Journal of Health Sciences & Surveillance System

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

News

Psychometric Features of Patient Health Engagement Scale in Iranian Breast Cancer Patients

Document Type : Original Article

Authors

1 Department of Health Education & Promotion, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

2 Department of community medicine, school of medicine, Abadan university of Medical Sciences, Abadan, Iran

3 Department of Radiation Oncology, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: Breast cancer is one of the most prevalent cancers among women worldwide. The phe scale is the first credible measurement tool to delve into critically ill patients’ experiences and emotional state and detect their level of engagement in the treatment and care process. However the Persian version of the scale needs to be further investigated. Accordingly, the present study aimed to evaluate the psychometric features of the patient health engagement scale (phe s) in Iranian patients suffering from breast cancer.
Methods: This is a cross-sectional study. The sample size was estimated by multiplying the total number of items by ten. The sample size was estimated for this 5-item scale 128 breast cancer patients who referred to a specialized clinic in 2020. Content validity and reliability analysis were performed, and the data were analyzed using IBM SPSS26 software and R content validity package.
Results: The ordinal alpha of thesample was 0.626, indicating an acceptable internal consistency. The analysis of the rash model revealed an acceptable infit and outfit MNSQ (685-932). The polychoric correlation coefficient within the items was 46, representing a moderate correlation. All the factor loadings had a high value (0>60), thereby confirming the single dimensionality of the scale.
Conclusion: The phe scale has favorable reliability and validity to assess the patients’ emotional adjustment and their engagement in their health and self-management before designing and implementing any intervention.

