Data and Evaluation. 1. Ensure data in CARE System is current and accurate.
2. Develop, jointly with the County, data and evaluation procedures.
3. Participate in Quarterly Customer Service Survey as determined by the County.
Data and Evaluation. 80. The Parties recognise that comprehensive, accurate and accessible information is critical to mental health and suicide prevention system reform.
81. The Parties recognise the commitment made under the Intergovernmental Agreement on Data Sharing between Commonwealth and State and Territory governments, which commits all parties to share public sector data as a default position where it can be done securely, safely, lawfully and ethically. The Parties also recognise the role of whole of government data activities outlined in Schedule A [refer Schedule A - Improving Mental Health and Preventing Suicide Across Systems].
82. The Parties commit to continue collaborating to build the data and systems needed to understand and improve:
(a) Population mental health and wellbeing.
(b) The quality, safety and effectiveness of the mental health and suicide prevention system.
(c) Evaluation, transparency, reporting and accountability.
(d) Progress against the National Agreement on Closing the Gap commitments, including Outcome 14 (Aboriginal and Xxxxxx Strait Islander people enjoy high levels of social and emotional wellbeing), and Target 14 (significant and sustained reduction in suicide of Aboriginal and Xxxxxx Xxxxxx Islander peoples towards zero).
(e) Mental health and suicide prevention workforce planning.
83. The Parties agree to:
(a) Monitor and evaluate the mental health and suicide prevention system, including activities in this Agreement and associated Schedules, against the National Mental Health Performance Framework 2020 and future editions or other nationally agreed frameworks.
(b) The principles and priorities outlined in the National Mental Health and Suicide Prevention Information Development Priorities, Third Edition and future editions.
84. To oversee this work, the Parties agree to establish an appropriate governance forum, reporting to the HSO, with input from people with lived experience of mental illness and/or suicide and Aboriginal and Xxxxxx Strait Islander peoples that will:
(a) Agree on authorising frameworks and systems for data sharing and linking.
(b) Improve national consistency in Commonwealth, state and territory data collections, and agree minimum data specifications for jointly funded programs.
(c) Agree appropriate measurement and monitoring methodologies, including metrics for priority Key Performance Indicators (KPIs), that support evaluation of services and the mental health system against agreed objectives and outcomes.
(d) P...
Data and Evaluation. A collaborative commitment to tracking results will be key to documenting the long- term effectiveness of the Promise Zone initiative. XXX is committed to working with local partners to track the impact of their efforts and how their community is changing over time. Through its data and evaluation activities, HUD seeks to provide technical assistance and support to Promise Zone designees as they collect data and conduct evaluations of their Promise Zone effort. As outlined in greater detail in Appendix G, Promise Zones Data: Goals and Core Indicators, this approach supports the collection of key individual and community-level outcomes in order to evaluate the impact of the Promise Zone’s activities. This information will be gathered in several ways, as outlined below:
1) Group A: Indicators and measures in this group are those that can be easily tracked consistently across Promise Zones using administrative or other national data sets. Examples of these types of data include jobs created, job sectors, income, employment by sector, poverty concentration, and property values. Indicators in this group are typically available by census tract or other administrative boundaries.
2) Group B: Indicators in this group are consistent across Promise Zones but require local data sources. For example, indicators might include building permits, crime rates, high school graduation rates, and chronic absenteeism.
3) Group C: Indicators in this group are locally defined and require operationalizing. The data are likely drawn from federal and/or local sources. Examples of these indicators might include measures of school quality, workforce development, college entry, accessibility to pre-K or early childhood education, detailed measures of healthy food access, homeownership, and more.
4) Group D: Indicators and measures in this group are accessible through surveys, crowdsourcing and other individual-level data collection methods. Examples of these indicators might include perceived neighborhood quality, perception of safety and community trust in law enforcement, and community connectedness.
1) HUD shall provide a framework for data gathering and sharing across Promise Zone sites that incorporates common goals, policy areas and elements across Promise Zones, and complements local efforts to measure what is most meaningful in their specific context.
2) HUD shall provide Group A data metrics that are readily available to HUD or other federal partners for the specific geograph...
Data and Evaluation. ▪ Implement and maintain a secure, web-based ETO System to track outcomes and monitor case activities ▪ Ensure information are current and accurate. ▪ Work with the CFS, evaluators and other DR service providers in the data collection and evaluation of the DR program. ▪ Develop, jointly with the County, data and evaluation procedures.
Data and Evaluation. A. School Districts/Independent Charter Schools/CMOs, DCFS, and XXXXX agree to share relevant data to compile lessons learned and track progress.
B. School Districts/Independent Charter Schools/CMOs and DCFS will collect data on: • Lessons learned, • Potential barriers to countywide implementation, • Numbers of youth served, • Modes of transportation used, • Average distances traveled, • Costs associated with transportation, and • Other information that the parties agree is important for understanding lessons learned and program performance, and to develop recommendations for program improvement.
X. XXXXX will work on developing and implementing the Education Passport System to help the exchange and availability of clean education data between child welfare and education which will be helpful to assessing outcomes for school stability in the long term.
Data and Evaluation. ▪ Implement and maintain a secure, web-based system to track outcomes and monitor case activities ▪ Ensure information is current and accurate. ▪ Work with the CFS, Program Evaluators and other DR Service Providers in the data collection and evaluation of the DR program. ▪ Develop, jointly with the County, data and evaluation procedures.
