Adoption

The Feasibility of Using Electronic Health Data for Research on Small Populations. The Need for Research on Small Populations

Research has found differences among segments of the population on nearly all aspects of health and health care. The ability to identify and document such differences is an essential starting point for improving people’s health. The four small populations that we selected illustrate a range of unanswered health and health care questions as well

The Feasibility of Using Electronic Health Data for Research on Small Populations. Introduction to Part II

Patients’ health records and other electronic health information are an essential part of care, documenting critical issues such as their history, preventive care, diagnostic tests, and diagnoses and treatments over time. Health records also facilitate information sharing among physicians, other health professionals, and provider organizations t

The Feasibility of Using Electronic Health Data for Research on Small Populations. Access issues

A fundamental challenge facing small communities is the high cost per capita of providing health services. 176 Investments to make services available in sparsely populated areas produce services for fewer people than do similar investments made in more populated areas.

The Feasibility of Using Electronic Health Data for Research on Small Populations. Data collection problems

Even if members of small populations are included in the sample, challenges remain in collecting information through a survey questionnaire. These challenges include: Unit Nonresponse

The Feasibility of Using Electronic Health Data for Research on Small Populations. The Growing Availability of Electronic Health Data

The Institute of Medicine sees EHRs as an essential part of a “learning health care system,” and many believe they are critical for the success of medical homes, accountable care organizations, and other provider payment and delivery system reforms resulting from the Affordable Care Act. The use of EHR data for research depends first of all on

Indicators of Welfare Dependence: Annual Report to Congress, 2001 . Appendix D. Sources of Data

As noted in Chapter I, this 2001 report uses data from the Annual March Demographic Supplement to the Current Population Survey (CPS) to construct updated measures of some of the indicators that were based on data from the Survey of Income and Program Participation (SIPP) in prior year reports. Specifically, the overall summary indicator of depe

Indicators of Welfare Dependence: Annual Report to Congress, 2001 . Economic Security Risk Factor 1. Poverty Rates

Figure ECON 1. Percentage of Persons in Poverty, by Age: 1959-1999

Indicators of Welfare Dependence: Annual Report to Congress, 2001 . Data Sources

This 2001 report relies more heavily than past reports on data from the Annual March Demographic Supplement to the Current Population Survey (CPS). Several of the indicators and predictors of dependence are now based on CPS data rather than data from the Survey of Income and Program Participation (SIPP). This change was necessary because the C

Indicators of Welfare Dependence: Annual Report to Congress, 2004. Technical Notes

Age Categories Most of the indicators are shown by age categories, generally children ages 0-15, adults 16-64, and adults 65 and older. Youth 17 and 18 years of age are often classified with adults because they are considered potential members of the labor force in many labor force statistics. Many of the risk factors, however, use published d

Indicators of Welfare Dependence: Annual Report to Congress, 1998. Appendix B. Poverty Data

Figure B-1. The Poverty Gap 1 and Reductions in the Gap from Cash and Non-Cash Transfers for All Persons, 1979 - 1996

Indicators of Welfare Dependence: Annual Report to Congress, 1998. Economic Security Risk Factor 8. Child SUPPORT

Child support provides critical income to families with children and reduces the likelihood of dependence. These child support risk factors reflect the presence and magnitude of child support payments made by noncustodial parents for families receiving services from the Child Support Enforcement Program. Figure ECON 8a. Total, Non-AFDC/TANF,

Indicators of Welfare Dependence: Annual Report to Congress, 1998. Economic Security Risk Factor 1. Poverty Rates

Poverty rates illustrate the economic condition of families and, as such, a key risk factor of dependence. Figure ECON 1a. Percentage in Poverty by Age

Indicators of Welfare Dependence: Annual Report to Congress, 2004. Economic Security Risk Factor 1. Poverty Rates

Figure ECON 1. Percentage of Persons in Poverty, by Age: 1959-2002 Source: U.S. Bureau of the Census, “Poverty in the United States: 2002,” Current Population Reports, Series P60-222 and data published online at http://www.census.gov/hhes/www/poverty.html.

Strategies for Measuring the Quality of Psychotherapy: A White Paper to Inform Measure Development and Implementation

Strategies for Measuring the Quality of Psychotherapy: A White Paper to Inform Measure Development and Implementation Executive Summary May 15, 2014 Jonathan Brown, Sarah Hudson Scholle and Melissa Azur Mathematica Policy Research Abstract

Support and Services at Home (SASH) Evaluation: First Annual Report

September 2014 RTI International Abstract

Effectiveness of Alternative Ways of Implementing Care Management Components in Medicare DSNPs: The Care Wisconsin and Gateway Study

Effectiveness of Alternative Ways of Implementing Care Management Components in Medicare D-SNPs: The Care Wisconsin and Gateway Study Executive Summary Jelena Zurovac, Randy Brown, Bob Schmitz and Richard Chapman Mathematica Policy Research January 2014

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