Post-acute Care Hospitals Research Articles

Risk factors of readmission to acute care hospital among individuals with heart failure and left ventricular assist device (LVAD) at inpatient rehabilitation setting (STROBE compliant article).

In post-acute care hospital setting, the heart failure (HF) individuals with left ventricular assist device (LVAD) have about 30% of transfer to acute care hospitals which requires readmission. There is relative increase in cost and mortality due to the readmission.The goal of this study is to identify possible risk factors at Inpatient Rehabilitation Unit (IRU) to decrease the rate of readmission to acute care hospitals.This study is retrospective study at the Inpatient Rehabilitation Unit (IRU)Twenty one individuals with HF and LVAD were admitted to IRU. We determined 2 subgroups. One is the readmission group (Readmission) and the other is the control group (Control). Readmission (n = 6) is the individuals who were transferred to acute care hospital, and Control (n = 15) is the individuals who were discharged.To compare Readmission group with Control group and evaluate demographic, laboratory, and functional outcome parameters. Main Outcome Measures are Body Mass Index (BMI), International Normalized Ratio (INR), and Functional independence measure (FIM).At admission, INR in Readmission group was 3.4 ± 1.2 and in Control group was 2.2 ± 0.5 with a statistically significant p value (P = .004) and FIM score in Readmission group was 81.2 ± 15.9 and in Control group was 96.3 ± 11.5 with a statistically significant p value (P = .023).The study showed the individuals with HF and LVAD at IRU had high INR and low FIM which may be the cause for readmission and need more attentive care. This data can help identify the factors causing readmission and help reduce the rate of readmission. Further evaluation is necessary to determine the cause for readmission.

Determinants of Value in Coronary Artery Bypass Grafting.

Background Over 180 000 coronary artery bypass grafting (CABG) procedures are performed annually, accounting for $7 to $10 billion in episode expenditures. Assessing tradeoffs between spending and quality contributing to value during 90-day episodes has not been conducted but is essential for success in bundled reimbursement models. We, therefore, identified determinants of variability in hospital 90-day episode value for CABG. Methods Medicare and private payor admissions for isolated CABG from 2014 to 2016 were retrospectively linked to clinical registry data for 33 nonfederal hospitals in Michigan. Hospital composite risk-adjusted complication rates (≥1 National Quality Forum-endorsed, Society of Thoracic Surgeons measure: deep sternal wound infection, renal failure, prolonged ventilation >24 hours, stroke, re-exploration, and operative mortality) and 90-day risk-adjusted, price-standardized episode payments were used to categorize hospitals by value by defining the intersection between complications and spending. Results Among 2573 total patients, those at low- versus high-value hospitals had a higher percentage of prolonged length of stay >14 days (9.3% versus 2.4%, P=0.006), prolonged ventilation (17.6% versus 4.8%, P<0.001), and operative mortality (4.8% versus 0.6%, P=0.001). Mean total episode payments were $51 509 at low-compared with $45 526 at high-value hospitals (P<0.001), driven by higher readmission ($3675 versus $2177, P=0.005), professional ($7462 versus $6090, P<0.001), postacute care ($7315 versus $5947, P=0.031), and index hospitalization payments ($33 474 versus $30 800, P<0.001). Among patients not experiencing a complication or 30-day readmission (1923/2573, 74.7%), low-value hospitals had higher inpatient evaluation and management payments ($1405 versus $752, P<0.001) and higher utilization of inpatient rehabilitation (7% versus 2%, P<0.001), but lower utilization of home health (66% versus 73%, P=0.016) and emergency department services (13% versus 17%, P=0.034). Conclusions To succeed in emerging bundled reimbursement programs for CABG, hospitals and physicians should identify strategies to minimize complications while optimizing inpatient evaluation and management spending and use of inpatient rehabilitation, home health, and emergency department services.

Spatial association patterns between post-acute care services and acute care facilities in the United States.

