2020
DOI: 10.1136/bmjopen-2020-038356
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Demographic and socioeconomic patterns in healthcare-seeking behaviour for respiratory symptoms in England: a comparison with non-respiratory symptoms and between three healthcare services

Abstract: ObjectiveThis study will analyse respiratory contacts to three healthcare services that capture more of the community disease burden than acute data sources, such as hospitalisations. The objective is to explore associations between contacts to these services and the patient’s age, gender and deprivation. Results will be compared between healthcare services, and with non-respiratory contacts to explore how contacts differ by service and illness. It is crucial to investigate the sociodemographic patterns in hea… Show more

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Cited by 12 publications
(8 citation statements)
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“…Furthermore, DAVIDSEN et al [21] highlight higher persistence of ICS use in females, potentially explaining the increased odds of excessive SABA use associated with male sex. Our findings are in line with previous studies [20]; however, confounders such as differences in healthcare-seeking behaviour for respiratory symptoms between sexes [22] cannot be excluded, as female sex was a risk factor for exacerbations in the present study.…”
Section: Discussionsupporting
confidence: 93%
“…Furthermore, DAVIDSEN et al [21] highlight higher persistence of ICS use in females, potentially explaining the increased odds of excessive SABA use associated with male sex. Our findings are in line with previous studies [20]; however, confounders such as differences in healthcare-seeking behaviour for respiratory symptoms between sexes [22] cannot be excluded, as female sex was a risk factor for exacerbations in the present study.…”
Section: Discussionsupporting
confidence: 93%
“…The four complicated cases managed over a three-year period in our facility, located in an urban centre, all belonged to the Ogunlesi socioeconomic classes IV and V, which are the lower socioeconomic class (20). Low socioeconomic factors have been identified by several authors as an adverse predictor of health and disease outcome (21)(22)(23). It is not surprising that this is a major factor considering the rising level of poverty and cost of living in Nigeria, (24,25) even though there seem to be increasing number of health facilities.…”
Section: Discussionmentioning
confidence: 99%
“…The very high values of aRR for older ages (≥ 60 years) in comparison with other risk factors can be explained by the very low case fatality observed in the reference age group 0–49 years irrespective of comorbidities, which are less frequent in this group. There is potentially a higher under-estimation in men, as with other diseases where health-seeking behaviour differs, namely for respiratory symptoms [ 16 ]. This, in turn, might have led to an overestimation of the risk.…”
Section: Discussionmentioning
confidence: 99%