Abstract
Purpose Virtual reality (VR) based technology may offer new avenues in the management of chronic endometriosis-related
pain. Our prospective, 14-week, open, three-phase, cross-over pilot study investigated whether the use of VR technol-
ogy equipped with a relaxation-inducing application (VR-R) or an activity-stimulating application (VR-A) could change
endometriosis-related chronic pelvic pain levels and impairment of daily life.
Methods
23 women aged 32.7 (SD 8.2) with endometriosis-related pelvic pain were each assigned to a permutated sequence
of three 4-week phases: (A) the VR-R, (B) VR-A, and (C) intervention-free control phases. Phases were separated by two
interspersed 1-week washout phases. Main outcome measures included: momentary, average, and maximum pain intensities
on a 0–10 numerical rating scale (NRS); the Pain Disability Index (PDI) score; the Pain Catastrophizing Scale (PCS) score;
sleep quality (Medical Outcomes Study Sleep Scale (MOS-SS) score); the Depression Anxiety Stress Scales (DASS) score;
and the general health-related quality-of-life score (Short Form (12) Health Survey (SF-12)).
Results
Compared to baseline, VR-R use showed statistically significant positive effects for several scores (NRS “average
pain”; PDI “total score”; PCS “total score” and the “magnification”, “rumination”, and “helplessness” subscores; MOSS-SS
“index I and II”; and the DASS “depression” and “stress” subscores), whereas VR-A yielded significant positive changes
only for PDI “total score”; PCS “total score” and the “helplessness” and “magnification” subscores; MOSS-SS “index II”;
and DASS “depression” and “stress”. As four scale scores also showed significant improvements for control, a comparison
of the effects was performed to offset a potential placebo-like effect by comparing difference from baseline against control.
This analysis yielded significantly greater positive effects only for VR-R: PCS “total score” and “helplessness”; MOSS-SS
“index I” and “index II”; and the three DASS subscores “depression”, “anxiety”, and “stress”. SF-12 showed no significant
changes in either analysis.
Conclusions
VR-R and VR-A showed positive effects on several pain and quality-of-life scores, which were significant for
some scores compared to baseline. For VR-R, some of these improvements were indeed significantly greater than under
control conditions, while the effects with VR-A were not. Larger studies are needed to corroborate these findings.
Trial registration DRKS00030189.
Keywords
Chronic pain management · Benign gynecological disease · Nonpharmacological treatment · Supportive care ·
Immersive visual technology
Abbreviations
DASS Depression anxiety and stress scale
MOS-SS Medical outcome study-sleep scale
NRS Numerical rating scale
NS Not significant
PCS Pain catastrophizing scale
PDI Pain disability index
PRN Pro re nata (as needed)
SF-12 Short form health survey SF-12
VR Virtual realty
VR-A VR activity
VR-R VR relaxationViktoria Pakebusch and Barbara Schlisio are joint first authors.
Extended author information available on the last page of the article
1722 Archives of Gynecology and Obstetrics (2025) 311:1721–1731
What does this study add to the clinical work
A cross-over pilot study of relaxation- or physical
activity-inducing virtual reality technology showed
improvements in endometriosis-related chronic pain
and quality of life using scales to measure pain and
other parameters.
Introduction
Endometriosis is a common benign but chronic disease in
women of reproductive age, in which endometrial cells grow
outside the uterine cavity, forming lesions within the uterine
wall (adenomyosis) and in extrauterine sites, such as the
ovaries, fallopian tubes, and abdominal tissues, including
the bladder, intestines, peritoneum, and diaphragm [1 –5].
Symptoms, if present, vary greatly from patient to patient [6,
7] and typically include chronic pelvic pain with or without
lower back or abdominal pain, dysmenorrhea, dyspareunia,
dysuria, dyschezia, ovulation pain (mittelschmerz), and pain
during physical activity. As symptoms tend to be unspecific,
endometriosis often remains undiagnosed for many months
and even up to years [1 , 3, 8–10]. Endometriosis-related
chronic pain is often severe and can significantly affect the
daily life of patients. The resulting medical costs and loss of
productivity are also of considerable economic importance
due to the frequency of the disease [11– 14]. Furthermore,
endometriosis can cause infertility [15, 16] and patients
with endometriosis often suffer from depression, anxiety
and sleep disorders [17].
