Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 4/2017

19-09-2016

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

Auteurs: Bi Xia Ngooi, Tanya L. Packer, George Kephart, Grace Warner, Karen Wei Ling Koh, Raymond Ching Chiew Wong, Serene Peiying Lim

Gepubliceerd in: Quality of Life Research | Uitgave 4/2017

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

The Patient Activation Measure (PAM-13) measures patients’ knowledge, skill, and confidence in chronic condition self-management. The purpose of this study was to assess the validity of PAM-13 (English version) among English-speaking adults with cardiac conditions in Singapore.

Methods

A cross-sectional study was conducted in a convenient sample of 270 heart clinic patients. Using the unitary concept of validity, evidence of (1) internal structure via data quality, unidimensionality, differential item functioning, and internal consistency, (2) response process through item difficulty and item fit using Rasch modeling, and (3) relationship to other variables via correlations with depression and self-efficacy were examined.

Results

The item response was high with only one missing answer. All items had a small floor effect, but nine out of 13 items had a ceiling effect larger than 15 %. Cronbach’s α was 0.86, and average inter-item correlations was 0.324. Results suggested unidimensionality; however, differences in item difficulty ranking were found. A low, negative correlation was found with depression, while a moderate, positive correlation was found with self-efficacy.

Conclusion

Evidence in all three areas of validity were mixed. Caution should be exercised when using categorical activation “level” to inform clinical decisions.
vorige artikel Quality of life in people aged 65+ in Europe: associated factors and models of social welfare—analysis of data from the SHARE project (Wave 5)
volgende artikel Testing the psychometric properties of Kidscreen-27 with Irish children of low socio-economic status
Literatuur
1.
Acock, A. C. (2008). A gentle introduction to STATA (2nd ed.). Texas: Stata Press.
2.
Ahn, Y.-H., Yi, C.-H., Ham, O.-K., & Kim, B.-J. (2014). Psychometric properties of the Korean version of the “Patient Activation Measure 13” (PAM13-K) in patients with osteoarthritis. Evaluation and the Health Professions,. doi:10.​1177/​0163278714540915​.PubMed
3.
Alegria, M., Sribney, W., Perez, D., Laderman, M., & Keefe, K. (2009). The role of patient activation on patient-provider communication and quality of care for US and foreign born Latino patients. Journal of General Internal Medicine, 24, 534–541.CrossRefPubMedPubMedCentral
4.
American Educational Research Association (AERA), American Psychological Association (APA), National Council on Measurement in Education (NCME). (1999). Standards for education and psychological testing. Washington, DC: American Educational Research Association.
5.
Asudulv, A. (2013). The over time development of chronic illness self-management patterns: A longitudinal qualitative study. BMC Public Health, 13, 452–467.CrossRef
6.
Baylor, C., Hula, W., Donovan, N. J., Doyle, P. J., Kendall, D., & Yorkston, K. (2011). An introduction to item response theory and Rasch models for speech-language pathologists. American Journal of Speech-Language Pathology, 20, 243–259.CrossRefPubMed
7.
8.
Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model. Fundamental measurement in the human sciences (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
9.
Chen, W.-H., Lenderking, W., Jin, Y., Wyrwich, K. W., Gelhorn, H., & Revicki, D. A. (2014). Is Rasch model analysis applicable in small sample size pilot studies for assessing item characteristics? An example using PROMIS pain behavior item bank data. Quality of Life Research, 23, 485–493.CrossRefPubMed
10.
Chong, S. A., Abdin, E., Vaingankar, J. A., Heng, D., Sherbourne, C., Yap, M., et al. (2012). A population-based survey of mental disorders in Singapore. ANNALS Academy of Medicine Singapore, 41, 49–66.
11.
Cook, D. A., & Beckman, T. J. (2006). Current concepts in validity and reliability for psychometric instruments: Theory and application. The American Journal of Medicine, 199, 166.e7–166.e16.CrossRef
12.
