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Sonia Saxena a Department of General Practice and Primary Care,
St George's Hospital Medical School, London SW17 0RE, b Office for National
Statistics, London SW1V 2QQ, c Cancer and Public Health Unit, London School of
Hygiene and Tropical Medicine, London WC1E 7HT
Correspondence
to: Dr Majeed azeem.majeed{at}ons.gov.uk
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Abstract |
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Objective:
To establish how consultation rates in
children for episodes of illness, preventive activities, and home
visits vary by social class.
Design:
Analysis of prospectively collected data from the fourth national survey of morbidity in general practice, carried out between September 1991 and August 1992.
Setting:
60 general practices in England and Wales.
Subjects:
106 102 children aged 0 to 15 years
registered with the participating practices.
Main outcome measures:
Mean overall consultation rates
for any reason, illness by severity of underlying disease, preventive
episodes, home visits, and specific diagnostic category (infections,
asthma, and injuries).
Results:
Overall consultation rates increased from registrar general's social classes I-II to classes IV-V in a linear pattern (for IV-V v I-II rate ratio 1.18; 95%
confidence interval 1.14 to 1.22). Children from social classes IV-V
consulted more frequently than children from classes I-II for illnesses
(rate ratio 1.23; 1.15 to 1.30), including infections, asthma, and
injuries and poisonings. They also had significantly higher
consultation rates for minor, moderate, and serious illnesses and
higher home visiting rates (rate ratio 2.00; 1.81 to 2.18).
Consultations for preventive activities were lower in children from
social classes IV-V than in children from social classes I-II (rate
ratio 0.95; 0.86 to 1.05).
Conclusions:
Childhood consultation rates for episodes of illness increase from social classes I-II through to classes IV-V.
The findings on severity of underlying illness suggest the health of
children from lower social classes is worse than that of children from
higher social classes. These results reinforce the need to identify and
target children for preventive health care in their socioeconomic context.
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Key messages
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Introduction |
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More than a quarter of the workload of general practitioners arises from consultations with children, and about 90% of children are taken to see their general practitioner every year. 1 2 Factors which predict consulting behaviour in children include previous experience of child care by the parents, the extent of illness, the age of the child, having an unemployed father, material deprivation, living in rented accommodation, and attendance at nurseries.3-5 Previous studies, however, have usually relied on parental recall of consultations with general practitioners by using cross sectional or retrospective data on selected populations. Moreover, although many of these factors are related to individual socioeconomic circumstances, little is known about how overall socioeconomic differences affect childhood illness and consultations with general practitioners. The few studies that have examined childhood illnesses specific for social class have often had contradictory results. For example, some studies have found that children from social classes I and II have a higher prevalence of asthma, whereas other studies have found that the prevalence of severe asthma was highest among children from lower socioeconomic groups. 6 7
Social class differences in morbidity and in the use of health services remain important. There are large differences in mortality and morbidity between social classes for the major causes of illness.8-10 Lifestyle patterns which affect health, such as smoking and material circumstances, also vary according to socioeconomic status.11 Deprived areas with high morbidity often receive poorer healthcare services, and users of preventive services are often those least in need of such care. 12 13 Furthermore, relative social class differences in health have widened in recent years.14
The fourth national survey of morbidity in general practice reported
some preliminary findings on socioeconomic differences in consultation
rates.1 We used data from the survey to examine further
the association between childhood consultations in general practice and
socioeconomic status in children aged 0 to 15 years registered with 60 general practices in England and Wales.
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Methods |
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The fourth national survey of morbidity in general practice was conducted between September 1991 and August 1992.1 The main objective of the study was to examine the patterns of disease seen by general practitioners by the age, sex, and socioeconomic status of the patients.
Practices in study
Sixty volunteer general practices took part in the survey.
The practices had a special interest in the collection of morbidity
data and were not typical of all practices in England and Wales. For
example, they were more likely to record clinical information on
practice computers (100% v 34%) and had a larger mean
list size (7700 v 5200).
