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K M Luther

Publications and source records attributed to K M Luther.

6 recordsLinked to original sources

Moving out of the red zone: addressing staff allocation to improve patient satisfaction.

BACKGROUND: Each summer, Hermann Hospital (Houston), like virtually all health care organizations, faces staffing challenges because of employee vacations, increased patient load, and staff turnover. A "zone" system was developed to address staff allocation, which was identified as a factor in deterioration of the hospital's patient satisfaction performance. ZONE SYSTEM: Every day, each unit or department designated the zone most appropriate based on factors identified in root cause analysis--high patient census, high patient acuity, emergent activity, and the number of float, agency, or unfamiliar staff members. A green zone defines conditions where the staff is very comfortable; yellow reflects increased activity; and red indicates that staff members are stressed and overwhelmed with patient needs. ACTION STEPS: Management's action steps included decreasing the nursing vacancy rate to minimize reliance on agency and float staff members and securing longer-term commitments from temporary staff members. Individual units also generated contingency plans, such as identifying a "partner unit" to provide shared staff members, supplies, and other assistance. RESULTS: The percentage of patients rating their overall experience at Hermann Hospital as "good" or "excellent" increased from 83% in August 1997 to 89% in August 1998, despite increases in admissions, patient days, operating room cases, and emergency department visits. DISCUSSION: The zone system provides a rapid way to quantify contributing factors to patient dissatisfaction and respond to them. Hermann Hospital is currently developing a broader zone system to include staff vacancy rates by departments, areas of increased patient census for prolonged periods, and balancing episodic zones with prolonged zones.

Hospitals, General↗

Data-driven interventions to improve patient satisfaction.

The way patients view their care, as measured by their reported satisfaction, has far-reaching implications for managed care and outcomes monitoring. By understanding what is most important to their patients, nurses can modify their care to improve satisfaction. Data from surveys, complaint management programs, and other sources can be used to define particular needs of patients, develop programs to address those needs, and monitor improvement.

Data Collection↗

Patient satisfaction report paves way to improved care.

In this article, the second in a two-part series, we show how a data-driven clinical model was implemented to improve care using patient satisfaction reports. Last month, we outlined the essential components of a data-driven clinical model and summarized two research paradigms that provide the theoretical foundation for such a model.

Data Collection↗

Development of an outcome/variance tracking tool for sedation and non-surgical procedures.

A large academic cancer center devised a performance improvement plan for special procedures and sedation. A group of interdisciplinary professionals convened to address data collection, complications, and outcomes for non-surgical procedures and sedation. Administrative, medical, and nursing representatives from all areas in which these procedures are performed gathered to assess existing data and data collection methods and to develop an improvement plan. Gastroenterology, pulmonary, diagnostic imaging, intensive care, gynecology, genitourinary, hematology, and anesthesiology specialties were represented. The group was facilitated by staff from the institution's Office of Performance Improvement and co-chaired by an anesthesiologist and a pulmonary specialist. A representative from the Practice Outcomes Department was also an active participant. This article describes group process, design efforts, pilot testing, and analyses for this project. Pilot data are presented as well as a discussion of staff involvement.

Procedural Sedation↗