Abstract
Objective: Patient-Reported Outcome (PRO) measures supported by a severity algorithm may serve as
a decision aid for triage and consultation in follow-up of patients with endometriosis. In a new follow-
up regime, patients filled out an endometriosis-specific questionnaire (EQ) at home before outpatient
consultation (tele-Patient-Reported Outcome Measures; telePROM). A severity algorithm was assigned
patients’ answers using a color code thereby reflecting the need of clinical attention. Our study aimed
to assess the test-retest reliability of the severity algorithm and of the single items as well as to evalu -
ate the face- and content validity of the EQ.
Methods
The study was carried out in a referral endometriosis clinic at a Danish University Hospital.
The validation was based on an initial version of the EQ, which was adjusted simultaneously with its
severity algorithm, to meet the purpose of this study. Reliability was assessed by a test-retest setting
of the questionnaire including patients with endometriosis, � 18 years and Danish speaking. Kappa
statistics and interclass correlation analyses were applied to assess test-retest reliability. Face- and con -
tent validity was explored by focus group interviewing of patients.
Results
In total, 14 patients answered the questionnaire twice. Results indicate that the EQ demon -
strated substantial reliability in three out of five domain indicators in the severity algorithm and 65%
of items with kappa values above 0.60. Further, focus-group interview of five patients resulted in add -
ing an open-ended question regarding important issues to discuss at the consultation.
Conclusion
TelePROM in outpatient follow-up of endometriosis is feasible as patients viewed the
questionnaire relevant for their clinical follow-up. Yet, due to the small sample size results should be
interpreted with caution. Further validation of the EQ is recommended.
ARTICLE HISTORY
Received 12 July 2024
Revised 12 February 2025
Accepted 17 February 2025
Keywords
Patient reported outcome
(PRO); endometriosis;
outpatient; reliability;
validity
Introduction
Endometriosis is a painful, chronic disease that affects up till
10% of women in their reproductive age
1
. Endometriosis is
defined as the presence of endometrial tissue outside the
uterus
2
, no cure exists and treatment options are both med -
ical and surgical
3
; surgery depending on severity and/or
symptom burden. Due to the chronic aspect the disease
requires repetitive standardized consultations and so far,
sparse is available regarding the optimal follow-up schedule
4
.
Moreover, there is a growing awareness that follow-up
should be more influenced by the patient’s own perception
of symptoms thereby focusing on symptom relief rather than
surgery, for which recurrence rates are high (40–50% in
5 years)
5 , 6
. The European Society of Human Reproduction
and Embryology’s Guideline on Endometriosis underlines
that follow-up should be further individualized based on pre -
vious and current treatments, and severity of the disease and
symptoms
4
.
Patient-reported outcome (PRO) measures is a well-known
tool to collect data about the patient’s health status reported
directly from the patient
7 , 8
, and thereby a potential valuable
instrument for individualized follow-up. When filled in
remotely, it is defined as telePRO
9
. PRO measures are widely
used in several settings, e.g. epilepsy, oncology and
CONTACT Maria Monberg Feenstra
[email protected]
Department of Gynecology and Obstetrics, Odense University Hospital; Research Unit of
Gynaecology and Obstetrics, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
Supplemental data for this article can be accessed online at https://doi.org/10.1080/03007995.2025.2470749.
� 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/),
which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
www.cmrojournal.com
CURRENT MEDICAL RESEARCH AND OPINION
2025, VOL. 41, NO. 2, 307–316
https://doi.org/10.1080/03007995.2025.2470749
Article ST-0706/2470749
pregnancy
10 , 11
. Potential advantages of PRO measures are
better monitoring of treatment on patients’ health
12
and
more tailored dialogues
12 , 13
. PRO may increase symptom
management actions in patients and healthcare professionals
(HCPs)
14
, early diagnosis
15
, and potentially better treatment
of symptoms and unmet needs through, e.g. medication,
self-management strategies and insight in the current state
of the disease
16 , 17
. In addition, PRO measures may support
HCPs as a decision support-tool, since patients can assess
their need of contact with the healthcare system and vice
versa through real-time monitoring of symptoms by use of
PRO
10 , 18
.
Currently, very limited data exist regarding the use of PRO
measures in follow-up of patients with endometriosis in an
outpatient setting. In a systematic literature review by
Nicolas-Boluda et al.
19
, they evaluated PRO measures for use
in endometriosis care, however, not identifying any current
use of PRO measures in routine clinical care. Yet patients
find patient-initiated follow-up in endometriosis valuable in
contrast to fixed controls
20
. As seen before, PRO measures
supported by a severity algorithm could aid in clinical deci -
sion-making during triage and consultations
9
.
PRO measures including a severity algorithm can be use -
ful and incorporated into general clinical practice and func -
tion as a tool for HCPs during patient visits, but it is crucial
that the collected data are precise in order to assess the
accurate disease or treatment burden
21
, as invalid outcomes
could pose a risk to patient safety and treatment effective -
ness. Validity and reliability constitute crucial psychometric
attributes of an instrument to ensure measurements are
accurate and dependable
22 , 23
.
