Biomedical subjects

Mark Kosinski

Publications and source records attributed to Mark Kosinski.

At least 19 recordsLinked to original sources

PubMed2006

Reliability and predictive validity of the Asthma Control Test administered by telephone calls using speech recognition technology.

BACKGROUND: The Asthma Control Test (ACT) has been validated in a paper and pencil version but has not been validated for use by telephone. OBJECTIVE: The purpose of this study was to provide validation data for the ACT administered by interactive telephone calls using speech recognition technology. METHODS: The ACT was administered to patients who confirmed a diagnosis of physician-diagnosed asthma, and information regarding race/ethnicity, smoking, and asthma course was also obtained during the call. Asthma emergency department visits, hospitalizations, and oral corticosteroid and beta-agonist canister dispensings were assessed for the 12 months after the date of each patient's call. Internal consistency reliability and predictive validity were assessed. RESULTS: Asthma Control Test scores (higher indicates better control) were completed by 2244 patients and were inversely related to black or Hispanic race/ethnicity and smoking. Reliability was 0.83. ACT scores were significantly related to emergency hospital care and oral corticosteroid and beta-agonist dispensings over the period of the subsequent 6 and 12 months. After adjusting for demographic characteristics, a score < or = 15 was associated significantly with an increased 12-month risk of emergency hospital care (odds ratio [OR], 2.5), oral corticosteroid dispensings (OR, 2.6) and dispensing of more than 6 beta-agonist canisters (OR, 6.8) compared with a score > or = 20. CONCLUSION: These data support the reliability and predictive validity of the ACT administered by interactive telephone calls using speech recognition technology. CLINICAL IMPLICATIONS: The ACT can be used for outreach or follow-up by means of interactive telephone calls using speech recognition technology.

Adrenal Cortex Hormones↗

PubMed2006

Validation of the asthma impact survey, a brief asthma-specific quality of life tool.

BACKGROUND: The Asthma Impact Survey (AIS-6) is a new six question asthma outcome tool for which information on validity has not been published. OBJECTIVE: To provide validation for the AIS-6 as a brief asthma-specific quality of life tool. METHODS: Surveys were sent to a random sample of members of a large managed care organization who were at least 35 years of age and in the two-year period preceding the survey had either (1) at least one documented asthma-related medical encounter, or (2) at least a 6 months supply of asthma medication dispensed. In addition to the AIS-6, the survey included a validated quality of life tool [the mini-Asthma Quality of Life Questionnaire (AQLQ)]; a validated asthma control questionnaire [the Asthma Therapy Assessment Questionnaire (ATAQ)]; a validated symptom severity scale (AOMS); and information regarding demographics, co-morbidities, asthma severity, and asthma management. The results of the AIS-6 were compared to the results of the other tools by means of correlation and factor analysis. Independent predictors of AIS-6 and AQLQ scores were determined by multiple stepwise linear regression analyses. RESULTS: AIS-6 scores were significantly related to female sex, educational level, income, smoking, body mass index (BMI), COPD, steroid use, and hospitalization history in bivariate analyses. The AIS-6 score significantly correlated (r = - 0.84, p < 0.0001) with the AQLQ total score and loaded on the three factors (activity, symptoms, and concern/bother) reflected by the survey information and on which the AQLQ also loaded. Significant but somewhat smaller correlations were found between the AIS-6 and the ATAQ (r = 0.70, p < 0.0001) and the AOMS (r = 0.55, p < 0.0001). Independent predictors were the same for the AIS-6 and AQLQ and included oral steroid use, COPD history, BMI, female sex, educational level, and hospitalization in the past year. CONCLUSION: These data support the validity of the short six-question AIS-6 as an asthma-specific quality of life tool.

Adult↗

PubMed2006

Treatment of rheumatoid arthritis patients with abatacept and methotrexate significantly improved health-related quality of life.

