OBQIOutcome Based Quality Improvement
OBQIOncology Biomarker Qualification Initiative (est. 2006)
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Ninety children less than 48 months of age who had visited the clinic or emergency room in 2011 were considered available for WCPH visits during 2012 for the OBQI. The Phase 1 comparison group was defined by the children ages 0 through 47 months who had been eligible for WCPH visits in 2011 (n=86), with a focus on those children who had WCPH visits in the baseline period, January through June 2011.
A retrospective chart review was performed six months after the implementation of the OBQI project.
The OBQI project had several outcomes that were clinically significant with several potential child and organizational benefits noted in Phase 2.
Through informal discussion with the primary author and other staff members during Phase 2 and after the OBQI was ended, several parents stated they preferred "one stop shopping" where they could complete well-child visits and immunizations all at the same time.
The purpose of our project was to develop and test a theory and evidence-based approach to risk adjusting all 41 OBQI quality indicators including the 10 publicly reported quality measures that are the focus of this article.
The data analyzed in this project were obtained from the University of Colorado Health Sciences Center, the CMS OBQI contractor at the time of the study.
Approximately 1,500,000 OBQI episodes are present in the overall data set.
The data set contains the 41 OBQI outcome indicators and 143 potential risk adjusters derived from OASIS, with detailed technical specifications publicly available online (U.S.
In future research, we will attempt to specify patient conditions or QUIGs that correspond to preventive services, possibly to subdivide some of the acute QUIGs more precisely for high-tech or specialized care outcome assessment, to consider other patient types more directly such as pediatric populations, to refine the chronic QUIGs through further analysis and applications, and, in general, to continue to refine the QUIGs on the basis of empirical results from OBQI applications.
The measures in Table 4 are but illustrative because our current research may result in alterations to the nature and substance of such measures in order to apply them in "steady-state" OBQI.
As has been the case for risk-adjusted hospital mortality and for diagnosis-related groups (DRGs), it is natural that home health care applications of OBQI using risk adjustment will evolve over the course of time (Branch and Goldberg, 1993; Smith et al., 1992; Lohr, 1988).
The following four terms are defined in order to facilitate the discussion of OBQI, as presented in this article: (23) Quality assessment.