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R P Caterinicchio

Publications and source records attributed to R P Caterinicchio.

10 recordsLinked to original sources

Integrated concurrent utilization quality review, Part one.

This article is the first of a two-part series which argues for the concurrent management of the appropriateness, necessity, and quality of patient care. Intensifying scrutiny by the credentialing groups, the PROs and all third-party payors underscores the vital need to implement cost-effective information systems which integrate the departmentalized functions of patient-physician profiling, DRG case-mix analyses, length of stay monitoring, pre-admission/admission and continued stay review, discharge planning, risk management, incident reporting and quality review. In the domain of physician performance regarding admitting and practice patterns, the ability to exercise concurrent utilization-quality review means early detection and prevention of events which would otherwise result in denials of payment and/or compromised patient care. Concurrent utilization-quality review must, by definition, be managerially invasive and focused; hence, it is integral to maintaining the integrity of the services and product lines offered by the provider. In fact, if PPO status is a marketing agenda, then the institutional objectives of cost-effectiveness, productivity, value, and competitiveness can only be achieved through concurrent utilization-quality review.

Concurrent Review↗

The elements of a concurrent integrated UR-QR management system, Part two.

The previous discussions obviously lend credibility to the construct of concurrent integrated UR-QR management. DRG prospective payment obviously accelerates the need for coordinated interdepartmental UR-QR management so that managers are in positions to control the units of service. The value of concurrent integrated UR-QA management is patent in supporting the institutional mission of fiscal solvency under DRG prospective payment. However, very few acute care facilities have such programs in place; the rule is to departmentalize the components of UR and QR at the expense of efficiency, cost-effectiveness and problem resolution.

Diagnosis-Related Groups↗

Relative intensity measures: pricing the inpatient nursing services under diagnosis-related group prospective hospital payment.

A sample survey (N = 2660) was conducted at eight acute care hospitals in New Jersey during an 11-month period between 1979 and 1981 in order to develop a client-focused, case-mix sensitive measure of resource use for the allocation of inpatient general nursing costs. Using general linear modeling techniques, the direct and indirect effects of age, length of stay, multiple diagnoses, multiple procedures, the ratio of special care unit days to length of stay, and the effects of the presence of surgery, admission status, discharge status, and membership in Major Diagnostic Categories on indexed total units of nursing service were explored. The results of the analysis suggested that length of stay is the most significant predictor of indexed nursing units of service regardless of age and the complexity of the medical problem when case-mix is controlled through the assignment of cases to 13 nursing services isoresource clusters. The methodology yields an empirically derived patient-specific, case-mix adjusted length of stay statistic which can be used to apportion nursing costs by the case. The approach permits the estimation of nursing units of service which reflect the relative amount of nursing inputs and corresponding costs of direct patient care consumed by any given inpatient in any given hospital.

Cost Allocation↗

Developing a client-focused allocation statistic of inpatient nursing resource use: an alternative to the patient day.

A sample survey (N = 2660) was conducted at eight acute care hospitals in New Jersey during an 11-month period between 1979 and 1981 in order to develop a client-focused, case-mix sensitive measure of resource use for the allocation of inpatient general nursing costs. Using general linear modelling techniques, the direct and indirect effects of age, length of stay, multiple diagnoses, multiple procedures, the ratio of special care unit days to length of stay and the effects of the presence of surgery, admission status, discharge status and membership in Major Diagnostic Categories on indexed total units of nursing service were explored. The results of the analysis suggested that length of stay is the most significant predictor of indexed nursing units of service regardless of age and the complexity of the medical problem when case-mix is controlled through the assignment of cases to 13 nursing services isoresource clusters. The methodology yields an empirically derived patient-specific, case-mix adjusted length of stay statistic which can be used to apportion nursing costs by the case. The approach permits the estimation of nursing units of service which reflect the relative amount of nursing inputs and corresponding costs of direct patient care consumed by any given inpatient in any given hospital.

Cost Allocation↗

Implementing a DRG-driven acuity system for nurse staffing under prospective hospital payment.

The "DRG-Nursing Unit Manager" is a multifunctional microcomputer software product designed for the effective management of nursing under a DRG prospective payment environment. The system's signature is its simplicity and versatility, and will prove to be a significant management tool for the nursing department. Written to execute on the IBM-PC-XT microcomputer, the nurse can start an application, enter patient demographics, assign Major Diagnostic Category (MDC) and Diagnosis Related Group (DRG) numbers, or make report selections. With a minimal amount of keyboard usage the system collects and saves key data fields, retrieves nursing measures and length of stay norms, and produces reports on a demand basis. The primary report produced by the system is a patient census listing with expected nursing intensities per patient for the next shift which is converted to a staffing projection for the upcoming three shifts for the existing census. The system also allows the costing out of nursing services and produces charge-equivalent statistics so that the nursing station can function as a revenue-producing center. Such an approach permits the identification of DRGs which are "winners" or "losers" under routine care costs.

Computers↗