Primary Care Access, Emergency Department Visits, and ... · according to patients’ reported...
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ARTICLEPEDIATRICS Volume 137 , number 2 , February 2016 :e 20151492
Primary Care Access, Emergency Department Visits, and Unplanned Short Hospitalizations in the UKElizabeth Cecil, MSc,a Alex Bottle, PhD,a Thomas E. Cowling, MPH,a Azeem Majeed, MD,a Ingrid Wolfe, MD,b Sonia Saxena, MDa
abstractBACKGROUND AND OBJECTIVE: Demand for unplanned hospital services is rising, and children are
frequent users, especially where access to primary care is poor. In England, universal health
care coverage entitles parents to see a general practitioner (GP) for first-contact care.
However, access to GP appointments is variable, and few patients can see their own regular
GP out of hours (OOH). The goal of this study explored the association between access to
GPs , emergency department (ED) visits and short hospitalizations (<2 days) in children in
England.
METHODS: ED visit and short hospitalization rates were investigated in 9.5 million children
aged <15 years registered with English family practices between April 2011 and March
2012 by using administrative hospital data. Six access categories ranked all practices
according to patients’ reported ability to schedule GP appointments; from national GP
Patient Survey data. GP consulting hours were 8:00 AM to 6:30 PM on weekdays.
RESULTS: There were 3 074 616 ED visits (56% OOH) and 470 752 short hospitalizations over
the 12 months studied. Children registered with practices in the highest access group
compared with the lowest were 9% less likely to visit an ED (adjusted rate ratio: 0.91 [95%
confidence interval: 0.89–93]), particularly OOH compared with consulting hours (10% vs
7%). Children in the highest access groups were equally likely to be admitted for a short
stay.
CONCLUSIONS: Increasing GP accessibility might alleviate the burden of ED visits from children,
particularly during peak times OOH. Short hospitalizations may be more sensitive to other
aspects of health systems.
aDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom; and bDepartment of Primary Care and Public Health Sciences, King’s College London, London, United Kingdom
Ms Cecil contributed to the conception and design of the study, conducted the analysis,
participated in interpreting the data, drafted the initial manuscript, and wrote the fi nal
manuscript as submitted; Dr Bottle contributed to the conception and design of the study,
provided statistical advice, participated in interpreting the data, and helped to revise drafts of
the manuscript; Dr Saxena and Mr Cowling contributed to the conception and design of the study,
participated in interpreting the data, and helped revise drafts of the manuscript; and Drs Majeed
and Wolfe participated in interpreting the data and helped to revise drafts of the manuscript. All
authors approved the fi nal manuscript as submitted and agree to be accountable for all aspects
of the work.
DOI: 10.1542/peds.2015-1492
Accepted for publication Nov 18, 2015
Address correspondence to Elizabeth Cecil, MSc, Department of Primary Care and Public Health,
Imperial College London Charing Cross Campus, W6 8RP, UK. E-mail: [email protected]
To cite: Cecil E, Bottle A, Cowling TE, et al. Primary Care Access, Emergency
Department Visits, and Unplanned Short Hospitalizations in the UK. Pediatrics.
2016;137(2):e20151492
WHAT’S KNOWN ON THIS SUBJECT: Rising use of
unplanned hospital services is becoming fi nancially
unsustainable, and health planners are searching
for solutions to alleviate the strain on emergency
departments (EDs). Children’s use of unplanned
services may be a marker of poor access to primary
care.
WHAT THIS STUDY ADDS: Children registered with
more accessible family practices are less likely to visit
EDs but no more likely to have a short hospitalization.
Increasing access might reduce children’s ED visits,
particularly during peak times. Reducing short
hospitalizations may require additional interventions.
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CECIL et al
Internationally, health systems are
challenged by increasing demand
and diminishing funds,1,2 while the
epidemiologic transition in children
toward long-term conditions makes
the need to strengthen health
systems increasingly urgent.3 The
United Kingdom has a publicly
funded and universally accessible
National Health Service (NHS),
whereby 98% of children are
registered with a primary care
physician or general practitioner
(GP) whom they consult as first
contact for health care needs.4
Access to primary care is crucial for
containing the use of emergency
departments (ED) and unplanned
hospitalization5,6; many countries
look to the NHS as an exemplar of
equitable and cost-effective primary
care. However, nearly one-half of
the NHS budget is spent on acute
and emergency care,7 and spending
is becoming unsustainable. Up to
40% of ED visits are believed to
be “inappropriate” and potentially
treatable in primary care,8 most
commonly among very young
children.9
Two-thirds of all unplanned
hospitalizations in children are for a
short stay (<2 days) for mostly minor
conditions, which, it has been argued,
may be more appropriately managed
in the community.10 Certainly,
short hospitalizations for chronic
conditions have been positively
associated with withdrawal of
primary care.11 Ambulatory care–
sensitive (ACS) conditions are
defined as conditions for which
hospitalization can be avoided by
responsive and preventive primary
care. Studies of ACS hospitalizations
in children have used pediatric
quality indicators12,13 developed
in the United States and the United
Kingdom such as those of the
Agency for Healthcare Research and
Quality (AHRQ).14 These indicators
relate to limited specific conditions
(eg, urinary tract infection,
gastroenteritis, asthma, diabetes)
accounting for <10% of highly
frequent causes of hospitalization
among children.11 In addition, in the
United Kingdom, pediatric diabetes is
managed by specialist physicians and
not by GPs. Hence, this smaller subset
of conditions may underestimate the
magnitude to which primary care
accessibility could have an impact
on health system pressures. The
use of broader composite measures
overcomes these limitations and
reduces the risks of coding bias of
specific conditions.
