Understanding patient views and acceptability of predictive software in osteoporosis identification

Abstract

Introduction: Research into patient and public views on predictive software and its use in healthcare is relatively new. This study aimed to understand older adults' acceptability of an opportunistic bone density assessment for osteoporosis diagnosis (IBEX BH), views on its integration into healthcare, and views on predictive software and AI in healthcare. Methods: Focus groups were conducted with participants aged over 50 years, based in South West England. Data were analysed using thematic analysis. Analysis was informed by the theoretical framework of acceptability. Results: Two focus groups were undertaken with a total of 14 participants. Overall, the participants were generally positive about the IBEX BH software, and predictive software's in general stating ‘it sounds like a brilliant idea’. Although participants did not understand the intricacies of the software, they did not feel they needed to. Concerns about IBEX BH focussed more on the clinical indications of the software (e.g. more scans or medications), with participants expressing less trust in results if they indicated medication. Questions were also raised about how and who would receive the results of this software. Individual choice was evident in these discussions, however most indicated the preferences for spoken communication ‘But I would expect that these results would be given by a human to another human.’ Conclusions: Focus group participants were generally accepting of the use of predictive software in healthcare. Implications for practice: Thought and care needs to be taken when integrating predictive software into practice. Focusses on empowering patients, providing information on processes and results are key