Exact(5)
Training level may influence providers' treatment decisions.
The antibiogram is a tool that facilities can use to identify common resistance patterns (e.g. high levels of fluoroquinolone resistance), which may influence providers' empirical antibiotic decisions [ 91].
Finally, while each of the CR programs participating in this study provide services in accordance with Canadian guidelines [ 8], we cannot rule out diversity among programs which may influence providers' perspectives.
Other factors such as ease of use by patients and providers, applicability of the intervention for larger populations and across other chronic diseases, and the cost of implementation are important concerns that may influence providers' decisions about adopting interventions in their practices.
Early collaborative and multidisciplinary care models (including partnerships between patients' primary care and nephrology providers) have been advocated as a health care provider-targeted intervention to improve patients' CKD care and advanced RRT preparation [ 16- 21], but little is known about factors which may influence providers' collaborative engagement in RRT preparation.
Similar(55)
These results are significant because of potential concerns that the implementation of new drug combinations, while offering many patient advantages, may unduly influence provider prescribing behavior, independent of important clinical characteristics.
As noted by Town and colleagues, expectations about the future stability of new incentive schemes may influence whether providers will be responsive to these schemes.
To enable or influence providers to provide these more effective forms of CME, organisations concerned with CME provision to GPs may have to widen the methods used in working with providers towards this end.
And while 25OHD levels may influence several provider-centered health outcomes, its role in patient-centered outcomes among survivors of critical illness is unclear.
While evidence shows that HIV treatment can be effectively provided in such settings [16], [17], variations in political and socioeconomic factors may influence healthcare provider retention and patient loss to follow-up and mortality.
Propensity score matching may thus minimise selection bias, as it maximises the comparability of individuals on a set of observed variables that may influence the provider's decision to administer the treatment: in this case, route of repair.
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