The endometriosis-specific questionnaire (EQ) presented
in this study including a severity algorithm was originally
developed prior to this study to monitor patients’ health sta -
tus and need of outpatient follow-up. The algorithm was
applied to determine whether the contact should be with a
physician or a nurse and with a focus on strengthening per -
sonalized dialogue between patients and HCPs
24
. The pre -
sent algorithm employs three colors: Red (signifying a
significant problem encountered by the patient regarding
the item); Yellow (indicating a mild to moderate problem
experienced by the patient); and Green (denoting the
absence of any problems within the item as reported by the
patient). However, the EQ and algorithm was never
validated.
Objective
The objective of this study was to evaluate the test-retest
reliability of the severity algorithm used for triage, along
with single items of patients’ symptoms and general well-
being, collectively forming the endometriosis-specific ques -
tionnaire (EQ). Further, we aimed to evaluate the face- and
content validity of the endometriosis-specific question -
naire (EQ).
Methods
Development and preparation phase
The development of a first-version of the EQ and its severity
algorithm was done in close collaboration between patients
and HCPs representing six different Danish hospitals from
both regional and University Hospitals, representing four dif -
ferent Danish regions. The initial development of the EQ was
facilitated by AmbuFlex, Center for Patient Reported
Outcomes, in the Region of Central Denmark and consisted
of both observations of consultations, interviews with
patients, consensus meetings, and, finally, pilot testing in
nine patients with endometriosis. Observation of patients’
consultations and interviews were carried out to identify
symptoms and problems discussed during consultations.
Initial questions were discussed in terms of relevance and
understandability. The first-version of the EQ was then tested
in a small group of patients to evaluate patients understand -
ing of each question, the overall questionnaire, and its
intended purpose. Variation in the target group was sought
by age and location of endometriosis. The methods of “Think
aloud” and “Verbal probing”
25
was used to conduct cognitive
semi-structured interviews throughout the development pro -
cess and analysis of interviews was inspired from thematic
analysis
26
. Prior to this study, AmbuFlex reported in-depth
descriptions of the initial development process elsewhere in
Danish
26 , 27
, but their methods are reported internationally
9
.
However, the EQ was never validated.
In our validation study, the EQ and its severity algorithm
was reviewed and further adjusted with input from four
gynecologists specialized in endometriosis, along with feed -
back from one patient. All were affiliated with the single
study site; a tertiary referral endometriosis outpatient clinic
at a Danish University Hospital. In addition, the app named
“My Hospital” (in Danish: “Mit Sygehus”) was chosen for dis -
tribution of the EQ. A web-version (www.mitsygehus.dk) was
also available. The patient pilot tested the final and digital
version of the EQ before validation of the EQ.
Content of the endometriosis-specific questionnaire (EQ)
Relevant items were either adopted from previous validated
questionnaires, or developed when no relevant instruments
or items were identified. Questions about pain during peri -
ods, pain in between periods, and abdominal pain were
developed by AmbuFlex. Pain during defecation, when uri -
nating or breathing were adopted from Riiskjær et.al.
28
All
were measured by a numeric rating scale (NRS) from 0 to 10,
where 0 indicates no pain and 10 reflects worst pain ever
29
.
Symptoms reflecting feeling bloated, obstipated, having diar -
rhea, passing blood in stool, having nausea, vomiting, prob -
lems with urinating, frequent urination, and limitations in
regard to work or daily activities were inspired from the
European Organization for Research and Treatment (EORTC)
quality of life questionnaires
30
, since the questions are con -
sistent with symptoms reported among patients with endo -
metriosis. Questions about infertility and sexual function
(including dyspareunia) were adapted from the disease-
308
M. M. FEENSTRA ET AL.
specific questionnaire Endometriosis Health Profile (EHP-
30)
31
. WHO well-being index (WHO-5) was used to measure
mental well-being
32
, and one question from the question -
naire RAND Short-Form 36 (SF-36) was included in regard to
patients’ perceptions of their health in general
33
.
Further, questions added to the EQ were related to medi -
cation use (hormones, painkillers, and laxatives) and blood in
the urine. Likewise, symptoms related to pain in lower back
or back, shoulder, and legs, as well as two items regarding
the number of days required to stay at home or in bed were
created. Finally, two items were developed regarding part -
ner’s concern for their relationship with the patient and
understanding of the patient’s challenges. Overall, the EQ
consisted of 54 questions in total (Supplementary Material A).
Not all needed to be filled out, only those relevant for the
patient.
Five domain indicators were created, consolidating all
items in the EQ, and presenting an organized overview of
the patient’s problems by the following categories: Pain con -
cerning menstrual bleeding (“Pain bleeding”), Pain concern -
ing breathing, urinating or defecation (“Pain other”), Other
Symptoms including sexuality and infertility (“Symptoms”),
Well-being and depression (“Depression”), and Need of
Contact (“Contact”).
Adjustment of the severity algorithm
The purpose of the EQ was to support triage and dialogue in
outpatient follow-up care of patients with endometriosis. The
severity algorithm needed to be further developed for this
purpose. Answers to new questions added to the original EQ
were assigned a color by the team of endometriosis special -
ists at the study site. Each domain indicator was colored by
the item within the domain representing the worst color
code (e.g. red). Text summaries to support triage of patients
were developed by creating a flowchart visualizing the
domain indicator (worst color code of any symptom) com -
bined with the domain indicator “Contact” reflecting the
patient’s need of contact. A heat-map of an anonymized
dataset guided this process. The severity algorithm could
both be displayed per item, per domain indicator, and as a
text summary for the total PRO measures; generating a sug -
gestion as to whether the patient should see a physician or
a nurse (or displays no need to be seen at all) and selecting
the appropriate method (attendance at the clinic, video- or
phone consultation). Visualization of the EQ in the system
“My Hospital” can be seen in Supplementary Material B.
