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Determinants of satisfactory patient communication and shared decision making in patients with multiple myeloma
Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong.
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2019 (English)In: Psycho-Oncology, ISSN 1057-9249, E-ISSN 1099-1611, Vol. 28, no 7, p. 1490-1497Article in journal (Refereed) Published
Abstract [en]

OBJECTIVE: To identify determinants of shared decision making in patients with multiple myeloma (MM) to facilitate the design of a program to maximize the effects of shared decision making.

METHODS: This prospective longitudinal study recruited 276 adult patients (52% male, mean age 62.86 y, SD 15.45). Each patient completed the eHealth Literacy Scale (eHEALS), Multidimensional Trust in Health Care Systems Scale (MTHCSS), Patient Communication Pattern Scale (PCPS), and 9-Item Shared Decision-Making Questionnaire (SDM-Q-9) at baseline and the SDM-Q-9 again 6 months later. One family member of the patient completed the Family Decision-Making Self-Efficacy (FDMSE) at baseline. Structural equation modeling (SEM) was used to investigate the associations between eHealth literacy (eHEALS), trust in the health care system (MTHCSS), self-efficacy in family decision making (FDMSE), patient communication pattern (PCPS), and shared decision making (SDM-Q-9).

RESULTS: SEM showed satisfactory fit (comparative fit index = 0.988) and significant correlations between the following: eHealth literacy and trust in the health care system (β = 0.723, P < 0.001); eHealth literacy and patient communication pattern (β = 0.242, P < 0.001); trust in the health care system and patient communication pattern (β = 0.397, P < 0.001); self-efficacy in family decision making and patient communication pattern (β = 0.264, P < 0.001); eHealth literacy and shared decision making (β = 0.267, P < 0.001); and patient communication pattern and shared decision making (β = 0.349, P < 0.001).

CONCLUSIONS: Patient communication and eHealth literacy were found to be important determinants of shared decision making. These factors should be taken into consideration when developing strategies to enhance the level of shared decision making.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019. Vol. 28, no 7, p. 1490-1497
Keywords [en]
cancer, multiple myeloma, oncology, patient communication, shared decision making, structural equation modeling
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Cancer and Oncology
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URN: urn:nbn:se:hj:diva-45078DOI: 10.1002/pon.5105ISI: 000474293000016PubMedID: 31087365Scopus ID: 2-s2.0-85066822686Local ID: ;HHJADULTIS,HHJIMPROVEISOAI: oai:DiVA.org:hj-45078DiVA, id: diva2:1330434
Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-08-30Bibliographically approved

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Browall, MariaBroström, AndersPakpour, Amir H.

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