U.S. Department of Health and Human Services
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The preparation of this Resource Guide would have been impossible without the cooperation of dozens of people who demonstrated their commitment to ensuring the quality of care provided to people with disabilities. In particular, project staff would like to acknowledge the contributions of a group of advisors, whose names are listed below. The group's make-up mirrored our intended audiences, and therefore included staff in State Medicaid agencies and others who work with State Medicaid agencies; staff from managed care organizations; health care providers; and families and other advocates for people with disabilities. A subset of the group provided critical input at the inception of the project by helping us think through the framework for the document; the criteria that should be used in selecting measures; and how the document might best be organized to be useful to different audiences. A second, partially overlapping subset of the advisors actually reviewed the draft document in detail and provided extensive feedback. Of course, none is responsible for the final product, but their comments were both thoughtful and helpful and led to significant changes, and we hope, improvements. One organization, the Center for Health Care Strategies, went above and beyond the call of duty not only by providing input from their staff, but also by supporting Ruth Martin, a consultant to the Center. Ruth Martin made written contributions to the Resource Guide on the important topic of the resources needed to implement an effective performance measurement system.
We were also supported by many experts who had used, reviewed or developed measures and measurement systems that could be considered relevant to the health care needs of people with disabilities. These subject matter experts provided copies of their own materials, referred us to others working in the field, shared their own visions and caveats with us, and shaped our thinking significantly. We are especially indebted to the organizations whose measures, measurement systems and criteria sets are included in the Resource Guide. Not only did they provide us with their materials, but they also helped us present them accurately and completely.
Finally, we would like to acknowledge the continuous encouragement and assistance of staff of the Office of Disability, Aging and Long-Term Care Policy (DALTCP) in the Office of the Assistant Secretary for Planning and Evaluation (ASPE). Mary Harahan, Deputy to the Deputy Assistant Secretary/DALTCP, had the vision and the courage to pursue this project, the type of which is a departure from "traditional" ASPE undertakings. Gavin Kennedy, our Task Order Monitor, was consistently supportive, resourceful and patient. In the final stages of our work, we were pleased to get additional input and advice from Lisa Lang, from ASPE's Office of Health Policy; her expertise in health care quality was especially valuable.
More and more people covered by Medicaid are enrolling in managed care organizations (MCOs). Under voluntary Medicaid managed care, beneficiaries can choose between an MCO and more traditional Medicaid arrangements, such as fee-for-service (FFS) or the more structured primary care case management (PCCM) program. Under mandatory Medicaid managed care, beneficiaries must enroll in an MCO under contract with their State's Medicaid agency. Most State Medicaid managed care programs began by enrolling people eligible for Aid to Families with Dependent Children, or as it now called, Temporary Assistance for Needy Families (TANF). However, several States have now begun to implement, or seriously consider, the use of managed care for people covered by Medicaid because they are eligible for Supplemental Security Income (SSI); all eligibles in this category are by definition persons with a disability.
Several advantages have been attributed to Medicaid managed care. Proponents believe it will:
However, others have concerns about whether MCOs can and will meet the health care needs of Medicaid eligibles. They worry, for example, that:
These concerns become more significant when decisions are being made about the use of MCOs to care for people with disabilities, many of whom need a complex (and sometimes uncommon) mix of health and social services to maintain health and functioning. One advantage of MCOs is that it is easier to measure, and thus to improve, the performance of a given MCO than it has been to measure, and especially to improve, the performance of a community's FFS system. The expansion of managed care has been accompanied by increased attention to performance measurement for health care delivery systems, and an increased emphasis on the need to hold systems accountable for their performance.1
While there is little evidence that Medicaid FFS as a system took very good care of the population of persons with disabilities, it is clear that specific health professionals, facilities and programs have provided excellent and responsive care to particular patients in particular communities. For many, the ultimate value of managed care will be determined by whether it works well for people with complex and specialized health care problems and needs, the kind of problems and need of many persons with disabilities. As more and more people with disabilities enroll in managed care, it is critical, for us all, to determine whether MCOs are performing well in meeting their needs.
Comprehensive systems for measuring the performance of health care systems in caring for persons with disabilities do not yet exist. At the same time, thousands of individual quality measures exist but it is often difficult to discern which will be most reliable and relevant to measure MCO performance in caring for people with disabilities. In these circumstances, it is easy to respond either by (1) doing little or nothing to measure MCO performance or (2) mounting costly efforts to measure hundreds of highly specific aspects of quality that may fail to provide a coherent picture of performance. This Resource Guide is designed to help those who want to begin to work toward a comprehensive system, today, by using measures available right now that have a clear relationship to domains of performance important to the care of persons with disabilities.
This Resource Guide is designed to support efforts to measure and improve Medicaid MCO performance for people with disabilities. It presents the results of an extensive search for existing performance measures that can be used for quality measurement and improvement by:
The purpose of the Resource Guide is threefold:
To provide an overview of the issues to be considered in measuring the performance of MCO in taking care of people with disabilities;
To bring together in one volume key information about measures that now exist, or are about to be made available, that can be counted on to support efforts to measure and improve the care provided by MCOs to people with disabilities; and
To make clear the areas where technically strong measures do not exist, in order to encourage further measurement development in these areas.
The Resource Guide is the result of a ten-month effort by the Center for Health Outcomes Improvement Research2 at the George Washington University Medical Center. This effort was supported by the Office of Disability, Aging and Long-Term Care Policy of the Office of the Assistant Secretary for Policy and Evaluation (ASPE) at the U.S. Department of Health and Human Services. ASPE commissioned the Resource Guide in response to numerous requests from the field to disseminate, sooner rather than later, the best available measures of performance in caring for people with disabilities.