Clinical purpose of the endometriosis-specific
questionnaire (EQ)
Introducing the EQ for use in general routine outpatient follow-
up of all patients with endometriosis implied that every patient
booked for a follow-up consultation received the EQ automatic -
ally through the app “My Hospital”. The EQ was available to be
answered 14 days prior to their consultation. All responses were
stored in the medical record and a graphical PRO-overview of
the patient responses was generated. Further, responses could
be displayed over time (See Supplementary Material B). In add -
ition, patients could contact the clinic through a message-func -
tion in the app, requesting consultation. This was followed by a
distribution of the EQ to be completed by the patient through
the app. After reviewing the patient’s answers, the suggestions
generated by the severity algorithm, and reviewing the latest
notes in the electronic patient journal; the patient would be
booked for an outpatient consultation based on her current
symptom status to be consulted by either a physician or nurse,
and by relevant method, e.g. attendance at the clinic, video- or
phone. Nurses specialized in endometriosis were responsible
for reviewing patients’ answers ensuring relevant consultation
for the patient. The new PRO-based follow-up regime was
named tele-patient-reported outcome measures (telePROM).
Study population
Patients diagnosed with endometriosis from the study site
were invited to practice video consultations with the HCPs as a
new initiative. In addition, patients should fill in the EQ for the
HCPs to practice using the EQ for dialogue support. Patients
were screened for eligibility by a gynecologist specialized in
endometriosis. Inclusion criteria were diagnosis of endometri -
osis registered in the electronic patient journal, age � 18 years
and, in a stable period of endometriosis as they should not
need a physical examination. Exclusion criteria was patients,
who were not able to speak or read Danish. Patients for this
study were recruited after their video consultation, which all
were conducted in September 2019 as part of testing the new
initiative of video consultations.
All patients that fulfilled inclusion criteria were provided
with written information about the study before enrolling.
Additional verbal information was provided when needed. The
invitation was sent electronically through “e-Boks”
34
which is a
secure electronic mailbox for all citizens in Denmark.
Evaluation of test-retest reliability
All patients received the questionnaire (test 1) through an
app or web-version of “My Hospital” to be completed prior
to the video consultation with the physician and nurse.
Patients accepting the re-test assessment (test 2) were asked
to answer the same questionnaire again as to assess test-
retest reliability
35
. To avoid patients seeing previous answers,
the second questionnaire (re-test) was distributed through
SurveyXact. Non-responders were contacted two times; first
through e-Boks and secondly by telephone. No sample size
was calculated, as we approached all patients, striving to
meet the recommended number of 50 participants
36
.
Test-retest reliability of domain indicators
The EQ severity algorithm applied to each item a color code
(green, yellow, red) and summarized answers according to
the items in the five domain indicators. The primary analysis
concerned the five domain indicators. Test and re-test classi -
fications were tabulated, and the reliability quantified using
the intraclass (IC) kappa coefficient
37 , 38
. Confidence intervals
CURRENT MEDICAL RESEARCH AND OPINION
309
95% for the IC kappa were calculated using non-parametric
bootstrapping based on 1000 replications. Kappa values
were interpreted as follows �0.2 (slight), 0.21–0.4 (fair), 0.41–
0.6 (moderate), 0.61–0.8 (substantial), 0.81–1.0 (almost per -
fect)
39
. The analysis was performed by implementing the
intra-class kappa formula from Kraemer et al.
37
(section 2.1).
The code was tested by comparing to the SAS-procedure
given in Fisher et al.
38
and the two implementations were
found to coincide in a large, simulated data set. As a sensitiv -
ity analysis, the primary analyses were repeated after exclud -
ing participants, who changed their hormonal treatment
between the test and re-test.
Test-retest reliability of items
Secondary analyses were performed on the EQ item level.
Reliability of binary items was quantified using the IC kappa
as described above for the overall indicators. For continuous
and ordinal items, reliability is quantified as the intra-class
correlation coefficient (ICC), which was estimated from a
mixed model. The model included no fixed effects and a ran -
dom effect on the patient level (its variance component sig -
nifying the between-patient variation). The ICC was
calculated as the ratio of between-patient variance to the
total variance (between- plus within-patient variance), and a
confidence interval was constructed on logistic scale by the
delta method and then backtransformed. Model validation
was performed by inspection of residuals, fitted values and
BLUP estimates of random effects. Normality assumptions
were found to be violated for some items. Note that for
ordinal items, the ICC is equivalent to a weighted kappa
using quadratic weights
40
.
Evaluation of face- and content validity
We evaluated the face- and content validity of the EQ as
well as intended use and relevance by performing a focus
group interview (FGI) with a sub-sample of patients, who
had answered both questionnaires. A semi-structured inter -
view guide was developed to explore the relevance of the
questions in the EQ, the comprehensiveness as to no impor -
tant aspects of the construct should be missing, and finally
the comprehensibility as to the questions should be under -
stood by patients as intended
23
. Additional questions regard -
ing intended use of the questionnaire in clinical practice and
distribution options were added. The interview guide is pro -
vided in Supplementary Material C.
