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The New Zealand Medical Journal

 Journal of the New Zealand Medical Association, 02-April-2004, Vol 117 No 1191

What makes a good performance indicator? Devising primary care performance indicators for New Zealand
Peter Crampton, Roshan Perera, Sue Crengle, Antony Dowell, Philippa Howden-Chapman, Robin Kearns, Tom Love, Bev Sibthorpe, and Margaret Southwick
As is true of other disciplines, primary care in New Zealand is not exempt from the search for the ‘holy grail of quality’. Indeed, there is currently significant activity and debate in New Zealand related to clinical governance and quality improvement in primary care (for example, Royal New Zealand College of General Practitioners,1 First Health,2 and Healthcare Aotearoa).3 The Primary Health Care Strategy4 charts a course for primary care where, increasingly, primary care and public health strategies are coordinated and inter-meshed, with the overall objective of improving population health and reducing health inequalities (Figure 1).

Figure 1. The interacting roles of primary care and public health
CONTENT01.jpg

New approaches to measuring performance may be required to serve this new strategy, which focus on the effectiveness of multidisciplinary teams working under the aegis of Primary Health Organisations (PHOs). These new approaches, in turn, raise basic questions that must be answered. For example, the increasing complexity of primary care suggests that performance indicators are now required to reflect a number of different perspectives (Table 1), but clearly not all perspectives can be given equal weight.

Table 1. Which perspectives matter most?

Perspective
Examples
Population health
  • Infant mortality rates
  • Cervical screening rates
Inequalities
  • Ethnic differentials in disease rates
  • Socioeconomic differentials in cervical screening rates
Patient-centred
Patient perceptions of standards of care can be measured using tools such as:
  • the Primary Care Assessment Tool33
  • patient enablement tools25
Clinical
  • Adherence to evidence-based prescribing is promoted as a performance indicator32
Organisational
  • Length of consultation is associated with quality of care in the UK34
  • Primary care organisational characteristics at primary care group level (such as gender balance of GPs and list size) in the UK have a significant influence on a range of performance measures such as hospital admission rates for asthma and diabetes29
  • At the level of individual practices in the UK organisational factors such as quantity and quality of facilities, practice size and night visiting rates have a significant influence on hospitalisation rates35 36
Community-based
  • Tools are currently being developed to measure the extent of community involvement in governance37
Government
  • Indicators can be based on level of achievement of key government goals and targets for health, such as those identified in the Health Strategy38
Rights-based
  • Indicators can be based on the extent to which services adhere to the patient code of rights39
Funding-based
  • Financial incentives can be linked to performance indicators as is proposed in the new UK contract for general practitioners6

Decisions need to be made regarding the balance of perspectives. Similarly, decisions need to be made regarding the number of indicators that can reasonably be expected to be used. The new contract for general practitioners in the UK specifies around 140 quality indicators—76 for clinical care, 56 in organisational areas, 4 assessing patients’ experiences, plus indicators for additional services.5,6 Are 140 indicators too many or too few? How much resource and effort should be invested in performance monitoring by providers?
Given that the New Zealand Ministry of Health proposes that performance indicators are required for PHO contracting, then these, and other key decisions regarding performance indicators, require wide debate within the primary care sector—with input from consumers and a wide variety of providers and stakeholders; including, general practitioners, Maori and Pacific providers, and primary care professionals working in rural and urban settings. This paper discusses a range of preliminary questions about performance indicators, and introduces a collaborative research effort that aims to underpin and inform a New Zealand approach to performance indicators for primary care.

What are primary care performance indicators?

Terminology is varied and inconsistently used. Nevertheless, standard frameworks for assessing the performance of healthcare systems, such as those of Maxwell,7 Murray and Frenk,8 the OECD,9 and the World Health Organisation,10 all include the notion of effectiveness—do health services result in improved health?
This is the central question underlying performance measurement. Performance indicators can be thought of as fitting within an overarching quality framework that seeks to improve patient care and population health outcomes, and reduce health inequalities (Figure 2).
Figure 2. Quality, outcomes and performance

