National Healthcare Quality and Disparities Report
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Topics
- Adverse Events (7)
- Cancer (1)
- Cardiovascular Conditions (2)
- Central Line-Associated Bloodstream Infections (CLABSI) (1)
- Children/Adolescents (4)
- Clinical Decision Support (CDS) (2)
- Clostridium difficile Infections (1)
- Complementary and Alternative Medicine (1)
- COVID-19 (1)
- Decision Making (1)
- Digestive Disease and Health (1)
- Elderly (2)
- Electronic Health Records (EHRs) (2)
- Emergency Department (1)
- Evidence-Based Practice (2)
- Falls (5)
- Healthcare-Associated Infections (HAIs) (5)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Health Information Technology (HIT) (3)
- Health Systems (1)
- Heart Disease and Health (2)
- Hospital Discharge (2)
- Hospitalization (3)
- Hospital Readmissions (7)
- (-) Hospitals (27)
- Infectious Diseases (1)
- Injuries and Wounds (4)
- Inpatient Care (2)
- Intensive Care Unit (ICU) (1)
- Medicaid (1)
- Medical Liability (1)
- Medicare (1)
- Medication (1)
- Methicillin-Resistant Staphylococcus aureus (MRSA) (1)
- Mortality (4)
- Outcomes (3)
- Patient-Centered Outcomes Research (2)
- Patient Safety (7)
- Practice Patterns (1)
- Prevention (4)
- Public Health (1)
- Quality Improvement (2)
- Quality Indicators (QIs) (1)
- Quality of Care (4)
- (-) Risk (27)
- Sepsis (4)
- Surgery (5)
- Tools & Toolkits (1)
- Transitions of Care (3)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 27 Research Studies DisplayedRay M, Zhao S, Wang S
Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation.
This study’s goal was to see if using hierarchical group lasso regularization (HGLR) improved hospital quality risk adjustment (RA) models. The authors analyzed patient discharge de-identified data from 14 State Inpatient Databases, AHRQ Healthcare Cost and Utilization Project, California Department of Health Care Access and Information, and New York State Department of Health. They used HGLR to identify first-order interactions in several AHRQ inpatient quality indicators (IQI) - IQI 09 (Pancreatic Resection Mortality Rate), IQI 11 (Abdominal Aortic Aneurysm Repair Mortality Rate), and Patient Safety Indicator 14 (Postoperative Wound Dehiscence Rate). These RA models were compared with stratum-specific and composite main effects models with covariates selected by least absolute shrinkage and selection operator (LASSO). HGLR identified clinical meaning interactions for all models, with model performance similar or superior for composite models with HGLR-selected features, compared to those with LASSO-selected features. HGLR was found to be scalable to handle a large number of covariates and their interactions and is customizable to use multiple CPU cores to reduce analysis time.
AHRQ-funded; 290201200003I.
Citation: Ray M, Zhao S, Wang S .
Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation.
BMC Health Serv Res 2023 Dec 15; 23(1):1419. doi: 10.1186/s12913-023-10423-9..
Keywords: Quality of Care, Hospitals, Risk
Aswani MS, Roberts ET
Social risk adjustment in the hospital readmission reduction program: pitfalls of peer grouping, measurement challenges, and potential solutions.
The objective of this study was to investigate the limitations of peer grouping and associated challenges in the measurement of social risk in Medicare's Hospital Readmission Reduction Program (HRRP). Public data on hospitals in the HRRP were used to examine the relationship between hospital dual share and readmission rates within peer groups as well as changes in hospital peer group assignments, readmission rates, and penalties, and the relationship between state Medicaid eligibility rules and peer groups. The findings indicated that peer grouping is limited in the extent to which it accounts for differences in hospitals' patient populations. The authors concluded that problems arise from the construction of peer groups and the measure of social risk used to define them.
AHRQ-funded; HS026727.
Citation: Aswani MS, Roberts ET .
