Using literature based clinical outcome estimates of EMPs for ICU patients, we developed a financial impact model and simulated the impact of introducing an EMP in an ICU on costs to hospitals, third-party payers, and capitated healthcare delivery systems.
Primary outcome Estimates of the range of cost-effectiveness of HITs.
Estimates of ICCs vary according to setting and type of outcome: estimates of ICCs for process variables are higher than those for patient outcomes, and estimates derived from secondary care are higher than those from primary care.
Measurement of publication bias was not assessed for this review, as pooled outcome estimates of efficacy were not carried out, as typical in meta-analysis, but all studies with assays of microbiota were included to limit bias.
If participants with missing data and complete data differ with respect to exposure and outcome, estimates of association based on fully observed cases (known as a complete-case analysis) might be biased.
We corrected outcome estimates of the multilevel analyses for age, sex, educational level, significant differences at baseline (frailty and disability), and the baseline status of the outcome variable (in the case of secondary outcomes) by including these variables as covariates in each model.
No statistically significant relationships were found between any of the exercise categories and changes in BMI or body mass; because only one RT study reported BMI as an outcome, estimates of effect were not calculated for BMI within this exercise category.
The primary outcomes comprise feasibility and acceptability of phone-delivery; secondary outcomes are estimates of efficacy of MT on adherence to ART and safer sexual practices as well as on their hypothesized antecedents.
Limitations include the sample size, which affects the precision of some of the outcome estimates, the lack of longitudinal data for analysis of individual cases, and the lack of available objective measures of disease activity due to the study design.
"By using techniques such as mathematical modeling to analyze complex situations, operations research provides the power to make more effective decisions and build more productive systems based on more complete data; consideration of all available options; careful predictions of outcomes and estimates of risk; and the latest decision tools and techniques".
