The Water and Sanitation for Health Facility Improvement Tool (WASH FIT) presents a framework and acts as a guide to support multisectoral action to improve water, sanitation and hygiene (WASH) in health care. Central to the WASH FIT methodology is training and incremental improvements.
Implementat...ion of WASH FIT requires six preparatory steps at the national level, one of which is conducting national sensitization and training of trainers, followed by facility-level training. At the facility level, step 1 (of five) involves establishing and training a WASH FIT team.
The WASH FIT methodology is outlined in WASH FIT: A practical guide for improving quality of care through water, sanitation and hygiene in health care facilities. Second edition. (the WASH FIT guide), which includes a set of templates designed to help users with each phase of the improvement cycle.
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BACKGROUND: Growing political attention to antimicrobial resistance (AMR) offers a rare opportunity for achieving meaningful action. Many governments have developed national AMR action plans, but most have not yet implemented policy interventions to reduce antimicrobial overuse. A systematic evidenc...e map can support governments in making evidence-informed decisions about implementing programs to reduce AMR, by identifying, describing, and assessing the full range of evaluated government policy options to reduce antimicrobial use in humans.
METHODS AND FINDINGS: Seven databases were searched from inception to January 28, 2019, (MEDLINE, CINAHL, EMBASE, PAIS Index, Cochrane Central Register of Controlled Trials, Web of Science, and PubMed). We identified studies that (1) clearly described a government policy intervention aimed at reducing human antimicrobial use, and (2) applied a quantitative design to measure the impact. We found 69 unique evaluations of government policy interventions carried out across 4 of the 6 WHO regions. These evaluations included randomized controlled trials (n = 4), non-randomized controlled trials (n = 3), controlled before-and-after designs (n = 7), interrupted time series designs (n = 25), uncontrolled before-and-after designs (n = 18), descriptive designs (n = 10), and cohort designs (n = 2). From these we identified 17 unique policy options for governments to reduce the human use of antimicrobials. Many studies evaluated public awareness campaigns (n = 17) and antimicrobial guidelines (n = 13); however, others offered different policy options such as professional regulation, restricted reimbursement, pay for performance, and prescription requirements. Identifying these policies can inform the development of future policies and evaluations in different contexts and health systems. Limitations of our study include the possible omission of unpublished initiatives, and that policies not evaluated with respect to antimicrobial use have not been captured in this review.
CONCLUSIONS: To our knowledge this is the first study to provide policy makers with synthesized evidence on specific government policy interventions addressing AMR. In the future, governments should ensure that AMR policy interventions are evaluated using rigorous study designs and that study results are published.
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Introduction
Chapitre A.5
Edition en français
Traduction : Eleanor O’Boyle
Sous la direction de : Priscille Gérardin
Avec le soutien de la SFPEADA
Dziva Chikwari et al. Implementation Science (2018) 13:70 https://doi.org/10.1186/s13012-018-0762-5
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