Skip to main content
main-content
Top

Tip

Swipe om te navigeren naar een ander artikel

Gepubliceerd in: Quality of Life Research 3/2013

01-04-2013 | Brief Communication

Psychometric assessment of the patient activation measure short form (PAM-13) in rural settings

Auteurs: Man Hung, Marjorie Carter, Candace Hayden, Rhonda Dzierzon, Jose Morales, Laverne Snow, Jorie Butler, Kim Bateman, Matthew Samore

Gepubliceerd in: Quality of Life Research | Uitgave 3/2013

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

Abstract

Purpose

The patient activation measure short form (PAM-13) assesses patients’ self-reported health management skills, knowledge, confidence, and motivation. We used item response theory to evaluate the psychometric properties of the PAM-13 utilized in rural settings.

Methods

A Rasch partial credit model analysis was conducted on the PAM-13 instrument using a sample of 812 rural patients recruited by providers and our research staff. Specially, we examined dimensionality, item fit, and quality of measures, category response curves, and item differential functioning. Convergent and divergent validities were also examined.

Findings

The PAM-13 instrument has excellent convergent and divergent validities. It is fairly unidimensional, and all items fit the Rasch model well. It has relatively high person and item reliability indices. Majority of the items were free of item differential functioning. There were, however, some issues with ceiling effects. Additionally, there was a lack of responses for category one across all items.

