PubMed Health⌕ Search

Biomedical subjects

Jeanne A Teresi

Publications and source records attributed to Jeanne A Teresi.

13 recordsLinked to original sources
PubMed2007

Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Process, format, and clinimetric testing plan.

This article presents the revision process, major innovations, and clinimetric testing program for the Movement Disorder Society (MDS)-sponsored revision of the Unified Parkinson's Disease Rating Scale (UPDRS), known as the MDS-UPDRS. The UPDRS is the most widely used scale for the clinical study of Parkinson's disease (PD). The MDS previously organized a critique of the UPDRS, which cited many strengths, but recommended revision of the scale to accommodate new advances and to resolve problematic areas. An MDS-UPDRS committee prepared the revision using the recommendations of the published critique of the scale. Subcommittees developed new material that was reviewed by the entire committee. A 1-day face-to-face committee meeting was organized to resolve areas of debate and to arrive at a working draft ready for clinimetric testing. The MDS-UPDRS retains the UPDRS structure of four parts with a total summed score, but the parts have been modified to provide a section that integrates nonmotor elements of PD: I, Nonmotor Experiences of Daily Living; II, Motor Experiences of Daily Living; III, Motor Examination; and IV, Motor Complications. All items have five response options with uniform anchors of 0 = normal, 1 = slight, 2 = mild, 3 = moderate, and 4 = severe. Several questions in Part I and all of Part II are written as a patient/caregiver questionnaire, so that the total rater time should remain approximately 30 minutes. Detailed instructions for testing and data acquisition accompany the MDS-UPDRS in order to increase uniform usage. Multiple language editions are planned. A three-part clinimetric program will provide testing of reliability, validity, and responsiveness to interventions. Although the MDS-UPDRS will not be published until it has successfully passed clinimetric testing, explanation of the process, key changes, and clinimetric programs allow clinicians and researchers to understand and participate in the revision process.

Disability Evaluation↗
PubMed2006

Item and scale differential functioning of the Mini-Mental State Exam assessed using the Differential Item and Test Functioning (DFIT) Framework.

OBJECTIVES: To illustrate the application of the Differential Item and Test Functioning (DFIT) method using English and Spanish versions of the Mini-Mental State Examination (MMSE). SUBJECTS: Study participants were 65 years of age or older and lived in North Manhattan, New York. Of the 1578 study participants who were administered the MMSE 665 completed it in Spanish. MEASURES: : The MMSE contains 20 items that measure the degree of cognitive impairment in the areas of orientation, attention and calculation, registration, recall and language, as well as the ability to follow verbal and written commands. RESEARCH DESIGN: After assessing the dimensionality of the MMSE scale, item response theory person and item parameters were estimated separately for the English and Spanish sample using Samejima's 2-parameter graded response model. Then the DFIT framework was used to assess differential item functioning (DIF) and differential test functioning (DTF). RESULTS: Nine items were found to show DIF; these were items that ask the respondent to name the correct season, day of the month, city, state, and 2 nearby streets, recall 3 objects, repeat the phrase no ifs, no ands, no buts, follow the command, "close your eyes," and the command, "take the paper in your right hand, fold the paper in half with both hands, and put the paper down in your lap." At the scale level, however, the MMSE did not show differential functioning. CONCLUSIONS: Respondents to the English and Spanish versions of the MMSE are comparable on the basis of scale scores. However, assessments based on individual MMSE items may be misleading.

Aged↗
PubMed2006

Different approaches to differential item functioning in health applications. Advantages, disadvantages and some neglected topics.

BACKGROUND AND OBJECTIVES: Reviewed in this article are topics related to the study of invariance and differential item functioning (DIF) that have received relatively little attention in the literature. Several factors influence DIF detection; these include (1) model fit, (2) model assumptions, (3) disability distributions, (4) purification, (5) cutoff values for magnitude measures, and (6) sample and scale size. METHODS: Approaches to DIF detection are discussed in terms of model assumptions, purification, magnitude and impact, and possible advantages and disadvantages of each method. CONCLUSIONS: An integrated approach to the examination of measurement equivalence, invariance, and DIF is necessary for measurement in an increasingly multi-ethnic society. Ideally, qualitative analyses should be performed in an iterative fashion to inform about findings of DIF. However, if an already-developed measure is being evaluated, then the steps might be to focus first on dimensional invariance using factor analytic methods, followed by DIF analyses examining both significance and magnitude of DIF, accompanied by formal tests of the impact of DIF. The DIF analytic method selected in the second step might be determined based on the findings summarized in the table presented within this paper.

