Keywords
cancer - symptoms - mHealth - telehealth - communication
Background and Significance
Background and Significance
Patients with cancer arrive in the therapeutic setting with varying levels of symptomatology
and other types of responses to the cancer diagnosis and experience. Once treatment
begins, another profile of symptoms commences as toxicities and treatment-related
complications develop. These symptoms and the self-care required at home, and the
related psychological, social, family, and work impact of cancer and its treatment,
can be burdensome or overwhelming to many patients.[1]
[2] An exhaustive systemic review[3] documented cancer symptoms during active treatment as quite prevalent and severe.
Assessing and managing cancer symptoms and side effects (SX) is a major goal for both
patients and oncology clinicians. Standardized assessments of SX have been developed
and used widely in research studies to measure outcomes of treatments and interventions.
Assessments also have been used clinically, and been found to: (1) increase the depth
and breadth of discussions of SX,[1] and patient-reported emotional well-being[4]; (2) increase treatment of psychosocial issues and symptoms in patients in oncology[4]; and (3) reduce cancer symptom distress when combined with self-care patient education
and monitoring.[2]
As oral chemotherapies rapidly expand in oncology practice,[5] an increasingly significant concern involves patient medication adherence when these
oral agents are self-administered at home. Suboptimal or improper self-administration,[6] reduces treatment efficacy and increases toxicity[7] and leads to treatment delays, changes in treatment, and premature death.[8] Patients require systematic support for proper dosing and administration.[9] With new information technologies, assessments can increasingly be conducted with
computerized assessment, eliminating abstraction and data entry of paper forms, increasing
accuracy of reports, making summaries available to clinicians in real time, and facilitating
electronic communication. An SX assessment and management tool that is patient-centered
may allow patients to perform self-assessments, learn about SX management and self-administered
medications, and be coached in communicating with clinicians. An intervention that
combines evidence-based instructions, reminders, and monitoring tools summaries delivered
to clinicians with secured messaging may be a powerful tool in the management of patients'
SX concerns.
Cancer Symptoms
Cancer symptoms not only are indications of the physiologic changes associated with
disease and treatment toxicity, but also reflect linkages to patients' perceived reality,
including social, psychological, and cultural factors.[10] With the incidence of individual and groups of cancer symptoms[3] and psychosocial distress[11] at such a high levels across various diagnoses and stages and the apparent impact
of such experiences on the dimensions of quality of life, the consequences of inadequate
symptom management are complex and can be overwhelming to patients and their caregivers.
For example, severe mucositis or radiation-associated skin changes can put patients
at risk for additional complications.[12] Early screening for psychosocial distress may enable clinicians to identify patients
at higher risk and intervene to prevent development of crisis events, notably in those
diagnoses with the greatest symptom burden[13].
Making cancer symptom issues visible and discussed in the clinic can promote partnership
between clinicians and patients, validating the patients' experiences and enhancing
communication and satisfaction. Rapid, predictive screening may help reduce unnecessary
health care utilization costs and prolonged medical treatments, as well as enhance
quality of life. The challenge of efficient, systematic, and meaningful assessment
is important and in current clinical cancer settings, the American College of Surgeons
Committee on Cancer has set a standard for all accredited health care institutions.[14] As reviewed by Mooney et al,[15] randomized trials provide evidence that self-monitoring of cancer symptoms and associated
communication coaching result in lower symptom distress and better patient–clinician
communication. When clinicians are unaware of SX, particularly treatment-related toxicities,
there is danger of higher morbidity and even mortality related to unintentional overdosing.[12]
[16] Interventions to improve patient–clinician communication have been tested with positive
results.[1]
[17]
[18]
[19]
[20]
Medication Self-administration
Patients require systematic support for proper dosing and administration.[8] Systematic reviews of interventional studies for medication adherence support a
standardized multimethod approach to medication management that involves tailored
cognitive educational approaches[21] with psychosocial support strategies.[22] Additional use of written information and feedback and monitoring by nurses,[23]
[24] including management of SX, can provide educational reinforcement.