Before beginning the interview, patients read the ques -
tionnaire again (paper version). The interview was carried out
by the first author in November 2019, it lasted 58 min, was
audio-recorded and verbatim transcribed. First-author had
some experience in interviewing patients, and a nurse col -
league observed the participants during the interview as to
non-verbal communication and if everyone seemed to
express their opinion freely. Afterwards the first-author and
the nurse evaluated the overall quality of the interview
based on the observations. Final pilot testing on patients
from the endometriosis outpatient clinic was planned to
reassess face- and content validity regarding any adjustments
made based on the results of the FGI.
Other analyses
Descriptive summaries of baseline variables are presented as
median with interquartile range (IQR) for continuous variables
and as numbers (%) with percentage of total for categorical
variables. The Consensus-based Standards for the Selection of
health Measurement Instruments (COSMIN) Risk of bias check -
list was used for content validity and reliability
41–43
. All analysis
were performed by Stata 17 (StataCorp. 2021. Stata Statistical
Software: Release 17. College Station, TX: StataCorp LLC).
Results
Reliability
A total of 48 out of 291 screened patients were found eli -
gible and invited to fill in the EQ and participate in a video
consultation ( Figure 1 ). Overall, 26 patients accepted and
filled in the first questionnaire (test 1). Two patients were
unable to attend their video consultation, resulting in 24
patients invited for this study. A total of 14 patients
answered both the test and re-test questionnaire and were
included for data analysis. Questionnaires were answered
with a median duration of 34 days (IQR 13 days) and with a
range between patients’ answers of 27 days to 50 days.
Patients’ characteristics at baseline are displayed in Table 1 .
Kappa values estimates for the domain indicators in the
EQ ranged from slight to almost perfect
39
( Figure 2 ). Except
for the domain indicators “Contact” with a kappa value of
−0.01, 95% CI (-0.35–0.69), all disclosed kappa value esti -
mates above 0.41, 95% CI (-0.05 to 1.0) categorized as mod -
erate to almost perfect. When excluding patients, who
reported a change in hormonal treatment (n ¼ 5), lower
kappa value estimates between 0.30–0.60, 95% CI (-0.17–1)
were observed in three domain indicators (“Depression”,
“Symptoms”, “Pain bleeding”). Domain indicators “Pain other”
and “Contact” showed higher kappa value estimates of 0.30
and 1, 95% CI (-0.17–1) ( Figure 3 ).
Kappa value estimates of single items in the EQ are illus -
trated in Figure 4 . Low kappa value estimates were observed
in relation to questions about reporting blood in the urine
(0.00) or in the feces (0.143) and to having experienced pain
while bleeding during the last four weeks (-0.12). In total,
65% of items showed substantial reliability as kappa values
were 0.61 or above.
Face- and content validity
A total of six patients accepted to participate in a FGI. One
patient was unable to participate at the day of the FGI, leav -
ing five participants, aged 25–47. Time of diagnosis varied
from within the last year to 9–10 years ago. Patients were
generally satisfied with the questionnaire and its content. It
was easy to fill out digitally, and notifications were a relevant
Method
for distribution of reminders to fill out the EQ. A
310
M. M. FEENSTRA ET AL.
total of seven answer categories were modified. A single
open-ended question was added asking patients “Is there
anything else that is important for you to talk about at the
consultation?” . Patients stressed the importance of HCPs
using the EQ actively during consultation and having a clear
purpose of using the tool. The full results of the FGI are dis -
played in Supplementary Material D. Afterwards, the EQ was
pilot tested in two rounds at the study site with, respectively,
six and eight patients with endometriosis. Minor editorial
adjustments were made, and face- and content validity was
found acceptable for implementation in the endometriosis
outpatient clinic.
Discussion
Studies of PRO measures for routine follow-up of endometri -
osis are sparse. This study shows that the EQ had acceptable
face- and content validity amongst Danish patients with
Figure 1. Inclusion of study participants.
CURRENT MEDICAL RESEARCH AND OPINION
311
endometriosis, and that the EQ demonstrated substantial reli -
ability estimates in three out of five domain indicators as well
as 65% of items with kappa value estimates above 0.60. Yet,
the wide confidence intervals (CI) indicate that results should
be interpreted with caution due to the small sample size and
that no confirmatory conclusions as to the test-retest reliability
of the EQ can be made.
PRO measures during endometriosis follow-up
Face- and content validity is the most important property of
an instrument
23
. Our study pointed out that patients found
the questions relevant as well as appropriate for use during
outpatient follow-up. Several items are inspired from already
validated instruments; e.g. the NRS is relevant for pain meas -
urement in endometriosis
29
, Rand SF-36 and its psychometric
properties are well documented
44
and EHP-30 has been vali -
dated in Danish
45
. Patients addressed the need of the possi -
bility to add further information unique for the individual
patient, e.g. that bleeding persists even after a hysterectomy;
reflecting that some items needed a possibility for further
elaboration with a focus on individual considerations.
