The Influence of Hospital Trust and Service Quality to Patient
Satisfaction and Loyalty
Wilujeng Puja Sari
1
, Naili Farida
2
and Sutopo Patria Jati
2
1
Student of Master’s Study Program in Public Health, Diponegoro University, Semarang, Indonesia
2
Teaching staff of Master’s Study Program in Public Health, Diponegoro University, Semarang, Indonesia
Keywords: Trust, Service Quality, Satisfaction, Loyalty.
Abstract: The purpose of this paper is to analyse how trust and service quality influence satisfaction that lead to patient
loyalty. This research used a quantitative methodology. In total, 100 patients participated from outpatient
departement in referal center hospital of Central Java, Semarang, Indonesia. The data was collected using a
survey method with a questionnaire. The data was analyzed using SEM with smartPLS3.0 software. The
reserach demonstrated that hospital trust has no significant impact on patient satisfaction. However, the result
also found that service quality has a positive influenced on patient satisfaction and patient satisfaction has a
positive influenced on loyalty. This research was performed only in one healthcare service provider in
Semarang so the result is less representative of the population in general. This study could be an input towards
hospital managers to generate effective strategies in their effors to improve patient satisfaction and loyalty.
1 INTRODUCTION
The presentation of high quality service is the key to
success in the service industry at this time. In an era
with a high level of competition, the efforts of the
monitoring and improvement of the quality of service
are required for improving efficiency as well as the
volume of business (Meesala and Paul, 2018). The
healthcare service is a vital sector that has great risks
in some potential cases so the ability to create trust in
the hospital rated extremely important. Trust in the
healthcare service determined by many factors such
as the customer's attitude toward the brand, perceived
quality, reputation and conduct of customer-oriented
staff (Khodadad Hosseini and Behboudi, 2017).
Service quality is an important determinant in
generating customer satisfaction and Word of Mouth
communications (Lang 2011). The dimensions of
service quality (SERVQUAL) includes tangible,
reliability, responsiveness, empathy and assurance
(Parasuraman, Berry, and Zeithaml, 1993). The
quality system based on these five dimensions has the
potential to increase functional quality and service
performance. Quality improvement is the main factor
that influences the level of customer satisfaction and
loyalty in service and manufacture marketing
(Meesala and Paul, 2018).
The purpose of delivering quality services as well
as creating trust is to result in patient satisfaction of a
healthcare service provider. Patient satisfaction is an
indicator of hospital success in providing medical
services. According to Wilson et al (2008) patient
satisfaction leads to customer loyalty, provide
recommendations to other people, as well as
purchases (Meesala and Paul, 2018).
1.1 Research Gaps
Patient satisfaction concept has taken a lot of
attention in the healthcare service industry. Some
prior studies bring up satisfaction as the main
construct such as: Amin and Nasharuddin (2013),
Elleuch (2008), Kessler and Mylod (2011). However,
researchers from previous study prioritizing service
performance as the construct to explain patient
satisfaction. Specifically, most previous research
shows that service quality has the biggest role in
explaining patient satisfaction (Meesala and Paul,
2018).
Hospital trust pointing the patient's belief in the
capability of a healthcare service provider. The
literature of marketing in healthcare industry indicate
trust as an important factor in determining loyalty
(Sumaedi et al., 2014). In healthcare service, trust has
been found as a fundamental factor in the decision-
Sari, W., Farida, N. and Jati, S.
The Influence of Hospital Trust and Service Quality to Patient Satisfaction and Loyalty.
DOI: 10.5220/0008429302030207
In Proceedings of the 2nd International Conference on Inclusive Business in the Changing World (ICIB 2019), pages 203-207
ISBN: 978-989-758-408-4
Copyright
c
2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
203
making process (Moliner, 2009). Refers to the
previous study, trust in healthcare provider has a
positive influence on patient satisfaction (Benkert et
al., 2006).
This review of the prior study concludes that
satisfaction is influenced by many factors and cannot
be determined merely through the construct of service
quality. Trust also seems to be a significant construct
in defining satisfaction that underlies patient loyalty
in the healthcare service provider. However, the
recent literature represents that there is a lack of study
in explaining relationship concurrently between trust,
service quality, satisfaction and loyalty based on the
patient evaluation.
2 HYPOTHESES
This paper focuses on the effect of hospital trust and
service quality on patient loyalty towards satisfaction.
