SlideShare una empresa de Scribd logo
1 de 8
Descargar para leer sin conexión
264 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010
DOI: 10.1179/175330310X12918040319694
R. H. Koop
Started his career as a ostomy
care nurse. Five years ago he
registered as a nurse
practitioner after the master
advanced nursing practice.
Specialities are patient
education, colonic surgery
and proctology.
J. M. Klaase
is an oncology/gastro-
enterology/proctology surgeon
at the Medisch Spectrum
Twente (hospital).
J. van der Palen
Phd epidemiology, clinical
epidemiologist, professor
evaluation and assessment in
healthcare research at the
University of Twente.
P. A. M. Kommers
His interest is media, learning
and visual communication.
His Master study in 1980
formulated algorithms for
adaptive learning. In his PhD
study he questioned how
conceptual representations
may support the cognitive
integration in learning. He
was Scientific Director of
NATO Advanced Research
Workshop: ‘Cognitive
Technologies’ in 1989.
http://users.edte.utwente.nl/ko
mmers.
A. J. Sanders
University of Twente.
J. Jonker
University of Twente. Introduction
Patients that have to undergo a large bowel operation for cancer are in a
vulnerable period of their life. As a consequence, a surgical intervention
will entail a number of reactions.1
Fear of the unknown, about the
operation and the outcome of the operation, plays a significant role.
Often there are concerns about the psychological, social and physical
consequences of the operation. To meet these concerns, patients often
want as much information about the operation as possible. They gladly
get involved in decisions that must be made about the treatment.2
Information is essential, especially in the period before the treatment.
Nevertheless, many patients diagnosed with colon cancer do not receive
adequate information.3
Health literacy and coping behaviour are important aspects in
information transfer which are sometimes underestimated.4
Patient
information has to be tailored to the learning capacity of the individual
patient, taking into account already existing knowledge, fear and stress,
the learning need and their capacity to absorb information.5–6
Using a web application to
improve satisfaction among
patients undergoing surgery
R. H. Koop, J. M. Klaase, J. van der Palen,
P. A. M. Kommers, A. J. Sanders and J. Jonker
Abstract
The study explores whether patient satisfaction is increased when
a web application is used to inform patients about a surgical
intervention. A randomised single centre study was conducted.
The study population consisted of 32 patients that underwent an
elective colon resection for colon cancer (15 in the experimental and
17 in the control group; patient characteristics were equally divided
between both groups). The study group got the information with the
web application from the nurse practitioner at least 10 days before
surgery; the control group was given the standard oral information by
the nurse practitioner. Satisfaction level was measured with a
validated patient satisfaction questionnaire directly after giving the
information and two weeks after the surgical intervention. The results
indicate that patients are more satisfied when information is given by
means of a web application. Given that expectations regarding
hospital admission are more realistic when information is given in
the optimal manner, this has consequences for the use of multimedia
information techniques in healthcare in the near future.
R. H. Koop
Department of Surgery
Medisch Spectrum Twente
Postbus 50.000
7500 KA Enschede
E-mail: r.koop@mst.nl
Keywords: patient satisfaction,
web application, colon
resection, information provision,
PATSAT32
Using a web application to improve patient satisfaction
© W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 265
Information can be transmitted in several manners to the patient. Most
commonly, information is given orally. Folder material is frequently used
to support the oral information. The frequency of information given
using a computer and animations is rising. However, information transfer
is not always well coordinated and sometimes the patient even hears
contradictory information from different care workers. While some
patients seek further information through the internet, this information
is not tailored to the individual and, in certain cases, is simply incorrect.
According to Marple, the absence of unmet expectations increases the
level of patient satisfaction.7
In 2005, we started developing and testing an individualised
programme to inform patients with colon cancer using a web
application.8
Patients and methods
After obtaining informed consent, 32 patients aged 40–85 years (mean
age 67), without serious audiovisual or mental handicaps, were included
in the study between May 2006 and December 2007 (see Table 1). All
patients had to undergo elective colon resections (a right or left
hemicolectomy for large bowel cancer). Patients were randomised to an
experimental group and a control group. Fifteen patients were allocated
to the experimental group, and 17 patients to the conventional group.
Patient satisfaction was measured with the EORTC PATSAT32, a
validated ordinal questionnaire9
of 32 items with scores of 1–5 by item.
There are 32 topics in this questionnaire, ranging from satisfaction with
information to satisfaction with speed for medical tests. The instrument
has been developed specifically to measure the satisfaction of
oncological patient. Local ethical committee approval was obtained.
Experimental group
The experimental information consisted of an initial interview
conversation with the surgeon, in which minimal information about the
diagnosis and operation was given. The surgeon requested informed
Experimental group Conventional group
Number 15 17
Gender
Male 9 6
Female 6 11
Mean age: 67 years
Level of education
No education 0 1
Basic education 4 7
Practice oriented education 9 9
University 1 0
Knowledge of illness
Present 3 3
Not present 12 14
Table 1: Patient characteristics
Koop, Klaase, van der Palen, Kommers, Sanders and Jonker
266 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010
consent from the patient. Having provided this consent, the respondent
attended an extra outpatient appointment to receive the information.
The information was given by means of a web application with an
information path through which several information items were passed
(see Figures 1 and 2). The information was given by the nurse
practitioner.
The experimental information consisted of a number of animations,
texts and images related to the patient’s disorder. The information items
Figure 1: Screenshot animations from the web application
Figure 2: Screenshot animations from the web application
were the same for all patients, but the information content was tailored to
the individual patient, for example, a patient undergoing a left
hemicolectomy received different information from patients undergoing a
right hemicolectomy. Afterwards, a print-out of the discussed information
was given to the patient. The patient received the first questionnaire
immediately after the information was given. Because the first
questionnaire had to be completed before the operation, a number of the
PATSAT32 questionnaire items were not appropriate. We therefore used a
modified version of the PATSAT32. At first measurement, we also asked
about satisfaction concerning the information material used. Following
the operation and discharge, patients received the second questionnaire
consisting of the original PATSAT32. In addition to the questionnaire, we
asked for a general judgment concerning the information that was given
on an ordinal scale of 0–5. The web application used for the study was
developed by the University Twente. Development was informed by the
available literature on the use of web applications and with the assistance
of a multidisciplinary expert panel. The present study commenced
following a pilot study to test a prototype of the web application.8
Conventional group
Patients in the conventional (control) group underwent an initial
interview with the surgeon. The surgeon requested informed consent
from the patient. Having provided this consent, the respondent attended
an extra outpatient appointment to receive the information. The oral
information was given by the nurse practitioner. Patients in the
conventional information group received the same questionnaires
as the patients in the experimental group.
Questionnaires and analysis
The satisfaction of the patients in the experimental group was compared
with the satisfaction of patients in the conventional group. For ongoing
normal divided variables, this was done using a t-test. For not-normal
divided variables, a Wilcoxon’s Rank Sum test was used. All items on the
questionnaires were transformed linearly to a scale of 0 to 100, with 100
representing the highest level of satisfaction. The questionnaire was
subdivided into a number of multi-item scales. This made it possible
to evaluate the social and technical skills, information provision and
availability of the doctor and nurse, kindness, helpfulness and information
supply by other hospital staff, waiting times and accessibility, exchange of
information (communication between departments/care workers), hygiene
and comfort in the hospital and general satisfaction.
Results
Of the 35 patients approached, three refused to participate in the study,
citing insufficient time to complete the questionnaires. Of the 32
participants, 30 (94 per cent) returned the first questionnaire. After the
Using a web application to improve patient satisfaction
© W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 267
Koop, Klaase, van der Palen, Kommers, Sanders and Jonker
268 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010
intervention and discharge from the hospital, the second questionnaire
was sent. Twenty-six (81 per cent) of the second questionnaires were
returned. Of the 32 patients, one died due to postoperative complications.
With regards to patient characteristics, there were no significant
differences between both groups.
Patient education
