nach oben

Quality of Life Research

Erschienen in:

01.12.2009

Psychometric properties of the Patient Activation Measure among individuals presenting for elective lumbar spine surgery

verfasst von: Richard L. Skolasky, Ellen J. Mackenzie, Lee H. Riley III, Stephen T. Wegener

Erschienen in: Quality of Life Research | Ausgabe 10/2009

Einloggen, um Zugang zu erhalten

Abstract

Background

An individual’s propensity to engage in adaptive health and rehabilitation behaviors may account for variation in postsurgical outcome.

Purpose

To determine the psychometric properties and construct validity of the recently developed Patient Activation Measure (PAM) (previously unused in spine research) in persons undergoing elective lumbar spine surgery.

Methods

We prospectively used the PAM to assess activation in 283 patients undergoing elective lumbar spine surgery. Reliability statistics were computed using repeated assessment (baseline and 1-week follow-up) before surgery. Additional psychological attributes were assessed at baseline and correlated with patient activation. Factor analysis was used to confirm the theoretical structure of patient activation.

Results

Repeat PAM administrations had an intraclass correlation coefficient of 0.85. The PAM showed positive correlation with optimism (r = 0.75), hope (r = 0.73), self-efficacy (r = 0.65), and internal locus of control (r = 0.65) but no correlation with comorbidity (r = 0.01). Confirmatory factor analysis of the PAM items indicated reasonable fit between observed data and a three-factor patient activation model.

Conclusions

The PAM is a reliable, valid measure of patient activation for individuals undergoing elective lumbar spine surgery and may have clinical utility in identifying those at risk for poor engagement in postsurgical rehabilitation.

Junge, A., Frohlich, M., Ahrens, S., Hasenbring, M., Sandler, A. J., Grob, D., et al. (1996). Predictors of bad and good outcome of lumbar spine surgery: A prospective clinical study with 2 years’ follow-up. Spine, 21(9), 1056–1064.CrossRefPubMed

Turner, J. A., Ersek, M., Herron, L., & Deyo, R. (1992). Surgery for lumbar spinal stenosis. Attempted meta-analysis of the literature. Spine, 17(1), 1–8.CrossRefPubMed

Shabat, S., Leitner, Y., Nyska, M., Berner, Y., Fredman, B., & Gepstein, R. (2002). Surgical treatment of lumbar spinal stenosis in patients aged 65 years and older. Archives of Gerontology and Geriatrics, 35(2), 143–152.CrossRefPubMed

Goldman, L. (1983). Cardiac risks and complications of noncardiac surgery. Annals of Internal Medicine, 98(4), 504–513.PubMed

Johnson, J. C. (1988). Surgical assessment in the elderly. Geriatrics, 43(Suppl), 83–89; discussion 90.

Ergina, P. L., Gold, S. L., & Meakins, J. L. (1993). Perioperative care of the elderly patient. World Journal of Surgery, 17(2), 192–198.CrossRefPubMed

Navarro, V. (1990). Race or class versus race and class: Mortality differentials in the United States. Lancet, 336(8725), 1238–1240.CrossRefPubMed

Braithwaite, R. L., & Taylor, S. E. (Eds.). (1992). Health issues in the Black community. San Francisco: Jossey-Bass.

Furino, A. (1992). Health policy and the hispanic. Boulder, CO: Westview Press.

10.

Livingston, I. L. (Ed.). (1994). Handbook of Black American health: The Mosaic of conditions, issues, policies, and prospects. Westport, CT: Greenwood Press.

11.

Selim, A. J., Fincke, G., Ren, X. S., Deyo, R. A., Lee, A., Skinner, K., et al. (2001). Racial differences in the use of lumbar spine radiographs. Results from the Veterans Health Study. Spine, 26(12), 1364–1369.CrossRefPubMed

12.

Grant, M. D., & Herman, S. (2004). Ethnic and geographic variation in gastrostomy placement among hospitalized older patients. Journal of the National Medical Association, 96(10), 1346–1349.PubMed

13.