Usability and Acceptability
Most people have encountered usability difficulties in their everyday lives such as
trying to set the clock on the video player, ordering something online, and at self-check-outs
at libraries and grocery stores. Each of these tasks requires an interaction between
a human and a computer interface. If the interface is well designed, the application
may be quickly embraced by the end user; however, poor design cannot only turn away
potential users, but lead to measurement error and nondiffusion among target user
groups. There is a well-established body of research in usability and structured software
design methods,[25] and now it has been systematically applied to the development of patient-centered
software in health care venues.[26] Remote utilization rates of Web-based applications have varied from 34 (consecutive
clinic approaches) to 77% (self-selected volunteers) for unprompted use after enrollment
in cancer symptom studies.[2]
[27] Acceptability has typically been adequate; however, the use of a variety of different
measures by various investigative teams precludes comparison.
The purpose of this pilot, feasibility study was to evaluate a unique clinical deployment
of a computerized patient assessment of cancer SX, targeting a customized, patient-centered
intervention to coach the patient regarding communicating priority SX plus medication
self-administration prompts and patient–clinician communication messaging.
Objectives
Our three objectives were to: (1) evaluate the feasibility of iCancerHealth as an
adjunct to usual patient education regarding cancer symptoms and medication management,
with regard to (i) enrollment rates and (ii) utilization over a 2-month period; (2)
describe patient acceptability of iCancerHealth in general and the specific features;
and (3) explore clinician satisfaction with the iCancerHealth provider-side application.
Methods
Eligible patient participants were 18 years or older and had a diagnosis of any stage
malignant gastrointestinal (GI) disease, were receiving or planning treatment in the
GI clinic, spoke and read English, and had Internet/cellular access via either a personal
computer Web browser, iOS device (smartphone or tablet), or Android (phone only).
Patients were excluded from enrollment given a documented diagnosis of a psychiatric
depressive or cognitive impairment. Eligible clinician participants were nurses, physicians,
or physician assistants who performed consults/exams in the GI oncology clinic.
This was a single-arm, pilot study to quantify the feasibility and acceptability of
the iCancerHealth intervention. The app was provided free of charge to the investigators
from the vendor, Medocity, Inc. Native apps for iOS and Android were available, plus
a Web-based version for personal computer browser access.
Recruitment letters describing the elements of consent was sent to clinicians. Interested
clinicians were: (1) oriented to the application (app), (2) were asked to inform eligible
patients about the study during consultation, and (3) were asked to complete satisfaction
survey at the end of the study. Clinicians were not compensated for participating
in the study. Clinicians provided interested participants contact information to the
research coordinator, who approached the potential participant and obtained written
consent. All participants were provided with the opportunity to ask questions and
if not comfortable to opt out. Once written consent was obtained, the research coordinator
(1) helped the patient participant download the app and register an account, (2) oriented
the participant to all sections of the app, and (3) collected 1st baseline (T1) SX
assessment within the app. Patient participants were asked to use the app regularly
for up to 6 weeks and the research staff followed up weekly in person or through a
telephone call. At the 4 to 6 weeks' clinic visit, the last assessment (T2) was completed
and the patient participant was given a $50 gift card for their time and effort. Clinical
characteristics including diagnosis, stage, and treatment regimen were abstracted
from the patients' medical record.
For patient participants, iCancerHealth app features included real-time charting of
reported symptom experiences followed by clinician-approved self-care recommendations
based on the severity of symptoms. For severe symptoms, participants were instructed
to contact the clinician's office right away. Education to nutrition and fluid management
were included. A feature focused on medication management and adherence was provided
with autoreminder notifications. The calendar feature allowed entry of appointments
and other events. A community forum for peer support also was available for participants.
Participants were able to send secured messages through the app to the participating
clinicians. The provider side of the app provided alerts for patient participant's
SX at a predetermined threshold. Clinicians were expected to respond to the alerts
and read the secured messages on a daily basis. iCancerHealth was designed to be compliant
with the Health Insurance Portability and Accountability Act. All messaging and data
were sent through encrypted channels. A new version of the iCancerHealth app was released
toward the end of the study and we marked that time point for future analyses. Modules
and tabs were reorganized or renamed in the app, the three participants who were actively
using versions 1 were oriented to using the new version.