Collectively, these findings contribute to the groundwork,
serving as the basis for future adaptation and integration of
the EQ in outpatient follow-up of endometriosis.
Test-retest of a hormone-dependent disease
As endometriosis is a hormone-dependent disease, symptoms
might vary during a short period of time, making it complex to
ensure a stable study population in the test-retest period. In a
test-retest study among patients with endometriosis
45
, an inter -
val of more than four weeks (i.e. more than a menstrual period)
was chosen with our study having a range between patients’
answers of 27 days to 50 days.
Our results might reflect patients had a benefit of receiving
a video-consultation during the test-retest period as not all
domain indicators and items demonstrated fair kappa values.
Negative kappa values could indicate that the study population
had been too homogeneous as to all having symptoms from
endometriosis in the same degree, and the study population
not reflecting much variance in disease severity. This would
affect the kappa value. In respect to patients’ need of contact
with the outpatient clinic, seven out of ten patients did not
report having a need for contact in test 2. This result might
reflect the fact that patients had a video consultation with an
HCP between test 1 and test 2, and the study design could
Table 1. Participants’ characteristics at time of test 1, N ¼ 14.
Age, median (IQR) 40.6 (18.5)
Hormonal treatment
a
, n (%) 11 (78.57)
Hormone spiral (Mirena, Kyleena or Jaydess) 5 (35.71)
Mini-pills 4 (28.57)
Birth control pills 3 (21.43)
Anti-hormones (e.g. Zoladex) 3 (21.43)
Estrogen (for example together with hormones) 2 (14.29)
Algorithm domain indicators in test 1
Pain bleeding, n (%)
Green
b
6 (42.86)
Yellow
b
4 (28.57)
Red
b
4 (28.57)
Pain other, n (%)
Green
b
4 (28.57)
Yellow
b
4 (28.57)
Red
b
6 (42.86)
Symptoms, n (%)
Green
b
0 (0)
Yellow
b
4 (28.57)
Red
b
10 (71.43)
Depression, WHO-5, n (%)
Green
b
4 (28.57)
Yellow
b
10 (71.43)
Red
b
0 (0)
Contact, n (%)
Green
b
4 (28.57)
Yellow
b
0 (0)
Red
b
10 (71.43)
Depression, WHO-5, median (IQR) 48 (44)
Patient perceived health (SF-36), n (%)
Excellent/very good 4 (28.57)
Good 3 (21.43)
Fair/poor 7 (50)
a
Patients could report more than one treatment option.
b
Green indicating no problem, yellow indicating mild to moderate problem
and red indicating significant problem.
Figure 2. Test-retest reliability of domain indicators.
312
M. M. FEENSTRA ET AL.
have caused a bias in patients feeling better supported at test
2 due to the video consultation with a HCP.
Use of PRO measures in clinical practice
In this study, patients underlined the importance of knowing
the actual purpose of the questionnaire. Like other studies
46 , 47
,
patients advocated for HCPs to use their answers actively dur -
ing follow-up consultations. To do so, special attention must
be given to both patients and HCPs when implementing
telePROM in outpatient follow-up. A special focus should be
on information and training in using the EQ. When the EQ sup -
ported by the severity algorithm is used as a decision aid for
patients’ actual need and choice of consultation method, it
should not stand alone but include additional data from the
electronic patient journal in evaluating the patient’s actual dis -
ease burden
48
. It adds to the safety of the initiative, as each
patient is thoroughly evaluated by combining relevant data
from different sources, which should be described in local
guidelines to support HCPs during implementation and in
daily clinical practice. Further, if PRO measures are to be used
for clinical research it is important to acknowledge that PRO
measures represent a snapshot of patients’ experiences, which
can fluctuate rapidly due to the hormonal influence upon
endometriosis as a disease. Moreover, awareness of the data
collection timing should be considered as it may influence the
data, whether it is collected, e.g. before, on the day of consult -
ation or in the following days.
Figure 3. Test-retest reliability of domain indicators sens hormones.
Figure 4. Test-retest reliability of single items.
CURRENT MEDICAL RESEARCH AND OPINION
313
Limitations
There are limitations to consider in this study. The study
population represents only Danish-speaking patients as the
questionnaire was in Danish, and thus; for use in other lan -
guages the questionnaire needs to be translated and
validated according to relevant COSMIN guidelines. Today,
non-Danish speaking patients have the possibility to bring a
relative to translate and/or fill in the questionnaire in the
app but this study cannot be valid nor feasible regarding
such patients. The participant rate was below COSMIN rec -
ommendations of a minimum of 50 patients as sample
size
36
, wherefore there could be a risk of selection bias and
thus a reduced generalization of the results. Reasons for
dropouts were not recorded, but may be influenced by the
fact that video consultation took place on a Saturday.
More research is needed to further validate and test the
reliability of the instrument in patients with endometriosis.
To determine change over time, each construct or item
could be provided with a filter question as to whether there
has been any changes since the last questionnaire was filled
out. In telePROM, additional information about the patient
were available in the follow-up procedure; e.g. the patient’s
electronic journal, messages in-between consultations with
the endometriosis team sent through the app as well as
patient’s own assessment of the need of a consultation self-
reported in the EQ. Therefore, patients’ PRO measures
become an integrated part of different data sources used for
triage of the patient. Finally, the EQ has been further revised
since data collecting in 2019, why more tests of validity and
reliability are recommended, which are also of great impor -
tance of improving data quality
49
.
