Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Symptom Assessment And Management In Patients With Heart Failure, Kyoung Suk Lee Jan 2012

Symptom Assessment And Management In Patients With Heart Failure, Kyoung Suk Lee

Theses and Dissertations--Nursing

Patients with heart failure (HF) must monitor and recognize escalating symptoms to manage worsening HF in a timely manner. However, routine symptom monitoring is not commonly performed by this population.

Providing a symptom diary along with an education and counseling session may help HF patients promote symptom monitoring and interpretation. The accumulated information about changes in daily symptoms will allow patients to easily compare current symptom status to the past without depending on memory and can rapidly capture worsening HF. To date, few studies have tested the effect of a daily symptom diary.

The purpose of this dissertation was to …


Developing A Model Of Client Satisfaction With A Rehabilitation Continuum Of Care, Melba G. Custer Jan 2012

Developing A Model Of Client Satisfaction With A Rehabilitation Continuum Of Care, Melba G. Custer

Theses and Dissertations--Rehabilitation Sciences

Client satisfaction is an important outcome indicator because it measures multiple domains of the quality of healthcare and rehabilitation service delivery. It is especially important in occupational therapy because it is also client-centered. There are multiple domains of satisfaction and findings described in previous research; however, there is no single standard of measuring client satisfaction or any single working model describing the relationship among variables influencing satisfaction. This research was designed to apply a measure of satisfaction in rehabilitation and to develop a working model of satisfaction.

This study was an exploratory and predictive study using a large existing dataset …