Social risk adjustment in the hospital readmission reduction program: pitfalls of peer grouping, measurement challenges, and potential solutions.
Health Serv Res 2023 Feb; 58(1):51-59. doi: 10.1111/1475-6773.13969..
Keywords: Hospital Readmissions, Hospitals, Risk
Herzig SJ, Rothberg MB, Moss CR
Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patients.
This study investigated the risk of in-hospital falls among patients receiving medications commonly used for insomnia. This retrospective cohort study was conducted at a large academic medical center from January 2007 to July 2013. Adults admitted for a primary psychiatric disorder were excluded. Medications of interest included benzodiazepines, non-benzodiazepine benzodiazepine receptor agonists, trazodone, atypical antipsychotics, and diphenhydramine. Among 225,498 hospitalizations, 37.7% had exposure to at least one of the medication classes of interest with benzodiazepines being the most commonly prescribed. A fall occurred in 1.1% (2,427) of hospitalizations. The rate of falls per 1,000 hospital days was greater among patients with exposure to each of the medications of interest compared to unexposed patients.
AHRQ-funded; HS026215.
Citation: Herzig SJ, Rothberg MB, Moss CR .
Risk of in-hospital falls among medications commonly used for insomnia in hospitalized patients.
Sleep 2021 Sep 13;44(9):zsab064. doi: 10.1093/sleep/zsab064..
Keywords: Falls, Medication, Adverse Events, Risk, Hospitals
Cabral SM, Goodman KE, Blanco N
Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record.
This study’s objective was to determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. Adult patients admitted to 3 hospitals in Maryland from 2016 to 2018 were included. Patients with comorbid conditions were assigned using the Elixhauser comorbidity index. Standardized infection rates (SIRs) were computed using current CDC risk adjustment methodology and included the addition of Elixhauser score and individual comorbidities. Hospital 1 had 314 (0.65%) of patients with a HO-CDI, Hospital 2 had 41 (0.47%) with a HO-CDI, and Hospital 3 had 75 (0.26%) with a HO-CDI. Elixhauser score in multivariable regression was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic user, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospitals 1 and 2. Including the Elixhauser score in the risk adjustment model was statistically significant.
AHRQ-funded; HS022291.
Citation: Cabral SM, Goodman KE, Blanco N .
Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record.
Infect Control Hosp Epidemiol 2021 Aug;42(8):955-61. doi: 10.1017/ice.2020.1344..
Keywords: Clostridium difficile Infections, Healthcare-Associated Infections (HAIs), Hospitals, Risk
Ye S, Hiura G, Fleck E
Hospital readmissions after implementation of a discharge care program for patients with COVID-19 illness.
The surge of coronavirus 2019 (COVID-19) hospitalizations in New York City required rapid discharges to maintain hospital capacity. The objective of this study was to determine whether lenient provisional discharge guidelines with remote monitoring after discharge resulted in safe discharges home for patients hospitalized with COVID-19 illness. The investigators found that lenient discharge criteria in conjunction with remote monitoring after discharge were associated with a rate of early readmissions after COVID-related hospitalizations that was comparable to the rate of readmissions after other reasons for hospitalization before the COVID pandemic.
AHRQ-funded; HS024262; HS025198.
Citation: Ye S, Hiura G, Fleck E .
Hospital readmissions after implementation of a discharge care program for patients with COVID-19 illness.
J Gen Intern Med 2021 Mar;36(3):722-29. doi: 10.1007/s11606-020-06340-w..
Keywords: COVID-19, Hospital Discharge, Hospital Readmissions, Hospitals, Public Health, Hospitalization, Risk
Marafino BJ, Schuler A, Liu VX
Predicting preventable hospital readmissions with causal machine learning.
