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Health services research aims to improve the outcomes to treatment for lung cancer by optimizing the accessibility, quality, and efficiency of treatment programs.
Achieving optimal outcomes for patients with lung cancer requires that every patient should receive optimal treatment, but many patients today do not receive optimal treatment or experience optimal outcomes.
Deviations from optimal treatment may be due to resource limitations that compromise the accessibility of treatment, to errors in clinical decision-making, or to flaws in the implementation of treatment decisions.
Delay in the diagnosis and treatment of lung cancer is widespread. Setting standards and streamlining referral processes may reduce waiting times, but these strategies only work if there are adequate resources available to provide the necessary care.
Lack of treatment resources may be the inevitable consequence of the low levels of funding available in low- and middle-income countries, but it also may be due to poor planning in high-income countries.
Multidisciplinary team (MDT) management improves the quality of care for patients with lung cancer and probably improves outcomes.
Practice guidelines improve clinical decision-making, but one size does not fit all. Patients’ values and preferences must be factored into treatment decisions. Decision aids can help patients to participate in decisions about their care.
The outcomes of surgery for lung cancer are better at high-volume centers. The same is probably true of radiotherapy. Centralizing treatment services may improve overall outcomes, if this can be achieved without compromising access to care.
Health research may be considered as a continuum of four overlapping domains: basic or biomedical research, clinical research, health services research, and population health research. Health services research is defined as a “multidisciplinary field of scientific investigation that studies how social factors, financing systems, organizational structures and processes, health technologies, and personal behaviors affect access to health care, the quality and cost of health care, and ultimately, our health and well-being.” Clinical research and health services research overlap to some degree, but their purposes are distinct. Clinical research is primarily intended to guide decisions of physicians about the care of individual patients, whereas health services research is intended to guide the decisions of managers and policymakers about the design and implementation of health-care programs.
At any point in time, the state of knowledge and the state of technology set an upper limit on what is achievable for patients with cancer. However, what is actually achieved depends not only on what would be achievable with optimal care but also on how close we come to delivering optimal care, a quantity that has been termed the attainment factor. This relationship can be expressed with the following equation.
Thus, outcomes can be improved by increasing the achievable outcome through innovation or by increasing the attainment factor through the optimization of health-care systems. The goal of biomedical and clinical research is to improve outcomes through innovation, whereas the goal of health services research is to improve outcomes through the optimization of health system performance. Innovation and optimization are complementary rather than competitive activities. Innovative biomedical and clinical research both have the potential to improve outcomes greatly in the long term, but health services research may offer the best opportunity of improving outcomes in the short term. The optimal balance of expenditure between innovation and optimization is unknown. However, in the case of diseases such as lung cancer, for which innovative biomedical and clinical research has been slow to yield real improvements in outcome, it is important to put a high priority on health services research in order to achieve the maximum societal benefits from existing treatments.
Health system performance may be characterized in three different dimensions: accessibility, quality, and efficiency. Accessibility describes the extent to which patients are able to get the care they need when they need it. Quality describes the extent to which the right care is delivered in the right way. Efficiency describes the extent to which accessibility and effectiveness are optimized in relation to the resources expended. Each of these dimensions of health system performance must be optimized in order to achieve optimal outcomes. Health services research is concerned with measuring access, quality, and efficiency; understanding the factors that influence them; and discovering ways to enhance them. The three dimensions of health system performance are clearly not independent of one another. For example, interventions aimed at enhancing quality have the potential to adversely affect accessibility and/or efficiency. It is therefore unwise to focus on one dimension of health system performance without at least keeping an eye on what is happening in the other two dimensions.
