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  • × author_ss:"Boyd, K."
  • × year_i:[2020 TO 2030}
  1. Oesterlund, C.; Jarrahi, M.H.; Willis, M.; Boyd, K.; Wolf, C.T.: Artificial intelligence and the world of work : a co-constitutive relationship (2021) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.128-135
  2. Lindau, S.T.; Makelarski, J.A.; Abramsohn, E.M.; Beiser, D.G.; Boyd, K.; Huang, E.S.; Paradise, K.; Tung, E.L.: Sharing information about health-related resources : observations from a community resource referral intervention trial in a predominantly African American/Black community (2022) 0.00 
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    Abstract
    CommunityRx is a theory-driven, information technology-based intervention, developed with and in a predominantly African American/Black community, that provides patients with personalized information (a "HealtheRx") about self-management and social care resources in their community. We described patient and clinician information sharing after exposure to the intervention during a clinical trial. Survey data from 145 patients (ages 45-74) and 121 clinicians were analyzed. Of patients who shared information at least once (49%), 47% reported sharing =3 times (range 1-14). Patient sharers were in poorer physical health (mean PCS 37.6 vs. 40.8, p = .05) than nonsharers and more likely to report going to a resource on their HealtheRx (79 vs. 41%, p = .05). Most patient sharers provided others a look at or copy of their HealtheRx, keeping the original. Patients used the HealtheRx to promote credibility of the information and communicate that resources were disease-specific and local. Half of clinicians shared HealtheRx resource information with peers; sharers were 3 times more likely than nonsharers to feel they were well-informed about resources to address social needs (55 vs. 18%, p < .01). Information sharing by clinicians and patients is an understudied mechanism that could amplify the effects of a growing class of community resource referral information technologies.

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