OBJECTIVE: This study examined the effect of abatacept, a costimulation modulator, on the health-related quality of life (HRQOL) of patients with rheumatoid arthritis (RA). METHODS: Three hundred thirty-nine patients with RA on a background of methotrexate (MTX), who participated in a multicenter, double-blind, placebo-controlled trial, were randomized to abatacept 2 mg/kg, abatacept 10 mg/kg, or placebo. HRQOL was assessed at pretreatment, and at 3, 6, and 12 months posttreatment using the SF-36 Health Survey (SF-36). Changes in SF-36 scores from baseline to 12 months were compared across treatment and placebo groups to examine HRQOL benefits of abatacept. A link between American College of Rheumatology improvement and changes in SF-36 scores was established to demonstrate the association between HRQOL outcomes and clinical response. RESULTS: After 12 months of treatment, patients randomized to abatacept 10 mg/kg showed significantly better HRQOL outcomes overall versus patients randomized to placebo (MANOVA F = 4.71, p < 0.001) or to abatacept 2 mg/kg (MANOVA F = 1.97, p = 0.05). Differences in SF-36 change scores between abatacept 10 mg/kg and placebo groups reached statistical significance on all 8 domain scales, the 2 summary measures, and the SF-36 utility index (SF-6D). Differences in SF-36 change scores between abatacept 10 mg/kg and abatacept 2 mg/kg reached statistical significance on 5 of the 8 domain scales, the physical summary measure, and the SF-6D. Improvement in HRQOL was highly related to clinical response. CONCLUSION Abatacept 10 mg/kg plus MTX demonstrated a stronger HRQOL response than placebo plus MTX. The abatacept 2 mg/kg arm showed a very weak and transient response.

Abatacept↗

PubMed2006

Asthma Control Test: reliability, validity, and responsiveness in patients not previously followed by asthma specialists.

BACKGROUND: The development of the Asthma Control Test (ACT), a short, simple, patient-based tool for identifying patients with poorly controlled asthma, was recently described in patients under the routine care of an asthma specialist. OBJECTIVES: We sought to evaluate the reliability and validity of the ACT in a longitudinal study of asthmatic patients new to the care of an asthma specialist. METHODS: Patients (n=313) completed the ACT and the Asthma Control Questionnaire (ACQ) at 2 physician visits (4-12 weeks apart). Pulmonary function was measured, and asthma specialists rated asthma control. RESULTS: Internal consistency reliability of the ACT was 0.85 (baseline) and 0.79 (follow-up). Test-retest reliability was 0.77. Criterion validity was demonstrated by significant correlations between baseline ACT scores and baseline specialists' ratings of asthma control (r=0.52, P<.001) and ACQ scores (r=-0.89, P<.001). Discriminant validity was demonstrated, with significant (P<.001) differences in mean ACT scores across patients differing in asthma control, pulmonary function, and treatment recommendation. Responsiveness of the ACT to changes in asthma control and lung function was demonstrated with significant correlations between changes in ACT scores and changes in specialists' ratings (r=0.44, P<.001), ACQ scores (r=-0.69, P<.001), and percent predicted FEV1 values (r=0.29, P<.001). An ACT score of 19 or less provided optimum balance of sensitivity (71%) and specificity (71%) for detecting uncontrolled asthma. CONCLUSIONS: The ACT is reliable, valid, and responsive to changes in asthma control over time in patients new to the care of asthma specialists. A cutoff score of 19 or less identifies patients with poorly controlled asthma. CLINICAL IMPLICATIONS: In a clinical setting the ACT should be a useful tool to help physicians identify patients with uncontrolled asthma and facilitate their ability to follow patients' progress with treatment.

Adolescent↗

PubMed2006

An evaluation of a patient-reported outcomes found computerized adaptive testing was efficient in assessing osteoarthritis impact.

