2022
DOI: 10.2217/cer-2021-0177
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Factors impacting self-management ability in patients with chronic diseases in the United Arab Emirates, 2019

Abstract: Aim: Poor adherence to chronic disease therapy is a critical global problem that negatively effects the long-term therapy for chronic diseases, resulting in negative population health and economic effects. The WHO multidimensional model proposed a systems-based approach for improving adherence to chronic disease therapy. Patients & methods: In the current study, the WHO five-dimension framework was used to evaluate factors among, chronic-disease patients in the United Arab Emirates. Results: We show that p… Show more

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Cited by 3 publications
(2 citation statements)
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“…Another interesting aspect to consider is the potential impact of patient support provided through the BV Access Program on patients ability to self-management AEs and other aspects of their treatment. We have previously shown that patient's understanding of disease, their involvement in treatment decisions, age, time spent with physician and fear of how patients were perceived by others were the most predictive factors associated with a high ability to self-manage a chronic disease, and that socio-cultural factors have an indirect impact on disease self-management [ 23 ]. In our current study, AEs were the biggest predictor of death or physician decision to stop treatment.…”
Section: Discussionmentioning
confidence: 99%
“…Another interesting aspect to consider is the potential impact of patient support provided through the BV Access Program on patients ability to self-management AEs and other aspects of their treatment. We have previously shown that patient's understanding of disease, their involvement in treatment decisions, age, time spent with physician and fear of how patients were perceived by others were the most predictive factors associated with a high ability to self-manage a chronic disease, and that socio-cultural factors have an indirect impact on disease self-management [ 23 ]. In our current study, AEs were the biggest predictor of death or physician decision to stop treatment.…”
Section: Discussionmentioning
confidence: 99%
“…Participants were purposively selected from the outpatient clinics' list. In the beginning, maximum variation sampling was used along a number of individual characteristics (Gray et al, 2017), such as educational status, age, and time from the diagnosis, as the duration of living with a chronic illness can influence individuals' perspectives (Ladner et al, 2021). During the process, we evolved toward theoretical sampling for emerging concepts.…”
Section: Methodsmentioning
confidence: 99%