Denominator Sample Clauses

Denominator. To be based on the 2016 Census-based ERP for 4 year olds from 2017 onwards. Identifiers Person ID (SLK 581): The SLK will provide a unique identifier for the vast majority of children. For the small percentage that may have the same SLK, legitimate duplicates can be identified by jurisdictions by using a child/student database to check the name, date of birth, sex and address details of each child with an identical SLK. Matching SLKs should be identified appropriately. See Appendix A: ‘Creating unique child records from episode records’. Identifier data elements Child/Person URL data elements:  Statistical linkage key 581 (METeOR Id 349895) Data collection details Data source(s) Numerator: NECECC Denominator: ABS Estimated Resident Population, available via Australian Demographic Statistics (ABS cat. no. 3101.0) Frequency of data source collection Numerator: Annual Denominator: Annual
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Denominator. To be based on the population projections for Aboriginal and Xxxxxx Xxxxxx Islander 4 year olds from the latest published data. Identifiers Person ID (SLK 581): The SLK will provide a unique identifier for the vast majority of children. For the small percentage that may have the same SLK, legitimate duplicates can be identified by jurisdictions by using a child/student database to check the name, date of birth, sex and address details of each child with an identical SLK. Matching SLKs should be identified appropriately. See Appendix A: ‘Creating unique child records from episode records’. Identifier data elements Child/Person URL data elements:  Statistical linkage key 581 (METeOR Id 349895) Data collection details Data source(s) Numerator: NECECC Denominator: Experimental Estimates and Projections, Aboriginal and Xxxxxx Xxxxxx Islander Australians, 2001 to 2026 (ABS cat. no. 3238.0) Frequency of data source collection Numerator: Annual Denominator: Annual intercensal estimates; Aboriginal and Xxxxxx Xxxxxx Islander population projections
Denominator. (i) Long-Term Debt, Net of Unamortized Discount and Debt Issuance Costs $ [ ]
Denominator. Total number of E. coli O157:H7 isolates for which the state performed PFGE subtyping Target: 90%. Why is this measure important? Awardees need to be able to inform local, state, and national laboratorians and epidemiologists of disease occurrences in a timely manner to determine the extent and scope of potential outbreaks and to minimize the effects of these outbreaks. Performing PFGE subtyping and submitting data results to the PulseNet electronic database in a timely manner indicates the public health laboratory’s ability to subtype specific bacteria and share results quickly. What other requirements are there for reporting measure data? Data for this performance measure will be collected by the Epidemiology and Laboratory Capacity cooperative agreement program (from its awardees) as well as extracted from the PulseNet national database, and shared with DSLR. PHEP awardees that allocate PHEP funding towards PFGE activities will be required to verify these data. Data from this measure, irrespective of PHEP funding, may be reported in CDC’s State-by- State Public Health Preparedness Report. What data must be reported?
Denominator. Total number of primary patterns from sub-typed E. coli O157:H7 human isolates uploaded into the PulseNet national database. Performance Target: 90%. Why is this measure important? Awardees need to be able to inform local, state, and national laboratorians and epidemiologists of disease occurrences in a timely manner to determine the extent and scope of potential outbreaks and to minimize the effects of these outbreaks. Performing PFGE subtyping and submitting data results to the PulseNet electronic database in a timely manner indicates the public health laboratory’s ability to subtype specific bacteria and share results quickly. Pre-Incident What other requirements are there for reporting measure data? Core Public Response Data for this performance measure will be collected by the Epidemiology and Laboratory Capacity cooperative agreement program (from its awardees) as well as extracted from the PulseNet national database, and shared with DSLR. PHEP awardees that allocate PHEP funding towards PFGE activities will be required to verify these data. Data from this measure, irrespective of PHEP funding, may be reported in CDC’s NSPHP. The reporting period for this performance measure is Calendar Year (CY) 2017. What data must be reported?