CONTENT02.jpg

Performance indicators have been defined as measurable elements of practice performance for which there is evidence or consensus that they can be used to assess the quality, and hence change in quality, of care provided.11 Performance indicators are an important component of (and adjunct) to most approaches to quality management,12 and can relate to clinical, population health, financial and organisational performance. Performance indicators may contribute to quality improvement programmes in two ways.
First, they can promote wider use of evidence-based interventions; for example, in the secondary prevention of coronary heart disease.13 Second, they may assist in the evaluation of quality improvement programmes run at a practice or PHO level. It seems reasonable, therefore, that primary care performance indicators should be limited to those factors that can be directly influenced by primary care organisations, rather than attempt to assess the performance of the whole health system plus broader social programmes.11,13–15 If the latter were the case, primary care could be unfairly ‘judged’.
The overlapping concept of ‘outcomes’ is related to performance indicators, but tends to be a broader generic term used to refer to the results of care of individuals or populations,16,17 which are frequently long delayed.11 Two principal domains of outcome are health status (for example, diabetes related mortality) and user evaluation (for example, patient satisfaction surveys). Health status outcomes may be considered a simple count of health events that may be contingent upon a wide variety of factors.14,16
In practice, most outcome indicators are also measures of need for healthcare services, and so serve a dual purpose. Outcomes research in primary care is generally either concerned with the impact of healthcare on disease processes, or the impact of healthcare on population health. With the former, outcomes research requires an understanding of the natural history of the condition, defined objectives of care against which the outcomes are measured; understanding of the full range of inputs that may influence the outcome, the hypothesised relationship between the inputs and outcomes, and a suitable research design to study outcomes.17 p.5
In the case of population health, while it is often not possible to make such clear connections between inputs and health outcomes, the same principles apply.

Current use of performance indicators in primary care—too much or too little?

Measuring performance of healthcare providers is a universal contemporary theme in health systems.18 Despite this, New Zealand lacks a nationally agreed approach to primary care performance indicators. Currently, it is likely there is a mixture of under- and over-use of performance indicators, little national consistency in their application, lack of clarity about any underlying theoretical development, and lack of local validation.
Furthermore, it is not clear how existing international performance indicator frameworks might be suitable for New Zealand. The presence of an indigenous population, both fee-for-service and capitation payment mechanisms in general practice, and particular health-related organisations (such as PHARMAC and ACC) provide a social and institutional setting different from many other countries.
Internationally, the importance accorded the development of performance and outcome indicators is underscored by the large amount of effort in the UK and the US in developing respectively the national performance framework,19,20 and HEDIS21 indicators for healthcare plans. In light of this situation, our purpose is to raise (for discussion) the questions of ‘what’, ‘when’, and ‘how’, with respect to performance monitoring of primary care in New Zealand.

Who are the main users of primary care performance indicators?

The validity, reliability, and acceptability of performance indicators depend to some extent on their intended uses.15 That is, the design of performance indicators is intimately related to their purpose. Four key uses for performance indicators for primary care in New Zealand are listed below. It is probably neither possible nor desirable that these four purposes be achieved by a single set of performance indicators. Indeed, the aims of ongoing quality enhancement and incentive funding may be in conflict, if funding incentives result in less emphasis on desirable activities, in favour of those which are financially rewarded.
First, the government, communities and Maori iwi require tools for assessing the effectiveness and quality of care offered by different types of primary care organisations. Specifically, performance indicators may be helpful for assisting the public understand the healthcare system, and of conveying (to communities) the differences in the ways that key elements of care are provided in different populations and different localities.
Second, development of performance indicators will assist primary care organisations and healthcare providers in assessing the effectiveness of their own activities—in improving the health of their population and reducing inequalities. Already much time and effort is expended in collecting data in primary care, yet there is little consensus on which data should be collected. Focusing data collection on a limited set of meaningful performance indicators could result in a reduction in workload in some cases, and increased data collection in others.
Third, performance indicators are used in a policy and funding context, where there is increasing emphasis on accountability of primary care providers to their communities and to funders, and on information collection and sharing.4 p.24 The Primary Health Care Strategy states: ‘More research and evaluation is required to resolve issues—such as the degree of variation in service provision, the most appropriate ways to target limited resources, the most efficient ways to provide care, and what services are best in different circumstances’.4 p.26 Clearly, therefore, performance indicators are a key tool for assessing the impact of organisational changes, and the performance of provider organisations.
Fourth, performance indicators are useful for research. Given the increasing organisational heterogeneity in New Zealand's primary care sector,22,23 there is an urgent need for studies comparing the performance of care in different demographic, cultural, epidemiological, and organisational contexts. If primary care ‘models’ are to be compared meaningfully, then validated performance measures are required.

What should primary care performance indicators measure?