Two important features of the project must be noted. First, the project was not designed to develop new measures. Rather, it identified existing measures, or measures that are about to be released. The time and resources available were not sufficient for the development of new measures. It is relatively easy to identify a dimension of performance for MCOs, and even to reach consensus across stakeholders that this dimension is significant to meeting the needs of people with disabilities. It is far more difficult, and takes considerably longer, to develop a reliable and valid way of measuring a dimension of performance. The project has helped to identify the gaps in existing performance measures, i.e. the dimensions of performance that many people think are critical but for which valid and usable measures are not available. It can, therefore, serve as a guide to future measurement development efforts.
A second feature of the project is that it did not focus on measures that would be used to assess the care provided to people, such as the frail elderly, who are in nursing homes or other residential long-term care facilities. Again, given time and resource limitations, the project's goal was to concentrate on care delivered to other populations of Medicaid eligibles with disabilities who are being enrolled in MCOs.
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An Example: Measuring Coordination Virtually everyone agrees that effective care for people with disabilities requires the coordination of a wide and complex range of medical and non-medical services. Coordination of care is clearly a dimension of performance. It is quite difficult to coordinate care, especially across multiple agencies and providers. It is at least as difficult to gather pieces of information from multiple agencies and providers that, when put together, will provide a clear picture of whether or not services are being coordinated. The project found few reliable measures of coordination of care. |
Following this Introduction, the Resource Guide has four chapters. Chapter Two: Developing Systems to Measure the Performance of Managed Care in Serving People With Disabilities, discusses issues that should be considered in the selection and use of performance measures, including:
Chapter Three: Domains of Managed Care Performance in Serving People with Disabilities, presents a framework for categorizing the aspects of MCO performance considered important in providing quality care to people with disabilities. This Chapter should be read by everyone. The framework it presents performs two roles:
It presents the full range of topics that are important to address with respect to serving people with disabilities.
It serves as an organizing tool for describing and categorizing particular measures; the framework will be used for that purpose throughout the Resource Guide.
In Chapter Four: Specific Measures to Assess the Performance of Managed Care in Serving People with Disabilities, presents measures and measurement systems that deserve serious consideration for inclusion in a performance measurement system. We are not recommending that anyone use ALL these measures. Rather, they are a good range from which to select a sub-set for implementation. This Chapter includes:
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Measures vs. Measurement Systems: A measure typically addresses a very specific characteristic. A measurement system is typically a collection of measures that may be quite comprehensive in scope. For example, one measure of the performance of MCOs in taking care of children is the rate of complete immunization of children by the age of two. This specific measure is one of many that are included in the best known managed care measurement system: the Health Plan Employer Data and Information Set (HEDIS®) of the National Committee on Quality Assurance (NCQA). The Resource Guide includes both measures and measurement systems. |
The Resource Guide does not include copies of actual measures, such as complete surveys, or the full technical specification of measures. The inclusion of such material would make the document large and cumbersome. Rather, the Guide provides sufficient information on each measure to help potential users decide whether further consideration of the measure is warranted, as well as information about where and how to get actual instruments, technical specifications, other documentation and in several cases technical support.
Chapter Five: Criteria Sets for Assessing Managed Care Organizations, presents material that may also be of use in examining the performance of MCOs in serving people with disabilities. Several groups have identified specific characteristics of MCOs that they think have important consequences for the care of people with disabilities. These are criteria sets, rather than formal technical measures. That is, no method has been specified for collecting information to determine whether a characteristic is present or absent. In some cases, determining whether a characteristic is present may be relatively easy; in other cases, it may be quite difficult. We have included three criteria sets in the Resource Guide because:
Finally, a list of References and Resources provides information on other resources and documents that you might find useful in developing a performance measurement system.
To determine how best to assess the performance of MCOs in serving Medicaid eligibles with disabilities, it is important to understand key characteristics of this population. When the last U.S. Census was conducted in 1991-1992, there were 48.9 million Americans with a disability, or nearly 19.4 percent of the total U.S. population (McNeil, 1993). At that time, approximately 19 percent of persons with disabilities aged 15 to 64 were covered by Medicaid.
In 1995, according to the Health Care Financing Administration (HCFA), approximately six million people with disabilities were covered by Medicaid, of whom 1.3 million were children. Within Medicaid, those with SSI were the second fastest growing eligibility group between 1990 and 1994, increasing at an average annual rate of 10 percent (Davis and O'Brien). These authors also report that as of 1995, the disabled "make up only 15 percent of all Medicaid users, while their spending accounts for 39 percent of all program payments."
The 1994 National Health Interview Survey (NHIS) included a supplement designed to learn more about people with disabilities. Utilization of medical care among the Medicaid SSI population was slightly higher than utilization in the general Medicaid population, but similar to utilization for all people with disabilities. The survey reveals that many children with disabilities are eligible for Medicaid not under the SSI, but under TANF. This implies that measuring the performance of MCOs in serving people with disabilities, and especially children with disabilities, may be a significant concern even when a Medicaid program does not enroll SSI-eligible persons in MCOs.
Analysis of the NHIS also reveals that estimates of the size of the population with disabilities vary widely, depending upon the definition used. Some respondents who would be classified as having a disability under certain definitions (e.g., impairments, disease conditions, inability to perform certain activities of daily living) do not self-identify as having a disability. This may reflect differences in attitude between people with disabilities and their health care providers. As Harahan noted in a discussion of these results, people with disabilities "may demand control over their own lives and maximum choice."
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Key Characteristics of the Population of People with Disabilities
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As already noted, the extent and nature of health services needed by people with disabilities varies widely. This section presents the health care needs of three subgroups: healthy people with disabilities; people with disabilities who have ongoing but not particularly complex health conditions; and people with disabilities who have complex and uncommon health conditions. Through this discussion, we highlight the issues that must be addressed in measuring the performance of MCOs in caring for a population of people with disabilities.