This study’s goal was to assess the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention called the Transitions Program, which used electronic health records from Kaiser Permanent Northern California (KPNC). A total of 1,539,285 index hospitalizations meeting the inclusion criteria and occurring between June 2010 and December 2010 at 21 KPNC hospitals were analyzed. There was substantial heterogeneity in patients’ response to the intervention, with patients at somewhat lower risk appearing to have the largest predicted effects. The estimates appeared to be well calibrated. The results did suggest a mismatch between risk and treatment effects.
AHRQ-funded; HS022192.
Citation: Marafino BJ, Schuler A, Liu VX .
Predicting preventable hospital readmissions with causal machine learning.
Health Serv Res 2020 Dec;55(6):993-1002. doi: 10.1111/1475-6773.13586..
Keywords: Hospital Readmissions, Hospitals, Clinical Decision Support (CDS), Risk
Reeder B, Makic MBF, Morrow C
AHRQ Author: Rodrick D
Design and evaluation of low-fidelity visual display prototypes for multiple hospital-acquired conditions.
Hospital-acquired conditions such as catheter-associated urinary tract infection, stage 3 or 4 hospital-acquired pressure injury, and falls with injury are common, costly, and largely preventable. This study used participatory design methods to design and evaluate low-fidelity prototypes of clinical dashboards to inform high-fidelity prototype designs to visualize integrated risks based on patient profiles.
AHRQ-authored; AHRQ-funded; 233201500025I; 23337003T.
Citation: Reeder B, Makic MBF, Morrow C .
Design and evaluation of low-fidelity visual display prototypes for multiple hospital-acquired conditions.
Comput Inform Nurs 2020 Nov;38(11):562-71. doi: 10.1097/cin.0000000000000668..
Keywords: Healthcare-Associated Infections (HAIs), Adverse Events, Risk, Hospitals, Prevention
Saleh SN, Makam AN, Halm EA,
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8-30 days). In this study, the investigators assessed how well a previously validated 30-day EHR-based readmission model predicted 7-day readmissions and compared differences in strength of predictors. They suggested that improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.
AHRQ-funded; HS022418.
Citation: Saleh SN, Makam AN, Halm EA, .
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
BMC Med Inform Decis Mak 2020 Sep 15;20(1):227. doi: 10.1186/s12911-020-01248-1..
Keywords: Hospital Readmissions, Hospitals, Risk, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Lindell RB, Nishisaki A, Weiss SL
Risk of mortality in immunocompromised children with severe sepsis and septic shock.
This study’s objective was to assess the risk of mortality for immunocompromised children admitted to the hospital with septic shock or sepsis. This retrospective multicenter cohort study used eighty-three centers in the Virtual Pediatric systems database. The cohort included children admitted to the pediatric intensive care unit (PICU) with severe sepsis or septic shock from 2012-2016. Across 83 centers, 10,768 PICU admissions with an International Classification of Diseases, 9th Revision, Clinical Modification code for severe sepsis or septic shock were identified; with 3,021 of these patients (28%) having an immunocompromised diagnosis. PICU mortality rates varied widely by center, and those centers with a higher mean number of sepsis patients per month in a center had a lower PICU mortality rate. Multiple prior malignancies, hemophagocytic lymphohistiocytosis, congenital immunodeficiency, and hematopoietic cell transplant are conditions independently associated with an increased odds of PICU mortality in children with severe sepsis or septic shock.
AHRQ-funded; HS024511; HS026939; HS021583; HS022464.
Citation: Lindell RB, Nishisaki A, Weiss SL .
Risk of mortality in immunocompromised children with severe sepsis and septic shock.
Crit Care Med 2020 Jul;48(7):1026-33. doi: 10.1097/ccm.0000000000004329..
Keywords: Children/Adolescents, Mortality, Sepsis, Risk, Intensive Care Unit (ICU), Hospitalization, Hospitals
Pruitt LCC, Skarda DE, Rollins MD
Hirschsprung-associated enterocolitis in children treated at US children's hospitals.
