Literature DB >> 24986844

Psychometric Properties of the Korean Version of the "Patient Activation Measure 13" (PAM13-K) in Patients With Osteoarthritis.

Yang-Heui Ahn1, Chung-Hwi Yi2, Ok-Kyung Ham3, Bong-Jeong Kim4.   

Abstract

This study investigated the psychometric properties of the Korean version of the Patient Activation Measure 13 (PAM13) using Rasch analysis. The sample consisted of 270 Korean patients with osteoarthritis. The PAM13 was translated into Korean using a standardized forward-backward translation approach. In this study, the Cronbach's α coefficient was .88, the average interitem correlation was .34, and the average item-rest correlation was .55. The difficulty ranking of the item in this study differed from that in the original version. We did not need to collapse response categories. A total of 57.5% of the variance was explained by the residuals, indicating unidimensionality. The results suggest that the PAM13-K is a reliable and valid measure of activation. Further research is needed to validate item responsiveness and intervention effects.
© The Author(s) 2014.

Entities:  

Keywords:  Rasch analysis; measurement; patient activation; psychometrics; validation

Mesh:

Year:  2014        PMID: 24986844     DOI: 10.1177/0163278714540915

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  12 in total

1.  Validation of the Patient Activation Measure (PAM-13) among adults with cardiac conditions in Singapore.

Authors:  Bi Xia Ngooi; Tanya L Packer; George Kephart; Grace Warner; Karen Wei Ling Koh; Raymond Ching Chiew Wong; Serene Peiying Lim
Journal:  Qual Life Res       Date:  2016-09-19       Impact factor: 4.147

2.  Validity and reliability of the Patient Activation Measure® (PAM®)-13 Malay version among patients with Metabolic Syndrome in primary care.

Authors:  N H Bahrom; A S Ramli; M R Isa; N Baharudin; S F Badlishah-Sham; M S Mohamed-Yassin; H Abdul-Hamid
Journal:  Malays Fam Physician       Date:  2020-11-10

3.  Measuring patient activation in Italy: Translation, adaptation and validation of the Italian version of the patient activation measure 13 (PAM13-I).

Authors:  Guendalina Graffigna; Serena Barello; Andrea Bonanomi; Edoardo Lozza; Judith Hibbard
Journal:  BMC Med Inform Decis Mak       Date:  2015-12-23       Impact factor: 2.796

4.  Measuring patient engagement: development and psychometric properties of the Patient Health Engagement (PHE) Scale.

Authors:  Guendalina Graffigna; Serena Barello; Andrea Bonanomi; Edoardo Lozza
Journal:  Front Psychol       Date:  2015-03-27

5.  Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study.

Authors:  Liesbet Van Bulck; Kathleen Claes; Katrien Dierickx; Annelies Hellemans; Sofie Jamar; Sven Smets; Gijs Van Pottelbergh
Journal:  BMC Nephrol       Date:  2018-06-01       Impact factor: 2.388

6.  Adaptation of a patient activation measure (PAM) into Turkish: reliability and validity test.

Authors:  Cansu Kosar; Dilek Buyukkaya Besen
Journal:  Afr Health Sci       Date:  2019-03       Impact factor: 0.927

7.  Factors Associated with High Patient Activation Level among Individuals with Metabolic Syndrome at a Primary Care Teaching Clinic.

Authors:  Nur Hidayah Bahrom; Anis Safura Ramli; Mohamad Rodi Isa; Hasidah Abdul-Hamid; Siti Fatimah Badlishah-Sham; Noorhida Baharudin; Mohamed Syarif Mohamed-Yassin
Journal:  J Prim Care Community Health       Date:  2020 Jan-Dec

8.  Validation of the patient activation measure in patients at discharge from hospitals and at distance from hospital care in Sweden.

Authors:  Amanda Hellström; Mesfin Kassaye Tessma; Maria Flink; Anna Dahlgren; Kristina Schildmeijer; Mirjam Ekstedt
Journal:  BMC Public Health       Date:  2019-12-19       Impact factor: 3.295

9.  PEN-13: A New Generic 13-Item Questionnaire for Measuring Patient Enablement (German Version).

Authors:  Achim Siegel; Anna T Ehmann; Ingo Meyer; Oliver Gröne; Wilhelm Niebling; Peter Martus; Monika A Rieger
Journal:  Int J Environ Res Public Health       Date:  2019-12-03       Impact factor: 3.390

10.  Eliciting the Impact of Digital Consulting for Young People Living With Long-Term Conditions (LYNC Study): Cognitive Interviews to Assess the Face and Content Validity of Two Patient-Reported Outcome Measures.

Authors:  Jackie Sturt; Thandiwe Rebecca Dliwayo; Vera Forjaz; Kathryn Hamilton; Carol Bryce; Joseph Fraser; Frances Griffiths
Journal:  J Med Internet Res       Date:  2018-10-11       Impact factor: 5.428

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