People with disabilities need the same set of preventive and curative health services as those without disabilities. Indeed, as in the general population, many people with disabilities need regular preventive care but only episodic curative care, since they are basically in good health.
In providing health services even to healthy people with disabilities, however, delivery systems must identify, and take into account, the particular challenges facing each person. For example, HCFA data cited by Davis and O'Brien (1996) reveal that "Mental impairments, including mental illness, mental retardation, and developmental disabilities, predominate among both the adult and child SSI populations." People with these conditions comprise 67 percent of adult and 57 percent of child SSI recipients. When preventive and curative medical care is being provided to this group, it must be tailored to take into account their psychological, social and developmental needs and problems. This implies two special needs even for the physically healthy person with a mental or developmental disability:
A wide variety of other diagnoses and conditions can result in a disability that makes one eligible for SSI. Medicaid SSI eligibles also include people who have sensory impairments; neurological problems; mild to very severe limitations in their motor functioning; and respiratory limitations. As in the case of those with mental impairments, the physical, psychological and other challenges presented by their particular condition must be taken into consideration in ensuring access to medical care and in ensuring care will be appropriate to the individual. Access and appropriateness are concerns for everyone. Issues that are often of special concern to persons with disabilities include:
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Examples: A system caring for a speech- or hearing-impaired person must be equipped to communicate effectively with this person, both on the telephone and in person. A woman of 53 who is quite healthy but in a wheelchair needs an annual screening mammogram like all women of her age. However, special equipment and perhaps special outreach efforts may be needed to ensure that she gets screened. |
Other persons with disabilities resemble (indeed may be) persons with chronic medical conditions. That is, in addition to regular preventive services and episodic curative care, they need specific services on a regular basis for an ongoing condition. They (and often their family) must often participate actively to make sure their condition is well managed. Since their condition may never be "cured," the focus of attention shifts to their ability to live as full and active a life as possible is maintained, and to avoid preventable deterioration and complications of their condition. For this group of persons with disabilities, the following needs become especially important:
Compared to the general population, a higher proportion of people with disabilities face quite serious and often uncommon medical problems, that must be treated or managed effectively, and that can significantly influence the treatment of other medical problems that occur over their lifespan. Their health care needs are complex and specialized. Multiple providers may care for an individual patient at any given point in time. The specific services required may change over time. Given these circumstances, the following issues, in addition to those already mentioned, become particularly important:
Most MCOs are not organized, at the outset, to take care of the full range of complex and uncommon medical problems that may be faced by their members. Their network may not include the required specialists. Their formulary may not include the required medications. MCOs that agree to take responsibility for a population of persons with disabilities need to expect the unexpected, and be ready, willing and able to respond. The responsiveness of MCOs to complex and uncommon medical problems is influenced by the following factors:
This section of the Resource Guide addresses how to think about and plan for a system for measuring MCO performance in serving people with disabilities. It begins by defining performance measurement, and then describes how performance measurement can be used by different groups, and what resources are needed to use it well. The section ends with a discussion of how to enhance, over time, our efforts to measure and improve performance.
In this Guide, performance measurement is defined as:
the process of using formal, scientifically grounded tools and methods to collect information about a health care delivery system, such as an MCO, to determine whether its characteristics and actions, and the consequences of its actions, meet expectations.
Performance measurement is a key element in holding health care delivery systems accountable for what they do. It is intended to inform decisions and guide actions. It is not measurement simply for the sake of measurement, or to conduct research.
As implied in our definition, performance measurement involves comparing performance against a set of expectations about what an MCO can and should be doing for its members. These expectations come in part from what research tells us can and should be done to achieve desired outcomes. However, the performance measures we choose, and in particular what we choose to measure, invariably reflect, in addition, values and preferences.
This leads to a question: whose expectations, and whose values and preferences, should drive the development of performance measures? The development of effective performance measurement systems will require participation from many different stakeholders: purchasers (such as State Medicaid agencies); policy makers; MCOs; health and social service providers; and consumers, including persons with disabilities and their families and other informal caregivers. Each of these stakeholders is likely to have distinct values, preferences and expectations. To develop a performance measurement program, it is essential to develop sufficient consensus about expectations. While it is difficult to reach complete agreement on expectations, it is clearly possible to identify a set of important and widely shared expectations.
Performance measurement can be undertaken by different organizations, for different purposes. We will discuss how measuring performance of MCOs in serving people with disabilities might be used by four different and significant constituencies: State Medicaid agencies; MCOs; people with disabilities and those who care or advocate for them; and health care providers.
State Medicaid agencies can use performance measurement to:
Managed care organizations can use performance measurement to:
People with disabilities, their caregivers and advocates can use performance measurement to:
Health care providers (such as hospitals, health centers, individual physicians and physician groups) can use performance measurement to:
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The Goal of Performance Measurement Performance measurement is designed to achieve a fundamental goal: to improve the overall performance of the health care delivery system by encouraging and rewarding good performance and by discouraging or eliminating poor performance. When MCOs know that their performance is being measured, and that important decisions and actions will be shaped by the results, they will pay more attention to whether their performance meets expectations. A set of performance measures is like a test. In education, people often complain when teachers "teach to the test." In measuring MCO performance, however, the intention is quite explicit that MCOs will shape their behavior so they do well on the test. This means that we must make sure we have the right test. This Resource Guide is intended to help people put together the right set of performance measures, i.e., the right test. |
Performance measurement always involves making comparisons. Here are some comparisons that can be made using performance measurement:
comparing different MCOs to each other:
who is performing better at ensuring that patients are actively involved in decisions about their care? who is not doing as well?
comparing each MCO's performance to an explicit standard:
do people get seen for urgent care within 12 hours? do at least 90 percent of children get all required immunizations by the age of two? are sign language interpreters always available for regularly scheduled appointments with hearing impaired persons?
comparing how an MCO performs at a certain point in time to how they performed at another point in time:
is the MCO reducing how long patients wait in the office before they are seen? or are patients actually waiting longer?
comparing the performance of MCOs in caring for people with disabilities to their performance in caring for other members:
how do rates of mammography compare between women over 50 with and without disabilities? how often do people with disabilities disenroll from a given MCO because of quality concerns, as compared to disenrollment among those without disabilities?
comparing the performance of MCOs, across the board, with the performance of other delivery systems such as FFS or PCCM:
how do people with disabilities who join MCOs rate their access to specialists, as compared to those who remain in FFS or PCCM?
