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Adaptation and measurement invariance of the 13-item version of Patient Activation Measure across Japanese young adult cancer survivors during and after treatment: A cross-sectional observational study

Soejima, Takafumi 副島, 尭史 ソエジマ, タカフミ Kitao, Mari 神戸大学

2023.09.19

概要

The 13-item version of the Patient Activation Measure (PAM-13) is a frequently used measure that gauges the level of self-management in an individual. However, its applicability across Japanese young adult (YA) cancer survivors during and after their treatment remains unclear. This study confirmed the psychometric properties and measurement invariance of the Japanese version of PAM-13 across them during and after treatment. We used cross-sectional observational data collected through an online survey from 500 survivors in January 2022. We determined feasibility, internal consistency, concurrent validity against physical fatigue and depression, and known-groups validity regarding educational level. Structural validity was also found using Rasch analysis for survivors both during and after treatment. Furthermore, measurement invariance of the PAM-13 was examined using multiple-group structural equation modeling. Rasch fit statistics were acceptable for the unidimensional structure of PAM-13. It was found to be internally consistent for survivors during (McDonald’s omega: 0.88, item-total correlations: 0.48–0.62) and after treatment (McDonald’s omega: 0.90, item-total correlations: 0.32–0.72). The PAM-13 was concurrently valid with physical fatigue (Pearson’s product-moment correlation coefficients: -0.25 and -0.18 for survivors during and after treatment, respectively) and depression (Pearson’s product-moment correlation coefficients: -0.20 and -0.19 for survivors during and after treatment, respectively). Known-groups validity showed that survivors after treatment with a higher educational level reported a higher patient activation score than those with a lower educational level (p = 0.001); however, there was no difference due to the education level between survivors during treatment. The configural and metric invariance of the PAM-13 were confirmed, but scalar invariance was rejected. It was found that the PAM-13 is applicable for Japanese YA cancer survivors during and after treatment. However, given the lack of scalar invariance in the PAM-13, the scores of particular items between YA cancer survivors during and after treatment should be interpreted with caution.

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参考文献

1.

Zebrack BJ. Psychological, social, and behavioral issues for young adults with cancer. Cancer. 2011;

117 Supplement: 2289–2294. https://doi.org/10.1002/cncr.26056 PMID: 21523748

PLOS ONE | https://doi.org/10.1371/journal.pone.0291821 September 19, 2023

12 / 15

PLOS ONE

Adaptation of PAM-13 in young adult cancer survivors

2.

Mader L, Vetsch J, Christen S, Baenziger J, Roser K, Dehler S, et al. Education, employment and marriage in long-term survivors of teenage and young adult cancer compared with healthy controls. Swiss

Med Wkly. 2017; 147: w14419. https://doi.org/10.4414/smw.2017.14419 PMID: 28322430

3.

Tison A, Sagaon-Teyssier L, Sansonetti C, Blatier JF, Paraponaris A, VICAN 2 group. Transitions in the

labor market after cancer: A comparison of self-employed workers and salaried staff. Support Care

Cancer. 2016; 24: 4879–4886. https://doi.org/10.1007/s00520-016-3343-7 PMID: 27577189

4.

Prasad PK, Hardy KK, Zhang N, Edelstein K, Srivastava D, Zeltzer L, et al. Psychosocial and neurocognitive outcomes in adult survivors of adolescent and early young adult cancer: A report from the childhood cancer survivor study. J Clin Oncol. 2015; 33: 2545–2552. https://doi.org/10.1200/JCO.2014.57.

7528 PMID: 26150441

5.

DeRouen MC, Smith AW, Tao L, Bellizzi KM, Lynch CF, Parsons HM, et al. Cancer-related information

needs and cancer’s impact on control over life influence health-related quality of life among adolescents

and young adults with cancer. Psychooncology. 2015; 24: 1104–1115. https://doi.org/10.1002/pon.

3730 PMID: 25611943

6.

Smith AW, Bellizzi KM, Keegan TH, Zebrack B, Chen VW, Neale AV, et al. Health-related quality of life

of adolescent and young adult patients with cancer in the United States: The Adolescent and Young

Adult Health Outcomes and Patient Experience study. J Clin Oncol. 2013; 31: 2136–2145. https://doi.

org/10.1200/JCO.2012.47.3173 PMID: 23650427

7.

Bodenheimer T, Wagner EH, Grumbach K. Improving Primary Care for Patients With Chronic Illness.

JAMA. 2002; 288: 1775–1779. https://doi.org/10.1001/jama.288.14.1775 PMID: 12365965

8.

Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure

(PAM): Conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;

39: 1005–1026. https://doi.org/10.1111/j.1475-6773.2004.00269.x PMID: 15230939

9.

Rijken M, Heijmans M, Jansen D, Rademakers J. Developments in patient activation of people with

chronic illness and the impact of changes in self-reported health: Results of a nationwide longitudinal

study in the Netherlands. Patient Educ Couns. 2014; 97: 383–390. https://doi.org/10.1016/j.pec.2014.

09.006 PMID: 25266858

10.

Greene J, Hibbard JH. Why does patient activation matter? An examination of the relationships

between patient activation and health-related outcomes. J Gen Intern Med. 2012; 27: 520–526. https://

doi.org/10.1007/s11606-011-1931-2 PMID: 22127797

11.

Hibbard JH, Mahoney ER, Stockard J, Tusler M. Development and testing of a short form of the patient

activation measure. Health Serv Res. 2005; 40: 1918–1930. https://doi.org/10.1111/j.1475-6773.2005.

00438.x PMID: 16336556

´ , Hajdu O, Kova´cs L, et al. Validation of the PAM-13 instrument

Zrubka Z, Ve´ka´s P, Ne´meth P, Dobos A

in the Hungarian general population 40 years old and above. Eur J Health Econ. 2022; 23: 1341–1355.

https://doi.org/10.1007/s10198-022-01434-0 PMID: 35102464

12.

13.

Brenk-Franz K, Hibbard JH, Herrmann WJ, Freund T, Szecsenyi J, Djalali S, et al. Validation of the German version of the patient activation measure 13 (PAM13-D) in an international multicentre study of primary care patients. PLOS ONE. 2013; 8: e74786. https://doi.org/10.1371/journal.pone.0074786 PMID:

24098669

14.

Bomba F, Markwart H, Mu¨hlan H, Menrath I, Ernst G, Thyen U, et al. Adaptation and validation of the

German Patient Activation Measure for adolescents with chronic conditions in transitional care: PAM®

13 for Adolescents. Res Nurs Health. 2018; 41: 78–87. https://doi.org/10.1002/nur.21831 PMID:

29266283

15.

Lightfoot CJ, Wilkinson TJ, Memory KE, Palmer J, Smith AC. Reliability and validity of the patient activation measure in kidney disease: Results of Rasch analysis. Clin J Am Soc Nephrol. 2021; 16: 880–888.

https://doi.org/10.2215/CJN.19611220 PMID: 34117081

16.

Eyles JP, Ferreira M, Mills K, Lucas BR, Robbins SR, Williams M, et al. Is the Patient Activation Measure a valid measure of osteoarthritis self-management attitudes and capabilities? Results of a Rasch

analysis. Health Qual Life Outcomes. 2020; 18: 121. https://doi.org/10.1186/s12955-020-01364-6

PMID: 32370751

17.

Yao F, Zheng M, Wang X, Ji S, Li S, Xu G, et al. Patient activation level and its associated factors in

adults with chronic pain: A cross-sectional survey. Medicine. 2021; 100: e25929. https://doi.org/10.

1097/MD.0000000000025929 PMID: 34106661

18.

Van Bulck L, Claes K, Dierickx K, Hellemans A, Jamar S, Smets S, et al. Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study.

BMC Nephrol. 2018; 19: 126. https://doi.org/10.1186/s12882-018-0917-2 PMID: 29859047

19.

Goodworth MC, Stepleman L, Hibbard J, Johns L, Wright D, Hughes MD, et al. Variables associated

with patient activation in persons with multiple sclerosis. J Health Psychol. 2016; 21:82–92. https://doi.

org/10.1177/1359105314522085 PMID: 24591120

PLOS ONE | https://doi.org/10.1371/journal.pone.0291821 September 19, 2023

13 / 15

PLOS ONE

Adaptation of PAM-13 in young adult cancer survivors

20.

Schmaderer MS, Zimmerman L, Hertzog M, Pozehl B, Paulman A. Correlates of Patient Activation and

Acute Care Utilization Among Multimorbid Patients. West J Nurs Res. 2016; 38(10):1335–53. https://

doi.org/10.1177/0193945916651264 PMID: 27245080

21.

Fujita E, Kuno E, Kato D, Kokochi M, Uehara K, Hirayasu Y. [Development and validation of the Japanese version of the patient activation measure 13 for mental health]. Seichin Igaku (Clin Psychiatry).

2010; 52: 765–772.

22.

Howell D, Mayer DK, Fielding R, Eicher M, Verdonck-de Leeuw IM, Johansen C, et al. Global Partners

for Self-Management in Cancer. Management of Cancer and Health After the Clinic Visit: A Call to

Action for Self-Management in Cancer Care. J Natl Cancer Inst. 2021; 113: 523–531. https://doi.org/10.