BackgroundThere is increasing demand for post-acute care services, which is amplified by the COVID-19 pandemic.AimsWe studied the pattern of spatial association between post-acute care services and acute care facilities and evaluated how geographic variability could influence their use.MethodsWe compiled data on CMS-certified acute care and critical access hospitals and post-acute health care services (nursing homes, home health care services, inpatient rehabilitation facilities, long-term care hospitals, and hospice facilities). We used the colocation quotient (CLQ) to measure the magnitude and direction of association (clustering or segregation) between post-acute care providers and hospitals. This metric allows pairwise comparison of categorical data; a value <1 indicates spatial segregation and a value >1 spatial clustering. Unity marks the lack of spatial dependence (random distribution).ResultsWith the exception of nursing homes (CLQ 1.26), all other types of post-acute care providers are spatially segregated from rural critical access hospitals. Long-term care facilities ranked first (had the lowest global CLQ, 0.06), hospice facilities ranked last (had the highest global CLQ estimate, 0.54). Instead, post-acute care services either clustered with (inpatient rehabilitation 2.76, long-term care 2.10, nursing homes 1.37) or were only weakly segregated (home health care 0.86) from acute care hospitals. Home health care (1.44), hospice services (1.46), and nursing homes (1.08) spatially clustered with the same category of services. Results were robust in the sensitivity analysis and we provided illustrative examples of local variation for the states of MA and IA.ConclusionPost-acute care services are isolated from critical access hospitals, and have a clustering pattern with the same category services and acute care hospitals. Such misdistribution of resources may result in both underuse and a substitution effect on the type of post-acute care between rural and urban areas and undermine public health during increasing demand, such as the COVID-19 pandemic.

Hospital Readmission and Post-Acute Care Use After Intensive Care Unit Admissions: New ICU Quality Metrics?

Care coordination is a national priority. Post-acute care use and hospital readmission appear to be common after critical illness. It is unknown whether specialty critical care units have different readmission rates and what these trends have been over time. In this retrospective cohort study, a cohort of 53,539 medical/surgical patients who were treated in a critical care unit during their index admission were compared with 209,686 patients who were not treated in a critical care unit. The primary outcome was 30-day all cause hospital readmission. Secondary outcomes included post-acute care resource use and immediate readmission, defined as within 7 days of discharge. Compared to patients discharged after an index hospitalization without critical illness, surviving patients following ICU admission were not more likely to be rehospitalized within 30 days (15.8 vs. 16.1%, p = 0.08). However, they were more likely to receive post-acute care services (45.3% vs. 70.9%, p < 0.001) as well as be rehospitalized within 7 days (5.2 vs. 6.0%, p < 0.001). Post-acute care use and 30-day readmission rates varied by ICU type, the latter ranging from 11.7% after admission in a cardiothoracic critical care unit to 23.1% after admission in a medical critical care unit. 30-day readmission after ICU admission did not decline between 2010 and 2015 (p = 0.38). Readmission rates declined over time for 2 of 4 targeted conditions (heart failure and chronic obstructive pulmonary disease), but only when the hospitalization did not include ICU admission. Rehospitalization for survivors following ICU admission is common across all specialty critical care units. Post-acute care use is also common for this population of patients. Overall trends for readmission rates after critical illness did not change over time, and readmission reductions for targeted conditions were limited to hospitalizations that did not include an ICU admission.

Pandemic Care Through Collaboration: Lessons From a COVID-19 Field Hospital

During the surge of Coronavirus Disease 2019 (COVID-19) infections in March and April 2020, many skilled-nursing facilities in the Boston area closed to COVID-19 post-acute admissions because of infection control concerns and staffing shortages. Local government and health care leaders collaborated to establish a 1000-bed field hospital for patients with COVID-19, with 500 respite beds for the undomiciled and 500 post-acute care (PAC) beds within 9 days. The PAC hospital provided care for 394 patients over 7 weeks, from April 10 to June 2, 2020. In this report, we describe our implementation strategy, including organization structure, admissions criteria, and clinical services. Partnership with government, military, and local health care organizations was essential for logistical and medical support. In addition, dynamic workflows necessitated clear communication pathways, clinical operations expertise, and highly adaptable staff.

Children dependent on respiratory support: A 10-year review from one pediatric postacute care hospital.

