1997
DOI: 10.1136/bmj.314.7079.482
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Hospital admissions for asthma in east london: associations with characteristics of local general practices, prescribing, and population

Abstract: Objective: To determine the relative importance of appropriate prescribing for asthma in explaining high rates of hospital admission for asthma among east London general practices. Design: Poisson regression analysis describing relation of each general practice's admission rates for asthma with prescribing for asthma and characteristics of general practitioners, practices, and practice populations. Setting: East London, a deprived inner city area with high admission rates for asthma. Subjects: All 163 general … Show more

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Cited by 58 publications
(39 citation statements)
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“…Alternatively, re-hospitalization may act as a poor marker of severity of illness; non-biological factors such as holidays, insurance status, socioeconomic status, and provider-patient interactions may influence the decision to hospitalize a child. (27)(28)(29)(30)(31)(32)(33)(34) Similarly, there was no significant difference in parental report of "wheezing or whistling in the chest." Although a true lack of drug effect is possible, another explanation is that parents did not accurately identify wheezing.…”
Section: Discussionmentioning
confidence: 89%
“…Alternatively, re-hospitalization may act as a poor marker of severity of illness; non-biological factors such as holidays, insurance status, socioeconomic status, and provider-patient interactions may influence the decision to hospitalize a child. (27)(28)(29)(30)(31)(32)(33)(34) Similarly, there was no significant difference in parental report of "wheezing or whistling in the chest." Although a true lack of drug effect is possible, another explanation is that parents did not accurately identify wheezing.…”
Section: Discussionmentioning
confidence: 89%
“…2) Differences in primary care. Conurbations such as London have higher numbers of single-handed GP practices and small size of practice partnership is associated with higher hospital admission rates, independent of socioeconomical characteristics [28]. 3) Higher deprivation in urban areas associated with higher admission rates [21].…”
Section: Interpretation Of Poor Correlations Between Data Sourcesmentioning
confidence: 99%
“…In the United States, the frequency of potentially preventable hospitalizations has been negatively correlated with income and having health insurance. [2][3][4][5][6] In the United Kingdom, this correlation is less strong, 7,8 and in Canada, where public health insurance coverage for physician fees and hospital expenses is available to all residents, the relationship is not found. 9 Geography has also been associated with avoidable admissions.…”
mentioning
confidence: 99%