Different kinds of comparisons reflect, sometimes implicitly and sometimes explicitly, different expectations. For example, when MCOs are being compared to each other, they are implicitly measuring their performance against the "average" performance in the group. Saying that a particular MCO is "better than average" may be misleading if everyone is performing poorly. Saying performance is "just about average" may similarly be misleading is everyone is performing very well.
On the other hand, comparing each MCO's performance to a standard makes expectations very explicit. Standards, like measures, have to be developed. They can be derived from:
what can actually be achieved because at least some pathbreaking MCOs have achieved it (this is often called a benchmark):
for example, a small group of MCOs has found methods to ensure that primary care physicians diagnose depression and make appropriate referrals where needed for 80 percent of their patients
what research shows is essential, or critical, to achieve desired outcomes:
for example, when 90 percent of a population has been immunized, the population as a whole achieves "herd immunity" reducing to virtually nothing the chance of disease transmission
what stakeholders agree is both achievable and morally right:
for example, a standard can be set that no one should face physical barriers to access to health care facilities
Finally, when the performance of MCOs in serving people with disabilities is compared to their performance in serving other members, there is an implicit expectation that people with disabilities deserve, can, and should get at least the same quality of care as everyone else.
There are innumerable attributes of an MCO that can affect the health, functioning, quality of life and satisfaction of the people it serves. There are thousands of measures of the quality of medical services, most designed to determine whether, for a patient with a particular diagnosis or condition, the correct services were provided at the right time by the appropriate people and achieved the desired consequences. But very few MCO attributes, and very few condition-specific quality measures, are likely to work well as part of a system of performance measurement. Why? For one thing, no one has the resources to measure everything that could be measured. No one has the time or resources to use all the information that would be generated by such a massive measurement effort. Indeed, it is important to avoid spending so many resources on performance measurement that it detracts from, rather than adds to, our ability to provide good service to people with disabilities.
To build a performance measurement system, it is critical to select a limited number of good measures that together provide a coherent picture of a health care delivery system, rather than measure everything. As noted earlier, the performance measures selected will get the attention of MCOs, so it is important to select the right set. Here are some criteria that can be used to select measures; they were also used to select the measures included in this Resource Guide:
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Criteria for Selecting Performance Measures
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The measure should tell you about something that is considered of great significance.
As noted above, performance measures reflect expectations and values. Some things that an MCO does (or does not) do are far more significant that others, depending on your expectations and values.
The measure should address an aspect of the performance that the MCO can significantly influence.
Performance measurement is a tool to hold MCOs accountable. It is neither sensible nor fair to hold an organization accountable for what it cannot influence. Notice this criterion uses the term influence rather than control. No organization can control anything completely. However, MCOs have significant influence over many things they do not control. Another way to put this is this: does the measure address something that is actionable, something that the MCO can work to improve? does it give the MCO clear direction about what it needs to work on?
Related to this criterion is the issue of what the MCO is contractually required to provide to its members, and in particular to its members with disabilities. Thus, for example, if a contract between a State Medicaid agency and an MCO does not specify that a given service must be provided to enrollees, it may not be appropriate to measure whether or not that service is indeed provided.
The measure should tell you something that reflects the performance of an MCO as a system of care, rather than a very narrow aspect of its functioning.
This criterion is somewhat difficult to understand and apply. An example may help. When health care delivery systems in different countries are compared, one of the performance measures that is almost always used is the infant mortality rate. This measure meets our first two criteria well: increasing the number of newborns who survive to at least the age of one is clearly important; and while the health care delivery system cannot control all the factors that influence infant mortality, it has a significant influence on many others. It also meets this third criteria, because reducing infant mortality requires that many different parts of the health care system do a good job. The infant mortality rate reflects whether women get prompt access to pre-natal care; whether the care is consistent and effective; whether the most up-to-date tests and treatments are being used; whether potentially high-risk pregnancies are being identified early; and whether action is being taken to reduce or address risks swiftly and effectively.
Another way to think about this criterion is in terms of whether a particular action that an MCO can take would have a big effect on the entire experience a member or a patient has in the MCO. For example, whether a new member of an MCO is linked to a primary care provider quickly (say within 30 days) could be critical for their ability to use and benefit from the entire system. Another example of special importance to people with disabilities is whether the MCO has an efficient and timely process for bringing new, highly specialized providers into their network when a new member enrolls who needs such providers to maintain or improve health and functioning.
The measure should let you make the comparisons you want to make.
As discussed above, performance measurement always involves comparisons. Measures should be selected that are relevant to the comparisons being made. Just as important, measures have to be selected that can be implemented across all the organizations or systems being compared. In particular, the data needed for the measure has to be available across all these organizations and the measures need to be sufficiently specific to ensure that data are collected exactly the same way.
The measure should address an event that can be observed often enough to produce reliable results.