Based on our previous experience with remote access to a symptom reporting and self-care
instruction intervention in which 34% voluntarily (unprompted) accessed the Web-based
application,[28] we considered use of iCancerHealth feasible if at least a 34% remote access rate
was reached. The remote access rate was defined as accessing and using iCancerHealth
from a nonclinic location at least once. Additionally, we considered enrollment to
iCancerHealth feasible if at least 80% of the approached GI oncology patients participated.
A total of 70 patient participants were planned for this feasibility study and a 15%
attrition rate was expected. With 60 evaluable patient participants and complete T1–T2
data, the 95% confidence interval (CI) was planned to be no wider than 26%.
Outcomes
In a clinical cancer setting, all patient outcomes have been mediated by some aspect(s)
of the system and/or some patient aspect(s). Modes of patient engagement with self-care,
including symptom monitoring and clinician response to notices from patients about
high symptom burden, are applicable to the Health Outcomes Model, explicated by Mitchell
et al,[29] we selected outcomes that would begin to explain variables that ultimately can inform
larger trials to test patient quality of life and intervention outcomes.
Enrollment rates: Eligible patients approached to participate in the study were tracked through a
secure database that documented the number of consenting patients, reasons for refusal
to participate, and attrition.
Remote access and utilization rates: Use was defined as accessing app and clicking in any feature at least once. Utilization
was recorded electronically in the iCancerHealth app that tracked the number of times
a patient clicked on a given feature (calendar, community, dashboard, health tracker,
medical diary, inbox, medications, profile, nutrition, scrapbook, or settings). The
rate of utilization was defined as the proportion of patients accessing and clicking
on a feature in iCancerHealth at least once after the on-study demonstration. A remote
access and utilization rate of at least 34% would indicate feasibility of iCancerHealth
patient usage.
Acceptability (T2): All patient participants were presented six items on the Acceptability E-scale[30] plus feature-specific items at the conclusion of the T2 iCancerHealth assessment.
The items focused on how easy, how understandable, how enjoyable, how helpful, acceptable
amount of time, and overall satisfaction with the app. Possible responses ranged from
1 to 5, with 1 indicating a low level of agreement regarding acceptability of the
program and 5 indicating a high level. An average summed score of ≥ 24 is considered
adequate acceptability. The Acceptability E-scale has been found to have high consistency
and reliability and has been used in over 2,000 patients with cancer.[1]
[31]
[32]
Clinician satisfaction (end of study): A questionnaire adapted from the Acceptability E-scale was used to assess clinician
satisfaction relevant to how easy, how understandable, acceptable amount of time,
overall satisfaction, followed by whether the app identified appropriate issues, facilitated
electronic interactions, facilitated in-person interactions, and symptom notifications
promoted communication. Clinicians were asked to provide additional feedback with
one open-ended item.
Analysis
Descriptive statistics were used to summarize demographic and survey data. The enrollment
rate and utilization rate were estimated and reported with an exact 95% CI. Additionally,
the utilization of each feature was described. The total score for patients answering
the Acceptability E-scale was summarized (median/range, mean/standard deviation [SD]).
The number of clinicians indicating a score of at least 4 on a given Acceptability
E-scale item was tabled. Because a new version of the iCancerHealth app was released
during the study, all analyses were also summarized by version.
Results
Patient Participant Results
A total of 64 patients were approached to participate in the study of which 57 (89%;
95% exact CI, 79–95%) enrolled. Reasons given for declined participation included:
too much of a time commitment (n = 1), does not use technology to manage care (n = 2), participant uses other technology for care (n = 2), and unknown for 2 participants. Of the 57 patients enrolled, 43 (75%) used
version one exclusively, 11 (19%) used version two exclusively, and 3 (5%) used both
versions. Enrollment was halted early shortly after the release of a second version
of the app because of difficulties with the provider interface.
