scholarly journals AN OBSERVATIONAL STUDY TO ASSESS THE PATTERN AND INCIDENCE OF HEALTHCARE ASSOCIATED INFECTIONS (HAI) AND EVALUATE EFFECTIVENESS OF HOSPITAL INFECTION CONTROL (HIC) POLICIES.

2016 ◽  
Vol 4 (10) ◽  
pp. 1792-1801
Author(s):  
Gita Nadimpalli ◽  
◽  
N.P. Rao ◽  
Shahu Ingole ◽  
Dr.Sunil Bhamare ◽  
...  
Keyword(s):  
Observational Study ◽  
Infection Control ◽  
Hospital Infection ◽  
Healthcare Associated Infections ◽  
Hospital Infection Control ◽  
Healthcare Associated

scholarly journals A Potential Way to Decrease the Know-Do Gap in Hospital Infection Control in Vietnam: “Providing Specific Figures on Healthcare-Associated Infections to the Hospital Staff Can ‘Wake Them Up’ to Change Their Behaviour”

2018 ◽  
Vol 15 (7) ◽  
pp. 1549 ◽  
Author(s):  
La Lien ◽  
Eva Johansson ◽  
Pham Lan ◽  
Nguyen Chuc ◽  
Nguyen Thoa ◽  
...  
Keyword(s):  
Infection Control ◽  
Health Workers ◽  
Hospital Staff ◽  
Infection Control Practice ◽  
Hospital Infection ◽  
Main Theme ◽  
Healthcare Associated Infections ◽  
Urban Hospital ◽  
Hospital Infection Control ◽  
Healthcare Associated

Adequate infection control plays a key role in preventing healthcare-associated infections (HAIs). This study aimed to explore staff perceptions of hospital infection control in a rural and an urban hospital in Vietnam. Individual interviews were conducted with hospital managers, and focus group discussions were conducted with doctors, nurses and cleaning workers separately. Content analysis was applied. An interview guide including discussion points on HAIs, hand hygiene and healthcare waste management was used. Generally, the staff were knowledgeable of hospital infection control, but they were not aware of the situation in their own hospital, and infection control practices in the hospitals remained poor. Reported difficulties in infection control included lack of resources, poor awareness and patient overload. A main theme emerged: ‘Making data on HAIs available for health workers can improve their awareness and motivate them to put their existing knowledge into practice, thus decreasing the know-do gap in infection control’. This could be a feasible intervention to improve infection control practice in the hospitals with limited resources, high workload and patient overload.

scholarly journals Epidemiological profile of healthcare-associated infections caused by Carbapenemase-producing Enterobacteriaceae

2019 ◽  
Vol 53 ◽  
Author(s):  
André Luiz Silva Alvim ◽  
Bráulio Roberto Gonçalves Marinho Couto ◽  
Andrea Gazzinelli
Keyword(s):  
Klebsiella Pneumoniae ◽  
Infection Control ◽  
Hospital Environment ◽  
Automated System ◽  
Healthcare Associated Infections ◽  
Klebsiella Pneumoniae Carbapenemase ◽  
Hospital Infection Control ◽  
Carbapenemase Gene ◽  
Epidemiological Profile ◽  
Healthcare Associated

ABSTRACT Objective: To study the epidemiological profile of Healthcare-associated Infections caused by Enterobacteria which carry the Klebsiella pneumoniae Carbapenemase gene (blaKPC) in the hospital environment. Method: A descriptive study was conducted in a private hospital in Belo Horizonte, MG, Brazil, which included all patients with infections caused by Enterobacteriaceae which carry the Klebsiella pneumoniae Carbapenemase gene. The data were collected by the Automated System of Hospital Infection Control and analyzed by descriptive statistics by the Epi Info 7 program. Results: Eighty-two (82) patients participated in the study. Klebsiella pneumoniae was the most frequent species (68%) isolated in blood (30%), bronchoalveolar lavage (22%) and urine (18%), while catheter-associated bloodstream infection (30%) predominated regarding topography. A case fatality rate of 62% is highlighted in evaluating the outcome. Conclusion: The resistance genes spread rapidly, limiting the antimicrobial options for treating infectious diseases. The epidemiological profile of Healthcare-Associated Infections found in this study can be prevented by prevention and infection control programs.