Most performance measures are rates; they measure how often, or for what proportion of people, an event takes place. The denominator of a rate indicates the maximum number of times, or the maximum number of people, for a given event. For example, the denominator for a disenrollment rate would be the number of people enrolled in a plan over a given time period. The numerator of a rate indicates the actual period of time, or the actual number of people, for a given event. Thus, the numerator for a disenrollment rate would be the number of people in a plan who disenrolled (typically for specific reasons related to their dissatisfaction with care) in that same time period. When the denominator or the numerator are likely to be quite small, it becomes difficult, for statistical reasons, to have confidence in the reliability of a rate. It also becomes very difficult to make comparisons.
This "small number problem" makes it difficult to include as performance measures events that are specific to a particular health problem or condition, especially if that condition is not very common in the general population, in the population of people with disabilities, or in the population of people enrolled in a particular MCO or group of MCOs. For this reason, we have emphasized, in the Resource Guide, measures that are applicable to larger groups of people, rather than condition-specific measures.
Measures are not the only resource needed to build, and to use well, a system of performance measurement. In this part of the Resource Guide we will discuss the other resources that need to be in place to build a system.
As noted above, performance measurement requires that we clarify expectations. Also as noted, many constituencies have an important stake in what gets measured, how it is measured, how it gets reported, and to whom. For this reason, it is highly desirable to design systems of performance measurement with input from multiple stakeholders. In most but not all cases, the lead in development of such systems will come from State Medicaid agencies. The lead organization should convene all stakeholders, including other State agencies who provide health and related social services to people with disabilities. Experiences in several States indicates that the initial planning and design process can take up to a year. The convenor needs to have skills in planning, in facilitating group processes and in managing conflict, as well as technical knowledge. Some may find it useful to contract with an external consultant as a facilitator, since an outsider may appear more neutral than any of the parties.
No matter how carefully measures are selected to assess MCO performance in caring for people with disabilities, the system will fail unless accurate and comparable data are collected in a systematic manner and unless it is analyzed and interpreted correctly. Two key players, State Medicaid agencies and MCOs, are most likely to be directly involved in data collection and analysis. Two kinds of data are likely to be collected for performance measures: primary data, collected for example through surveys of members; and secondary data, collected from existing administrative and clinical records and information systems.
Within State Medicaid agencies, a critical resource is people. One or more dedicated staff members will be needed with knowledge of the following:
States need to decide how they want to receive performance information. There are three basic choices:
MCOs submit the calculated performance measure;
MCOs submit the data required to calculate the numerator and denominator of the performance measure and the State calculates the measures;
for measures calculated from administrative data only, the MCOs submit all claims or encounter data and the State calculates the measures.
The approach chosen has implications for the extent and nature of computer hardware and software resources, and for how many and what types of staff are needed to receive, clean, and load the data and calculate the performance measures.
States must also choose how they will audit and validate data. The need for validation increases as the MCO, rather than the State, takes responsibility for data collection and the calculation of performance measures. But much of the data will inevitably be based on MCO records. Unless the data are audited, the State cannot assess the level of confidence that it should have in the reported performance measures or correct the problems with the performance measures. There are several ways in which the State can audit the data:
To participate effectively in a performance measurement system, MCOs need three broad categories of resources:
Specific staff expertise includes:
If MCOs choose to implement performance measures based on surveys, they will also need either an in-house survey capacity or more likely the capacity to select and work with an outside vendor.
As performance measurement and reporting have become more critical for MCOs, the need for management information systems that can support these efforts has grown. In an ideal world, all medical records would be automated and MCOs would have direct access to clinical data that could be combined with administrative data, such as enrollment records, to produce timely, accurate performance measures. Unfortunately, current reality is far from ideal. Therefore, clinical information is derived, to the extent possible, from claims and/or encounter data. Information is further limited by the type of coding used for office visits and procedures and the coding used for diagnosis. For Medicaid members, enrollment data come directly from the State and are not under the control of the MCO; these data are sometimes critical to specifying the population for which a measure will be relevant. Therefore, collaboration at the operational level will almost always be needed between the State Medicaid agency and MCOs in order to generate many performance measures.
An MCO's ability to participate in an effective performance measurement system depends on its having a management information system (and related staff) that:
Many performance measures will require the use of clinical information (that may well not be computerized) as well as administrative data (that is more likely to be computerized).6 This means it is important to have staff with expertise and experience in the abstraction of medical records. As important is a healthy relationship between the MCO and its providers. Especially in more loosely organized and decentralized provider networks, the MCO will need to work carefully with its providers to ensure that data are reliably and consistently collected. In this context, auditing and validation are even more important.
The amount and type of data collection and analysis resources needed by States and MCOs depend on the number and type of performance measures chosen, the frequency of reporting, and the level of statistical confidence needed. In general:
All too often, based on traditional practice, performance measurement is viewed as of interest only to technical professionals. In fact, however, a critical value of performance measurement is that it promotes both general accountability to the public and the generation of information that can support decisions and actions made by individual members of the public. Performance data can only be used by those who have access to it. In planning a performance measurement system, attention needs to be given to whether, how, when and to whom performance data will be disseminated.
MCOs and State Medicaid agencies may find themselves uncomfortable at the thought that they will not be the only people who see, interpret and use performance information. It does "raise the stakes" both on the relevance and quality of the data when wider dissemination is planned. In some ways, however, this a good reason to pursue dissemination: the quality of data may rise when people know that the public will see it.
The implication is not only that dissemination needs to be considered in planning, but also that resources will be required to develop and implement the dissemination strategy. The resources include staff or third-party consultants and vendors with skills and experience in:
People with disabilities, their caregivers and advocates are not just another audience in this context; they understand best how they can be reached effectively and it is wise to involve them from the outset in planning dissemination efforts.
