Currently, there are no resources to support culturally and linguistically diverse (CALD) women with breast cancer to make decisions about undergoing breast reconstruction (BR). This study evaluated the usability and acceptability of decision aids (DAs) for Vietnamese- and Arabic-speaking women. This two-phase qualitative recruited Vietnamese- (Phase 1) and Arabic-speaking (Phase 2) adult (age ≥ 18 years) women who were diagnosed with breast cancer and could read Vietnamese/Arabic. Women participated in either think-aloud telephone interviews (Phase 1) or semi-structured telephone interviews (Phase 2) and provided feedback on the DA. Interviews were audio-recorded, translated, and transcribed from Vietnamese/Arabic to English, and inductive thematic analysis was undertaken. Additionally, Arabic-speaking women completed the Preparation for Decision Making (PrepDM) scale in Round 2. Twenty-five women were recruited in two phases (Phase 1: Vietnamese-speaking women, n = 14; Phase 2: Arabic-speaking, n = 11). Three themes were developed in Phase 1: (1) DA content and reception; (2) linguistic attributes and cultural appropriateness; and (3) factors that improve the DAs' impact. Three themes were developed in Phase 2: (1) varying perceptions of DA content; (2) linguistic and cultural suitability of information; and (3) impact of DA on decision making. Women from both phases identified areas for improvement: minimising the use of medical terminology, considering the cultural taboos associated with the word 'breast', and addressing remaining information gaps. Both language DAs were generally perceived as acceptable and useful in providing information about BR options and prompting women's reflections about the suitability of BR as part of their treatment. The mean PrepDM score for Arabic-speaking women in Round 2 was 4.8/5 (SD = 0.3). Further work is needed to ensure that culturally adapted DAs take into account the myriad of information needs and health literacy levels. The key role of healthcare professionals in shared decision making among CALD populations should also be considered.
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