Health status: patient and physician judgments.
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Patients at a rehabilitation center in Derbyshire, England, were asked to assess their own functional abilities at admission and again at discharge, using an 82-item questionnaire concerning 12 areas of daily living. Questionnaire responses were correlated with results of physical examinations, assessments by center personnel, and assessments of capacity for specific body movements. The highest correlations were observed in areas that related most directly to physical movements and to dressing and toileting. The results suggest that self-assessment of health status using this questionnaire may provide a viable alternative to judgments made by trained assessors. (+info)
Validation of an interval scaling: the sickness impact profile.
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The Sickness Impact Profile (SIP) is a measure of sickness-related behavioral dysfunction consisting of 189 items in 14 topic categories. To increase its discrimination, precision, and sensitivity in accounting for variance, the decision was made to scale the instrument. A two-step direct scaling procedure was used in order to avoid the monumental scaling tasks required by indirect procedures that guarantee equal-interval results; but because an equal-interval scale was needed, it was necessary to validate the scale values obtained and investigated the equal-intervval properties of the obtained scale. A three-stage validation process is described, consisting of an initial scaling by a group of 25 health professionals and students in 1973, a second scaling by 108 members of a prepaid group health plan in 1975, and an investigation of the metric properties of the resulting scale values. In addition, the concept of dysfunction underlying the SIP was validated. SIP scores from a field trial were compared with mean ratings of severity of dysfunction represented by the combinations of checked items from which the scores were derived. (+info)
The mortality component of health status indexes.
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The mortality component of contemporary health indexes is discussed. Since these indexes reduce to mortality indexes when only life and death states enter the analysis, they share the conceptual weaknesses of mortality indexes. Also, they do not incorporate consumption variables explicity and therefore provide no structure for relating health status and living standard. Some attention is devoted to methodological problems of assessing survival probabilities, either from survey or experimental data or from beliefs of experts or individuals who are affected directly. The final section deals with individual preferences for survival lotteries. Conceptual weaknesses of common indexes are discussed, several canonical models for survival preferences are presented, the interdependence of individual utilities is discussed, and methods for eliciting individual survival preferences are considered, along with some illustrative empirical results. (+info)
Scales for measuring general health perceptions.
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This article reports on the construction and testing of eight health perception scales from 32 items on a standardized survey instrument designed for self-administration, the Health Perceptions Questionnaire (Form II). The scales measure perceptions of prior health, current health, health outlook, resistance/susceptibility to illness, health worry/concern, sickness orientation, rejection of sick role, and attitude toward going to the doctor. Field testing revealed that the scales are valid, reliable, and stable over time for diverse populations. It is recommended that the scales be used in studies requiring general health measures. Suggestions for future research are offered. (+info)
The K index: a proxy measure of health care quality.
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An index of health care quality is described that requires data on "sentinel health events"--unnecessary death and disability caused by specific ICDA-coded conditions on which medical agreement can be reached about avoidability of negative outcomes. The proposed index combines measures of incidence, severity, and concentration of sentinel health events in communities and compares the measures with mean values for a group of normative communities, to arrive at index values that are distributed as X2 for a group of communities with regard to the mean health conditions experienced by the normative communities. Calculation of the index is illustrated with hypothetical data, and problems of selecting normative communities are discussed. (+info)
Predicting self-assessed health status: a multivariate approach.
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Two-stage multivariate analysis was used to examine factors affecting personal perception of health status. In the first stage, sociodemographic variables were used as independent variables in Automatic Interaction Detector (AID) analysis in order to partition the study sample (11,153 civilian noninstitutionalized adults aged 58-63) into subgroups. In the second stage, binary multiple regression analysis was performed on each AID subgroup and on the total sample. Predictors used were indicators of psychological, socioeconomic, and sociomedical well-being. Finally the applicability of these indicators in classifying persons in one of the two categories of perceived health status was examined by discriminant function analysis. Sociomedical health indicators were better explanatory variables of self-assessed health status than socioeconomic or psychological indicators of well-being. (+info)
Health status: types of validity and the index of well-being.
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The concept of validity as it applies to measures of health and health status is examined in the context of a set of standard, widely accepted definitions of validity. Criterion validity is shown to be irrelevant to health status measures because of the lack of a single specific, directly observable measure of health for use as a criterion. To overcome this problem, the Index of Well-being has been constructed to fulfill the definition of content validity by including all levels of function and symptom/problem complexes, a clearly defined relation to the death state, and consumer ratings of the relative desirability of the function levels. Data from a two-wave household interview survey provide convergent evidence of construct validity by demonstrating an expected positive correlation of the Index of Well-being with self-rated well-being and expected negative correlations with age, number of chronic medical conditions, number of reported symptoms or problems, number of physician contacts, and dysfunctional status. Discriminant evidence of construct validity is demonstrated by predicted differences in correlation between concurrent Index of Well-being scores and self-assessed overall health status, and between the Index of Well-being scores and self-rated well-being on different days. A simple method of estimating a currently usable comprehensive population index of health status, the Weighted Life Expectancy, is described. (+info)
Factors affecting patient compliance with antihyperlipidemic medications in an HMO population.
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OBJECTIVE: To identify factors that influence compliance in patients taking antihyperlipidemic medications. STUDY DESIGN: This was a retrospective cohort study in which computerized pharmacy records were used to estimate medication compliance in patients in a Health Maintenance Organization from 1993 to 1995. PATIENTS AND METHODS: Data on 772 patients on antihyperlipidemic medications were obtained from pharmacy and healthcare utilization claims and from a cross-sectional survey. The medication compliance ratio for each patient was calculated from the prescription profile. Patient compliance was modeled as a function of four clusters of determinants: patient characteristics, complexity of drug regimen, health status, and patient-provider interaction. Correlation between specific characteristics and compliance was estimated by logistic regressions. RESULTS: Approximately 37% of patients complied with at least 90% or more of their antihyperlipidemic medications. The following variables had a significant influence on compliance: female gender (odds ratio [OR], 0.64), baseline compliance (high: OR, 3.42; medium: OR, 1.86), perceived health status (SF-36 bodily pain score: OR, 1.02; SF-36 vitality score: OR, 0.97), comorbidity (OR, 0.90), and number of daily doses of antihyperlipidemic medications (OR, 0.60). CONCLUSIONS: The findings suggest that women, patients with comorbidities, patients reporting high SF-36 vitality scores, and patients with multiple doses of antihyperlipidemic medications are less likely to be compliant. Patients who self-report good compliance with previous medications are more likely to comply. This information may be used to target interventions at patients who are likely to be noncompliant with their medication regimens. (+info)