At the outset, State Medicaid agencies and MCOs will not have all the resources needed to implement an ideal performance measurement system, including in particular:
Performance measurement systems will be "works in progress" for many years. They will not be ideal and should not be expected to be ideal at the outset. This is one area where the adage that "the perfect can be the enemy of the good" is very applicable.
The development of performance measurement systems has to start somewhere. We strongly recommend beginning with a limited set of measures that are scientifically well-grounded, relevant to the concerns of stakeholders, and feasible to implement given the current state of available data collection and information systems. The planning process should be designed to help you identify these measures. It will also serve to identify the more basic structural barriers to using performance measurement. Often, simultaneous work may be needed on structural barriers and the first stages of building a performance measurement system.
Experience can be a harsh but excellent teacher. For this reason, we also recommend learning about and staying in touch with others who are embarked on similar efforts, so you can gain from their experience as well as your own. The reverse is true: share your experiences with others.
The long-range development of performance measurement systems clearly requires investment of resources. Acquiring and maintaining those resources also means that the benefits of performance measurement be made clear to those with influence over resource allocation. Ultimately, however, development of an effective performance measurement system will require that senior officials in State Medicaid agencies, MCOs, in the community of people with disabilities, and among health care providers, make a commitment to using objective information to assess and improve our systems of care.
This Chapter presents a framework of domains of managed care performance that the project identified as critical to serving people with disabilities well. These domains permit measures to be categorized into broad topics that have been identified as important to serving the needs of people with disabilities. These domains and the example measures we present in each were based on:
The framework represents a synthesis, by project staff, of many sources of information, including existing approaches to categorizing measures. For example, quality measures were first categorized by Donabedian into three types: structure, process and outcome. Many people are familiar with this framework, but it does not address the actual content and substantive issues addressed by measures. It is therefore less useful for those trying to think about performance measurement and to select specific measures.
This framework of domains represents an ideal: it would be highly desirable to find well-grounded and usable performance measures across all the domains. However, our search for measures indicates that some domains are thinly populated compared to others. Nevertheless, it is useful to have a comprehensive set of issues and concerns to consider, even if measures do not exist today. By starting with a comprehensive set of domains, it has been possible to identify clearly the gaps in existing measures, thus providing direction for future measurement development efforts.
The nine major domains in our framework are presented first. Details and discussion of each domain follow.
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Framework of Major Domains of MCO Performance
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As noted above, quality measurements have been distinguished in terms of structure, process and outcome. The earliest quality measures emphasized structure and were typically used to give a facility a license or to accredit a program. This first domain of MCO performance also emphasizes structure, but we use here the broader term capacity. One great advantage of structural or capacity measures is that they can be used prospectively, that is before people with disabilities are enrolled in a particular MCO. They can also be used even after enrollment, to make sure that capacities are in fact present and perhaps being enhanced. Here are examples of indicators of the capacity of an MCO to take care of people with disabilities. As with all the lists in this section of the Resource Guide, these examples are not considered to be complete; you may well identify additional indicators and measures, as we have.
Note that in these examples, the emphasis is on whether the capacity is in place. We view this as a necessary, but not sufficient, condition for high performance. It is also important to determine whether these capacities are actually used and whether or not they are effective. These issues are addressed in other domains.
Access to care has long been a critical element of any assessment of a health care delivery system. When access barriers exist, people have less chance to get the services and care they need. Here are examples of indicators of access to needed services that are of particular relevance to people with disabilities; many are important to anyone.
Increasingly, Americans want to be more active in their interactions with the health care system. People with disabilities have been pioneers in pursuing a more active role and greater autonomy. In this domain, there are two levels at which it is important for MCO members with disabilities to be involved in decision making and system improvement. The first level is the individual patient's interaction with the MCO and their health care providers. The second level is the policy decisions that affect or guide a given MCO, or the entire program of care for people with disabilities.
Many, though not all, MCOs are relatively inexperienced in serving people with disabilities. For this reason if no other, it is critical to determine whether MCOs have put themselves in a position to learn quickly from their experiences and to correct their mistakes. One place where this would show is in how well they resolve the problems and concerns of particular members. In addition, as already noted, some health care needs of people with disabilities are rare or unexpected, and may only come to the surface in a crisis situation. Here are examples of indicators of whether an MCO is resolving member problems and concerns:
Extensive consumer research indicates that everyone values highly the opportunity to have high quality interpersonal interactions with people in health care systems. There is also evidence that good patient-provider relationships have a positive effect on the management of long-term conditions and on the outcomes of health care. This domain of performance is an example of one that is important to everyone and especially important to and for people with disabilities. Here are examples of indicators in this domain:
This is another domain which is important to everyone and also very important for people with disabilities. Equity considerations are of special relevance here: it is critical that those with disabilities get the services we know are effective in prevention or early identification of various diseases, even though it may take special efforts to ensure they get these services at least as often as people with no disabilities. This remark applies to our first general indicator:
Delivery of age- and gender-appropriate preventive health services.
Considerable work has been done to identify, across the age spectrum, and by gender where relevant, specific primary and secondary prevention services and interventions of known value. Many measurement systems have identified sub-sets of these services of particular importance. However, for people with disabilities, there is another kind of prevention that is important, what public health people call tertiary prevention, i.e., the prevention of unnecessary complications and unnecessary deterioration in functioning for people who already have a defined condition. Our second general indicator is relevant to this kind of prevention. Unfortunately, less work has been done to specify and bring together services which are effective in this kind of prevention, although some have certainly been identified and are already in use as performance measures.
Delivery of services to maintain and enhance functioning.