Bias↗
PubMed2006

Differential item functioning (DIF) and the Mini-Mental State Examination (MMSE). Overview, sample, and issues of translation.

BACKGROUND: Various forms of differential item functioning (DIF) in the Mini-Mental State Examination (MMSE) have been identified. Items have been found to perform differently for individuals of different educational levels, racial/ethnic groups, and/or of groups whose first language is not English. The articles in this section illustrate the use of different methods to examine DIF in relation to English and Spanish language administration of the MMSE. OBJECTIVES: The aim of this article is to provide a context for interpretation of the findings contained in the following set of papers examining DIF in the MMSE. METHODS: The performance of the MMSE, when administered in English and Spanish, was reviewed. "Translation" has been discussed in the context of measurement bias, illustrating the variability in Spanish translations. Presented are the readability of the MMSE, description of the translation method, the study design and sample for the data set used, together with treatment of missing data, and model assumptions related to the analyses described in the accompanying set of papers examining DIF. CONCLUSIONS: The examination of item bias in cognitive impairment assessment instruments has practical and theoretical implications in the context of health disparities. Considerable DIF has been identified in the MMSE. A critical factor that may contribute to measurement bias is language translation and conversion. Once DIF has been established consistently in a measure, decisions regarding adjustments proceed. Perhaps the development of guidelines for appropriate adjustments for DIF correction in self-reported measures represents the next challenge in addressing measurement equivalence in crosscultural research.

Aged↗
PubMed2006

Identification of differential item functioning using item response theory and the likelihood-based model comparison approach. Application to the Mini-Mental State Examination.

BACKGROUND: An important part of examining the adequacy of measures for use in ethnically diverse populations is the evaluation of differential item functioning (DIF) among subpopulations such as those administered the measure in different languages. A number of methods exist for this purpose. OBJECTIVE: The objective of this study was to introduce and demonstrate the identification of DIF using item response theory (IRT) and the likelihood-based model comparison approach. METHODS: Data come from a sample of community-residing elderly who were part of a dementia case registry. A total of 1578 participants were administered either an English (n = 913) or Spanish (n = 665) version of the 21-item Mini-Mental State Examination. IRT was used to identify language DIF in these items with the likelihood-based model comparison approach. RESULTS: : Fourteen of the 21 items exhibited significant DIF according to language of administration. However, because the direction of the identified DIF was not consistent for one language version over the other, the impact at the scale level was negligible. CONCLUSIONS: IRT and the likelihood-based model comparison approach comprise a powerful tool for DIF detection that can aid in the development, refinement, and evaluation of measures for use in ethnically diverse populations.

Aged↗
PubMed2006

An essay on measurement and factorial invariance.

BACKGROUND: Analysis of subgroups such as different ethnic, language, or education groups selected from among a parent population is common in health disparities research. One goal of such analyses is to examine measurement equivalence, which includes both qualitative review of the meaning of items as well as quantitative examination of different levels of factorial invariance and differential item functioning. OBJECTIVES: The purpose of this essay is to review the definitions and assumptions associated with factorial invariance, placing this formulation in the context of bias, fairness, and equity. The connection between the concepts of factorial invariance and item bias (differential item functioning) using a variant of item response theory is discussed. The situations under which different forms of invariance (weak, strong, and strict) are required are discussed. METHODS: Establishing factorial invariance involves a hierarchy of levels that include tests of weak, strong, and strict invariance. Pattern (metric or weak) factorial invariance implies that the regression slopes are invariant across groups. Pattern invariance requires only invariant factor loadings. Strong factorial invariance implies that the conditional expectation of the response, given the common and specific factors, is invariant across groups. Strong factorial invariance requires that specific factor means (represented as invariant intercepts) also be identical across groups. Strict factorial invariance implies that, in addition, the conditional variance of the response, given the common and specific factors, is invariant across groups. Strict factorial invariance requires that, in addition to equal factor loadings and intercepts, the residual (specific factor plus error variable) variances are equivalent across groups. The concept of measurement invariance that is most closely aligned to that of item response theory considers the latent variable as a common factor measured by manifest variables; the specific factors can be characterized as nuisance variables. CONCLUSIONS: Invariance of factor loadings across studied groups is required for valid comparisons of scale score or latent variable means. Strong and strict invariance may be less important in the context of basic research in which group differences in specific factors are indicative of individual differences that are important for scientific exploration. However, for most applications in which the aim is to ensure fairness and equity, strict factorial invariance is required. Health disparities research often focuses on self-reported clinical outcomes such as quality of life that are not observed directly. Latent variable models such as factor analyses are central to establishing valid assessment of such outcomes.