We contend that a theoretical foundation is absolutely necessary in the formulation of performance indicators. A theoretical framework provides answers to questions such as: why do we need indicators? What should they measure? How should they be constructed? In the absence of clear answers to these questions, performance indicators can be used variously as a means of unjustifiably punishing primary care providers, or as a tool for shifting funding in response to political or lobby group pressures.
Several theoretical approaches to primary care performance indicators have been advanced. (Also, it is evident from the literature that indicators research is sometimes carried out without any explicit theoretical elaboration.) Four theoretical approaches are given here as examples.
First, Campbell et al16 proposed a framework for assessing quality of primary care that builds upon Donabedian’s classic healthcare quality triad related to structure, process, and outcome.24 They assess quality-of-care on two key dimensions: access and effectiveness—do users get the care they need, and is the care effective when they get it? Effectiveness, in turn, has two dimensions: clinical effectiveness and interpersonal relationships. Structure refers to the organisational factors that determine how care is provided, and is divided into two domains—physical characteristics (eg, opening hours, user charges, booking system, waiting times) and staff characteristics (eg, teamwork, language skills). Process-of-care includes technical interventions (eg, prescribing and screening tests), and interpersonal interactions between staff and users. Process-of-care may be further classified into preventive care, care for chronic disorders, and care for acute illness.
At the population or societal level, Campbell et al identify four outcomes of importance: health status, user evaluation (such as satisfaction and enablement),25 cost of providing the service (which, when combined with outcomes, brings in the notion of efficiency), and equity (fairness). Furthermore, Campbell et al consider equity to be a sub-component of access relevant to structure and process; they define it as the extent to which all individuals in a population access the care they need in a timely way (as opposed to equality-of-access, which implies equal access to services, irrespective of need).
Second, Van Norren et al26 proposed an action-oriented framework that focuses on intermediate variables that directly affect health status, and can also be influenced by primary care interventions. The key feature of their framework is a set of intermediate variables (such as breastfeeding) that link the social and biological systems.
The intermediate variables are grouped into five categories, and have the following characteristics—they are both behavioural and biological in kind (ensuring a direct biological effect on health while also ensuring that they can be influenced by interventions or policy); they have a particular focus of effect on a biological risk factor; they exert a direct effect on the factor in question; and they are susceptible to primary care interventions (preferably an item of priority in primary care programmes). In this framework, as with the Campbell et al framework, it is not necessary to measure the precise magnitude of the effects of intermediate variables on morbidity or mortality.
Third, McColl et al13 described an evidence-based approach for developing performance indicators for primary care groups. As with Campbell et al, they explicitly identified two key domains of performance broadly related to access and effectiveness. The focus of their research was effectiveness indicators, and involved three key steps—they identified interventions of proven efficacy for which primary care has a key responsibility; they estimated the number of preventable deaths or events in a primary care group or locality of 100,000 people if all those eligible were receiving the intervention; and they compared the potential indicators they derived with the indicators proposed by the UK government. Furthermore, they demonstrated considerable differences between their evidence-based indicators and those in the national framework. While the paper discusses numerous methodological problems with their approach, their proposed evidence-based indicators provide a useful set to consider in New Zealand.
Fourth, the Australian National Health Performance Committee developed a national performance measurement framework for the health system (adapted from the Canadian Institute of Health Information framework as part of the Canadian Roadmap Initiative [www.cihi.ca]).27 The Australian framework consists of three tiers: health-status and outcomes, determinants of health, and health system performance. The Committee grouped health system performance into nine dimensions, with any single indicator providing information across one or more of the nine dimensions. The nine dimensions that are defined and discussed in the report relate to the degree to which health services are: effective, appropriate, efficient, responsive, accessible, safe, continuous, capable, and sustainable. Two over-arching dimensions are applied to the three tiers: quality and equity. Advantages of the Australian framework include its practical applicability, its comparability with the Canadian framework, and its capacity to provide data for comparative studies with New Zealand.
Despite the diversity of theoretical approaches to primary care performance indicators exemplified above, there is very little research that evaluates different approaches thereby enabling links to be made between the different approaches to performance-monitoring, and improved quality of services and health outcomes.

How should performance indicators be constructed?

Examination of the literature suggests a number of important criteria for primary care performance indicators (Table 2).11,13,14,16,26–28 Clearly, not all these characteristics can possibly apply to every indicator. Arguably the only absolutely essential criterion is that the indicator be attributable to healthcare; the weight given to the various criteria is at the discretion of those devising indicator sets and there is very little evidence to guide weighting decisions. Nevertheless, having the criteria for an ‘ideal’ indicator identified and listed, allows ongoing critique of indicators, and increases awareness of the limitations of indicators. It is also important to identify characteristics for sets of performance indicators—characteristics that may not apply to any given indicator, but that must apply to a set (Table 3).11,13–15,26-29

Table 2. What makes a good performance indicator?

Requirements
Explanation and examples
Reflect important aspects of health status
Example: diabetes care
Be attributable to health care
There must be a link between provider actions and the performance indicator that the provider has some control over
Example: prescribing indicators
Be linked to health outcomes
There must be evidence that improved indicator values are associated with improved health outcomes
Be sensitive to change
Performance indicators should detect changes in provider behaviour
Be sensitive to and discriminate between primary care organisations
-
Be based on reliable and valid information
Performance indicators should be evidence-based
Be precisely defined
-
Be easily quantifiable
-
Reflect a variety of dimensions of care
-
Be understood by people who need to act
-
Be relevant to policy and practice
-
Be feasible to collect and report
The cost of collecting data for performance indicators should be within the scope of primary care funding
Comply with national processes of data definitions
-
Not be vulnerable to random fluctuation associated with rare events
Indicators that reflect rare events might be expected to fluctuate from year to year due to statistical instability, as has been clearly demonstrated empirically with respect to hospital admissions.14 This difficulty may be reduced by using a three year moving average.14
Minimise perverse incentives
Punitive and constructive uses of indicators effect provider behaviour differently

Table 3. What makes a good set of performance indicators?

