title: Skill clusters of ability to manage everyday technology among people with and without cognitive impairment, dementia and acquired brain injury.
abstract: BACKGROUND
  In order to develop supporting interventions for people demonstrating problems ET use, a detailed level of description of strengths and deficits is needed.
  
  
  OBJECTIVE
  To explore clusters of specific performance skill required when using ET, and to evaluate if and in what way such clusters are associated with age, gender, diagnosis, and types of ETs managed.
  
  
  METHODS
  A secondary analysis of 661 data records from 203 heterogeneous samples of participants using the Management of Everyday Technology Assessment (META) was used. Ward's method and a hierarchical tree cluster analysis were used to determine and define the skill clusters.
  
  
  RESULTS
  Four distinct clusters of performance skill item profiles were found, across the 661 data records. These were then, based on each individuals' cluster profiles in managing ET, categorized into two groups. The two groups were associated with, diagnosis and type of ETs managed.
  
  
  CONCLUSIONS
  The findings support a more dyadic person-ET approach in evaluation of ET management. The information from the skill clusters can be used to develop targeted intervention guides for occupational therapy and healthcare.
authors.affiliation: a Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy , Karolinska Institutet , Stockholm , Sweden.
authors.forename: Camilla
authors.initials: C
authors.lastname: Malinowsky
authors.affiliation: a Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy , Karolinska Institutet , Stockholm , Sweden.|b Department of Health Sciences , Luleå University of Technology , Luleå , Sweden.
authors.forename: Mandana
authors.initials: M
authors.lastname: Fallahpour
authors.affiliation: b Department of Health Sciences , Luleå University of Technology , Luleå , Sweden.
authors.forename: Maria Larsson
authors.identifier: http://orcid.org/0000-0002-0341-6197
authors.initials: ML
authors.lastname: Lund
authors.affiliation: a Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy , Karolinska Institutet , Stockholm , Sweden.
authors.forename: Louise
authors.initials: L
authors.lastname: Nygård
authors.affiliation: a Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy , Karolinska Institutet , Stockholm , Sweden.|c Department of Occupational Therapy, College of Applied Health Sciences , University of Illinois , Chicago , IL , USA.
authors.forename: Anders
authors.identifier: http://orcid.org/0000-0002-8976-2612
authors.initials: A
authors.lastname: Kottorp
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001930:Brain Injuries / Q000534:rehabilitation*; D060825:Cognitive Dysfunction / Q000534:rehabilitation*; D003430:Cross-Sectional Studies; D003704:Dementia / Q000534:rehabilitation*; D004185:Disability Evaluation; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009788:Occupational Therapy / Q000379:methods; D013647:Task Performance and Analysis; D013672:Technology; D055815:Young Adult
keywords: Dementia; IADL; MCI