Patients in the experimental group spent an average of 45 minutes (range
32–60 minutes) at the computer. For a number of items in the web
application, additional oral information was given by the nurse when
requested. These items were mainly ‘pathology’ and the item ‘after the
dismissal from the hospital’. Questions regarding the practical aspects of
discharge and pathology arose frequently; such questions included timing
of the pathology report and care at home after discharge. These items
were not discussed in the web application and patients indicated that they
needed more information about these items. Thirteen patients were able
to launch the web application without any problems, but two patients
found the web application did not function properly due to a technical
problem (no connection with internet and/or problems with the server of
the web application). Communicating the conventional information took
an average of 60 minutes (range 45–90 minutes). In most instances, an
anatomical drawing was used.
Results of the first questionnaire
Patient satisfaction was measured directly after the intervention by means
of a modified PATSAT32 questionnaire in both groups. There was a
significantly higher satisfaction in the experimental group with respect
to information supply by doctor and nurse (p ϭ 0.03 and p ϭ 0.01
respectively). In addition, kindness and helpfulness were judged higher
in the experimental group (p ϭ 0.001).
The judgment concerning the appliances used for information provision
was significantly higher in the experimental group (p ϭ 0.04) (Table 2).
Results of the second questionnaire
The second questionnaire (PATSAT32) was completed up to three weeks
after discharge from the hospital. In the experimental group, information
provision by the doctor (p ϭ 0.04) was again judged significantly higher
(Table 3). The information provision of the nurse showed no significant
difference (p ϭ 0.22). At the second test point, however, the nurse’s
technical skills, such as measuring blood pressure and handling the
computer, were judged significantly better (p ϭ 0.05). General
satisfaction scored higher in the experimental group (p ϭ 0.04).
Discussion
The present study shows that the use of a web application with tailored
information results in higher patient satisfaction compared with the use
of conventional oral information alone. In general, it seems that the
optimal use of information techniques makes patients’ expectations about
the planned hospital admission and surgical intervention become more
realistic, leading to improved patient satisfaction. Patient satisfaction will
become a more important outcome measure in the near future.10,11
Studies with the PATSAT32 questionnaires have shown that patient
satisfaction with hospital care is independent of morbidity, treatment
type, and quality of life outcomes. It may therefore be used to generate
feedback to providers of healthcare to improve patients’ experiences of
Using a web application to improve patient satisfaction
© W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 269
Experimental group Conventional group
Mean score SD Mean score SD
(%) (%) (%) (%) p-value
Doctors
Social skills 71.4 16.9 58.9 21.2 0.09
Technical skills 75.6 15.8 62.2 20.4 0.06
Information provision 78.3 16.3 60.6 27.1 0.03
Availability 68.3 19.4 63.5 15.7 0.47
Nurses
Social skills 70.5 17.2 64.4 19.8 0.39
Technical skills 73.3 17.6 61.7 20.9 0.10
Information provision 71.7 22.9 60.2 20.0 0.01
Availability 70.0 22.0 59.3 23.5 0.21
Other personnel
Kindness and helpfulness 71.7 18.6 55.0 14.0 0.01
Waiting time
Waiting time and speed 66.7 25.7 52.3 15.3 0.07
Access
Ease of access hospital 51.7 21.0 52.3 27.5 0.94
Exchange of information 55.4 22.3 51.7 24.0 0.67
Cleanness and comfort 55.0 19.4 56.3 25.0 0.87
Opinion of used 70.0 19.4 57.8 19.8 0.04
education material
Table 2: Results first measurement (modified questionnaire)
Experimental group Conventional group
Mean score SD Mean score SD
(%) (%) (%) (%) p-value
Doctors
Social skills 62.1 26.4 56.4 20.5 0.56
Technical skills 74.3 17.2 60.7 21.5 0.09
Information provision 78.5 16.1 55.4 20.6 0.04
Availability 68.8 19.6 56.3 22.3 0.16
Nurses
Social skills 70.5 16.4 57.7 24.4 0.16
Technical skills 72.9 15.9 58.3 20.4 0.05
Information provision 67.4 17.6 55.6 26.9 0.22
Availability 69.3 19.7 57.1 23.4 0.18
Other personnel
Kindness and helpfulness 66.7 21.5 50.0 24.7 0.10
Waiting time
Waiting time and speed 61.4 22.0 51.8 16.9 0.23
Access
Ease of access hospital 51.0 21.6 48.1 26.4 0.76
Exchange of information 54.2 17.9 46.2 30.4 0.44
Cleanness and comfort 52.1 16.7 46.4 27.5 0.54
General satisfaction 79.2 20.9 62.5 19.0 0.04
Table 3: Results of the second measurement (PATSAT32)
Koop, Klaase, van der Palen, Kommers, Sanders and Jonker
270 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010
treatment. Web-based information provision may become an obligatory
aspect of the preoperative setting.
The concept of computer-based information is not new. Within the
healthcare system, the use of web applications for information provision is
rising. In most studies, a web application is used as a decision tool.12
In the
present study, the web application was developed to tailor the information
to the individual situation. The function of the nurse practitioner is thus of
paramount importance as they structure the information path so that the
patient is not overwhelmed with irrelevant data.
The nurse practitioner function is relatively new in The Netherlands.
The EORTC PATSAT32 questionnaire is not ready for this new function
as only the performance of doctors and nurses is requested. It was highly
interesting to observe that patients did not know whether they were being
informed by a nurse or a doctor. This begs the question: how does the
patient see the nurse practitioner? A super-nurse or a mini-doctor? In any
case, the information provision skills of both healthcare workers were
judged better in the experimental group, suggesting that some patients
viewed the nurse practitioner as a nurse and some as a doctor.
The advantage of information provision using a web application is that
the information can be easily adapted to new insights in the disease or new
operative techniques. One must bear in mind, however, that the development
of a web application (especially one with animations) costs a lot of time and
money. The web application will also require an administrator to adapt the
information items. Financial support is therefore essential.
In the present study, we observed that the animations used within the
web application seemed to give patients much more clarity concerning
the planned operation. Further research is needed to look at factors like
health literacy and coping behaviour which could influence how patients
appreciate the animations. Other factors to be studied include the specific
influence of age and level of education. As translations of spoken
language in the web application have been developed, the impact of the
web application on information provision in other languages should
also be studied.
Ultimately, we can consider the possibilities of combining patient
information with the multidisciplinary electronic patient file, thus giving
tailored information to the oncological patient in the appropriate amount
and at the right moment by different healthcare workers.
Acknowledgment
The development of the web application was made possible by a grant
from Sanofi Aventis.
References
1. Moene, M., Bergbom, I. and Skott, C. (2006) ‘Patients’ existential situation prior to colorectal
surgery’, Journal of Advanced Nursing, Vol. 54, No. 2, pp. 199–207.
2. Thomas, R., Daly, M., Perryman, B. and Stockton, D. (2000) ‘Forewarned is forearmed: benefits
of prepatory information on video cassette for patients receiving chemotherapy or radiotherapy.
A randomised controlled trial’, European Journal of Cancer, Vol. 36, pp. 1536–1543.
3. Jones, R., Pearson, J., McGregor, S., Gilmour, W. H., Atkinson, J. M., Barrett, A., Cawsey, A. J.
and McEwen, J. (1999) ‘Cross sectional survey of patients’ satisfaction with information about
cancer’, BMJ 319, pp. 1247–1248.
4 Paasche-Orlow, M. K., Parker, R. M., Gazmararian, J. A., Nielsen-Bohlman, L. T. and Rudd, R. R.
(2005) ‘The prevalence of limited health literacy’, Journal of General Internal Medicine,
Vol. 20, pp. 175–184.
5. Jackson, J. L., Chamerlin, J. and Kroenke, K. (2001) ‘Predictors of patient satisfaction’, Social
Science and Medicine, Vol. 52, pp. 609–620.
6. Jackson, J. L. and Kroenke, K. (1997) ‘Patient satisfaction and quality of care. Military
Medicine, 162, 273–277.
7. Marple, R., Lucey, C., Kroenke, K., Wilder, J. and Lucas, C. (1997) A prospective study of
concerns and expectations in patients presenting with common symptoms’, Archives of Internal
Medicine, Vol. 157, No. 13, pp. 1482–1488.
8. Bruikman, H. (2006) ‘Formative evaluation of a computer based information system’,
unpublished master of sciences human research dissertation, University of Twente Enschede.
9. Bredart, A., Bottomley, A., Blazeby, J. M., Conroy, T., Coens, C., D’Haese, S., Chie, W. C.,
Hammerlid, E., Arraras, J. I., Efficace, F., Rodary, C., Schraub, S., Costantini, M., Costantini, A.,
Joly, F., Sezer, O., Razavi, D., Mehlitz, M., Bielska-Lasota, M. and Aaronson, N. K. (2005) ‘An
international prospective study of the EORTC cancer in patient satisfaction with care measure
(EORTC IN-PATSAT32)’, European Journal of Cancer, Vol. 41, pp. 2120–2131.
10. Tomlinson, J. S. and Ko, C. Y. (2006) ‘Patient satisfaction: an increasingly important measure of
quality’, Ann Surg Oncol, Vol. 13, No. 6, pp. 764–765.
11. Mills, M. E. and Sullivan, K. (1999) ‘The importance of information giving for patients newly
diagnosed with cancer: a review of the literature’, J Clin Nurs, Vol. 8, No. 6, pp. 631–42.
12. Murray, E., Burns, J., See, T. S., Lai, R. and Nazareth, I. (2005) ‘Interactive health
communication applications for people with chronic disease’, The Cochrane Database of
Systematic Reviews, Oct 19;(4):CD004274.
Using a web application to improve patient satisfaction
© W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 271

