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BMJ No 7121 Volume 315 Information in Practice Saturday 6 December 1997
What can PACT tell us about prescribing in general practice?Azeem Majeed, Norman Evans, Paula Head Prescribing is important to general practitioners. Most consultations with a general practitioner result in a prescription being issued, and in 1995 general practitioners in the United Kingdom issued about 550 million prescriptions. The total cost of these prescriptions was £4700m, 11% of all NHS spending in 1995. Unsurprisingly, the general practice prescribing budget is seen by many managers and health economists as an area where there is scope for considerable savings through more cost effective prescribing.(1, 2) Hence, general practitioners are likely to be increasingly called on to defend their prescribing patterns.
In England the main source of information on general
practitioners' prescribing is PACT (prescribing analyses and cost),
and similar schemes exist in Scotland and Wales. Although PACT was
first introduced in 1988, many general practitioners have made little
use of PACT data. Because of the importance and potential value of such
data, general practitioners need to be aware of the information
available via PACT and how this information is used by health
authorities' medical and p
PACT - Prescribing analyses and cost. Information
on general practitioners' prescribing obtained from prescriptions
dispensed by community pharmacists, dispensing general practitioners,
and appliance contractors
PPA - Prescription Prescribing Authority. Located
in Newcastle, the PPA is the source of PACT data PUs - Prescribing units. A measure of patients'
needs for prescribed drugs weighted for age; patients aged under 65
years count as one unit, patients aged 65 and over count as three units
ASTRO-PUs - Age, sex, and temporary resident
originated prescribing units. A more sophisticated measure of
patients' needs for prescribed drugs than prescribing units STAR-PUs - Specific therapeutic group age-sex
related prescribing units. Measures of patients' needs for prescribed
drugs in specific therapeutic areas. These are not yet in widespread
use Defined daily doses - A measure of the amount of
drug prescribed based on standard therapeutic units. The number of
defined daily doses is calculated by dividing the total amount of a
drug prescribed by the defined daily dose for the drug. For example,
the defined daily dose of ranitidine is 300 mg. If a practice
prescribed a total of 186,000 mg of ranitidine, this would equal 620
defined daily doses (186,000/300) PACTLINE - An electronic link between health
authorities and the PPA which allows health authorities to download
computerised prescribing data about the prescribing of their general
practices HEAPACT - Health authority electronic PACT. An
enhanced version of PACTLINE which allows health authorities to obtain
computerised information about the prescribing of individual drugs EPACT - Electronic PACT. A unified system that
will replace PACTLINE and HEAPACT
The Prescription Prescribing Authority (PPA) collects information
on all prescriptions issued by general practitioners that are dispensed
by community pharmacists, dispensing general practitioners, or
appliance contractors. The information collected includes the name and
cost of the drug and the number of items dispensed (an item is defined
as each preparation on the prescription). The drugs dispensed are then
used to calculate the cost of each item, and the information is entered
onto computer by the PPA. Drugs are categorised by the section of the
British National Formulary that they fall in. Hence,
information is available for individual drugs (such as salbutamol), for
categories of drugs (such as bronchodilators), or for therapeutic areas
(such as respiratory drugs). This information is available at
individual practice level, health authority level, and national level,
allowing different analyses (box 2).
Unit of analysis Level of analysis PACT includes information on prescribing costs, the
number of items prescribed, and generic prescribing. This information
can be looked at using different units of analysis or different levels
of prescribing data. General practitioners will be mainly interested in
their own practice's PACT data and how their prescribing compares with
other practices in their health authority. Health authorities will want
to know how they compare with other health authorities and about the
prescribing of their general practices. The NHS Executive will want to
know about prescribing at national and health authority levels After analysis, the data are fed back to both health authorities and
general practitioners. General practitioners generally only receive a
printed version of the analysis. This information (the standard PACT
report) contains information on the practice's rates and costs of
prescribing along with comparative information. General practitioners
can ask for more detailed information but this more detailed report is
very unwieldy. By contrast, health authorities receive both printed
reports on general practices' prescribing and also have access to
computerised PACT data (PACTLINE). Recently, the PPA has also developed
HEAPACT (health authority electronic PACT). This allows health
authorities' pharmaceutical advisers to obtain information on the
prescribing of specific drugs directly from the PPA via a modem link.
With HEAPACT, health authorities can look at prescribing in great
detail. For example, the prescribing of new classes of drugs such as
selective serotonin reuptake inhibitors can be examined to determine
which general practices are the first to make major use of
them.
