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S Jencks

Publications and source records attributed to S Jencks.

6 recordsLinked to original sources

Quality improvement activity directed at the national level: examples from the Health Care Financing Administration.

Quality improvement projects coordinated by the Health Care Financing Administration (HCFA) are currently underway to improve the care provided to Medicare beneficiaries. We describe five national quality improvement projects, the End Stage Renal Disease Core Indicators Project, the National Anemia Cooperative Project, the Ambulatory Care Quality Improvement Project, and the Cooperative Cardiovascular Project. We outline the types of intervention strategies employed and compare the approaches used for fee-for-service sites and for managed care plans.

Ambulatory Care↗

The use of Health Care Financing Administration data for the development of a quality improvement project on the treatment of anemia.

The Health Care Financing Administration maintains a wide array of data systems that are essential to the functioning of the Medicare program. These data, collected and maintained for the purposes of ensuring entitlements and payment for services, also can be used to monitor programmatic changes and to define potential problem areas. The end-stage renal disease (ESRD) Program Management and Medical Information System (PMMIS) is a subset of the larger Medicare statistical system. It is a historic record of all Medicare ESRD beneficiaries dating back to 1978. Basic Medicare enrollment information on ESRD beneficiaries is enhanced with the addition of information on the cause of renal failure, type of dialysis therapy, transplantation history, and cause of death. The ESRD PMMIS has been put to a number of uses in the past decade or so, ranging from basic descriptive epidemiology to analyses of mortality rates to assessments of programmatic issues such as the composite rate and dialyzer reuse. Because of the limited clinical detail in the PMMIS, there are many specific questions that cannot be adequately addressed. With approval of the Food and Drug Administration and Medicare coverage of erythropoietin, a erythropoietin monitoring system was developed to assess utilization trends of this anemia control drug. Within a few months it became evident that dosing levels for erythropoietin were much lower than expected from the clinical trials. Following a change in the payment method from a fixed amount to one based on dose level, dosing has increased markedly. However, hematocrit levels still remain below optimal levels. This lack of hematocrit response has led the Health Care Financing Administration, in concert with the renal community, to target anemia control as a potential health care quality improvement project. This paper presents an example of the type of data presentation that can be derived from the current PMMIS. The Health Standards and Quality Bureau has made a commitment to a program of continuous quality improvement. Part of this process is the provision of descriptive data that can be the starting point for an iterative approach to quality improvement.

Anemia↗

Prospective payment for psychiatric hospitalization: context and background.

Retrospective cost-based reimbursement, incorporated into Medicare from the outset, has been the dominant mode of financing for health and mental hospital services. However, steadily rising health care costs led to the 1983 enactment of a prospective payment system for hospital reimbursement for Medicare, based on diagnosis-related groups. Many psychiatric hospitals and units are currently exempted from the system, but psychiatry and the health care field in general must deal with a number of issues, such as cost-shifting, quality of care, and adequate recognition of severity of illness, resulting from implementation of the system. The authors provide background for the prospective payment system by defining terms, summarizing the history of federal prospective payment legislation, describing three state systems, and discussing generic issues facing the health care community.

Cost Control↗

Predicting hospital-associated mortality for Medicare patients. A method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure.

We created a microcomputer-based system that uses characteristics of the patient at admission to predict death within 30 days of hospital admission for Medicare patients with stroke, pneumonia, myocardial infarction, and congestive heart failure. These conditions account for 13% of discharges and 31% of 30-day mortality for Medicare patients over 64 years of age. The system was calibrated on a stratified, random sample of 5888 discharges (about 1470 for each condition) from seven states, with stratification by hospital type to make the sample nationally representative. The predictors must be specially abstracted from the medical record. The cross-validated R2 for predictions is 0.14 to 0.25, which is better than the values for other systems for which we have data. Risk-adjusted predicted group mortality rates may be useful in interpreting information on unadjusted mortality rates, and patient-specific predictions may be useful in identifying unexpected deaths for clinical review.

Aged↗