Patients in study
The study population comprised a 1% sample of the
population of England and Wales. The sample was representative of the
population for age, sex, social class, and housing tenure, but there
was under-representation of ethnic minority groups because relatively
few inner city practices participated in the survey.
Recording and validation of morbidity data
Before the survey started doctors and staff from each
practice attended three 2 day training sessions on the recording of
morbidity data. Practices then collected data for 2 to 4 weeks before
the start of the survey. These data were analysed and any errors or
inconsistencies reported to the practices. Once the morbidity survey
started general practitioners and nurses recorded information on all
face to face contacts with patients. Each reason for consulting and the
place of contact was directly entered into patient records on the
practice computer and defined as one consultation. Every consultation
was given a diagnostic Read code and the data then transferred on disk
to the Office of Population Censuses and Surveys where an international
classification of diseases, ninth revision (ICD-9) code was assigned.
The underlying disease for each episode of illness was in turn mapped
to a category of severity: serious (for example, diabetes),
intermediate (for example, iron deficiency anaemia), or minor (for
example, upper respiratory tract infections) (see box). The categories
were predefined and independent of doctors' opinions of the clinical
condition of the patient at the time of
presentation.
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Assignment of category of severity
Serious
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Socioeconomic data
Socioeconomic data for all patients registered were
collected by interviewers during the year of the study. Occupation of
the parent or guardian of the child was recorded and converted to
social class with the registrar general's classification (class I the
highest and class V the lowest). Other socioeconomic data collected
included housing tenure, ethnicity, whether the child was living with a
sole adult, and economic position last week of the head of the
household. Data for children under 16 years of age were usually
provided by a parent or close relative. The response given at interview
was assumed to apply for the entire year. Age was grouped as 0 to 4, 5 to 9, and 10 to 15 years. Because of the relatively small number of
children in classes I and V, social class was grouped as I-II, III
non-manual, III manual, and IV-V.
Statistical methods
The consultation and socioeconomic data supplied by the
practices for each child in the survey were linked to produce a record
for each child. Consultations in subgroups of social class were
examined by tabulating the mean rates of consultation. To overcome
clustering dependencies at the individual level a mean consultation
rate for each child was calculated and each of these summed over the
number of children in each social class category to produce a person
based mean consultation rate with 95% confidence
interval.15 All rates were corrected to take into account
the fact that not all the children were followed up for the entire year
of the study. Because adjustment for age and sex did not make any
significant difference to social class differences, unadjusted rates
are presented throughout. Rate ratios were calculated as the ratio of
mean rates; confidence intervals were estimated with the
method.16 The outcomes were consultation rates for any
reason, illness (ICD-9 chapters 1 to 17), infections (ICD-9 chapter 1),
asthma (ICD-9 493), accidents and poisonings (ICD-9 chapter 17), home
visits, and prevention (immunisation, screening, surveillance, or
antenatal care). Linear trends across categories of social class were
compared by constructing a linear regression model. For this last
comparison those children whose social class was not known were
excluded from the analysis. The trends are presented as
coefficients of the line of best fit, which shows the rate of change in
unadjusted mean consultation rate across each social class category.
For ease of interpretation these changes were expressed as percentage
change from the mean rate across each category.
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Results |
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Baseline characteristics
A third of the 106 102 children were from social classes
I-II, 10% from III non-manual, 27% from III manual, and 17% from
IV-V (table 1). When we compared our figures with the results of the
1991 census a greater proportion of households had parents or guardians
in full time employment (67% v 45%), and there was
some under-representation of non-white ethnic groups. Other
characteristics were similar to those found in the 1991 census.