Requirements
Explanation
Reflect the needs of different ethnic and socioeconomic groups
-
Be agreed amongst stakeholder groups
-
Be applicable across a range of organisational settings
A set of indicators should be applicable across a range of organisational and geographic settings, for example rural, urban, iwi-based etc.
Take into account population and secondary service characteristics
Population, primary-service characteristics and secondary-service characteristics that are largely outside the control of primary care organisations have been shown to have an important influence on certain performance indicators. These factors effectively confound the relationship between primary care inputs and performance measures. For example, it has been demonstrated that at the electoral ward level in the UK hospital mortality is significantly associated with the ratios of doctors to head of population;40 and a high proportion of the variance in age and sex standardised admission rates can be explained by socioeconomic and secondary care factors (in the region of 30%-50% of variance).14,29

Therefore, methodologically, it is important that key population and secondary care characteristics (such as socioeconomic deprivation and proximity of hospital beds) are taken into account when performance indicators are measured and compared. To a limited extent the HEDIS set of indicators in use in the US takes into account ethnicity of enrolled Medicaid (welfare assisted) patients to address the issue of cream-skimming where again such factors confound the relationship between health care inputs and performance and outcome measures.16
Minimum standards vs higher levels of performance
Within a set of indicators, explicit distinctions should be made between indicators designed to assess minimum standards (with which practices should comply) and indicators designed to assess higher levels of performance.15

How should we monitor the performance of performance indicators?

Little research has been carried out into the effectiveness of quality programmes, let alone the use of performance indicators.30 Nevertheless, accountability and quality concerns remain at the forefront of the policy agenda, and so approaches to performance monitoring must be devised that are as robust as possible (given the lack of supporting evidence). More importantly perhaps, the implementation of indicators should be monitored and researched so that the value of performance indicators themselves can be judged. Does the use of performance indicators contribute to health gains and reductions in inequalities? Is the use of performance indicators leading to positive change in the organisation of services? In other words, to state the obvious, findings from using indicators should be the beginning not the end of a process of enquiry.15

What are some barriers to implementing performance indicators?

There is a range of potential barriers to implementing performance indicators. Perhaps the most important barrier arises when primary care providers perceive that indicators are not relevant in their context or lack face validity. This barrier is best addressed by collaborative development of indicators that involves provider and community perspectives, and clear communication of the rationale for indicators. The perception amongst primary care organisations that indicators may be used in a punitive way may slow their acceptance and use. Similarly, high cost of data collection (for the Ministry of Health, Primary Health Organisations, or primary care practices) is likely to inhibit uptake and use of indicators.

Where are we heading with primary care performance indicators?

Efforts are underway by the Ministry of Health to establish an initial set of performance indicators that can be used in the context of PHO development. For example, the Ministry of Health commissioned an independent group to carry out an iterative, Delphi-like process to achieve consensus on a small set of clinical performance indicators that have face-validity, and where data about performance may be readily available.31,32 A small number of population-oriented indicators are also being explored. The Ministry has formed a technical advisory group, consisting of a range of primary care stakeholders, to assist in the implementation of this interim set of indicators (personal communication, Jon Foley, Ministry of Health, November 2003).
We support the introduction of a more systematic approach to performance indicators in primary care and are heartened that existing literature, and The Primary Health Care Strategy, support a positive continuous improvement approach rather than a punitive or sanctioning model of performance monitoring. We believe that performance monitoring should be carried out in a way that actively contributes to the development of population-based primary care in New Zealand while remaining in the scope of the primary care budget.

Conclusions

Although a variety of theories contribute to our understanding of what constitute good primary care performance indicators, there is (currently) little consensus on which data should be collected by primary care organisations. The Ministry of Health is leading a project, in collaboration with primary care stakeholders and researchers, aimed at developing a standardised approach to selecting and evaluating primary care performance indicators that draws on international experience and also takes into account New Zealand's unique primary care context. However, more research, which evaluates the contribution of performance indicators to improved quality of primary care and health outcomes, is needed.
Acknowledgements: We thank Jon Foley (Senior Policy Analyst, Ministry of Health) and two anonymous reviewers for comments on an earlier draft of this paper.
Correspondence: Peter Crampton, Department of Public Health, Wellington School of Medicine and Health Sciences, PO Box 7343, Wellington. Fax: (04) 389 5319; email: cramptonp@wnmeds.ac.nz
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