The goal of the present study was to
investigate the association between
GP access and use of unplanned
hospital service. We hypothesized
that children registered with
practices whose patients report
better access (according to the GP
Patient Survey [GPPS]) had fewer ED
visits, fewer short hospitalizations
for chronic conditions, and fewer
hospitalizations for ACS conditions.
METHODS
This cross-sectional, population-
based study was conducted in
children aged <15 years and
registered with family practices in
England between April 1, 2011, and
March 31, 2012.
Outcome Measures
The administrative health data set
Hospital Episode Statistics (HES) was
used, which contains records of ED
visits and inpatient hospitalizations
to all NHS hospitals in England.15
Our primary outcomes were
adjusted rates for ED visits, short
hospitalizations, and AHRQ-defined
ACS hospitalizations. We calculated
rates as the number of events
divided by the registered population
of children in each practice and
expressed as rates per 1000 children.
Practice populations were provided
by The NHS Health and Social Care
Information Centre.16 A total of
95 practices (1%) in which the
total practice population was <500
were excluded because these were
likely to include atypical practice
populations.17
Data were extracted related to ED
2011–2012 visits from the HES
accident and emergency (A&E)
data set. Four types of A&E services
are included in these data: (1) a
consultant-led 24-hour service
with full resuscitation facilities; (2)
single specialty service; (3) other
A&E service; and (4) NHS walk-in
center.18 The type of A&E service
was unknown for 3.5% of visits.
We included all visits to EDs, type
1 as well as type 3, because these
include urgent care centers that are
commonly co-located within English
EDs.19 An ED visit on weekends or
public holidays was defined as being
out of hours (OOH) or when arrival
time was between 6:30 PM and 8:00
AM on weekdays (Fig 1).
Using HES inpatient data, short
hospitalizations were defined as
a length of stay <2 days (0 or 1
day) and no readmission within
28 days (the latter may reflect
failure of hospital care).10,20
Within short hospitalizations, 3
broad diagnosis categories were
identified: infectious illness,
chronic conditions, and injury.11
Short hospitalizations for chronic
conditions are positively associated
with primary care withdrawal,
whereas short hospitalizations for
injury are not considered ACS. Total
unplanned hospitalization rates were
investigated for 4 previously defined
ACS conditions in children14,21:
asthma, diabetes, gastroenteritis (by
using the broader classification of
“intestinal infection”), and urinary
tract infection.
We have reported a complete list
of codes and algorithms for the
outcomes short hospitalizations
and ACS conditions (Supplemental
Data) in accordance with the
Reporting of Studies Conducted using
Observational Routinely-Collected
Health Data statement.22 Long
hospitalizations (ie, those lasting ≥2
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PEDIATRICS Volume 137 , number 2 , February 2016
days) were considered as “moderate”
or “serious” conditions.
Measure of Primary Care Access
The measure of primary care access
was derived from the 2011–2012
GPPS, an annual national survey that
assesses patients’ experiences of
the access and quality of care they
receive from their GP.23 The GPPS
is well established, covering all UK
practices,24 and GPPS-derived access
measures have been found to be
reliable.25 Practices were classified
into 6 groups of access according
to the proportion of patients who
reported they were “able to get an
appointment to see or speak to a
GP or nurse on their last attempt.”
Patients were instructed to answer
the question only if such an attempt
had been made. The lowest access
group was <75% access; groups
thereafter increased by 5% up to
95% to 100%.
Control Variables
We controlled for practice
deprivation and urban/rural
profile. English Indices of Multiple
Deprivation scores were grouped
according to quintiles.26 Data on
urban/rural profile were supplied
by The NHS Health and Social Care
Information Centre. Because elderly
patients typically have greater health
care needs (potentially increasing GP
workload and reducing appointment
availability), we adjusted for
the percentage of the registered
population who were aged ≥65 years.
Less than 0.1% of data were missing
control variables.
Statistical Methods
A negative binomial regression
model was applied, accounting
for overdispersion of the outcome
variables, to explore the association
between practice-level, patient-
reported access and ED visit/
hospitalization rates. We adjusted for
the confounders described earlier. An
association with a P value <.01 was
regarded as statistically significant
and compared with a full model to
check for bias in the coefficients. The
analysis was also stratified according
to whether an ED visit occurred OOH.
The access variable was included as
a continuous variable, its coefficient
representing the log rate ratio (RR)
of a 5% increase in access. From
the coefficient, the RR between the
highest and lowest access group
were calculated by multiplying the
coefficient by 5 and exponentiating
the result.
Assuming a causal association
between GP access and visits in
children, the number of visits was
estimated that could potentially be
avoided if access in the 3 lowest
groups was improved to a minimum
threshold of 85% as:
No. Visits (<75% access) ×
(RR(<75%vs85-90% access)−1) + No.