Andreshak, T. G., An, H. S., Hall, J., & Stein, B. (1997). Lumbar spine surgery in the obese patient. Journal of Spinal Disorders & Techniques, 10(5), 376–379.CrossRef

14.

Telfeian, A. E., Reiter, G. T., Durham, S. R., & Marcotte, P. (2002). Spine surgery in morbidly obese patients. Journal of Neurosurgery: Spine, 97(1), 20–24.CrossRef

15.

Olsen, M. A., Mayfield, J., Lauryssen, C., Polish, L. B., Jones, M., Vest, J., et al. (2003). Risk factors for surgical site infection in spinal surgery. Journal of Neurosurgery, 98(2), 149–155.PubMed

16.

Adler, N. E., Boyce, W. T., Chesney, M. A., Folkman, S., & Syme, S. L. (1993). Socioeconomic inequalities in health. No easy solution. JAMA, 269(24), 3140–3145.CrossRefPubMed

17.

Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., et al. (1994). Socioeconomic status and health. The challenge of the gradient. American Psychologist, 49(1), 15–24.CrossRefPubMed

18.

Laxton, A. W., & Perrin, R. G. (2003). The relations between social support, life stress, and quality of life following spinal decompression surgery. Spinal Cord, 41(10), 553–558.CrossRefPubMed

19.

Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4(6), 561–571.PubMed

20.

Katz, J. N., Stucki, G., Lipson, S. J., Fossel, A. H., Grobler, L. J., & Weinstein, J. N. (1999). Predictors of surgical outcome in degenerative lumbar spinal stenosis. Spine, 24(21), 2229–2233.CrossRefPubMed

21.

Kjellby-Wendt, G., Styf, J. R., & Carlsson, S. G. (1999). The predictive value of psychometric analysis in patients treated by extirpation of lumbar intervertebral disc herniation. Journal of Spinal Disorders & Techniques, 12(5), 375–379.

22.

Schade, V., Semmer, N., Main, C. J., Hora, J., & Boos, N. (1999). The impact of clinical, morphological, psychosocial and work-related factors on the outcome of lumbar discectomy. Pain, 80(1–2), 239–249.CrossRefPubMed

23.

Trief, P. M., Grant, W., & Fredrickson, B. (2000). A prospective study of psychological predictors of lumbar surgery outcome. Spine, 25(20), 2616–2621.CrossRefPubMed

24.

Dvorak, J., Gauchat, M. H., & Valach, L. (1988). The outcome of surgery for lumbar disc herniation. I. A 4–17 years’ follow-up with emphasis on somatic aspects. Spine, 13(12), 1418–1422.CrossRefPubMed

25.

Dvorak, J., Valach, L., Fuhrimann, P., & Heim, E. (1988). The outcome of surgery for lumbar disc herniation. II. A 4–17 years’ follow-up with emphasis on psychosocial aspects. Spine, 13(12), 1423–1427.CrossRefPubMed

26.

White, A. H., Rothman, R. H., & Ray, C. D. (Eds.). (1987). Lumbar spine surgery. Techniques and Complications. St. Louis: C.V. Mosby Co.

27.

Fritzell, P., Hagg, O., Wessberg, P., Nordwall, A., & Swedish Lumbar Spine Study Group. (2002). Chronic low back pain and fusion: a comparison of three surgical techniques. A prospective multicenter randomized study from the Swedish Lumbar Spine Study Group. Spine, 27(11), 1131–1141.CrossRefPubMed

28.

Mannion, A. F., Elfering, A., Staerkle, R., Junge, A., Grob, D., Dvorak, J., et al. (2007). Predictors of multidimensional outcome after spinal surgery. European Spine Journal, 16(6), 777–786.CrossRefPubMed

29.

Von Korff, M., Gruman, J., Schaefer, J., Curry, S. J., & Wagner, E. H. (1997). Collaborative management of chronic illness. Annals of Internal Medicine, 127(12), 1097–1102.

30.

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 Services Research, 39(4), 1005–1026.CrossRefPubMed

31.