Denominator. The denominator is obtained by summing all children aged 4 or 5 years who reside in areas with a SEIFA IRSD quintile of 1 (based on Statistical Area 1, SA1) and who have a ‘Yes’ response against the child level data element ‘Early childhood education program enrolment indicator’ (representing enrolment in the year before full-time schooling). Notes and Exceptions Disadvantage is measured using the ABS Index of Relative Socio-economic Disadvantage (IRSD) derived from the 2016 ABS Census of Population and Housing. IRSD is a general socio-economic index that summarises a range of information about the economic and social resources of people and households within an area. Census variables that comprise this index include low income, no qualifications, low educational attainment, unemployment, overcrowded housing, disability, dwellings without motor vehicles, and Indigenous status. See the ABS website for more information (Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2016, ABS cat. no. 2033.0.55.001). The use of SEIFA IRSD to measure disadvantage for this performance indicator may be reviewed pending national agreement on a definition of vulnerable and disadvantaged children. Identifiers Person ID (SLK 581): The SLK will provide a unique identifier for the vast majority of children. For the small percentage that may have the same SLK, legitimate duplicates can be identified by jurisdictions by using a child/student database to check the name, date of birth, sex and address details of each child with an identical SLK. Matching SLKs should be identified appropriately. See Appendix A: ‘Creating unique child records from episode records’. Identifier data elements Child/Person URL data elements: Statistical linkage key 581 (METeOR Id 349895) Data collection details Data source(s) Numerator: NECECC Denominator: NECECC Frequency of data source collection Numerator: Annual Denominator: Annual Performance Indicator 4 Proportion of enrolled children who attend, in the year before full-time school, quality early childhood education program(s) for 600 hours per year
Denominator. The denominator is obtained by summing all children aged 4 or 5 years who reside in areas with a SEIFA IRSD quintile of 1 (based on Statistical Area 1, SA1) and who have a ‘Yes’ response against the child level data element ‘Early childhood education program enrolment indicator’ (representing enrolment in the year before full-time schooling), and who are enrolled in a program(s) for a total of 600 hours or more per year. Notes and Exceptions Disadvantage is measured using the ABS Index of Relative Socio-economic Disadvantage (IRSD) derived from the 2016 ABS Census of Population and Housing. IRSD is a general socio-economic index that summarises a range of information about the economic and social resources of people and households within an area. Census variables that comprise this index include low income, no qualifications, low educational attainment, unemployment, overcrowded housing, disability, dwellings without motor vehicles, and Indigenous status. See the ABS website for more information (Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2016, ABS cat. no. 2033.0.55.001). The use of SEIFA IRSD to measure disadvantage for this performance indicator may be reviewed pending national agreement on a definition of vulnerable and disadvantaged children. Identifiers Person ID (SLK 581): The SLK will provide a unique identifier for the vast majority of children. For the small percentage that may have the same SLK, legitimate duplicates can be identified by jurisdictions by using a child/student database to check the name, date of birth, sex and address details of each child with an identical SLK. Matching SLKs should be identified appropriately. See Appendix A: ‘Creating unique child records from episode records’. Identifier data elements Child/Person URL data elements: Statistical linkage key 581 (METeOR Id 349895) Data collection details Data source(s) Numerator: NECECC Denominator: NECECC Frequency of data source collection Numerator: Annual Denominator: Annual
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Denominator. (i) net cash taxes paid for the previous four fiscal quarters ending on such day, (ii) PLUS scheduled current maturities of any Indebtedness for the next four fiscal quarters (excluding the maturity of the Revolving Loans on the Termination Date), (iii) PLUS Consolidated Interest Expense for the previous four fiscal quarters ending on such day (excluding amounts included in Consolidated Interest Expense for amortization of deferred financing fees).
Denominator. Total number of hours of authorized agency-based personal care services for Members. “Unfulfilled hours” represent hours of authorized personal care services that were not provided to Members due to both insufficient staffing and categorized as unable to locate and difficult to engage (UTL/DTE). Unfulfilled hours includes no shows and any hours missed due to tardy arrivals. The CONTRACTOR shall provide quarterly reports to HCA, including authorized hours; hours of personal care services provided; and unfulfilled hours. The CONTRACTOR shall categorize and report unfulfilled hours as follows: Insufficient staffing; Members traveling out-of-state or away from where services are delivered; Members/guardians who refused personal care services; Members in a hospital, inpatient setting, or NF; Members who were incarcerated (outside of the suspension period); and Members that are unable to be located (UTL) or difficult to engage (DTE) The quarterly reports shall include an analysis of trends observed. The quarterly reports are due to HCA thirty (30) Calendar Days after the end of each quarter. 10
Denominator. The number of episodes of admitted patient care where the patient physically departs from an emergency department short stay unit. Data Element / Data Set Episode of admitted patient care—emergency department short stay unit departure destination, code N Data Source National Hospital Morbidity Database (NHMD) NMDS / DSS Admitted patient care NMDS 2014-15 Denominator data elements: Disaggregation: Disaggregation is by state/territory and hospital. Data Element / Data Set Establishment—organisation identifier (state/territory), NNNNN Data Source National Hospital Morbidity Database (NHMD) NMDS / DSS Admitted patient care NMDS 2014-15 Disaggregation data elements: Comments: ‘Discharge’ refers to the formal separation of a patient, as defined in the National Health Data Dictionary. The scope of this indicator is all hospitals for which the National Emergency Access Target applies, that is, all hospitals reporting to the Non-admitted patient emergency department care (NAPEDC) NMDS (Peer Groups A, B and other) as at August 2011. The scope has been recommended by the Expert Panel's Review of Elective Surgery and Emergency Access Targets under the National Partnership Agreement on Improving Public Hospital Services (Recommendation 9) and agreed by the Council of Australian Governments in the National Health Reform Agreement - National Partnership Agreement on Improving Public Hospital Services (Clause 5). Representational attributes Representation class: Percentage Data type: Real Unit of measure: Episode Format: NN[N].N Data source attributes Data sources: Data Source National Hospital Morbidity Database (NHMD) Frequency Annual Data custodian Australian Institute of Health and Welfare Accountability attributes Reporting requirements: National Partnership Agreement on Improving Public Hospital Services Organisation responsible for providing data: Australian Institute of Health and Welfare Source and reference attributes Reference documents: Council of Australian Governments, 2011. Expert Panel Review of Elective Surgery and Emergency Access Targets under the National Partnership Agreement on Improving Public Hospital Services. Council of Australian Governments, Canberra. Viewed 7 February 2014, xxxx://xxx.xxxx.xxx.xx/xxxxx/xxxxxxx/xxxxx/Xxxxxx_Xxxxx_Xxxxxx%00X0000.xxx
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