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Subsequently, two important indicators (proportion of delay in the crossing time, i.e. PDC, and local density level, i.e. LDL) are introduced into the evaluation of pedestrian crossing efficiency and comfort level respectively.
These were the two mortality indicators (Maternal Mortality Ratio, under-five mortality rate) and two risk factor indicators (proportion of people with safe drinking water and proportion of people with basic sanitation).
However, as is evident from Table 1, in order to estimate one of the indicators (proportion of births attended by skilled health personnel) we will need a new module that can be easily incorporated into routine procedures.
Based on the guideline of Chinese cancer registration [8] and the standard of data inclusion in Cancer Incidence in Five Continents Volume IX [9], cancer registration data were evaluated by several quality indicators: proportion of morphologic verification (MV%), percentage of cancer cases identified with death certification only (DCO%), and mortality/incidence ratio (M/I) [10]– [10].
Based on "Guideline of Chinese Cancer Registration" and the standard of data inclusion in "Cancer Incidence in Five Continents Volume IX" [2], cancer registration data were evaluated by the following quality indicators: proportion of morphologic verification (MV%), percentage of cancer cases identified with death certification only (DCO%), and mortality-to-incidence ratio (M/I) [3]– [5].
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We compared two monitoring indicators, proportions of patients retained on ART and of patients LFU at 12 months.
Comparisons of health indicators proportions reveal great heterogeneity in health status (Table 2).
Performance of five risk adjustment models was evaluated from three aspects: statistical indicators, proportions of true cases identified by models, and characteristics of predicted cases.
We also had to establish the percentage of patients with LBP visiting a practice who should receive the care proposed by the quality indicator (proportion of quality indicators reached).
In recognition of the growing importance of indirect causes of maternal mortality, the indicator "proportion of institutional maternal deaths due to indirect causes" was added in 2009 to a widely used set of indicators for monitoring emergency obstetric care and promoted by the UN agencies [ 24].
The overall rates at which SSI indicators identified true SSI were comparable to those we previously described for CABG procedures (21 ), if one applies the same criteria, considering only records that provided some explanation of the claims-based indicator (proportion with confirmed SSI or signs and symptoms: 63% for breast surgery, 68% for cesarean sections, 66% for CABG).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com