Consultation rates
There were 324 064 consultations, and the corrected mean annual
consultation rate was 3.7 consultations per child per year (95%
confidence interval 3.64 to 3.75; table 1). Of these consultations,
87% were for illness episodes, 11% for preventive episodes, and 2%
for other reasons. Of the episodes of illness, the underlying disease
was classed as of minor severity in 50%, moderate in 43%, and serious
in 7%. Infectious diseases and respiratory episodes made up over 40%
of the diagnoses.
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Differences in consulting rates across social class
Overall consulting rates were 18% higher in children from
social classes IV-V than in children from social classes I-II (table
1). A larger increase of 23% was seen for consultations for episodes
of illness (table 2). Home visiting rates doubled from social classes
I-II to IV-V. There was a small decrease in consultation rates for
preventive episodes from social class I-II through to IV-V, but this
was not significant (table 2).
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Discussion |
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Overall consultation rates in children increased linearly from social classes I-II to classes IV-V. Children from social classes IV-V were more likely to consult their general practitioner for an episode of illness, including for disorders such as infections, asthma, and injuries and poisonings. While these children have higher consulting rates for minor illness they also seem to have poorer health, with higher consultation rates also for intermediate and serious categories of illness. The one exception to this pattern was for preventive care, where children from social class IV-V consulted less frequently when compared with children from social classes I-II.
Comparison with other studies
The findings reported in our paper contradict those from
another recently published study. In an analysis of data from the
general household survey, Cooper et al found no evidence of
socioeconomic differences in childhood consultation rates.17 Their sample, however, was substantially smaller
than our own (20 473 v 106 102) and covered a wider
age range (0-19 years v 0-15 years). Furthermore, the
consultation rates were based on parental recall of consultations
during a 2 week period, whereas our own study used validated data that
were prospectively collected over 1 year. Hence, the findings of our
study are likely to be a more accurate reflection of the association
between childhood consultation rates and social class. Cooper et al
did, however, find a higher consultation rates in children classed as
south Asian, and this is consistent with the findings of our own study.
Generalisibility of findings
The general application of our findings is potentially
limited because the practices taking part in the survey were
volunteers. This resulted in fewer practices from inner city areas and
hence lower rates of unemployment and ethnicity among the patients in
the study. The ecological fallacy, however, was avoided as social class
was recorded at the individual level. The data were also collected
prospectively, and validation studies suggested that there was good
recording. The study sample was also reasonably similar to the
population of England and Wales for most socioeconomic characteristics.
Hence, it seems unlikely that biases could account for the large
differences seen in consultation rates between children from different
social classes. Because of the well known association between social
class and ill health the differences in consultation rates are unlikely
to be entirely due to inappropriate use of general practitioner
services by children from social classes IV and V. This conclusion is
supported by the findings on consultation rates by severity of
underlying illness. The higher consultation rates for illnesses of
serious and moderate severity suggest that morbidity levels in children
in this study were higher in children from social classes IV-V than
from social classes I-II.
Conclusions
This study has highlighted the importance of the
socioeconomic background of children when the use of primary care
services is examined. Our findings have implications for targeting
children for preventive practices such as immunisation and the
prevention of injury and poisoning.14 Members of the primary healthcare team and planners of health services need to be
aware of the impact of socioeconomic circumstances on morbidity when
planning health services.
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Acknowledgments |
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We thank Rosie McNiece for her help and Karen Dunnell and Sean Hilton for their comments.
Contributors: SS, AM, and MJ planned the analysis of data from the morbidity survey. SS analysed the data with help from MJ. SS and AM wrote the paper and received comments from MJ. SS and AM are the guarantors for the paper.
Funding: SS is funded by Research and Development Directorate of the South Thames Regional Office of the NHS Executive. The fourth national study of morbidity in general practice was funded by the Department of Health and carried out under the supervision of a project board with representatives from the Department of Health, the Royal College of General Practitioners, and the Office of Population Censuses and Surveys (now the Office for National Statistics).
Competing interests: None declared.
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References |
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(Accepted 18 December 1998)
UK medical students have published unreleased government plans to restrict failed asylum seekers' access to medical care