Overall participant demographics are outlined in [Table 1]. All participants received chemotherapy (injectable, infusion, and/or oral) with
44 (77%) receiving infusion chemotherapy alone or in combination. A majority (84%)
of participants indicated a preference for email as the way to receive health-related
reminders. Participants were allowed to select multiple preferences and other selected
methods included: 29 (51%) text message, 15 (25%) telephone, and 2 (4%) other (secure
email and “I like the personal touch”).
Table 1
Participant demographics (N = 57)
|
N
|
%
|
Age group (y)
|
≤ 49
|
9
|
15.79
|
50–59
|
19
|
33.33
|
≥ 60
|
29
|
50.88
|
Non-Hispanic[a]
|
56
|
98.25
|
Gender
|
Male
|
33
|
57.89
|
Female
|
23
|
40.35
|
Race/Ethnicity
|
Asian
|
3
|
5.26
|
Black
|
3
|
5.26
|
White
|
50
|
87.72
|
Working
|
No
|
27
|
47.37
|
Yes
|
30
|
52.63
|
Married/Partnered
|
No
|
16
|
28.07
|
Yes
|
40
|
70.18
|
Computer use
|
Sometimes
|
6
|
10.53
|
Often
|
12
|
21.05
|
Very often
|
39
|
68.42
|
Smartphone use
|
Never
|
6
|
10.53
|
Rarely
|
1
|
1.75
|
Sometimes
|
6
|
10.53
|
Often
|
5
|
8.77
|
Very often
|
39
|
68.42
|
Downloaded app
|
No
|
27
|
47.37
|
Yes
|
30
|
52.63
|
Education
|
9th–12th grade
|
5
|
8.77
|
2-y college
|
8
|
14.04
|
4-y college
|
20
|
35.09
|
Graduate degree
|
24
|
42.11
|
a Ethnicity not reported by one.
Participant feature utilization is displayed in [Table 2]. Overall, 53 participants (93%; 95% exact CI, 83–98%) used a minimum of one feature
at least once. Of those with version 1 (n = 43), 41 (95%; 95% exact CI, 84–99%) used the app. Of those with version 2 (n = 11), 10 (91%; 95% exact CI, 59–100%) used the app. Two of the three with both versions
used the app. The tracking of symptoms (Health Tracker) and subsequent messaging from clinicians (My Inbox) were most accessed.
Table 2
Feature utilization: overall and by version
Feature
|
Overall
(N = 57)
|
Version
|
Version 1
(N = 43)
|
Version 2
(N = 11)
|
Both
(N = 3)
|
N
|
%
|
N
|
%
|
N
|
%
|
N
|
Any use
|
53
|
93
|
41
|
95
|
10
|
91
|
2
|
Calendar
|
7
|
12
|
7
|
16
|
0
|
0
|
0
|
Community
|
25
|
44
|
20
|
47
|
4
|
36
|
1
|
Dashboard
|
24
|
42
|
19
|
44
|
3
|
27
|
2
|
Health Tracker
|
49
|
86
|
39
|
91
|
8
|
73
|
2
|
Medical Diary
|
18
|
32
|
15
|
35
|
3
|
27
|
0
|
My Inbox
|
36
|
63
|
31
|
72
|
5
|
45
|
0
|
My Medications
|
34
|
60
|
27
|
63
|
6
|
55
|
1
|
My Profile
|
30
|
53
|
25
|
58
|
4
|
36
|
1
|
Nutrition
|
26
|
46
|
21
|
49
|
5
|
45
|
0
|
Scrapbook
|
23
|
40
|
19
|
44
|
4
|
36
|
0
|
Settings
|
8
|
14
|
6
|
14
|
2
|
18
|
0
|
A total of 48 participants completed all of the 6 core acceptability items (easy,
understandable, enjoy, helpful, amount of time, and satisfaction) to compute a total
acceptability score of which the overall mean acceptability score was 24.8 (SD = 4.2).
