Content uploaded by Margareta Warrén Stomberg
Author content
All content in this area was uploaded by Margareta Warrén Stomberg
Content may be subject to copyright.
Health Information: What Can Mobile Phone Assessments Add?
Health Information: What Can Mobile
Phone Assessments Add?
by Margareta Warrén Stomberg, RNA, PhD; Birgitta Platon, RNA; Annette Widén, RN;
Ingegerd Wallner, RN; and Ove Karlsson, MD
Abstract
In healthcare, pain assessment is a key factor in effectively treating postoperative pain and reducing
the risk of developing chronic pain. The overall aim of this study was to investigate whether a mobile
phone support system can be used as a basis to continuously document patients’ health information in real
time and provide conditions for optimal, individual pain management after cholecystectomy and
hysterectomy procedures.
In this pilot study, two randomly selected groups of patients provided information about their pain for
one week postoperatively. One group responded via cell phones, and the other, a control group, responded
using paper-based questionnaires.
The mobile phone system was found to provide a fast and safe basis for reporting pain
postoperatively in real time. The results indicate that on days 3 and 4 the mobile phone group reported
significantly higher levels of pain than the control group, and the cholecystectomy patients reported
significantly more pain at movement on days 3 and 4 than the hysterectomy patients.
The mobile phone approach is an adaptation to modern technology and the mobility of individuals.
This technology is user friendly and requires minimal support. However, as the sample size was small (n
= 37), further studies are needed before additional conclusions can be drawn.
Keywords: mobile technology; pain management
Introduction
Today, the amount of surgery being performed on a day-surgery (outpatient) basis or using the
enhanced recovery after surgery (ERAS) protocol is continuously increasing, which requires a well-
established routine to follow up on pain and other symptoms postoperatively.1
Pain assessment is a key factor in successful pain management, and numerous studies show the
necessity of treating postoperative pain effectively to reduce the risk of patients’ later developing chronic
pain.2–6 Consequently, a prerequisite for optimal pain treatment is continuous pain assessment, also after
discharge. Information that patients themselves provide is important in clinical research; however,
collecting patient-reported survey data is a challenge.
One method of data collection available for almost all Swedes is mobile phones. Similarly, much of
the worldwide population is also able to send and receive information this way. Thus, a flexible way of
obtaining health information is through its documentation via patients’ own mobile phones. In this
method, data from the mobile phone are directly transferred to a database available at the hospital, which
gives the patient more freedom because a measured value can be entered whenever the patient chooses or
2 Perspectives in Health Information Management, Fall 2012
it is requested. The method also enables professionals to adjust pain treatment immediately after receiving
data from the patient, thus also giving staff a more individualized concept of how the pain develops
throughout the day. This technique was tested in a pilot study, after which a more interactive and
comprehensive study of this technology will be implemented in our postoperative recovery process.
Objectives
The primary aim of this study was to investigate whether a mobile phone support system can, in real
time, provide a basis for obtaining continuous health information and provide conditions for optimal,
individual pain management. The secondary aim was to evaluate a mobile computer system for capturing
data (Medipal, Novatelligence AB, Stockholm, Sweden).
Methods
At random, an intervention group (using mobile phones to evaluate pain) and a control group
(responding by questionnaires) were created. The questions regarding pain evaluation were the same for
both groups and used a graded, numerical scale from 0 to 100. This pilot study was carried out from the
spring of 2010 until January 2011 at a university hospital in Sweden.
Participants
Adult patients who understood the Swedish language in speech and writing and could manage their
own mobile phones were invited to participate. Patients whose journal entries indicated alcohol and/or
drug abuse or memory impairment were excluded. Forty relatively healthy patients ranging in age from 18
to 66 years were allocated from the surgical waiting list. Of these, 20 patients had been admitted for a
planned vaginal hysterectomy and 20 for a laparoscopic cholecystectomy. After informed consent, during
the preoperative stage, these patients were randomized to either the mobile phone group or the control
group (Table 1 and Figure 1).
Mobile Phone Group
The patients in the mobile phone group were informed and thoroughly trained, preoperatively as well
as prior to their discharge from the hospital, to document their pain levels on the mobile phone every four
hours (from 8 a.m. to 8 p.m.). Furthermore, the participants in the mobile phone group and the charge
nurses had access to technical support and written instructions during the study period. Additional
assessments could be initiated by the patients at any time of the day.