Más contenido relacionado

La actualidad más candente

Improving Healthcare Outcomes with Active Patient Engagement
 Improving Healthcare Outcomes with Active Patient Engagement Improving Healthcare Outcomes with Active Patient Engagement
Improving Healthcare Outcomes with Active Patient Engagementmosmedicalreview
 
Medical informatics
Medical informaticsMedical informatics
Medical informaticsmigom doley
 
Yuri Quintana of BIDMC - November 11th Health Innovators Presentation
Yuri Quintana of BIDMC - November 11th Health Innovators PresentationYuri Quintana of BIDMC - November 11th Health Innovators Presentation
Yuri Quintana of BIDMC - November 11th Health Innovators Presentationmlkrgr
 
eHealth and patient outcomes
eHealth and patient outcomeseHealth and patient outcomes
eHealth and patient outcomesAnna Kotzeva
 
Patient Data Collection Methods. Retrospective Insights.
Patient Data Collection Methods. Retrospective Insights.Patient Data Collection Methods. Retrospective Insights.
Patient Data Collection Methods. Retrospective Insights.QUESTJOURNAL
 
Evidence based periodontology
Evidence based periodontologyEvidence based periodontology
Evidence based periodontologySumalatha Appam
 
Banyon PATIENT PORTALS Article.5.6.14
Banyon PATIENT PORTALS Article.5.6.14Banyon PATIENT PORTALS Article.5.6.14
Banyon PATIENT PORTALS Article.5.6.14Olivia Banyon
 
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...Borwornsom Leerapan
 
emPATH Open Sourced Mobile Framework
emPATH Open Sourced Mobile FrameworkemPATH Open Sourced Mobile Framework
emPATH Open Sourced Mobile FrameworkLarry Suarez
 
Casa study visit Denmark
Casa study visit DenmarkCasa study visit Denmark
Casa study visit Denmarkflanderscare
 
CDC Health Communication abstract 2011
CDC Health Communication abstract 2011CDC Health Communication abstract 2011
CDC Health Communication abstract 2011Michelle C. Farabough
 
Implementation science tailored to precision prevention
Implementation science tailored to precision preventionImplementation science tailored to precision prevention
Implementation science tailored to precision preventionGraham Colditz
 
