A Community of Exceptional Nurses
Rosemary K. Doble, RN, Martha A.Q. Curley, RN, PhD, CCNS , Eileen Hession-Laband, RN, MBA , Barbara L. Marino, RN, PhD , Susan M. Shaw, RN, MS
As we venture into the 21st century, we reflect on the changes in healthcare. The fee-for-service system has been replaced with managed care, and today healthcare systems across the United States are trying to maintain quality while struggling for fiscal survival. Even so, healthcare dollars account for a growing percentage of the gross domestic product. (1) Because nursing salaries account for a sizable part of healthcare costs, nurses are challenged to articulate their value as healthcare professionals in this cost-contained environment. Nursing, however, has yet to describe the experience of quality care or find a way to succinctly and reproducibly measure such care. (2) Now is the time to link nursing practice to patients' needs by using a language that is universally understood across the healthcare system, especially to payers of nursing services. In this article, we describe a project in which the Synergy Model was used to link nursing care to diagnosis-related groups (DRGs), the basis of the established method of reimbursement and the language used by payers.
Nursing productivity is typically measured for staffing and budgetary concerns and to describe and quantify nursing practice and the outcomes of nurses' services. (3) Historically, nursing care has been prospectively measured by using one of several highly subjective systems for classifying patients. These tools typically describe the amount of time nurses spend on tasks; for example, time needed to complete a bed bath or to take vital signs. Not considered is the amount of time a nurse needs to get to know a patient in order to create a safe environment and plan the care that eventually becomes visible and thus measurable.
In the late 1980s, researchers at Yale University School of Nursing evaluated the nursing intensity measures used in 9 hospitals. (4) Daily classifications of patients and DRG information accumulated over patients' entire length of stay (LOS) were considered. In cross-hospital comparison, the Yale researchers found wide variability in the nursing time attached to care of patients, but considerable consistency was apparent in the nursing intensity within each DRG. (4)
The work of the Yale study was expanded by the Resource Information Management System / Nursing Acuity Project. (5) Its purpose was to use existing data to develop a system for classifying patients' severity of illness that could be used in management decisions, such as resource allocations and staffing decisions. Diers and Bozzo (5) formed a panel of nurse experts from the varied disciplines at Yale New Haven Hospital. Because patients in intensive care units (ICUs) usually require more nursing resources and often experience longer LOS than do patients in other units, nurse experts were separated into an ICU group and a non-ICU group.
A list of DRGs was compiled from the medical records of patients discharged the previous year. The nurse experts assigned either a "high" or "not high" rating to each DRG, depending on nursing care requirements, and then sorted these 2 categories into 5 intensity clusters, with level 1 being the least intensive care and level 5 being the most intensive care. A sixth cluster was created for patients whose needs were extreme. (5) Then, an hour standard was attached to each level to indicate how much nursing time was required to meet the needs of the patients.
Children's Hospital in Boston went a step further in its Nursing Resource Measurement project by using the Synergy Model to give nursing experts a common language to describe patients' needs and the nursing competencies required by pediatric patients within each DRG. "The fundamental premise of [the Synergy Model]...is that patients' characteristics drive nurses' competencies. When patients' characteristics match and synergize, patients' outcomes may be optimized." (2, p64)
The Children's Hospital task force was charged with addressing the issue of measuring nursing intensity. Because the project would eventually describe patients' care needs across the healthcare system, broad representation on the task force was sought. A nurse researcher, several program directors, and advanced practice nurses brought their expertise in clinical measurement, management, and clinical practice; a nursing project manager brought database and informatics expertise; and the finance officer was asked to participate.
Once the task force had developed the framework of the project, the Nursing Resource Measurement group was formed with clinical experts in specialty areas: level 3 staff nurses or clinical coordinators. As with the earlier projects, an ICU group and a non-ICU group were formed. The ICU group included nurses from the multidisciplinary ICU, newborn ICU, cardiac ICU, and the bone marrow transplant unit. The non-ICU group consisted of representatives from all specialty inpatient units, including neurology, orthopedics, cardiology / cardiac surgery, general surgery, oncology, and general medicine.
The nurse experts used an expanded model of the traditional DRG system to better include children and infants who require acute care - the All Patient Refined - DRG (APR-DRG) system - which addressed patients- severity of illness (the extent of physiological decompensation) and risk of mortality (the likelihood of dying). The APR-DRG system included 4 severity of illness / risk of mortality subclass ratings for each DRG: 1, minor; 2, moderate; 3, major; 4, extreme.
Data sheets for each level of each APR-DRG were designed to provide a profile of the group of patients being categorized (Table 1). Each data sheet included the number and name of the APR-DRG, levels 1 to 4, numbers of patients with that DRG over a year's time, percentage of patients who were cared for in the ICU, percentage who died, associated primary diagnoses and secondary diagnoses, primary and secondary procedures, age group, and mean and range for LOS.