Control Group
While these participants were given the same information regarding the pain evaluation questions as
the mobile phone group, they were required to answer them on paper-based questionnaires every four
hours for a period of four days after surgery. Additional pain assessments could be made on the
questionnaires by the patients at any time of the day.
Procedure
The study began in the hospital the day of surgery. Prior to the study period, the software program
was installed in the patients’ own mobile phones.
Each patient was given information individually and had the opportunity to test the application and
provide test answers. The functionalities of the mobile phone, including how to move from question to
question both forward and backward, as well as how to input a response and use the navigation keys, were
carefully explained.
The follow-up of the mobile phone group was conducted by using a numeric rating scale from 0 to
100 (0 = no pain, 100 = terrible pain) with a mobile computer system, Medipal (Novatelligence AB,
Stockholm, Sweden). After waking from the anesthesia, the patients’ mobile phones initiated pain
Health Information: What Can Mobile Phone Assessments Add?
measurements by a “push” function every four hours, for a period of six days following surgery. If the
patient did not respond, a reminder in the form of an incoming Short Message Service (SMS) was sent
once, after 13 minutes. The specified response time was a feature built into the program itself. Each
question appeared separately in real time on the mobile phone screen and disappeared from the screen
immediately after the response was given.
Communication was transferred between the handset and the company´s server via the mobile
network GPRS, General Packet Radio Service. From the server, the encrypted health information was
available to dedicated staff members in hospital.
The strong encryption used by this technology ensured the safe transfer of information through the
system. All patient-related information that was sent from the mobile phone, whether iPhone, Android or
Java was encrypted. In addition, only authorized users had access to patient information, and user names
and passwords were required for access. If an incorrect password was entered three times, the service was
blocked and could only be activated manually by an authorized technician at Novatelligence. All traffic
between the web browser and website was encrypted with a certificate. Medipal’s servers and databases
are hosted at www.interoute.com, which is not only ISO27001 certified but also holds data and records
for some Swedish public healthcare providers. Furthermore, Medipal’s server has the same security and
requirements as those prescribed for all medical record administration within Swedish public healthcare.
Patients were also able to report additional assessments between the specified time periods if they
experienced especially painful episodes. All health information was incorporated into the patients’ health
record. After six days, the nurse called the patient to remove the program from the mobile phone. At the
same time, designated nurses asked structured questions that focused on potential difficulties in managing
the mobile phone technology or in providing the daily responses to the questionnaires.
The control group received the follow-up questionnaire before surgery and was asked to reply to the
questions at the same points in time as the mobile phone group, starting immediately after waking from
the anesthesia. These questionnaires were returned in a prepaid envelope after the study period. No
reminders were given to this group, which was followed up for four days postoperatively.
Analysis
The measured values for pain were compiled for the different time periods in each day. These values
were subsequently analyzed for the two surgical procedures and the intervention and control groups. The
mean level of measurements was calculated for each day. It was a requirement that a measurement could
only be analyzed if the same participant responded correctly at all of the specified times of the days. If the
response was incorrectly made, the value measured was not analyzed. All the additional measurements
reported between the specified times, from both groups, were analyzed separately.
Mantel’s test was used to compare pain intensity between the surgical procedures and between the
intervention and control groups. The amount of contact between the in-hospital care unit and the
participants was documented, as was the patients’ need for technical support from Medipal.
Ethical Considerations
The clinic manager approved this pilot study, and after informed consent the patients were instructed
on the technology. Their identity was encoded with a fictitious identifier when the data were transferred.
In addition, the Medipal company ensured that no unauthorized person could access the data transfer.
Results
A total of 40 patients were allocated to the two groups; 20 used the mobile phone technology and 20
(the control group) answered the paper-based questionnaire. In all, 37 patients completed the survey. The
response period began as soon as the patients were awake after surgery and continued for a period of six
days for the mobile phone group and four days for the control group. The day of surgery was regarded as
day 1 (see Table 1).
4 Perspectives in Health Information Management, Fall 2012
The response rate on the day of surgery (day 1) varied, resulting in 35 responses from the mobile
phone group and 41 responses from the control group. No patient in the control group provided the
responses completely for all of the specified times. When surgery was performed late in the afternoon,
more responses were missed on that day. On days 2–4 postoperatively, the response rate was 100 percent,
and no internal data were missing for either group. On days 5–6 the response rate was 69 percent for the
mobile phone group; the control group was not required to answer the questionnaire on those days (see
Figure 2).