Pediatric postacute care hospitals (PACH) provide long-term care for children with medical complexity including children dependent on respiratory support. Descriptions of PACH respiratory care populations and outcomes, however, remain under-reported. Our aim was to describe demographics, respiratory outcome, and longitudinal trend of children with respiratory support admitted to a single PACH in the United States. Using electronic records from 2009 to 2018, data were examined for all children dependent on respiratory support. Children were identified for inclusion using respiratory level of care classifications (type of support) as outlined in hospital policy. Outcome was defined as change in level from first admission to final discharge. Number of admissions by level and year during the study timeframe were analyzed. There were 1423 admissions for 767 children requiring respiratory support during the study timeframe. Children with higher respiratory classification level (eg, mechanical ventilation) at initial admission had more admissions to PACH (P < .001) and longer length of stays (P < .001). From first admission to final discharge, there was a significant change (reduction) in respiratory level (z = -4.588, P < .001). An increase in the overall number of admissions for children with respiratory support during the study timeframe was noted, with the largest increase for children requiring the highest level of support. There has been a consistent increase in the number of children requiring respiratory support at admission to PACH. Reduction in respiratory support with postacute care occurs but children admitted with a higher level of support stay longer and experience multiple admissions.

Social Network Analysis of Patient Movement Across Health Care Entities in Orange County, Florida.

Multidrug-resistant organisms (MDROs) are continually emerging and threatening health care systems. Little attention has been paid to the effect of patient transfers on MDRO dissemination among health care entities in health care systems. In this study, the Florida Department of Health in Orange County (DOH-Orange) developed a baseline social network analysis of patient movement across health care entities in Orange County, Florida, and regionally, within 6 surrounding counties in Central Florida. DOH-Orange constructed 2 directed network sociograms-graphic visualizations that show the direction of relationships (ie, county and regional)-by using 2016 health insurance data from the Centers for Medicare & Medicaid Services, which include metrics that could be useful for local public health interventions, such as MDRO outbreaks. We found that both our county and regional networks were sparse and centralized. The county-level network showed that acute-care hospitals had the highest influence on controlling the flow of patients between health care entities that would otherwise not be connected. The regional-level network showed that post-acute-care hospitals and other facilities (behavioral hospitals and mental health/substance abuse facilities) served as the primary controls for flow of patients between health care entities. The most prominent health care entities in both networks were the same 2 acute-care hospitals. Social network analysis can help local public health officials respond to MDRO outbreak investigations by determining which health care facilities are the main contributors of dissemination of MDROs or are at high risk of receiving patients with MDROs. This information can help epidemiologists prioritize prevention efforts and develop county- or regional-specific interventions to control and halt MDRO transmission across a health care network.

Frailty Index and functional level upon admission predict hospital outcomes: an interRAI-based cohort study of older patients in post-acute care hospitals

BackgroundGeriatric assessment upon admission may reveal factors that contribute to adverse outcomes in hospitalized older patients. The purposes of this study were to derive a Frailty Index (FI-PAC) from the interRAI Post-Acute Care instrument (interRAI-PAC) and to analyse the predictive ability of the FI-PAC and interRAI scales for hospital outcomes.MethodsThis retrospective cohort study was conducted by combining patient data from interRAI-PAC with discharge records from two post-acute care hospitals. The FI-PAC was derived from 57 variables that fulfilled the Frailty Index criteria. Associations of the FI-PAC and interRAI-PAC scales (ADLH for activities of daily living, CPS for cognition, DRS for mood, and CHESS for stability of health status) with hospital outcomes (prolonged hospital stay ≥90 days, emergency department admission during the stay, and in-hospital mortality) were analysed using logistic regression and ROC curves.ResultsThe cohort included 2188 patients (mean age (SD) 84.7 (6.3) years) who were hospitalized in two post-acute care hospitals. Most patients (n = 1691, 77%) were discharged and sent home. Their median length of stay was 35 days (interquartile range 18–87 days), and 409 patients (24%) had a prolonged hospital stay. During their stay, 204 patients (9%) were admitted to the emergency department and 231 patients (11%) died. The FI-PAC was normally distributed (mean (SD) 0.34 (0.15)). Each increase of 0.1 point in the FI-PAC increased the likelihood of prolonged hospital stay (odds ratio [95% CI] 1.91 [1.73─2.09]), emergency admission (1.24 [1.11─1.37]), and in-hospital death (1.82 [1.63─2.03]). The best instruments for predicting prolonged hospital stay and in-hospital mortality were the FI-PAC and the ADLH scale (AUC 0.75 vs 0.72 and 0.73 vs 0.73, respectively). There were no differences in the predictive abilities of interRAI scales and the FI-PAC for emergency department admission.ConclusionsThe Frailty Index derived from interRAI-PAC predicts adverse hospital outcomes. Its predictive ability was similar to that of the ADLH scale, whereas other interRAI-PAC scales had less predictive value. In clinical practice, assessment of functional ability is a simple way to assess a patient’s prognosis.

