Diagnostic coding and medical rehabilitation length of stay: their relationship.

OBJECTIVE: To determine if diagnostic information provided in the form of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes improves rehabilitation length of stay (LOS) prediction when used in combination with the Functional Independence Measure-Function Related Groups (FIM-FRGs) classification system. DESIGN: Various models characterizing diagnostic information using ICD-9-CM codes were created that included individual ICD-9-CM codes and groupings of those codes by organ or etiology involved. Each method was evaluated using linear regression with the natural logarithm of LOS as the dependent variable. Separate validation data sets were held back to quantify the incremental effect of diagnosis when combined with the FIM-FRG classification system. SETTING: Records from 252 rehabilitation facilities and hospital units across the nation. PATIENTS: Analyses were undertaken using 82,646 records from patients discharged in 1992. RESULTS: The addition of ICD-9-CM diagnostic information to the FIM-FRG classification system increased the variance explained by a maximum of 1.9%, from 31.5% to 33.4%. CONCLUSIONS: Refinement of the FIM-FRGs to include ICD-9-CM diagnoses does not appear warranted on the basis of the small increase in the percentage of explained variance in LOS. We believe the lack of improved prediction with the addition of ICD-9-CM codes relates primarily to incomplete coding practices and to the effect of patients' diagnoses being absorbed in variables as already expressed by the FIM-FRG system. Although ICD-9-CM codes, overall, did not greatly improve LOS prediction, they appeared to have some impact in certain impairment categories.

Predicting clinical progression or death in subjects with early-stage human immunodeficiency virus (HIV) infection: a comparative analysis of quantification of HIV RNA, soluble tumor necrosis factor type II receptors, neopterin, and beta2-microglobulin. Multicenter AIDS Cohort Study.

Quantification of human immunodeficiency virus (HIV) RNA by branched-chain DNA signal amplification, measurement of soluble tumor necrosis factor type II receptors (sTNFR-II), neopterin, beta2-microglobulin, or CD4 cell counts can be used to predict the risk of clinical progression or death in HIV infection but have not been compared in the same study. Ninety subjects were categorized into progression groups by their rate of CD4 cell decline and matched into triplets by initial CD4 cell count, age, race, and calendar time. By matched logistic regression, only the sTNFR-II and HIV RNA values were predictive of outcome across the progression groups. Categorization of baseline HIV RNA and sTNFR-II resulted in differences in progression to several clinical outcomes. sTNFR-II concentrations were the only immune marker examined that increased the prognostic utility of HIV RNA determination in early-stage subjects. Further studies in later stages of disease or after therapy are indicated.

Development of function-related groups version 2.0: a classification system for medical rehabilitation.

OBJECTIVE: To present a new version (2.0) of the Functional Independence Measure-Function Related Group (FIM-FRG) case-mix measure. DATA SOURCE/STUDY SETTING: 85,447 patient discharges from 252 freestanding facilities and hospital units contained in the 1992 Uniform Data System for Medical Rehabilitation. STUDY DESIGN: Patient impairment category, functional status at admission to rehabilitation, and patient age were used to develop groups that were homogeneous with respect to length of stay. Within each impairment category patients were randomly assigned to one data set to create the system (through recursive partitioning) or a second set for validation. Clinical and statistical criteria were used to increase the percentage of patients classified, expand the impairment categories of FIM-FRGs Version 1.1, and evaluate the incremental predictive ability of coexisting medical diagnoses. Predictive stability over time was evaluated using 1990 discharges. PRINCIPAL FINDINGS: In Version 2.0, the percentage of patients classified was increased to 92 percent. Version 2.0 includes two new impairment categories and separate groups for patients admitted to rehabilitation for evaluation only. Coexisting medical diagnoses did not improve LOS prediction. The system explains 31.7 percent of the variance in the logarithm of LOS in the 1992 validation sample, and 31.0 percent in 1990 discharges. CONCLUSIONS: FIM-FRGs Version 2.0 includes more specific impairment categories, classifies a higher percentage of patient discharges, and appears sufficiently stable over time to form the basis of a payment system for inpatient medical rehabilitation.

Classifying rehabilitation inpatients by expected functional gain.

