Unit-Specific Rates of Hand Hygiene Opportunities in an Acute-Care Hospital

2016 ◽  
Vol 38 (4) ◽  
pp. 411-416 ◽  
Author(s):  
Angela Han ◽  
Laurie J. Conway ◽  
Christine Moore ◽  
Liz McCreight ◽  
Kelsey Ragan ◽  
...  
Keyword(s):  
Hand Hygiene ◽  
Acute Care ◽  
Acute Care Hospital ◽  
Temporal Variations ◽  
Time Of Day ◽  
Care Hospital ◽  
Adult Intensive Care Unit ◽  
Surgical Units ◽  
Wide Range ◽  
Step Down

OBJECTIVETo explore the frequency of hand hygiene opportunities (HHOs) in multiple units of an acute-care hospital.DESIGNProspective observational study.SETTINGThe adult intensive care unit (ICU), medical and surgical step-down units, medical and surgical units, and the postpartum mother–baby unit (MBU) of an academic acute-care hospital during May–August 2013, May–July 2014, and June–August 2015.PARTICIPANTSHealthcare workers (HCWs).METHODSHHOs were recorded using direct observation in 1-hour intervals following Public Health Ontario guidelines. The frequency and distribution of HHOs per patient hour were determined for each unit according to time of day, indication, and profession.RESULTSIn total, 3,422 HHOs were identified during 586 hours of observation. The mean numbers of HHOs per patient hour in the ICU were similar to those in the medical and surgical step-down units during the day and night, which were higher than the rates observed in medical and surgical units and the MBU. The rate of HHOs during the night significantly decreased compared with day (P<.0001). HHOs before an aseptic procedure comprised 13% of HHOs in the ICU compared with 4%–9% in other units. Nurses contributed >92% of HHOs on medical and surgical units, compared to 67% of HHOs on the MBU.CONCLUSIONSAssessment of hand hygiene compliance using product utilization data requires knowledge of the appropriate opportunities for hand hygiene. We have provided a detailed characterization of these estimates across a wide range of inpatient settings as well as an examination of temporal variations in HHOs.Infect Control Hosp Epidemiol2017;38:411–416

scholarly journals Falls in an acute care hospital as reported in the adverse event management system

2015 ◽  
Vol 4 (4) ◽  
pp. 84 ◽  
Author(s):  
Barbara J. Watson ◽  
Alan W. Salmoni ◽  
Aleksandra A. Zecevic
Keyword(s):  
Adverse Event ◽  
Acute Care ◽  
Management System ◽  
Acute Care Hospital ◽  
Time Of Day ◽  
Incident Reporting ◽  
Future Research ◽  
Care Hospital ◽  
Event Management ◽  
Adverse Event Management

Background: The increasing number of falls in hospitals precipitates the need to collect and analyze falls data. Hospital falls data have been captured through staff documentation and incident reporting systems. Objective: The purpose of this study was to identify the variables associated with falls and injurious falls in an acute care hospital over the five years from the implementation of the Adverse Event Management System (AEMS). A secondary purpose was to identify problems associated with the AEMS.Methods: Falls data recorded in the AEMS system from February 2009 to February 2014 were analyzed to observe trends of falls and contributing factors occurring in various hospital units.Results: A total of 7,721 falls occurred during the study period. The highest frequency of the falls (901) occurred between 10:00 a.m. and 12:00 p.m. There were 2,275 falls which resulted in an injury. Both total fall and injurious fall rates were highest in Medicine inpatient units and lowest in Ambulatory outpatient units. The falls rate was 4.5 falls per 1,000 patient days in 2009 and 4.4 falls per 1,000 patient days in 2014. The prevalence of falls varied among nursing unit types and the time of day but the fall rate across the hospital did not change over the five year period.Conclusions: Continuous evaluation of falls data and improved staff education is recommended to help reduce falls in acute care hospitals. A province-wide database registry should be considered for future research on incident reporting.

scholarly journals 1186. Decreased Laboratory-Identified Clostridioides difficile Infections with Implementation of an Electronic Hand Hygiene Monitoring System in a Long-Term Acute Care Hospital Decreased Laboratory-Identified Clostridioides difficile Infections with Implementation of an Electronic Hand Hygiene Monitoring System in a Long-Term Acute Care Hospital

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S425-S425
Author(s):  
Maureen Banks ◽  
Andrew Phillips ◽  
Keith Chin ◽  
Lou Ann Bruno-Murtha
Keyword(s):  
Data Collection ◽  
Hand Hygiene ◽  
Monitoring System ◽  
Acute Care ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Intervention Period ◽  
Environmental Cleaning ◽  
Clostridioides Difficile