The term health-care accessibility originally was used narrowly to describe the ability of patients to obtain entry into the health system. Today, it is used more broadly to encompass all of the factors that influence the level of use of a health service in relation to the level of need for the service in a population. The concept of access has been described as representing the overall “degree of fit between the clients and the system.” Several factors have been shown to influence the overall degree of fit. Availability describes the volume and type of services available in relation to the number of patients and their needs. Spatial accessibility describes the relationship between the location of supply of service and the location of the patients who need the service, taking into account travel times and costs. Accommodation describes the extent to which the system is designed to facilitate patient access to service, for example, by operating at convenient hours or by providing lodging for those who require treatment that is only available far from their homes. Affordability describes the relationship between prices and the ability of patients to pay. It also encompasses indirect costs, for example, loss of earnings during treatment that may deter use of the service. Awareness describes the extent to which those who need the service are aware that it is available and that they might benefit from it.
Almost half a century ago, Donabedian defined the quality of health care as “a property of, and a judgement upon, some definable unit of health care, and that care is divisible into at least two parts: technical and interpersonal.” The quality of technical care is measured by the extent to which “the application of medical science and technology maximizes its health benefits without correspondingly increasing its risks.” The quality of interpersonal care is measured by “how well the physician–patient interaction meets the socially defined norms of the relationship.” Today, the Institute of Medicine describes health-care quality as “the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge.”
Donabedian also provided a framework for evaluating the quality of health care in terms of structure, process, and outcome. The term structure is defined broadly to include facilities, equipment, personnel, and organizational structures. The term process includes both the type of care that is delivered and the way in which it is delivered. The term outcome refers to the consequences of the care that has been provided. Donabedian reasoned that optimal process is necessary for optimal outcome; that adequate structure is necessary, although not sufficient, for optimal process; and that outcomes may be enhanced by identifying and correcting deficiencies in structure and/or process.
The resources available for health services are always limited, even in high-income nations. What is achievable in terms of cancer control depends on the total health-care budget, on how much of that total budget is directed to cancer care, and on how efficiently the available resources are used in providing cancer care. Efficiency measures whether we are getting the best value for money from the available health-care resources. Inefficiency is said to be present when using those resources in a different way would provide greater health benefits. Health economists distinguish between technical efficiency, productive efficiency, and allocative efficiency. As stated by Palmer and Torgerson, “technical efficiency addresses the issue of using given resources to maximum advantage; productive efficiency of choosing different combinations of resources to achieve the maximum health benefit for a given cost; and allocative efficiency of achieving the right mixture of healthcare programs to maximize the health of society.” Methods for measuring each of these quantities are well established and have been used to address some important issues in the treatment of lung cancer, but the sphere of health economics is beyond the scope of this chapter and therefore we will not deal with it in detail here.
In this chapter, we will review the results of research studies that have sought to optimize the accessibility and quality of programs of care for patients with lung cancer. This work involves identifying barriers to optimal care as well as designing and evaluating interventions to overcome those barriers. However, before one can identify deviations from optimal health system performance, one must first identify appropriate indicators of performance and establish standards of performance with respect to those indicators. We will therefore begin by reviewing the prescriptive research that has been undertaken to establish standards of care for patients with lung cancer. We will distinguish between standards of care for the individual patient and standards for the operation of the health programs that are required to deliver care to a population of patients. Standards of care for the individual patient should be based, whenever possible, on the results of randomized clinical trials that directly compare the outcomes of alternative forms of treatment. Likewise, standards for the operation of health programs should be based on the results of randomized trials that directly compare the effectiveness of alternative approaches to health-care delivery or at least on the results of well-controlled observational studies. However, we will show that the empirical evidence that underpins program standards today is usually much weaker than the evidence that supports guidelines for the care of the individual patient.
For more than half a century, treatment guidelines for the management of specific clinical problems have been widely used to guide clinical decision-making. In the past, guidelines were based largely on expert opinion, but it is now generally accepted that practice guidelines must be based on a thorough evaluation of all relevant evidence. This concept is the essence of evidence-based medical practice, defined by Sackett et al. as “the conscientious, explicit and judicious use of current best evidence in making decisions about the care of the individual patient.” Sackett et al. also provided a useful system for the classification of the types of clinical evidence that may be available and rules for their use in creating guidelines. The Institute of Medicine (IOM) has defined practice guidelines as “systematically developed statements to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances.”