The Following hypotheses based on a review of
previous literature that provides the scope of
marketing study. This research proposes hypotheses
as follows:
H1. Hospital trust has a positive impact on patient
satisfaction.
H2. Service quality has a positive impact on patient
satisfaction.
H3. Patient satisfaction has a positive impact on
patient loyalty.
3 RESEARCH METHOD
This research is an observational study with the cross
sectional approach. The population of this research
involved patients in the outpatient department of
referal center hospital of central java, Semarang,
Indonesia. Patients were selected based on purposive
sampling technique with several criteria, namely 17
years old and above, well communicate, has been
using the healthcare service more than once with a
different complaint, come for treatment in service
hours and using private payment. The sample size
was calculated using Slovin formula and obtained 100
respondents.
This research is using Structural Equation
Modeling (SEM) with two exogenous (independent)
variables i.e. trust (3 indicators) and the service
quality (5 indicators), whereas endogenous
(dependent) variables consists of satisfaction (5
indicators) and loyalty (3 indicators). The data
collection was executed through survey method by
using a five-point Likert scale questionnaire. The data
was analyzed using SEM with smartPLS 3.0
software.
3.1 Results
The characteristics of the research subject based on
demographic data consist of gender, age, occupation,
education, average monthly expenses, and the reason
for treatment.
Table 1: The characteristic of respondents.
Characteristic Percentage
Gender
Male 46,0
Female 54,0
Ages
18-23 YO 15,0
24-29 YO 12,0
30-35 YO 21,0
36-41 YO 17,0
42-47 YO 13,0
48-53 YO 10,0
54 YO 12,0
Education Backgrounds
Elementary School 10,0
Junior High School 15,0
Senior High School 40,0
Diploma/ Bachelor Degree 30,0
Post Graduate Program 5,0
Occupations
College Students 11,0
Official Employee 20,0
Entrepreneurship 30,0
Government Employee 5,0
Others 34,0
Average Monthly Expenses
<IDR 2,000,000 43,0
IDR 2,000,000-IDR 4,000,000 36,0
IDR 4,000,000-IDR 6,000,000 11,0
>IDR 6,000,000 10,0
Visitation Reasons
Their own accord 50,0
Recommendation from others 7,0
Reference from health workers 43,0
3.2 Partial Least Square – SEM
Analysis
3.2.1 Measurement Model
Evaluation of the outer model aims to determine the
goodness of fit by examining validity and reliability
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test of the indicators. The validity of the construct is
assesed based on convergent validity and
discriminant validity test to find out the accuracy of
the measurement model. Convergent validity testing
aims to determine the validity between item and
construct using outer loading score. Table 2 shows
that the outer loading score of all items was> 0.6
which is surpass the accepted value (Ghozali, 2014).
Other validity examination for contruct items using
discriminant validity test by comparing AVE score
and square root AVE of constructs. Tabel 2
demonstrates the result of discriminant validity test
based on Fornell and Larckers's (1981) criteria. All
constructs have AVE score higher than 0.5 and square
root AVE are greater than AVE score. Thus, the
discriminant validity test was accepted.
Reliability test was performed to explore
measurement model consistency. Tabel 2 shows that
all constructs have composite reliability (CR) score
>0.6, surpass the accepted value (Ghozali, 2014).
This result indicates the measurement model has
sufficient composite reliability, convergent validity
and discriminant validity (Ghozali, 2014).
The evaluation of the inner model aims to observe
the R-square score that indicates the predictive value
of a measurment model. Tabel 2 shows that patient
satisfaction has the R-square score 0.553 which
means exogenous constructs (trust and service
quality) affect satisfaction as much 55.3% whereas
about 44.7% of satisfaction was influenced by other
factors outside this study. Moreover, the R-square
score of loyalty is 0.340. This result explains that
patient satisfaction affects loyalty up to 34%, whereas
about 66% of loyalty construct was influenced by
other variables outside this study.
3.2.2 Structural Model
Analyzing the structural model was performed to
test the hypotesis of this study. The result was
examined using the bootstrapping technique with
1,000 resampling method to determine the path
coefficient's significance. The first hypothesis was
examined between hospital trust and patient
satisfaction. The result shows that hospital trust has a
positive (0.200) but not significant (t = 1,483) to
affect patient satisfaction. Thus, H1 was not
supported. Thereafter, we examined the second hypo-
Table 2: Validity and reliability test.