Abstract Background Hand hygiene (HH) is the cornerstone of infection prevention and improved compliance has been associated with reduced healthcare-associated infections (HAIs). However, traditional methods for HH data collection have limitations and may not accurately reflect true compliance. We sought to evaluate whether an electronic hand hygiene monitoring system (HHMS) can improve data collection, compliance, and reduce HAIs. Methods A HHMS was implemented as part of a pilot at a single facility in June 2018 for all healthcare workers (HCWs) who entered patient rooms. The system prompted HCWs to perform HH with an audible and visual reminder emitted from a badge if a HH event had not been registered within specific timeframes of entering or exiting a patient room. The system captured compliance with preferential handwashing (soap and water) for at least 15 seconds upon exit of Clostridioides difficile (C. difficile) designated rooms. All HH data were collected by the HHMS. Hand hygiene compliance and HAI data were compared for the pre-intervention (June 2017-May 2018) and intervention periods (July 2018-March 2019). No changes were made to environmental cleaning protocols or compliance monitoring, nor in antibiotic stewardship practices. Results HH compliance by direct observation in the pre-intervention period was 91% (1,612 observations). HH compliance with the HHMS during the intervention period was 97% (2,778,402 observations). The mean monthly HH opportunities recorded during the pre-intervention period was 134, while the HHMS captured 308,711, a greater than 2,300-fold increase. The incidence of healthcare facility-onset C. difficile infections (HO-CDI) pre-intervention was 9.60 per 10,000 patient-days (41 GDH+/Toxin+ laboratory-identified [labID] events/42,726 patient-days). With the HHMS, HO-CDI decreased 70% (P = 0.0003) to 2.89 per 10,000 patient-days (9 labID events/31,169 patient-days). No policy changes in environmental cleaning of high-touch surfaces were made or observed during the pilot. Conclusion The use of an HHMS facilitated more comprehensive HH data and improved compliance. The preliminary findings also support an association between more robust HH compliance data and a significant decrease in toxin-producing CDI. Disclosures All authors: No reported disclosures.

Rate of Healthcare Worker–Patient Interaction and Hand Hygiene Opportunities in an Acute Care Setting

2014 ◽  
Vol 35 (3) ◽  
pp. 225-230 ◽  
Author(s):  
Laura Goodliffe ◽  
Kelsey Ragan ◽  
Michael Larocque ◽  
Emily Borgundvaag ◽  
Sophia Khan ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hand Hygiene ◽  
Healthcare Worker ◽  
Acute Care ◽  
Healthcare Workers ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Factors Affecting ◽  
Patient Interactions

Objective.Identify factors affecting the rate of hand hygiene opportunities in an acute care hospital.Design.Prospective observational study.Setting.Medical and surgical in-patient units, medical-surgical intensive care unit (MSICU), neonatal intensive care unit (NICU), and emergency department (ED) of an academic acute care hospital from May to August, 2012.Participants.Healthcare workers.Methods.One-hour patient-based observations measured patient interactions and hand hygiene opportunities as defined by the “Four Moments for Hand Hygiene.” Rates of patient interactions and hand hygiene opportunities per patient-hour were calculated, examining variation by room type, healthcare worker type, and time of day.Results.During 257 hours of observation, 948 healthcare worker-patient interactions and 1,605 hand hygiene opportunities were identified. Moments 1, 2, 3, and 4 comprised 42%, 10%, 9%, and 39% of hand hygiene opportunities. Nurses contributed 77% of opportunities, physicians contributed 8%, other healthcare workers contributed 11%, and housekeeping contributed 4%. The mean rate of hand hygiene opportunities per patient-hour was 4.2 for surgical units, 4.5 for medical units, 5.2 for ED, 10.4 for NICU, and 13.2 for MSICU (P < .001). In non-ICU settings, rates of hand hygiene opportunities decreased over the course of the day. Patients with transmission-based precautions had approximately half as many interactions (rate ratio [RR], 0.55 [95% confidence interval (CI), 0.37-0.80]) and hand hygiene opportunities per hour (RR, 0.47 [95% CI, 0.29-0.77]) as did patients without precautions.Conclusions.Measuring hand hygiene opportunities across clinical settings lays the groundwork for product use-based hand hygiene measurement. Additional work is needed to assess factors affecting rates in other hospitals and health care settings.

Comparative Evaluation of Malnutrition Screening in Oncology Patients in an Acute Care Hospital: A Pilot Study

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Sinha Chandni Sen ◽  
LaSalle Colette ◽  
Argabright Debra ◽  
Hollenbeck Clarie B
Keyword(s):  
Pilot Study ◽  
Acute Care ◽  
Comparative Evaluation ◽  
Acute Care Hospital ◽  
Care Hospital ◽  
Oncology Patients

A Taxonomy for Psycho-Oncological Intervention Techniques in an Acute Care Hospital in Germany

2021 ◽  
pp. 1-7
Author(s):  
Martina Madl ◽  
Marietta Lieb ◽  
Katharina Schieber ◽  
Tobias Hepp ◽  
Yesim Erim
Keyword(s):  
Acute Care ◽  
Interrater Reliability ◽  
Acute Care Hospital ◽  
Future Research ◽  
Systematic Research ◽  
Care Hospital ◽  
Certification System ◽  
Stepwise Procedure ◽  
Further Development

<b><i>Background:</i></b> Due to the establishment of a nationwide certification system for cancer centers in Germany, the availability of psycho-oncological services for cancer patients has increased substantially. However, little is known about the specific intervention techniques that are applied during sessions in an acute care hospital, since a standardized taxonomy is lacking. With this study, we aimed at the investigation of psycho-oncological intervention techniques and the development of a comprehensive and structured taxonomy thereof. <b><i>Methods:</i></b> In a stepwise procedure, a team of psycho-oncologists generated a data pool of interventions and definitions that were tested in clinical practice during a pilot phase. After an adaptation of intervention techniques, interrater reliability (IRR) was attained by rating 10 previously recorded psycho-oncological sessions. A classification of interventions into superordinate categories was performed, supported by cluster analysis. <b><i>Results:</i></b> Between April and June 2017, 980 psycho-oncological sessions took place. The experts agreed on a total number of 22 intervention techniques. An IRR of 89% for 2 independent psycho-oncological raters was reached. The 22 techniques were classified into 5 superordinate categories. <b><i>Discussion/Conclusion:</i></b> We developed a comprehensive and structured taxonomy of psycho-oncological intervention techniques in an acute care hospital that provides a standardized basis for systematic research and applied care. We expect our work to be continuously subjected to further development: future research should evaluate and expand our taxonomy to other contexts and care settings.

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