Given the importance of practice guidelines, many individuals and agencies have sought to give direction on how to create them. The Cochrane Collaboration has been instrumental in promoting systematic reviews of the medical literature. The Collaboration provides guidance for undertaking the systematic reviews necessary to identify all of the relevant evidence, for evaluating the quality of the evidence, and for synthesizing the evidence through meta-analysis. The IOM monograph entitled Clinical Practice Guidelines We Can Trust examines the current state of clinical practice guidelines and provides guidance on how to improve them. Recognizing the societal importance of practice guidelines, government agencies have also played a role in this activity, and there also have been international efforts to optimize and harmonize the process of guidelines development.
Guidelines for the treatment of lung cancer have been developed by many different agencies and organizations around the world, including specialty societies such as the American Society of Clinical Oncology (ASCO), the European Society for Medical Oncology, the American College of Chest Physicians, and the American Society for Radiation Oncology; groups of health-care institutions such as the National Comprehensive Cancer Network (NCCN) in the United States; and government agencies such as the National Institute for Health and Care Excellence in the United Kingdom, Cancer Care Ontario in Canada, and the Cancer Council Australia. Some of these agencies attempt to provide comprehensive guidelines that cover the entire spectrum of possible presentations of the disease, whereas others have focused on providing detailed guidelines for management in specific clinical contexts. Most guidelines are written primarily for the use of physicians, but some agencies also provide a version that targets patients directly. It is recognized that practice guidelines that are created in one country may not be applicable in other societies with very different resources and/or different populations of patients. The NCCN, an alliance of 23 major cancer centers in the United States, is now endeavoring to provide international adaptations and translations of its guidelines to make them suitable for use in countries with different levels of economic development. Nonetheless, it is probably preferable for each society to develop its own guidelines. Repeating work that has already been done elsewhere may seem to be a waste of resources, but the process of guideline development is important in its own right and may have as much normative effect on practice as the guideline itself.
Variation in patient values and the biologic heterogeneity of tumors pose particular challenges for the creation and application of treatment guidelines.
Patients differ in their values and preferences. Treatments that offer only modest benefit but substantial toxicity may be desirable to some but not to others. Under these circumstances, there is no standard treatment, and patients and physicians are faced with the choice between what Eddy described as options with preferences split. It has been shown that this is exactly the situation that prevails in decisions about the use of chemotherapy for nonsmall cell lung cancer (NSCLC). In an early study of decision-making related to the treatment of locally advanced NSCLC, Brundage et al. found that patients varied widely in terms of the degree of improvement in survival that they believed would justify the added toxicity of chemotherapy.
Once it is recognized that optimal decisions depend on patient values, it becomes imperative to engage patients actively in decisions about their medical care. However, it is well known that patients with cancer, particularly lung cancer, often overestimate the potential benefits of treatment and may have little understanding of potential toxicities. Better communication with patients about the benefits and risks of treatment is therefore necessary for patient-centered decision-making.
Since the late 1990s, there has been a sustained effort to develop and evaluate decision aids to provide patients with the information that they need in order to make informed decisions and also to provide them with ways of clarifying their values. A systematic review demonstrated (1) that cancer-related decision aids usually are acceptable to patients and (2) that such aids do help patients to make treatment choices that are based on realistic expectations of outcomes. A decision aid for patients with locally advanced NSCLC, developed more than a decade ago, was favorably reviewed by patients and their physicians. The decision aid was shown to help patients understand the benefits and risks of treatment and also was shown to help them make the treatment choice that was most consistent with their values. In a positive recent development, ASCO has created a series of decision aids for patients with lung cancer and has made them available online as a supplement to its treatment guidelines.
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