Coordination of care has been consistently identified as critical for people with disabilities. One of the greatest hopes many have about managed care is that it will do a better job of coordinating and integrating care. The examples below provide different perspectives on coordination that can all be important to people with disabilities:
This domain of performance comes closest to traditional quality assurance and quality improvement efforts. The domain emphasizes process measures, indicators that health care providers are using the right diagnostic and treatment procedures, medications, etc., in caring for their patients. To develop and select performance measures in this domain, it is essential to focus on a limited number of specific conditions that are sufficiently common to permit meaningful data collection and that have significant health consequences. These conditions can be identified in two different manners. The first is to build on the work already done by multi-stakeholder groups working with experts (see for example the Sentinel Conditions for Medicaid MCOs developed collaboratively by plans, State agencies and HCFA). Alternatively, the set of conditions could also be identified through multi-stakeholder interactions in a particular State. For these conditions, the strategy would then be to identify indicators that MCOs:
Many believe that the most significant performance measures are those that reflect the outcomes of care, that is, whether people get better and how quickly; whether their conditions are managed effectively even if they cannot be cured; whether their functioning and quality of life are maintained to the extent possible; and whether and when they die. In addition to these traditional definitions of good outcomes, which tend to be driven by the expectations of professionals, many people believe there is another important outcome of care: the degree to which patients or plan members are satisfied with the care they receive.
In spite of the acknowledged importance of medical outcomes, project staff were consistently advised, even by those who have devoted their lives to the development of outcome measures and the conduct of outcomes research, that it would not be sensible to include medical outcome measures in our list of performance measures. Outcome measures have been used primarily in highly controlled research studies, in which an identified group of individuals are carefully tracked over time to see how they respond to a new treatment, as compared to either no treatment or a more conventional treatment. Care is taken to ensure that the groups of people who get the different kinds of treatment are extremely similar to one another. This is all to ensure that any differences in outcomes can, with confidence, be attributed to differences in the treatment.
However, these controlled circumstances do not exist when MCO performance is being measured. First, there is no guarantee that the people with disabilities who enroll in one MCO are going to be at all similar to the people with disabilities who enroll in another, or who remain in Medicaid FFS or PCCM systems. Second, there is no guarantee that these people will stay in an MCO so their progress (or lack of progress) can be tracked. Finally it is important to choose performance measures that address things the MCO can strongly influence. Many factors besides medical care are known to have a strong influence on outcomes. Research studies are carefully structured to track these other influences and take them into account, but it is very difficult and expensive to set up these controls in examining a population of MCO member.
Given these considerations, this domain should emphasize that MCOs are:
Demonstrating improvements over time in the overall satisfaction, among members who have disabilities, with the plan, its providers, and the quality of care they are receiving.
In addition, MCOs can and should conduct their own outcome studies. Another indicator in this Domain would therefore be the following:
With respect to conditions of special importance to persons with disabilities, the MCO conducts studies to:
This Chapter includes measures and measurement systems that should be considered for use in assessing the performance of MCOs in serving people with disabilities. The Chapter begins by describing how measures were selected. The Chapter then presents a matrix that allows the reader to identify which major domains of measurement are addressed by each measure or measurement system. For example, if you are interested in learning about HEDIS® measures, the matrix will show which major domains of performance are, and are not, covered by these measures. After the matrix, we present, for each major domain, the specific items in the domain that are available in different measures and measurement systems. For example, if you are interested in the domain of Providing Access to Needed Services, you should consult this section to get a quick overview of the specific access measures available. Based on these summaries, we then comment briefly on which domains have extensive measures and which do not, with recommendations for measurement development.
The Chapter then moves to details about each measure. A standard set of information is presented for each measure, and these items of information are described to orient the reader. Finally, each measure or measurement system is presented.
The measures in the Resource Guide were identified through an extensive search process that included the following:
In selecting the measures to be included in the Resource Guide, we used the following criteria:
All the measures do not meet all these criteria. Criteria in boldface are met by all measures in the Guide. With respect to other criteria, some measures rate more highly than others, the Guide includes information that permits readers to make their own assessments on these criteria. A few measures are not available as we go to press, but are expected to be available very shortly.
Table 1 below matches each of the five measurement systems to the nine quality domains we have created. The following is a listing of the measurement systems and their abbreviations as referenced in the table:
| TABLE 1: Summary Matrix of Domains Addressed in Each Measure | |||||
|---|---|---|---|---|---|
| Domains | Measures | ||||
| HEDIS® | PERMS | CAHPS | Oregon | Picker | |
| 1. Creating a System with the Right Capacities | X | - | X | X | - |
| 2. Providing Access to Needed Services | X | X | X | X | X |
| 3. Supporting Member Involvement in Decision Making and System Improvement | - | - | X | - | X |
| 4. Resolving Problems and Concerns | X | - | X | X | X |
| 5. High Quality Interpersonal Interactions Between Members and Providers | - | - | X | X | X |
| 6. Using Preventive Services to Keep Members Healthy and Functioning | X | - | X | X | - |
| 7. Coordinating and Integrating Medical and Non-Medical Services | X | - | X | X | X |
| 8. State of the Art Treatments | X | X | - | X | X |
| 9. Improving the Outcomes of Care | X | X | X | X | X |
In this section, we list, for each domain in our framework, the specific items that are measured in each measure or measurement system included in the Resource Guide. Detailed descriptions of these measures and measurement systems can be found in Section F below.