National Policy for Carbapenem-Resistant Enterobacteriaceae (CRE) Clearance and Discontinuation of Contact Precautions for CRE Carriers in Post-Acute Care Hospitals in Israel: Impact on Isolation-Days and New Acquisitions.

In 2009, the Israeli Ministry of Health implemented in post-acute care hospitals (PACHs) a process of discontinuing carbapenem-resistant Enterobacteriaceae (CRE) carrier status. We evaluated the policy's impact on isolation-days, CRE prevalence among known carriers who had completed clearance testing, and CRE acquisition among noncarriers. This retrospective study summarized findings from all 15 PACHs in 2009-2017. CRE carriers were considered cleared and removed from contact isolation after 2 rectal cultures negative for CRE and polymerase chain reaction negative for carbapenemases. Data sources included routine surveillance and 4 point prevalence surveys conducted from 2011 to 2017. During the study period, 887 of 6101 CRE carriers (14.5%) completed clearance testing. From 2013 to 2016, the percentage of patient-days in CRE isolation decreased from 9.4% to 3.9% (P = .008). In all surveys combined, there were 819 known CRE carriers; 411 (50%) had completed clearance testing. Of these, 11.4% (47/411) were CRE positive in the survey. At the ward level, the median percentage of patients with no CRE history who were positive on survey decreased from 11.3% in 2011 to 0% in 2017 (P < .001). We found no ward-level correlation between the proportion of carriers who completed clearance and new acquisitions (ρ = 0.02, P = .86). A process for discontinuing CRE carrier status in PACHs led to a significant reduction in the percentage of patient-days in contact isolation without increasing CRE acquisitions among noncarriers.

Use of antibiotics among end-of-life hospitalized patients with advanced directives: Status examination and association with infectious disease consultation and physician burnout

Overuse of antibiotics in end-of-life patients with advanced directives increases bacterial resistance and causes morbidity and mortality. Consultations with infectious disease (ID) physicians and burnout, which can affect antibiotic days of therapy (DOT) prescribed by physicians, have not been examined so far. To assess antibiotic use by physicians in end-of-life (EOL) patients with advanced directives and to investigate the association between ID consultations, physician burnout, and antibiotic DOT in those patients. A descriptive correlational study. Acute-care and post-acute-care hospitals. The study included 213 physicians and 932 their hospitalized patients in the last 2 weeks of life. We distributed questionnaires and analyzed the data collected regarding ID consultation, EOL antibiotics prescription with and without an advanced directive, and physician burnout to 278 physicians, and 213 were completed (response rate 76%). Of the 932 deaths, 435 of 664 (>50%) were EOL patients with advanced directives. Of these patients, 74% received antibiotics, 29.9% had bacterial resistance cultures, and antibiotics were discontinued in only 5%. Half of the physicians lacked knowledge concerning antibiotics use issues and had significantly fewer consultations with ID physicians in EOL patients with advanced directives (mean rate, 0.27) than those without advanced directives (mean rate, 0.47). ID physicians reported significantly higher emotional exhaustion levels (mean rate, 29) than other medical specialties (mean rate, 19.2). Antibiotic DOT was significantly higher when patients had ID consultations (mean rate, 21.6) than in patients who did not (mean rate, 16.2). In post-acute-care hospitals and/or geriatric wards, antibiotic DOT was significantly higher than in other types of hospitals and/or wards. Depersonalization level was negatively related to antibiotic DOT (P < .05). Antibiotics are overused in EOL patients with advanced directives. ID physician burnout and impact of ID consultation should be further assessed.

Antimicrobial use trends, Israel, 2012 to 2017.