Visits(75-80% access) × (RR(75-80%vs85-90%
access)−1) + No. Visits (80-85% access) ×
(RR(80-85%vs85-90% access)−1)
Stata SE version 11 (Stata Corp,
College Station, TX) was used for the
data analysis.
RESULTS
From April 1, 2011, to March 31,
2012, there were 3 074 616 ED
visits and 616 229 unplanned
hospitalizations among 9 456 859
children aged <15 years registered
with 8035 English practices. A
3
FIGURE 1Flowchart outlining derivation of outcomes from hospital statistics data. ID, identifi er.
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total of 1 722 899 ED visits (57%)
were OOH, and 470 752 unplanned
hospitalizations (76%) were for a
short stay (Fig 1).
Family Practice Characteristics
Patient-reported access was high
(median: 88% [interquartile range
(IQR): 83%–92%]). Practices in
the highest access group were
more likely to be in affluent areas;
34% (285 of 829) were in the least
deprived group, whereas only
7.7% (64 of 829) were in the most
deprived group (P < .001) (Table
1). Practices in the highest access
group were less likely to be in urban
areas (64.8% [537 of 829] vs 98.8%
[409 of 414] in the lowest access
group). Practices in the highest
access group had a lower proportion
of registered children (median:
16.0% vs 21.2%, respectively) and a
greater proportion of elderly patients
(median: 18.8% vs 8.8%) compared
with those in the lowest access group.
ED Visit Rates
ED visits were more frequent in
younger children. One in 3 children
aged <5 years visited an ED at least
once in 2011–2012 (959 502 of
3 304 990), whereas the proportion
of children aged 5 to 14 years who
visited an ED was 17% (1 043 252
of 6 153 009). Rates of ED visits on
weekdays ranged from a low point of
5 children per million at 5:00 AM to a
peak of 84 children at 6:00 PM. There
was no 6:00 PM peak at weekends.
Practices in the highest access group
had a lower proportion of visits
OOH (median: 55.4% [IQR: 51.4%–
58.9%]) compared with 59.4% (IQR:
55.8%–63.5%) in practices with the
lowest access group (Table 1).
The median practice ED visit rate
was 323 visits per 1000 children
(IQR: 251–403) (Table 1). Children
registered with practices in the
highest access group had a 29%
lower crude rate of ED visits
compared with children registered
with practices in the lowest access
group (RR: 0.71 [95% confidence
interval (CI): 0.89–0.93]) (Table 2).
Younger children, boys, and those
living in a deprived or urban area
were all more likely to visit EDs.
Children registered with practices
in the highest access group had a
9% lower adjusted rate of ED visits
compared with the lowest group
4
TABLE 1 Practice-Level ED Visit Rates, Hospitalization Rates, and Demographic Characteristics According to Patient-Reported GP Access
Variable Patient-Reported Access
<75% (n = 414) 75% to 80% (n =
662)
80% to 85% (n =
1341)
85% to 90% (n =
2352)
90% to 95% (n =
2437)
95% to 100% (n =
829)
Crude ED visit rates 383 (317–460) 373 (296–444) 350 (277–428) 327 (257–405) 297 (234–376) 277 (218–346)
Crude unplanned
hospitalization rates
Total 67.0 (48.1–88.0) 62.4 (47.5–82.6) 62.7 (46.6–84.7) 61.8 (46.3–80.7) 60.9 (46.1–78.2) 55.5 (42.7–74.3)
Short stay 48.9 (32.9–67.7) 45.7 (31.8–63.6) 47.3 (31.1–66.9) 47.0 (30.9–64.7) 47.1 (32.5–62.7) 42.6 (30.6–57.8)
Long stay 14.0 (10.1–18.9) 13.8 (10.5–17.8) 13.9 (10.6–17.7) 12.9 (9.7–16.7) 12.3 (9.2–15.9) 11.4 (8.0–15.2)
Crude short hospitalization
rates
Chronic condition 19.6 (14.3–25.8) 18.2 (13.1–23.9) 17.7 (12.8–24.3) 17.2 (12.1–22.7) 16.3 (11.7–22.0) 15.1 (10.4–20.4)
Infectious disease 31.6 (20.1–42.9) 27.9 (19.6–39.5) 28.6 (19.5–41.0) 27.7 (19.2–39.0) 27.7 (19.0–37.9) 25.1 (17.0–35.3)
Injury 9.1 (6.7–12.8) 9.3 (6.5–12.2) 9.7 (7.0–12.8) 9.7 (7.1–12.8) 9.6 (7.0–12.5) 9.3 (6.8–13.0)
Crude ACS condition