Fowles, J. B., Terry, P., Si, M., Hibbard, J., Bloom, C. T., & Harvey, L. (2009). Measuring self-management of patients’ and employees’ health: Further validation of the Patient Activation Measure (PAM) based on its relation to employee characteristics. Patient Education & Counselling, 77, 116–122.CrossRef
13.
Gardetto, N. J. (2011). Self-management in heart failure: Where have we been and where should we go? Journal of Multidisciplinary Healthcare, 4, 39–51.CrossRefPubMedPubMedCentral
14.
Green, C. A., Perrin, N. A., Polen, M. R., Leo, M. C., Hibbard, J. H., & Tusler, M. (2010). Development of the Patient Activation Measure for mental health. Administration and Policy In Mental Health, 37, 327–333.CrossRefPubMed
15.
Greene, J., & Hibbard, J. H. (2012). Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. Journal of General Internal Medicine, 27, 520–526.CrossRefPubMed
16.
Hibbard, J. H., Mahoney, E. R., Stockard, J., & Tusler, M. (2004). Development of the Patient Activation Measure (PAM): Conceptualizing and measuring activation in patients and consumers. Health Services Research, 39, 1005–1026.CrossRefPubMedPubMedCentral
17.
Hibbard, J. H., Mahoney, E. R., Stockard, J., & Tusler, M. (2005). Development and testing of a short form of the Patient Activation Measure. HSR. Health Services Research, 40, 1918–1930.CrossRefPubMed
18.
19.
Hinkle, D. E., Wiersma, W., & Jurs, S. G. (1998). Applied statistics for the behavioural sciences (4th ed.). Boston, MA: Houghton Mifflin Company.
20.
Hung, M., Carter, M., Hayden, C., Dzierzon, R., Morales, J., Snow, L., et al. (2013). Psychometric assessment of the Patient Activation Measure short form (PAM-13) in rural settings. Quality of Life Research, 22, 521–529.CrossRefPubMed
21.
Insignia Health, L. L. C. (2011). Patient Activation Measure (PAM) 13 TM: license materials. Portland: Insignia Health.
22.
Linacre, J. M. (1999). Investigating rating scale category utility. Journal of Outcome Measurement, 3(2), 103–122.PubMed
23.
Linacre, J. M. (2002). Optimising rating scale category effectiveness. Journal of Applied Measurement, 3, 85–106.PubMed
24.
Lorig, K. R., Sobel, D. S., Ritter, P. L., Laurent, D., & Hobbs, M. (2001). Effect of a self-management program for patients with chronic disease. Effective Clinical Practice, 4, 256–262.PubMed
25.
26.
27.
Magnezi, R., Glasser, S., Shalev, H., Sheiber, A., & Reuveni, H. (2014). Patient activation, depression and quality of life. Patient Education and Counselling, 94, 432–437.CrossRef
28.
29.
Mair, P., & Hatzinger, R. (2007). CML based estimation of extended Rasch models with the eRm package in R. Psychology Science, 49, 26–43.
30.
McDowell, I. (2006). Measuring health—A guide to rating scales and questionnaires. Oxford: Oxford University Press Inc.CrossRef
31.
McHorney, C. A., & Tarlov, A. R. (1995). Individual-patient monitoring in clinical practice: are available health status surveys adequate? Quality of Life Research, 4, 293–307.CrossRefPubMed
32.
Messick, S. (1995). Validity of psychological assessment: Validation of inferences from person’s responses and performances as scientific inquiry into score meaning. American Psychologist, 50, 741–749.CrossRef
33.
Moljord, I. E. O., Lara-Cabrera, M. L., Perestelo-Perez, L., Rivero-Santana, A., Eriksen, L., & Linaker, O. M. (2015). Psychometric properties of the Patient Activation Measure-13 among out-patients waiting for mental health treatment: A validation study in Norway. Patient Education and Counselling, 98, 1410–1417. doi:10.​1016/​j.​pec.​2015.​06.​009.CrossRef
34.
35.
36.
37.
38.
Ngooi, B. X. (2016). Validation of the Patient Activation Measure (PAM-13) among adults with cardiac conditions in Singapore: A mixed methods study. Unpublished master’s thesis, Dalhousie University, Halifax, Canada.
39.
Packer, T. L., Kephart, G., Ghahari, S., Audulv, A., Versnel, J., & Warner, G. (2015). The Patient Activation Measure: A validation study in a neurological population. Quality of Life Research,. doi:10.​1007/​s11136-014-0908-0.PubMed
40.
R Development Core Team. (2006). R: A language and environment for statistical computing. Vienna: R Development Core Team.
41.
Rademaker, J., Nijman, J., Heok, L., Heijmans, M., & Rijken, M. (2012). Measuring patient activation in the Netherlands: translation and validation of the American short form Patient Activation Measure (PAM13). BMC Public Health, 12, 577–583.CrossRef
