General Practice

Analysis of the ability of the new needs adjustment formula to improve the setting of weighted capitation prescribing budgets in English general practice

BMJ 2000; 320 doi: (Published 29 January 2000) Cite this as: BMJ 2000;320:288
  1. Darrin L Baines, senior lecturer in health economics (Bainesdl{at},
  2. David J Parry, lecturer in health economics
  1. Health Economics Facility, Health Services Management Centre, University of Birmingham, Park House, Birmingham B15 2RT
  1. Correspondence to: D L Baines
  • Accepted 22 December 1999

Editorial by Majeed General practice p 284

In April 1991 prescribing budgets were introduced into English general practice as part of the fundholding and indicative prescribing schemes.1 The schemes were designed to control the growth in public expenditure on drugs and to reduce the variation in prescribing costs that existed between general practitioners in different parts of the country. Initially, practice level prescribing budgets were set on a historical cost basis. This approach was criticised, however, for being inequitable and for possibly rewarding high cost, inefficient practices with more funds.2 In response, a move to budgets set on a weighted capitation basis was recommended as a means of promoting equity while ensuring that funding levels reflected the needs of patients locally.

The identification of several limitations of the weighted capitation formula that was used to help set prescribing budgets in England from 1993–4 onwards led to a debate about the desirability of using such an approach. Majeed argued that variations in general practice prescribing costs were too large to be explained in this way.3 He suggested that the rigid, inflexible application of weighted capitation formulas to help set practice level prescribing budgets should be avoided. In a similar vein, Majeed and Head argued that weighted capitation formulas were very crude tools for determining general practice prescribing budgets and should be used only as a guide to allocations.4 Greenhalgh concluded that such formulas should not be used as substitutes for factors such as reflection or negotiation during the budget setting process.5 Maxwell, Howie, and Pryde reported that the formula used to help set practice level budgets failed to take account of factors such as patients' values, beliefs, and expectations.6 Finally, Smith argued that the formula did not reflect all patient related variations in costs, random variations in need, and differences in clinical practice. In consequence, he argued, such formulas should be used with great caution.7

Summary points

The existing weighted capitation formula used for setting prescribing budgets in English general practice has known limitations

A new needs adjustment formula was designed to address many of these limitations

As the new formula was developed using a similar procedure for identifying patients' needs, it embodies some of the limitations of its predecessor

In particular, the new formula may have institutionalised historical prescribing patterns and may fail to measure patients' needs directly

The new formula should be subjected to piloting and a formal evaluation before it is recommended for use nationally

Despite concerns about the use of weighted capitation formulas in the setting of practice level prescribing budgets, the “new NHS” white paper announced that from April 1999 onwards all practices in England would be allocated a budget for prescribing under the auspices of the newly established primary care groups.8 To help improve the basis on which such budgets are set, the NHS Executive commissioned researchers from York University and the Prescribing Support Unit to identify which factors other than patient age, sex and temporary resident status were associated with variations in costs. In June 1999 the NHS Executive published the final formula produced by the research team with the recommendation that it be used by primary care groups to help guide practice level prescribing allocations. In response, we outline some of the main deficiencies of the formula and conclude that the approach used during its construction may have institutionalised historical prescribing patterns and failed to measure variations in patients' needs for prescribed drugs.

Development of a weighted capitation formula for prescribing

As practice level prescribing budgets had not been set before April 1991, the NHS lacked a robust weighted capitation formula for their allocation. At the time, the only available prescribing cost denominator was the “prescribing unit,” which weighted patients aged under 65 years as one and those aged 65 and over as three. The prescribing unit was used by many health authorities to help compare costs between practices within their areas. Evidence suggested, however, that the measure failed to account for differences in age and sex related variations in prescribing spending.9 In response, the ASTRO—PU (age, sex, and temporary resident originated prescribing unit) was developed; this contained weights believed to reflect the distribution of prescribing costs, in relation to age and sex, in English general practice.10 Although the ASTRO—PU was superior to the prescribing unit, the architects of the new measure stated that many factors other than the age and sex structure of a practice population influenced prescribing and that its weightings accounted for only about 25% of the variations in costs between practices.10

Not only was the ASTRO—PU unable to explain 75% of the variation in prescribing costs per practice nationally, but its explanatory power was also challenged by changes in prescribing patterns over time. As prescribing patterns had changed substantially since the measure's construction during the early 1990s, the ASTRO—PU's weights were recalculated using data from November 1995 to October 1996. The new measure, the ASTRO(97)—PU, gave larger weights to patients under the age of 65 and reduced some of the weightings for older patients. Given the greater accuracy of these weightings, the architects of the ASTRO(97)—PU suggested that these new weightings should be used for budget setting.11

Although the ASTRO(97)—PU was designed to be more accurate than the ASTRO—PU, it embodied several weaknesses similar to those of its predecessor. In particular, the new measure used only one set of weightings for all practices nationally and did not measure need in terms of patients “capacity to benefit” from prescribed drugs—that is, their ability to improve their health status through the consumption of pharmaceutical products.12 In consequence, the ASTRO(97)—PU was unable to guarantee that (a) practices would be funded for all legitimate variations in costs, (b) its national weights were applicable at a local level, and (c) prescribing allocations would accurately reflect patients' needs.