1093/jnci/djaa083 PMID: 32525530

23.

McCorkle R, Ercolano E, Lazenby M, Schulman-Green D, Schilling LS, Lorig K, et al. Self-management:

Enabling and empowering patients living with cancer as a chronic illness. CA Cancer J Clin. 2011; 61:

50–62. https://doi.org/10.3322/caac.20093 PMID: 21205833

24.

Linder LA, Erickson JM, Stegenga K, Macpherson CF, Wawrzynski S, Wilson C, et al. Symptom selfmanagement strategies reported by adolescents and young adults with cancer receiving chemotherapy.

Support Care Cancer. 2017; 25: 3793–3806. https://doi.org/10.1007/s00520-017-3811-8 PMID:

28718079

25.

Linder LA, Stegenga K, Erickson J, Ameringer S, Newman AR, Chiu YS, et al. Priority Symptoms,

Causes, and Self-Management Strategies Reported by AYAs With Cancer. J Pain Symptom Manage.

2019; 58:774–783. https://doi.org/10.1016/j.jpainsymman.2019.07.008 PMID: 31319104

26.

Gernier F, Joly F, Klein D, Mercier M, Velten M, Licaj I. Cancer-related fatigue among long-term survivors of breast, cervical, and colorectal cancer: A French registry-based controlled study. Support Care

Cancer. 2020; 28: 5839–5849. https://doi.org/10.1007/s00520-020-05427-8 PMID: 32253602

27.

Chovanec M, Vasilkova L, Setteyova L, Obertova J, Palacka P, Rejlekova K, et al. Long-term cognitive

functioning in testicular germ-cell tumor survivors. Oncologist. 2018; 23: 617–623. https://doi.org/10.

1634/theoncologist.2017-0457 PMID: 29352051

28.

Mitchell AJ, Ferguson DW, Gill J, Paul J, Symonds P. Depression and anxiety in long-term cancer survivors compared with spouses and healthy controls: A systematic review and meta-analysis. Lancet

Oncol. 2013; 14: 721–732. https://doi.org/10.1016/S1470-2045(13)70244-4 PMID: 23759376

29.

Vinette B, Mrad H, El-Akhras A, Bilodeau K. Synthesis of self-management strategies used by young

adults who have undergone hematopoietic stem cell transplantation: A narrative review. Can Oncol

Nurs J. 2021; 31:470–475. https://doi.org/10.5737/23688076314470475 PMID: 34786465

30.

Hibbard JH, Mahoney E, Sonet E. Does patient activation level affect the cancer patient journey?

Patient Educ Couns. 2017; 100: 1276–1279. https://doi.org/10.1016/j.pec.2017.03.019 PMID:

28330715

31.

van Maarschalkerweerd P, Rademakers J, Rijken M. Cancer survivors’ activation to self-management

and its relationship with participation in paid work and work-related problems. Psychooncology. 2017;

26:1881–1887. https://doi.org/10.1002/pon.4400 PMID: 28211130

32.

Mitsui K, Endo M, Imai Y, Ueda Y, Ogawa H, Muto G, et al. Predictors of resignation and sick leave after

cancer diagnosis among Japanese breast cancer survivors: A cross-sectional study. BMC Public

Health. 2021; 21: 138. https://doi.org/10.1186/s12889-021-10168-2 PMID: 33446165

33.

Okuyama T, Akechi T, Kugaya A, Okamura H, Shima Y, Maruguchi M, et al. Development and validation of the cancer fatigue scale: A brief, three-dimensional, self-rating scale for assessment of fatigue in

cancer patients. J Pain Symptom Manage. 2000; 19: 5–14. https://doi.org/10.1016/s0885-3924(99)

00138-4 PMID: 10687321

34.

Furukawa TA, Kawakami N, Saitoh M, Ono Y, Nakane Y, Nakamura Y, et al. The performance of the

Japanese version of the K6 and K10 in the World Mental Health Survey Japan. Int J Methods Psychiatr

Res. 2008; 17: 152–158. https://doi.org/10.1002/mpr.257 PMID: 18763695

35.

Cohen JE. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum

Associates, Inc; 1988.

36.

Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007; 60: 34–42.

https://doi.org/10.1016/j.jclinepi.2006.03.012 PMID: 17161752

37.

Petridou A, Williams J. Accounting for aberrant test response patterns using multilevel models. J Educ

Meas. 2007; 44: 227–247. https://doi.org/10.1111/j.1745-3984.2007.00036.x

38.

