Literature DB >> 27691989

Comparison of Data Collection for Healthcare-Associated Infection Surveillance in Nursing Homes.

Lauren Epstein1, Nimalie D Stone1, Lisa LaPlace1, Jane Harper2, Ruth Lynfield2, Linn Warnke2, Tory Whitten2, Meghan Maloney3, Richard Melchreit3, Richard Rodriguez3, Gail Quinlan4, Cathleen Concannon4, Ghinwa Dumyati4, Deborah L Thompson5, Nicola Thompson1.   

Abstract

OBJECTIVE To facilitate surveillance and describe the burden of healthcare-associated infection (HAI) in nursing homes (NHs), we compared the quality of resident-level data collected by NH personnel and external staff. DESIGN A 1-day point-prevalence survey SETTING AND PARTICIPANTS Overall, 9 nursing homes among 4 Centers for Disease Control and Prevention (CDC) Emerging Infection Program (EIP) sites were included in this study. METHODS NH personnel collected data on resident characteristics, clinical risk factors for HAIs, and the presence of 3 HAI screening criteria on the day of the survey. Trained EIP surveillance officers collected the same data elements via retrospective medical chart review for comparison; surveillance officers also collected available data to identify HAIs (using revised McGeer definitions). Overall agreement was calculated among residents identified by both teams with selected risk factors and HAI screening criteria. The impact of using NH personnel to collect screening criteria on HAI prevalence was assessed. RESULTS The overall prevalence of clinical risk factors among the 1,272 residents was similar between NH personnel and surveillance officers, but the level of positive agreement (residents with factors identified by both teams) varied between 39% and 87%. Surveillance officers identified 253 residents (20%) with ≥1 HAI screening criterion, resulting in 67 residents with an HAI (5.3 per 100 residents). The NH personnel identified 152 (12%) residents with ≥1 HAI screening criterion; 42 residents had an HAI (3.5 per 100 residents). CONCLUSION We identified discrepancies in resident-level data collection between surveillance officers and NH personnel, resulting in varied estimates of the HAI prevalence. These findings have important implications for the design and implementation of future HAI prevalence surveys. Infect Control Hosp Epidemiol 2016;1440-1445.

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Year:  2016        PMID: 27691989     DOI: 10.1017/ice.2016.200

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  4 in total

1.  Self-reported National Healthcare Safety Network knowledge and enrollment: A national survey of nursing homes.

Authors:  Caroline J Fu; Mansi Agarwal; Andrew W Dick; Jeneita M Bell; Nimalie D Stone; Ashley M Chastain; Patricia W Stone
Journal:  Am J Infect Control       Date:  2019-10-09       Impact factor: 2.918

2.  Antimicrobial Use in a Cohort of US Nursing Homes, 2017.

Authors:  Nicola D Thompson; Nimalie D Stone; Cedric J Brown; Austin R Penna; Taniece R Eure; Wendy M Bamberg; Grant R Barney; Devra Barter; Paula Clogher; Malini B DeSilva; Ghinwa Dumyati; Linda Frank; Christina B Felsen; Deborah Godine; Lourdes Irizarry; Marion A Kainer; Linda Li; Ruth Lynfield; J P Mahoehney; Meghan Maloney; Joelle Nadle; Valerie L S Ocampo; Rebecca Pierce; Susan M Ray; Sarah Shrum Davis; Marla Sievers; Krithika Srinivasan; Lucy E Wilson; Alexia Y Zhang; Shelley S Magill
Journal:  JAMA       Date:  2021-04-06       Impact factor: 56.272

3.  Healthcare-associated infections and antimicrobial use in Belgian nursing homes: results of three point prevalence surveys between 2010 and 2016.

Authors:  Katrien Latour; Boudewijn Catry; Brecht Devleesschauwer; Frank Buntinx; Jan De Lepeleire; Béatrice Jans
Journal:  Arch Public Health       Date:  2022-02-18

4.  Antimicrobials in acute and long-term care: a point in time along the way to improved use.

Authors:  Melinda M Neuhauser; J Todd Weber
Journal:  Euro Surveill       Date:  2018-11
  4 in total

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