Patients’ perception of asthma severity

Lurie, A.; Marsala, Christophe; Hartley, Sarah; Bouchon‐Meunier, Bernadette; Dusser, Daniel

doi:10.1016/j.rmed.2007.05.027

Cited by 35 publications

(26 citation statements)

References 44 publications

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“…Our data suggest that people find it difficult to express asthma severity and control to their healthcare teams, and indeed it is known that patients often underestimate their asthma severity [22,23]. Such discrepancies between perception and objective asthma severity could have drastic consequences in the management of the disease.…”

Section: Discussionmentioning

confidence: 83%

Perspectives of patients and healthcare professionals on mHealth for asthma self-management

et al. 2017

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Take home messagePeople with asthma and healthcare professionals provide strong support for mHealth for asthma self-management. 2 ABSTRACTRationale: mHealth has the potential to revolutionise the self-management of long-term medical conditions such as asthma. A user-centred design is integral if mHealth is to be embraced by patients and healthcare professionals. Objective: Determine the perspectives of individuals with asthma and healthcare professionals on the use of mHealth for asthma selfmanagement. Methods: A sequential exploratory mixed methods design was used; focus groups informed the development of questionnaires, which were disseminated to individuals with asthma and healthcare professionals. Results: Focus group participants (18 asthma patients and five healthcare professionals) identified 12 potential uses of mHealth.Questionnaire results showed that individuals with asthma (n=186) most frequently requested a mHealth system to monitor asthma over time (72%) and to collect data to present to healthcare teams (70%). In contrast, a system alerting patients to deteriorating asthma control (86%) and advising them when to seek medical attention (87%) was most frequently selected by healthcare professionals (n=63). Individuals with asthma were less likely than healthcare professionals (P<0.001) to believe that assessing medication adherence and inhaler technique could improve asthma control. Conclusion: Our data provide strong support for mHealth for asthma self-management, but highlight fundamental differences between the perspectives of patients and healthcare professionals.3

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Section: Discussionmentioning

confidence: 83%

Perspectives of patients and healthcare professionals on mHealth for asthma self-management

et al. 2017

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“…It was shown that patient perceived asthma severity is substantially different from doctor rated asthma severity, with lower levels of asthma severity reported by patients, although a different scale of asthma severity was used in that study [36]. Meanwhile, it was reported that underestimating asthma severity can result in inadequate management of the disease and more frequent morbidity [37][38][39], which can potentially explain our findings that women with the same level of asthma control but with higher perceived diseases severity had a higher asthma-specific quality of life.…”

Section: Discussionmentioning

confidence: 87%

Asthma quality of life in Saudi Arabia: Gender differences

et al. 2016

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“…Usually, it is related to the use of fuzzy rules as a representation of the model, for instance fuzzy decision trees [27] or fuzzy association rules [28]. For instance, in the Medical domain, the proposal of a fuzzy representation for numerical variables representing patients can greatly increase the understandability of the links between the description of patients and their classes [29,30].…”

Section: Interpretability Of the Modelmentioning

confidence: 99%

Fuzzy data mining and management of interpretable and subjective information

Marsala

Bouchon‐Meunier

2015

Fuzzy Sets and Systems

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Fuzzy set theory offers an important contribution to data mining leading to fuzzy data mining. It enables the management of interpretable and subjective information in both input and output of the data mining process. In this paper, we discuss the notion of interpretability in fuzzy data mining and we present some references on the management of emotions as a particular kind of subjective information.

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Patients’ perception of asthma severity

Cited by 35 publications

References 44 publications

Perspectives of patients and healthcare professionals on mHealth for asthma self-management

Perspectives of patients and healthcare professionals on mHealth for asthma self-management

Asthma quality of life in Saudi Arabia: Gender differences

Fuzzy data mining and management of interpretable and subjective information

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