OBJECTIVES: To create a more suitable payment system for medical rehabilitation, the authors developed a companion classification system to the original functional independence measure-function-related groups (FIM-FRGs), which classify patients having similar lengths of stay in a rehabilitation hospital or inpatient unit. The companion system presented here groups patients according to their gains in functional status during the rehabilitation stay. METHODS: Data from 84,492 patients discharged from 252 rehabilitation facilities in 1992 were provided by the Uniform Data System for Medical Rehabilitation. Classification rules were formed using clinical judgment and a recursive partitioning algorithm. The gain-FRGs system used four predictor variables: (1) diagnosis leading to disability, admission scores on the (2) motor and (3) cognitive subscales of the FIM, and (4) patient age. RESULTS: The gain-FRGs system contained 74 patient groups and explained 21% of the variation in functional gain for patients in a different set of records withheld for validation. CONCLUSIONS: The gain-FRGs system should be considered for prospective payment systems because it gives the provider an incentive to improve patient outcomes, which is missing in a payment system based on FIM-FRGs alone.

Plasma viral load and CD4+ lymphocytes as prognostic markers of HIV-1 infection.

BACKGROUND: The rate of disease progression among persons infected with human immunodeficiency virus type 1 (HIV-1) varies widely, and the relative prognostic value of markers of disease activity has not been defined. OBJECTIVE: To compare clinical, serologic, cellular, and virologic markers for their ability to predict progression to the acquired immunodeficiency syndrome (AIDS) and death during a 10-year period. DESIGN: Prospective, multicenter cohort study. SETTING: Four university-based clinical centers participating in the Multicenter AIDS Cohort Study. PATIENTS: 1604 men infected with HIV-1. MEASUREMENTS: The markers compared were oral candidiasis (thrush) or fever; serum neopterin levels; serum beta 2-microglobulin levels; number and percentage of CD3+, CD4+, and CD8+ lymphocytes; and plasma viral load, which was measured as the concentration of HIV-1 RNA found using a sensitive branched-DNA signal-amplification assay. RESULTS: Plasma viral load was the single best predictor of progression to AIDS and death, followed (in order of predictive strength) by CD4+ lymphocyte count and serum neopterin levels, serum beta 2-microglobulin levels, and thrush or fever. Plasma viral load discriminated risk at all levels of CD4+ lymphocyte counts and predicted their subsequent rate of decline. Five risk categories were defined by plasma HIV-1 RNA concentrations: 500 copies/mL or less, 501 to 3000 copies/mL, 3001 to 10000 copies/mL, 10001 to 30000 copies/mL, and more than 30000 copies/mL. Highly significant (P < 0.001) differences in the percentages of participants who progressed to AIDS within 6 years were seen in the five risk categories: 5.4%, 16.6%, 31.7%, 55.2%, and 80.0%, respectively. Highly significant (P < 0.001) differences in the percentages of participants who died of AIDS within 6 years were also seen in the five risk categories: 0.9%, 6.3%, 18.1%, 34.9%, and 69.5%, respectively. A regression tree incorporating both HIV-1 RNA measurements and CD4+ lymphocyte counts provided better discrimination of outcome than did either marker alone; use of both variables defined categories of risk for AIDS within 6 years that ranged from less than 2% to 98%. CONCLUSIONS: Plasma viral load strongly predicts the rate of decrease in CD4+ lymphocyte count and progression to AIDS and death, but the prognosis of HIV-infected persons is more accurately defined by combined measurement of plasma HIV-1 RNA and CD4+ lymphocytes.

The Functional Independence Measure: tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories.

OBJECTIVE: The analysis presented here evaluated the psychometric properties of the Functional Independence Measure (FIM) as a summated rating scale within context of the 20 impairment categories of the FIM-Function Related Group (FIM-FRG) system. DESIGN: This study involved a cross-sectional analysis of patient records, utilizing factor analysis and techniques of multitrait scaling to verify the summative properties of the motor and cognitive dimensions of the FIM and to study the statistical properties of admission FIM scores. PATIENTS: Included were a total of 93.829 patients discharged from 252 freestanding rehabilitation hospitals and units during calendar year 1992. Cases were excluded that had missing or out-of-range values or atypical lengths of stay. These criteria were developed previously in conjunction with an expert clinical panel and confirmed through statistical analyses. RESULTS: Factor analyses supported the motor and cognitive dimensions across all 20 impairment categories. The resulting subscales exceeded minimum criteria for item internal consistency in 96.9% of tests and item discriminant validity in 100% of tests. Reliability coefficients for each impairment category for both subscales ranged from .86 to .97. There were no major ceiling effects, but patients in certain impairment categories were unable to climb stairs at admission. CONCLUSION: The psychometric properties of the summated FIM compare favorably to most standardized health measures used in medical practice. Findings provide support for the motor and cognitive subscales as used in the FIM-FRGs. As a unidimensional scale, the FIM quantifies care burden. Split into the motor and cognitive (as used in the FIM-FRGs) it distinguishes physical disabilities from those arising from communication or cognitive difficulties.