Nurse Practitioner Coding Practices in Primary Care: A Retrospective Chart Review

To describe the coding and documentation practices of nurse practitioners (NPs) when using evaluation and management (E & M) codes in an academic primary care center. Data Sources A randomized retrospective review of ten charts from a nurse-managed primary care clinic affiliated with a midwestern research-intensive university. Conclusuion The findings demonstrate that the documentation in the chart for six of the ten client encounters did not support the E & M codes assigned by the clinicis NPs. Four of these six client encounters were overcoded; the remaining two encounters were undercoded. Implications for Practice Findings of this study support the need for additional education of NPs in the areas of coding and documentation.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73272/1/j.1745-7599.2003.tb00364.x.pd

The Instrumental Variable Method to Study Self-Selection Mechanism: A Case of Influenza Vaccination

ABSTRACTObjectiveTo assess whether estimates of the effectiveness of influenza vaccination in reducing rates of hospitalizations and all-cause mortality derived from cross-sectional data could be improved by applying the instrumental variable (IV) method to data representing the community-dwelling elderly population in the United States in order to adjust for self-selection bias.MethodsSecondary data analysis, using the 1996–97 Medicare Current Beneficiary Survey data. First, using single-equation probit regressions this study analyzed influenza-related hospitalization and death due to all causes predicted by vaccination status, which was measured by claims or survey data. Second, to adjust for potential self-selection of the vaccine receipt, for example, higher vaccination rates among high-risk individuals, bivariate probit (BVP) models and two-stage least squares (2SLS) models were employed. The IV was having either arthritis or gout.ResultsIn single-equation probit models, vaccination appeared to be ineffective or even to increase the probability of adverse outcomes. Based on BVP and 2SLS models, vaccination was demonstrated to be effective in reducing influenza-related hospitalization by at least 31%. The BVP model results implied significant self-selection in the single-equation probit models.ConclusionsAdjusting for self-selection, BVP analyses yielded vaccine effectiveness estimates for a nationally representative cross-sectional sample of the community-dwelling elderly population that are consistent with previous estimates based on randomized controlled trials, prospective cohort studies, and meta-analyses. This result suggests that analyses with 2SLS and BVP in particular may be useful for the analysis of observational data regarding prevention in which self-selection is an important potential source of bias

Initial Home Health Outcomes under Prospective Payment

OBJECTIVE: To assess initial changes in home health patient outcomes under Medicare's home health Prospective Payment System (PPS), implemented by the Centers for Medicare and Medicaid Services (CMS) in October 2000. DATA SOURCES/STUDY SETTING: Pre-PPS and early PPS data were obtained from CMS Outcome and Assessment Information Set (OASIS) and Medicare claims files. STUDY DESIGN: Regression analysis was applied to national random samples (n=164,810) to estimate pre-PPS/PPS outcome and visit-per-episode changes. DATA COLLECTION/EXTRACTION METHODS: Outcome episodes were constructed from OASIS data and linked with Medicare claims data on visits. PRINCIPAL FINDINGS: Outcome changes (risk adjusted) were mixed and generally modest. Favorable changes included higher improvement rates under PPS for functioning and dyspnea, higher community discharge rates, and lower hospitalization and emergent care rates. Most stabilization (nonworsening) outcome rates also increased. However, improvement rates were lower under PPS for wounds, incontinence, and cognitive and emotional/behavioral outcomes. Total visits per episode (case-mix adjusted) declined 16.6 percent although therapy visits increased by 8.4 percent. CONCLUSIONS: The outcome and visit results suggest improved system efficiency under PPS (fewer visits, similar outcomes). However, declines in several improvement rates merit ongoing monitoring, as do subsequent (posthome health) hospitalization and emergent care use. Since only the early PPS period was examined, longer-term analyses are needed

Price elasticity and pharmaceutical selection: the influence of managed care

State Medicaid programs are turning increasingly to managed care to control expenditures, although the types of managed care programs in use have changed dramatically. Little is known about the influence of the shifting Medicaid managed care arena on treatment decisions. This paper investigates factors affecting the selection of treatments for depression by providers participating in either of two Medicaid managed care programs. Of particular interest is the influence of medication price on the choice of treatment, since one vehicle through which managed care organizations can reduce total expenditures is by increasing the price sensitivity of participating providers. We take a new approach by phrasing the problem as a discrete choice, using a nested multinomial logit model for the analyses. Contrary to earlier literature, we find some evidence that physicians in both programs do take price into consideration when selecting among treatment options. HMO providers in particular demonstrate increased price sensitivity in the two most commonly prescribed categories of antidepressants. Copyright © 2002 John Wiley & Sons, Ltd.