42.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research.
43.
Reise, S. P., & Yu, J. (1990). Parameter recovery in the graded response model using MULTILOG. Journal of Educational Measurement, 27, 133–144.CrossRef
44.
Renders, C. G., Valk, S., Griffin, E., Wagner, J. E. V., & Assendelft, W. (2001). Interventions to improve the management of diabetes in primary care, outpatient, and community settings. Diabetes Care, 24, 1821–1833.CrossRefPubMed
45.
Saha, S., Koley, M., Mahoney, E. R., Hibbard, J., Ghosh, S., Goutam, N., et al. (2014). Patient Activation Measures in a government homeopathic hospital in India. Journal of Evidence-Based Complementary & Alternative Medicine,. doi:10.​1177/​2156587214540175​.
46.
47.
48.
Sitzia, J. (1999). How valid and reliable are patient satisfaction data? An analysis of 195 studies. International Journal of Qualitative Health Care, 11, 319–328.CrossRef
49.
Skolasky, R. L., Mackenzie, E. J., Wegener, S. T., & Riley, J. H. (2008). Patient activation and adherence to physical therapy in persons undergoing spine surgery. Spine, 33, E784–E791.CrossRefPubMed
50.
Skolasky, R. L., Green, A. F., Scharfstein, D., Boult, C., Reider, L., & Wegener, S. T. (2011). Psychometric properties of the Patient Activation Measure among multimorbid older adults. HSR. Health Services Research, 46, 457–478.CrossRefPubMed
51.
Skolasky, R. L., Mackenzie, E. J., Riley, L. H., & Stephen, T. W. (2009). Psychometric properties of the Patient Activation Measure among individuals presenting for elective lumbar spine surgery. Quality of Life Research, 18, 1357–1366.CrossRefPubMedPubMedCentral
52.
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & for the Patient Health Questionnaire Primary Care Study Group. (1999). Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. JAMA, 272, 1749–1756.CrossRef
53.
54.
StataCorp. (2015). Stata 14 [computer software]. USA: StataCorp LP.
55.
Stepleman, L., Rutter, M., Hibbard, J., Johns, L., Wright, D., & Hughes, M. (2010). Validation of the Patient Activation Measure in a multiple sclerosis clinic sample and implications for care. Disability and Rehabilitation, 32, 1558–1567.CrossRefPubMed
56.
Sung, S. C., Low, C. C., Fung, D. S., & Chan, Y. H. (2013). Screening for major and minor depression in a multiethnic sample of Asian primary care patients: A comparison of the nine-item Patient health questionnaire (PHQ-9) and the 16-item quick inventory of depressive symptomatology—self-report (QIDS-SR16). Asia-Pacific Psychiatry, 5, 249–258.CrossRefPubMed
57.
Wagner, E. H., Austin, B. T., & Von Korff, M. (1996). Improving outcomes in chronic illness. Managed Care Quarterly, 4, 12–25.PubMed
58.
59.
60.
Ueshima, H., Sekikawa, A., Miura, K., Turin, T. C., Takashima, N., Kita, Y., et al. (2008). Cardiovascular disease and risk factors in Asia: A selected review. Circulation, 118, 2702–2709.CrossRefPubMedPubMedCentral
61.
Metagegevens
Titel
Validation of the Patient Activation Measure (PAM-13) among adults with cardiac conditions in Singapore
Auteurs
Bi Xia Ngooi
Tanya L. Packer
George Kephart
Grace Warner
Karen Wei Ling Koh
Raymond Ching Chiew Wong
Serene Peiying Lim
Publicatiedatum
19-09-2016
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 4/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1412-5

Andere artikelen Uitgave 4/2017

Quality of Life Research 4/2017 Naar de uitgave

OriginalPaper

Assessment of health-related quality of life, mental health status and psychological distress based on the type of pharmacotherapy used among patients with depression

OriginalPaper

Mental health and health-related quality of life of Chinese college students who were the victims of dating violence

OriginalPaper

Oral health-related quality of life in youth receiving cleft-related surgery: self-report and proxy ratings

OriginalPaper

A community-based cross-sectional study of sleep quality in middle-aged and older adults

OriginalPaper

Neonatal treatment philosophy in Dutch and German NICUs: health-related quality of life in adulthood of VP/VLBW infants

OriginalPaper

Testing whether patients with diabetes and healthy people perceive the meaning of the items in the Persian version of the SF-36 questionnaire similarly: a differential item functioning analysis