Bias↗
PubMed2006

Overview of quantitative measurement methods. Equivalence, invariance, and differential item functioning in health applications.

BACKGROUND: Reviewed in this article are issues relating to the study of invariance and differential item functioning (DIF). The aim of factor analyses and DIF, in the context of invariance testing, is the examination of group differences in item response conditional on an estimate of disability. Discussed are parameters and statistics that are not invariant and cannot be compared validly in crosscultural studies with varying distributions of disability in contrast to those that can be compared (if the model assumptions are met) because they are produced by models such as linear and nonlinear regression. OBJECTIVES: The purpose of this overview is to provide an integrated approach to the quantitative methods used in this special issue to examine measurement equivalence. The methods include classical test theory (CTT), factor analytic, and parametric and nonparametric approaches to DIF detection. Also included in the quantitative section is a discussion of item banking and computerized adaptive testing (CAT). METHODS: Factorial invariance and the articles discussing this topic are introduced. A brief overview of the DIF methods presented in the quantitative section of the special issue is provided together with a discussion of ways in which DIF analyses and examination of invariance using factor models may be complementary. CONCLUSIONS: Although factor analytic and DIF detection methods share features, they provide unique information and can be viewed as complementary in informing about measurement equivalence.

Cross-Cultural Comparison↗
PubMed2005

Measurement issues in health disparities research.

BACKGROUND: Racial and ethnic disparities in health and health care have been documented; the elimination of such disparities is currently part of a national agenda. In order to meet this national objective, it is necessary that measures identify accurately the true prevalence of the construct of interest across diverse groups. Measurement error might lead to biased results, e.g., estimates of prevalence, magnitude of risks, and differences in mean scores. Addressing measurement issues in the assessment of health status may contribute to a better understanding of health issues in cross-cultural research. OBJECTIVE: To provide a brief overview of issues regarding measurement in diverse populations. FINDINGS: Approaches used to assess the magnitude and nature of bias in measures when applied to diverse groups include qualitative analyses, classic psychometric studies, as well as more modern psychometric methods. These approaches should be applied sequentially, and/or iteratively during the development of measures. CONCLUSIONS: Investigators performing comparative studies face the challenge of addressing measurement equivalence, crucial for obtaining accurate results in cross-cultural comparisons.

Aged↗
PubMed2005

The Cornell Service Index as a measure of health service use.

OBJECTIVE: This article describes the development, administration, and reliability of the Cornell Services Index (CSI), a new instrument that measures health service use. The CSI was developed to create a standardized measure of the quantity and characteristics (for example, site and provider) of services used by adults. Descriptive data are provided to illustrate the application of the CSI in a community sample of adults who were newly admitted to outpatient mental health clinics. These data provide information about the pathways to care. METHODS: The interrater and test-retest reliability of the CSI were evaluated by using a sample of 40 adults who were seeking mental health treatment. Descriptive data on service use in a sample of 1,279 adults seeking care in outpatient mental health clinics was provided to demonstrate the application of the CSI. RESULTS: The CSI is a portable, easy to use, and brief assessment of service use. It has good interrater and test-retest reliability among adults without cognitive impairment. In the three months before seeking care, 31 percent of the adults interviewed had made a mental health visit, 36 percent had been hospitalized, and more than half (59 percent) had made a medical visit. Twenty-three percent of adults had sought care from a hospital's emergency department. CONCLUSIONS: The CSI is a reliable method to assess health service use for adults. The measure can extend assessment of use beyond the traditional mental health service use questions and provide a snapshot of service use patterns across types, providers, and sites of service among adults who seek mental health care.