scholarly journals Reorganization of nurse scheduling reduces the risk of healthcare associated infections

2019 ◽  
Author(s):  
Eugenio Valdano ◽  
Chiara Poletto ◽  
Pierre-Yves Boëlle ◽  
Vittoria Colizza
Keyword(s):  
Infection Control ◽  
Wearable Sensors ◽  
Healthcare Services ◽  
University Hospital ◽  
Transmission Model ◽  
Healthcare Associated Infections ◽  
Nurse Scheduling ◽  
Hospital Infection Control ◽  
Healthcare Associated ◽  
The Impact

ABSTRACTBackgroundEfficient prevention and control of healthcare associated infections (HAIs) is still an open problem.ObjectiveTo design efficient hospital infection control strategies by reorganizing nurse scheduling.Design, setting, and participantsProof-of-concept modeling study based on high-resolution contact data from wearable sensors between patients, nurses, doctors, and administrative staff at a short-stay geriatric ward of a University hospital.MethodsWe considered isolation and contact removal to identify the most important class of individuals for HAI dissemination. We introduced a novel intervention based on the reorganization of nurse scheduling. This strategy switches and reassigns nurses’ tasks through the optimization of shift timelines, while respecting feasibility constraints and satisfying patient-care requirements. We evaluated the impact of interventions through a Susceptible-Colonized-Susceptible transmission model on the empirical and reorganized contacts.ResultsIsolation and contact removal produced the largest risk reduction when acting on nurses. Reorganizing their schedules reduced HAI risk by 27% (95% confidence interval [24,29]%) while preserving the timeliness, number, and duration of contacts. More than 30% nurse-nurse contacts should be avoided to achieve an equivalent reduction through simple contact removal. No overall change in the number of nurses per patient resulted from the intervention.ConclusionsReorganization of nurse scheduling offers an alternative change of practice that substantially limits HAI risk in the ward while ensuring the timeliness and quality of healthcare services. This calls for including optimization of nurse scheduling practices in programs for better infection control in hospitals.

scholarly journals Percepção da equipe de enfermagem quanto ao controle de infecção em um hospital de ensino

2019 ◽  
Vol 19 (77) ◽  
Author(s):  
Josni Tauffer ◽  
Bruna Tais Zack ◽  
Manoela Cristina Berticelli ◽  
Maria Julia Navarro Kássim ◽  
Sabrina Kássia Menegusso Carmello ◽  
...  
Keyword(s):  
Infection Control ◽  
Financial Incentives ◽  
Healthcare Associated Infections ◽  
Effective Prevention ◽  
Professional Performance ◽  
Hospital Infection Control ◽  
Nursing Team ◽  
Individual Protection ◽  
Healthcare Associated ◽  
And Control