Williams, G. C., McGregor, H. A., Zeldman, A., Freedman, Z. R., & Deci, E. L. (2004). Testing a self-determination theory process model for promoting glycemic control through diabetes self-management. Health Psychology, 23(1), 58–66.CrossRefPubMed

32.

Williams, G. C., McGregor, H., Zeldman, A., Freedman, Z. R., Deci, E. L., & Elder, D. (2005). Promoting glycemic control through diabetes self-management: evaluating a patient activation intervention. Patient Education and Counseling, 56(1), 28–34.CrossRefPubMed

33.

Skolasky, R. L., MacKenzie, E. J., Wegener, S. T., & Riley, L. H., III. (2008). Patient activation and adherence to physical therapy in persons undergoing spine surgery. Spine, 33(21), E784–E791.PubMedCrossRef

34.

Eichholz, K. M., & Ryken, T. C. (2003). Complications of revision spinal surgery. Neurosurgical Focus, 15(3), E1–E4.CrossRefPubMed

35.

Fritzell, P., Hagg, O., Nordwall, A., & Swedish Lumbar Spine Study Group. (2003). Complications in lumbar fusion surgery for chronic low back pain: Comparison of three surgical techniques used in a prospective randomized study. A report from the Swedish Lumbar Spine Study Group. European Spine Journal, 12(2), 178–189.PubMed

36.

Hibbard, J. H., Mahoney, E. R., Stockard, J., & Tusler, M. (2005). Development and testing of a short form of the Patient Activation Measure. Health Services Research, 40(6), 1918–1930.CrossRefPubMed

37.

Carver, C. S., & Scheier, M. F. (2005). Optimism. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 231–243). New York: Oxford University Press.

38.

Taylor, S. E., Kemeny, M. E., Aspinwall, L. G., Schneider, S. G., Rodriguez, R., & Herbert, M. (1992). Optimism, coping, psychological distress, and high-risk sexual behavior among men at risk for acquired immunodeficiency syndrome (AIDS). Journal of Personality and Social Psychology, 63(3), 460–473.CrossRefPubMed

39.

Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the life orientation test. Journal of Personality and Social Psychology, 67(6), 1063–1078.CrossRefPubMed

40.

Scheier, M. F., & Carver, C. S. (1985). Optimism, coping, and health: Assessment and implications of generalized outcome expectancies. Health Psychology, 4(3), 219–247.CrossRefPubMed

41.

Snyder, C. R., Rand, K. L., & Sigmon, D. R. (2005). Hope theory. A member of the positive psychology family. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 257–276). New York: Oxford University Press.

42.

Snyder, C. R., Harris, C., Anderson, J. R., Holleran, S. A., Irving, L. M., Sigmon, S. T., et al. (1991). The will and the ways: Development and validation of an individual-differences measure of hope. Journal of Personality and Social Psychology, 60(4), 570–585.CrossRefPubMed

43.

Babyak, M. A., Snyder, C. R., & Yoshinobu, L. (1993). Psychometric properties of the Hope Scale: A confirmatory factor analysis. Journal of Research in Personality, 27, 154–169.CrossRef

44.

Strecher, V. J., DeVellis, B. M., Becker, M. H., & Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health Education Quarterly, 13(1), 73–92.PubMed

45.

Sitharthan, T., & Kavanagh, D. J. (1990). Role of self-efficacy in predicting outcomes from a programme for controlled drinking. Drug and Alcohol Dependence, 27(1), 87–94.CrossRef

46.

Johnson, J. A. (1996). Self-efficacy theory as a framework for community pharmacy-based diabetes education programs. The Diabetes Educator, 22(3), 237–241.CrossRefPubMed

47.

Fontaine, K. R., & Cheskin, L. J. (1997). Self-efficacy, attendance, and weight loss in obesity treatment. Addictive Behaviors, 22(4), 567–570.CrossRefPubMed

48.

Colon, R. M., Wiatrek, D. E., & Evans, R. I. (2000). The relationship between psychosocial factors and condom use among African–American adolescents. Adolescence, 35(139), 559–569.PubMed

49.