BACKGROUND AND OBJECTIVES: Evaluate a patient-reported outcomes questionnaire that uses computerized adaptive testing (CAT) to measure the impact of osteoarthritis (OA) on functioning and well-being. MATERIALS AND METHODS: OA patients completed 37 questions about the impact of OA on physical, social and role functioning, emotional well-being, and vitality. Questionnaire responses were calibrated and scored using item response theory, and two scores were estimated: a Total-OA score based on patients' responses to all 37 questions, and a simulated CAT-OA score where the computer selected and scored the five most informative questions for each patient. Agreement between Total-OA and CAT-OA scores was assessed using correlations. Discriminant validity of Total-OA and CAT-OA scores was assessed with analysis of variance. Criterion measures included OA pain and severity, patient global assessment, and missed work days. RESULTS: Simulated CAT-OA and Total-OA scores correlated highly (r = 0.96). Both Total-OA and simulated CAT-OA scores discriminated significantly between patients differing on the criterion measures. F-statistics across criterion measures ranged from 39.0 (P < .001) to 225.1 (P < .001) for the Total-OA score, and from 40.5 (P < .001) to 221.5 (P < .001) for the simulated CAT-OA score. CONCLUSIONS: CAT methods produce valid and precise estimates of the impact of OA on functioning and well-being with significant reduction in response burden.

Adaptation, Psychological↗

PubMed2006

Using the SF-12 health status measure to improve predictions of medical expenditures.

BACKGROUND: Relatively few studies have used self-reported health status in models to predict medical expenditures, and many of these have used the SF-36. OBJECTIVES: We sought to examine the ability of the briefer SF-12 measure of health status to predict medical expenditures in a nationally representative sample. METHODS: We used data from the 2000-2001 panel of the Medical Expenditure Panel Study. Respondents (n = 5542) completed the SF-12 in a questionnaire. Interviews obtained data on demographics and selected chronic conditions. Data on expenditures incurred subsequent to the interview were obtained in part from provider records. We examined different regression model specifications and compared different statistical estimation techniques. RESULTS: Adding the SF-12 to a regression model improved the prediction of subsequent medical expenditures. In a model with only age and gender, adding the SF-12 increased R from 0.06 to 0.13. The coefficients for the Physical Component Summary (PCS) and the Mental Component Summary (MCS) of the SF-12 for this model were -0.045 (P < 0.01) and -0.012 (P < 0.01), respectively. In a model including demographic characteristics, chronic conditions, and previous expenditures, adding the SF-12 increased the R from 0.26 to 0.29. The coefficients for the PCS and the MCS for this model were -0.025 (P < 0.001) and -0.005 (P = 0.15), respectively. A single general health status question performed almost as well as the full SF-12. Models estimated using ordinary least squares had undesirable properties. In terms of R, a generalized linear model (GLM) with a Poisson variance function was consistently superior to a GLM with a gamma variance function. CONCLUSIONS: Information on self-reported health status is useful in predicting medical expenditures. The extent to which the SF-12 adds predictive power over a comprehensive array of diagnostic data remains to be examined.

Adolescent↗

PubMed2005

Symptom control and improved functioning: the effect of omalizumab on asthma-related quality of life (ARQL).

This investigation evaluated variability in asthma-related quality-of-life (ARQL) outcomes among patients randomized to omalizumab or placebo. Pooled data on the Asthma Quality of Life Questionnaire (AQLQ) from two trials were used (n = 948). Variability in ARQL outcomes was determined by categorizing AQLQ score changes according to minimal clinically important difference (MCID: 0.5 points) and large clinically important difference (LCID: 1.5 points) score changes. A greater proportion of patients achieved improvement in every domain of AQLQ scores during all periods with omalizumab compared with placebo. Omalizumab-treated patients showed greater clinically important improvement in ARQL compared with patients receiving placebo.

Adolescent↗

PubMed2004

Score comparability of short forms and computerized adaptive testing: Simulation study with the activity measure for post-acute care.

OBJECTIVE: To compare simulated short-form and computerized adaptive testing (CAT) scores to scores obtained from complete item sets for each of the 3 domains of the Activity Measure for Post-Acute Care (AM-PAC). DESIGN: Prospective study. SETTING: Six postacute health care networks in the greater Boston metropolitan area, including inpatient acute rehabilitation, transitional care units, home care, and outpatient services. PARTICIPANTS: A convenience sample of 485 adult volunteers who were receiving skilled rehabilitation services. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Inpatient and community-based short forms and CAT applications were developed for each of 3 activity domains (physical & mobility, personal care & instrumental, applied cognition) using item pools constructed from new items and items from existing postacute care instruments. RESULTS: Simulated CAT scores correlated highly with score estimates from the total item pool in each domain (4- and 6-item CAT r range,.90-.95; 10-item CAT r range,.96-.98). Scores on the 10-item short forms constructed for inpatient and community settings also provided good estimates of the AM-PAC item pool scores for the physical & movement and personal care & instrumental domains, but were less consistent in the applied cognition domain. Confidence intervals around individual scores were greater in the short forms than for the CATs. CONCLUSIONS: Accurate scoring estimates for AM-PAC domains can be obtained with either the setting-specific short forms or the CATs. The strong relationship between CAT and item pool scores can be attributed to the CAT's ability to select specific items to match individual responses. The CAT may have additional advantages over short forms in practicality, efficiency, and the potential for providing more precise scoring estimates for individuals.

