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Developing a Self-Assessment Toolfor Culturally - Office of Minority ...

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areas <strong>of</strong> MCOs and contains information on health plan type, pr<strong>of</strong>it status, membership size, andmodel type. Organizational characteristics <strong>of</strong> the universe <strong>of</strong> MCOs are provided in Exhibit 1.Exhibit 1ORGANIZATIONAL STRUCTURE OF MCOS IN THEAAHP 2001 DIRECTORY OF HEALTH PLANSUnavailable2% (n=16)Health Plan TypeHMO29% (n = 263)Mix45% (n=403)PPO23% (n = 210)POS1% (n=12)IPA31% (n = 280)Model TypeNetwork15%(n = 133)Unavailable18% (n=14)Group8% (n=6)Group4% (n=36)Staff2% (n=12)Mix7% (n=68)Pr<strong>of</strong>it StatusNon -pr<strong>of</strong>itFor Pr<strong>of</strong>it32% (n =293)68% (n =611)Membership Size*Small Large32% (n = 290) 25% (n = 232)Medium38% (n=340)Unavailable5% (n=42)* • Smalall = 500-49,999• Medium = 50,000000 -199,999• Lararge = 200,000+Disadvantages associated with using an association’s directory as a study sampling frameare shared by any similar directory. First, directory listings typically have a lag <strong>of</strong> about a yearbetween information collection and publication, which could be especially problematic for thisstudy considering the level <strong>of</strong> consolidation occurring in the health care system at that time.Second, because directories <strong>of</strong>ten serve as a sort <strong>of</strong> yellow pages where purchasers can seek outorganizations in certain geographic locales, listings are <strong>of</strong>ten too detailed and repetitious. Suchrepetition may require a fair amount <strong>of</strong> file manipulation to remove duplicate listings, at somecost.During the study design phase, several characteristics and conditions were explored andconsidered for developing an appropriate sampling strategy. The most important component wasto ensure that the study sample would reflect a nationally representative group <strong>of</strong> MCOs. Asecond consideration was that the MCOs selected for study participation should includeorganizational, membership, and geographic variation.Discussions were held among the research team, OMH staff, and the project advisorygroups to determine the appropriate strategy. Initially, the research team proposed severalvariables for stratifying the sample <strong>of</strong> MCOs, including the metropolitan statistical areas (MSAs)in which the organizations reside; organizational characteristics such as health plan type,pr<strong>of</strong>it/non-pr<strong>of</strong>it status, or membership size <strong>of</strong> each MCO; and demographic characteristics (e.g.,racial, ethnic, cultural, and linguistic composition) <strong>of</strong> the population served by each MCO.Following extensive deliberations, members <strong>of</strong> the expert panel advised that the rapidlychanginglandscape <strong>of</strong> health plans—at both the service and organizational levels—was tooCOSMOS Corporation, December 2003 G-3

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