Treatment options typically include analgesics, surgery,
hormonal therapy, and complementary medical treatments
[1–3, 18– 21]. Nonpharmacologic and nonsurgical
approaches to the management of chronic pain include
psychotherapy, distraction techniques, and physical activity
[22].
With the advent of virtual reality (VR) based technology
in recent years, new avenues are currently also being
explored in the management of chronic endometriosis
pain [23, 24]. More generally, VR has been shown to be
effective in the treatment of chronic pain associated with
other diseases, or in the treatment of comorbidities such as
anxiety and depression, as recent meta-analyses have shown
[25, 26].
Against this backdrop, we sought to investigate the
potential beneficial effects of using VR headsets equipped
with relaxation (HypnoVR ®) and activity (SyncVR Fit®)
applications on self-reported endometriosis-related chronic
pain, pain-related disability in everyday life, health-related
and overall quality of life, and the general well-being of
endometriosis patients.
Methods
Study population
Eligible for inclusion were women aged at least 18 years
with a histologically confirmed diagnosis of endometriosis,
reporting endometriosis-related severe pelvic pain with pre-
study baseline ratings of at least 5 points on visual numerical
rating scale (NRS). Recruitment occurred during routine
outpatient visits to our university level-3 endometriosis
center. Baseline ratings were derived from patient-reported
NRS ratings for the preceding four weeks. Further eligibility
criteria included the willingness not to have surgery or begin
a new drug or nondrug treatment (opioid or nonopioid
analgesic, acupuncture, behavioral therapy, massages,
etc.) during study participation. Inclusion also required an
adequate knowledge of German and the assurance that the
study devices would be used according to manufacturers’
instructions.
Exclusion criteria included serious mental illness (e.g.,
psychosis, schizophrenia, or bipolar disorder) and major
depression based on screening with the aid of the study
questionnaires and the Depression Anxiety Stress Scales
(DASS). Starting regular use of opioid analgesics within
seven days preceding study entry was also an exclusion
criterion.
Study objectives
The aim of this study was to investigate whether the use of
VR technology with a relaxation application (HypnoVR®)
or an activity application (SyncVR Fit®) had an effect on
the reported pain level and endometriosis pain-related
impairment of daily life.
Primarily, we investigated momentary, average, and
maximum pain intensity per day. Secondary objectives
included recording (1) pain-related disability as measured
using the Pain Disability Index (PDI); (2) sleep quality as
measured using the Medical Outcome Study–Sleep Scale
(MOS-SS); and (3) general health-related quality of life as
measured using the 12-item Short Form (12) Health Survey
(SF-12).
Study design, devices, and interventions
Study design. This study was a prospective, 14-week, open,
three-phase, cross-over pilot study with 1-week washout
periods interspersed between phases. Each participant
sequentially completed a four-week intervention phase with
1723Archives of Gynecology and Obstetrics (2025) 311:1721–1731
each of the two study devices, and a four-week intervention-
free control phase. The sequence of the two intervention
phases and the control phase was permutated, yielding an
allocation plan with six different sequences. Participants
were consecutively included and assigned to one of the six
predetermined intervention/control sequences in accordance
with the allocation plan. Questionnaires were completed
at baseline and after each study phase. Additionally,
participants were provided with a paper-based pain diary
for daily completion (see below). Participants had four
interviews, one at the initial visit (eligibility assessment
and baseline data collection) and one after completing each
study phase.
The study protocol received prior approval from the
ethics committee of the medical faculty of Tübingen
University Hospital, Tübingen, Germany (approval
number 893/2021B01) in accordance with the ICH-GCP
guidelines, the Declaration of Helsinki, and all relevant
laws and regulations. All participants gave their prior written
informed consent.
Study devices. Two virtual reality (VR) headsets were used
as study devices: the Pico G2 4 K (Pico Technology Co.,
Ltd, Beijing, China) with the pre-installed HypnoVR ®
(HypnoVR SAS, Lampertheim, France, www. hypno vr. io/
en) application and the Pico Neo 3 Pro with the pre-installed
SyncVR Fit® (Amersfoort, The Netherlands, www. syncv
rmedi cal. com) application. Virtual experiences with the
HypnoVR® included, e.g., a journey through space and a
deep-sea dive for virtual reality-induced relaxation (VR-R),
whereas the SyncVR Fit® offered virtual reality-induced
activity (VR-A) by motivating participants to be physically
active and, e.g., perform guided body movements or play
soccer in a virtual stadium. Examples of the 3D-immersive
VR environments provided by the VR-R and VR-A applica-
tions are shown in Figs. 1 and 2.