Boston↗

PubMed2004

Short-form activity measure for post-acute care.

OBJECTIVE: To develop a comprehensive set of short forms using item response theory (IRT) and item pooling procedures for the purpose of monitoring postacute care functional recovery. DESIGN: Prospective study. SETTING: Six postacute health care networks in the greater Boston area, including inpatient acute rehabilitation, transitional care units, home care, and outpatient services. PARTICIPANTS: A convenience sample of 485 adult volunteers who were currently receiving skilled rehabilitation services. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: We developed a set of 6 short forms across 3 activity domains from new items and items from existing postacute care instruments. RESULTS: Inpatient- and community-based short forms were developed for each of 3 activity domains: physical & movement, applied cognition, and personal care & instrumental. Items were selected for inclusion on the short forms to maximize content coverage and information value of items across the range of content and to minimize ceiling and floor effects. We were able to match the distribution of sample scores with very good item precision for 1 of the constructs (physical & movement); the other 2 domains (personal care & instrumental, applied cognition) were more challenging because of the variability in patient recovery and ceiling effects. CONCLUSIONS: ITR methods and item pooling procedures were valuable in developing paired sets of short-form instruments for inpatient and community rehabilitation that provided estimates of functioning along a common metric for use across postacute care settings.

Activities of Daily Living↗

PubMed2004

Development of the asthma control test: a survey for assessing asthma control.

BACKGROUND: Asthma guidelines indicate that the goal of treatment should be optimum asthma control. In a busy clinic practice with limited time and resources, there is need for a simple method for assessing asthma control with or without lung function testing. OBJECTIVES: The objective of this article was to describe the development of the Asthma Control Test (ACT), a patient-based tool for identifying patients with poorly controlled asthma. METHODS: A 22-item survey was administered to 471 patients with asthma in the offices of asthma specialists. The specialist's rating of asthma control after spirometry was also collected. Stepwise regression methods were used to select a subset of items that showed the greatest discriminant validity in relation to the specialist's rating of asthma control. Internal consistency reliability was computed, and discriminant validity tests were conducted for ACT scale scores. The performance of ACT was investigated by using logistic regression methods and receiver operating characteristic analyses. RESULTS: Five items were selected from regression analyses. The internal consistency reliability of the 5-item ACT scale was 0.84. ACT scale scores discriminated between groups of patients differing in the specialist's rating of asthma control (F = 34.5, P <.00001), the need for change in patient's therapy (F = 40.3, P <.00001), and percent predicted FEV(1) (F = 4.3, P =.0052). As a screening tool, the overall agreement between ACT and the specialist's rating ranged from 71% to 78% depending on the cut points used, and the area under the receiver operating characteristic curve was 0.77. CONCLUSION: Results reinforce the usefulness of a brief, easy to administer, patient-based index of asthma control.

Adolescent↗

PubMed2004

Psychometric evaluation of the SF-36 health survey in Medicare managed care.

Data quality and scoring assumptions for the SF-36 Health Survey were evaluated among the elderly and disabled, using 1998 Cohort I baseline Medicare HOS data (n=177,714). Missing data rates were low, and scoring assumptions were met. Internal consistency reliability was 0.83 to 0.93 for the eight scales and 0.94 and 0.89, respectively, for the physical (PCS) and mental (MCS) component summary measures. Results declined with increased risk factors (e.g., older age, more chronic conditions), but were well above accepted standards for all subgroups. These findings support using standard algorithms for scoring the SF-36 in the HOS and subgroup analyses of HOS data.

