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
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. 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 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
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. Number of volunteers requested to deploy in support of a public health or medical incident within the requested timeframe. Why is this measure important? The immediate intent of this measure is to assess the timeliness of implementing key stages of volunteer management — from receipt of request, to activation of volunteers, to deployment — in order to determine key bottlenecks and chokepoints which inhibit timely deployment of volunteers. The broader programmatic intent of this measure is to ensure that the health or medical lead meets requests for volunteers in a timely manner. This measure is NOT intended to assess routine or day‐to‐day volunteer activities in healthcare organizations. What other requirements are there for reporting measure data? Reporting for this measure is required for all awardees. Reporting for this measure is required annually. Reporting for this measure is required at mid‐ year and end‐of‐year for BP 1. Awardees may report the numerator and denominator of this measure by incident, planned event or exercise at the State, sub‐ state regional or local level. For the purposes of reporting, awardees should include at least two incidents, exercises, or planned events. Across all incidents, exercises, or planned events reported, HPP and PHEP Volunteer Management capabilities must each be utilized or demonstrated at least once. What data must be reported? For each incident, planned event, or exercise reported on, please answer the following questions.