Traditionally, PACT has been mainly used as a financial tool to
help health authorities set and monitor general practice prescribing
budgets. However, PACT is now increasingly used for other purposes,
including audit and research, improved methods of funding high cost
drugs, and the development of practice formularies. Because prescribing
is heavily influenced by general practices' demography, weightings for
age and sex have been developed so that rates and costs of prescribing
in different practices or health authorities can be
compared.(3,4)
Budget setting
Health authority budgets
The NHS Executive has recently begun to use PACT data to develop a
formula for allocating prescribing budgets to health
authorities.(5) Variables were used to develop a statistical
model that could be used to explain variations in prescribing costs
between health authorities. Variables that were found to be associated
with prescribing costs included the age and sex weighted population
(measured with ASTRO-PUs), cross boundary flows (patients living in one
health authority but registered with a general practice in another
health authority), and the percentage of people in a health authority
with permanent sickness (obtained from the 1991 census). Health
authorities that were more than 2% below their predicted spending were
given a larger increase in their prescribing budget than other health
authorities. The NHS Executive is now encouraging health authorities to
consider using similar methods when they in turn allocate budgets to
practices.
General practice budgets
PACT data are used by health authorities to help set and
monitor general practices' prescribing budgets. For many years, these
budgets were based on prescribing units, but most health authorities
now use ASTRO-PUs as these provide better weightings for age and sex
than do prescribing units. Because there is no valid capitation based
formula for allocating prescribing budgets to practices, health
authorities have to use their judgment when allocating budgets. In
effect, this means that practices with a good grasp of their past and
current PACT data are likely to be able to argue a better case than
other practices and hence obtain a larger prescribing budget.
Health services research
Prescribing indicators
Markers of good prescribing
Markers of bad prescribing* *Usually measured as number of items per
ASTRO-PU Health authorities currently use many different indicators, but
they are largely unvalidated and an important subject for further
research will be to see if these indicators are valid measures of the
quality of general practitioners' prescribing. Much of the research in
this subject has tried to validate indicators by examining their
association with other process measures. For example, several
researchers have looked at the association between the ratio of inhaled
corticosteroids to inhaled bronchodilators and admission rates for
asthma.(11-13) The next step in this research will be to
v Current NHS information systems make it straightforward for health
authorities to produce a large number of prescribing indicators, and
care is needed in deciding how indicators are selected and used.
Ideally, prescribing indicators should be used to improve the quality
and effectiveness of prescribing in general practice and not simply to
reduce prescribing costs.(14) Furthermore, like all
indicators of performance, prescribing indicators can create perverse
incentives, and it would be fairly straightforward for practices to
improve their performance as measured by many of the indicators without
improving their clinical management of patients.(15) For
example, a practice with a low ratio of inhaled corticosteroids to
inhaled bronchodilators could improve its ratio by indiscriminately
increasing its prescribing of inhaled corticosteroids without improving
other aspects of patient management such as patient education or
adequate record keeping.
Despite their limitations, however, prescribing indicators do
offer potential benefits to general practitioners. For example, general
practitioners can use them to set and monitor their practice's
progress towards a target rate of prescribing generic drugs.
Identifying expensive drugs
This approach has now been adopted by many health authorities. For
example, Kingston and Richmond Health Authority has used PACT data in
combination with notifications from general practices to identify
patients taking any drug costing more than £1500 a year (table 1).
Patients who need a drug that costs more than £2000 a year have the
cost of the drug met from a special health authority budget for
expensive drugs. One byproduct of this is that the health authority has
been able to produce a database of patients who need expensive drugs
including information on diagnosis. This information can then be fed
back to local practices to help them manage their prescribing budgets
and to plan the clinical management of these patients. The register
also has other potential uses: for example, it can be used to identify
patients with specific conditions and hence can be used to identify
samples of patients for audit and research.
At present, it is much easier to identify expensive drugs than to
identify expensive patients, as high cost drugs can be identified
through PACT data. Unfortunately, patients who require multiple low
cost drugs and who therefore have high overall drug costs cannot be
identified through the PACT system. This is because PACT can not yet
provide patient based data.
