Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 May 20;22(1):39.
doi: 10.1186/s12955-024-02255-w.

The Patient Activation Measure-13 (PAM-13) in an oncology patient population: psychometric properties and dimensionality evaluation

Affiliations

The Patient Activation Measure-13 (PAM-13) in an oncology patient population: psychometric properties and dimensionality evaluation

Inka Roesel et al. Health Qual Life Outcomes. .

Abstract

Background: Accurate assessment and enhancement of health-related skills among oncology patients are pivotal for optimizing cancer care. The Patient Activation Measure (PAM-13), a questionnaire designed to reflect an individual's knowledge, skills, and confidence in self-healthcare management, has been validated across diverse countries and settings. Concerns have been raised regarding the cross-situational applicability, as patients with specific diseases and cultural backgrounds interpret questionnaire items differently. This study aimed to examine the structural validity and psychometric properties of the PAM-13 in an oncological patient cohort.

Methods: Baseline data from a longitudinal non-randomized controlled study involving cancer out-patients (n = 1,125) from Comprehensive Cancer Centres in Southern Germany were analysed. The German version of the PAM-13 was employed. With classical test and item response theory methods data quality, reliability, convergent and structural validity, as well as psychometric properties were assessed. Exploratory (EFA) and confirmatory factor analyses (CFA) were employed to investigate the postulated unidimensionality of the underlying construct. With a partial credit model (PCM) we examined item fit, targeting, local independence and differential item functioning.

Results: Participants were predominantly female (73.0%) with a breast cancer diagnosis (41.3%). While items were generally well-accepted, ceiling effects were observed and a high mean PAM-13 score (69.7, SD = 14.2) was noted, potentially compromising responsiveness to interventions. Reliability was adequate (Cronbach's α = 0.81), person and item separation reliability were good to excellent (0.81 and 0.99, respectively). Explorations of the unidimensionality of the construct (EFA, CFA, PCM) yielded inconclusive results, hinting towards a two-factor solution. Item difficulty rankings deviated from the original. No differential item functioning was identified, and local independence was confirmed.

Conclusions: While the PAM-13 serves as a valuable instrument for comprehending and promoting health-related skills in cancer patients, the identification of ceiling effects, disordered item-difficulty rankings, and inconclusive findings regarding unidimensionality contribute to the expanding body of evidence, emphasizing the dependency of PAM-13's validity and reliability on distinctive characteristics within the population under investigation. Future research should prioritize refining or adding PAM-13 items to better capture the specific health-related challenges within diverse populations, paving the way for more effective patient engagement strategies in oncology.

Trial registration number: DRKS00021779.

Keywords: Cancer care; Confirmatory factor analysis; Exploratory factor analysis; Item response theory; PAM-13; Partial credit model; Patient activation measure; Psychometric evaluation.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
PAM-13 item responses (excluding missing data); N = 1125
Fig. 2
Fig. 2
One-factor model, robust FIML, variance-standardization method, df = 65, uncorrelated errors
Fig. 3
Fig. 3
Two-factor model, robust FIML, variance-standardization method, df = 64, uncorrelated errors
Fig. 4
Fig. 4
Four-factor model, robust FIML, variance-standardization method, df = 78, uncorrelated errors
Fig. 5
Fig. 5
Person-item map for the PAM-13. Black dots: Location (difficulty) parameters; White dots: Category thresholds (strongly disagree and disagree categories combined)

Similar articles

Cited by

References

    1. Chen S, Cao Z, Prettner K, Kuhn M, Yang J, Jiao L, et al. Estimates and projections of the Global Economic cost of 29 cancers in 204 countries and territories from 2020 to 2050. JAMA Oncol. 2023;9(4):465–72. doi: 10.1001/jamaoncol.2022.7826. - DOI - PMC - PubMed
    1. Prager GW, Braga S, Bystricky B, Qvortrup C, Criscitiello C, Esin E, et al. Global cancer control: responding to the growing burden, rising costs and inequalities in access. ESMO Open. 2018;3(2):e000285. doi: 10.1136/esmoopen-2017-000285. - DOI - PMC - PubMed
    1. National Cancer Institute Cancer Statistics. 2020 [ https://www.cancer.gov/about-cancer/understanding/statistics.
    1. Institute of Medicine Cancer Care for the Whole PatientAdler NE, Page AEK, editors. Meeting Psychosocial Health needs. Washington, DC: The National Academies; 2008. p. 454. - PubMed
    1. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1(1):2–4. - PubMed