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Nursing effort and the exchanging human response pattern.

M B Happ, M E Kerr

Nursing Diagnosis : ND : the Official Journal of the North American Nursing Diagnosis Association

|October 1, 1991

Summary

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Nurses prioritize actual nursing diagnoses in medical-surgical settings, while postpartum care focuses more on potential diagnoses. This highlights differences in nursing effort allocation across specialties.

Area of Science:

Nursing
Healthcare Management
Patient Care

Background:

Nursing diagnoses are crucial for effective patient care.
The Exchanging Human Response Pattern encompasses diagnoses related to interpersonal interactions.
Understanding nursing effort allocation is key to optimizing resource management.

Purpose of the Study:

To compare nursing effort for actual and potential nursing diagnoses within the Exchanging Human Response Pattern.
To examine differences in nursing resource allocation between acute medical-surgical and postpartum care settings.

Main Methods:

A descriptive, comparative study design was employed.
Data were collected from 50 patients (33 postpartum, 17 medical-surgical) over 200 observations (hospital days).

Related Experiment Videos

An investigator-developed version of the Nurse-Patient Summary (NPS) tool was used for daily data collection by direct care nurses.

Main Results:

Potential nursing diagnoses received the majority of nursing effort in postpartum care (mean effort = 5.28).
Actual nursing diagnoses in the Exchanging Human Response Pattern received higher priority in medical-surgical care (mean effort = 12.03).
Statistically significant differences were found in total nursing effort and effort for actual and potential diagnoses between the two groups (p < .0001).

Conclusions:

Nursing effort allocation varies significantly between medical-surgical and postpartum specialties.
Nurses prioritize actual diagnoses in medical-surgical settings, while potential diagnoses dominate in postpartum care.
Findings offer insights for developing diagnosis-based patient classification systems and optimizing nursing resource allocation.