TY - JOUR
T1 - Controlling the chaos
T2 - Information management in home-infusion central-line-associated bloodstream infection (CLABSI) surveillance
AU - Hannum, Susan M.
AU - Oladapo-Shittu, Opeyemi
AU - Salinas, Alejandra B.
AU - Weems, Kimberly
AU - Marsteller, Jill
AU - Gurses, Ayse P.
AU - Shpitser, Ilya
AU - Klein, Eili
AU - Cosgrove, Sara E.
AU - Keller, Sara C.
N1 - Funding Information:
This research was supported by the Agency for Healthcare Research and Quality (grant no. R01HS027819 to S.C.K.).
Publisher Copyright:
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.
PY - 2023/4/11
Y1 - 2023/4/11
N2 - Objectives: Access to patient information may affect how home-infusion surveillance staff identify central-line-associated bloodstream infections (CLABSIs). We characterized information hazards in home-infusion CLABSI surveillance and identified possible strategies to mitigate information hazards. Design: Qualitative study using semistructured interviews. Setting and participants: The study included 21 clinical staff members involved in CLABSI surveillance at 5 large home-infusion agencies covering 13 states and the District of Columbia. Methods: Interviews were conducted by 1 researcher. Transcripts were coded by 2 researchers; consensus was reached by discussion. Results: Data revealed the following barriers: information overload, information underload, information scatter, information conflict, and erroneous information. Respondents identified 5 strategies to mitigate information chaos: (1) engage information technology in developing reports; (2) develop streamlined processes for acquiring and sharing data among staff; (3) enable staff access to hospital electronic health records; (4) use a single, validated, home-infusion CLABSI surveillance definition; and (5) develop relationships between home-infusion surveillance staff and inpatient healthcare workers. Conclusions: Information chaos occurs in home-infusion CLABSI surveillance and may affect the development of accurate CLABSI rates in home-infusion therapy. Implementing strategies to minimize information chaos will enhance intra- and interteam collaborations in addition to improving patient-related outcomes.
AB - Objectives: Access to patient information may affect how home-infusion surveillance staff identify central-line-associated bloodstream infections (CLABSIs). We characterized information hazards in home-infusion CLABSI surveillance and identified possible strategies to mitigate information hazards. Design: Qualitative study using semistructured interviews. Setting and participants: The study included 21 clinical staff members involved in CLABSI surveillance at 5 large home-infusion agencies covering 13 states and the District of Columbia. Methods: Interviews were conducted by 1 researcher. Transcripts were coded by 2 researchers; consensus was reached by discussion. Results: Data revealed the following barriers: information overload, information underload, information scatter, information conflict, and erroneous information. Respondents identified 5 strategies to mitigate information chaos: (1) engage information technology in developing reports; (2) develop streamlined processes for acquiring and sharing data among staff; (3) enable staff access to hospital electronic health records; (4) use a single, validated, home-infusion CLABSI surveillance definition; and (5) develop relationships between home-infusion surveillance staff and inpatient healthcare workers. Conclusions: Information chaos occurs in home-infusion CLABSI surveillance and may affect the development of accurate CLABSI rates in home-infusion therapy. Implementing strategies to minimize information chaos will enhance intra- and interteam collaborations in addition to improving patient-related outcomes.
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U2 - 10.1017/ash.2023.134
DO - 10.1017/ash.2023.134
M3 - Article
C2 - 37113198
AN - SCOPUS:85152669839
SN - 2732-494X
VL - 3
JO - Antimicrobial Stewardship and Healthcare Epidemiology
JF - Antimicrobial Stewardship and Healthcare Epidemiology
IS - 1
M1 - e69
ER -