Variables
Outer
Loading
CR AVE Square root AVE R
2
Trust 0.891 0.731 0.855
Benevolence 0.810
Honesty 0.879
Competence 0.874
Service Quality 0.909 0.551 0.668 0.742
Reliability 0.822
Responsiveness 0.837
Assurance 0.853
Emphaty 0.846
Tangible 0.722
Satisfaction 0.859 0.668 0.820 0.734 0.818 0.553
Satis1 0.795
Satis2 0.769
Satis3 0.705
Satis4 0.727
Satis5 0.711
Loyalty 0.774 0.535 0.442 0.583 0.511 0.731 0.340
Loy1 0.684
Loy2 0.812
Loy3 0.691
*CR = Composite Reliability; AVE = Averange Variance Extracted
Table 3: Path coefficient test.
Hypotheses Original Sample (O) Sample Mean (M)
Standard Deviation
(STDEV)
T Statistics
(|O/STDEV|)
P Values
Hospital Trust-> Patient
Satisfaction
0.200 0.188 0.135 1.483 0.139
Service Quality-> Patient
Satisfaction
0.570 0.585 0.132 4.329 0.000
Patient Satisfaction-> Loyalty 0.583 0.593 0.063 9.197 0.000
The Influence of Hospital Trust and Service Quality to Patient Satisfaction and Loyalty
205
Figure 1: PLS output of hospital trust and service quality to patient satisfaction and loyalty.
tesis between service quality and patient satisfaction.
Tabel 3 shows that service quality has a positive
(0.570) and significant (t = 4.329) effect on patient
satisfaction. The third hypotesis was tested to
determine the relationship between patient
satisfaction and loyalty. The result indicates that
patient satisfaction has a positive (0.583) and
significant (t = 9.197) effect on patient loyalty. Both
second and third hypotesis was significant at p<0.05
thus, H2 and H3 were supported.
4 DISCUSSION
This research proposed a hierarchical model to find
out the relationship between trust, sevice quality,
patient satisfaction and loyalty. The Structural
Equational Model (SEM) was used to examine the
path model. The outcome confimed that hospital trust
has no significant impact on patient satisfaction.
Thus, H1 was rejected. This result indicates that
increasing hospital trust does not ensure a higher level
of satisfaction. According to this result, the prior
study suggested that trust has no influence on
satisfaction (Khodadad Hosseini and Behboudi,
2017; Laura, 2016).
Afterward, the result for the second hypotesis
demonstate that service quality has a positive and
significant effect on patient satisfaction. Thus, H2
was supported. This finding confirms the prevoious
study conducted by (Naidu, 2009). Similarly, Amin
(2013) has found that admission, medical service,
overal service, discharge, and social responsibility
have a significant impact on satisfaction. If a provider
could fullfill the expected service then the customer
would be satisfied (Parasuraman, Zeithaml, and
Berry, 1985).
Meanwhile, the third hypotesis stated that patient
satsfaction has a positive influnce on patient loyalty.
The outcome shows that H3 was supported. This
finding was suitable for previous research in which
satisfaction has an important role in patient loyalty
(Elleuch, 2008; Kessler and Mylod, 2011). If
satisfaction from the product or received service was
beyond expectation then customer tends to reuse the
same product or service (Lee and Kotler, 2009).
5 CONCLUSION
Patient satisfaction has already been discovered as the
main concept in the prior marketing study. Some
previous study concludes satisfaction was built from
service quality (Lang, 2011) (Amin and Zahora
Nasharuddin, 2013), whereas other literature declare
trust as an important construct in generating
satisfaction (Benkert et al., 2006) (Shan et al., 2016).
However, in this study trust has no significant
influence in resulting patient satisfaction to the
healthcare service provider. Moreover, the outcome
of this research shows that service quality has a
significant impact on patient satisfaction. Also patient
satisfaction has a positive influence on patient
loyalty.
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5.1 Implication
The outcome of this study has a strong implication for
hospital management. Particularly, the results offer a
new perspective for improving strategies in hospital
marketing for both patients and hospital managers. In
order to develop patient satisfaction and loyalty, this
literature suggests hospital managers consider patient
perspective in conducting routine evaluations of
service quality. Patient evaluations of service quality
could be an input toward management to revise
service sectors, which were yet infallible.
5.2 Limitation and Future Research
This study has several limitations. The data was
collected only in one healthcare service provider in
Semarang, Indonesia so the result may not represent
the population in general. Thus, the findings need to
be futher examined in other healthcare service
providers to confirm their constancy. Information
acheived from patients interview may not be free of
subjectivity.
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