Conclusions

Patient activation measure short form (PAM-13) performs well in some areas, but not all. In general, more items need to be added to cover the upper end of the trait. The four response categories of PAM-13 should be collapsed into three.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
go back to reference Hibbard, J. H., Stockard, J., Mahoney, E. R., & Tusler, M. (2004). Development of the patient activation measure (PAM): Conceptualizing and measuring activation in patients and consumers. Health Service Research, 39(4 Pt 1), 1005–1026. CrossRef Hibbard, J. H., Stockard, J., Mahoney, E. R., & Tusler, M. (2004). Development of the patient activation measure (PAM): Conceptualizing and measuring activation in patients and consumers. Health Service Research, 39(4 Pt 1), 1005–1026. CrossRef
2.
go back to reference Rasch, G. (1980). Probabilistic models for some intelligence and attainment tests. Chicago: The University of Chicago Press. Rasch, G. (1980). Probabilistic models for some intelligence and attainment tests. Chicago: The University of Chicago Press.
3.
go back to reference Virani, S., Burke, L., Remick, S. C., & Abraham, J. (2011). Barriers to recruitment of rural patients in cancer clinical trials. Journal of Oncology Practice, 7(3), 172–177. PubMedCrossRef Virani, S., Burke, L., Remick, S. C., & Abraham, J. (2011). Barriers to recruitment of rural patients in cancer clinical trials. Journal of Oncology Practice, 7(3), 172–177. PubMedCrossRef
4.
go back to reference Buzza, C., Ono, S. S., Turvey, C., Wittrock, S., Noble, M., Reddy, G., et al. (2011). Distance is relative: Unpacking a principal barrier in rural healthcare. Journal of General Internal Medicine, 26(Suppl 2), 648–654. PubMedCrossRef Buzza, C., Ono, S. S., Turvey, C., Wittrock, S., Noble, M., Reddy, G., et al. (2011). Distance is relative: Unpacking a principal barrier in rural healthcare. Journal of General Internal Medicine, 26(Suppl 2), 648–654. PubMedCrossRef
5.
go back to reference Tollefson, J., Usher, K., & Foster, K. (2011). Relationship in pain: The experience of relationships to people living with chronic pain in rural areas. International Journal of Nursing Practice, 17, 478–485. PubMedCrossRef Tollefson, J., Usher, K., & Foster, K. (2011). Relationship in pain: The experience of relationships to people living with chronic pain in rural areas. International Journal of Nursing Practice, 17, 478–485. PubMedCrossRef
6.
go back to reference Hartley, D. (2004). Rural health disparities, population health, and rural culture. American Journal of Public Health, 94(10), 1675–1678. PubMedCrossRef Hartley, D. (2004). Rural health disparities, population health, and rural culture. American Journal of Public Health, 94(10), 1675–1678. PubMedCrossRef
7.
go back to reference Phillips, C. D., Hawes, C., & Leyk Williams, M. (2003). Nursing homes in rural and urban areas, 2000. College Station, TX, USA: The Texas A&M University System Health Science Center, School of Rural Public Health, Southwest Rural Health Research Center. Phillips, C. D., Hawes, C., & Leyk Williams, M. (2003). Nursing homes in rural and urban areas, 2000. College Station, TX, USA: The Texas A&M University System Health Science Center, School of Rural Public Health, Southwest Rural Health Research Center.
8.
go back to reference Eberhardt, M., Ingram, D., & Makuc, D. (2001). Health, United States 2001: Urban and rural health chart book. Hyattsville, MD, USA: National Center for Health Statistics. Eberhardt, M., Ingram, D., & Makuc, D. (2001). Health, United States 2001: Urban and rural health chart book. Hyattsville, MD, USA: National Center for Health Statistics.
9.
go back to reference Coward, R. T., McLaughlin, D., & Duncan, R. P. (1994). An overview of health and aging in rural America. In R. T. Coward, G. Brill, & G. Kukulaka (Eds.), Health services for rural elders. New York, NY, USA: Springer. Coward, R. T., McLaughlin, D., & Duncan, R. P. (1994). An overview of health and aging in rural America. In R. T. Coward, G. Brill, & G. Kukulaka (Eds.), Health services for rural elders. New York, NY, USA: Springer.
10.
go back to reference Norton, C. H., & McManus, M. A. (1989). Background tables on demographic characteristics, health status, and health services utilization. Health Services Research, 23(6), 725–756. PubMed Norton, C. H., & McManus, M. A. (1989). Background tables on demographic characteristics, health status, and health services utilization. Health Services Research, 23(6), 725–756. PubMed
11.
go back to reference Schlenker, R. E., Powell, M. C., & Goodrich, G. K. (2002). Rural-urban home health care differences before the balanced budget act of 1997. Journal of Rural Health, 18(2), 359–372. PubMedCrossRef Schlenker, R. E., Powell, M. C., & Goodrich, G. K. (2002). Rural-urban home health care differences before the balanced budget act of 1997. Journal of Rural Health, 18(2), 359–372. PubMedCrossRef
12.
go back to reference Gamm, L., Hutchison, L., & Dabney, B. J. (2003). Rural healthy people 2010: A companion document to healthy people 2010. College Station, TX, USA: The Texas A&M University System Health Science Center, School of Rural Public Health, Southwest Rural Health Research Center. Gamm, L., Hutchison, L., & Dabney, B. J. (2003). Rural healthy people 2010: A companion document to healthy people 2010. College Station, TX, USA: The Texas A&M University System Health Science Center, School of Rural Public Health, Southwest Rural Health Research Center.
13.
go back to reference Darby, C., Crofton, C., & Clancy, C. M. (2006). Consumer assessment of health providers and systems (CAHPS): Evolving to meet stakeholder needs. American Journal of Medical Quality, 21(2), 144–147. PubMedCrossRef Darby, C., Crofton, C., & Clancy, C. M. (2006). Consumer assessment of health providers and systems (CAHPS): Evolving to meet stakeholder needs. American Journal of Medical Quality, 21(2), 144–147. PubMedCrossRef
14.
go back to reference Bond, T. G., & Fox, C. M. (2001). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ, USA: Lawrence Erlbaum. Bond, T. G., & Fox, C. M. (2001). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ, USA: Lawrence Erlbaum.
15.
go back to reference Hung, M., Clegg, D. O., Greene, T., & Saltzman, C. L. (2011). Evaluation of the PROMIS physical function item bank in orthopaedic patients. Journal of Orthopaedic Research, 29(6), 947–953. PubMedCrossRef Hung, M., Clegg, D. O., Greene, T., & Saltzman, C. L. (2011). Evaluation of the PROMIS physical function item bank in orthopaedic patients. Journal of Orthopaedic Research, 29(6), 947–953. PubMedCrossRef
16.
go back to reference Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149–174. CrossRef Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149–174. CrossRef
17.
go back to reference Masters, G. N. (1988). The analysis of partial credit scoring. Applied Measurement in Education, 1(4), 279–297. CrossRef Masters, G. N. (1988). The analysis of partial credit scoring. Applied Measurement in Education, 1(4), 279–297. CrossRef
18.
go back to reference Joyce, T. B., & Yates, S. M. (2007). A Rasch analysis of the academic self-concept questionnaire. International Education Journal, 8(2), 470–484. Joyce, T. B., & Yates, S. M. (2007). A Rasch analysis of the academic self-concept questionnaire. International Education Journal, 8(2), 470–484.
19.
go back to reference Linacre, J. M. (2011). A user’s guide to WINSTEPS/MINISTEPS rasch model computer programs. USA: Elsevier. Linacre, J. M. (2011). A user’s guide to WINSTEPS/MINISTEPS rasch model computer programs. USA: Elsevier.
20.
go back to reference Teresi, J., Ocepek-Welikson, K., Kleinman, M., Eimicke, J. P., Crane, P. K., Jones, R. N., et al. (2009). Analysis of differential item functioning in the depression item bank from the patient reported outcome measurement information system (PROMIS): An item response theory approach. Psychology Science Quarterly, 51(2), 148–180. PubMed Teresi, J., Ocepek-Welikson, K., Kleinman, M., Eimicke, J. P., Crane, P. K., Jones, R. N., et al. (2009). Analysis of differential item functioning in the depression item bank from the patient reported outcome measurement information system (PROMIS): An item response theory approach. Psychology Science Quarterly, 51(2), 148–180. PubMed
21.
go back to reference Thissen, D., Steinberg, L., & Gerrard, M. (1986). Beyond group-mean differences: The concept of item bias. Psychological Bullentin, 99, 118–128. CrossRef Thissen, D., Steinberg, L., & Gerrard, M. (1986). Beyond group-mean differences: The concept of item bias. Psychological Bullentin, 99, 118–128. CrossRef
22.
go back to reference Wang, W. C., & Yeh, Y. L. (2003). Effects of anchor item methods on differential item functioning detection with likelihood ratio test. Applied Psychological Measurement, 27, 479–498. CrossRef Wang, W. C., & Yeh, Y. L. (2003). Effects of anchor item methods on differential item functioning detection with likelihood ratio test. Applied Psychological Measurement, 27, 479–498. CrossRef
Metagegevens
Titel
Psychometric assessment of the patient activation measure short form (PAM-13) in rural settings
Auteurs
Man Hung
Marjorie Carter
Candace Hayden
Rhonda Dzierzon
Jose Morales
Laverne Snow
Jorie Butler
Kim Bateman
Matthew Samore
Publicatiedatum
01-04-2013
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 3/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0168-9