| Literature DB >> 23786651 |
Dirk Bertens1, Luciano Fasotti, Danielle H E Boelen, Roy P C Kessels.
Abstract
BACKGROUND: Many brain-injured patients referred for outpatient rehabilitation have executive deficits, notably difficulties with planning, problem-solving and goal directed behaviour. Goal Management Training (GMT) has proven to be an efficacious cognitive treatment for these problems. GMT entails learning and applying an algorithm, in which daily tasks are subdivided into multiple steps. Main aim of the present study is to examine whether using an errorless learning approach (preventing the occurrence of errors during the acquisition phase of learning) contributes to the efficacy of Goal Management Training in the performance of complex daily tasks. METHODS/Entities:
Mesh:
Year: 2013 PMID: 23786651 PMCID: PMC3693893 DOI: 10.1186/1471-2377-13-64
Source DB: PubMed Journal: BMC Neurol ISSN: 1471-2377 Impact factor: 2.474
Figure 1Flowchart of the GMT algorithm and an example of its application adapted from [[20]].
Figure 2Flowchart of the study design.
Content of GMT sessions for both treatment arms
| 1 | Providing information about training; | |
| Providing information about cognitive functioning after acquired brain injury in general with an emphasis on executive impairments; | ||
| Increasing awareness of individual executive dysfunction; | ||
| Preparing the setting of two individual treatment goals | ||
| 2 | Setting two individual chosen treatment goals (i)ADL tasks); | |
| Filling out the Goal Attainment Scale forms for each treatment goal | ||
| 3 | Defining steps concerning treatment goal 1 using cue cards and other errorless learning techniques | General information about GMT and the GMT algorithm |
| 4 | Defining steps concerning treatment goal 2 using cue cards and other errorless learning techniques | Filling out GMT scheme by participant concerning treatment goal 1 |
| 5 | Performance of the steps concerning treatment goal 1 using errorless learning techniques | Filling out GMT scheme by participant concerning treatment goal 2 |
| 6 | Performance of the steps concerning treatment goal 2 using errorless learning techniques | Performance of treatment goal 1 according to the GMT algorithm |
| 7 | Integrating the steps of treatment goal 1 into the GMT algorithm using errorless learning techniques; | Performance of treatment goal 2 according to the GMT algorithm |
| Performance of treatment goal 1 according to the GMT algorithm using errorless learning techniques | ||
| 8 | Integrating the steps of treatment goal 2 into the GMT algorithm using errorless learning techniques; | Improvement of GMT schemes concerning one or both of the treatment goals and/or practicing performance of one or both of the treatment goals |
| Performance of treatment goal 2 according to the GMT algorithm using errorless learning techniques | ||
Note. Sessions 1 and 2 are the same for both conditions.
Recruitment- and outcome variables
| | Standardized scale evaluating task steps | | X | X |
| | Goal attainment scale | | X | X |
| | Brixton spatial anticipation test | X | | X |
| Category fluency test | X | | X | |
| Go/No-go task, subtest TAP | X | | X | |
| Letter fluency test | X | | X | |
| Letter number sequencing, subtest WAIS III | X | | X | |
| Modified six elements test | X | | X | |
| Zoo map test, subtest BADS | X | | X | |
| | Rivermead behavioural memory test-third edition | X | | X |
| | Alertness task, subtest TAP | X | | X |
| | National adult reading test (Dutch version) | X | | X |
| | CFQ (Cognitive failures questionnaire) | | X | X |
| | DEX (Dysexecutive questionnaire) | | X | X |
| | EFI-NL (Executive function index) | | X | X |
| | EOS (Executive observation scale) | | X | X |
| | RAND 36-item short form health survey | X | X | |