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Biomedical subjects

Ann Burkhardt

Publications and source records attributed to Ann Burkhardt.

7 recordsLinked to original sources

Human and automated coding of rehabilitation discharge summaries according to the International Classification of Functioning, Disability, and Health.

OBJECTIVE: The International Classification of Functioning, Disability, and Health (ICF) is designed to provide a common language and framework for describing health and health-related states. The goal of this research was to investigate human and automated coding of functional status information using the ICF framework. DESIGN: The authors extended an existing natural language processing (NLP) system to encode rehabilitation discharge summaries according to the ICF. MEASUREMENTS: The authors conducted a formal evaluation, comparing the coding performed by expert coders, non-expert coders, and the NLP system. RESULTS: Automated coding can be used to assign codes using the ICF, with results similar to those obtained by human coders, at least for the selection of ICF code and assignment of the performance qualifier. Coders achieved high agreement on ICF code assignment. CONCLUSION: This research is a key next step in the development of the ICF as a sensitive and universal classification of functional status information. It is worthwhile to continue to investigate automated ICF coding.

Activities of Daily Living↗

Variation in sources of clinician-rated and self-rated instrumental activities of daily living disability.

BACKGROUND: It is unclear how well self-reports and clinician ratings of performance in the instrumental activities of daily living (IADLs; household maintenance tasks) correspond and why they may differ. METHODS: We assessed clinician-rated IADL performance using an occupational therapy protocol, the Assessment of Motor and Process Skills (AMPS). AMPS and self-rated IADL disability were compared in two groups of nondemented elderly persons without ADL limitation: a group with functional limitation only (self-reported difficulty in some area of upper or lower body function, n = 139) and a group that reported functional limitation plus IADL disability (difficulty in at least one IADL task, n = 49). Occupational therapists were blind to self-reports, and all assessments were conducted in respondent homes. RESULTS: Self-rated IADL disability was significantly associated with the AMPS motor skill score (r = -.34, p <.001), but the motor skill score was only moderately sensitive (61%) and specific (67%) in identifying self-rated disability. In adjusted logistic regression models, clinician-rated performance and self-rated IADL disability shared some physical predictors, but only clinician-rated performance was related to cognitive status. AMPS process skill scores did not relate to self-rated IADL disability or physical or cognitive status. CONCLUSIONS: In this sample of older adults without dementia or ADL disability, clinician ratings of IADL motor skill and self-rated IADL disability were correlated. Physical deficits appear to be more salient in self-ratings than is cognitive ability, because cognitive ability (in particular, verbal fluency) was associated only with clinician-rated IADL performance.

Activities of Daily Living↗

Disparities between ambient, standard lighting and retinal acuities in community-dwelling older people: Implications for disability.

OBJECTIVES: To examine three types of visual ability-ambient acuity, standard lighting acuity, and retinal acuity-and their relationship with self-reported disability. DESIGN: Cross-sectional prevalence survey. SETTING: New York, New York. PARTICIPANTS: Community-dwelling older people. MEASUREMENTS: Ambient acuity assessed using a near reading card; standard lighting acuity and retinal acuity assessed using the Retinal Acuity Meter. Difficulty in activities of daily living was assessed according to self-report. RESULTS: Mean logMAR acuities were 0.44 (20/56) for ambient acuity, 0.33 (20/44) for standard lighting acuity, and 0.19 (20/31) for retinal acuity (all pairwise differences, P < .001). Given the distribution of disability by ambient acuity in this sample, improving ambient acuity to the level of retinal acuity could potentially reduce self-care disability 22%. CONCLUSION: Better utilization of retinal acuity through optimal ophthalmologic care and improvement in lighting would likely reduce disability in older adults.

Activities of Daily Living↗

Qualitative assessment of the International Classification of Functioning, Disability, and Health with respect to the desiderata for controlled medical vocabularies.

BACKGROUND: The International Classification of Functioning, Disability, and Health (ICF), a classification system published in 2001 by the World Health Organization (WHO), provides a common language and framework for describing functional status information (FSI) in health records. METHODS: Informed by ongoing research in coding FSI in patient records, this paper qualitatively assesses the ICF framework with respect to the desiderata for controlled medical vocabularies, an enumerated a list of desirable qualities for controlled medical vocabularies proposed by Cimino [J.J. Cimino, Desiderata for controlled medical vocabularies in the twenty-first century, Meth. Inform. Med. 37 (1998) 394-403]. RESULTS: The ICF satisfies 5 of the 12 desiderata. Five points were not satisfied and two points could not be evaluated. CONCLUSION: The ICF is a rich source of relevant terms, concepts, and relationships, but it was not developed in consideration of requirements for formal terminologies. Therefore, it could serve as a base from which to develop a formal terminology of functioning and disability. This assessment is a key next step in the development of the ICF as a sensitive, universal measure of functional status.

Decision Support Techniques↗

Extending a medical language processing system to the functional status domain.

The World Health Organization's International Classification of Functioning, Disability, and Health (ICF) provides a common framework for describing functional status information (FSI) in health records. Given the expense of manual coding, we are investigating the use of natural language processing (NLP) for automated FSI coding. We used an existing NLP system that was originally designed to encode clinical information. The system's lexicon and coding table were modified and preprocessing and postprocessing programs were created, allowing for automated assignment of selected ICF codes.

Activities of Daily Living↗