scholarly journals Association Between Infection Control Resource Use and the Number of Penalties Under Medicare’s Hospital-Acquired Condition Reduction Program

2020 ◽  
Vol 41 (S1) ◽  
pp. s133-s134
Author(s):  
Robert Scott ◽  
James Baggs ◽  
Steven Culler ◽  
John Jernigan
Keyword(s):  
Infection Control ◽  
Resource Use ◽  
Ordered Categories ◽  
Data Set ◽  
Medicare Patient ◽  
Point Estimates ◽  
Reduction Program ◽  
Electronic Health ◽  
Hospital Acquired ◽  
Control Resource

Background: The Hospital-Acquired Condition Reduction Program (HACRP) is a pay-for-performance Medicare program that promotes reducing patient harm, particularly healthcare-associated infections (HAIs). We examined the association between infection-control–related activities and the number of penalties a hospital received between fiscal years 2015 and 2018. Methods: We used logistic regression with ordered categories to assess infection control resource use and the number of penalties, an ordered categorical dependent variable with 5 categories ranging from 0 to 4, as of 2018. Data sources included National Healthcare Safety Network, American Hospital Association Annual Survey, Medicare Impact and Cost Report files, and Data.Medicare.gov. We excluded hospitals lacking data to calculate any HACRP score or component score for HAI and hospitals missing observations for model variables (301 hospitals). We assessed the following model variables: teaching hospital status, infection preventionists (IP) per 1,000 beds, surveillance hours per week per bed, other infection control activities per week per bed, nurse-to-bed ratio, housekeeping expenditure per 10,000 beds, nursing position vacancies per bed, bed size, electronic health record (EHR) implementation, number of skilled nursing beds, rural or urban location, and Medicare patient case-mix (cmi_quartiles). Results: In our model, negative logit model point estimates indicated that increased values of the variable are associated with a lower odds of having a higher number of penalties. The final data set consisted of 3,004 US hospitals. Lower penalties were significantly associated with higher IP-to-bed ratio. Although the point estimates were <1, an association between lower penalties and higher nurse-to-bed ratios or electronic health records was not demonstrated (Table 1). Conclusions: Our results suggest that after controlling for selected hospital structural factors, incremental resources related to infection control have a protective association with HCARP penalties.Funding: NoneDisclosures: None

The funding and organization of infection control in NHS hospital trusts: a study of infection control professionals' views

2003 ◽  
Vol 16 (2) ◽  
pp. 71-84 ◽  
Author(s):  
B. Croxson ◽  
P. Allen ◽  
J. A. Roberts ◽  
K. Archibald ◽  
S. Crawshaw ◽  
...  
Keyword(s):  
Infection Control ◽  
Nationwide Survey ◽  
Organizational Structures ◽  
Hospital Infection ◽  
Hospital Acquired Infection ◽  
Hospital Infection Control ◽  
Complex Picture ◽  
Ward Level ◽  
Almost All ◽  
Hospital Acquired

The problems associated with hospital-acquired infection have been causing increasing concern in England in recent years. This paper reports the results of a nationwide survey of hospital infection control professionals' views concerning the organizational structures used to manage and obtain funding for control of infection. A complex picture with significant variation between hospitals emerges. Although government policy dictates that specific funding for hospital infection control is formally made available, it is not always the case that infection control professionals have adequate resources to undertake their roles. In some cases this reflects the failure of hospitals' infection control budgetary mechanisms; in others it reflects the effects of decentralizing budgets to directorate or ward level. Some use was made of informal mechanisms either to supplement or to substitute for the formal ones. But almost all infection control professionals still believed they were constrained in their ability to protect the hospital population from the risk of infectious disease. It is clear that recent government announcements that increased effort will be made to support local structures and thereby improve the control of hospital acquired infection are to be welcomed.

scholarly journals Hospital acquired pressure injury prediction in surgical critical care patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jenny Alderden ◽  
Kathryn P. Drake ◽  
Andrew Wilson ◽  
Jonathan Dimas ◽  
Mollie R. Cummins ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Model Performance ◽  
Routine Care ◽  
Predictor Variables ◽  
Classification Algorithms ◽  
Data Set ◽  
Icu Patients ◽  
Pressure Injury ◽  
Surgical Icu ◽  
Hospital Acquired

