title: Physician participation in a Medicaid managed care program, the Kansas Primary Care Network.
abstract: This study was designed to identify the factors that enhance and impede physician participation in a Medicaid managed care program, the Kansas Primary Care Network (PCN). The data for the study were collected in the summer of 1993 through a mail survey of primary care physicians in the PCN service area. Logistic regression and cross tabular analytic techniques were employed for data analysis. The results indicate that physicians who are not receptive to capitation-based reimbursement practices, those who practice in the higher per capita income counties, those who do not compare the PCN reimbursement rates favorably with private insurance rates, and physicians who think that untimely payment and the requirement to document patient referrals for specialty treatment pose problems for them are less likely to participate in the PCN program. Further, the study shows that institutional physicians have larger Medicaid caseloads than solo practitioners, who have larger Medicaid caseloads than single-specialty and multi-specialty group practitioners. Since most of the variables that attain statistical significance in explaining physician participation in the PCN program have to do with money, the study reaffirms the two market theory of the United States' health care delivery system.
authors.affiliation: Department of Political Science and Public Administration, University of Toledo, OH 43606, USA.
authors.forename: S E
authors.initials: SE
authors.lastname: Ubokudom
mesh_terms: D001291:Attitude of Health Personnel; D002204:Capitation Fee; D019058:Community Networks / Q000191:economics / Q000458:organization & administration*; D019538:Health Care Surveys; D007615:Kansas; D008329:Managed Care Programs / Q000191:economics; D008484:Medicaid / Q000458:organization & administration*; D009937:Organizational Objectives; D010820:Physicians / Q000523:psychology*; D011320:Primary Health Care / Q000191:economics; D012017:Referral and Consultation; D012044:Regression Analysis; D013221:State Health Plans; D014481:United States; D000078329:Workforce