Study interventions. These consisted in using the assigned
VR device for 15–20 min three times a week, completing
the relevant online questionnaires described below, and
documenting the experience in an electronic pain diary
online. In addition, pro re nata (PRN, as needed) use
was permitted, but needed to be recorded. During the
control phase, participants were required to complete the
questionnaires and keep their pain diary.
Data collection
Questionnaires. Table 1 lists the questionnaires used to
record basic demographic and medication-related data
as well as three pain-related questionnaires and three
questionnaires pertaining to quality of sleep, quality of
life, and mental health. Participants were requested to
complete the questionnaires at the same time of day (7 pm,
if possible).
Participants used a secure web-based survey platform
(Unipark®, Tivian XI GmbH, Cologne, Germany; www.
unipa rk. com) hosting the NRS, PDI, PCS, MOS-SS, DASS,
and SF-12 questionnaires to record their pain ratings,
additional self-assessments, and use of pain medication. No
personal data were stored on the Unipark® platform.
Pain diary. Participants were instructed to keep a purpose-
designed, paper-based pain diary throughout the study
duration (including washout periods), detailing momentary
pain at rest, average pain, and maximum pain intensity at
the same time of day (7 pm, if possible). They were also
requested to provide information on their medication
Fig. 1 Examples of 3D-immersive virtual reality environments for
relaxation (VR-R): a winter day (top), an ocean beach (middle), and
an underwater landscape (bottom) (reproduced with kind permission
from the rights owner)
1724 Archives of Gynecology and Obstetrics (2025) 311:1721–1731
requirements, including PRN medication, and their
menstrual cycle, including typical cycle duration, duration of
menstruation, and whether they had experienced menstrual
bleeding or spotting within the last 24 h.
Data analysis
Statistical analysis was performed using R, Version 4.2.2.
Descriptive statistics used numbers and percentages and
means and standard deviations (SD). The difference to
baseline was assessed by paired Wilcoxon–Mann–Whitney
rank test. To investigate the effects of treatments, the
differences to baseline Δ B for VR-R and VR-A were
compared versus the Δ B for control. A linear model for
PRN medication depending on the presence or absence
of menstrual bleeding was formulated with participant as
random factor. A significance level of 5% was chosen in
all statistical tests.
Results
Study population
The study was conducted between 10/2022 and 02/2023.
Out of 25 eligible candidates meeting the inclusion criteria,
2 discontinued study participation after completing the
baseline visit and the baseline questionnaire and were
therefore excluded from the study. Table 2 summarizes
the 23 participants’ baseline demographic and clinical
characteristics.
Participants stated their occupations as: homemaker
(1/23), student or apprentice (6/23), job seeker (1/23),
full-time worker (10/23), or part-time worker (5/23). None
indicated being unable to work.
Endometriosis-related pain had persisted for 1 to more
than 5 years in all participants at study initiation, with
11 of 23 (48%) participants reporting comorbidities.
Single instances of other complaints reported by 12 of
23 (52%) included cold symptoms, hormone fluctuations,
exhaustion/fatigue, gastrointestinal complaints (bloating,
pain, food intolerance), headaches, sleep disorders, fears,
palpitations, leg cramps, frequent urge to urinate, back
pain, dyspareunia, and hypothermia, amongst others.
Treatment with hormones as contraceptives or
endometriosis medications was reported by 12 out of 23
(52%). Reports of nonpharmacologic treatments for pain
included physiotherapy (5 of 23 patients), psychotherapy
(3 of 23), and acupuncture and relaxation techniques (5
of 23).