Keywords

References
  1. Greaney ML, Sprunk-Harrild K, Ruddy KJ, Ligibel J, Barry WT, Baker E, et al. Study Protocol for Young & Strong: A Cluster-Randomized Design to Increase Attention to Unique Issues Faced by Young Women ith Newly Diagnosed Breast Cancer. BMC Public Health. 2015;15(1):1-11. doi: 10.1186/s12889-015-1346-9. PMID: 25636332; PMCID: PMC4328063.
  2. Desantis C, Ma J, Bryan L, Jemal A. Breast Cancer Statistics, 2013. CA: A Cancer Journal for Clinicians. 2014;64(1):52-62. doi: 10.3322/caac.21203. PMID: 24114568.
  3. Lassman D, Hartman M, Washington B, Andrews K, Catlin A. US Health Spending Trends by Age and Gender: Selected Years 2002-10. Health Affairs (Project Hope). 2014;33(5):815-22. doi: 10.1377/hlthaff.2013.1224. PMID: 24799579.
  4. Graffigna G, Barello S, Bonanomi A, Lozza E. Measuring Patient Engagement: Development and Psychometric Properties of the Patient Health Engagement (PHE) Scale. Frontiers in Psychology. 2015;6(274). doi: 10.3389/fpsyg.2015.00274. PMID: 25870566; PMCID: PMC4376060.
  5. Graffigna G, Barello S. Patient Health Engagement (PHE) Model in Enhanced Recovery After Surgery (ERAS): Monitoring Patients' Engagement and Psychological Resilience in Minimally Invasive Thoracic Surgery. J Thorac Dis. 2018;10(4): 517-S28. doi: 10.21037/jtd.2017.12.84. PMID: 29629198; PMCID: PMC5880983.
  6. Menichetti J, Graffigna G. "PHE in Action": Development and Modeling of an Intervention to Improve Patient Engagement Among Older Adults. Front Psychol. 2016; 7:1405. doi: 10.3389/fpsyg.2016.01405. PMID: 27695435; PMCID: PMC5025533.
  7. Graffigna G, Barello S, Bonanomi A, Riva G. Factors Affecting Patients' Online Health Information-Seeking Behaviors: The Role of the Patient Health Engagement (PHE) Model. Patient Education and Counseling. 2017;100 (10):1918-1927. doi: 10.1016/j.pec.2017.05.033. PMID: 28583722.
  8. Greenlee H, Dupont-Reyes M, Balneaves L, Carlson L, Cohen MR, Deng G, et al. Clinical Practice Guidelines On the Evidence-Based Use of Integrative Therapies During and After Breast Cancer Treatment. CA Cancer J Clin. 2017;67(3):194-232. doi: 10.3322/caac.21397. PMID: 28436999; PMCID: PMC5892208.
  9. Barello S, Palamenghi L, Graffigna G. The Mediating Role of the Patient Health Engagement Model On the Relationship Between Patient-Perceived Autonomy-Supportive Healthcare Climate and Health Literacy Skills. International Journal of Environmental Research and Public Health. 2020;17(5):1741. doi: 10.3390/ijerph17051741. PMID: 32155975; PMCID: PMC7084351.
  10. Nejatian, M., Tehrani, H., Momeniyan, V. Jafari A. A modified version of the mental health literacy scale (MHLS) in Iranian people. BMC Psychiatry 2021; 21:53. https://doi.org/10.1186/s12888-021-03050-3
  11. Hibbard JH, Mahoney E. Toward A Theory of Patient and Consumer Activation. Patient Education and Counseling. 2010;78(3):377-81. doi: 10.1016/j.pec.2009.12.015. Epub 2010 Feb 25. PMID: 20188505.
  12. Usta D, Korkmaz F, Imatullah Akyar K, Bonanomi Patient Health Engagement Scale: Validity and Reliability for Turkish Patients with Chronic Diseases. Cukurova Medical Journal. 2019; 44:1055-63. https://doi.org/10.17826/cumj.482420.
  13. Streiner DL. Figuring Out Factors: The Use and Misuse of Factor Analysis. Can J Psychiatry. 1994; 39:135-40. 27. doi:1177/070674379403900303
  14. Tinsley HE, Tinsley DJ. Uses of Factor Analysis in Counseling Psychology Research. J Couns Psychol 1987; 34:414. org/10.1037/0022-0167.34.4.414.
  15. Waltz CF, Bausell RB. Nursing Research: Design, Statistics and Computer Analysis. 2nd Ed. Philadelphia: FA Davis Company; 1983.
  16. Lawshe CH. A Quantitative Approach to Content Validity 1. Personnel Psychol. 1975;28(4):563-75. org/10.1111/j.1744-6570.1975.tb01393.x.
  17. Bonanomi A, Cantaluppi G, Rusconi M N, Osmetti A. A New Estimator of Zumbo’s Ordinal Alpha: A Copula Approach. Qual Quant. 2015;49(3):941-53. doi.org/10.1007/s11135-014-0114-8.
  18. Omranipour R, Fattahi Prevalence of Ductal Carcinoma in Situ of the Breast in Tehran University Medical Centers: Evaluation of 2244 Cases. Tehran University Medical Journal. 2009;67(7):516-21. URL: http://tumj.tums.ac.ir/article-1-440-en.html.
  19. Magallares A, Graffigna G, Barello S, Bonanomi A, Lozza E. Spanish Adaptation of the Patient Health Engagement Scale (S.PHE-S) in Patients with Chronic Diseases. Psicothema. 2017;29(3):408-13. doi: 10.7334/psicothema2017.75. PMID: 28693715.
  20. Zhang Y, Graffigna G, Bonanomi A, Choi Kai-Chow, Barello S, Mao P, et al. Adaptation and Validation of a Chinese Version of Patient Health Engagement Scale for Patients with Chronic Disease. Frontiers in Psychology. 2017; 8:104. doi: 10.3389/fpsyg.2017.00104. PMID: 28220090; PMCID: PMC5292425.
  21. Santra G. Assessment of adherence to cardiovascular medicines in rural population: An observational Study in Patients Attending a Tertiary Care Hospital. Indian Journal of Pharmacology. 2015;47(6):600-4. doi: 10.4103/0253-7613.169573. PMID: 26729949; PMCID: PMC4689011.
  22. Lamiani, G, Barello, S, Browning D, M. Vegni, E, Meyer, E. C. Uncovering and Validating Clinicians' Experiential Knowledge When Facing Difficult Conversations: A Cross-Cultural Perspective. Patient Education and Counseling. 2012;87(3):307-12. doi: 10.1016/j.pec.2011.11.012. Epub 2011 Dec 23. PMID: 22196987.
Journal of Health Sciences & Surveillance System
Volume 11, Issue 2
April 2023
Pages 291-295
Files
Share
How to cite
Statistics