SERVQUAL
The SERVQUAL model is a
standard instrument that aptly measures the quality of service in public
services such as hospitals that are characterized by difficulties such as
patients who have limited contact with the hospitals service (Donnelly, Kerr,
Rimmer, & Shiu, 2006). In a research to find success parameters that
measure how quality management influences a hospital’s business performance,
Kunst and Lemmink (2000) find out that, total quality management (TQM) models
are fashionable because of the need to know the progress and achievements of
quality management is a given institution. There are limitations that should be
considered when choosing to use the TQM models. The models have to be used in
the context that they are developed. The patient quality scores form a key
factor in the relation of TQM and business performance in hospitals. The
researchers concluded that employment of hospital patient-oriented strategies
positively correlates with improved business performance.
Suki, Lian and Suki (2011)
indicate that using SERVQUAL in hospital settings produces varied results. Furthermore,
they find out that some studies find SERVQUAL to be appropriate in measuring
the patient’s expectation and their perception of the healthcare domain. The
researchers used a SERVQUAL 5 dimension model to conduct a survey aimed at
measuring the service quality in the private healthcare setting of Malaysia. In
this type of questionnaire, items are paraphrased to fit the appropriate
wording and context to make them applicable in the research. Items in the
questionnaire have a Linkert scale structure of five points that range from
“completely agree” to “completely disagree”. The researchers had 23 questions
for the expectation scale and a similar number for the perception scale. The
study findings indicated that customer perception of healthcare quality was
within the limits of their expectations. Patients were dissatisfied with the amount
of time they had to wait to receive service and to get a response when there
was a problem (Suki, Lian, & Suki, 2011).
Shekarchizadeh, Rasli and
Hon-Tat (2011) used a modified SERVQUAL instrument on their sample size of
international postgraduate students to access their quality perception and
expectations in the quality of Malaysian universities. The modified SERVQUAL
was distributed into five separate factors of professionalism, reliability,
hospitality, tangibles, and commitment given that university service is
measured by standards of education and research. The researchers also conducted
a reliability study that indicated that their modified SERVQUAL instrument was
statistically reliable. Findings of the study indicated that international
postgraduate students in Malaysian universities negatively percept the
educational quality they receive because their expectations were not met as far
as education performance goes.
There is a more superior
instrument for measuring quality however, the superiority remains within the
context of its application. Vaughan and Woodruffe-Burton, (2011) empirically
tested a disabled service user specific service quality model known as
ARCHSECRET against a modified version of the well-known SERVQUAL in the context
of disabled students of higher education. The experiment tested the portability
of the SERVQUAL model into the context of measuring the experience of disabled
service users. The research find is a pilot and does not reflect all contexts
of possible application. The study indicated that other than being reliable,
the model provides a powerful conceptual framework for diagnosis of service
shortfalls and was superior in predicting the variation of the disabled
student’s variation of quality as compared to the SERVQUAL.
Counter Management
Counter management concerns
the initiatives to make staff free to use their rational thoughts to offer
quality service to customers. Counter management releases the staffs assigned
at customer counters from the constraints that limit them to making responses
that are in accordance with the stipulated procedure. In many case, customers
making inquiries that have not been covered in the procedure are forced to
withdraw their requests because without counter management, staffs cannot
respond to the queries in the fear of doing things wrongly (Drury, 2009). In
addition, counter management will involve the provision of resources to make
the interaction of hospital staff and clinicians swift by removing any
unnecessary hindrances. Technology may be incorporated to achieve this goal of
streamlining processes and making communication easier (Zeithaml, Berry, &
Parasuraman, 1988).
Sharma, Sharma and Sharma
(2011) studied service provision in an Indian hospital and the patient
satisfaction as a measure of the health system satisfaction. They conclude that
infrastructure and architectural hindrances are the main cause of patient
dissatisfaction with the quality of service offered by the hospital. Improvements
should be made at reception counters to limit the waiting period for patients
(Rossiter, 2003). The waiting area needs to be more comfortable and provide
more information. According to Sharma, Sharma and Sharma (2011), patients also
complained that clinicians used jargons that they could not understand. Although
the doctor quality of hospitals may be satisfactory, the dissatisfaction of
patients at hospital counters influences their overall perception of the
healthcare service they receive (Li, Huang, & Yang, 2011).
According to Currie and
Finnegan (2011), institutional forces influence the introduction of enabling
technologies that would improve the service quality of the healthcare
environment. In their study, introduction of electronic records that reduce the
overall waiting time for patients forced disruptive changes to clinicians,
healthcare managers and even patients. They conclude that service improvement
is not merely a technical aspect of cost cutting for management and performance
improvement in the service delivered. Rather, it is infused with ideologies and
rational concerns of several stakeholders.
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