publication . Article . 2017

Estimating the impact post randomization changes in staff behavior in infection prevention trials: a mathematical modeling approach

Lofgren, Eric T.;
Open Access English
  • Published: 01 Aug 2017 Journal: BMC Infectious Diseases, volume 17 (eissn: 1471-2334, Copyright policy)
  • Publisher: BioMed Central
Abstract
Background Randomized controlled trials (RCTs) of behavior-based interventions are particularly vulnerable to post-randomization changes between study arms. We assess the impact of such a change in a large, multicenter study of universal contact precautions to prevent infection transmission in intensive care units. Methods We construct a stochastic mathematical model of methicillin-resistant Staphylococcus aureus (MRSA) acquisition in a simulated 18-bed intensive care unit (ICU). Using parameters from a recent study of contact precautions that reported a post-randomization change in contact rates, with fewer visits observed in the treatment arm, we explore the i...
Subjects
Medical Subject Headings: sense organs
free text keywords: Research Article, MRSA, Hospital epidemiology, Healthcare-associated infections, Contact precautions, Mathematical modeling
Related Organizations
21 references, page 1 of 2

Anderson, DJ, Juthani-Mehta, M, Morgan, DJ. Research methods in healthcare epidemiology and antimicrobial stewardship: randomized controlled trials. Infect Control Hosp Epidemiol. 2016; 37 (6): 629-634 [OpenAIRE] [PubMed] [DOI]

Halloran, ME, Struchiner, CJ. Study Designs for Dependent Happenings. Epidemiology. 1991; 2: 331-338 [OpenAIRE] [PubMed] [DOI]

Lofgren, ET, Halloran, ME, Rivers, CM. Opinion: mathematical models: a key tool for outbreak response. Proc Natl Acad Sci. 2014; 111 (51): 18095-18096 [OpenAIRE] [PubMed] [DOI]

Harris, AD, Pineles, L, Belton, B. Universal glove and gown use and acquisition of antibiotic-resistant bacteria in the ICU: a randomized trial. JAMA. 2013; 310 (15): 1571-1580 [OpenAIRE] [PubMed]

Siegel, JD, Rhinehart, E, Jackson, M, Chiarello, L. Preventing Transmission of Infectious Agents in Healthcare Settings. American Journal of Infection Control. 2007; 35 (10(suppl2): S65-S164 [OpenAIRE] [PubMed] [DOI]

Weber, DJ, Rutala, WA. Understanding and preventing transmission of healthcare-associated pathogens due to the contaminated hospital environment. Infect Control Hosp Epidemiol. 2013; 34 (5): 449-452 [OpenAIRE] [PubMed] [DOI]

Ballermann, MA, Shaw, NT, Mayes, DC, Gibney, RTN, Westbrook, JI. Validation of the work observation method by activity timing (WOMBAT) method of conducting time-motion observations in critical care settings: an observational study. BMC Med Inform Decis Mak. 2011; 11: 32 [OpenAIRE] [PubMed] [DOI]

Westbrook, JI, Duffield, C, Li, L, Creswick, NJ. How much time do nurses have for patients? A longitudinal study quantifying hospital nurses' patterns of task time distribution and interactions with health professionals. BMC Health Serv Res. 2011; 11: 319 [OpenAIRE] [PubMed] [DOI]

Lofgren, ET, Moehring, RW, Anderson, DJ, Weber, DJ, Fefferman, NH. A mathematical model to evaluate the routine use of fecal microbiota transplantation to prevent incident and recurrent Clostridium Difficile infection. Infect Control Hosp Epidemiol. 2014; 35 (1): 18-27 [OpenAIRE] [PubMed] [DOI]

Lofgren, ET, Cole, SR, Weber, DJ. Hospital-acquired Clostridium Difficile infections: estimating all-cause mortality and length of stay. Epidemiology. 2014; 25 (4): 570-575 [OpenAIRE] [PubMed] [DOI]

11.Sunnåker M, Busetto AG, Numminen E. Approximate bayesian computation. PLoS Comput Biol. 2013;9

Lofgren, ET. Pools versus queues: the variable dynamics of stochastic "steady states". PLoS One. 2015; 10 (6): e0130574 [OpenAIRE] [PubMed] [DOI]

Gillespie, DT. Exact stochastic simulation of coupled chemical reactions. J Phys Chem. 1977; 81 (25): 2340-2361 [OpenAIRE] [DOI]

Maarleveld, TR, Olivier, BG, Bruggeman, FJ. StochPy: a comprehensive, user-friendly tool for simulating stochastic biological processes. PLoS One. 2013; 8 (11) [OpenAIRE] [PubMed] [DOI]