Abstract Background Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5–10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require measures not feasible for every patient because of the cost or intensity of nursing care. Therefore, recommended standards of practice include HAPrI risk assessment at routine intervals. However, no HAPrI risk-prediction tools demonstrate adequate predictive validity in the ICU population. The purpose of the current study was to develop and compare models predicting HAPrIs among surgical ICU patients using electronic health record (EHR) data. Methods In this retrospective cohort study, we obtained data for patients admitted to the surgical ICU or cardiovascular surgical ICU between 2014 and 2018 via query of our institution's EHR. We developed predictive models utilizing three sets of variables: (1) variables obtained during routine care + the Braden Scale (a pressure-injury risk-assessment scale); (2) routine care only; and (3) a parsimonious set of five routine-care variables chosen based on availability from an EHR and data warehouse perspective. Aiming to select the best model for predicting HAPrIs, we split each data set into standard 80:20 train:test sets and applied five classification algorithms. We performed this process on each of the three data sets, evaluating model performance based on continuous performance on the receiver operating characteristic curve and the F1 score. Results Among 5,101 patients included in analysis, 333 (6.5%) developed a HAPrI. F1 scores of the five classification algorithms proved to be a valuable evaluation metric for model performance considering the class imbalance. Models developed with the parsimonious data set had comparable F1 scores to those developed with the larger set of predictor variables. Conclusions Results from this study show the feasibility of using EHR data for accurately predicting HAPrIs and that good performance can be found with a small group of easily accessible predictor variables. Future study is needed to test the models in an external sample.

Hospital-acquired infection awareness and control practices among healthcare staff: an evaluation

2021 ◽  
Vol 27 (11) ◽  
pp. 296-302
Author(s):  
Pallavi Saraswat ◽  
Rajnarayan R Tiwari ◽  
Muralidhar Varma ◽  
Sameer Phadnis ◽  
Monica Sindhu
Keyword(s):  
Infection Control ◽  
Healthcare Facility ◽  
Hospital Staff ◽  
Control Measures ◽  
Prevention Measures ◽  
Cross Sectional ◽  
Control Policies ◽  
Hospital Acquired Infection ◽  
Hospital Acquired Infections ◽  
Hospital Acquired

Background/Aims Hospital-acquired infections pose a risk to the wellbeing of both patients and staff. They are largely preventable, particularly if hospital staff have adequate knowledge of and adherence to infection control policies. This study aimed to assess the knowledge, awareness and practice of hospital-acquired infection control measures among hospital staff. Methods A cross-sectional study was conducted among 71 staff members in a tertiary healthcare facility in Karnataka, India. The researchers distributed a questionnaire containing 33 questions regarding knowledge of hospital-acquired infections, awareness of infection control policies and adherence to control practices. The results were analysed using the Statistical Package for the Social Sciences, version 16.0 and a Kruskal–Wallis test. Results Respondents' mean percentage score on the knowledge of hospital-acquired infections section was 72%. Their mean percentage scores on the awareness and practice of infection prevention measures sections were 82% and 77% respectively. Doctors and those with more years of experience typically scored higher. Conclusion The respondents had an acceptable level of knowledge, awareness and adherence to infection control practices. However, continued training is essential in the prevention of hospital-acquired infections. The majority of the respondents stated that they were willing to undertake training in this area, and this opportunity should be provided in order to improve infection control quality.

scholarly journals Does a Reduction in Readmissions Result in Net Savings for Most Hospitals? An Examination of Medicare’s Hospital Readmissions Reduction Program

2018 ◽  
Vol 77 (4) ◽  
pp. 334-344 ◽  
Author(s):  
Olga Yakusheva ◽  
Geoffrey J. Hoffman
Keyword(s):  
Program Effectiveness ◽  
Hospital Readmissions ◽  
Fiscal Year ◽  
Medicare Reimbursement ◽  
Data Set ◽  
Average Hospital ◽  
Reduction Program ◽  
Program Costs ◽  
Hospital Compare ◽  
The Impact

This study aimed (1) to estimate the impact of an incremental reduction in excess readmissions on a hospital’s Medicare reimbursement revenue, for hospitals subject to penalties under the Medicare’s Hospital Readmissions Reduction Program and (2) to evaluate the economic case for an investment in a readmission reduction program. For 2,465 hospitals with excess readmissions in the Fiscal Year 2016 Hospital Compare data set, we (1) used the Hospital Readmissions Reduction Program statute to estimate hospital-specific Medicare reimbursement gains per an avoided readmission and (2) carried out a pro forma analysis of investment in a broad-scale readmission reduction program under conservative assumptions regarding program effectiveness and using program costs from earlier studies. For an average hospital, avoiding one excess readmission would result in reimbursement gains of $10,000 to $58,000 for Medicare discharges. The economic case for investments in a readmission reduction effort was strong overall, with the possible exception of hospitals with low excess readmissions.

