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A variety of situations in health services research demand the use of some type of case-mix or acuity adjustment, that is, adjustment made on the basis of the characteristics of those receiving services. Case-mix adjustment is crucial in reimbursement for health services, especially in any prospective reimbursement model. For example, the services needed by an 80-year-old diabetic with arterio-sclerotic heart disease who is admitted to a hospital for an acute exacerbation of congestive heart failure will differ dramatically from those required by a 25-year-old athlete admitted for repair of a torn knee ligament. Equitable and effective reimbursement models must take such differences into account. The first widely used case-mix adjustment system was the Diagnosis Related Groups (DRGs) used by Medicare since 1983, which paid a specific amount for acute care depending on a hospital patient's discharge diagnosis, gender, age, procedures, and comorbidities.

Any attempt to analyze individual health outcomes also requires researchers to include in their models those individual characteristics that affect a patient's likelihood of a better or worse outcome. The likelihood of in-hospital mortality will differ dramatically between a patient who has fallen and sustained a serious closed health trauma and a similar patient whose fall resulted in a hip fracture. These types of adjustments are also necessary when one analyzes some measures of process quality. The presence or absence of specific care practices may depend on the severity of one's illness.

Finally, case-mix adjustment is crucial when one attempts to measure provider performance, either for quality assurance or some pay-for-per-formance model. Mortality rates in tertiary care hospitals may be higher than mortality rates in community hospitals due to the differing nature of their patient populations. Failing to adjust for those differences may significantly distort one's judgment concerning differences in the quality of care provided by those two types of acute care settings.

Nursing Home Example

The Medicare resource utilization group (RUG) models used in nursing homes are examples of case-mix classification systems used for reimbursement. The steps in the development of the RUG models are the same as those that might be used in any healthcare setting. First, a sample of nursing homes (i.e., healthcare providers) is selected for participation in the development of the classification model. The sample must meet minimum quality criteria. Second, researchers conduct a time study in the chosen nursing homes, in which each staff member or caregiver records how they spend all their time over a 1- to 3-day period. The care time provided by each type of staff member (e.g., registered nurse, nurse aide) will eventually be weighted by his or her relative salary level. Third, at roughly the same time, each resident in the selected nursing homes is assessed using a multidimensional assessment tool that evaluates his or her need for care. Fourth, statistical analyses are performed on the data concerning roughly half to two thirds of the residents. These analyses result in the identification of groups of residents who received roughly the same amount of wage-weighted care time and had relatively similar health problems or levels of impairment. The degree to which these groups explain the statistical variation in weighted care time is an important criterion for choosing among potential classification models. In nursing homes, for example, these models usually explained between 50% and 70% of the statistical variance in weighted care time. Fifth, the chosen patient classification model is validated on data from the remaining residents. Sixth, one group of residents is chosen to serve as the index group and given a case-mix index of 1.0. Every other group of residents is assigned a case-mix index that reflects the relative average weighted care time provided to that group compared with the average weighted care time provided to the index group. Seventh, in some instances (RUG-III), case-mix indexes are adjusted, based on clinical judgments. Finally, the case-mix index for the group into which a patient falls can then be used to adjust all, or a portion of, the payment for that provider's services to that patient.

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