hospitalization rates
Diabetes 0.0 (0.0–0.7) 0.0 (0.0–0.8) 0.0 (0.0–0.7) 0.0 (0.0–0.7) 0.0 (0.0–0.7) 0.0 (0.0–0.6)
Asthma 2.4 (0.9–4.4) 2.0 (0.8–3.6) 1.8 (0.7–3.2) 1.5 (0.5–2.9) 1.3 (0.0–2.6) 0.9 (0.0–2.3)
Urinary tract infection 0.8 (0.0–1.8) 0.8 (0.0–1.6) 0.8 (0.0–1.7) 0.8 (0.0–1.6) 0.7 (0.0–1.6) 0.0 (0.0–1.5)
Intestinal infection 2.2 (0.8–3.9) 2.0 (0.8–4.0) 2.0 (0.8–3.9) 2.0 (0.7–3.7) 2.0 (0.7–3.6) 1.7 (0.0–3.5)
% ED visits OOH 59.4 (55.8–63.5) 58.2 (54.5–61.9) 57.1 (53.5–60.9) 56.3 (52.6–60.2) 55.6 (51.8–59.4) 55.4 (51.4–58.9)
% GP population aged <15 y 21.2 (17.7–25.7) 18.5 (16.1–22.0) 17.9 (15.9–20.3) 17.0 (15.2–19.1) 16.4 (14.8–18.1) 16.0 (14.2–17.8)
% GP population aged
≥65 ye
8.8 (6.0–12.4) 11.8 (8.3–15.8) 14.0 (10.1–17.4) 15.9 (12.3–19.1) 17.6 (14.3–20.9) 18.8 (15.7–22.4)
Deprivation, n (%)a
1 (least deprived) 8 (1.9) 29 (4.4) 143 (10.7) 473 (20.1) 664 (27.3) 285 (34.4)
2 14 (3.4) 76 (11.5) 183 (13.7) 486 (20.7) 618 (25.4) 239 (28.8)
3 65 (15.7) 131 (19.8) 289 (21.6) 490 (20.9) 502 (20.6) 133 (16.0)
4 92 (22.2) 173 (26.2) 355 (26.5) 495 (21.1) 372 (15.3) 108 (13.0)
5 (most deprived) 235 (56.8) 252 (38.1) 368 (27.5) 405 (17.2) 279 (11.5) 64 (7.7)
Urban 409 (98.8) 636 (96.1) 1251 (93.3) 2075 (88.2) 1889 (77.5) 537 (64.8)
Data are presented as median (IQR) unless otherwise indicated. The data are of all ED visits and unplanned hospitalizations of children aged <15 years in England between April 2011 and
March 2012. Practice rates are per 1000 child population. Short hospitalizations are unplanned hospitalizations lasting <2 days; long hospitalizations are unplanned hospitalizations for
≥2 days. Patient-reported access is the percentage of family practice patients, responding to the GPPS,27 who were “able to get an appointment to see or speak to a GP or nurse on their
last attempt” categorized into 6 groups; <75% represents the practices with the lowest reported access and 95% to 100% the highest reported access.a Deprivation data are the practice Index of Multiple Deprivation scores (2010)28 categorized into 5 groups according to quintiles.
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(RR: 0.91 [95% CI: 0.89–0.93]).
Access was more strongly associated
with ED visits OOH (RR: 0.90
[95% CI: 0.88–0.92]), whereas for
in-hours, the RR was 0.93 (95% CI:
0.91–0.96). Improving access to 85%
would potentially have prevented
33 000 (1.1%) visits in 2011–2012
(26 000–41 000).
The proportion of young children
visiting an ED increased OOH. A child
aged <5 years was 1.5 times more
likely than a child aged 5 to 14 years
to visit an ED in hours but twice as
likely OOH. The proportion of elderly
patients registered with a practice
was not associated with ED visit rates
among children.
Short Hospitalization Rates
Children registered at practices in the
highest access group had lower crude
short hospitalization rates compared
with those in the lowest access group
(RR: 0.97 [95% CI: 0.93–1.00]). The
association reversed when adjusted
for deprivation (RR: 1.10 [95% CI:
1.06–1.14]). However, there was
no association when rates were
adjusted for all confounding factors
(RR: 1.01 [95% CI: 0.98–1.03]) (Table
3). Younger children, boys, and
practices in deprived areas or urban
areas were risk factors for short
hospitalizations. Practices with a
higher proportion of elderly patients
had more GP-referred (but not self-
referred) short hospitalizations for
children.
Children registered at practices in
the highest access group had 8%
lower adjusted short hospitalization
rates for chronic conditions (RR: 0.92
[95% CI: 0.89–0.96]) and 10% higher
adjusted short hospitalization rates
for injury (Table 3). There was no
association between patient-reported
access and short hospitalizations for
infectious illness.