Linacre JM. A user’s guide to WINSTEPS-Ministep: Rasch-model computer programs. Internet. Winsteps program manual. 2010. [Cited 2022 May 25]. Available from: https://www.winsteps.com/winman/

copyright.htm.

PLOS ONE | https://doi.org/10.1371/journal.pone.0291821 September 19, 2023

14 / 15

PLOS ONE

Adaptation of PAM-13 in young adult cancer survivors

39.

McDonald RP. Test Theory?: A Unified Treatment. New Jersey: Lawrence Erlbaum Associates, Inc.;

1999.

40.

Nurosis MJ. SPSS for Windows base system users guide. Chicago: SPSS, Inc.; 1993.

41.

Fornell C, Larcker DF. Structural Equation Models with Unobservable Variables and Measurement

Error: Algebra and Statistics. J Mark Res. 1981; 18: 382–388. https://doi.org/10.2307/3152980

42.

Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model.

2007; 14: 464–504. https://doi.org/10.1080/10705510701301834

43.

Schermelleh-Engel K, Moosbrugger H, Mu¨ller H. Evaluating the fit of structural equation models: Tests

of significance and descriptive goodness-of-fit measures. Methods Psychol Res. 2003; 8: 23–74.

44.

Widaman KF, Reise SP. Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In: Bryant KJ, Windle M, West SG, editors. The science of prevention: Methodological advances from alcohol and substance abuse research. Washington, District of

Columbia: American Psychological Association; 1997. pp. 281–324.

45.

Nguyen VB, Thi KHP, Nguyen TX, Pham NTL, Nguyen VVH, Van Le C. Diabetes self-management and

its associated factors among patients with diabetes in central Vietnam: A cross-sectional study. PLOS

ONE. 2022; 17: e0270901. https://doi.org/10.1371/journal.pone.0270901 PMID: 35802719

46.

Wireklint P, Hasselgren M, Montgomery S, Lisspers K, Sta¨llberg B, Janson C, et al. Factors associated

with knowledge of self-management of worsening asthma in primary care patients: A cross-sectional

study. J Asthma. 2021; 58: 1087–1093. https://doi.org/10.1080/02770903.2020.1753209 PMID:

32283944

47.

Gela D, Mengistu D. Self-management and associated factors among patients with end-stage renal disease undergoing hemodialysis at health facilities in Addis Ababa, Ethiopia. Int J Nephrol Renovasc Dis.

2018; 11: 329–336. https://doi.org/10.2147/IJNRD.S184671 PMID: 30568478

48.

Moody L, Turner A, Osmond J, Hooker L, Kosmala-Anderson J, Batehup L. Web-based self-management for young cancer survivors: consideration of user requirements and barriers to implementation. J

Cancer Surviv. 2015; 9:188–200. https://doi.org/10.1007/s11764-014-0400-4 PMID: 25236685

49.

Trevino KM, Fasciano K, Prigerson HG. Patient-oncologist alliance, psychosocial well-being, and treatment adherence among young adults with advanced cancer. J Clin Oncol. 2013; 31: 1683–1689.

https://doi.org/10.1200/JCO.2012.46.7993 PMID: 23530105

50.

Jedeloo S, van Staa A, Latour JM, van Exel NJ. Preferences for health care and self-management

among Dutch adolescents with chronic conditions: a Q-methodological investigation. Int J Nurs Stud.

2010; 47: 593–603. https://doi.org/10.1016/j.ijnurstu.2009.10.006 PMID: 19900675

51.

Morgan S, Davies S, Palmer S, Plaster M. Sex, drugs, and rock ‘n’ roll: caring for adolescents and

young adults with cancer. J Clin Oncol. 2010; 28: 4825–4830. https://doi.org/10.1200/JCO.2009.22.

5474 PMID: 20498401

52.

Palmer S, Patterson P, Thompson K. A national approach to improving adolescent and young adult

(AYA) oncology psychosocial care: the development of AYA-specific psychosocial assessment and

care tools. Palliat Support Care. 2014; 12: 183–188. https://doi.org/10.1017/S1478951512001083

PMID: 23659778

53.

Cancer statistics in Japan; 2021. Internet. [Cited 2022 Aug 4]. Available from: https://ganjoho.jp/public/

qa_links/report/statistics/2021_en.html. Tokyo: National Cancer Center Japan.

54.

Education at glance; 2021. Internet. [Cited 2022 Aug 4]. Available from: https://www.oecd-ilibrary.org/

sites/1426642c-en/index.html?itemId=/content/component/1426642c-en. Paris: Organization for Economic Co-operation and Development.

PLOS ONE | https://doi.org/10.1371/journal.pone.0291821 September 19, 2023

15 / 15

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