Interventions to change providers' practice in cameroon h hopkins
Interventions to change providers' practice in cameroon h hopkinsInterventions to change providers' practice in cameroon h hopkins
Interventions to change providers' practice in cameroon h hopkinsACT Consortium
 

La actualidad más candente (20)

Improving Healthcare Outcomes with Active Patient Engagement
 Improving Healthcare Outcomes with Active Patient Engagement Improving Healthcare Outcomes with Active Patient Engagement
Improving Healthcare Outcomes with Active Patient Engagement
 
Medical informatics
Medical informaticsMedical informatics
Medical informatics
 
Yuri Quintana of BIDMC - November 11th Health Innovators Presentation
Yuri Quintana of BIDMC - November 11th Health Innovators PresentationYuri Quintana of BIDMC - November 11th Health Innovators Presentation
Yuri Quintana of BIDMC - November 11th Health Innovators Presentation
 
MyIDEAdevelopment
MyIDEAdevelopmentMyIDEAdevelopment
MyIDEAdevelopment
 
RML Rendezvous: Transcending Borders Globally
RML Rendezvous: Transcending Borders GloballyRML Rendezvous: Transcending Borders Globally
RML Rendezvous: Transcending Borders Globally
 
Patient Education
Patient EducationPatient Education
Patient Education
 
eHealth and patient outcomes
eHealth and patient outcomeseHealth and patient outcomes
eHealth and patient outcomes
 
Patient Data Collection Methods. Retrospective Insights.
Patient Data Collection Methods. Retrospective Insights.Patient Data Collection Methods. Retrospective Insights.
Patient Data Collection Methods. Retrospective Insights.
 
Pranesh Chakraborty (CHEO): panCanadian Newborn Screening Guidelines
Pranesh Chakraborty (CHEO): panCanadian Newborn Screening GuidelinesPranesh Chakraborty (CHEO): panCanadian Newborn Screening Guidelines
Pranesh Chakraborty (CHEO): panCanadian Newborn Screening Guidelines
 
Evidence based periodontology
Evidence based periodontologyEvidence based periodontology
Evidence based periodontology
 
RML Rendezvous - Physician Assistants & Information Needs for Clinical Decisi...
RML Rendezvous - Physician Assistants & Information Needs for Clinical Decisi...RML Rendezvous - Physician Assistants & Information Needs for Clinical Decisi...
RML Rendezvous - Physician Assistants & Information Needs for Clinical Decisi...
 
Banyon PATIENT PORTALS Article.5.6.14
Banyon PATIENT PORTALS Article.5.6.14Banyon PATIENT PORTALS Article.5.6.14
Banyon PATIENT PORTALS Article.5.6.14
 
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...
Harmonizing Healthcare Financing for Health Equity: Case Studies of Cross-sub...
 
emPATH Open Sourced Mobile Framework
emPATH Open Sourced Mobile FrameworkemPATH Open Sourced Mobile Framework
emPATH Open Sourced Mobile Framework
 
Casa study visit Denmark
Casa study visit DenmarkCasa study visit Denmark
Casa study visit Denmark
 
0405 Bettina Rryll - The clinical trials we want!
0405  Bettina Rryll - The clinical trials we want! 0405  Bettina Rryll - The clinical trials we want!
0405 Bettina Rryll - The clinical trials we want!
 
CDC Health Communication abstract 2011
CDC Health Communication abstract 2011CDC Health Communication abstract 2011
CDC Health Communication abstract 2011
 
0207 1 Luca Mazzarella - precision medicine
0207 1 Luca Mazzarella - precision medicine0207 1 Luca Mazzarella - precision medicine
0207 1 Luca Mazzarella - precision medicine
 
Implementation science tailored to precision prevention
Implementation science tailored to precision preventionImplementation science tailored to precision prevention
Implementation science tailored to precision prevention
 
Interventions to change providers' practice in cameroon h hopkins
Interventions to change providers' practice in cameroon h hopkinsInterventions to change providers' practice in cameroon h hopkins
Interventions to change providers' practice in cameroon h hopkins
 

Destacado

ProAppSys Software Company Overview Case studies and expertise.
ProAppSys Software Company Overview Case studies and expertise.ProAppSys Software Company Overview Case studies and expertise.
ProAppSys Software Company Overview Case studies and expertise.Pradeep Gudipati
 
This presentation provides an idea of what I do.
This presentation provides an idea of what I do.This presentation provides an idea of what I do.
This presentation provides an idea of what I do.Arnoud Willems
 
TNR Gold Shotgun Gold Project in Alaska Presentation.
TNR Gold Shotgun Gold Project in Alaska Presentation.TNR Gold Shotgun Gold Project in Alaska Presentation.
TNR Gold Shotgun Gold Project in Alaska Presentation.Kirill Klip
 
Wheaton Science Products_overview
Wheaton Science Products_overviewWheaton Science Products_overview
Wheaton Science Products_overviewErnie Desmarais
 
NMA infographic | Digital Transformation Journey for Finance companies
NMA infographic | Digital Transformation Journey for Finance companiesNMA infographic | Digital Transformation Journey for Finance companies
NMA infographic | Digital Transformation Journey for Finance companiesCHIORI NEW MEDIA
 
Sports+exercices full
Sports+exercices fullSports+exercices full
Sports+exercices fullDora Kouri
 
Gestione completa di active directory & exchange
Gestione completa di active directory & exchangeGestione completa di active directory & exchange
Gestione completa di active directory & exchangeStefano Arduini
 
Полезные мероприятия на 8-14 декабря MeYou
Полезные мероприятия на 8-14 декабря MeYouПолезные мероприятия на 8-14 декабря MeYou
Полезные мероприятия на 8-14 декабря MeYouAnastasiia Moroz
 
Diy retailing a glimpse of the future - steve collinge
Diy retailing   a glimpse of the future - steve collingeDiy retailing   a glimpse of the future - steve collinge
Diy retailing a glimpse of the future - steve collingeInsight Retail Group Ltd
 
Fighting Financial Flab in 2013
Fighting Financial Flab in 2013Fighting Financial Flab in 2013
Fighting Financial Flab in 2013Tom Musbach
 
Ăn uống nhai nơi công sở
Ăn uống nhai nơi công sởĂn uống nhai nơi công sở
Ăn uống nhai nơi công sởThẩm Mỹ Răng
 
STUDENT FULL POTENTIAL
STUDENT FULL POTENTIALSTUDENT FULL POTENTIAL
STUDENT FULL POTENTIALstephen lumati
 
Srigala di balik jahat
Srigala di balik jahatSrigala di balik jahat
Srigala di balik jahatyance iyai
 
Portafolio final de tecnologia. 1
Portafolio final de tecnologia. 1Portafolio final de tecnologia. 1
Portafolio final de tecnologia. 1nowa martinz
 
NMFS_1995_Cetacean_Survey
NMFS_1995_Cetacean_SurveyNMFS_1995_Cetacean_Survey
NMFS_1995_Cetacean_SurveyJim Tobias
 
Tb fajri mulyana dan havid habibaullah
Tb fajri mulyana dan havid habibaullahTb fajri mulyana dan havid habibaullah
Tb fajri mulyana dan havid habibaullahTb Mulyana
 

Destacado (20)

ProAppSys Software Company Overview Case studies and expertise.
ProAppSys Software Company Overview Case studies and expertise.ProAppSys Software Company Overview Case studies and expertise.
ProAppSys Software Company Overview Case studies and expertise.
 
