Infection Control & Hospital Epidemiology
Table 1. Targeted Evidence-Based Practice Recommendations to Minimize Treatment for Asymptomatic Bacteriuria Practice Recommendation
Description of the Practice Recommendation Screening for bacteriuria
Discontinue routine urine screening (eg, at admission and annually) unless residents have clinical signs and symptomsa of a UTI.8,10 Accepted clinical signs and symptoms of a UTI are defined as: new difficult or painful urination (acute dysuria) alone or 2 or more of the following: fever, new flank or suprapubic pain, new or increased urinary frequency/ urgency, gross hematuria, and acute onset of delirium in residents with advanced dementia.11,12,19
Diagnostic tools
Discontinue use of dipsticks to diagnose a UTI. Clinical symptoms of a UTI (defined above) and a positive culture are required for a UTI diagnosis.8,20
When to collect a urine sample for culture Obtain urine cultures only when residents have been determined to have accepted clinical signs and symptoms of a UTI.8
How to collect a urine sample
Obtain urine cultures using proper technique to avoid contamination. This includes the use of a clean catch or midstream collection or in/out catheterization and adherence to aseptic technique.
Store urine cultures under refrigeration if transport is not immediate. When to prescribe antibiotics
Prescribe antibiotics only when clinical criteria for UTI are present (as defined above). Review and reassess when urine culture and susceptibility results are received.
A bacterial count greater than or equal to 108 CFU/L with typical signs or symptoms of a UTI is considered diagnostic.8 If antibiotics are started empirically, the physician or nurse practitioner should reassess the need for, choice, and duration of antibiotic therapy based on the culture and susceptibility report.
Note. UTI, urinary tract infection. CFU, colony-forming units. aAccepted clinical signs and symptoms of a UTI were based on the Loeb 2005 criteria19 and additional considerations to reflect challenges in diagnosing residents who have advanced dementia.11,12
address similar determinants of behavior change or focus on a common barrier to practice change (eg, knowledge gaps). It is important to understand the mechanisms by which various strategies are intended to influence behavior change. The theoretical domains framework (TDF), which was devel-
oped to examine the factors that influence healthcare professional behaviors when implementing evidence-based practice recom- mendations, is based on a synthesis of 33 behavior-change theories.15,16 The TDF includes 14 domains: knowledge, skills, memory, attention and decision processes, behavioral regulation, social or professional role and identity, beliefs about capabilities, optimism, beliefs about consequences, intentions, goals, reinfor- cement, emotions, environmental context and resources, and social influences.16 The TDF helps the user categorize known barriers and facilitators to practice change and select imple- mentation strategies. The Infection Prevention and Control Department at Public
Health Ontario set out to develop a program using intervention mapping approaches to assist LTCFs to minimize antibiotic prescribing for asymptomatic bacteriuria, focusing on barriers and facilitators to practice change. This department at Public Health Ontario supports the dissemination and implementation of best practices in infection prevention and control and anti- microbial stewardship across healthcare settings in Ontario. This article describes the data sources and processes used to develop a program to reduce antibiotic overuse in long-term care.
Methods
A multidisciplinary team was established, composed of 2 physi- cians with specialization in infectious diseases, a pharmacist with specialization in antimicrobial stewardship, infection control specialists with backgrounds in nursing and medical laboratory sciences, and staff with expertise in evaluation, behavioral science, and implementation science. An intervention mapping approach was used to develop the program drawing on methods that incorporate the TDF.17 This
Analysis of barriers and facilitators
We used a descriptive coding process to summarize information from relevant excerpts in the online survey using descriptive codes and an open and inductive coding process. Three members of the team reviewed, discussed, and mapped each barrier or facilitator statement to the TDF.24,25 Some of the barrier and facilitator statements were mapped to >1 domain. The team also indicated whether each barrier or facilitator statement was related
stepped approach to developing evidence and theory-informed programs provides a guide to selecting strategies to address known barriers and facilitators to practice change. Several applications of this stepped approach have been described in the literature, with a focus on improving the implementation of clinical practice recommendations.18 An integrated knowledge translation approach was also incorporated to involve LTCF stakeholders in the program development process.
Identification of barriers and facilitators
Following the selection of the key areas for practice improvement (Table 1), barriers and facilitators to aligning with the practice recommendations were identified from the literature,14,21–23 and through an online survey. The survey was distributed to 643 infection control practitioners in long-term care in 2014 using a stakeholder relationship management database maintained by Public Health Ontario. Recipients were encouraged to forward the invitation to anyone in their LTCF involved in the prevention, identification, diagnosis, and/or treatment of UTIs. The survey included structured questions about current practices around the assessment and management of UTIs in addition to open-ended questions to obtain additional information on issues and other contextual information that influenced assessment and prescrib- ing practices. This article reports the analysis of excerpts from the open-ended questions related to barriers and facilitators to aligning with best practices to help the project team understand why antibiotics are overprescribed in this setting.
25
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136