The mean acceptability for version 1 (n = 37) was 24.5 (SD = 4.5) and 25.5 (SD = 3.7) for version 2 (n = 9). The proportion of participants indicating 4 or higher on each individual item
of the acceptability scale is summarized in [Table 3]. [Table 4] details the additional features scored if at least 20 participants responded to
the item. Communicating with the doctor and graphing of symptoms were reported as
the most acceptable features.
Table 3
The proportion of participants indicating > 4 on each acceptability item
High
acceptability
|
Overall[a]
|
Version
|
Version 1
|
Version 2
|
N
respond
|
N
≥4
|
%
|
N
respond
|
N
≥4
|
%
|
N
respond
|
N
≥4
|
%
|
Easy
|
51
|
45
|
88
|
40
|
35
|
87
|
9
|
8
|
89
|
Understandable
|
51
|
48
|
94
|
40
|
38
|
95
|
9
|
8
|
89
|
Enjoy
|
50
|
29
|
58
|
39
|
21
|
54
|
9
|
7
|
78
|
Helpful
|
50
|
23
|
46
|
39
|
16
|
41
|
9
|
6
|
67
|
Amount of time
|
51
|
45
|
88
|
40
|
34
|
85
|
9
|
9
|
100
|
Satisfaction
|
51
|
34
|
67
|
40
|
25
|
62
|
9
|
7
|
78
|
Total acceptability
|
48
|
31
|
65
|
37
|
23
|
62
|
9
|
6
|
67
|
a Includes all reporting patients (version 1, version 2, both versions).
Table 4
The proportion of participants indicating ≥ 4 on additional features for those items
answered by at least 20 participants
Item
|
Number
answering
|
Score ≥4
|
N
|
%
|
Messaging
|
24
|
21
|
88
|
Doctor communication
|
25
|
23
|
92
|
Graphs
|
27
|
20
|
74
|
Resources
|
21
|
15
|
71
|
Nutrition
|
22
|
13
|
59
|
Open-Ended Items
Of 57 participants, 41 provided a response regarding their favorite feature of the
app. The patient–clinician communication function was favored by 10 participants,
followed by the symptom tracking function (n = 9). Five participants identified the daily medication reminder as a favorite. Suggestions
from 24 participants regarding how to improve the app included: a more personalized
application in which the user only tracks symptoms that were actually experienced
(n = 5). The remaining suggestions from one or two participants each focused on further
tailoring and trending features, better responsive design for the smartphone user,
downloading and uploading functions, and integration with personal email. For the
few participants who did not use the app remotely, reasons given were personal characteristics,
not enough technology expertise (n = 4), and feeling too sick to use (n = 3).
Clinician Results
Three clinicians participated, all of whom were women and at least 30 years. One was
a Doctor of Medicine and the other two, advanced registered nurse practitioner and
registered nurse. Each had been in oncology practice for at least 6 years. All clinicians
accessed the following features at least once: community, dashboard, inbox, medication
and health alerts, my inbox, my profile, and participant dashboard. Two of the three
clinicians accessed: participant record, settings, and symptom management. One of
the clinicians used: medical diary and participant record. All three clinicians reported
that the patient participants' use of the app enhanced the subsequent in-person visits.
Open-Ended Clinician Responses
Each clinician wrote a response with suggestions for improvement. Common to each suggestion
was the difficulties caused by the version change during the study. Integration with
the institutional electronic medical record was identified as essential for future
use. Being able to visualize the self-care recommendation algorithm when alerted to
a moderate or severe symptom was suggested.
Discussion
In a sample of patients actively undergoing treatment for GI cancer, and who had Internet
access on a personal device, we found a high percentage of remote users and adequate
acceptability with the iCancerHealth app. Our criteria for patient participant success
in this pilot study were met.
A previous study[28] of a Web-based intervention for cancer symptom and quality of life self-care in
a more heterogeneous sample and without weekly prompting resulted in a much lower
utilization rate (34% vs. 93% this study). Our weekly reminders appear to have had
an impact on the high access rates. Ruland et al[27] in Norway reported a 77% unprompted access rate in a study of a Web-based program
to support patients with prostate or breast cancer with symptom monitoring and self-care.