Fig. 2 Examples of 3D-immersive virtual reality environments induc-
ing physical activity (VR-A): throwing rings into a pyramid (top),
catching fireflies (middle), and throwing soccer balls (bottom) (repro-
duced with kind permission from the rights owner)
1725Archives of Gynecology and Obstetrics (2025) 311:1721–1731
Completeness of data sets
Two participants did not complete the baseline question-
naire. One participant discontinued after the first phase and
another after the second phase. Pain diaries were missing
for two other participants. Due to the small number of par -
ticipants and since this was a pilot study, these participants
were not excluded.
Pain diary
Pain diary. Complete pain diaries were obtained from 21
out of 23 (91%) participants. Scatter diagram analysis of
the questionnaire and pain diary recordings of average
and maximum pain matched well (with respective Pearson
correlation coefficients of rP = 0.84 and rP = 0.90). VR-A
and VR-R phases were not associated with any significant
differences in diary-recorded pain scores averaged per
participant when compared against control or each other.
Menstrual bleeding. Momentary pain at rest, average
pain, and maximum pain averaged per participant were all
significantly greater with menstrual bleeding than without
(p = 0.027, p = 0.011, and p = 0.008, respectively).
PRN medication. There was no significant difference in
PRN medication averaged per participant in the presence or
absence of menstrual bleeding (p = 0.114). A linear model
for PRN medication depending on the presence or absence
of bleeding with participant as random factor showed a
significant difference (p < 0.001). These results demonstrate
the importance of collecting menstrual cycle data.
Figure 3 shows an example of the time course of pain rat-
ings as reported by one participant during the study. Gener-
ally, pain ratings in all three pain categories increased with
the onset of menstruation, accompanied by increased con-
sumption of PRN medication.
Table 1 Study questionnaires
Decreases in scores indicate improvement except with SF-12, where increases indicate improvement
PRN pro re nata (as needed)
Questionnaire Purpose
Basic questionnaire Collection of demographic data, including age, weight, height, previous and current analgesic
(long-term or PRN) medication
Numerical rating scale (NRS) for pain Subjective assessment of pain intensity on a 0–10 rating scale
Pain disability index (PDI) Self-assessment of chronic pain-related disruption of everyday life activities to measure
subjective pain-related disability
Pain catastrophizing scale (PCS) Measurement of exaggerated negative perception of pain, comprising 3 subscales
(“magnification”, “rumination”, and “helplessness”)
Medical Outcome Study–Sleep Scale (MOS-SS) Assessment of the quality and possible impairment of night sleep
Depression Anxiety and Stress Scale (DASS) Determination of the probability of the presence of depressive disorder or anxiety disorder
Short Form (12) Health Survey (SF-12) 12-item self-reported survey of general health-related quality of life
Table 2 Baseline demographic and clinical characteristics of the
study population (n = 23)
SD standard deviation
*Age is given as patient-reported full years
Mean (SD)
or number |
percentage
Demographics
Age at baseline*, years 32.7 (8.2)
Body mass index, kg/m 2 22.6 (4.4)
Endometriosis
Duration of endometriosis-related pain, years
5 16 |70%
Comorbidities (multiple entries possible)
Anxiety disorder 0|0%
Chronic lower back pain 2|9%
Chronic headaches 3|13%
Depression 3|13%
Other pain disorders 7|30%
No comorbidities 12|52%
Pain medication
Opioids 3|13%
Before study entry 3|13%
After study entry 3|13%
Nonopioids 21|91%
Daily use 3|13%
Occasional use 18|78%
Hormone treatment 12|52%
Oral contraceptive 9|39%
Hormonal intrauterine device 2|9%
Vaginal ring 1|4%
1726 Archives of Gynecology and Obstetrics (2025) 311:1721–1731
Questionnaires
Pain numerical rating scale
The pain NRS questionnaire measures momentary pain
severity and average and maximum pain during the pre-
ceding 4 weeks. Figure 4 shows that for average pain, the
mean NRS value of 3.3 exhibited a significant difference
versus baseline (4.4) for VR-R (p = 0.033), whereas VR-A
(3.6) and control (3.8) did not. No significant differences in
NRS scores versus baseline were observed for momentary
pain and maximum pain (data not shown). Comparisons
of differences from baseline Δ B yielded no statistically
significant effects for momentary, average, and maximum
pain on the NRS scale observed with either VR-A and
VR-R versus control (Table 3).