BackgroundIn 2012, Israel’s National Center for Infection Control initiated a national stewardship programme that included mandatory annual reporting of antimicrobial use. Here we present nationwide Israeli data for the period 2012 to 2017.AimThe goal of this study was to detect trends in antimicrobial use in Israel following the introduction of the stewardship programme, as part of an assessment of the programme’s impact.MethodsIn this retrospective observational study, data were collected from Israel’s health maintenance organisations (HMOs), acute care hospitals and post-acute care hospitals (PACHs). Acute care hospital data were collected for general medical and surgical wards, and medical/surgical intensive care units (ICUs). Data were converted into defined daily doses (DDD), with use rates presented as DDD per 1,000 insured/day in the community and DDD per 100 patient-days in hospitals and PACHs. Trends were analysed using linear regression.ResultsAntimicrobial use decreased across sectors between 2012 and 2017. In the community, the decrease was modest, from 22.8 to 21.8 DDD per 1,000 insured per day (4.4%, p = 0.004). In acute care hospitals, antibiotic DDDs per 100 patient-days decreased from 100.0 to 84.0 (16.0%, p = 0.002) in medical wards, from 112.8 to 94.2 (16.5%, p = 0.004) in surgical wards and from 154.4 to 137.2 (11.1%, p = 0.04) in ICUs. Antimicrobial use decreased most markedly in PACHs, from 29.1 to 18.1 DDD per 100 patient-days (37.8%, p = 0.005).ConclusionBetween 2012 and 2017, antimicrobial use decreased significantly in all types of healthcare institutions in Israel, following the introduction of the nationwide antimicrobial stewardship programme.

The Effects Of Exercise Training To Frailty Patient During Post-acute Care Hospitalization

In Taiwan, frailty patient can receive post-acute rehabilitative care in hospital after they leave acute care hospital. The post-acute care program is proposed by the Ministry of Health and Welfare in Taiwan for functional recovery of the frailty patient. The post-acute care program including strengthening, flexibility, cardiopulmonary, and balance exercise. PURPOSE: To evaluate the functional recovery of the frailty patient in in Taiwan with a two-weeks of regular exercise training. METHODS: Twelve frailty elderly (Age: 83.25±5.5 years of age) just leave acute medical care were included in this study. The patient must have one of the underlying diseases include dementia, chronic kidney disease, parkinsonism, and Chronic Obstructive Pulmonary Disease. The therapeutic interventions were regular exercise training including strengthening, flexibility, cardiopulmonary, and balance exercise for two weeks. Before and after intervention, Functional outcome were evaluated. Data collection from multiple variables was conducted using questionnaire and examination including Barthel index, IADL, Clinical Frailty scale, Confusion Assessment Method, and Mini Nutritional Assessment-Short Form. RESULTS: The result shows significant improvement in Barthel index, Clinical Frailty scale, and Mini Nutritional Assessment-Short Form (p < .05). Among other tests, there is no significant difference. CONCLUSION: Two-week exercise training program can improve functional outcome of frailty patient during post-acute care.

Clinical predictors of protracted length of stay in Ontario Complex Continuing Care hospitals

BackgroundPost-acute care hospitals are often subject to patient flow pressures because of their intermediary position along the continuum of care between acute care hospitals and community care or residential long-term care settings. The purpose of this study was to identify patient attributes associated with a prolonged length of stay in Complex Continuing Care hospitals.MethodsUsing information collected using the interRAI Resident Assessment Instrument Minimum Data Set 2.0 (MDS 2.0), a sample of 91,113 episodes of care for patients admitted to Complex Continuing Care hospitals between March 31, 2001 and March 31, 2013 was established. All patients in the sample were either discharged to a residential long-term care facility (e.g., nursing home) or to the community. Long-stay patients for each discharge destination were identified based on a length of stay in the 95th percentile. A series of multivariate logistic regression models predicting long-stay patient status for each discharge destination pathway were fit to characterize the association between demographic factors, residential history, health severity measures, and service utilization on prolonged length of stay in post-acute care.ResultsRisk factors for prolonged length of stay in the adjusted models included functional and cognitive impairment, greater pressure ulcer risk, paralysis, antibiotic resistant and HIV infection need for a feeding tube, dialysis, tracheostomy, ventilator or a respirator, and psychological therapy. Protective factors included advanced age, medical instability, a greater number of recent hospital and emergency department visits, cancer diagnosis, pneumonia, unsteady gait, a desire to return to the community, and a support person who is positive towards discharge. Aggressive behaviour was only a risk factor for patients discharged to residential long-term care facilities. Cancer diagnosis, antibiotic resistant and HIV infection, and pneumonia were only significant factors for patients discharged to the community.ConclusionsThis study identified several patient attributes and process of care variables that are predictors of prolonged length of stay in post-acute care hospitals. This is valuable information for care planners and health system administrators working to improve patient flow in Complex Continuing Care and other post-acute care settings such as skilled nursing and inpatient rehabilitation facilities.

