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Results for “Progressive Patient Care”

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At least 19 recordsLinked to original sources
PubMed1968

Experiment in progressive patient care.

A successful experiment is described in providing total progressive patient care in a small hospital. This was based on dividing ward services into nursing and "hotel" services, the latter being provided by a housekeeping team. Patients were divided into three categories according to the amount of nursing care needed, and two wards were converted, one into an intensive care unit, the other into a homeward bound unit, with high and low nurse/patient ratios respectively.

Female↗
PubMedDate not supplied

Elements of progressive patient care in the Yale Health Plan HMO.

The results of a study of the use of intermediate care beds in the intermediate care facility (ICF) of the Yale Health Plan, a prepaid group practice plan for students and an enrolled non-student population, indicate that the ICF may be a possible model for other health maintenance organizations. The ICF, with 30 beds in active use, is located in the Yale health center. Approximately one-third of the ICF patients would have been admitted to the affiliated short-term general hospital if the ICF did not exist. The plan's medical staff also has the option of transferring patients between the affiliated hospital and the ICF, depending on which institution is most appropriate for the patient's needs. A comparison of the levels of care provided in the ICF with those presented in selected articles from the progressive patient care literature revealed that the ICF is not only providing intermediate care but several other classic elements of progressive patient care -self care, continuing care, minimal care, and partial care.

Connecticut↗
PubMed1980

Analysis of capacity decisions for progressive patient care hospital facilities.

In this study we provide a methodology for investigating the relationships between capacity decisions and selected performance measures for a progressive patient care facility. The methodology is illustrated with published data from a coronary care facility. The facility is modeled using a simulation approach. The utilization rate of each unit, the fraction of transfers blocked in each unit, and the proportion of each unit's patient-days resulting from inappropriate use are determined for a range of capacity levels. Finally, the results of this experimentation are transformed by regression analysis into prediction equations that give insight into the sensitivity of these performance measures to capacity levels and provide a useful tool for guiding resource allocation decisions.

Coronary Care Units↗