Adult↗

PubMed2003

The potential synergy between cognitive models and modern psychometric models.

Analyses of cognitive aspects of survey methodology (CASM) and psychometric analysis are two methods that are able to complement each other. We use concrete examples to illustrate how psychometric analyses can test hypotheses from CASM. The psychometrics framework recognizes that survey responses are affected by other factors than the concept being assessed, for example by cognitive factors and processes. Such factors are subsumed under the concept of measurement error. Possible sources of measurement error can be tested, e.g. by randomized experiments. A standard way to reduce measurement error is to ask several questions about the same concept and combine the answers into a multi-item scale that is more precise than the individual items. Techniques like structural equation models use the item correlations to assess the magnitude of measurement error and to test the assumptions behind the multi-item scale, e.g. the effect of common response choices and item time frames. A central problem in modern psychometrics is how to model the mapping of the continuous latent variable onto the item response choice categories. This is achieved by threshold models (e.g. item response models and structural equation models for categorical data). These models can, for example, analyze the impact of mode of administration, test whether the items function in the same way for all people (measurement invariance/differential item functioning) and examine the consistency of responses from any single person. Such analyses provide new possibilities for combining psychometrics and cognitive methods.

Attitude to Health↗

PubMed2003

Applications of computerized adaptive testing (CAT) to the assessment of headache impact.

OBJECTIVE: To evaluate the feasibility of computerized adaptive testing (CAT) and the reliability and validity of CAT-based estimates of headache impact scores in comparison with 'static' surveys. METHODS: Responses to the 54-item Headache Impact Test (HIT) were re-analyzed for recent headache sufferers (n = 1016) who completed telephone interviews during the National Survey of Headache Impact (NSHI). Item response theory (IRT) calibrations and the computerized dynamic health assessment (DYNHA) software were used to simulate CAT assessments by selecting the most informative items for each person and estimating impact scores according to pre-set precision standards (CAT-HIT). Results were compared with IRT estimates based on all items (total-HIT), computerized 6-item dynamic estimates (CAT-HIT-6), and a developmental version of a 'static' 6-item form (HIT-6-D). Analyses focused on: respondent burden (survey length and administration time), score distributions ('ceiling' and 'floor' effects), reliability and standard errors, and clinical validity (diagnosis, level of severity). A random sample (n = 245) was re-assessed to test responsiveness. A second study (n = 1103) compared actual CAT surveys and an improved 'static' HIT-6 among current headache sufferers sampled on the Internet. Respondents completed measures from the first study and the generic SF-8 Health Survey; some (n = 540) were re-tested on the Internet after 2 weeks. RESULTS: In the first study, simulated CAT-HIT and total-HIT scores were highly correlated (r = 0.92) without 'ceiling' or 'floor' effects and with a substantial reduction (90.8%) in respondent burden. Six of the 54 items accounted for the great majority of item administrations (3603/5028, 77.6%). CAT-HIT reliability estimates were very high (0.975-0.992) in the range where 95% of respondents scored, and relative validity (RV) coefficients were high for diagnosis (RV = 0.87) and severity (RV = 0.89); patient-level classifications were accurate 91.3% for a diagnosis of migraine. For all three criteria of change, CAT-HIT scores were more responsive than all other measures. In the second study, estimates of respondent burden, item usage, reliability and clinical validity were replicated. The test-retest reliability of CAT-HIT was 0.79 and alternate forms coefficients ranged from 0.85 to 0.91. All correlations with the generic SF-8 were negative. CONCLUSIONS: CAT-based administrations of headache impact items achieved very large reductions in respondent burden without compromising validity for purposes of patient screening or monitoring changes in headache impact over time. IRT models and CAT-based dynamic health assessments warrant testing among patients with other conditions.

Computer Systems↗

PubMed2003

Using item response theory to calibrate the Headache Impact Test (HIT) to the metric of traditional headache scales.