This presentation provides an idea of what I do.
This presentation provides an idea of what I do.This presentation provides an idea of what I do.
This presentation provides an idea of what I do.
 
Can junior
Can   juniorCan   junior
Can junior
 
TNR Gold Shotgun Gold Project in Alaska Presentation.
TNR Gold Shotgun Gold Project in Alaska Presentation.TNR Gold Shotgun Gold Project in Alaska Presentation.
TNR Gold Shotgun Gold Project in Alaska Presentation.
 
Wheaton Science Products_overview
Wheaton Science Products_overviewWheaton Science Products_overview
Wheaton Science Products_overview
 
NMA infographic | Digital Transformation Journey for Finance companies
NMA infographic | Digital Transformation Journey for Finance companiesNMA infographic | Digital Transformation Journey for Finance companies
NMA infographic | Digital Transformation Journey for Finance companies
 
Sports+exercices full
Sports+exercices fullSports+exercices full
Sports+exercices full
 
William masson 2016-cv_a
William masson 2016-cv_aWilliam masson 2016-cv_a
William masson 2016-cv_a
 
borsen_2015-10-06 VL 84
borsen_2015-10-06 VL 84borsen_2015-10-06 VL 84
borsen_2015-10-06 VL 84
 
Brandlink
BrandlinkBrandlink
Brandlink
 
Gestione completa di active directory & exchange
Gestione completa di active directory & exchangeGestione completa di active directory & exchange
Gestione completa di active directory & exchange
 
Полезные мероприятия на 8-14 декабря MeYou
Полезные мероприятия на 8-14 декабря MeYouПолезные мероприятия на 8-14 декабря MeYou
Полезные мероприятия на 8-14 декабря MeYou
 
Diy retailing a glimpse of the future - steve collinge
Diy retailing   a glimpse of the future - steve collingeDiy retailing   a glimpse of the future - steve collinge
Diy retailing a glimpse of the future - steve collinge
 
Fighting Financial Flab in 2013
Fighting Financial Flab in 2013Fighting Financial Flab in 2013
Fighting Financial Flab in 2013
 
Ăn uống nhai nơi công sở
Ăn uống nhai nơi công sởĂn uống nhai nơi công sở
Ăn uống nhai nơi công sở
 
STUDENT FULL POTENTIAL
STUDENT FULL POTENTIALSTUDENT FULL POTENTIAL
STUDENT FULL POTENTIAL
 
Srigala di balik jahat
Srigala di balik jahatSrigala di balik jahat
Srigala di balik jahat
 
Portafolio final de tecnologia. 1
Portafolio final de tecnologia. 1Portafolio final de tecnologia. 1
Portafolio final de tecnologia. 1
 
NMFS_1995_Cetacean_Survey
NMFS_1995_Cetacean_SurveyNMFS_1995_Cetacean_Survey
NMFS_1995_Cetacean_Survey
 
Tb fajri mulyana dan havid habibaullah
Tb fajri mulyana dan havid habibaullahTb fajri mulyana dan havid habibaullah
Tb fajri mulyana dan havid habibaullah
 

Similar a JMMH_3-4_p264-271 Improving patient satisfaction R.H. Koop

ICT4Health 2015 - J Watkins
ICT4Health 2015 - J WatkinsICT4Health 2015 - J Watkins
ICT4Health 2015 - J Watkinsfortuin2015
 
Oral presentation1
Oral presentation1Oral presentation1
Oral presentation1wadha1979
 
Presentation of the SIG TEL 4 Health
Presentation of the SIG TEL 4 HealthPresentation of the SIG TEL 4 Health
Presentation of the SIG TEL 4 HealthHendrik Drachsler
 
NURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docxNURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docxstirlingvwriters
 
Introduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdfIntroduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdfbkbk37
 
Evaluation of the Inpatient Hospital Experience while on Precautions
Evaluation of the Inpatient Hospital Experience while on PrecautionsEvaluation of the Inpatient Hospital Experience while on Precautions
Evaluation of the Inpatient Hospital Experience while on PrecautionsKathryn Cannon
 
826 Unertl et al., Describing and Modeling WorkflowResearch .docx
826 Unertl et al., Describing and Modeling WorkflowResearch .docx826 Unertl et al., Describing and Modeling WorkflowResearch .docx
826 Unertl et al., Describing and Modeling WorkflowResearch .docxevonnehoggarth79783
 
Informatics and nursing 2015 2016.odette richards
Informatics and nursing 2015 2016.odette richardsInformatics and nursing 2015 2016.odette richards
Informatics and nursing 2015 2016.odette richardsOdette Richards
 
Health informatics
Health informaticsHealth informatics
Health informaticsPinki Barman
 
xPatient_Eurecat_20160921_EN
xPatient_Eurecat_20160921_ENxPatient_Eurecat_20160921_EN
xPatient_Eurecat_20160921_ENFelip Miralles
 
Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...
Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...
Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...John Reites
 
136 Electronic Patient Reported.docx
136 Electronic Patient Reported.docx136 Electronic Patient Reported.docx
136 Electronic Patient Reported.docxwrite12
 
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docx
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docxRunning head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docx
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docxtodd271
 
Holistic nursing research
Holistic nursing researchHolistic nursing research
Holistic nursing researchMaybelle Animas
 
NR505 Advanced Research Methods Evidence-Based Pract.docx
NR505 Advanced Research Methods  Evidence-Based Pract.docxNR505 Advanced Research Methods  Evidence-Based Pract.docx
NR505 Advanced Research Methods Evidence-Based Pract.docxvannagoforth
 
Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...
Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...
Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...Austin Publishing Group
 

Similar a JMMH_3-4_p264-271 Improving patient satisfaction R.H. Koop (20)

ICT4Health 2015 - J Watkins
ICT4Health 2015 - J WatkinsICT4Health 2015 - J Watkins
ICT4Health 2015 - J Watkins
 
Oral presentation1
Oral presentation1Oral presentation1
Oral presentation1
 
Presentation of the SIG TEL 4 Health
Presentation of the SIG TEL 4 HealthPresentation of the SIG TEL 4 Health
Presentation of the SIG TEL 4 Health
 
NURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docxNURS 521 Nursing Informatics And Technology.docx
NURS 521 Nursing Informatics And Technology.docx
 
Introduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdfIntroduction Healthcare system is considered one of the busiest.pdf
Introduction Healthcare system is considered one of the busiest.pdf
 
Patient-Centered Pharmacovigilance
Patient-Centered Pharmacovigilance Patient-Centered Pharmacovigilance
Patient-Centered Pharmacovigilance
 
Evaluation of the Inpatient Hospital Experience while on Precautions
Evaluation of the Inpatient Hospital Experience while on PrecautionsEvaluation of the Inpatient Hospital Experience while on Precautions
Evaluation of the Inpatient Hospital Experience while on Precautions
 
826 Unertl et al., Describing and Modeling WorkflowResearch .docx
826 Unertl et al., Describing and Modeling WorkflowResearch .docx826 Unertl et al., Describing and Modeling WorkflowResearch .docx
826 Unertl et al., Describing and Modeling WorkflowResearch .docx
 
s12913-015-0927-8
s12913-015-0927-8s12913-015-0927-8
s12913-015-0927-8
 
Informatics and nursing 2015 2016.odette richards
Informatics and nursing 2015 2016.odette richardsInformatics and nursing 2015 2016.odette richards
Informatics and nursing 2015 2016.odette richards
 
Health informatics
Health informaticsHealth informatics
Health informatics
 
xPatient_Eurecat_20160921_EN
xPatient_Eurecat_20160921_ENxPatient_Eurecat_20160921_EN
xPatient_Eurecat_20160921_EN
 
Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...
Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...
Listening to the Patient - Leveraging Direct-to-Patient Data Collection to Sh...
 
136 Electronic Patient Reported.docx
136 Electronic Patient Reported.docx136 Electronic Patient Reported.docx
136 Electronic Patient Reported.docx
 
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docx
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docxRunning head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docx
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docx
 
Holistic nursing research
Holistic nursing researchHolistic nursing research
Holistic nursing research
 
NR505 Advanced Research Methods Evidence-Based Pract.docx
NR505 Advanced Research Methods  Evidence-Based Pract.docxNR505 Advanced Research Methods  Evidence-Based Pract.docx
NR505 Advanced Research Methods Evidence-Based Pract.docx
 
Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...
Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...
Perspectives on Transitional Care for Vulnerable Older Patients A Qualitative...
 
manajemen rumah sakit 5
manajemen rumah sakit 5manajemen rumah sakit 5
manajemen rumah sakit 5
 
International Journal of Reproductive Medicine & Gynecology
International Journal of Reproductive Medicine & GynecologyInternational Journal of Reproductive Medicine & Gynecology
International Journal of Reproductive Medicine & Gynecology
 