ACS Hospitalization Rates
Children registered at practices in the
highest access group had 21% lower
adjusted asthma hospitalization rates
(RR: 0.79 [95% CI: 0.74–0.85]) than
children registered in the lowest
access group (Table 3). There was
borderline evidence of a negative
association between access and
diabetes hospitalization rates (RR:
0.87 [95% CI: 0.76–1.00]). There
was no evidence of an association
between access and hospitalization
5
TABLE 2 ED Visit and Unplanned Hospitalization RRs: Regression Analysis
Variable Total ED Visits Total Unplanned Hospitalizations
RR (95% CI) RR (95% CI)
Crude Adjusted Crude Adjusted
Access (95%–100% vs <75%)a 0.71 (0.69–0.73) 0.91 (0.89–0.93) 0.93 (0.90–0.96) 0.99 (0.97–1.02)
Gender (girls versus boys) 0.81 (0.80–0.82) 0.81 (0.80–0.82) 0.80 (0.78–0.81) 0.81 (0.80–0.81)
Age, years (5–15 vs 0–4) 0.57 (0.56–0.57) 0.57 (0.57–0.58) 0.27 (0.26–0.27) 0.27 (0.27–0.27)
Deprivationb
1 (least deprived) 1 1 1 1
2 1.13 (1.11–1.15) 1.11 (1.09–1.13) 1.13 (1.10–1.16) 1.13 (1.11–1.14)
3 1.27 (1.25–1.30) 1.21 (1.19–1.23) 1.21 (1.18–1.25) 1.25 (1.23–1.27)
4 1.43 (1.41–1.46) 1.33 (1.31–1.35) 1.30 (1.26–1.33) 1.37 (1.35–1.39)
5 (most deprived) 1.55 (1.52–1.58) 1.41 (1.39–1.43) 1.38 (1.34–1.42) 1.52 (1.50–1.55)
Locality (urban versus rural) 1.35 (1.33–1.37) 1.12 (1.10–1.14) 1.08 (1.05–1.10)
% Population aged ≥65 y 0.98 (0.98–0.98) 1.00 (1.00–1.01) 1.02 (1.02–1.02)
The data are of ED visits and all unplanned hospitalizations of children aged <15 years in England between April 2011 and March 2012.a Patient-reported access is the percentage of family practice patients, responding to the GPPS,25 who were “able to get an appointment to see or speak to a GP or nurse on their last
attempt” categorized into 6 groups; <75% represents the practices with the lowest reported access and 95% to 100% the highest reported access.b Deprivation data are the practice Index of Multiple Deprivation scores (2010)28 categorized into 5 groups according to quintiles; 1 represents practices with the least deprived post codes
and 5 represents the most deprived post codes.
TABLE 3 Unplanned Hospitalization RRs Comparing 95% to 100% Patient-Reported Access With <75%:
Regression Analysis
Variable RR (95% CI)
Crude Adjusted
Unplanned hospitalizations
Short staya 0.97 (0.93–1.00) 1.01 (0.98–1.03)
Long stayb 0.83 (0.80–0.86) 0.96 (0.94–0.99)
Short hospitalizations composite categoriesc
Chronic condition 0.87 (0.83–0.90) 0.92 (0.89–0.96)
Infectious disease 0.98 (0.93–1.03) 1.00 (0.96–1.03)
Injury 1.03 (0.99–1.06) 1.10 (1.06–1.14)
ACS conditions
Diabetes 0.86 (0.76–0.98) 0.87 (0.76–1.00)
Asthma 0.45 (0.42–0.48) 0.79 (0.74–0.85)
Urinary tract infection 0.76 (0.70–0.83) 1.03 (0.94–1.13)
Intestinal infection 0.76 (0.71–0.81) 0.99 (0.93–1.05)
The data are of ED visits and all unplanned hospitalizations of children aged <15 years in England between April 2011
and March 2012. Patient-reported access is the percentage of family practice patients, responding to the GPPS,25 who
were “able to get an appointment to see or speak to a GP or nurse on their last attempt” categorized into 6 groups; <75%
represents the practices with the lowest reported access and 95% to 100% the highest reported access.a Defi ned as <2 days.b Defi ned as ≥2 days.c The primary reason (diagnosis) for the hospitalizations was grouped into a broad composite category.
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rates for urinary tract infections or
intestinal infection.
Long Hospitalization Rates
Children registered at practices in the
highest access group had 4% lower
adjusted long hospitalization rates
(RR: 0.96 [95% CI: 0.94–0.99]) than
children registered in the lowest
access group (Table 3).
DISCUSSION
Main Findings
Our national study of all 9.5 million
children registered with 8035
family practices in England found
that children registered in practices
within the highest access group
compared with those in the lowest
access group were 7% less likely to
visit EDs during GP consulting hours
and 10% less likely OOH. Fifty-six
percent of all ED visits occurred OOH,
and rates peaked after school hours.
Overall, 76% of unplanned
hospitalizations were short, but
there was no evidence that they
were related to GP access. However,
children registered with more
accessible practices had lower
short hospitalization rates for
chronic conditions and ACS chronic
conditions.
Study Limitations
The strengths of our study include its
size, national population coverage,
and high level of completeness of
HES in patient data.27,29 However,
the quality and coverage of A&E data
are reportedly less reliable.28 We
found that the number of ED visits
which resulted in a hospitalization
were comparable to the number
of hospitalizations (inpatient
data) which originated from an
“A&E service.” In common with all
administrative databases, discharge
coding limitations within HES exist,30
but improvements in the past decade
mean that they are robust enough
to support their use in research.
Potential biases were minimized by
the use of broad diagnosis categories.