HEDIS®
CAHPS
Oregon Health Plan Survey
HEDIS®
PERMS
CAHPS
Oregon Health Plan Survey
Picker Institute Surveys
CAHPS
Picker Institute Surveys
HEDIS®
CAHPS
Oregon Health Plan Survey
Picker Institute Surveys
CAHPS
Oregon Health Plan Survey
Picker Institute Surveys
HEDIS®
CAHPS
Oregon Health Plan Survey
HEDIS®
CAHPS
Oregon Health Plan Survey
Picker Institute Surveys
HEDIS®
PERMS
Oregon Health Plan Survey
Picker Institute Surveys
HEDIS®
PERMS
CAHPS
Oregon Health Plan Survey
Picker Institute Surveys
The preceding summary of the specific measures available in each domain reveals clearly that in certain domains there is a rich and varied choice of measures, while in others there are relatively few measures. There is an especially wide choice of measures in these areas:
Research has indicated that these two areas are of special importance to all kinds of patients and consumers, in the context of managed care, and they are certainly of importance to people with disabilities. In addition, it is easy to gather data on these topics from patients and consumers themselves, who are often in the best position to provide useful information on these topics.
There is a reasonable number of measures available in these two areas:
These two areas have been a focus of a good deal of measurement development efforts that build on the foundations of measurement of clinical quality of care. However, there is still work needed in these areas to develop measures that address conditions and concerns specific to people with disabilities, including more and better measures of mental health and developmental problems. In contrast, there are relatively few measures available in Domain 9, Improving the Outcomes of Care. As noted earlier, there are methodological difficulties in applying traditional clinical outcome measures in the assessment of the outcomes of care for a population of members in MCOs. In the early stages of the process of measuring the performance of MCOs in caring for people with disabilities, other arenas may therefore have higher priority for new measurement development.
In particular, the scarcity of measures in the following areas is of concern:
Several of these domains can and often are addressed by looking at MCO structures. Chapter Five includes several criteria sets that specify structural and procedural characteristics of MCOs that are believed to be necessary, if not sufficient, for the delivery of high quality care to people with disabilities. As we note, criteria are not, in and of themselves, measures, but the judicious use of structural criteria can help to complement other measures.
However, some aspects of these domains cannot be addressed simply in structural terms. First, we need to know if structures are not only in place, but working to meet the needs of people with disabilities. Second, some aspects of these domains go beyond structural issues. Project staff believe that it is especially critical that priority be given to measurement development in the following areas:
The following information is presented below, wherever it is available, for each measure and measurement system in the Resource Guide:
Name of Measure: The formal name of the measure or measurement system
The Author or Organization That Developed the Measure: This would include the key contact person and location information for where to get a complete copy of the measure and any documentation that is available for the measure.
Domains of Performance Addressed by the Measure: Many of the measures in the Resource Guide address more than one of the domains of performance we have discussed in Chapter Two, Section E. We will list each of the domains of performance to which the measure is relevant and usually give examples of specific items or indicators in each domain that are addressed in the measure.
Data Collection Strategies Required for Use of the Measure: This includes the following issues:
What Evidence is Available to Support the Validity and Reliability of Measure: The Guide summarizes evidence drawn from the process of developing the measure and/or from psychometric testing of the measure that indicates that it is likely to be valid and reliable.
What Are the Populations and Settings in Which the Measure Has Been or Could Be Used: Very few performance measures have been developed specifically to assess care for people with disabilities. This section provides information on the populations and settings for which the measure was originally developed, and where it has been used, and gives an assessment of the additional populations or settings where it could be used.
What Written Documentation is Available to Support Use of Measure: This section lets the reader know whether there is written documentation that can be used in implementing the measure, and the level of detail of this documentation.
What Consultation is Available to Support Use of Measure: This section indicates whether technical consultation is available, from the original developers of the measure or from others, about its use. When consultation is only available at a charge this is noted.
Limits on Use of the Measure: This final section presents any limitations on the use of the measure, or on the interpretation of results, that need to be taken into consideration in a performance measurement context.
HEDIS® is one of the most well-known performance measurement systems for MCOs. It is a measurement system that includes dozens of specific measures. We have selected, from HEDIS® 3.0, those measures that are most relevant to assessing the performance of MCOs in caring for persons with disabilities.
Name of Measurement System: HEDIS®3.0
Author/Developer: National Committee for Quality Assurance (NCQA), 2000 L Street, N.W., Suite 500, Washington, D.C. 20036, Phone (202) 955-3500
NCQA is a non-profit organization formed specifically for the purpose of assessing and improving the quality and performance of health maintenance organizations. It is governed by a Board of Directors that includes representatives from purchasers of health care, from MCOs, and from the public. NCQA began its work by developing standards for the independent accreditation of HMOs. It then moved into performance measurement, with the HEDIS® system. HEDIS® 3.0 includes measures considered relevant for the commercially insured population, for people on Medicaid, and for people on Medicare. It was developed by the NCQA Committee on Performance Measurement (CPM), whose membership mirrors that of the NCQA Board.
Domains of Performance Addressed by the Measure:
HEDIS® 3.0 measures are organized by NCQA into sub-sets which do not map with our domains. We have chosen specific measures from several sub-sets, including the following: (1) effectiveness of care; (2) health plan descriptive information; (3) health plan stability; and (4) use of services. Using our domains of performance, we will list the specific HEDIS® 3.0 measures we recommend:7
Domain 1. Creating a System with the Right Capacities
Domain 2. Providing Access to Needed Services
(Note: Utilization rates can only be interpreted if there is a well-grounded standard for determining what the "correct" level of utilization should be for a given population of individuals. For example, if utilization rates are compared over time or across plans, there needs to be confidence that the rate at which members in different plans need a specific service is very similar. Even in that cases, only wide disparities would generate cause for concern.)
Domain 4. Resolving Problems and Concerns
Domain 6. Using Preventive Services to Keep Members Healthy and Functioning
Domain 7. Coordinating and Integrating Medical and Non-Medical Services
Domain 8. State of the Art Treatments
Domain 9. Improving the Outcomes of Care
Data Collection Strategies Required for Use of the Measure:
Type of Data Collection
The measures