Complication Rates, Hospital Size, and Bias in the CMS Hospital-Acquired Condition Reduction Program

2016 ◽  
Vol 32 (6) ◽  
pp. 611-616 ◽  
Author(s):  
Lane Koenig ◽  
Samuel A. Soltoff ◽  
Berna Demiralp ◽  
Akinluwa A. Demehin ◽  
Nancy E. Foster ◽  
...  
Keyword(s):  
Complication Rates ◽  
Safety Measures ◽  
Hospital Size ◽  
Simulated Likelihood ◽  
C Statistic ◽  
Bottom Quartile ◽  
Reduction Program ◽  
Empirical Performance ◽  
Hospital Acquired

In 2016, Medicare’s Hospital-Acquired Condition Reduction Program (HAC-RP) will reduce hospital payments by $364 million. Although observers have questioned the validity of certain HAC-RP measures, less attention has been paid to the determination of low-performing hospitals (bottom quartile) and the assignment of penalties. This study investigated possible bias in the HAC-RP by simulating hospitals’ likelihood of being in the worst-performing quartile for 8 patient safety measures, assuming identical expected complication rates across hospitals. Simulated likelihood of being a poor performer varied with hospital size. This relationship depended on the measure’s complication rate. For 3 of 8 measures examined, the equal-quality simulation identified poor performers similarly to empirical data (c-statistic approximately 0.7 or higher) and explained most of the variation in empirical performance by size (Efron’s R2 > 0.85). The Centers for Medicare & Medicaid Services could address potential bias in the HAC-RP by stratifying by hospital size or using a broader “all-harm” measure.

scholarly journals Assessing Knowledge, Attitude, and Practices on Hospital Acquired Infections Control by Anaesthesia Practitioners in the Operating Theatres of the Tamale Teaching Hospital (TTH); Ghana

2020 ◽  
Vol 5 (06) ◽  
Author(s):  
Martin Mumuni Danaah Malick ◽  
Edem Yao Akpa ◽  
Peter Paul Bamaalabong
Keyword(s):  
Infection Control ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Face To Face ◽  
Hospital Acquired Infections ◽  
Hospital Infection Control ◽  
Operating Theatres ◽  
Control And Prevention ◽  
Healthcare Associated ◽  
Hospital Acquired

Background: Hospital Acquired Infections (HAIs) place a significant economic burden on the healthcare system. Infection control practices are important in minimizing healthcare associated infections. However, low compliance with Universal and Standard Precautions has been reported in a number of studies. The Centre for Disease Control and Prevention (CDC) developed baseline definitions for HAIs that were republished in 2004 and has defined HAIs as those that develop during hospitalization but are neither present nor incubating upon the patient’s admission to the hospital; generally, these infections occur between 48 to 72 hours after admission and within 10 days after hospital discharge. this study aimed at unveiling the level of knowledge, attitude and practices on infection prevention control in the operating theatres by anaesthesia practitioners at TTH. Materials and Methods: A cross-sectional study design was employed. A mixed-method approach was used for data collection which includes a structured questionnaire carried out via face to face interview and observation. Results: The study showed that 100% of the respondents have knowledge on hospital acquired infection control in the theatre in one way or the other whereas attitude and practices toward hospital infection control in the operating theatres are undesirable in some specific areas of infection control such as wearing of sterile gowns and goggle. As high as 80.6% and 69.4% do not wear goggle and gowns respectively whilst performing regional anaesthesia.  Conclusions:  This study demonstrated that anaesthetists at TTH have reported sub-optimal levels of compliance i.e. attitude and practices with selective infection control. The study further demonstrated that discrepancies exist between anaesthetists’ attitudes towards a guideline as well as their actual practice.

scholarly journals From OpenEHR to FHIR and OMOP Data Model for Microbiology Findings

2021 ◽  
Author(s):  
Eugenia Rinaldi ◽  
Sylvia Thun
Keyword(s):  
Infection Control ◽  
Data Model ◽  
Data Exchange ◽  
Control Group ◽  
Common Data Model ◽  
University Hospitals ◽  
Data Set ◽  
Related Data ◽  
National Initiative ◽  
Data Elements