The incidence of and risk factors for Hirschsprung's-associated enterocolitis (HAEC) following pull-through have been limited to single institutions studies. In this retrospective cohort study, the investigators characterized the incidence of, risk factors for, and consequences of post-operative HAEC. The investigators concluded that HAEC following pull-through occurs in a large proportion of infants with HD and predicts reoperation. They suggest that multicenter studies are needed to develop prediction models and treatment protocols for HAEC.
AHRQ-funded; HS025776.
Citation: Pruitt LCC, Skarda DE, Rollins MD .
Hirschsprung-associated enterocolitis in children treated at US children's hospitals.
J Pediatr Surg 2020 Mar;55(3):535-40. doi: 10.1016/j.jpedsurg.2019.10.060.
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Keywords: Children/Adolescents, Digestive Disease and Health, Surgery, Adverse Events, Risk, Hospitals
Arbaje AI, Werner NE, Kasda EM
Learning from lawsuits: using malpractice claims data to develop care transitions planning tools.
This study used malpractice claims data to evaluate safety risks during care transitions from hospital to home and to help develop care transitions planning tools and pilot test them. The authors analyzed closed malpractice claims for 230 adult patients discharged from 4 hospital sites. Two structured focus groups were also conducted for stakeholders to review concerns. This led to the development of two care transitions planning tools – one for patients/caregivers and one for healthcare providers. Feasibility on 53 patient discharges were tested for both tools. A total of 33 risk factors corresponding to hospital work system elements, care transitions processes, and care outcomes were found using qualitative analysis. Providers found the tool easy to use and patients felt the length and response of the tool was acceptable.
AHRQ-funded; HS022916; HS019519.
Citation: Arbaje AI, Werner NE, Kasda EM .
Learning from lawsuits: using malpractice claims data to develop care transitions planning tools.
J Patient Saf 2020 Mar;16(1):52-57. doi: 10.1097/pts.0000000000000238.
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Keywords: Medical Liability, Transitions of Care, Risk, Hospital Discharge, Hospitals, Patient Safety
Scott HF, Colborn KL, Sevick CJ
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
The purpose of this observational cohort study was to derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. The investigators concluded that their model estimated the risk of septic shock in children at hospital arrival earlier than existing models. They indicate it leveraged the predictive value of routine electronic health record data through a modern predictive algorithm and suggest it has the potential to enhance clinical risk stratification in the critical moments before deterioration.
AHRQ-funded; HS025696.
Citation: Scott HF, Colborn KL, Sevick CJ .
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
J Pediatr 2020 Feb;217:145-51.e6. doi: 10.1016/j.jpeds.2019.09.079..
Keywords: Children/Adolescents, Sepsis, Emergency Department, Hospitals, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Dworsky JQ, Childers CP, Gornbein J
Hospital experience predicts outcomes after high-risk geriatric surgery.
This study examined if there an association between a hospital’s annual volume of high-risk geriatric surgery and their risk of inpatient mortality, postoperative length of stay, and discharge to nursing facility. Using the 2014 National Inpatient Sample, older adults were identified who had undergone high-risk geriatric surgery. There were an estimated 514,950 hospital encounters at 3,115 hospitals undergoing surgery. A higher proportion of high-risk geriatric surgery patients was associated with decreased mortality and shorter postoperative length of stay. Higher volume hospitals were not associated with mortality but was associated with longer length of stay and decreased discharge to nursing facilities.
AHRQ-funded; HS000046; HS025079.
Citation: Dworsky JQ, Childers CP, Gornbein J .
Hospital experience predicts outcomes after high-risk geriatric surgery.
Surgery 2020 Feb;167(2):468-74. doi: 10.1016/j.surg.2019.07.026..
Keywords: Healthcare Cost and Utilization Project (HCUP), Elderly, Surgery, Risk, Hospitals, Outcomes, Mortality
Venema DM, Skinner AM, Nailon R
Patient and system factors associated with unassisted and injurious falls in hospitals: an observational study.