As Figure 2 illustrates, no patient fully completed all the answers in the control group (paper-based
questionnaires) on day 1, while one patient did so in the mobile phone group.
The cholecystectomy patients reported significantly more pain at movement on days 3–4 than the
hysterectomy patients (p < .001). On days 3–4 the mobile phone group reported significantly higher pain
levels.
Overall, additional pain assessments were made on 28 occasions in the mobile phone group, and none
were made in the control group. These assessments showed that the average pain at rest was 65 (range
40–100) for all the participants, regardless of diagnosis, additional responses, and response method, and
the average pain level at rest was about 40 (range 0–100) on days 1–4. Altogether, the pain level tended to
be highest in the afternoon and evening.
Telephone Follow-up
After the sixth postoperative day, the patients were called to remove the program from their mobile
phones and at the same time to evaluate the technology. When patients were asked to rank the difficulties
in handling the mobile technology, from 1 to 10 (1 = no problem and 10 = very problematic), the mean
value was 1.31, which indicates that the technology was not difficult to handle. Three patients requested
technical support for a total of four times during the study period.
According to the patients, the technology was not time-consuming, and they were all willing to use
the method again. Several of them, regardless of age, clearly expressed their preference for the mobile
phone technology compared to answering the questionnaire.
The participants who responded using the paper questionnaires did not report any problems with the
technique, although a few commented on the difficulty of remembering to make their reports at specific
points of time. No one in the control group made any additional assessments.
Discussion
This study focused on methods for obtaining health information from patients after surgery. The
results indicate big differences between the number of pain measurement levels received from patients
using the mobile phone system and from those using the paper questionnaires. In addition, the assessed
levels of pain were significantly higher from patients using the mobile phone method. There is hardly any
reason to suppose that the mobile phone group experienced a higher level of pain, as both surgical
procedures require pain medication, and both were included in the same number. An explanation for the
difference, similar to reasons suggested by Dupont et al.,7 could be that an electronic system may provide
an anonymous environment that is perceived as safer than paper questionnaires, thus eliciting more
credible answers. This method can be considered especially valuable since private and sensitive questions
had to be answered. Patients may thus have a higher level of confidence in the privacy of the method,
which encourages responses.
This study also showed that no participant from the control group completed all the requested
responses on the day of surgery (day 1), while one participant in the mobile phone group did respond at
all of the specified times. Such a lack of response would be understandable if all the participants in the
control group had undergone surgery later in the day and were therefore not strong enough to answer the
paper questionnaire on that day, but this was not the case. According to Dupont, it can also be assumed
that when each question appears separately on the mobile phone screen and disappears from it
Health Information: What Can Mobile Phone Assessments Add?
immediately after the response is made, the desire to respond is facilitated.8 Since each question appears
separately on a screen, it may promote a more concentrated reflection on the individual issue, while a list
of questions on paper could disrupt the patients’ focus on a single question. On the other hand, perhaps
the patients simply felt more comfortable using the mobile phone.
Similar to our study, Matthew et al. found that when a comparison was made between a paper-based
method and a digital method in a randomized, controlled clinical study, there were fewer missing data
with the digital method, and it was preferred by 82.8 percent of the patients.9 Matthew et al. did not find
any significant correlation between age and difficulty in using the digital method, and neither did we in
this study.10
This study demonstrates that patients found the mobile phone system convenient to use and that it
was not a time-consuming method. A technology-based reminder to assess pain in real time provides
valuable information compared with paper-based surveys that might be answered later, thus requiring the
patient to recall the degree of pain that occurred some time ago. Similarly, Kristjansdottir found that
although the participants were required to answer questions through a digital system several times a day,
it was a user-friendly method.11
The development of such technology for sending and receiving different kinds of health-related
information is at the forefront of quick and secure information exchange. Electronic methods for
individual, patient-reported assessments not only add value over paper-based surveys, but they are also
becoming more acceptable and are perceived as providing a greater degree of confidentiality. When the
participants were randomized into the groups, most of them were interested in the mobile phone system,
and some expressed disappointment on being allocated to the control group. Although some of the older
mobile phones were unable to function with the Medipal program, causing a delay, most of the older
mobile phones were upgraded with the support of Medipal. Nevertheless, a few participants were
excluded since it was not possible to upgrade their mobile phones.
