽  
Organizational Factors ◽  
The United States ◽  
Multiple Chronic Conditions ◽  
Important Indicator ◽  
Increased Risk

Objective: Hospital readmission rate is an important indicator for assessing quality of care in the acute and postacute settings. Identifying factors that increase risk for hospital readmissions can aid in the recognition of potential targets for quality improvement efforts. The main objective of this brief report was to examine the factors that predict increased risk of 30-day readmissions. Method: We analyzed data from the 2013 National Readmission Database (NRD). Results: The main factors that predicted increased risk of 30-day readmission were number of chronic conditions, severity of illness, mortality risk, and hospital ownership. Unexpectedly, discharge from a for-profit hospital was associated with greater risk for hospital readmission in the United States. Discussion and Conclusion: These findings suggest that patients with severe physical illness and multiple chronic conditions should be the primary targets for hospital transitional care interventions to help reduce the rate of unnecessary hospital readmissions.

What Factors Predict Hospital Readmission after Colorectal Surgery?

2016 ◽  
Vol 82 (5) ◽  
pp. 433-438 ◽  
Author(s):  
Basem Almussallam ◽  
Maurice Joyce ◽  
Peter W. Marcello ◽  
Patricia L. Roberts ◽  
Todd D. Francone ◽  
...  
Keyword(s):  
Colorectal Surgery ◽  
Hospital Readmission ◽  
Tertiary Care ◽  
Ileoanal Pouch ◽  
Total Proctocolectomy ◽  
Care Hospital ◽  
Stoma Creation ◽  
Increased Risk ◽  
Financial Concern ◽  
High Comorbidity

Readmissions pose a significant hardship for patients and constitute a major quality and financial concern for hospitals. We sought to define risk factors associated with hospital readmission after colorectal surgery at a tertiary care hospital. We evaluated readmission among all patients who underwent a colorectal surgical procedure between July 16, 2007 and June 30, 2011. In a cohort of 4879 operative encounters, 492 (10%) were readmitted to the hospital within 30 days of discharge. Procedures with highest readmissions included stoma creation (22%), ileoanal pouch surgery (22%), and total proctocolectomy (30%). In multivariate analysis, the following variables were associated with risk of readmission: postoperative complication, use of anxiolytics, high comorbidity score, patient setting, alcohol use, and stoma creation. Surgeon of record was not associated with readmission. In conclusion, several patient, procedural, and postoperative factors were associated with an increased risk of readmission. Considerably high rates of readmission were noted after stoma creation, ileoanal pouch procedures, and proctocolectomy. Surgeon of record was not associated with risk of read-mission, indicating little value to this metric as a physician-specific indicator of quality.

Epidemiology of Enterococci in a Neonatal Intensive Care Unit

2008 ◽  
Vol 29 (4) ◽  
pp. 374-376 ◽  
Author(s):  
Jennifer Duchon ◽  
Philip Graham ◽  
Phyllis Della-Latta ◽  
Susan Whittier ◽  
Diane Carp ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Culture Result ◽  
Vancomycin Resistant Enterococci ◽  
Single Culture ◽  
Clinical Culture ◽  
Vancomycin Resistant ◽  
Culture Positive

We performed an epidemiological investigation of a 62-bed neonatal intensive care unit in response to 2 infants with clinical cultures positive for vancomycin-resistant enterococci (VRE). Surveillance cultures detected 11 infants colonized with VRE. Surveillance triggered by even a single clinical culture positive for VRE may be justified in the neonatal intensive care unit, because a single culture result may represent a large hidden reservoir of VRE-colonized infants.

Prevalence of Cognitive Impairment Among Elderly Patients Upon Hospital Admission Using Mini-Cog™ Assessments Performed by Advanced Pharmacy Practice Experience Students

2018 ◽  
Vol 33 (1) ◽  
pp. 21-29 ◽  
Author(s):  
Nghi (Andy) Bui ◽  
Mobolaji Adeola ◽  
Rejena Azad ◽  
Joshua T. Swan ◽  
Kathryn S. Agarwal ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Hospital Admission ◽  
Patient Outcomes ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Pharmacy Practice ◽  
Pharmacy Students ◽  
Day Hospital ◽  
Practice Experience

Background: Older adults with cognitive impairment may have difficulty understanding and complying with medical or medication instructions provided during hospitalization which may adversely impact patient outcomes. Objective: To evaluate the prevalence of cognitive impairment among patients aged 65 years and older within 24 hours of hospital admission using Mini-Cog™ assessments performed by advanced pharmacy practice experience (APPE) students. Methods: Students on APPE rotations were trained to perform Mini-Cog™ assessments during routine medication education sessions from February 2017 to April 2017. The primary end point was the prevalence of cognitive impairment indicated by a Mini-Cog™ score of ≤3. Secondary end points were the average number of observed Mini-Cog™ practice assessments required for APPE students to meet competency requirements, caregiver identification, and 30-day hospital readmissions. Results: Twelve APPE students completed the training program after an average of 4.4 (standard deviation [SD] = 1.0) graded Mini-Cog™ assessments. Of the 1159 admissions screened, 273 were included in the analysis. The prevalence of cognitive impairment was 55% (n = 149, 95% confidence interval [CI]: 48%-61%). A caregiver was identified for 41% (n = 113, 95% CI: 35%-47%) of patients, and 79 patients had a caregiver present at bedside during the visit. Hospital readmission within 30 days of discharge was 15% (n = 41, 95% CI: 11%-20%). Conclusion: Cognitive impairment could substantially impair a patient’s ability to comprehend education provided during hospitalization. Pharmacy students can feasibly perform Mini-Cog™ assessments to evaluate cognitive function, thereby allowing them to tailor education content and involve caregivers when necessary.