That sample, recruited through advertisements in print media and one Web site, certainly
was self-selected in contrast to our consecutive patient recruitment in the clinic.
Similarly, in a recent pilot[33] of an app to monitor meals and self-care actions in participants with diabetes,
13 of 14 participants logged meal events over 30 days; it is unclear whether the participants
were prompted in any way.
The tracking of symptoms (Health Tracker) and subsequent messaging from clinicians (My Inbox) were among the most highly utilized features. The value of the combined symptom
reporting and communication with clinicians plus management information was evident
in the acceptability scores plus the responses to open-ended queries regarding favorite
feature. No other previous published study has detailed the acceptability of specific
program features. However, Ruland et al[34] described feature usage details in which the discussion forum and messaging of nurses
were most used. Messaging of clinicians was mainly automated in the iCancerHealth
app because of the threshold function in which an alert to the clinician was sent
for any symptom of a moderate to severe level. The community forum in our app was
not used frequently and may be explained by the fact that the community included users outside of the clinical site and was not a secured component of the
app.
Acceptability scores were higher than our preset threshold indicating adequate overall
acceptability for an electronic program. The lowest scored core item was how helpful was it to use the app/Web site; however, only about half the participants answered this item at the last data collection
time point.
All three clinicians reported high acceptability regarding how the app facilitated in-person interactions (telephone or in clinic) that occurred after patients used the app. Only one clinician
gave high scores to the items related to ease of use, identifying appropriate issues, and symptom notifications promoting communication. Open-ended item reports from the clinicians indicated that “glitches” in the provider
interface precluded higher ratings of the app. The request that the results of patient
reports appear in the enterprise medical record is consistent with clinician feedback
on recent app development for asthma symptoms.[35] The sponsor's decision to change the app version in the middle of the trial was
unfortunate and clearly not a best practice for future testing protocols.
Our findings are limited primarily by the inclusion criterion requiring personal access
to an Internet-enabled device and the racial and ethnic homogeneity of the recruited
sample. By requiring a personal device, we likely excluded those who were less technology
savvy. Participants may have enrolled to receive compensation for time and effort.
Our findings cannot be generalized beyond this typical, urban comprehensive cancer
center population.
Future researchers are encouraged to include measures of specific features used and
favored by participants. The impact of systematic reminders was substantial and should
be considered when mounting new changes in patient-reported outcomes. The high access
rates, subsequent to telephone prompting, suggest the utilization of a Web-based program
or app can be assured with such contact.
Our access rates and feature use findings are relevant to clinicians who promote Web-based
monitoring of cancer symptoms, whether through an institutional vendor portal or a
stand-alone system. Telephone follow-up by staff will likely enhance access rates.
Conclusion
The findings of this pilot study suggest that prompted patients with cancer who own
Internet-enabled devices are willing and able to report symptoms and communicate with
clinicians regularly in between clinic visits. These most frequently used features
by patient participants also were reported as most acceptable among all features.
Clinicians found the communication feature acceptable as well.
Clinical Relevance Statement
Clinical Relevance Statement
Patient–clinician communication about symptoms in between clinic visits is highly
utilized and valued by patients. A systematic approach to such a mechanism may result
in more engaged patients and better symptom management.
Multiple Choice Questions
Multiple Choice Questions
-
Web-based programs and apps for remote cancer symptom management have been tested
and found to:
-
Reduce symptom distress.
-
Integrate well with enterprise medical record systems.
-
Interfere with patient–clinician communication.
-
Increase depressive symptoms.
Correct Answer: The correct answer is option a (As cited in the article introduction, the only correct
outcomes in this list is option a).
-
Patient participants with gastrointestinal cancer favored which of the following iCancerHealth
features?
-
Community forum.
-
Nutrition.
-
Messaging with doctor.
-
Calendar.
Correct Answer: The correct answer is option c (results in [Table 4]; highest percent of high acceptability scores).