Pain disability index (PDI)
The 7-item Pain Disability Index (PDI) questionnaire
measures self-reported pain-related impairment [ 27]. PDI
scores were significantly lower than baseline for VR-A,
VR-R, and control (p = 0.008, p = 0.003, and p = 0.008,
respectively). Testing Δ B values of VR-A and VR-R versus
control yielded no statistically significant differences
(p = 0.270 and p = 0.457, respectively).
Fig. 3 Example of a time course of participant-reported pain ratings in the diary throughout the study. Solid black line = maximum pain; dashed
line = average pain; solid grey line = momentary pain; red dashes = days with menstrual bleeding; circles = PRN medications
Fig. 4 Average pain on the NRS
scale as reported for baseline,
virtual reality-guided activity
(VR-A) and relaxation (VR-R),
and control
1727Archives of Gynecology and Obstetrics (2025) 311:1721–1731
Pain catastrophizing scale (PCS)
The 13-item Pain Catastrophizing Scale (PCS) measures the
extent of pain catastrophizing, distinguishing 3 subscales:
“rumination”, “magnification,” and “helplessness” [28, 29].
PCS total scores and all three PCS subscores for both VR
applications differed significantly from baseline, as did the
control, with the exception of the “helplessness” subscore
for the control and the “rumination” subscore for VR-A.
However, comparison of the differences from baseline
(Δ B values) for the PCS total score and the PCS subscores
of VR-A and VR-R against control showed no statistically
significant effects, except for the PCS total score (p = 0.043)
and the PCS “helplessness” subscore (p = 0.023) observed
with VR-R versus control.
Medical outcomes study sleep scale (MOS‑SS)
The 12-item MOS-SS questionnaire measures sleep qual-
ity during the 4 weeks before questioning [30]. MOS-SS
questionnaire items are detailed in Supplementary Table 1
online (based on [31]). MOS-SS scores for sleep disturbance
differed significantly from baseline for VR-A, VR-R, and
control. For VR-R, the scores for somnolence, index I, and
index II also differed significantly from baseline; for VR-A,
the index II score differed significantly from baseline. Test-
ing Δ B values of VR-A and VR-R versus control yielded
significant effects only for the index I and index II scores
(p = 0.019 and p = 0.003, respectively).
Depression anxiety stress scale (DASS)
The 21-item DASS self-report questionnaire comprises
7 questions per subscale to assess signs of depression
(DASS-D), anxiety (DASS-A), and stress (DASS-S) over
the past week [32, 33]. DASS -D and DASS-S subscores
were statistically significantly different from baseline
for both VR applications but not for control, whereas the
DASS-A subscores were not significantly different. By
contrast, testing differences from baseline (Δ B values)
VR-R versus control yielded significant effects for all 3
subscores (p = 0.014 for DASS-D, p = 0.033 for DASS-A,
and p = 0.004 for DASS-S).
Table 3 Qualitative summary of
questionnaire results for virtual
reality interventions and control
versus baseline, and changes
from baseline Δ B for virtual
reality interventions versus
control
NS not significant, NRS numerical rating scale, PDI pain disability index, PCS pain catastrophizing scale,
MOSS-SS medical outcome study – sleep scale, DASS depression anxiety and stress scale, SF-12 short form
(12) health survey SF-12, VR-R VR relaxation, VR-A VR activity
*Significant increase or decrease in measured scores
VR-R vs.
baseline n = 22
VR-A vs.
baseline n = 21
Control vs.
baseline n = 23
Change from baseline Δ B
VR-R vs.
control n = 22
VR-A vs.
control
n = 21
Pain on NRS scale (↓ = improvement)
Momentary pain ↓ ↓ ↓ NS NS
Average pain ↓* ↓ ↓ NS NS
Maximum pain ↓ → ↓ NS NS
PDI (↓ = improvement)
Total score ↓* ↓* ↓* NS NS
PCS (↓ = improvement)
Total score ↓* ↓* ↓* Significant NS
Helplessness ↓* ↓* ↓ Significant NS
Magnification ↓* ↓* ↓* NS NS
Rumination ↓* ↓ ↓* NS NS
MOSS-SS (↓ = improvement)
(Sleep) Index I ↓* ↓ ↓ Significant NS
(Sleep) Index II ↓* ↓* ↓ Significant NS
DASS (↓ is improvement)
Depression ↓* ↓* ↓ Significant NS
Anxiety ↓ ↓ ↑ Significant NS
Stress ↓* ↓* ↓ Significant NS
SF-12 (↑ = improvement)
Physical health ↑ ↑ ↑ NS NS
Mental health ↑ ↑ ↓ NS NS
1728 Archives of Gynecology and Obstetrics (2025) 311:1721–1731
SF‑12 health survey
The Short Form (12) Health Survey is a 12-item, self-
reported health survey that provides physical health
and mental health scores [34]. In our study, neither VR
application yielded statistically significant results, whether
comparisons were performed as scores versus baseline or
Δ B versus control.