BACKGROUND: Item response theory (IRT) scoring of health status questionnaires offers many advantages. However, to ensure 'backwards comparability' and to facilitate interpretations of results, we need the ability to express the IRT score in the metrics of the traditional scales. OBJECTIVES: To develop procedures to calibrate IRT-based scores on the Headache Impact Test (HIT) into the metrics of the traditional headache scales. To assess the degree to which the calibrated HIT scores agree with the observed traditional scores and lead to the same conclusions in group comparisons. METHODS: We used telephone interview data (n = 1016) and Internet data (n = 1103) from general population surveys of recent headache sufferers. Analyses were conducted in four steps: (1) develop IRT models for all items, (2) for each IRT score level, calculate the expected score on each of the traditional scales (calibration), (3) adjust this calibrated score for measurement error in the IRT score, (4) for each of the traditional scales, assess agreement between calibrated HIT scores and observed scores using intraclass correlation (ICC) and evaluate the agreement of mean scores and the relative validity (RV) in discriminating among groups differing in migraine diagnosis, headache severity, and change in impact over time. RESULTS: For the traditional categorical questionnaire items (the Migraine Specific Questionnaire (MSQ) and the Headache Disability Inventory (HDI)) the calibrated HIT agreed with the observed traditional scores: ICC's were between 0.80 and 0.94. In RV analyses the maximum mean difference between the observed and expected scores was 1.7 points on a 0-100 scale for comparisons at one point in time. Analyses of change over time and analyses calibrating scores from the fixed-form HIT-6 to the metric of other questionnaires were also satisfactory although less precise. Analysis of non-standard questionnaire items (e.g. On how many days in the past 3 months did you have a headache, from the HIMQ and the MIDAS) required special IRT models. Agreement was less good: ICC's were between 0.56 and 0.61 and the maximum mean differences were 2.9 (on a 0-270 scale) and 3.8 (on a 0-450 scale) in RV analyses at one point in time. The ability of the calibrated scale scores to discriminate between groups was at least as good as the ability of the observed sum scales and often remarkably better. CONCLUSION: The theoretical advantage of IRT models in scale calibration is supported by our results. This approach to achieving comparability of new and widely-used scales and accelerating the accumulation of interpretation guidelines based on previous work warrant testing for measures of other generic and disease-specific concepts.

Adolescent↗

PubMed2003

Calibration of an item pool for assessing the burden of headaches: an application of item response theory to the headache impact test (HIT).

BACKGROUND: Measurement of headache impact is important in clinical trials, case detection, and the clinical monitoring of patients. Computerized adaptive testing (CAT) of headache impact has potential advantages over traditional fixed-length tests in terms of precision, relevance, real-time quality control and flexibility. OBJECTIVE: To develop an item pool that can be used for a computerized adaptive test of headache impact. METHODS: We analyzed responses to four well-known tests of headache impact from a population-based sample of recent headache sufferers (n = 1016). We used confirmatory factor analysis for categorical data and analyses based on item response theory (IRT). RESULTS: In factor analyses, we found very high correlations between the factors hypothesized by the original test constructers, both within and between the original questionnaires. These results suggest that a single score of headache impact is sufficient. We established a pool of 47 items which fitted the generalized partial credit IRT model. By simulating a computerized adaptive health test we showed that an adaptive test of only five items had a very high concordance with the score based on all items and that different worst-case item selection scenarios did not lead to bias. CONCLUSION: We have established a headache impact item pool that can be used in CAT of headache impact.

Adolescent↗

PubMed2003

The feasibility of applying item response theory to measures of migraine impact: a re-analysis of three clinical studies.