JMMH_3-4_p264-271 Improving patient satisfaction R.H. Koop

  • 1. 264 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 DOI: 10.1179/175330310X12918040319694 R. H. Koop Started his career as a ostomy care nurse. Five years ago he registered as a nurse practitioner after the master advanced nursing practice. Specialities are patient education, colonic surgery and proctology. J. M. Klaase is an oncology/gastro- enterology/proctology surgeon at the Medisch Spectrum Twente (hospital). J. van der Palen Phd epidemiology, clinical epidemiologist, professor evaluation and assessment in healthcare research at the University of Twente. P. A. M. Kommers His interest is media, learning and visual communication. His Master study in 1980 formulated algorithms for adaptive learning. In his PhD study he questioned how conceptual representations may support the cognitive integration in learning. He was Scientific Director of NATO Advanced Research Workshop: ‘Cognitive Technologies’ in 1989. http://users.edte.utwente.nl/ko mmers. A. J. Sanders University of Twente. J. Jonker University of Twente. Introduction Patients that have to undergo a large bowel operation for cancer are in a vulnerable period of their life. As a consequence, a surgical intervention will entail a number of reactions.1 Fear of the unknown, about the operation and the outcome of the operation, plays a significant role. Often there are concerns about the psychological, social and physical consequences of the operation. To meet these concerns, patients often want as much information about the operation as possible. They gladly get involved in decisions that must be made about the treatment.2 Information is essential, especially in the period before the treatment. Nevertheless, many patients diagnosed with colon cancer do not receive adequate information.3 Health literacy and coping behaviour are important aspects in information transfer which are sometimes underestimated.4 Patient information has to be tailored to the learning capacity of the individual patient, taking into account already existing knowledge, fear and stress, the learning need and their capacity to absorb information.5–6 Using a web application to improve satisfaction among patients undergoing surgery R. H. Koop, J. M. Klaase, J. van der Palen, P. A. M. Kommers, A. J. Sanders and J. Jonker Abstract The study explores whether patient satisfaction is increased when a web application is used to inform patients about a surgical intervention. A randomised single centre study was conducted. The study population consisted of 32 patients that underwent an elective colon resection for colon cancer (15 in the experimental and 17 in the control group; patient characteristics were equally divided between both groups). The study group got the information with the web application from the nurse practitioner at least 10 days before surgery; the control group was given the standard oral information by the nurse practitioner. Satisfaction level was measured with a validated patient satisfaction questionnaire directly after giving the information and two weeks after the surgical intervention. The results indicate that patients are more satisfied when information is given by means of a web application. Given that expectations regarding hospital admission are more realistic when information is given in the optimal manner, this has consequences for the use of multimedia information techniques in healthcare in the near future. R. H. Koop Department of Surgery Medisch Spectrum Twente Postbus 50.000 7500 KA Enschede E-mail: r.koop@mst.nl Keywords: patient satisfaction, web application, colon resection, information provision, PATSAT32
  • 2. Using a web application to improve patient satisfaction © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 265 Information can be transmitted in several manners to the patient. Most commonly, information is given orally. Folder material is frequently used to support the oral information. The frequency of information given using a computer and animations is rising. However, information transfer is not always well coordinated and sometimes the patient even hears contradictory information from different care workers. While some patients seek further information through the internet, this information is not tailored to the individual and, in certain cases, is simply incorrect. According to Marple, the absence of unmet expectations increases the level of patient satisfaction.7 In 2005, we started developing and testing an individualised programme to inform patients with colon cancer using a web application.8 Patients and methods After obtaining informed consent, 32 patients aged 40–85 years (mean age 67), without serious audiovisual or mental handicaps, were included in the study between May 2006 and December 2007 (see Table 1). All patients had to undergo elective colon resections (a right or left hemicolectomy for large bowel cancer). Patients were randomised to an experimental group and a control group. Fifteen patients were allocated to the experimental group, and 17 patients to the conventional group. Patient satisfaction was measured with the EORTC PATSAT32, a validated ordinal questionnaire9 of 32 items with scores of 1–5 by item. There are 32 topics in this questionnaire, ranging from satisfaction with information to satisfaction with speed for medical tests. The instrument has been developed specifically to measure the satisfaction of oncological patient. Local ethical committee approval was obtained. Experimental group The experimental information consisted of an initial interview conversation with the surgeon, in which minimal information about the diagnosis and operation was given. The surgeon requested informed Experimental group Conventional group Number 15 17 Gender Male 9 6 Female 6 11 Mean age: 67 years Level of education No education 0 1 Basic education 4 7 Practice oriented education 9 9 University 1 0 Knowledge of illness Present 3 3 Not present 12 14 Table 1: Patient characteristics
  • 3. Koop, Klaase, van der Palen, Kommers, Sanders and Jonker 266 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 consent from the patient. Having provided this consent, the respondent attended an extra outpatient appointment to receive the information. The information was given by means of a web application with an information path through which several information items were passed (see Figures 1 and 2). The information was given by the nurse practitioner. The experimental information consisted of a number of animations, texts and images related to the patient’s disorder. The information items Figure 1: Screenshot animations from the web application Figure 2: Screenshot animations from the web application
  • 4. were the same for all patients, but the information content was tailored to the individual patient, for example, a patient undergoing a left hemicolectomy received different information from patients undergoing a right hemicolectomy. Afterwards, a print-out of the discussed information was given to the patient. The patient received the first questionnaire immediately after the information was given. Because the first questionnaire had to be completed before the operation, a number of the PATSAT32 questionnaire items were not appropriate. We therefore used a modified version of the PATSAT32. At first measurement, we also asked about satisfaction concerning the information material used. Following the operation and discharge, patients received the second questionnaire consisting of the original PATSAT32. In addition to the questionnaire, we asked for a general judgment concerning the information that was given on an ordinal scale of 0–5. The web application used for the study was developed by the University Twente. Development was informed by the available literature on the use of web applications and with the assistance of a multidisciplinary expert panel. The present study commenced following a pilot study to test a prototype of the web application.8 Conventional group Patients in the conventional (control) group underwent an initial interview with the surgeon. The surgeon requested informed consent from the patient. Having provided this consent, the respondent attended an extra outpatient appointment to receive the information. The oral information was given by the nurse practitioner. Patients in the conventional information group received the same questionnaires as the patients in the experimental group. Questionnaires and analysis The satisfaction of the patients in the experimental group was compared with the satisfaction of patients in the conventional group. For ongoing normal divided variables, this was done using a t-test. For not-normal divided variables, a Wilcoxon’s Rank Sum test was used. All items on the questionnaires were transformed linearly to a scale of 0 to 100, with 100 representing the highest level of satisfaction. The questionnaire was subdivided into a number of multi-item scales. This made it possible to evaluate the social and technical skills, information provision and availability of the doctor and nurse, kindness, helpfulness and information supply by other hospital staff, waiting times and accessibility, exchange of information (communication between departments/care workers), hygiene and comfort in the hospital and general satisfaction. Results Of the 35 patients approached, three refused to participate in the study, citing insufficient time to complete the questionnaires. Of the 32 participants, 30 (94 per cent) returned the first questionnaire. After the Using a web application to improve patient satisfaction © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 267
