Content by Keyword: Confidentiality

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VII. Influential Scientific, Financial and

HHS Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated to the Public. VII. Influential Scientific, Financial and Statistical Information

From time to time, AHRQ disseminates influential information, including statistical information, as defined in the OMB Guidelines. By "influential," OMB is referring to information "that the agency can reasonably determine...will have or does have a clear and substantial impact on important public policies or important private sector decisions." I
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V. Agency Quality Assurance Policies, Standards

HHS Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated to the Public. V. Agency Quality Assurance Policies, Standards and Processes for Ensuring the Quality of Information Disseminated to the Public

The quality assurance process begins at the inception of the information development process. AHRQ reviews the quality (including the objectivity, utility, and integrity) of information before it is disseminated and treats information quality as integral to every step of the development of information, including creation, collection, maintenance,
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f. Influential Scientific, Financial, and

HHS Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated to the Public. f. Influential Scientific, Financial, and Statistical Information

From time to time, HHS agencies disseminate influential scientific, financial and statistical information as defined in the OMB Guidelines. In such instances, care is taken to ensure that the information is substantially reproducible and replicable. This goal is accomplished by using reliable data sources and sound analytical techniques, and by em
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e. HHS Information Quality Goals

HHS Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated to the Public. e. HHS Information Quality Goals

The development of data and information within HHS is generally undertaken within the context of two overarching goals:
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2. Definitions

HHS Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated to the Public. 2. Definitions

"Quality" is an encompassing term comprising utility, objectivity, and Integrity. Therefore, the Guidelines sometimes refer to these four statutory terms, collectively, as "quality."
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HHS Guidelines for Ensuring and Maximizing the

HHS Guidelines for Ensuring and Maximizing the Quality, Objectivity, Utility, and Integrity of Information Disseminated to the Public

This site describes the HHS Information Quality Guidelines as well as the supporting administrative mechanisms to request correction of information covered under the guidelines. The HHS Guidelines were developed in accordance with the provisions of P.L. 106-554 and OMB government-wide requirements directing all federal agencies to issue guidelines
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Minimizing Disclosure Risk in HHS Open Data

Minimizing Disclosure Risk in HHS Open Data Initiatives

Federal agencies have a long history of releasing data to the public, and they also have a legal obligation to protect the confidentiality of the individuals and organizations from which the data were collected. Federal agencies have successfully balanced these two objectives for decades.
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Endnotes

Adoption USA. A Chartbook Based on the 2007 National Survey of Adoptive Parents. Endnotes

1 See: U.S. Department of Health and Human Services, Administration for Children and Families. 2006. The basics of adoption practice. Available online at: www.Childwelfare.gov/pubs/f_basicsbullentin/.
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Improving Data for Decision Making: HHS Data

Improving Data for Decision Making: HHS Data Collection Strategies for a Transformed Health System

EXECUTIVE SUMMARY Contents Introduction and Background Data Needs and Priorities Research and Development to Improve HHS Data Collection Systems Web Panels and Web Surveys Timeliness of HHS Data Systems Access to HHS Data Non-Traditional Data Sources
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Frontline Supervisor Survey Report

Frontline Supervisor Survey Report

Peter Kemper, Diane Brannon, Brigitt Heier, Jungyoon Kim, Candy Warner, Joe Vasey and Amy Stott Pennsylvania State University, Center for Health Care and Policy Research September 9, 2008 PDF Version: http://aspe.hhs.gov/daltcp/reports/2008/FSSrpt.pdf (69 PDF pages)
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Appendix E – Review of National Datasets and Data

Understanding Disparities in Persons with Multiple Chronic Conditions: Research Approaches and Datasets. Appendix E – Review of National Datasets and Data Systems: Summary Tables