Fortenberry, J. D., Brizendine, E. J., Katz, B. P., & Orr, D. P. (2002). The role of self-efficacy and relationship quality in partner notification by adolescents with sexually transmitted infections. Archives of Pediatrics and Adolescent Medicine, 156(11), 1133–1137.PubMed

50.

Zebracki, K., & Drotar, D. (2004). Outcome expectancy and self-efficacy in adolescent asthma self-management. Child Health Care, 33(2), 133–149.CrossRef

51.

Lorig, K., Chastain, R. L., Ung, E., Shoor, S., & Holman, H. R. (1989). Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis. Arthritis Rheumatology, 32(1), 37–44.CrossRef

52.

Thompson, S. C. (2005). The role of personal control in adaptive functioning. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 202–213). New York: Oxford University Press.

53.

O’Hea, E. L., Grothe, K. B., Bodenlos, J. S., Boudreaux, E. D., White, M. A., & Brantley, P. J. (2005). Predicting medical regimen adherence: The interactions of health locus of control beliefs. Journal of Health Psychology, 10(5), 705–717.CrossRefPubMed

54.

LaMontagne, L. L., Hepworth, J. T., Cohen, F., & Salisbury, M. H. (2004). Adolescents’ coping with surgery for scoliosis: Effects on recovery outcomes over time. Research in Nursing and Health, 27(4), 237–253.CrossRefPubMed

55.

Wallston, K. A., Wallston, B. S., & DeVellis, R. (1978). Development of the multidimensional health locus of control (MHLC) scales. Health Education Monographs, 6(2), 160–170.PubMed

56.

Spitzer, R. L., Williams, J. B. W., Kroenke, K., Linzer, M., deGruy, F. V., III., Hahn, S. R., et al. (1994). Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study. JAMA, 272(22), 1749–1756.CrossRefPubMed

57.

O’Connell, R. L., & Lim, L. L. (2000). Utility of the Charlson comorbidity index computed from routinely collected hospital discharge diagnosis codes. Methods of Information Medicine, 39(1), 7–11.

58.

Deyo, R. A., Cherkin, D. C., & Ciol, M. A. (1992). Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. Journal of Clinical Epidemiology, 45(6), 613–619.CrossRefPubMed

59.

Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-experimental designs for research. Boston: Houghton Mifflin Co.

60.

Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.CrossRefPubMed

61.

Kerlinger, F. N. (1986). Foundations of behavioral research. New York: Holt, Rinehart and Winston, Inc.

62.

Gliner, J. A., & Morgan, G. A. (2000). Research methods in applied settings: An integrated approach to design and analysis. Mahwah, NJ: Lawrence Erlbaum.

63.

Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait–multimethod matrix. Psychological Bulletin, 56(2), 81–105.CrossRefPubMed

64.

Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37–46.CrossRef

65.

Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7(3), 286–299.CrossRef

66.

Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606.CrossRef

67.

Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992). In search of how people change. Applications to addictive behaviors. American Psychologist, 47(9), 1102–1114.CrossRefPubMed

68.

Committee on Quality Health Care in America, Institute of Medicine. (2001). Crossing the quality chasm. A new health system for the 21st century. Washington, D.C.: National Academy Press.

Titel: Psychometric properties of the Patient Activation Measure among individuals presenting for elective lumbar spine surgery
verfasst von: Richard L. Skolasky
Ellen J. Mackenzie
Lee H. Riley III
Stephen T. Wegener
Publikationsdatum: 01.12.2009
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 10/2009
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-009-9549-0

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Psychometric properties of the Patient Activation Measure among individuals presenting for elective lumbar spine surgery

Abstract

Background

Purpose

Methods

Results

Conclusions

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Background

Purpose

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 10/2009

Same question, different answers: a comparison of global health assessments using visual analogue scales

Patient-reported outcomes instruments: bridging the gap between international copyright laws and common practice for developers and users—a case example

Intellectual property rights and good research practice

Determinants of overall quality of life in women over the first year after surgery for early stage breast cancer

The association of body mass index and health-related quality of life in the general population: data from the 2003 Health Survey of England

Does urinary incontinence affect quality of life of Greek women less severely? A cross-sectional study in two Mediterranean settings