HiGHmed is a German Consortium where eight University Hospitals have agreed to the cross-institutional data exchange through novel medical informatics solutions. The HiGHmed Use Case Infection Control group has modelled a set of infection-related data in the openEHR format. In order to establish interoperability with the other German Consortia belonging to the same national initiative, we mapped the openEHR information to the Fast Healthcare Interoperability Resources (FHIR) format recommended within the initiative. FHIR enables fast exchange of data thanks to the discrete and independent data elements into which information is organized. Furthermore, to explore the possibility of maximizing analysis capabilities for our data set, we subsequently mapped the FHIR elements to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). The OMOP data model is designed to support the conduct of research to identify and evaluate associations between interventions and outcomes caused by these interventions. Mapping across standard allows to exploit their peculiarities while establishing and/or maintaining interoperability. This article provides an overview of our experience in mapping infection control related data across three different standards openEHR, FHIR and OMOP CDM.

scholarly journals Feasibility and safety of a symptom-based strategy to discontinue infection control precautions for patients hospitalised with COVID-19 – a retrospective study

2021 ◽  
Author(s):  
Gaël Grandmaison ◽  
Marine Baumberger ◽  
Charlotte Pellaud ◽  
Véronique Erard ◽  
Christian Chuard
Keyword(s):  
Polymerase Chain Reaction ◽  
Retrospective Study ◽  
Infection Control ◽  
Median Time ◽  
Median Number ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Clinical Criteria ◽  
Polymerase Chain ◽  
Hospital Acquired

Background: Various recommendations exist concerning the discontinuation of contact and droplet precautions (CDP) for patients hospitalised with coronavirus disease 2019 (COVID-19). Some are based on repeated negative real-time polymerase chain reaction (RT-PCR) results, whereas other are based on clinical criteria. The feasibility and safety of these recommendations are poorly documented. Method: We conducted a retrospective study to assess the feasibility and safety of a symptom-based strategy to discontinue CDP for patients hospitalised with COVID-19. We reviewed the clinical charts of all symptomatic patients hospitalised in our institution with RT-PCR-confirmed COVID-19 to assess the application of a symptom-based strategy for the implementation and discontinuation of CDP. The patients with discontinuation of CDP in accordance with the symptom-based strategy were cross-referenced with patients with potential hospital-acquired COVID-19 in order to assess the safety of this strategy. Results: Among the 147 patients included in our study, our symptom-based strategy was respected in 95 cases (64.6%). Discontinuation of CDP in accordance with the recommendations occurred in 39 patients (26.5%). After the discontinuation of CDP, patients remained hospitalised for a median time of 18 days, with exposure to a median number of three patients, resulting in a total number of 588 days ‘patient-day-exposition’. No hospital-acquired COVID-19 was detected in contact patients. Discussion: The use of a symptom-based strategy to discontinue CDP is applicable and safe. This symptom-based strategy was applicable regardless of patient’s age or COVID-19 severity.

scholarly journals The interplay of SARS-CoV-2 and Clostridioides difficile infection

2021 ◽  
Vol 16 (6) ◽  
pp. 439-443
Author(s):  
Sahil Khanna ◽  
Colleen S Kraft
Keyword(s):  
High Risk ◽  
Infection Control ◽  
Gastrointestinal Symptoms ◽  
Control Measures ◽  
Antibiotic Exposure ◽  
Hospital Acquired Infections ◽  
Infection Control Measures ◽  
Clostridioides Difficile ◽  
Clostridioides Difficile Infection ◽  
Hospital Acquired

The COVID-19 pandemic has changed the way we practice medicine and lead our lives. In addition to pulmonary symptoms; COVID-19 as a syndrome has multisystemic involvement including frequent gastrointestinal symptoms such as diarrhea. Due to microbiome alterations with COVID-19 and frequent antibiotic exposure, COVID-19 can be complicated by Clostridioides difficile infection. Co-infection with these two can be associated with a high risk of complications. Infection control measures in hospitals is enhanced due to the COVID-19 pandemic which in turn appears to reduce the incidence of hospital-acquired infections such as C. difficile infection. Another implication of COVID-19 and its potential transmissibility by stool is microbiome-based therapies. Potential stool donors should be screened COVID-19 symptoms and be tested for COVID-19.

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