Because we lacked disease-
specific denominators, registered
populations broken down by age,
gender, and deprivation were used as
proxies. These factors are all strong
determinants of chronic disease
prevalence in children but are not
the only ones. Our cross-sectional,
population-based study design has
inherent limitations. We can only
infer associations and only then
for the population rather than for
individual patients. The comparison
groups in this study were based on
the reported ability of a patient to
schedule an appointment according
to the GPPS, and questionnaires are
susceptible to bias. However, the
GPPS employs a weighting strategy
to control for nonresponse bias,31
and responses reflect overall scores
regardless of the response rate.25 The
questionnaire does not differentiate
between responses of patients and
parents for their children; therefore,
assuming that GP access between
these population groups are similar
may introduce some bias. There
is a risk of residual confounding
especially because there were
significant differences in patient
characteristics between practices
with different accessibility. One
example is ethnicity, whereby health
service use differs between ethnic
groups32; however, we consider the
effects to be small.
Findings in Relation to Previous Studies
Our findings of an association
between primary care access and ED
visits are consistent with previous
studies in adults6,33 and children,34
as is the positive association between
deprivation and ED visits.6,33,35
Although previous studies found
negative associations between access
and unplanned hospitalizations,36,37
we did not. However, these studies
investigated specific conditions that
were targeted by financial health
incentives, which were in adult
populations, and the effect sizes
reported were small. Our study
focusing on children extends these
previous studies by examining
the associations of access with the
timing of ED visits in-hours and
OOH and broader groups of short
hospitalizations.
Implications and Future Research
Our estimation that >30 000 excess
children’s visits (1.1%) could have
been avoided by improving GP
access in below-average practices
illustrates the potential that investing
in primary care could have on
alleviating the strain on EDs.
The UK government is considering
health policies that will extend 7-day
access from some local schemes
nationally in a new deal set to
GPs.38 This reform will have major
implications for the GP workforce
and UK health budgets.39 However,
in the last few years, GPs have come
under considerable pressure to
manage patients’ needs on smaller
budgets and in an increasingly
demanding environment.40 Services
are stretched, and capacities must
be expanded to cope with demand.
Our findings highlight the variability
of ED visits and suggest that some
practice areas are likely to require
more investment, particularly those
with a higher registered population
of young children and in deprived
and urban areas. We suggest that
additional resources should be found
to evaluate the potential of children’s
open access surgeries at a convenient
time for parents and their child’s
health care needs, ideally between
4:00 PM and 7:00 PM. However, access
to health care is multifaceted41;
therefore, although increasing
availability of GP appointments
should be a priority, it should not
be at the expense of continuity of
care.42,43 The fact that reported
GP access is associated with ED
visits but not short hospitalizations
illustrates the effectiveness of the
ED interface regardless of GP access.
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PEDIATRICS Volume 137 , number 2 , February 2016
However, the practice of visiting
EDs for providing primary care is
an inefficient use of that service and
could detract resources from more
seriously ill children. The association
found between elderly practice
population and GP-referred short
hospitalizations in children may
reflect a lower threshold among some
GPs, who are used to treating more
elderly patients, to refer children
to hospital. We feel this finding
warrants more investigation
Our study found that children
registered with more accessible
practices were less likely to experience
a short hospitalization for a chronic
condition after controlling for
confounding factors. This finding
highlights the importance of
primary care in preventing adverse
outcomes for the increasing number
of children with chronic conditions.3
Although effect sizes were bigger for
asthma admission rates (a condition
managed within primary care),
short hospitalizations for all chronic
conditions may be a more useful
indicator for ACS hospitalizations
because these admissions are more
frequent, and diagnosing asthma
in young children is difficult. The
borderline evidence of a negative
association between accessibility and
diabetes hospitalization rates may
reflect the fact that UK GPs are not
responsible for managing pediatric
diabetes. However, increasing GP
access is unlikely to stem the rising tide
of short hospitalizations, which may
be more sensitive to other factors such
as hospital and physician behavior in
admitting a child. Our research applies
to all health care systems in which
avoidable use and costs of unplanned
hospital services are of importance to
policy makers. Research is needed to
investigate the benefits of public health
incentives proactively promoting
alternatives to unplanned care,44
innovative health service models
aimed at delivering improved child
health care within the community,45
and promotion of primary care through
practice health champions.46
CONCLUSIONS
Increasing GP accessibility could
alleviate visits to EDs, particularly
OOHs at peak times (eg, after
school), thus enabling children to
access urgent care closer to home.
Improving access to primary care
is an important policy response
to health service pressures, but
investment is needed for these
changes and should be weighted
toward supporting practices in urban
or deprived areas and those who
have a larger population of registered
children where pressures are highest.
Increasing GP accessibility may
also reduce short hospitalizations
for some children with chronic
conditions; however, short
hospitalizations for other conditions
may be more sensitive to other
aspects of health systems.
REFERENCES
1. Karanikolos M, Mladovsky P, Cylus
J, et al. Financial crisis, austerity,
and health in Europe. Lancet.
2013;381(9874):1323–1331
2. Moses H III, Matheson DH, Dorsey ER,
George BP, Sadoff D, Yoshimura S. The
anatomy of health care in the United
States. JAMA. 2013;310(18):1947–1963
3. Wolfe I, Thompson M, Gill P, et
al. Health services for children
in western Europe. Lancet.
2013;381(9873):1224–1234
4. Marshall M. A precious jewel—the role
of general practice in the English NHS.
N Engl J Med. 2015;372(10):893–897
5. Starfi eld B, Shi L, Macinko J.
Contribution of primary care to
health systems and health. Milbank Q.