Success of a National Intervention in Controlling Carbapenem-resistant Enterobacteriaceae in Israel's Long-term Care Facilities.

Long-term care facilities (LTCFs) are a major reservoir of carbapenem-resistant Enterobacteriaceae (CRE) in healthcare facilities, contributing to rapid regional dissemination of CRE. In 2008, The Israeli National Center for Infection Control (NCIC) initiated a coordinated, comprehensive intervention in Israel's LTCFs, encompassing approximately 25000 beds in over 300 institutions. The intervention included implementation of population-tailored contact precautions and early detection of carriers. The NCIC established a real-time repository of all CRE carriers and events of acquisition, supervised information exchange between healthcare facilities and directed intervention at the institutional level during local outbreaks. CRE incidence was determined based on detection of CRE, either during LTFC stay or on admission to another facility. Prevalence was determined by a series of 5 cross-sectional surveys commenced between 2008 and 2015. From January 2009 through December 2015, 5265 patients acquired CRE in LTCFs. During the study period, incidence of acquisition declined in all facility types, to approximately 50% of the baseline (P < .001). The number of skilled nursing facilities and nursing homes experiencing ≥ 5 CRE acquisitions annually decreased from 35 to 11 during this period. The point prevalence of newly detected CRE carriage in post-acute care hospitals decreased from 12.3% in the survey commenced in 2008 to 0.8% in that begun in 2015 (P < .001). A national, coordinated intervention resulted in a sustained decrease in CRE incidence and prevalence in LTCFs. These results support the assumption that centrally coordinated intervention is an essential public health tool in reducing CRE in healthcare facilities.

Social Network Analysis across Healthcare Entities, Orange County, FL, 2016

Objective: To create a baseline social network analysis to assess connectivity of healthcare entities through patient movement in Orange County, Florida.Introduction: In the realm of public health, there has been an increasing trend in exploration of social network analyses (SNAs). SNAs are methodological and theoretical tools that describe the connections of people, partnerships, disease transmission, the interorganizational structure of health systems, the role of social support, and social capital1. The Florida Department of Health in Orange County (DOH-Orange) developed a reproducible baseline social network analysis of patient movement across healthcare entities to gain a county-wide perspective of all actors and influences in our healthcare system. The recognition of the role each healthcare entity contributes to Orange County, Florida can assist DOH-Orange in developing facility-specific implementations such as increased usage of personal protective equipment, environmental assessments, and enhanced surveillance.Methods: DOH-Orange received Centers for Medicare and Medicaid Services data from the Centers for Disease Control and Prevention Division of Health Care Quality Promotion. The dataset contains the frequency of patients transferred across Medicare accepting healthcare entities during 2016. We constructed a directional sociogram using R package statnet version 2016.9, built under R version 3.3.3. Node colors are categorized by the type of healthcare entity represented (e.g., long-term care facilities, acute care hospitals, post-acute care hospitals, and other) and depict the frequency of patients transferred with weighted edges. Node sizes are proportional to the log reduction of the total degree of patients transferred, and are arranged with the Fruchterman-Reingold layout. We calculated standard network indices to assess the magnitude of connectedness across healthcare entities in Orange County, Florida. Additionally, we calculated node-level indices to gain a perspective of the strength of each individual entity.Results: A total of 48 healthcare entities were included in the sociogram, with 44% representing Orange County, Florida. Although the majority of the healthcare entities are located in nearby counties, 90% of patient movement occurred across Orange County entities. The range of patient movement was 1 to 5196 with a median of 15 patients transferred in 2016. The network in Orange County is sparse with a density of 0.05, but the movement of patients across the healthcare entities is predominately symmetric (reciprocity=97%). The sociogram is centralized (degree centrality= 0.70) and contains a vast amount of entities that serve as connectors (betweenness centrality=0.53). The node-level indices identified our acute care hospitals and long term acute care hospitals are the connectors of our county health system.Conclusions: The SNA of patient movement across healthcare entities in Orange County, Florida provides public health with knowledge of the influences entities contribute to the county healthcare system. This will contribute to identifying changes in the network in future research on the transmission risks of specific diseases/conditions, which will enhance prioritization of targeted interventions within healthcare entities. In addition, SNAs can assist in targeting disease control efforts during outbreak investigations and support health communication. A SNA toolkit will be distributed to other local county health departments for reproduction to determine baseline data and integrate county-specific SNAs.