scholarly journals The HOSPITAL score as a predictor of 30 day readmission in a university affiliated community hospital

2016 ◽  
Author(s):  
Robert Robinson
Keyword(s):  
High Risk ◽  
Hospital Readmission ◽  
Medical Center ◽  
Hospital Readmissions ◽  
Assessment Tools ◽  
Medical Patients ◽  
Value Based Purchasing ◽  
Discriminatory Ability ◽  
Kaplan Meier ◽  
Increased Risk

Introduction Hospital readmissions are common, expensive, and a key target of the Medicare Value Based Purchasing (VBP) program. Risk assessment tools have been developed to identify patients at high risk of hospital readmission so they can be targeted for interventions aimed at reducing the rate of readmission. One such tool is the HOSPITAL score that uses 7 readily available clinical variables to predict the risk of readmission within 30 days of discharge. The HOSPITAL score has been internationally validated in large academic medical centers. This study aims to determine if the HOSPITAL score is similarly useful in a moderate sized university affiliated hospital in the midwestern United States. Materials and Methods All adult medical patients discharged from the SIU-SOM Hospitalist service from Memorial Medical Center from October 15, 2015 to March 16, 2016, were studied retrospectively to determine if the HOSPITAL score was a significant predictor of hospital readmission within 30 days. Results During the study period, 998 discharges were recorded for the SIU-SOM Hospitalist service. The analysis includes data for the 963 patients who were discharged alive. Of these patients, 118 (12%) were readmitted to the same hospital within 30 days. The patients who were readmitted were less likely to have a length of stay greater than or equal to 5 days (45% vs. 59%, p = 0.003) but were more likely to have been admitted to the hospital within the last year. A receiver operating characteristic evaluation of the HOSPITAL score for this patient population shows a C statistic of 0.762 (95% CI 0.720 - 0.805), indicating good discrimination for hospital readmission. Kaplan-Meier analysis of 30-day readmission free survival showed a significant (p < 0.001) increase in the risk of readmission in patients with a HOSPITAL score of 5 or more. Discussion This single center retrospective study indicates that the HOSPITAL score has good discriminatory ability to predict hospital readmissions within 30 days for a medical hospitalist service a university-affiliated hospital. This data for all causes of hospital readmission is comparable to the discriminatory ability of the HOSPITAL score in the international validation study (C statistics of 0.72 vs. 0.762) conducted at considerably larger hospitals (975 average beds vs 507 at Memorial Medical Center) for potentially avoidable hospital readmissions. Higher risk patients, identified as having a HOSPITAL score of 5 or more, clearly show an increased risk of hospital readmission within 30 days. Conclusions The internationally validated HOSPITAL score may be a useful tool in moderate sized community hospitals to identify patients at high risk of hospital readmission within 30 days. This easy to use scoring system using readily available data can be used as part of interventional strategies to reduce the rate of hospital readmission.

scholarly journals The Contribution of Pharmacogenetic Drug Interactions to 90-Day Hospital Readmissions: Preliminary Results from a Real-World Healthcare System

2021 ◽  
Vol 11 (12) ◽  
pp. 1242
Author(s):  
Sean P. David ◽  
Lavisha Singh ◽  
Jaclyn Pruitt ◽  
Andrew Hensing ◽  
Peter Hulick ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Hospital Admission ◽  
Drug Interactions ◽  
Hospital Readmission ◽  
Hospital Readmissions ◽  
Day Hospital ◽  
Limited Data ◽  
Study Population ◽  
The Relationship ◽  
Univariate Analyses

Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines exist for many medications commonly prescribed prior to hospital discharge, yet there are limited data regarding the contribution of gene-x-drug interactions to hospital readmissions. The present study evaluated the relationship between prescription of CPIC medications prescribed within 30 days of hospital admission and 90-day hospital readmission from 2010 to 2020 in a study population (N = 10,104) who underwent sequencing with a 14-gene pharmacogenetic panel. The presence of at least one pharmacogenetic indicator for a medication prescribed within 30 days of hospital admission was considered a gene-x-drug interaction. Multivariable logistic regression analyzed the association between one or more gene-x-drug interactions with 90-day readmission. There were 2211/2354 (93.9%) admitted patients who were prescribed at least one CPIC medication. Univariate analyses indicated that the presence of at least one identified gene-x-drug interaction increased the risk of 90-day readmission by more than 40% (OR = 1.42, 95% confidence interval (CI) 1.09–1.84) (p = 0.01). A multivariable model adjusting for age, race, sex, employment status, body mass index, and medical conditions slightly attenuated the effect (OR = 1.32, 95% CI 1.02–1.73) (p = 0.04). Our results suggest that the presence of one or more CPIC gene-x-drug interactions increases the risk of 90-day hospital readmission, even after adjustment for demographic and clinical risk factors.

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