Quality of Services and Information

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. Notes

See http://www.academyofpeerservices.org/pluginfile.php/3101/mod_resource/content/1/APS%20Webinar%20Rev.3.5.14.pdf . See http://www.academyofpeerservices.org/ .

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. References

Association for Behavioral Health and Wellness. (2013). Peer support services: A valuable component of behavioral healthcare. From http://www.abhw.org/publications/pdf/PSS%20Report.pdf . Centers for Medicare and Medicaid Services. (2007). State Medicaid Director letter on peer support services. SMDL 07-011.

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. 4. Case Study Findings and Conclusions

The PSS described within the site visit case studies ( Chapter 3 ) demonstrate four very different types of program models that are actively engaged in fostering improved recovery status and behavioral health outcomes for those served.

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. 3. Four Site Visit Case Studies

This section contains four site visit case study reports. These case studies are meant to provide a brief description of the four PSS programs reviewed in this study. The case studies highlight program-specific information corresponding with key study questions. They are intentionally uniform in their headings and sections; provide summary level i

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. 2. Site Selection

A comprehensive environmental scan was completed to address the questions of this study (see Chapter 1 ). The environmental scan focused on core topics, including: The expanding role of PSS as a part of the behavioral health care delivery system.

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. 1. Environmental Scan Report

In recent years, the peer support services (PSS) workforce has evolved to become an essential part of mental health and addiction treatment, family support, and primary care services. In 2003, the President's New Freedom Commission for Mental Health recommended expanded integration of PSS into the behavioral health treatment system. Interest and u

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. Executive Summary

Recurrent psychiatric hospitalizations and emergency department (ED) utilization is common among those with serious mental illnesses and others with behavioral health conditions. The result is excessively high health care costs, and in some cases preventable overuse of services. Peer support services (PSS) are a recognized part of team-based care

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. Acronyms

The following acronyms are mentioned in this report and/or appendices.

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions. Acknowledgments

We would like to thank Garrett Moran, Ph.D. (Westat), Allen Doederlein (Depression and Bipolar Support Alliance), Larry Fricks (Appalachian Consulting Group and SAMHSA-HRSA Center for Integrated Health Solutions), Pamela Greenberg. M.P.P., (Association for Behavioral Health and Wellness), and Tanya Stevens (New York Association of Psychiatric Reha

An Assessment of Innovative Models of Peer Support Services in Behavioral Health to Reduce Preventable Acute Hospitalization and Readmissions

Westat ABSTRACT

PeerSupServ.pdf
PDF

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 7.0 Figures and Tables

Figure 1. How System and Individual Components Affect Quality of Care Disparities in Older Adults

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 6.0 References

Adams AS, Trinacty CM, Zhang F, Kleinman K, Grant RW, Meigs JB, Soumerai SB, Ross-Dignan D. Medication adherence and racial differences in A1c control. Diabetes Care. 2008;31:916-921. Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services. National Healthcare Quality Report, 2008. (2008). Available onlin

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 5.3 Implications and Recommendations

Efforts are needed to address persistent disparities in care based on race/ethnicity, socioeconomic status and gender, and for subgroups at particular risk.

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 5.2 Key Findings on Disparities in Care for Older Adults

To fill the gap in the literature about consistent disparities in quality of care for midlife vs. older adults, we conducted new analyses, taking advantage of a large, nationally representative sample of Americans evaluated in the MEPS. Analyses showed that racial/ethnic differences were prominent for effectiveness measures, with results favoring

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 5.1 Challenges in Assessing Disparities in Quality of Care for Older Adults

A major task of this report—categorization of select measures of diabetes quality of care, along with certain cardiovascular and depression care measures—revealed some important themes in limitations of existing research on disparities, particularly in care for older adults. First, most health care measures for priority conditions in older adu

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 5.0 Summary and Recommendations

This report developed a conceptual model for assessing quality of care disparities among midlife and older adults; summarized key literature findings on quality of care for diabetes, cardiovascular conditions and depression; and conducted quantitative analyses to address disparities in care among midlife and older adults with diabetes and cardiova

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 4.4 Discussion

The analysis sought to describe the relationship between health insurance coverage and the quality of care that men and women experience. The most significant, consistent findings were related to access to care. For the most part, women were significantly more likely than men to report delays in care. Differences were exhibited among midlife adult

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 4.3 Results

Table 11 shows the distribution of the key independent variables of interest among the study population. To facilitate the multivariate analyses, only persons with complete data on all analytic variables were included in the study sample (hence, the sample for this analysis differs from the previous analysis reported in Chapter 3.0, which did not

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 4.2 Methods

Nationally representative MEPS data were used to examine the relationship of age, gender and insurance status to quality of care among Americans with diabetes and cardiovascular conditions. Persons with missing education or insurance status data were excluded from the analysis (6 percent each for the diabetes and cardiovascular condition populatio

Disparities in Quality of Care for Midlife Adults (Ages 45–64) Versus Older Adults (Ages >65). 4.1 Background

Collectively, diabetes and cardiovascular disease account for nearly 30 percent of all deaths in the U.S. and an estimated $623 billion in direct and indirect medical costs (AHRQ 2008; CDC 2009). These diseases are among the most prevalent chronic conditions in midlife and older adult populations 45 and older. Their impact on overall health and di

Content by Keyword: Quality of Services and Information