Abstract TMP73: Rehabilitation for Patients With Primary Intracerebral Hemorrhage is Associated With Reduced 30-Day Hospital Readmissions

Introduction: Readmission (RA) after stroke is an established quality of care metric and is tied to reimbursements. Administrative databases lack stroke-specific severity indicators and information on post-discharge mortality. We report the cumulative incidence of 30-day RA for patients with primary intracerebral hemorrhage (ICH) from a statewide prospective cohort. Methods: Eligible ICH patients are consented to participate in the cohort to assess the impact of level of care on patient-centered outcomes across Texas. Patients undergo inpatient evaluation, followed by 30- and 90-day assessments for functional, cognitive, quality of life, dependency, and resource utilization outcomes. We defined 30-day RA as any RA that was assessed 30 days post-acute care hospitalization for the index ICH event. We used survival analyses to provide hazard ratios (HR) and 95% confidence interval (CI), while modeling post-discharge mortality as a competing risk. Results: Thus far, 158 patients have been enrolled with RA information available for 104. The overall RA rate is 5.1 / 1000 person-days (CI: 3.1-8.3). Among the various factors evaluated (Table 1), 30-day RA is significantly higher for patients with a higher ICH score (HR: 5.67, CI: 1.45-22.19), whereas post-discharge rehabilitation (as compared to discharge to home) appears to reduce the risk of RA, even after accounting for institution-free period of observation (HR: 0.11, CI: 0.01-0.86). Among patients with a high ICH score, those discharged home had significantly higher risk of RA as compared to those who received rehabilitation (Figure 1). Enrollment is continuing; updated analyses will be presented. Conclusion: Stroke-specific disease severity factors are important to identify to develop effective preventive strategies against RA, and need to be controlled for when comparing RA metrics across patient populations. Influence of post-stroke rehab on curtailing RA for ICH patients needs to be explored further.

Does the presence of pressure ulcers entail "high risk of negative outcomes" in geriatric rehabilitation? Results from a retrospective cohort study.

A retrospective cohort study was performed in order to evaluate the prevalence of pressure ulcers (PrUs) in older patients admitted to a geriatric rehabilitation unit of a postacute care hospital and to investigate the impact of the presence of PrUs on clinical outcomes of the rehabilitation process. We studied 668 post-acute patients consecutively attended, from January 2010 to December 2011. The effect of having PrUs at admission was evaluated based on its impact on outcomes: final destination, functional status, mortality and length of stay in the rehabilitation unit. PrUs prevalence at admission was 16%. Patients with PrUs were older, more disabled and had more complex conditions, including malnutrition and cognitive impairment. In the bivariate analysis, we found patients with PrUs at admission had worst final outcome (%): discharge home (69.2 vs.82.5), discharge long term care setting (14 vs.6.4), discharge acute care (8.4 vs.6.2) and death (8.4 vs.4.8); p < 0.001, and worst Barthel Index score at discharge 57 (SD 34.1) vs.83 (SD 33.6); p < 0.001, with longer length of stay in the unit 61 (SD 42.3) vs.53 (SD 37.1); p 0.004. In the multivariate analysis, PrUs presence was found as one of the variables with significant association to no return to home. Finally, a negative association between PrUs at admission and functional gain at discharge of the postacute unit was identified. PrUs were prevalent and had negative impact on clinical outcomes of our geriatric unit, as discharge destination, functional gain and Length of Stay, in vulnerable patients.