Conclusion
Our study is one of the first to test psychometric properties of
a Danish EQ for use in routine outpatient follow-up. Results
demonstrated an acceptable face- and content validity of the
EQ, and patients reported the instrument as relevant during
outpatient follow-up. Implementation is feasible as the EQ
would be supplemented by several data sources, when decid -
ing upon patients’ need and type of consultation. Due to the
small sample size further psychometric validation of the EQ and
in a broader sample of patients is recommended.
Transparency
Declaration of funding
This study is funded by the Department of Clinical Research, University
of Southern Denmark and Department of Gynecology and Obstetrics,
Odense University Hospital. The funding body had no role in the design
of the study, choice of methods, data collection, analysis or reporting of
the results.
Declaration of financial/other relationships
The authors have no relevant affiliations or financial involvement with
any organization or entity with a financial interest in or financial conflict
with the subject matter or materials discussed in the manuscript. This
includes employment, consultancies, honoraria, stock ownership or
options, expert testimony, grants or patents received or pending, or roy -
alties. Peer reviewers on this manuscript have no relevant financial or
other relationships to disclose.
Author contributions
The first- and last author contributed to the study conception, design,
Material
preparation and data collection. Data analysis were performed
by Simon Bang Kristensen, Maria Monberg Feenstra and Martin Rudnicki.
The first draft of the manuscript was written by Maria Monberg Feenstra
and all authors commented on previous versions of the manuscript. All
authors read and approved the final manuscript.
Acknowledgements
We would like to send a special thank you to the patients participating
in this study and providing us their unique perspectives and valuable
data on symptoms and general well-being. An acknowledgement to Dr
Poul Bak Thorsen, MD, PhD for skillful assistance and discussion during
the preparation phase and data collection of this study. Lastly, thank
you to all funding organizations contributing to the realization of this
study.
Data availability statement
The data supporting the findings of this study are not publicly available
due to restrictions, e.g. patients have not consented hereto, and data
contain personal information.
Ethical statement
Approval from the Data Protection Agency of the Region of Southern
Denmark was granted (jrn.nr 20/35407) for this study. Approval from the
local Ethics Committee was not required according to Danish law. All
patients in this study gave informed consent to participate.
ORCID
Maria Monberg Feenstra
http://orcid.org/0000-0002-3645-0543
Anne Sidenius
http://orcid.org/0000-0002-8680-8769
Charlotte Nielsen
http://orcid.org/0000-0002-8920-7758
Simon Bang Kristensen
http://orcid.org/0000-0002-5533-6922
Martin Rudnicki
http://orcid.org/0000-0002-5115-1445
References
0[1] Horne AW, Saunders PTK. SnapShot: endometriosis. Cell. 2019;
179(7):1677–1677.e1. doi: 10.1016/j.cell.2019.11.033.
0[2] Kennedy S, Bergqvist A, Chapron C, et al. ESHRE guideline for the
diagnosis and treatment of endometriosis. Hum Reprod. 2005;
20(10):2698–2704. doi: 10.1093/humrep/dei135.
0[3] Lemaire GS. More than just menstrual cramps: symptoms and
uncertainty among women with endometriosis. J Obstet Gynecol
Neonatal Nurs. 2004;33(1):71–79. doi: 10.1177/0884217503261085.
0[4] European Society of Human Reproduction and Embryology
Guideline Development Group. Endometriosis. Guideline of
European Society of Human Reproduction and Embryology; 2022
[cited 2024 Jul 4]. Available from: https://www.eshre.eu/
Guidelines-and-Legal/Guidelines/Endometriosis-guideline.
0[5] Horne AW, Missmer SA. Pathophysiology, diagnosis, and manage -
ment of endometriosis. BMJ. 2022;379:e070750. doi: 10.1136/bmj-
2022-070750.
314
M. M. FEENSTRA ET AL.
0[6] Saunders PTK, Horne AW. Endometriosis: etiology, pathobiology,
and therapeutic prospects. Cell. 2021;184(11):2807–2824. doi: 10.
1016/j.cell.2021.04.041.
0[7] US Department of Health and Human Services Food and Drug
Administration. Guidance for industry: patient-reported outcome
measures: use in medical product development to support label -
ing claims; 2009 [cited 2023 Sep 9]. Available from: https://www.
fda.gov/media/77832/download.
0[8] de Vet Ht CB, Mokkink BL, Knol DL. Measurement in medicine.
1st ed. New York Cambridge University Press; 2011.
0[9] Hjollund NHI, Larsen LP, de Thurah AL, et al. Patient-reported
outcome (PRO) measurements in chronic and malignant diseases:
ten years’ experience with PRO-algorithm-based patient-clinician
interaction (telePRO) in AmbuFlex. Qual Life Res. 2023;32(4):
1053–1067. doi: 10.1007/s11136-022-03322-9.
[10] Videns-og Kompetencecenter for Brugerinddragelse i
Sundhedsvæsenet (ViBIS). Program PRO. Anvendelse af PRO-data
i kvalitetsudviklingen af det danske sundhedsvæsen – anbefalin -
ger og vidensgrundlag. [Program PRO. Use of PRO data in the
quality development of the Danish healthcare system – recom -
mendations and knowledge base]; 2016 [cited 2024 July 4].