As home-based healthcare increases, including, for example, ambulatory surgery, so-called fast track
surgery, and ERAS, the communication between patients and caregivers needs to be improved.12 The
ongoing self-monitoring of pain and other symptoms by mobile phone appears to be an optimal method
that meets the challenge of following several vital signs in real time.
This method enables caregivers to ensure patient safety and provide optimal access to care through
regular mobile interaction with the patient. Another development will include smartphone applications for
the patients. Rosser and Eccleston found that mobile phone applications can be used for pain education.13
In addition, this mobile technology has been found to be a good distraction technique. A randomized,
controlled study demonstrated that anxiety was significantly reduced in the distraction technique group 45
minutes after operation, compared to the control group.14
Limitations and Areas for Further Study
The small number of participants, which is the main limitation of the study, prevents us from drawing
any established conclusions from analysis of the pain levels. A further significant disadvantage was not
carrying out the follow-up period for the same number of days for both groups. Additional study is thus
necessary.
A further development of this pilot study would be to provide feedback to the patient by sending
appropriate, individual information in real time, for example, details about changing the dosage of
analgesic and improving any symptom control at home. Adequate symptom control can capture pain
variations during the day and describe pain patterns over time as the patient moves about in the normal
daily environment.
Conclusion and Clinical Implications
In this study, it was found that the mobile phone system provided a safe method with which to
measure pain postoperatively in real time. On days 3–4 the mobile group reported significantly higher
6 Perspectives in Health Information Management, Fall 2012
levels of pain than the control group (p < .001). Furthermore, only the mobile phone group reported
additional pain measurements. Patients found the technique easy to use and were willing to use it again.
This project is an adaptation to modern technology and the mobility of individuals. As the use of
mobile phones is expected to increase in the coming years and as their screen size and usability improves,
there is reason to employ this technology more frequently in healthcare, which also helps the patient to
stay mobile. The technology will improve clinical efficiency and care coordination.15
Significant advantages of the mobile phone method for surveys are the real-time measured outcomes,
which are assumed to provide credible, monitored answers of different variables. This real-time
information also facilitates communication between patients and caregivers, which enables them to make
rapid decisions about individual treatment and improve health information.
Acknowledgments
We are grateful to Anna Cederlund and Marcus Smedman for their help.
Margareta Warrén Stomberg, RNA, PhD, is a senior lecturer and associate professor in health
sciences at the University of Gothenburg/Sahlgrenska Academy and Sahlgrenska University
Hospital/Östra in Gothenburg, Sweden.
Birgitta Platon, RNA, is a registered nurse anesthetist in the acute pain team in the gynecology and
obstetrics department at Sahlgrenska University Hospital/Östra in Gothenburg, Sweden.
Annette Widén, CCRN, is a critical care nurse in the acute pain team at Sahlgrenska University
Hospital/Östra in Gothenburg, Sweden.
Ingegerd Wallner, CCRN, is a critical care nurse in the acute pain team at Sahlgrenska University
Hospital/Östra in Gothenburg, Sweden.
Ove Karlsson, MD, is a physician in the anesthesia department at the women’s hospital of
Sahlgrenska University Hospital/Östra in Gothenburg, Sweden.
Margareta Warrén Stomberg, RNA, PhD; Birgitta Platon, RNA; Annette Widén, RN; Ingegerd
Wallner, RN; and Ove Karlsson, MD. “Health Information: What Can Mobile Phone
Assessments Add?” Perspectives in Health Information Management (Fall 2012): 1-10.
Health Information: What Can Mobile Phone Assessments Add?
Notes
1. Segerdahl, M., M. Warrén Stomberg, N. Rawal, M. Brattwall, and J. Jakobsson. “Clinical
Practice and Routines for Day Surgery in Sweden: Results from a Nation-wide Survey.” Acta
Anaesthesiologica Scandinavica 52, no. 1 (2008): 117–24.
2. Gartner, R., M. B. Jensen, J. Nielsen, M. Ewertz, N. Kroman, and H. Kehlet. “Prevalence of
and Factors Associated with Persistent Pain Following Breast Cancer Surgery.” Journal of the
American Medical Association 302, no. 18 (2009): 1985–92.
