Development and cross-validation of a home functioning scale for people with multiple sclerosis

被引:0
|
作者
Li, Jian [1 ]
Fitzgerald, Shawn [2 ]
Bishop, Malachy [3 ]
Zhang, Han [1 ]
Rumrill, Phillip [4 ]
机构
[1] Kent State Univ, Sch Fdn Leadership & Adm, Kent, OH 44242 USA
[2] Widener Univ, Sch Educ Innovat & Continuing Studies, Chester, PA 19013 USA
[3] Univ Kentucky, Dept Early Childhood Special Educ & Rehabil Couns, Lexington, KY USA
[4] Kent State Univ, Sch Lifespan Dev & Educ Sci, Kent, OH 44242 USA
关键词
Multiple sclerosis; home functioning; measurement development; psychometric methods; Exploratory Factor Analysis (EFA); Confirmatory Factor Analysis (CFA); cross-validation;
D O I
10.3233/JVR-150729
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
BACKGROUND: After extensive review of existing measures, it was deemed that a brief self-report instrument that measures the functioning difficulties and limitations of people with MS in and around their home should be developed. OBJECTIVE: The purposes of this study were to develop an instrument that can measure the degree of difficulty in functioning that people with multiple sclerosis (MS) experience within their residence and to test the psychometric properties of the newly developed scale. METHODS: To test the factorial validity of the Home Functioning Scale, both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were utilized in a cross-validation approach in this study. RESULTS: The new scale captured three functioning difficulty components: (1) functioning needed to take care of oneself at home, (2) functioning needed to conduct house work and house maintenance, and (3) functioning needed to carry out one's own medical needs and treatment at home. Unlike many other scales in the field, this measure is not disease or symptom-specific, but task-oriented and site-specific. CONCLUSION: The use of the scale can be instrumental to rehabilitation counselors and allied health practitioners in the field.
引用
收藏
页码:115 / 129
页数:15
相关论文
共 50 条
  • [1] Scale development based on likelihood cross-validation
    Knafl, George J.
    Dixon, Jane K.
    O'Malley, Jean P.
    Grey, Margaret
    Deatrick, Janet A.
    Gallo, Agatha
    Knafl, Kathleen A.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2012, 21 (06) : 599 - 619
  • [2] Explaining fatigue in multiple sclerosis: cross-validation of a biopsychosocial model
    Wijenberg, Melloney L. M.
    Stapert, Sven Z.
    Kohler, Sebastian
    Bol, Yvonne
    JOURNAL OF BEHAVIORAL MEDICINE, 2016, 39 (05) : 815 - 822
  • [3] Explaining fatigue in multiple sclerosis: cross-validation of a biopsychosocial model
    Melloney L. M. Wijenberg
    Sven Z. Stapert
    Sebastian Köhler
    Yvonne Bol
    Journal of Behavioral Medicine, 2016, 39 : 815 - 822
  • [4] The development and validation of the impact of multiple sclerosis scale and the symptoms of multiple sclerosis scale
    McMillan, Lindsay
    Moore, Kathleen A.
    ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2006, 87 (06): : 832 - 841
  • [5] Validation of the Social Provisions Scale in People With Multiple Sclerosis
    Chiu, Chung-Yi
    Motl, Robert W.
    Ditchman, Nicole
    REHABILITATION PSYCHOLOGY, 2016, 61 (03) : 297 - 307
  • [6] Development and validation of a self-efficacy measure for people with multiple sclerosis: the Multiple Sclerosis Self-efficacy Scale
    Rigby, SA
    Domenech, C
    Thornton, EW
    Tedman, S
    Young, CA
    MULTIPLE SCLEROSIS JOURNAL, 2003, 9 (01) : 73 - 81
  • [7] Falls Efficacy Scale-International: A Cross-Sectional Validation in People With Multiple Sclerosis
    van Vliet, Rob
    Phu Hoang
    Lord, Stephen
    Gandevia, Simon
    Delbaere, Kim
    ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2013, 94 (05): : 883 - 889
  • [8] Stratified Cross-Validation on Multiple Columns
    Motl, Jan
    Kordik, Pavel
    2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021), 2021, : 26 - 31
  • [9] Variability of Multiple Sclerosis Walking Scale and Multiple Sclerosis Impact Scale Scores in People Without Multiple Sclerosis
    Binshalan, Tarub
    Buckley, Ellen
    Nair, Siva
    Mcneill, Alisdair
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (01)
  • [10] Evaluating Relapse Knowledge in People with Multiple Sclerosis: A Cross-Sectional Study on the Development and Validation of the Relapse Knowledge Questionnaire
    Wenzel, Lisa
    Haker, Michel
    Heesen, Christoph
    Kasper, Juergen
    Koepke, Sascha
    Rahn, Anne Christin
    MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2024, 83