  • 5. Koop, Klaase, van der Palen, Kommers, Sanders and Jonker 268 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 intervention and discharge from the hospital, the second questionnaire was sent. Twenty-six (81 per cent) of the second questionnaires were returned. Of the 32 patients, one died due to postoperative complications. With regards to patient characteristics, there were no significant differences between both groups. Patient education Patients in the experimental group spent an average of 45 minutes (range 32–60 minutes) at the computer. For a number of items in the web application, additional oral information was given by the nurse when requested. These items were mainly ‘pathology’ and the item ‘after the dismissal from the hospital’. Questions regarding the practical aspects of discharge and pathology arose frequently; such questions included timing of the pathology report and care at home after discharge. These items were not discussed in the web application and patients indicated that they needed more information about these items. Thirteen patients were able to launch the web application without any problems, but two patients found the web application did not function properly due to a technical problem (no connection with internet and/or problems with the server of the web application). Communicating the conventional information took an average of 60 minutes (range 45–90 minutes). In most instances, an anatomical drawing was used. Results of the first questionnaire Patient satisfaction was measured directly after the intervention by means of a modified PATSAT32 questionnaire in both groups. There was a significantly higher satisfaction in the experimental group with respect to information supply by doctor and nurse (p ϭ 0.03 and p ϭ 0.01 respectively). In addition, kindness and helpfulness were judged higher in the experimental group (p ϭ 0.001). The judgment concerning the appliances used for information provision was significantly higher in the experimental group (p ϭ 0.04) (Table 2). Results of the second questionnaire The second questionnaire (PATSAT32) was completed up to three weeks after discharge from the hospital. In the experimental group, information provision by the doctor (p ϭ 0.04) was again judged significantly higher (Table 3). The information provision of the nurse showed no significant difference (p ϭ 0.22). At the second test point, however, the nurse’s technical skills, such as measuring blood pressure and handling the computer, were judged significantly better (p ϭ 0.05). General satisfaction scored higher in the experimental group (p ϭ 0.04). Discussion The present study shows that the use of a web application with tailored information results in higher patient satisfaction compared with the use
  • 6. of conventional oral information alone. In general, it seems that the optimal use of information techniques makes patients’ expectations about the planned hospital admission and surgical intervention become more realistic, leading to improved patient satisfaction. Patient satisfaction will become a more important outcome measure in the near future.10,11 Studies with the PATSAT32 questionnaires have shown that patient satisfaction with hospital care is independent of morbidity, treatment type, and quality of life outcomes. It may therefore be used to generate feedback to providers of healthcare to improve patients’ experiences of Using a web application to improve patient satisfaction © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 269 Experimental group Conventional group Mean score SD Mean score SD (%) (%) (%) (%) p-value Doctors Social skills 71.4 16.9 58.9 21.2 0.09 Technical skills 75.6 15.8 62.2 20.4 0.06 Information provision 78.3 16.3 60.6 27.1 0.03 Availability 68.3 19.4 63.5 15.7 0.47 Nurses Social skills 70.5 17.2 64.4 19.8 0.39 Technical skills 73.3 17.6 61.7 20.9 0.10 Information provision 71.7 22.9 60.2 20.0 0.01 Availability 70.0 22.0 59.3 23.5 0.21 Other personnel Kindness and helpfulness 71.7 18.6 55.0 14.0 0.01 Waiting time Waiting time and speed 66.7 25.7 52.3 15.3 0.07 Access Ease of access hospital 51.7 21.0 52.3 27.5 0.94 Exchange of information 55.4 22.3 51.7 24.0 0.67 Cleanness and comfort 55.0 19.4 56.3 25.0 0.87 Opinion of used 70.0 19.4 57.8 19.8 0.04 education material Table 2: Results first measurement (modified questionnaire) Experimental group Conventional group Mean score SD Mean score SD (%) (%) (%) (%) p-value Doctors Social skills 62.1 26.4 56.4 20.5 0.56 Technical skills 74.3 17.2 60.7 21.5 0.09 Information provision 78.5 16.1 55.4 20.6 0.04 Availability 68.8 19.6 56.3 22.3 0.16 Nurses Social skills 70.5 16.4 57.7 24.4 0.16 Technical skills 72.9 15.9 58.3 20.4 0.05 Information provision 67.4 17.6 55.6 26.9 0.22 Availability 69.3 19.7 57.1 23.4 0.18 Other personnel Kindness and helpfulness 66.7 21.5 50.0 24.7 0.10 Waiting time Waiting time and speed 61.4 22.0 51.8 16.9 0.23 Access Ease of access hospital 51.0 21.6 48.1 26.4 0.76 Exchange of information 54.2 17.9 46.2 30.4 0.44 Cleanness and comfort 52.1 16.7 46.4 27.5 0.54 General satisfaction 79.2 20.9 62.5 19.0 0.04 Table 3: Results of the second measurement (PATSAT32)
  • 7. Koop, Klaase, van der Palen, Kommers, Sanders and Jonker 270 © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 treatment. Web-based information provision may become an obligatory aspect of the preoperative setting. The concept of computer-based information is not new. Within the healthcare system, the use of web applications for information provision is rising. In most studies, a web application is used as a decision tool.12 In the present study, the web application was developed to tailor the information to the individual situation. The function of the nurse practitioner is thus of paramount importance as they structure the information path so that the patient is not overwhelmed with irrelevant data. The nurse practitioner function is relatively new in The Netherlands. The EORTC PATSAT32 questionnaire is not ready for this new function as only the performance of doctors and nurses is requested. It was highly interesting to observe that patients did not know whether they were being informed by a nurse or a doctor. This begs the question: how does the patient see the nurse practitioner? A super-nurse or a mini-doctor? In any case, the information provision skills of both healthcare workers were judged better in the experimental group, suggesting that some patients viewed the nurse practitioner as a nurse and some as a doctor. The advantage of information provision using a web application is that the information can be easily adapted to new insights in the disease or new operative techniques. One must bear in mind, however, that the development of a web application (especially one with animations) costs a lot of time and money. The web application will also require an administrator to adapt the information items. Financial support is therefore essential. In the present study, we observed that the animations used within the web application seemed to give patients much more clarity concerning the planned operation. Further research is needed to look at factors like health literacy and coping behaviour which could influence how patients appreciate the animations. Other factors to be studied include the specific influence of age and level of education. As translations of spoken language in the web application have been developed, the impact of the web application on information provision in other languages should also be studied. Ultimately, we can consider the possibilities of combining patient information with the multidisciplinary electronic patient file, thus giving tailored information to the oncological patient in the appropriate amount and at the right moment by different healthcare workers. Acknowledgment The development of the web application was made possible by a grant from Sanofi Aventis. References 1. Moene, M., Bergbom, I. and Skott, C. (2006) ‘Patients’ existential situation prior to colorectal surgery’, Journal of Advanced Nursing, Vol. 54, No. 2, pp. 199–207. 2. Thomas, R., Daly, M., Perryman, B. and Stockton, D. (2000) ‘Forewarned is forearmed: benefits of prepatory information on video cassette for patients receiving chemotherapy or radiotherapy. A randomised controlled trial’, European Journal of Cancer, Vol. 36, pp. 1536–1543.
  • 8. 3. Jones, R., Pearson, J., McGregor, S., Gilmour, W. H., Atkinson, J. M., Barrett, A., Cawsey, A. J. and McEwen, J. (1999) ‘Cross sectional survey of patients’ satisfaction with information about cancer’, BMJ 319, pp. 1247–1248. 4 Paasche-Orlow, M. K., Parker, R. M., Gazmararian, J. A., Nielsen-Bohlman, L. T. and Rudd, R. R. (2005) ‘The prevalence of limited health literacy’, Journal of General Internal Medicine, Vol. 20, pp. 175–184. 5. Jackson, J. L., Chamerlin, J. and Kroenke, K. (2001) ‘Predictors of patient satisfaction’, Social Science and Medicine, Vol. 52, pp. 609–620. 6. Jackson, J. L. and Kroenke, K. (1997) ‘Patient satisfaction and quality of care. Military Medicine, 162, 273–277. 7. Marple, R., Lucey, C., Kroenke, K., Wilder, J. and Lucas, C. (1997) A prospective study of concerns and expectations in patients presenting with common symptoms’, Archives of Internal Medicine, Vol. 157, No. 13, pp. 1482–1488. 8. Bruikman, H. (2006) ‘Formative evaluation of a computer based information system’, unpublished master of sciences human research dissertation, University of Twente Enschede. 9. Bredart, A., Bottomley, A., Blazeby, J. M., Conroy, T., Coens, C., D’Haese, S., Chie, W. C., Hammerlid, E., Arraras, J. I., Efficace, F., Rodary, C., Schraub, S., Costantini, M., Costantini, A., Joly, F., Sezer, O., Razavi, D., Mehlitz, M., Bielska-Lasota, M. and Aaronson, N. K. (2005) ‘An international prospective study of the EORTC cancer in patient satisfaction with care measure (EORTC IN-PATSAT32)’, European Journal of Cancer, Vol. 41, pp. 2120–2131. 10. Tomlinson, J. S. and Ko, C. Y. (2006) ‘Patient satisfaction: an increasingly important measure of quality’, Ann Surg Oncol, Vol. 13, No. 6, pp. 764–765. 11. Mills, M. E. and Sullivan, K. (1999) ‘The importance of information giving for patients newly diagnosed with cancer: a review of the literature’, J Clin Nurs, Vol. 8, No. 6, pp. 631–42. 12. Murray, E., Burns, J., See, T. S., Lai, R. and Nazareth, I. (2005) ‘Interactive health communication applications for people with chronic disease’, The Cochrane Database of Systematic Reviews, Oct 19;(4):CD004274. Using a web application to improve patient satisfaction © W. S. Maney & Son Ltd. 2010. Journal of Management & Marketing in Healthcare. VOL. 3 NO. 4. PP 264–271. DECEMBER 2010 271