Stelfox, HT, Bates, DW, Redelmeier, DA. Safety of patients isolated for infection control. JAMA. 2003; 290 (14): 1899-1905 [OpenAIRE] [PubMed] [DOI]

21 references, page 1 of 2
Abstract
Background Randomized controlled trials (RCTs) of behavior-based interventions are particularly vulnerable to post-randomization changes between study arms. We assess the impact of such a change in a large, multicenter study of universal contact precautions to prevent infection transmission in intensive care units. Methods We construct a stochastic mathematical model of methicillin-resistant Staphylococcus aureus (MRSA) acquisition in a simulated 18-bed intensive care unit (ICU). Using parameters from a recent study of contact precautions that reported a post-randomization change in contact rates, with fewer visits observed in the treatment arm, we explore the i...
Subjects
Medical Subject Headings: sense organs
free text keywords: Research Article, MRSA, Hospital epidemiology, Healthcare-associated infections, Contact precautions, Mathematical modeling
Related Organizations
21 references, page 1 of 2

Anderson, DJ, Juthani-Mehta, M, Morgan, DJ. Research methods in healthcare epidemiology and antimicrobial stewardship: randomized controlled trials. Infect Control Hosp Epidemiol. 2016; 37 (6): 629-634 [OpenAIRE] [PubMed] [DOI]

Halloran, ME, Struchiner, CJ. Study Designs for Dependent Happenings. Epidemiology. 1991; 2: 331-338 [OpenAIRE] [PubMed] [DOI]

Lofgren, ET, Halloran, ME, Rivers, CM. Opinion: mathematical models: a key tool for outbreak response. Proc Natl Acad Sci. 2014; 111 (51): 18095-18096 [OpenAIRE] [PubMed] [DOI]

Harris, AD, Pineles, L, Belton, B. Universal glove and gown use and acquisition of antibiotic-resistant bacteria in the ICU: a randomized trial. JAMA. 2013; 310 (15): 1571-1580 [OpenAIRE] [PubMed]

Siegel, JD, Rhinehart, E, Jackson, M, Chiarello, L. Preventing Transmission of Infectious Agents in Healthcare Settings. American Journal of Infection Control. 2007; 35 (10(suppl2): S65-S164 [OpenAIRE] [PubMed] [DOI]

Weber, DJ, Rutala, WA. Understanding and preventing transmission of healthcare-associated pathogens due to the contaminated hospital environment. Infect Control Hosp Epidemiol. 2013; 34 (5): 449-452 [OpenAIRE] [PubMed] [DOI]

Ballermann, MA, Shaw, NT, Mayes, DC, Gibney, RTN, Westbrook, JI. Validation of the work observation method by activity timing (WOMBAT) method of conducting time-motion observations in critical care settings: an observational study. BMC Med Inform Decis Mak. 2011; 11: 32 [OpenAIRE] [PubMed] [DOI]

Westbrook, JI, Duffield, C, Li, L, Creswick, NJ. How much time do nurses have for patients? A longitudinal study quantifying hospital nurses' patterns of task time distribution and interactions with health professionals. BMC Health Serv Res. 2011; 11: 319 [OpenAIRE] [PubMed] [DOI]

Lofgren, ET, Moehring, RW, Anderson, DJ, Weber, DJ, Fefferman, NH. A mathematical model to evaluate the routine use of fecal microbiota transplantation to prevent incident and recurrent Clostridium Difficile infection. Infect Control Hosp Epidemiol. 2014; 35 (1): 18-27 [OpenAIRE] [PubMed] [DOI]

Lofgren, ET, Cole, SR, Weber, DJ. Hospital-acquired Clostridium Difficile infections: estimating all-cause mortality and length of stay. Epidemiology. 2014; 25 (4): 570-575 [OpenAIRE] [PubMed] [DOI]

11.Sunnåker M, Busetto AG, Numminen E. Approximate bayesian computation. PLoS Comput Biol. 2013;9

Lofgren, ET. Pools versus queues: the variable dynamics of stochastic "steady states". PLoS One. 2015; 10 (6): e0130574 [OpenAIRE] [PubMed] [DOI]

Gillespie, DT. Exact stochastic simulation of coupled chemical reactions. J Phys Chem. 1977; 81 (25): 2340-2361 [OpenAIRE] [DOI]

Maarleveld, TR, Olivier, BG, Bruggeman, FJ. StochPy: a comprehensive, user-friendly tool for simulating stochastic biological processes. PLoS One. 2013; 8 (11) [OpenAIRE] [PubMed] [DOI]

Stelfox, HT, Bates, DW, Redelmeier, DA. Safety of patients isolated for infection control. JAMA. 2003; 290 (14): 1899-1905 [OpenAIRE] [PubMed] [DOI]

21 references, page 1 of 2
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