Available from: https://danskepatienter.dk/sites/danskepatienter.
dk/files/media/Publikationer%20-%20Egne/B_ViBIS/A_Rapporter%
20og%20unders%C3%B8gelser/program_pro-rapport.pdf.
[11] Chen A, V €ayrynen K, Schmidt A, et al. The impact of implement -
ing patient-reported measures in routine maternity care: a sys -
tematic review. Acta Obstet Gynecol Scand. 2022;101(11):1184–
1196. doi: 10.1111/aogs.14446.
[12] Valderas JM, Kotzeva A, Espallargues M, et al. The impact
of measuring patient-reported outcomes in clinical practice: a
systematic review of the literature. Qual Life Res. 2008;17(2):179–
193. doi: 10.1007/s11136-007-9295-0.
[13] Ishaque S, Karnon J, Chen G, et al. A systematic review of rando -
mised controlled trials evaluating the use of patient-reported out -
come measures (PROMs). Qual Life Res. 2019;28(3):567–592. doi:
10.1007/s11136-018-2016-z.
[14] Howell D, Molloy S, Wilkinson K, et al. Patient-reported outcomes
in routine cancer clinical practice: a scoping review of use, impact
on health outcomes, and implementation factors. Ann Oncol.
2015;26(9):1846–1858. doi: 10.1093/annonc/mdv181.
[15] Ballard KD, Seaman HE, de Vries CS, et al. Can symptomatology
help in the diagnosis of endometriosis? Findings from a national
case-control study–Part 1. BJOG. 2008;115(11):1382–1391. doi: 10.
1111/j.1471-0528.2008.01878.x.
[16] Lavallee DC, Chenok KE, Love RM, et al. Incorporating patient-
reported outcomes into health care to engage patients and
enhance care. Health Aff (Millwood). 2016;35(4):575–582. doi: 10.
1377/hlthaff.2015.1362.
[17] Lancaster K, Abuzour A, Khaira M, et al. The use and effects of
electronic health tools for patient self-monitoring and reporting
of outcomes following medication use: systematic review. J Med
Internet Res. 2018;20(12):e294. doi: 10.2196/jmir.9284.
[18] Aiyegbusi OL, Hughes SE, Peipert JD, et al. Reducing the pres -
sures of outpatient care: the potential role of patient-reported
outcomes. J R Soc Med. 2023;116(2):44–64. doi: 10.1177/
01410768231152222.
[19] Nicolas-Boluda A, Oppenheimer A, Bouaziz J, et al. Patient-
reported outcome measures in endometriosis. J Clin Med. 2021;
10(21):5106. doi: 10.3390/jcm10215106.
[20] Chainrai M, Kershaw VF, Gray TG, et al. Patient-initiated follow-up
in gynaecology: patient and clinician views. Eur J Obstet Gynecol
Reprod Biol. 2024;298:18–22. doi: 10.1016/j.ejogrb.2024.04.032.
[21] Kottner J, Audig �e L, Brorson S, et al. Guidelines for reporting reli -
ability and agreement studies (GRRAS) were proposed. J Clin
Epidemiol. 2011;64(1):96–106. doi: 10.1016/j.jclinepi.2010.03.002.
[22] Mokkink LB, Boers M, van der Vleuten CPM, et al. COSMIN risk of
bias tool to assess the quality of studies on reliability or measure -
ment error of outcome measurement instruments: a Delphi study.
BMC Med Res Methodol. 2020;20(1):293. doi: 10.1186/s12874-020-
01179-5.
[23] Terwee CB, Prinsen C, Chiarotto A, et al. COSMIN methodology
for assessing the content validity of PROMs–user manual.
Amsterdam: VU University Medical Center; 2018.
[24] Region of Central Denmark. Endometriose [Endometriosis]. 2024.
https://www.fagperson.sundhed.rm.dk/til-ansatte-og-samarbejd -
spartnere/ambuflex/pro-losninger/kvindesygdomme-og-fodsler/
endometriose/.
[25] Beatty PC, Willis GB. Research synthesis: the practice of cognitive
interviewing. Public Opinion Quarterly. 2007;71(2):287–311. doi:
10.1093/poq/nfm006.
[26] Ambuflex. Test af spørgeskema om endometriose [Test of endo -
metriosis questionnaire]; 2019. p. 1–45.
[27] Ambuflex. Spørgeskema om endometriose. Patientinddragelse
[Questionnaire about endometriosis. Patientinvolvement]; 2018.
p. 1–17.
[28] Riiskjær M, Egekvist AG, Hartwell D, et al. Bowel endometriosis
syndrome: a new scoring system for pelvic organ dysfunction
and quality of life. Hum Reprod. 2017;32(9):1812–1818. doi: 10.
1093/humrep/dex248.
[29] Bourdel N, Alves J, Pickering G, et al. Systematic review of endo -
metriosis pain assessment: how to choose a scale? Hum Reprod
Update. 2015;21(1):136–152. doi: 10.1093/humupd/dmu046.
