A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Are trust and satisfaction similar in dental care settings? | LitMetric

Are trust and satisfaction similar in dental care settings?

Community Dent Oral Epidemiol

Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, SA, Australia.

Published: December 2020

Objectives: Trust and satisfaction in dental care settings are salient constructs to operationalize the concept of dentist-patient relationships (DPR). This study aimed to compare the similarity of both constructs with regard to factor structure and revise the scales for better psychometric properties.

Methods: Data analysed in the study were collected in self-complete questionnaires from a random sample of 4011 adults living in South Australia. Trust and satisfaction were assessed using the Dentist Trust Scale and the Dental Care Satisfaction scale. Items in the scales were initially examined with a split-half sample in exploratory factor analysis and cluster analysis. Factor structures of different model designs were tested on the other half sample in confirmatory factor analysis. The final model was cross-validated on the first half sample for structural invariance.

Results: Exploratory factor analysis revealed a three-factor structure consisting of 'trust', 'satisfaction' and 'distrust/dissatisfaction' (60.2% of the variance explained; Cronbach's α = 0.94, 0.81, 0.73, respectively). Cluster analysis supported the factor solution with the same three major clusters except for a single-item independent branch of the 'cost' domain from the satisfaction scale. The final model was designed with two correlated but distinct factors, 'trust' and 'satisfaction', with the modification of one inter-item covariance and deleting the least associated item (GFI = 0.96, CFI = 0.98, RMSEA = 0.06). The stability of the final model was achieved through cross-validation (P = .143, ∆CFI < 0.001).

Conclusions: Trust and satisfaction in dental care settings are unidimensionally different yet highly correlated factors concurrently. Demonstrating the discriminant and complementary functions of both constructs can justify the rationale to apply them together in further studies for DPR.

Download full-text PDF

Source
http://dx.doi.org/10.1111/cdoe.12559DOI Listing

Publication Analysis

Top Keywords

trust satisfaction
12
dental care
12
factor analysis
12
final model
12
satisfaction dental
8
satisfaction scale
8
exploratory factor
8
cluster analysis
8
half sample
8
'trust' 'satisfaction'
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!