Unassisted falls are more likely to result in injury than assisted falls. However, little is known about risk factors for falling unassisted. Furthermore, rural hospitals, which care for a high proportion of older adults, are underrepresented in research on hospital falls. This study identified risk factors for unassisted and injurious falls in rural hospitals.
AHRQ-funded; HS021429.
Citation: Venema DM, Skinner AM, Nailon R .
Patient and system factors associated with unassisted and injurious falls in hospitals: an observational study.
BMC Geriatr 2019 Dec 11;19(1):348. doi: 10.1186/s12877-019-1368-8..
Keywords: Falls, Injuries and Wounds, Patient Safety, Elderly, Risk, Hospitals, Adverse Events
Sheetz KH, Dimick JB, Nathan H
Centralization of high-risk cancer surgery within existing hospital systems.
Centralization is often proposed as a strategy to improve the quality of certain high-risk health care services. In this study, the investigators evaluated the extent to which existing hospital systems centralize high-risk cancer surgery and whether centralization is associated with short-term clinical outcomes. The investigators concluded that greater centralization of complex cancer surgery within existing hospital systems was associated with better outcomes.
AHRQ-funded; HS023597.
Citation: Sheetz KH, Dimick JB, Nathan H .
Centralization of high-risk cancer surgery within existing hospital systems.
J Clin Oncol 2019 Dec 1;37(34):3234-42. doi: 10.1200/jco.18.02035..
Keywords: Surgery, Cancer, Risk, Hospitals, Health Systems, Quality Improvement, Quality Indicators (QIs), Quality of Care, Outcomes
Goldstone AB, Chiu P, Baiocchi M
Interfacility transfer of Medicare beneficiaries with acute type a aortic dissection and regionalization of care in the United States.
Researchers investigated the hypothesis that regionalizing care at high-volume hospitals for acute type A aortic dissections will lower mortality. Operative mortality and long-term survival were compared for Medicare beneficiaries diagnosed with an acute type A aortic dissection who were transferred versus not transferred, underwent surgery at high-volume versus low-volume hospitals, and were rerouted versus not rerouted to a high-volume hospital for treatment. The researchers found that, despite delaying surgery, a regionalization policy that transfers patients to high-volume hospitals was associated with a 7.2% absolute risk reduction in operative mortality. They recommended that policymakers evaluate the feasibility and benefits of regionalizing the surgical treatment of acute type A aortic dissection in the United States.
AHRQ-funded; HS022192.
Citation: Goldstone AB, Chiu P, Baiocchi M .
Interfacility transfer of Medicare beneficiaries with acute type a aortic dissection and regionalization of care in the United States.
Circulation 2019 Oct 8;140(15):1239-50. doi: 10.1161/circulationaha.118.038867..
Keywords: Transitions of Care, Medicare, Heart Disease and Health, Cardiovascular Conditions, Patient-Centered Outcomes Research, Risk, Evidence-Based Practice, Mortality, Hospitals
Jones KJ, Skinner A, Venema D
Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.
Researchers evaluated the implementation and outcomes of evidence-based fall-risk-reduction processes when those processes are implemented using a multiteam system (MTS) structure. They found that multiteam systems that effectively coordinate fall-risk-reduction processes may improve the capacity of hospitals to manage the complex patient, environmental, and system factors that result in falls.
AHRQ-funded; HS024630; HS021429.
Citation: Jones KJ, Skinner A, Venema D .
Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.
Health Serv Res 2019 Oct;54(5):994-1006. doi: 10.1111/1475-6773.13186..
Keywords: Falls, Hospitals, Inpatient Care, Quality of Care, Quality Improvement, Patient Safety, Prevention, Risk
Delahanty RJ, Alvarez J, Flynn LM
Development and evaluation of a machine learning model for the early identification of patients at risk for sepsis.
