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

The Relationship of Post-acute Home Care Use to Medicaid Utilization and Expenditures

RESEARCH OBJECTIVES: To describe the use of post-acute home care (PAHC) and total Medicaid expenditures among hospitalized nonelderly adult Medicaid eligibles and to test whether health services utilization rates or total Medicaid expenditures were lower among Medicaid eligibles who used PAHC compared to those who did not. STUDY POPULATION: 5,299 Medicaid patients aged 18–64 discharged in 1992–1996 from 29 hospitals in the Cleveland Health Quality Choice (CHQC) project. DATA SOURCES: Linked Ohio Medicaid claims and CHQC medical record abstract data. DATA EXTRACTION: One stay per patient was randomly selected. DESIGN: Observational study. To control for treatment selection bias, we developed a model predicting the probability (propensity) a patient would be referred to PAHC, as a proxy for the patient's need for PAHC. We matched 430 patients who used Medicaid-covered PAHC (“USE”) to patients who did not (“NO USE”) by their propensity scores. Study outcomes were inpatient re-admission rates and days of stay (DOS), nursing home admission rates and DOS, and mean total Medicaid expenditures 90 and 180 days after discharge. PRINCIPAL FINDINGS: Of 3,788 medical patients, 12.1 percent were referred to PAHC; 64 percent of those referred used PAHC. Of 1,511 surgical patients, 10.9 percent were referred; 99 percent of those referred used PAHC. In 430 pairs of patients matched by propensity score, mean total Medicaid expenditures within 90 days after discharge were $7,649 in the USE group and$5,761 in the NO USE group. Total Medicaid expenditures were significantly higher in the USE group compared to the NO USE group for medical patients after 180 days (p<.05) and surgical patients after 90 and 180 days (p<.001). There were no significant differences for any other outcome. Sensitivity analysis indicates the results may be influenced by unmeasured variables, most likely functional status and/or care-giver support. CONCLUSIONS: Thirty-six percent of the medical patients referred to PAHC did not receive Medicaid-covered services. This suggests potential underuse among medical patients. The high post-discharge expenditures suggest opportunities for reducing costs through coordinating utilization or diverting it to lower-cost settings. Controlling for patients' need for services, PAHC utilization was not associated with lower utilization rates or lower total Medicaid expenditures. Medicaid programs are advised to proceed cautiously before expanding PAHC utilization and to monitor its use carefully. Further study, incorporating non-economic outcomes and additional factors influencing PAHC use, is warranted