Single-case experimental designs to assess intervention effectiveness in rehabilitation: A practical guide

被引:169
|
作者
Krasny-Pacini, Agata [1 ,2 ,3 ]
Evans, Jonathan [4 ]
机构
[1] Inst Univ Readaptat Clemenceau Strasbourg, 45 Blvd Clemenceau, F-67082 Strasbourg, France
[2] CHU Strasbourg, Hop Hautepierre, Serv Chirurg Orthoped Infantile, Ave Moliere, F-67098 Strasbourg, France
[3] Hop Univ Pitie Salpetiere, GRC Handicap Cognitif & Readaptat HanCRe, F-75013 Paris, France
[4] Univ Glasgow, Acad Ctr, Gartnavel Royal Hosp, Inst Hlth & Wellbeing, 1055 Great Western Rd, Glasgow G12 0XH, Lanark, Scotland
关键词
Methodology; Single-case; Multiple baseline; Alternating treatment; Rehabilitation; COGNITIVE-BEHAVIORAL SUPPORTS; TRAINING VISUAL ANALYSIS; TRAUMATIC BRAIN-INJURY; N-OF-1; TRIALS; SUBJECT DESIGNS; TREATMENT FIDELITY; YOUNG-CHILDREN; SYSTEMATIC EVALUATION; RANDOMIZATION TESTS; CONSORT EXTENSION;
D O I
10.1016/j.rehab.2017.12.002
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Single-case experimental designs (SCED) are experimental designs aiming at testing the effect of an intervention using a small number of patients (typically one to three), using repeated measurements, sequential (+/- randomized) introduction of an intervention and method-specific data analysis, including visual analysis and specific statistics. The aim of this paper is to familiarise professionals working in different fields of rehabilitation with SCEDs and provide practical advice on how to design and implement a SCED in clinical rehabilitation practice. Research questions suitable for SCEDs and the different types of SCEDs (e.g., alternating treatment designs, introduction/withdrawal designs and multiple baseline designs) are reviewed. Practical steps in preparing a SCED design are outlined. Examples from different rehabilitation domains are provided throughout the paper. Challenging issues such as the choice of the repeated measure, assessment of generalisation, randomization, procedural fidelity, replication and generalizability of findings are discussed. Simple rules and resources for data analysis are presented. The utility of SCEDs in physical and rehabilitation medicine (PRM) are discussed. (C) 2018 Elsevier Masson SAS. All rights reserved.
引用
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页码:164 / 179
页数:16
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