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Showing 41 - 60 results of 42,193 for search '(( significant decrease costs ) OR ( significant effect decrease ))', query time: 0.62s Refine Results
  1. 41
    ITSA regression results of weekly prescription rates of NVBP varieties before and after DIP payment intervention.

    ITSA regression results of weekly prescription rates of NVBP varieties before and after DIP payment intervention. by Chenxuan Zhu (22622476)

    Published 2025
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  2. 42
    Trends in the days of third-generation cephalosporin therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of third-generation cephalosporin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  3. 43
    Trends in the incidence of extended-spectrum β-lactamase (ESBL)- producing Enterobacteriaceae per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of extended-spectrum β-lactamase (ESBL)- producing Enterobacteriaceae per 1000 patients, by month, during the pre-intervention period (Phase 1) and interven... by Naoya Itoh (6029276)

    Published 2023
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  4. 44
    Trends in the incidence of methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional pe... by Naoya Itoh (6029276)

    Published 2023
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  5. 45
    Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  6. 46
    Trends in the incidence of penicillin-resistant <i>Streptococcus pneumoniae</i> (PRSP) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of penicillin-resistant <i>Streptococcus pneumoniae</i> (PRSP) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional... by Naoya Itoh (6029276)

    Published 2023
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  7. 47
    Trends in the incidence of resistant <i>Haemophilus influenzae</i> per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of resistant <i>Haemophilus influenzae</i> per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).... by Naoya Itoh (6029276)

    Published 2023
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  8. 48
    S1 Dataset -

    S1 Dataset - by Naoya Itoh (6029276)

    Published 2023
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  9. 49
    Trends in the incidence of <i>Clostridioides difficile</i> infection (CDI) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of <i>Clostridioides difficile</i> infection (CDI) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phas... by Naoya Itoh (6029276)

    Published 2023
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  10. 50
    Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

    Published 2023
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  11. 51
    Pop-up for oral 3GC prescription.

    Pop-up for oral 3GC prescription. by Naoya Itoh (6029276)

    Published 2023
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  12. 52
    Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  13. 53
    Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  14. 54
    Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

    Published 2023
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  15. 55
    Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  16. 56
    Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  17. 57
    Clustering effect.

    Clustering effect. by Zhongbo Peng (16884034)

    Published 2024
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  18. 58
    Descriptive statistics for total cumulative study treatment costs.

    Descriptive statistics for total cumulative study treatment costs. by Phoebe K. McCutchan (12042038)

    Published 2022
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  19. 59
    Graphs showing the potential benefits obtained for viticulture, olive growing and cereal cultivation according to the variations in the values of each parameter considered in the model (precipitation, temperatures, market prices and transport costs).

    Graphs showing the potential benefits obtained for viticulture, olive growing and cereal cultivation according to the variations in the values of each parameter considered in the m... by Nicolas Bernigaud (18264566)

    Published 2024
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  20. 60
    Comparable characteristics between the two groups after PSM.

    Comparable characteristics between the two groups after PSM. by Long Xue (10926423)

    Published 2022
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