Introdução: A prevenção e controle de infecções através de medidas que envolvam a qualificação da assistência hospitalar é primordial quando focado no conhecimento e na importância dos assuntos relacionados a essa temática. Frente a isto, o conhecimento e a concepção da equipe de enfermagem sobre o trabalho do controle de infecção auxiliam na aprimoração da qualidade e obtenção dos resultados esperados. Objetivo: Analisar a percepção dos profissionais da equipe de enfermagem quanto ao serviço de controle de infecção em um hospital escola. Métodos: A coleta de dados seguiu a proposta de estudo quantitativo e qualitativo, formadas por questões abertas e fechadas que foram transcritas de forma analítica e elencadas conforme eixos temáticos as quais sofreram análise de Bardin. Os resultados das questões fechadas foram descritos por meio do programa Excel com apresentações dos resultados em frequência e porcentagem. Resultados: 17 (85%) dos profissionais entrevistados eram do sexo feminino; 18 (90%) responderam que a falta de adesão à higienização das mãos é responsável por maior parte das infecções relacionadas à assistência à saúde na instituição; 14 (70%) dos profissionais evidenciaram que a grande circulação de profissionais propicia o surgimento de infecções relacionadas à assistência à saúde; 12 (60%) dos profissionais afirmaram ter conhecimento sobre os índices de infecções relacionadas à assistência à saúde em seu setor; 17 (85%) afirmam a disponibilização de ferramentas para o controle de infecções relacionadas à assistência à saúde; 16 (80%) afirmam ter participado em algum momento de treinamentos relacionados ao controle de infecção; 18 (90%) higienização das mãos e 11 (55%) observação nos critérios de isolamento, os demais variam entre 8 a 9% considerando respectivamente importante a esterilização de materiais e utilização de equipamento de proteção individual; 18 (90%) afirmam conhecer o trabalho do enfermeiro em controle de infecção. Conclusão: A atuação do profissional enfermeiro faz-se necessária, na vigilância da incidência das infecções relacionadas à assistência à saúde e na prestação de cuidados. O conjunto multifatorial e multiprofissional, que engloba desde incentivos financeiros quanto a prevenção continuada e eficaz ao paciente, com a implementação de linguagem horizontal definida por aplicação de práticas e protocolos assistenciais sem desvios de informações contribui significativamente na redução das infecções relacionadas à assistência à saúde.Palavras-chave: Infecções relacionadas à assistência à saúde; Controle de Infecção; Vigilância em Saúde; Enfermagem. ABSTRACTThe prevention and control of infections through measures involving the qualification of hospital care is paramount when focused on the knowledge and importance of issues related to this thematic. Faced with this, the knowledge and conception of the nursing team about the work of infection control helps to improve the quality and obtain the expected results. Objective: To analyze the perception of nursing team regarding hospital infection control service in a school hospital. Methods: The data collection followed the proposal of a quantitative and qualitative study, formed by open and closed questions which was transcribed analytically and listed according to thematic axes which were analyzed by Bardin. The results of the closed questions were described through the Excel program with presentations of results in frequency and percentage. Results: 17 (85%) of the professionals interviewed were female. 18 (90%) answered that lack of adherence to hand hygiene is responsible for most of the healthcare-associated infections in the institution; 14 (70%) of the professionals showed the large circulation of professionals facilitates the emergence of healthcare-associated infections; 12 (60%) of the professionals stated that they had knowledge about the healthcare-associated infections indices in their sector; 17 (85%) affirm the availability of tools for the control of healthcare-associated infections; 16 (80%) reported having participated in some training related to infection control; 18 (90%) hands hygiene and 11 (55%) Note in the isolation criteria, the others vary from 8 to 9% considering, respectively, material sterilization and use of individual protection equipment; 18 (90%) stated that they knew the nurse's job in infection control. Conclusion: Nursing professional performance is necessary, in the surveillance of the incidence of healthcare-associated infections and in the provision of care. The multifactorial and multiprofessional set, from financial incentives to continuous and effective prevention to the patient, with the implementation of horizontal language defined by the application of practices and protocols assists without deviations of information contributes significantly to the reduction of healthcare-associated infections.Keywords: Health-care-related infections; Infection Control; Health Surveillance; Nursing.

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 907. Technology and Medicine: Prediction of Surgical Site Infection in Clean Surgeries using Artificial Neural Networks

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S487-S487
Author(s):  
Flávio Henrique Batista de Souza ◽  
Braulio Roberto Gonçalves Marinho Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Infection Control ◽  
Surgical Site Infection ◽  
Predictive Power ◽  
Hospital Infection ◽  
Automated System ◽  
Site Infection ◽  
Average Hospital ◽  
Hospital Infection Control