3. Kehlet, H., T. S. Jensen, and C. J. Woolf. “Persistent Postsurgical Pain: Risk Factors and
Prevention.” Lancet 367, no. 9522 (2006): 1618–25.
4. Kehlet, H., and J. P. Rathmell. “Persistent Postsurgical Pain: The Path Forward through Better
Design of Clinical Studies.” Anesthesiology 112, no. 3 (2010): 514–15.
5. White, P. F., and H. Kehlet. “Improving Postoperative Pain Management: What Are the
Unresolved Issues?” Anesthesiology 112, no. 1 (2010): 220–25.
6. Russ, A. J., L. D. Faucher, D. B. Gordon, T. A. Pellino, and M. J. Schurr. “Functional
Implications of Long-Term Pain Following Outpatient Inguinal Herniorrhaphy—a Prospective
Evaluation.” Journal of Surgical Research 169, no. 1 (2011): 25–30.
7. Dupont, A., J. Wheeler, J. E. Herndon II, A. Coan, S. Y. Zafar, L. Hood, M. Patwardhan, H. S.
Shaw, H. K. Lyerly, and A. P. Abernethy. “Use of Tablet Personal Computers for Sensitive
Patient-Reported Information.” Journal of Supportive Oncology 7, no. 3 (2009): 91–97.
8. Ibid.
9. Matthew, A. G., K. L. Currie, J. Irvine, P. Ritvo, D. Santa Mina, L. Jamnicky, R. Nam, and J.
Trachtenberg. “Serial Personal Digital Assistant Data Capture of Health-Related Quality of Life:
A Randomized Controlled Trial in a Prostate Cancer Clinic.” Health and Quality of Life
Outcomes 5 (2007): 38.
10. Ibid.
11. Kristjansdottir, O. B., E. A. Fors, E. Eide, A. Finset, S. van Dulmen, S. H. Wigers, and H.
Eide. “Written Online Situational Feedback via Mobile Phone to Support Self-Management of
Chronic Widespread Pain: A Usability Study of a Web-based Intervention.” BMC
Musculoskeletal Disorders 12 (2011): 51.
12. Adamina, M., H. Kehlet, G. A. Tomlinson, A. J. Senagore, and C. P. Delaney. “Enhanced
Recovery Pathways Optimize Health Outcomes and Resource Utilization: A Meta-analysis of
Randomized Controlled Trials in Colorectal Surgery.” Surgery 149, no. 6 (2011): 830–40.
13. Rosser, B. A., and C. Eccleston. “Smartphone Applications for Pain Management.” Journal
of Telemedicine and Telecare 17, no. 6 (2011): 308–12.
14. Mosso, J. L., A. Gorini, G. De La Cerda, T. Obrador, A. Almazan, D. Mosso, J. J. Nieto, and
G. Riva. “Virtual Reality on Mobile Phones to Reduce Anxiety in Outpatient Surgery.” Studies
in Health Technology and Informatics 142 (2009): 195–200.
15. Putzer, G., and Y. S. Park. “Are Physicians Likely to Adopt Emerging Mobile Technologies?
Attitudes and Innovation Factors Affecting Smartphone Use in the Southeastern United States.”
Perspectives in Health Information Management (Spring 2012): 1–22.
8 Perspectives in Health Information Management, Fall 2012
Table 1
Participants in the Survey and Their Demographic Characteristics
Type of Surgery
No. of
Participants
Assigned to
Mobile
Phone
Group
No. of
Participants
Assigned to
Control
Group
Estimated
No. of
Patients
Not
Included
Due to
Missing
Support
Function
in Their
Mobile
Phone
No. of
Dropouts
in the
Mobile
Phone
Group
No. of
Dropouts
in the
Control
Group
Mean
Age
(years)
*
Gender
(female/
male)
Hysterectomy
10
(5 patients
declined)
10
8
1
(technical
issues)
1
50
18/0
Cholecystectomy
10
10
12
0
1
43
14/5
* No significant difference, p = .176
Health Information: What Can Mobile Phone Assessments Add?
Figure 1
Flow Chart for the Survey in the Mobile Phone and Control Groups
10 Perspectives in Health Information Management, Fall 2012
Figure 2
Pain at Rest, Days 1–6 Postoperatively: Outcomes Measured through Questionnaires and Mobile
Phone System for Cholecystectomy and Hysterectomy Patients