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Accurately identifying patients' needs is crucial to developing an appropriate needs adjustment formula


New needs adjustment formula for prescribing

In response to the publication of the “new NHS” white paper, the NHS Executive commissioned researchers from the University of York and the Prescribing Support Unit to develop a needs based formula for adjusting prescribing allocations made on the basis of the ASTRO(97)—PU.13 The logic behind this move was that such a formula would be able to improve the basis on which budgets are set by accounting for the factors related to need not included in the ASTRO(97)—PU. The researchers used multiple regression modelling to explain practice level variations in prescribing expenditures. Based on data for 8506 English practices for 1997–8 their model explained 41% of the variation in costs, above that accounted for by the ASTRO(97)—PU with four “need” and five “supply” variables (plus a variable designed to correct for differences in list inflation between practices). Although the scheme was abolished in March 1999, the model also included a variable designed to account for the assumed endogeneity of fundholding status among the practices sampled.

The need variables included in the needs adjustment formula were based on responses to questions asked by the 1991 census. In this context, the use of census variables presents two main problems. Firstly, such variables are prone to random and systematic errors and, in some areas, may not accurately reflect the true values of the variables that they are trying to measure. 14 15 Secondly, they do not measure need in terms of patients' capacity to benefit from available interventions—for example, the “permanent sickness” variable was designed to measure the proportion of the population unable to work owing to long term illness or disability and was not designed to measure people's ability to benefit from prescribed drugs. Despite these limitations, the Advisory Committee on Resource Allocation for the NHS in England recommended a revised version of the needs adjustment formula for use by primary care groups, which only included the variables for permanent sickness, no carer, students, and babies.16 The supply variables, on the other hand, were dropped from the recommended formula, as they were not deemed to represent need related variations in costs


The architects of the ASTRO(97)-PU and of the needs adjustment formula adopted a “positive” approach to explain practice level variations in prescribing costs—that is, they based their research on prescribing patterns that were observed during the years in which they sampled their data. The researchers could have adopted a “normative” approach, whereby they would have specified the factors that should determine variations in costs and the influence they should have during the budget setting process.17 A normative statement could be that “extra funding should be provided for patients exempt from the prescription charge” or that “15 times as much should be spent on men aged over 75 years.

By using a positive approach, the researchers may have fallen foul of the “naturalistic fallacy”–that is, they inappropriately attempted to derive “ought to “from” is”—by recommending that pharmaceutical budgets should be based on previously observed prescribing patterns.18 To avoid the fallacy, observed prescribing patterns must be a suitable basis for determining future prescribing spends. Prescribing behaviour in one time period may not reflect changes in pharmaceutical technology and patients' needs in the next (and may embody an unknown amount of inappropriate and inefficient prescribing).19 Because a positive approach was used, practice allocations were based on nationally observed, historical prescribing patterns rather than on patients' needs locally.

Common deficiencies

As a positive approach was used to construct both the ASTRO(97)-PU and the needs adjustment formula, both formulas may share a common set of deficiencies. Firstly, they may be unable to account for all causes of prescribing cost variation (such as differences in individual prescribing behaviour and random fluctuations), particularly as their construction is limited by the availability of high quality and appropriate data.20 In consequence, legitimate causes of prescribing cost variations (such as differences in clinical practice, prescription exemption rates, and the number of nursing home patients) may not be funded. 21 22 Secondly, as they recommend only one set of weights for all practices nationally, they may be of little use to primary care groups, which have to set budgets that reflect local variations in need.23 Thirdly, as neither formula is able to measure patients' capacity to benefit from prescribed drugs, budgets set on this basis may not reflect local needs. Finally, instead of addressing the problems associated with budget setting on a historical cost basis, the ASTRO(97)-PU and the needs adjustment formula may have institutionalised historical prescribing patterns, with the result that they wrongly attempted to predict future prescribing patterns on the basis of past trends.24

Piloting before use

Given the possible limitations of the new needs adjustment formula for prescribing, the formula should be subjected to piloting in a small number of practices before it is adopted nationally. Such piloting should assess the effect of the formula on practitioners' prescribing behaviour and the volume and types of medicines that patients receive. Also, the assessment should examine the extent to which, at a local level, the national weights attached to the variables included in the formula reflect patients' capacity to benefit from prescribed drugs. Once these data on the implications of its use have been collected, the NHS Executive should consider whether the formula is a suitable basis on which to set practice allocations and should issue instructions to primary care groups accordingly. Piloting may lead to the conclusion that weighted capitation formulas of this type are an inadequate basis on which to set such budgets and that other means of allocating prescribing funds need to be found.


We thank Dr Azeem Majeed and Professor Alain Li Wan Po for comments on an earlier draft of this paper.

Contributors: DLB and DJP were jointly involved in the critical analysis and the writing of this paper. DB is the guarantor.


  • Funding The authors both work for the Health Economics Facility. No additional funding was secured for this work

  • Competing interests None declared


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