Abstract Background In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out through the software SACIH - Automated System for Hospital Infection Control. So, three procedures were performed: a treatment of the collected database for use of intact samples; a statistical analysis on the profile of the collected hospitals; an evaluation of the predictive power of five types of MLPs (Backpropagation Standard, Momentum, Resilient Propagation, Weight Decay and Quick Propagation) for SSI prediction. The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring the AUC (Area Under the Curve - ranging from 0 to 1) presented for each of the configurations. Results From 45,990 records, 12,811 were able for analysis. The statistical analysis results were: the average age is 49 years old (predominantly between 30 and 50); the surgeries had an average time of 134.13 minutes; the average hospital stay is 4 days (from 0 to 200 days), the death rate reached 1% and the SSI 1.49%. A maximum prediction power of 0.742 was found. Conclusion There was a loss of 60% of the database samples due to the presence of noise. However, it was possible to have a relevant sample to assess the profile of these six hospitals. The predictive process, presented some configurations with results that reached 0.742, what promises the use of the structure for the monitoring of automated SSI for patients submitted to surgeries considered clean. To optimize data collection, enable other hospitals to use the prediction tool and minimize noise from the database, two mobile application were developed: one for monitoring the patient in the hospital and other for monitoring after hospital discharge. The SSI prediction analysis tool is available at www.nois.org.br. Disclosures All Authors: No reported disclosures

scholarly journals Automated Risk Analysis of Surgical Site Infection in Hip Arthroplasty Surgeries

2020 ◽  
Vol 41 (S1) ◽  
pp. s135-s136
Author(s):  
Flávio Souza ◽  
Braulio Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  
Keyword(s):  
Data Collection ◽  
Infection Control ◽  
Surgical Site Infection ◽  
Hip Arthroplasty ◽  
Hospital Infection ◽  
Site Infection ◽  
Weight Decay ◽  
Hospital Infection Control ◽  
Belo Horizonte ◽  
Arthroplasty Surgery

Background: In 7 hospitals in Belo Horizonte, a city with >3,000,000 inhabitants, a survey was conducted between July 2016 and June 2018, focused on surgical site infection (SSI) in patients undergoing arthroplasty surgery procedures. The main objective is to statistically evaluate such incidences and enable a study of the prediction power of SSI through pattern recognition algorithms, the MLPs (multilayer perceptron). Methods: Data were collected on SSI by the hospital infection control committees (CCIHs) of the hospitals involved in the research. All data used in the analysis during their routine SSI surveillance procedures were collected. The information was forwarded to the NOIS (Nosocomial Infection Study) Project, which used SACIH automated hospital infection control system software to collect data from a sample of hospitals participating voluntarily in the project. After data collection, 3 procedures were performed: (1) a treatment of the database collected for the use of intact samples; (2) a statistical analysis on the profile of the hospitals collected; and (3) an assessment of the predictive power of 5 types of MLP (backpropagation standard, momentum, resilient propagation, weight decay, and quick propagation) for SSI prediction. MLPs were tested with 3, 5, 7, and 10 hidden layer neurons and a database split for the resampling process (65% or 75% for testing and 35% or 25% for validation). The results were compared by measuring AUC (area under the curve; range, 0–1) presented for each of the configurations. Results: Of 1,246 records, 535 were intact for analysis. We obtained the following statistics: the average surgery time was 190 minutes (range, 145–217 minutes); the average age of the patients was 67 years (range, 9–103); the prosthetic implant index was 98.13%; the SSI rate was 1.49%, and the death rate was 1.21%. Regarding the prediction power, the maximum prediction power was 0.744. Conclusions: Despite the considerable loss rate of almost 60% of the database samples due to the presence of noise, it was possible to perform relevant sampling for the profile evaluation of hospitals in Belo Horizonte. For the predictive process, some configurations have results that reached 0.744, which indicates the usefulness of the structure for automated SSI monitoring for patients undergoing hip arthroplasty surgery. To optimize data collection and to enable other hospitals to use the SSI prediction tool (available in www.sacihweb.com ), a mobile application was developed.Funding: NoneDisclosures: None

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