The Construction of Keyforms for Obtaining Instantaneous Measures from the Occupational Performance History Interview Rating Scales

Kielhofner, Gary; Dobria, Lidia; Forsyth, Kirsty; Basu, Semonti

doi:10.1177/153944920502500104

Cited by 15 publications

(13 citation statements)

References 15 publications

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“…A possible solution to the problem of assessments that do little to inform clinical practice involves redesigning assessments using item response theory (IRT) methodologies. Rasch analysis, the one-parameter IRT model, can provide a clear picture of which items on an assessment will provide the right challenge for the patient (Kielhofner, Dobria, Forsyth, & Basu, 2005). That is, instantaneous evaluation of what the patient can and cannot do is made possible by placing his or her ability measure and item difficulty estimates on the same continuum (Linacre, 1997).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the items contributing to the construct being measured can be seen as making up a ruler with each item's difficulty estimate (logit measure) falling at a specific marking. Person ability estimates (also calculated in logits on the basis of the patient's responses to the items) can be placed on the same continuum, allowing for the direct comparison of patient ability with item difficulty (Kielhofner et al, 2005). These patient ability estimates indicate that someone possesses more or less of this construct.…”

Section: Discussionmentioning

confidence: 99%

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Creating a Clinically Useful Data Collection Form for the DASH Questionnaire

Lehman

Sindhu

Johnson³

et al. 2011

The American Journal of Occupational Therapy

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Creating a Clinically Useful Data Collection Form for the DASH Questionnaire

Lehman

Sindhu

Johnson³

et al. 2011

The American Journal of Occupational Therapy

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“…Given available technology, the data may be gathered using self-scoring forms that could provide actionable information to nutrition counselors at the point of use. Such forms have been widely used in health care and education [32][33][34].…”

Section: Analysis Of Item Measures -The First Two Research Questionsmentioning

confidence: 99%

Linear measurement of child nutrition in Liberia: An exploratory study

Anderson¹,

Independentresearcher²

2020

AJFAND

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This research utilizes the Rasch model to generate linear measures of nutrition from data on foods fed to children, thus providing a gauge with which to measure levels of child nutrition across a population. Linear measures are standardized, interval units that allow comparisons of latent constructs over time and among differing socio-economic variables. In this research, the latent construct is child nutrition. The data were drawn from the 2007 and 2013 Liberian Demographic and Health Surveys (DHS). The DHS provides data on foods fed to children, grouped by differing nutritional values. The Rasch software constructs interval measures from the yes/no responses given to the questions regarding foods fed to children. The measures then rank the foods fed to children from most frequently fed to least frequently fed. An examination of the resulting patterns indicates the nutritional levels of the children's diets. In addition to these patterns, the overall measure of each child's nutrition is also inferred from the responses to the questions as to the foods given to each child. Those measures may then be aggregated by the various socio-economic variables in the DHS database, such as geographic location, family's wealth status, or mother's educational level. The resulting analysis shows patterns that health care workers and policy-makers may use to target needed interventions in specific locations or for specific sub-groups of the population. The Liberian data used for this study show a decline in nutrition levels between 2007 and 2013 across all Liberian counties, as well as across educational and wealth categories. Using a subset of the data controlled for appropriate statistical power, a statistically significant decline in the level of nutrition was shown between the two years, in spite of impressive (25%) per capita GDP growth during this period. The results of the analysis demonstrate the feasibility of using a linear measurement model to establish standardized units by which child nutrition levels across DHS surveys may be legitimately compared.

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“…20,21 The FMA-UE keyform is shown in Figure 1. It consists of 3 regions established with Rasch analysis.…”

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confidence: 99%

Matching Task Difficulty to Patient Ability During Task Practice Improves Upper Extremity Motor Skill After Stroke

Woodbury

Anderson

Finetto

et al. 2016

Archives of Physical Medicine and Rehabilitation

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Background During upper extremity (UE) stroke rehabilitation it is critical to match patient-ability to task-difficulty to promote neural reorganization and UE skill re-learning. However, there are few methods to do so. A Fugl-Meyer Upper Extremity Assessment (FMA-UE) “keyform,” derived from Rasch Analysis informed and progressed an UE rehabilitation program. Objective Test the feasibility of the keyform method for systematically planning and progressing rehabilitation. We hypothesized that optimally-challenging task-practice will maximize UE motor skill reacquisition. Methods Inclusion criteria: ischemic stroke >3 mo., voluntarily shoulder flexion ≥30° and simultaneous elbow extension ≥20°. The keyform method defined initial targets (goals) and progressed therapy after every 3rd session. Therapy targets were practiced within the context of client-selected functional tasks not in isolation. Feasibility was defined by subject pain/fatigue, UE motor function (Wolf Motor Function Test, WMFT) and movement patterns (kinematics). Assessments were administered pre- and post-treatment and compared with paired t-tests. Task-difficulty and patient-ability measures were calculated with Rasch analysis and compared with paired t-tests (p<0.05). Results Ten subjects (59.70±9.96 yrs., 24.1±30.54 mo. post-stroke) participated in 9 sessions, 200 movement repetitions/session in <2 hrs without pain or fatigue. Subjects gained UE motor function (WMFT: Pre 22.23±24.26 seconds, Post 15.46±22.12 seconds, p=0.01), improved shoulder-elbow coordination (index of curvature: Pre 1.30±0.15, Post 1.21±0.11, p=0.01) and exhibited reduced trunk compensatory movement (trunk displacement: Pre 133.97±74.15 mm, Post 108.08±64.73 mm, p=0.02). Task-difficulty and patient-ability measures were not statistically different throughout the program (Person-ability measures of 1.01±0.05, 1.64±0.45 and 2.22±0.65 logits and item difficulty measures of 0.93±0.37, 1.70±0.20, and 2.06±0.24 logits at the 3 testing time points respectively, p>0.05). Conclusion The FMA-UE keyform is a feasible method to assure that the difficulty of tasks practiced were well matched to initial and evolving levels of UE motor ability.

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The Construction of Keyforms for Obtaining Instantaneous Measures from the Occupational Performance History Interview Rating Scales

Cited by 15 publications

References 15 publications

Creating a Clinically Useful Data Collection Form for the DASH Questionnaire

Creating a Clinically Useful Data Collection Form for the DASH Questionnaire

Linear measurement of child nutrition in Liberia: An exploratory study

Matching Task Difficulty to Patient Ability During Task Practice Improves Upper Extremity Motor Skill After Stroke

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