Encounter Data (encounter + data)

Distribution by Scientific Domains


Selected Abstracts


The Effect of Capitation on Switching Primary Care Physicians

HEALTH SERVICES RESEARCH, Issue 1p1 2003
Melony E. S. Sorbero
Objective To examine the relationship between patient case-mix, utilization, primary care physician (PCP) payment method, and the probability that patients switch their PCPs. Data Sources/Study Setting Administrative enrollment and claims/encounter data for 1994,1995 from four physician organizations. Study Design We developed a conceptual model of patient switching behavior, which we used to guide the specification of multivariate logistic analyses focusing on interactions between patient case-mix, utilization, and PCP reimbursement methods. Data Collection/Extraction Methods Claims data were aggregated to the encounter level; a switch was defined as a change in PCP since the previous encounter. The PCPs were reimbursed on either a capitated or fee-for-service (FFS) basis. Principal Findings Patients with stable chronic conditions (Ambulatory Diagnostic Groups [ADG] 10) and capitated PCPs were 36 percent more likely to switch PCPs than similar patients with FFS PCPs, controlling for patient age and sex and physician fixed effects. When the number of previous encounters was included in the model, this relationship was no longer significant. Instead high utilizers with capitated PCPs were significantly more likely to switch PCPs than were similar patients with FFS PCPs. Conclusions A patient's demographics and utilization are associated with the probability that the patient will switch PCPs. Capitated PCP payment was associated with higher rates of switching among high utilizers of health care resources. These findings raise concerns about the continuity and quality of care experienced by vulnerable patients in an era of changing financial incentives. [source]


Alcohol Drinking Patterns and Health Care Utilization in a Managed Care Organization

HEALTH SERVICES RESEARCH, Issue 3 2004
Gary A. Zarkin
Objective. To estimate the relationship between current drinking patterns and health care utilization over the previous two years in a managed care organization (MCO) among individuals who were screened for their alcohol use. Study Design. Three primary care clinics at a large western MCO administered a short health and lifestyle questionnaire to all adult patients on their first visit to the clinic from March 1998 through December 1998. Patients who exceeded the National Institute on Alcohol Abuse and Alcoholism (NIAAA) guidelines for moderate drinking were given a more comprehensive alcohol screening using a modified version of the Alcohol Use Disorders Identification Test (AUDIT). Health care encounter data for two years preceding the screening visit were linked to the remaining individuals who responded to one or both instruments. Using both quantity,frequency and AUDIT-based drinking pattern variables, we estimated negative binomial models of the relationship between drinking patterns and days of health care use, controlling for demographic characteristics and other variables. Principal Findings. For both the quantity,frequency and AUDIT-based drinking pattern variables, current alcohol use is generally associated with less health care utilization relative to abstainers. This relationship holds even for heavier drinkers, although the differences are not always statistically significant. With some exceptions, the overall trend is that more extensive drinking patterns are associated with lower health care use. Conclusions. Based on our sample, we find little evidence that alcohol use is associated with increased health care utilization. On the contrary, we find that alcohol use is generally associated with decreased health care utilization regardless of drinking pattern. [source]


Four-Year Cost-Utility Analyses of Sealed and Nonsealed First Permanent Molars in Iowa Medicaid-Enrolled Children

JOURNAL OF PUBLIC HEALTH DENTISTRY, Issue 4 2007
Patita Bhuridej DDS
Abstract Objectives: Dental sealants, by their ability to prevent caries and maintain teeth in better health, have some inherent utility to individuals, programs, or society. This study assessed the 4-year incremental cost utility of sealing first permanent molars of 6-year-old Iowa Medicaid enrollees from a societal perspective and identified the group of teeth or children in whom sealants are most cost effective. Methods: Dental services for first permanent molars were assessed using claims and encounter data for a group of continuously enrolled Medicaid enrollees who turned 6 between 1996 and 1999. Previously published utilities were used to weight the different health states. The weighted sum of outcomes [Quality-Adjusted Tooth-Years (QATYs)] was the measure of effectiveness. Costs and QATYs were discounted to the time of the child's sixth birthday. Results: For all first molars, the cost of treatment associated with sealed teeth was higher but the utility was also slightly higher over the 4-year period. The relative incremental cost per 0.19 QATY ratio [changing the health state from a restored tooth (utility=0.81) to a nonrestored tooth (utility =1)] by sealing the molar ranged from $36.7 to $83.5 per 0.19 QATY. The incremental cost/QATY ratio was lower for sealing lower utilizers and for mandibular versus maxillary molars. Conclusions: Sealants improved overall utility of first permanent molars after 4 years. The 4-year cost/QATY ratio of sealing the first permanent molar varied by arch and type of utilizers. Sealing first permanent molars in lower dental utilizers is the most cost-effective approach for prioritizing limited resources. [source]


Validity of computerized diagnoses, procedures, and drugs for inflammatory bowel disease in a northern California managed care organization,,

PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, Issue 11 2009
Liyan Liu MD
Abstract Purpose Resources for studying inflammatory bowel disease (IBD) are needed in evaluations of drug safety including traditional drugs and new biologics agents. We developed an IBD registry, with ascertainment from computerized visit information. Objective We sought to characterize the positive predictive value (PPV) of IBD case-finding using computerized data compared with chart review. Methods We identified 2906 persons aged 89 years or younger with one or more IBD diagnoses in computerized visit data during the period of 1996,2002. The diagnosis of IBD was confirmed through chart review. Adopting chart review as the gold standard, the validity of computerized encounter data to determine IBD was estimated. Results Among the 2906 study subjects with one or more ICD-9 diagnosis codes of 555 or 556 in computerized data, 81% were confirmed as having IBD by chart review. Defining cases as those who underwent two or more visits without regard to diagnostic procedures or drug utilization maximized the correct classification of cases (PPV, 95%). Conclusions The quality of IBD diagnoses in computerized data is adequate to meet the aims of a wide range of research studies. Copyright © 2009 John Wiley & Sons, Ltd. [source]


Advanced Statistics: Developing a Formal Model of Emergency Department Census and Defining Operational Efficiency

ACADEMIC EMERGENCY MEDICINE, Issue 9 2007
Thomas J. Flottemesch PhD
Background: Emergency department (ED) crowding has been a frequent topic of investigation, but it is a concept without an objective definition. This has limited the scope of research and progress toward the development of consistent and meaningful operational responses. Objectives: To develop a straightforward model of ED census that incorporates concepts of ED crowding, daily patient surge, throughput time, and operational efficiency. Methods: Using 2005,2006 patient encounter data at a Level 1 urban trauma center, a set of three stylized facts describing daily patterns of ED census was observed. These facts guided the development of a formal, mathematical model of ED census. Using this model, a metric of ED operational efficiency and a forecast of ED census were developed. Results: The three stylized facts of daily ED census were 1) ED census is cyclical, 2) ED census exhibits an input-output relationship, and 3) unexpected shocks have long-lasting effects. These were represented by a three-equation system. This system was solved for the following expression, Censust = A(·) + B(·) cos(vT +,) + a(et), that captured the time path of ED census. Using nonlinear estimation, the parameters of this expression were estimated and a forecasting tool was developed. Conclusions: The basic pattern of ED census can be represented by a straightforward expression. This expression can be quickly adapted to a variety of inquiries regarding ED crowding, daily surge, and operational efficiency. [source]