{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:03:07Z","timestamp":1782842587762,"version":"3.54.5"},"reference-count":49,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Diabetes"],"abstract":"\n Background<\/jats:title>\n \u00a0With 425 million individuals globally living with diabetes, it is critical to support the self-management of this life-threatening condition. However, adherence and engagement with existing technologies are inadequate and need further research.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n \u00a0The objective of our study was to develop an integrated belief model that helps identify the significant constructs in predicting intention to use a diabetes self-management device for the detection of hypoglycemia.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \u00a0Adults with type 1 diabetes living in the United States were recruited through Qualtrics to take a web-based questionnaire that assessed their preferences for a device that monitors their tremors and alerts them of the onset of hypoglycemia. As part of this questionnaire, a section focused on eliciting their response to behavioral constructs from the Health Belief Model, Technology Acceptance Model, and others.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \u00a0A total of 212 eligible participants responded to the Qualtrics survey. Intention to use a device for the self-management of diabetes was well predicted (R2=0.65; F12,199=27.19; P<.001) by 4 main constructs. The most significant constructs were perceived usefulness (\u03b2=.33; P<.001) and perceived health threat (\u03b2=.55; P<.001) followed by cues to action (\u03b2=.17; P<.001) and a negative effect from resistance to change (\u03b2=\u2212.19; P<.001). Older age (\u03b2=.025; P<.001) led to an increase in their perceived health threat.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n For individuals to use such a device, they need to perceive it as useful, perceive diabetes as life-threatening, regularly remember to perform actions to manage their condition, and exhibit less resistance to change. The model predicted the intention to use a diabetes self-management device as well, with several constructs found to be significant. This mental modeling approach can be complemented in future work by field-testing with physical prototype devices and assessing their interaction with the device longitudinally.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/41501","type":"journal-article","created":{"date-parts":[[2023,3,10]],"date-time":"2023-03-10T09:17:11Z","timestamp":1678439831000},"page":"e41501","source":"Crossref","is-referenced-by-count":4,"title":["Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based 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