Disclaimer: The information contained in this appendix was compiled by Abt Associates Inc. under contract #HHSP2333700IT to the Assistant Secretary for Planning and Evaluation (ASPE) in September 2013. Abt and ASPE are not liable for the accuracy or completeness of the information contained in this document, as the specifications of each data sy
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APPENDIX C. SEMI-STRUCTURED INTERVIEW GUIDE FOR

Characteristics of Long-Term Care Registered Apprenticeship Programs: Implications for Evaluation Design. Appendix C. Semi-structured Interview Guide for LTC RAP Site Visits

Development of Potential Research Designs to Evaluate the Long-Term Care Registered Apprenticeship Program Site Visit Interview Guide Introduction
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APPENDIX B. SITE SUMMARIES

Characteristics of Long-Term Care Registered Apprenticeship Programs: Implications for Evaluation Design. Appendix B. Site Summaries

Development Services Incorporated Program Sponsor: Development Services Incorporated   Apprenticeship Occupation:   Direct Support Specialist (DSS)
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APPENDIX A. CORE COMPETENCIES BY LTC RAP

Characteristics of Long-Term Care Registered Apprenticeship Programs: Implications for Evaluation Design. Appendix A. CORE Competencies by LTC RAP

Core competencies taught in the Long-Term Care Registered Apprenticeship Program (LTC RAP) sites are presented below. In some cases, investigators were provided with a list of core competency training by the sites, and in other cases these lists were supplemented with a description of the specific courses in which these courses were taught. For ex
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6.3. Focus Groups

Evaluation Design Options for the Long-Term Care Registered Apprenticeship Program. 6.3. Focus Groups

Primary data collection using focus groups may provide a low-cost research design option that would obtain information to inform policy. Focus groups would provide a means for apprentices to voice opinions on a range of topics about how the apprenticeship program works from their perspective, its strengths and weaknesses, and how it could be impro
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Evaluation Design Options for the Long-Term Care

Evaluation Design Options for the Long-Term Care Registered Apprenticeship Program

This report is the final deliverable of a joint project sponsored ASPE/HHS and U.S. Department of Labor to assess the feasibility of conducting a rigorous evaluation of the LTC RAP. This analysis evaluates possible research designs to evaluate the Long-Term Care Registered Apprenticeship Program (LTC RAP) administered by the U.S. Department of Lab
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APPENDIX D. NORTH CAROLINA'S 1915(b)/(c)

Quality in Managed Long-Term Services and Supports Programs. Appendix D. North Carolina's 1915(b)/(c) Medicaid Waiver for Mental HEALTH/ Developmental DISABILITIES/SUBSTANCE Abuse Services

  Element     Description   MLTSS Program North Carolina 1915(b)/(c) Medicaid Waiver for MH/DD/SAS Lead Agency
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Quality in Managed Long-Term Services and

Quality in Managed Long-Term Services and Supports Programs

This report explores how several states have designed their quality monitoring and improvement programs for managed long-term services and supports (MLTSS). The authors focus on the early adopters of MLTSS as well as those programs that are presented considered "established". The findings demonstrate how states take somewhat different approaches
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G. Information Systems and Data Infrastructure

Strategies for Integrating and Coordinating Care for Behavioral Health Populations: Case Studies of Four States. G. Information Systems and Data Infrastructure

CCNC's work relies heavily on data and information systems at the program, network, and provider levels. At the program level, CCNC uses Medicaid claims data, real-time hospital data, and other clinical information from provider EHRs, along with proprietary risk-adjustment software developed by Treo Solutions, Inc., to identify "priority patients"
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Strategies for Integrating and Coordinating Care

Strategies for Integrating and Coordinating Care for Behavioral Health Populations: Case Studies of Four States

This report describes the different strategies that four states--Louisiana, North Carolina, Tennessee and Vermont--are utilizing to improve the integration and coordination of care for individuals with mental health and substance use disorders. These strategies include introducing new managed care arrangements and care coordination mechanisms, enh
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Form Approved OMB# 0990-0379 Exp. Date 9/30/2020