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Grant Number: R03 HS11407
RFA/PA: PAR00-076 - Grants on Health Services Dissertation Research
PI Name: SWANSON, KAREN
Project Title: Patient Satisfaction for Depressed Patients in Primary *
Abstract:
SWANSON, KAREN A
UNIVERSITY OF CALIFORNIA LOS ANGELES, LOS ANGELES CA
Patient Satisfaction for Depressed Patients in Primary *
R03 HS11407-01
02/01/01
There is little research on predictors of patient satisfaction with health care
for the 19 million Americans who are diagnosed with major depression and no
research on whether these predictors differ by gender for this group. Patient
satisfaction is thought to be a key quality of care indicator and is a central
health plan performance measurement for the Health Plan Employer Data and
Information Set (HEDIS) and the Foundation for Accountability (FACCT). It is
conceptualized as combining patient assessments of technical competency
(appropriate care) and interpersonal aspects of care (patient-provider
relationship), though consumers may have difficulties in distinguishing the two
when assessing satisfaction with health care. The main objective of this study
is to test whether patient satisfaction is determined by both types of quality
of care for people who are diagnosed with major depression and if there are any
gender differences in this relationships. In turn, it is also a main objective
to understand if provider switching is a consequence of patient dissatisfaction
with care. The long-term objective is to help health plans understand what
predicts satisfaction with care so they can target and restructure care, know
if there are gender differences in satisfaction, and whether provider switching
is a consequence of patient dissatisfaction.
The data for this research are from the Quality Improvement for Depression
(QID) study, a large national study of 1,481 patients diagnosed with clinical
depression in a variety of managed care settings that provides information on
patient sociodemographics, health status,, visits, attitudes, behavior and
satisfaction with health care every six months for a period of 2 years. Data
from baseline and six months are available for the following set of specific
aims that are not covered for funding under the original QID grant.
Specific Aim 1: To determine the effect of quality of care on overall patient
satisfaction and patient satisfaction with mental health care.
Specific Aim 2: To determine the bidirectional effect of provider switching on
patient satisfaction.
Specific Aim 3: To develop a comprehensive predictive model of patient
satisfaction and determine if predictors differ by gender.
These aims lead to a set of hypotheses that are based on the Donabedian Model
of Structure-Process-Outcomes and the Andersen Behavioral Model of Health
Services Use. The hypotheses of these aims will be tested using multiple
logistic regression.
Fiscal Year: 2001
Department: UNIVERSITY OF CALIFORNIA LOS ANGELES
Project Start: 07/01/2001
Project End: 06/30/2002
Accession Number: PB2003-100063 (http://www.ntis.gov)
IRG: HCRT
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