Analysing prescribing in therapeutic areas
Although PACT data have many uses, they do have some important
limitations, the most important being that the data provide only a
narrow range of information, mainly on what drugs were prescribed and
how much the prescribed drugs cost. Secondly, the data cannot be linked
to demographic or clinical data on patients. Hence, they cannot be used
to calculate age and sex specific prescribing rates or to look at
p Most general practitioners currently receive their PACT data
from the PPA in the form of a booklet. Many health authorities are also
producing prescribing indicators for feedback to their general
practitioners, and in some cases these indicators are distributed in
electronic format. In some areas general practitioners have also been
given access to their entire PACT data in electronic format. The next
step in making PACT data more accessible will be to extend this
initiative and to provide PACT data in electronic format to all
practices that want this. However, to make effective use of electronic
PACT data, general practitioners will need training in how to analyse,
interpret, and use PACT data appropriately. There are two developments that would substantially improve
the usefulness of PACT data. The first would be to include a unique
patient identifier (such as the NHS number) on the prescription. This
would allow prescriptions to be linked to individual patients, leading
to patient based PACT data and the calculation of age and sex specific
prescribing rates. It would also allow general practices and health
authorities to identify patients who have high drug costs and thus lead
to more reliable s The other major development that would improve PACT would be to include
diagnostic data (perhaps in the form of a Read code) on the
prescription. This would allow prescribing for specific clinical
conditions to be analysed. Because many drugs, such as beta
blockers and angiotensin converting enzyme inhibitors, have more than
one indication, PACT data cannot currently be used for this.
Neither of these developments would be easy to implement and,
realistically, would not be feasible until all general practices are
fully computerised and issue virtually all prescriptions with their
practice computers. Including clinical data on the prescription form
would also raise issues about confidentiality, and this might prevent
the implementation of this measure. However, as well as improving the
usefulness of PACT data, these developments, especially the use of a
unique patient identifier, could lead to a lower level of prescription
fraud and thus yield some financial savings.
(Accepted 22 October 1997)
Pontilen, Merton,
Sutton and Wandsworth Health Authority, Kingston & Richmond Health Authority,
Correspondence to: Dr
Majeed
email: a.majeed@sghms.ac.uk
References
1 Audit Commission. A prescription for
improvement: towards more rational prescribing in general
practice. London: HMSO, 1994.
2 Freemantle N, Henry D, Maynard A, Torrance G. Promoting cost
effective prescribing. BMJ 1995;310:955-6.
3 Roberts S J, Harris C M. Age, sex and temporary resident
originated prescribing units (ASTRO-PUs): new weightings for analysing
prescribing of general practices in England. BMJ
1993;307:485-8.
4 Lloyd D C E F, Harris C M, Roberts D J. Specific therapeutic
age-sex related prescribing units (STAR-PUs): weightings for analysing
general practices' prescribing in England. BMJ
1995;311:991-4.
5 Reeves C L. Prescribing expenditure: guidance on
allocations and budget setting for 1997/98. NHS Executive:
Leeds, 1996. (EL(96)107.)
6 Morton-Jones T, Pringle M. Explaining variations in
prescribing costs across England. BMJ
1993;306:1731-4.
7 Wilson R P H, Hatcher J, Barton S, Walley T. Influences of
practice cha
8 Harris C M, Scrivener G. Fundholders' prescribing costs: the
first five years. BMJ 1996;313:1531-4.
9 Griffiths C, Sturdy P, Naish J, Omar R, Dolan S, Feder G.
Hospital admissions for asthma in east London: associations with
characteristics of local general practices, prescribing and population.
BMJ 1997;314:1482-6.
10 Bateman D N, Eccles M, Campbell M, Soutter J, Roberts S J, Smith
J M. Setting standards of prescribing performance in primary care: use
of a consensus group of general practitioners and application of
standards to practices in the north of England. Br J Gen
Pract 1996;40:20-5.
11 Shelley M, Croft P, Chapman S, Pantin C. Is the ratio of
inhaled corticosteroid to bronchodilator a good indicator of the
quality of asthma prescribing? Cross sectional study linking
prescribing data to data on admissions. BMJ
1996;313:1124-6.
12 Aveyard P. Assessing the performance of general practices
caring for patients with asthma. Br J Gen Pract
1997;420:423-6.
13 Griffiths C, Naish J, Sturdy P, Pereira F. Prescribing and
hospital admissions for asthma in east London. BMJ
1996;312:481-2.
14 Baker S J. Use of performance indicators for general practice.
BMJ 1996;312:58.
15 Majeed F A, Voss S. Performance indicators for general practice.
BMJ 1995;311:209-10.
16 Heath I. The creeping privatisation of NHS prescribing.
BMJ 1994;309:623-4.
17 Bogle S M, Harris C M. Measuring prescribing: the shortcomings of
the item. BMJ 1994;308:637-40.
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