In this study, the investigators aimed to use machine learning to develop a new sepsis screening tool, the Risk of Sepsis (RoS) score, and compare it with a slate of benchmark sepsis-screening tools, including the Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment (SOFA), qSOFA, Modified Early Warning Score, and National Early Warning Score. The investigators concluded that in this retrospective study, RoS was more timely and discriminant than benchmark screening tools, including those recommend by the Sepsis-3 Task Force.
AHRQ-funded; HS024750.
Citation: Delahanty RJ, Alvarez J, Flynn LM .
Development and evaluation of a machine learning model for the early identification of patients at risk for sepsis.
Ann Emerg Med 2019 Apr;73(4):334-44. doi: 10.1016/j.annemergmed.2018.11.036..
Keywords: Health Information Technology (HIT), Hospitals, Risk, Sepsis
Goodman KE, Simner PJ, Klein EY
How frequently are hospitalized patients colonized with carbapenem-resistant
This study evaluated whether hospitalized patients who tested positive for carbapenem-resistant Enteriobacteriaceae (CRE) were on contact precautions so that staff and other patients would not risk transmission. Since CRE colonization at admission was infrequent, there is some risk of transmission.
AHRQ-funded; HS025089.
Citation: Goodman KE, Simner PJ, Klein EY .
How frequently are hospitalized patients colonized with carbapenem-resistant
Infect Control Hosp Epidemiol 2018 Dec;39(12):1491-93. doi: 10.1017/ice.2018.236..
Keywords: Hospitalization, Hospitals, Infectious Diseases, Prevention, Risk
Spatz ES, Wang Y, Beckman AL
Traditional Chinese medicine for acute myocardial infarction in western medicine hospitals in China.
This study examined the use of traditional Chinese medicine (TCM) in patients admitted for acute myocardial infarction (AMI) in China during the first 24 hours of hospitalization. The data came from the China Patient-centered Evaluative Assessment of Cardiac Events Retrospective Study of Acute Myocardial Infarction. A chart review was done of randomly sampled patients in 2001, 2006 and 2011 in 162 Western medicine hospitals across China. Nearly all (99%) hospitals used some form of TCM, with Salvia miltiorrhiza being the most commonly prescribed. This TCM treatment (and others) was used intravenously and use has increased over the span of the study, despite lack of evidence of benefit or harm.
AHRQ-funded; HS023000.
Citation: Spatz ES, Wang Y, Beckman AL .
Traditional Chinese medicine for acute myocardial infarction in western medicine hospitals in China.
Circ Cardiovasc Qual Outcomes 2018 Mar;11(3):e004190. doi: 10.1161/circoutcomes.117.004190..
Keywords: Adverse Events, Cardiovascular Conditions, Complementary and Alternative Medicine, Heart Disease and Health, Hospitals, Mortality, Outcomes, Patient-Centered Outcomes Research, Patient Safety, Practice Patterns, Risk
Jackson SS, Leekha S, Magder LS
The effect of adding comorbidities to current Centers for Disease Control and Prevention central-line-associated bloodstream infection risk-adjustment methodology.
The authors of this study hypothesized that risk adjustment would be improved by including patient demographics and comorbidities from electronically available hospital discharge codes to current Centers for Disease Control and Prevention central-line-associated bloodstream infection risk-adjustment methodology. They concluded that their risk-adjustment model for CLABSI using electronically available comorbidities demonstrated better discrimination than did the CDC model.
AHRQ-funded; HS022291.
Citation: Jackson SS, Leekha S, Magder LS .
The effect of adding comorbidities to current Centers for Disease Control and Prevention central-line-associated bloodstream infection risk-adjustment methodology.
Infect Control Hosp Epidemiol 2017 Sep;38(9):1019-24. doi: 10.1017/ice.2017.129..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Hospitals, Patient Safety, Risk
Dykes PC, Duckworth M, Cunningham S
Pilot testing Fall TIPS (Tailoring Interventions for Patient Safety): a patient-centered fall prevention toolkit.