2005;83(3):457–502
6. Cowling TE, Cecil EV, Soljak MA, et al.
Access to primary care and visits to
emergency departments in England:
a cross-sectional, population-based
study. PLoS One. 2013;8(6):e66699
7. NHS England. Understanding the new
NHS.2014. Available at: www. england.
7
ABBREVIATIONS
A&E: accident and emergency
ACS: ambulatory care–sensitive
AHRQ: Agency for Healthcare
Research and Quality
CI: confidence interval
ED: emergency department
GP: general practitioner
GPPS: GP Patient Survey
HES: Hospital Episode Statistics
IQR: interquartile range
NHS: National Health Service
OOH: out of hours
RR: rate ratio
PEDIATRICS (ISSN Numbers: Print, 0031-4005; Online, 1098-4275).
Copyright © 2016 by the American Academy of Pediatrics
FINANCIAL DISCLOSURE: The authors have indicated they have no fi nancial relationships relevant to this article to disclose.
FUNDING: Ms Cecil and Dr Saxena are funded by the National Institute for Health Research (Career Development Fellowship CDF-2011-04-048). Mr Cowling
is supported by the National Institute for Health Research (Doctoral Research Fellowship, DRF-2013-06-142). This article presents independent research
commissioned by the National Institute for Health Research. The views expressed in this publication are those of the authors and not necessarily those of the
National Health Service, the National Institute for Health Research, or the Department of Health.
POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential confl icts of interest to disclose.
COMPANION PAPER: A companion to this article can be found online at www. pediatrics. org/ cgi/ doi/ peds. 2015- 4163.
by guest on February 20, 2020www.aappublications.org/newsDownloaded from
CECIL et al
nhs. uk/ wp- content/ uploads/ 2014/ 06/
simple- nhs- guide. pdf Accessed August
28, 2015
8. Martin A, Martin C, Martin PB, Martin
PA, Green G, Eldridge S. ‘Inappropriate’
attendance at an accident and
emergency department by adults
registered in local general practices:
how is it related to their use of
primary care? J Health Serv Res Policy.
2002;7(3):160–165
9. McHale P, Wood S, Hughes K,
Bellis MA, Demnitz U, Wyke S. Who
uses emergency departments
inappropriately and when—a
national cross-sectional study using
a monitoring data system. BMC Med.
2013;11:258
10. Saxena S, Bottle A, Gilbert R, Sharland
M. Increasing short-stay unplanned
hospital admissions among children in
England; time trends analysis ’97-’06.
PLoS One. 2009;4(10):e7484
11. Cecil E, Bottle A, Sharland M, Saxena
S. Impact of UK primary care policy
reforms on short-stay unplanned
hospital admissions for children with
primary care-sensitive conditions. Ann
Fam Med. 2015;13(3):214–220
12. Gill PJ, Goldacre MJ, Mant D, et al
Increase in emergency admissions
to hospital for children aged under
15 in England, 1999–2010: national
database analysis. Arch Dis Child.
2013;98(5):328–334
13. Torio CM, Elixhauser A, Andrews RM.
Trends in potentially preventable
hospital admissions among adults and
children, 2005–2010: statistical brief
#151. Healthcare Cost and Utilization
Project (HCUP) Statistical Briefs.
Available at: www. ncbi. nlm. nih. gov/
pubmed/ 23678515. Accessed August
28, 2015
14. Agency for Healthcare Research and
Quality. Pediatric quality indicators.
Available at: www. qualityindicators .
ahrq. gov/ . Accessed August 28, 2015
15. Health and Social Care Information
Centre. Hospital episode statistics.
Available at: www. hscic. gov. uk/ hes.
Accessed August 28, 2015
16. Health and Social Care Information
Centre.Attribution Data Set
GP-Registered Populations Scaled
to ONS Population Estimates - 2011.
Available at: www. hscic. gov. uk/ pubs/
gpregpop11. Accessed August 28, 2015
17. Doran T, Fullwood C, Gravelle H, et al.
Pay-for-performance programs in
family practices in the United Kingdom.
N Engl J Med. 2006;355(4):375–384
18. Health and Social Care Information
Centre. HES data dictionary. Available
at: www. hscic. gov. uk/ hesdatadictionary
. Accessed August 28, 2015
19. Gnani S, Ramzan F, Ladbrooke T, et al
Evaluation of a general practitioner-led
urgent care centre in an urban setting:
description of service model and
plan of analysis. JRSM Short Reports.
2013;4(6):2042533313486263
20. Ashton CM, Del Junco DJ, Souchek J,
Wray NP, Mansyur CL. The association
between the quality of inpatient
care and early readmission: a meta-
analysis of the evidence. Med Care.
1997;35(10):1044–1059
21. Health and Social Care Information
Centre. NHS outcomes framework
indicators. Available at: www. hscic. gov.
uk/ nhsof. Accessed August 28, 2015
22. Benchimol EI, Smeeth L, Guttmann A,
et al; RECORD Working Committee. The
REporting of studies Conducted using
Observational Routinely-collected
health Data (RECORD) Statement. PLoS
Med. 2015;12(10):e1001885
23. NHS England. The GP Patient Survey.
Available at: www. gp- patient. co. uk.