Admissions to Acute Care Within 30 and 90 Days of Discharge Home From a Pediatric Post-acute Care Hospital.

Of all hospitalized children, those with medical complexity have the highest likelihood of hospital readmission. Post-acute hospital care could potentially help stabilize the health of these children. We examined the frequency of acute care hospital admissions after discharge home from a post-acute care hospital (PACH). A retrospective cohort analysis of 448 children with medical complexity discharged from a PACH from January 1, 2010, to December 31, 2015, with the main outcomes of acute care hospital readmissions 0 to 30 and 31 to 90 days after discharge home from a PACH. Demographic and clinical characteristics were compared between children with and without acute care readmission and between the 2 readmission groups. Ninety-nine children (22%) had a readmission to the acute care hospital. Of these readmissions, 61 (62%) occurred between 0 and 30 days and 38 (38%) between 31 and 90 days after PACH discharge. A higher percentage of children readmitted had high medical severity (>3 systems involved or ventilator dependent) compared with children not readmitted (68% vs 31%, P = .04). No differences were found between children who were readmitted and those who were not by sex, race, payer, length of stay, or age at PACH discharge. Additionally, no differences were found between children readmitted within 30 days and children readmitted 31 to 90 days after PACH discharge. The majority of children discharged home from a PACH do not require an acute care hospitalization within the first 3 months. Children with greater medical severity are readmitted more often than others.

Acute exacerbated COPD: room for improvement in key elements of care.

IntroductionHospitalizations because of acute exacerbated COPD (AECOPD) are a major burden to patients and the health care system. Interventions during acute and post-acute hospital care exist not only to improve short-term outcomes but also to prevent future exacerbations and disease progression. We aimed at measuring the implementation rates of acute and post-acute hospital care interventions for AECOPD.MethodsWe performed 24 months (January 1, 2012, to December 31, 2013) retrospective medical chart review of consecutive cases hospitalized to one of three public hospitals in the canton of Zurich due to AECOPD. Implementation rates of five acute care and seven post-acute care interventions were assessed.ResultsData from 263 hospitalizations (61% male, mean age 68.5 years, 47% active smokers) were analyzed. The median length of stay was 9 days (interquartile range [IQR] 6–12 days). In all, 32% of hospitalizations were caused by individuals with previous hospitalizations because of AECOPD. Implementation rates of four acute care interventions were >75% (lowest was appropriate antibiotic therapy with 56%). Compared to this, implementation rates of five post-acute care interventions were <25% (lowest was patient education and self-management advice with 2%).ConclusionThe results of this audit revealed room for improvement mainly in post-acute care interventions for AECOPD.

Evolution and dissemination of the Klebsiella pneumoniae clonal group 258 throughout Israeli post-acute care hospitals, 2008-13.

The KPC-producing Klebsiella pneumoniae (KPC-KP) clonal group (CG) 258 has disseminated throughout Israeli post-acute care hospitals (PACHs). The objectives of the study were (i) to describe the evolution and (ii) to understand the dissemination modes of CG 258 in the PACH system in Israel. KPC-KP surveillance cultures isolates were collected in Israeli PACHs in three national point-prevalence surveys: 2008, 2011 and 2013. CG 258 was identified by pilv-l PCR. WGS was performed for CG 258 isolates from 9 of 14 PACHs and data extracted for core-genome MLST (cgMLST) and for capsule polysaccharide gene cluster analysis. The proportional representation of CG 258 among the KPC-KP isolates increased from 72 of 104 isolates (69.2%) in 2008 to 113 of 133 isolates (85%) in 2011 ( P = 0.004 for 2008 versus 2011) and remained high in 2013 [56 of 67 isolates (83.6%)]. All isolates were related to CG 258 clade 2. cgMLST phylogenetic analysis showed relative convergence in the 2008 survey, with increasing diversification in the subsequent surveys. A predominantly institutional dissemination pattern was observed only in centre F from southern Israel. A predominantly regional dissemination pattern was observed in the two PACHs in Jerusalem. The other PACHs were characterized by a combined institutional and generalized pattern, with the majority of isolates clustering within the same PACH and survey. CG 258 clade 2 has retained its predominance despite increased diversification. Although interchanging of CG 258 strains occurred between most PACHs, local spread is the leading cause of its dissemination.