BACKGROUND: Item response theory (IRT) is a powerful framework for analyzing multiitem scales and is central to the implementation of computerized adaptive testing. OBJECTIVES: To explain the use of IRT to examine measurement properties and to apply IRT to a questionnaire for measuring migraine impact--the Migraine Specific Questionnaire (MSQ). METHODS: Data from three clinical studies that employed the MSQ-version 1 were analyzed by confirmatory factor analysis for categorical data and by IRT modeling. RESULTS: Confirmatory factor analyses showed very high correlations between the factors hypothesized by the original test constructions. Further, high item loadings on one common factor suggest that migraine impact may be adequately assessed by only one score. IRT analyses of the MSQ were feasible and provided several suggestions as to how to improve the items and in particular the response choices. Out of 15 items, 13 showed adequate fit to the IRT model. In general, IRT scores were strongly associated with the scores proposed by the original test developers and with the total item sum score. Analysis of response consistency showed that more than 90% of the patients answered consistently according to a unidimensional IRT model. For the remaining patients, scores on the dimension of emotional function were less strongly related to the overall IRT scores that mainly reflected role limitations. Such response patterns can be detected easily using response consistency indices. Analysis of test precision across score levels revealed that the MSQ was most precise at one standard deviation worse than the mean impact level for migraine patients that are not in treatment. Thus, gains in test precision can be achieved by developing items aimed at less severe levels of migraine impact. CONCLUSIONS: IRT proved useful for analyzing the MSQ. The approach warrants further testing in a more comprehensive item pool for headache impact that would enable computerized adaptive testing.

Adolescent↗

PubMed2003

Usefulness of the SF-8 Health Survey for comparing the impact of migraine and other conditions.

BACKGROUND: Migraine headaches have been shown to have substantial personal and societal implications. Health-related quality of life (HRQOL) assessments of migraineurs have been used to monitor and evaluate patient- and population-based outcomes, and to evaluate effectiveness and responsiveness to treatment. In this paper, we test a new, even shorter generic health survey, the SF-8 Health Survey (SF-8), an alternate form that uses one question to measure each of the eight SF-36 Health Survey (SF-36) domains, in a sub-sample of migraine sufferers. METHODS: Data from 7557 participants surveyed via the Internet and mail were used to document the burden of migraine on HRQOL and to compare the relative burden of migraine with other chronic conditions using the SF-8. RESULTS: Migraineurs' HRQOL is similar to those with congestive heart failure, hypertension and diabetes, and is better than those with depression. Migraine sufferers experience better physical health and worse mental health (MH) than those with osteoarthritis. Results support prior research indicating that the burden of migraine on functional health and well-being is considerable and comparable to other chronic conditions known to have substantial impact on HRQOL. CONCLUSIONS: The SF-8 may provide a more practical and efficient method to describe the burden of migraine in population studies.

Adult↗

PubMed2002

Health-related quality of life in early rheumatoid arthritis: impact of disease and treatment response.

OBJECTIVE: To document the burden of early rheumatoid arthritis (RA) on health-related quality of life (HQL) and compare changes in HQL across 2 treatments. STUDY DESIGN: Analysis of HQL scores among patients enrolled in a multicenter, double-blind, randomized control trial of early RA treatment. PATIENTS AND METHODS: A total of 424 patients with early RA were randomized to 1 of 2 treatment groups: etanercept or methotrexate. Patients were treated and followed for 52 weeks. Health-related quality of life was assessed before and throughout treatment using the Medical Outcomes Study Short Form 36 Health Survey (SF-36) and the Health Assessment Questionnaire (HAQ). The HQL burden of RA was established by comparing SF-36 scale scores to general US population norms. The impact of treatment on HQL was determined by comparing scores on both SF-36 and HAQ scales. RESULTS: Before treatment, RA patients showed significant decrements in scores on all SF-36 scales and summary measures in comparison with age- and sex-matched general US population norms, multivariate analysis of variance (MANOVA) F(8,2815) = 204.6, P < .0001. After 52 weeks of treatment, 7 of 8 SF-36 scales and the physical summary measure remained significantly below the general US population norm, MANOVA F(8,2815) = 41.9, P < .0001. Patients randomized to etanercept showed significantly better HQL improvement earlier in treatment than patients randomized to methotrexate on the SF-36 physical summary, MANOVA F(10,4230) = 6.1, P< .0001, the SF-36 arthritis-specific health index, MANOVA F(10,4230) = 8.5, P < .0001, and the HAQ, MANOVA F(10,4230) = 14.7, P < .0001. At 52 weeks, there were no significant differences between treatment groups. CONCLUSIONS: Rheumatoid arthritis places tremendous disease burden on patients' HQL. Successful treatment of early RA improved HQL. Etanercept showed a rapid HQL response.

Adult↗