[30] Aaronson NK, Ahmedzai S, Bergman B, et al. The European
Organization for Research and Treatment of Cancer QLQ-C30: a
quality-of-life instrument for use in international clinical trials in
oncology. J Natl Cancer Inst. 1993;85(5):365–376. doi: 10.1093/
jnci/85.5.365.
[31] Jones G, Kennedy S, Barnard A, et al. Development of an endo -
metriosis quality-of-life instrument: the Endometriosis Health
Profile-30. Obstet Gynecol. 2001;98(2):258–264. doi: 10.1016/
s0029-7844(01)01433-8.
[32] Topp CW, Østergaard SD, Søndergaard S, et al. The WHO-5 Well-
Being Index: a systematic review of the literature. Psychother
Psychosom. 2015;84(3):167–176. doi: 10.1159/000376585.
[33] Bjorner JB, Thunedborg K, Kristensen TS, et al. The Danish SF-36
Health Survey: translation and preliminary validity studies. J Clin
Epidemiol. 1998;51(11):991–999. doi: 10.1016/s0895-4356(98)
00091-2.
[34] Postnord Na. eBoks. 2023 [cited 2023 Nov 28]. Available from:
https://private.e-boks.com/danmark/en.
[35] Mokkink LB, Terwee CB, Patrick DL, et al. The COSMIN study
reached international consensus on taxonomy, terminology, and
definitions of measurement properties for health-related patient-
reported outcomes. J Clin Epidemiol. 2010;63(7):737–745. doi: 10.
1016/j.jclinepi.2010.02.006.
[36] Mokkink LB, Prinsen CA, Bouter LM, et al. The consensus-based
standards for the selection of health measurement instruments
(COSMIN) and how to select an outcome measurement instru -
ment. Braz J Phys Ther. 2016;20(2):105–113. doi: 10.1590/bjpt-rbf.
2014.0143.
[37] Chmura Kraemer H, Periyakoil VS, Noda A. Kappa coefficients in
medical research. Stat Med. 2002;21(14):2109–2129. doi: 10.1002/
sim.1180.
[38] Fisher Glr DG, Neri E, Art N, et al. Measuring test-retest reliability:
the Intraclass Kappa. SAS Conf Proc. 2019:1–9.
[39] Landis JR, Koch GG. The measurement of observer agreement for
categorical data. Biometrics. 1977;33(1):159–174. doi: 10.2307/
2529310.
[40] Fleiss JL, Cohen J. The equivalence of weighted Kappa and the
intraclass correlation coefficient as measures of reliability. Educ
Psychol Measure. 1973;33(3):613–619. doi: 10.1177/0013164
47303300309.
[41] Mokkink LB, de Vet HCW, Prinsen CAC, et al. COSMIN risk of bias
checklist for systematic reviews of patient-reported outcome
measures. Qual Life Res. 2018;27(5):1171–1179. doi: 10.1007/
s11136-017-1765-4.
[42] Prinsen CAC, Mokkink LB, Bouter LM, et al. COSMIN guideline for
systematic reviews of patient-reported outcome measures. Qual
Life Res. 2018;27(5):1147–1157. doi: 10.1007/s11136-018-1798-3.
CURRENT MEDICAL RESEARCH AND OPINION
315
[43] Terwee CB, Prinsen CAC, Chiarotto A, et al. COSMIN methodology
for evaluating the content validity of patient-reported outcome
measures: a Delphi study. Qual Life Res. 2018;27(5):1159–1170.
doi: 10.1007/s11136-018-1829-0.
[44] Bjorner JB, Damsgaard MT, Watt T, et al. Tests of data quality,
scaling assumptions, and reliability of the Danish SF-36. J Clin
Epidemiol. 1998;51(11):1001–1011. doi: 10.1016/s0895-
4356(98)00092-4.
[45] Hansen KE, Lambek R, Røssaak K, et al. Health-related quality of
life in women with endometriosis: psychometric validation of the
Endometriosis Health Profile 30 questionnaire using confirmatory
factor analysis. Hum Reprod Open. 2022;2022(1):hoab042. doi: 10.
1093/hropen/hoab042.
[46] Grove BE, Valen Schougaard LM, Ivarsen P, et al. Remote follow-
up based on patient-reported outcomes in patients with chronic
kidney disease: a qualitative study of patient perspectives. PLoS
One. 2023;18(2):e0281393. doi: 10.1371/journal.pone.0281393.
[47] Mejdahl CT, Schougaard LMV, Hjollund NH, et al. Patient-reported
outcome measures in the interaction between patient and clin -
ician – a multi-perspective qualitative study. J Patient Rep
Outcomes. 2020;4(1):3. doi: 10.1186/s41687-019-0170-x.
[48] Schougaard LMV, Friis RB, Grytnes R, et al. Exploring the nurses’
perspective on using remote electronic symptom monitoring in
clinical decision-making among patients with metastatic lung
cancer. Semin Oncol Nurs. 2023;39(6):151517. doi: 10.1016/j.
soncn.2023.151517.
[49] Schougaard LM, Larsen LP, Jessen A, et al. AmbuFlex: tele-
patient-reported outcomes (telePRO) as the basis for follow-up in
chronic and malignant diseases. Qual Life Res. 2016;25(3):525–
534. doi: 10.1007/s11136-015-1207-0.
316
M. M. FEENSTRA ET AL.
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.