Accessed August 28, 2015
24. Campbell J, Smith P, Nissen S, Bower
P, Elliott M, Roland M. The GP Patient
Survey for use in primary care in
the National Health Service in the
UK—development and psychometric
characteristics. BMC Fam Pract.
2009;10:57
25. Roland M, Elliott M, Lyratzopoulos G,
et al. Reliability of patient responses
in pay for performance schemes:
analysis of national General
Practitioner Patient Survey data in
England. BMJ. 2009;339:b3851
26. Department for Communities and Local
Government. English Index of Multiple
Deprivation. Available at: www. gov. uk/
government/ statistics/ english- indices-
of- deprivation- 2010. Accessed August
28, 2015
27. Dusheiko M, Doran T, Gravelle H,
Fullwood C, Roland M. Does higher
quality of diabetes management in
family practice reduce unplanned
hospital admissions? Health Serv Res.
2011;46(1 pt 1):27–46
28. Health and Social Care Information
Centre. HES 2011-12 A&E Data Quality
Note, 2013
29. Soljak M, Calderon-Larrañaga A,
Sharma P, et al Does higher quality
primary health care reduce stroke
admissions? A national cross-
sectional study. Br J Gen Pract.
2011;61(593):e801–e807
30. Burns EM, Rigby E, Mamidanna R, et
al. Systematic review of discharge
coding accuracy. J Public Health (Oxf).
2012;34(1):138–148
31. NHS England. GP Patient Survey.
Weighting Strategy for Year 2011-
2012. Available at: http:// gp- survey-
production. s3. amazonaws. com/ faq/
Summary of weighting Strategy for
Year 2011-2012.pdf . Accessed August
28, 2015
32. Saxena S, Eliahoo J, Majeed A.
Socioeconomic and ethnic group
differences in self reported health
status and use of health services
by children and young people in
England: cross sectional study. BMJ.
2002;325(7363):520
33. Baker R, Bankart MJ, Rashid A,
et al. Characteristics of general
practices associated with emergency-
department attendance rates: a
cross-sectional study. BMJ Qual Saf.
2011;20(11):953–958
34. Guttmann A, Shipman SA, Lam K,
Goodman DC, Stukel TA. Primary care
physician supply and children’s health
care use, access, and outcomes:
fi ndings from Canada. Pediatrics.
2010;125(6):1119–1126
35. Harris MJ, Patel B, Bowen S. Primary
care access and its relationship with
emergency department utilisation:
an observational, cross-sectional,
ecological study. Br J Gen Pract.
2011;61(593):e787–e793
36. Bottle A, Tsang C, Parsons C, Majeed
A, Soljak M, Aylin P. Association
between patient and general practice
characteristics and unplanned
fi rst-time admissions for cancer:
observational study. Br J Cancer.
2012;107(8):1213–1219
8 by guest on February 20, 2020www.aappublications.org/newsDownloaded from
PEDIATRICS Volume 137 , number 2 , February 2016
37. Calderón-Larrañaga A, Carney L, Soljak
M, et al. Association of population
and primary healthcare factors with
hospital admission rates for chronic
obstructive pulmonary disease in
England: national cross-sectional
study [published correction appears
in Thorax. 2013;68(8):781]. Thorax.
2011;66(3):191–196
38. Rt. Hon. Jeremy Hunt's 'New Deal for
General Practice', Nelson Medical
Practice, London. 19 June 2015.
Available at:: www. gov. uk/ government/
speeches/ new- deal- for- general-
practice. Accessed August 28, 2015
39. Cowling TE, Harris MJ, Majeed A.
Evidence and rhetoric about access to
UK primary care. BMJ. 2015;350:h1513
40. Majeed A. General practice in
the United Kingdom: meeting the
challenges of the early 21st century. J
R Soc Med. 2013;106(10):384–385
41. Campbell SM, Roland MO, Buetow SA.
Defi ning quality of care. Soc Sci Med.
2000;51(11):1611–1625
42. Roland M, Paddison C. Better
management of patients with
multimorbidity. BMJ. 2013;346:f2510
43. Royal College of General Practitioners.
Patient Access to General Practice:
Ideas and Challenges From
the Front Line. 2015. Available
at: www. rcgp. org. uk/ policy/ ~/
media/ Files/ Policy/ A- Z- policy/
Patient- access- to- general- practice-
2015. ashx. Accessed August 28, 2015
44. National Health Service. Not
always A&E. Available at: www.
notalwaysaande. co. uk/ . Accessed
August 28, 2015
45. Kyle RG, Banks M, Kirk S, Powell P,
Callery P. Avoiding inappropriate
paediatric admission: facilitating
general practitioner referral to
community children’s nursing teams.
BMC Fam Pract. 2013;14:4
46. Altogether Better. Practice health
champions. Available at: www.
altogetherbetter. org. uk/ practice-
health- champions. Accessed August 28,
2015
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originally published online January 20, 2016; Pediatrics Sonia Saxena
Elizabeth Cecil, Alex Bottle, Thomas E. Cowling, Azeem Majeed, Ingrid Wolfe andHospitalizations in the UK
Primary Care Access, Emergency Department Visits, and Unplanned Short
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