Patient falls during an acute hospitalization cause injury, reduced mobility, and increased costs. The laminated paper Fall TIPS Toolkit (Fall TIPS) provides clinical decision support at the bedside by linking each patient's fall risk assessment with evidence-based interventions. The investigators examined strategies to integrate this evidence into clinical practice. They concluded that engaging hospital and clinical leadership is critical in translating evidence-based care into clinical practice. They address and detail barriers to adoption of the protocol to provide guidance for spread to other institutions.
AHRQ-funded; HS025128.
Citation: Dykes PC, Duckworth M, Cunningham S .
Pilot testing Fall TIPS (Tailoring Interventions for Patient Safety): a patient-centered fall prevention toolkit.
Jt Comm J Qual Patient Saf 2017 Aug;43(8):403-13. doi: 10.1016/j.jcjq.2017.05.002..
Keywords: Clinical Decision Support (CDS), Decision Making, Evidence-Based Practice, Falls, Hospitals, Injuries and Wounds, Inpatient Care, Patient Safety, Prevention, Risk, Tools & Toolkits
Horwitz LI, Bernheim SM, Ross JS
Hospital characteristics associated with risk-standardized readmission rates.
This national study using Medicare data examined the independent association of 8 hospital characteristics with hospital-wide 30-day risk-standardized readmission rate (RSRR). Overall, larger, urban, academic facilities had modestly higher RSRRs than smaller, suburban, community hospitals, although there was a wide range of performance. The strong regional effect suggests that local practice patterns are an important influence.
AHRQ-funded; HS022882.
Citation: Horwitz LI, Bernheim SM, Ross JS .
Hospital characteristics associated with risk-standardized readmission rates.
Med Care 2017 May;55(5):528-34. doi: 10.1097/mlr.0000000000000713.
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Keywords: Hospitals, Hospital Readmissions, Medicaid, Risk, Quality of Care
McLeod L, Flynn J, Erickson M
Variation in 60-day readmission for surgical-site infections (SSIs) and reoperation following spinal fusion operations for neuromuscular scoliosis.
The purpose of this study was to examine variation in hospital performance based on risk-standardized 60-day readmission rates for surgical-site infection (SSIs) and reoperation across 39 US Children's Hospitals. It found that reoperations were associated with an SSI in 70 percent of cases. Across hospitals, SSI and reoperation rates ranged from 1 percent to 11 percent and 1 percent to 12 percent, respectively.
AHRQ-funded; HS022198.
Citation: McLeod L, Flynn J, Erickson M .
Variation in 60-day readmission for surgical-site infections (SSIs) and reoperation following spinal fusion operations for neuromuscular scoliosis.
J Pediatr Orthop 2016 Sep;36(6):634-9. doi: 10.1097/bpo.0000000000000495.
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Keywords: Children/Adolescents, Surgery, Healthcare-Associated Infections (HAIs), Injuries and Wounds, Adverse Events, Hospital Readmissions, Hospitals, Risk
Baker AW, Dicks KV, Durkin MJ
Epidemiology of surgical site infection in a community hospital network.
The researchers described the epidemiology of complex surgical site infection (SSI) following commonly performed surgical procedures in community hospitals and to characterize trends of SSI prevalence rates over time for MRSA and other common pathogens. They found that the prevalence of MRSA SSI decreased from 2008 to 2012. This decrease in MRSA SSI prevalence led to an overall decrease in SSI prevalence.
AHRQ-funded; HS023866.
Citation: Baker AW, Dicks KV, Durkin MJ .
Epidemiology of surgical site infection in a community hospital network.
Infect Control Hosp Epidemiol 2016 May;37(5):519-26. doi: 10.1017/ice.2016.13.
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Keywords: Surgery, Healthcare-Associated Infections (HAIs), Methicillin-Resistant Staphylococcus aureus (MRSA), Injuries and Wounds, Adverse Events, Risk, Hospitals