Ambulatory Care Facilities↗
PubMed2005

The development and psychometric analyses of ADEPT: an instrument for assessing the interactions between doctors and their elderly patients.

BACKGROUND: The lack of instruments and methodologies designed specifically for assessing doctor-elderly patient interactions has constricted research on effective communication in the medical care of older adults. PURPOSE: This article reports on the development, qualitative analyses, and psychometric testing of the Assessment of Doctor-Elderly Patient Transactions (ADEPT), an instrument for assessing interactions between doctors and their elderly patients. METHODS: The ADEPT was based on the recommendations of an expert panel and designed around the three-function model of the medical interview. The ADEPT is meant to operationalize the research findings of interactional analysis studies of doctor-patient interaction. Following preliminary testing with standardized patients, the ADEPT was applied to videotaped visits of 433 patients 65 years of age and older to the doctor (n = 40) identified as their primary source of care. RESULTS: Four final scales derived from exploratory and confirmatory factor analyses were scored: Supporting, comprised of the 12 items from the first factor; Eliciting Needs, containing the 5 items from the second factor; and Informing, based on the final 6-item factor. Individual Cronbach's alphas across raters for this sample ranged from .71 to .79 for the first scale, from .83 to .88 for the second scale, and from .64 to .81 for the third scale. The reliability estimates for the total scale (23 items) ranged from .80 to .86 across raters. A fifth summed index composed of 46 binary checklist items also was computed. CONCLUSIONS: The findings indicate that credible scales can be developed for assessing communication behaviors.

Adult↗
PubMed2002

The daily spiritual experience scale: development, theoretical description, reliability, exploratory factor analysis, and preliminary construct validity using health-related data.

Spirituality and religiousness are gaining increasing attention as health research variables. However, the particular aspects examined vary from study to study, ranging from church attendance to religious coping to meaning in life. This frequently results in a lack of clarity regarding what is being measured, the meaning of the relationships between health variables and spirituality, and implications for action. This article describes the Daily Spiritual Experience Scale (DSES) and its development, reliability, exploratory factor analyses, and preliminary construct validity. Normative data from random samples and preliminary relationships of health-related data with the DSES also are included. Detailed data for the 16-item DSES are provided from two studies; a third study provided data on a subset of 6 items, and afourth study was done on the interrater reliability of the item subset. A 6-item version was used in the General Social Survey because of the need to shorten the measure for the survey. A rationale for the conceptual underpinnings and item selection is provided, as are suggested pathways for linkages to health and well-being. This scale addresses reported ordinary experiences of spirituality such as awe, joy that lifts one out of the mundane, and a sense of deep inner peace. Studies using the DSES may identify ways in which this element of life may influence emotion, cognition and behavior, and health or ways in which this element may be treated as an outcome in itself a particular component of well-being. The DSES evidenced good reliability across several studies with internal consistency estimates in the .90s. Preliminary evidence showed that daily spiritual experience is related to decreased total alcohol intake, improved quality of life, and positive psychosocial status.

Adaptation, Psychological↗
PubMedDate not supplied

Influence of cognitive impairment, illness, gender, and African-American status on psychiatric ratings and staff recognition of depression.

OBJECTIVE: The authors examined the multivariate relationships between depression recognition by staff members and characteristics of nursing home residents. METHODS: Analyses used a simple random sample of 270 residents, drawn from six randomly selected nursing homes, who were evaluated by psychiatrists for depression and depressive symptomatology. RESULTS: African Americans were generally seen by psychiatrists as having less depressive symptomatology than residents from other ethnic groups. The data suggest that nurse aides, perhaps because they see residents more often or because they are less influenced by demographic characteristics, may be the most valid source of information about residents' depression. In contrast, after partialing out the degree of depression severity, nurses tended to overrecognize depression among African-American residents. Social workers underrecognized depression among residents with cognitive impairment and/or Parkinson disease and among women, and overrecognized depression among African Americans. CONCLUSION: The results underline the need for more training in depression recognition, particularly in distinguishing social from clinical phenomena and in distinguishing symptoms of dementia from those of depression. Equally important is further investigation of the potential biases associated with diagnosis and recognition of depression among African Americans.

Black or African American↗