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#Post#: 226--------------------------------------------------
Who is at risk of emergency admission?
By: admini5 Date: May 13, 2015, 7:54 am
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A number of factors are associated with increased rates of
admission, and are therefore important to consider when
targeting interventions to reduce avoidable admissions.
Age
Age is a risk factor for emergency hospital admission, with
babies or very young children and older people being at higher
risk. However, it is important to recognise that only those aged
5 to 14 years have low risk. Figure 1 overleaf shows emergency
admissions for one PCT in England, and illustrates the large
number of admissions occurring in those under 65 years of age.
Social deprivation
There is evidence from the UK, North America and Europe that
people who live in areas of socio-economic deprivation have
higher rates of emergency admissions, after adjusting for other
risk factors. In the UK, admission rates are significantly
correlated with measures of social deprivation (Majeed et al
2000). Socio-demographic variables explain around 45 per cent of
the variation in emergency admissions between GP practices, with
deprivation more strongly linked to emergency than to elective
admission (Reid et al 1999; Duffy et al 2002). Practices serving
the most deprived populations have emergency admission rates
that are around 60–90 per cent higher than those serving the
least deprived populations (Blatchford et al 1999; Purdy et al
2010a).
Deprivation is also a risk factor for admission in Europe.
Socio-economic risk factors for cardiovascular admission were
evaluated in two large Scandinavian studies; both show that
increasing socio-economic status – whether measured by
employment status,
census variables, education, housing tenure or social capital –
is associated with decreased emergency admission rates for
coronary heart disease (Sundquist et al 2007; Tüchsen and Endahl
1999).
Morbidity levels
Higher levels of morbidity in a population are associated with
higher levels of emergency admission. Admission rates are also
correlated with chronic illness (Majeed et al 2000).
Higher levels of recorded morbidity and chronic disease in
patients registered with GP practices have also been shown to be
associated with higher rates of emergency admission from those
practices (Bottle et al 2008; Donald and Ambery 2000).
Area of residence
Those who live in urban areas have higher rates of emergency
hospital admission than those in rural areas; for example, we
found a 16 per cent higher rate of asthma admissions for urban
patients compared with rural patients (Purdy et al 2010a). What
is uncertain
is whether these rates are lower due to better management in the
community or because patients who live further from secondary
care have more difficulty accessing services (O’Donnell 2000).
We also found that those who live closer to A&E departments have
higher rates of admission (for instance, a 12 per cent higher
rate of admission for asthma), even after taking into account
other risk factors, including living in an urban area (Purdy et
al 2010a).
Ethnicity
Data on the impact of ethnicity on risk of emergency admission
are fairly limited. Being from a minority ethnic group is
associated with a higher risk of emergency admission (Bottle et
al 2006). For example, in the UK, asthma admission rates for
South Asian patients have been double those of white patients,
and are also high for black patients (Gilthorpe et al 1998).
Different ways of coping with asthma exacerbations and accessing
care may partly explain the increased risk of hospital admission
among South Asian patients (Griffiths et al 2001).
Environmental factors
The evidence for environmental risk factors is variable across
diseases. For example, air pollution and meteorological factors
in the UK are probably less important in relation to
cardiovascular admissions than they are in respiratory
conditions such as COPD, where cold weather is associated with
increased rates of admission (Maheswaran et al 2005; Moran et al
2000; Marno 2006).
Recommendation:

socio-economic deprivation and other socio-demographic factors
when designing policy around admission rates.
For further information, please visit:
HTML http://www.kingsfund.org.uk/sites/files/kf/Avoiding-Hospital-Admissions-Sarah-Purdy-December2010.pdf
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