Summary of results
Overall, the results of our 14-week VR-based intervention
study of pain disability; sleep; depression, anxiety, and
stress; and physical and mental health demonstrates that,
compared versus baseline, both VR applications showed
statistically significant reductions in some of the scores for
the respective rating scales employed. Significant differences
were also seen for the control phase and baseline (Table 3).
Discussion
Principal findings
Endometriosis is often associated with severe chronic
pain. Patients with chronic pain tend to feel helpless and
dependent on others, which in turn may trigger, inter
alia, depression and anxiety [17]. Current guideline-
based standard pain treatments involving analgesics,
hormone therapy, and surgery are frequently inadequate
and may entail specific risks and considerable side effects.
Supportive care also provides only limited relief and is often
unsatisfactory [22]. Hence there is a need for new methods
that are readily available, have few side effects, and will help
to restore patients’ sense of self-efficacy.
With the advent of VR technology, which immerses
the user in an alternative audio-visual reality, VR-based
distraction, relaxation, and physical activity interventions
have been found to be effective in the treatment of chronic
pain of various etiologies [25, 26]. The present study
investigated the use of virtual reality applications in
endometriosis patients with regard to pain, sleep quality,
mental health, and quality of life. To our knowledge, our
study was the first to compare the effects of two different VR
applications, i.e., relaxation (VR-R) and activity (VR-A),
against a VR intervention-free control phase in a cross-over
design. Moreover, it was also the first study to run over a
longer period of 14 weeks in total to investigate medium-
term effects on the above-mentioned areas investigated.
Our study showed that the use of VR-R led to significant
improvements in several pain and quality-of-life scores.
As improvements were also seen in the control phase, in
contrast to other studies [23, 24], we performed further
analyses which took into account the change from baseline
Δ B in order to determine as precisely as possible the effect
of the intervention as such, so as to differentiate the effect
of the VR intervention from the effect of study participation
(potential placebo-like effect in the control).
With VR-R, changes that were significantly greater than
control were thus observed for the PCS (“Total score”
and the “helplessness” subscore), MOSS-SS (“index I”
and “index II”), and DASS (“depression”, “anxiety”,
and “stress”) scores. Positive effects were also observed
for “average pain”, PDI “total score”, and the PCS
“magnification” and “rumination” subscores, although
these were not significant when compared to the changes
in the control. With VR-A, improvements from baseline
were noted for the PDI (“total score”), PCS (“total score”,
“helplessness”, and “magnification”), MOSS-SS (“index
II”), DASS (“depression” and “stress”) scores, but these
were not significantly greater than the effects in the control.
A comparison of the present study with previously
published data reveals clear differences. In 2022, Merlot
et al. [23] published the results of a randomized controlled
trial in 45 women with endometriosis-related chronic
pelvic pain. They investigated a single immersion-based
VR intervention for pain treatment, followed by 6 pain
recordings over a period of 4 h. By contrast, we recorded 84
pain scores and quality-of-life data items per participant in
a crossover design over a 14-week study period.
A second study by Merlot et al. published in 2023
[24] revisited the topic, expanding the study to 102
participants treated with immersive VR technology after
repeated use of VR, but again limited to 2–5 days starting
from menstruation. The total of 4 measurements of pain
perception were also only taken around the intervention
on the same day. Of particular note, the authors did not
account for the potential placebo-like effect in the control
group, which in contrast to our study was a “control group”
with intervention but without immersive technology.
Nevertheless, the authors speak of a significant improvement
in pain perception through the use of VR with immersive
technology. By contrast, our present study attempted to
analyze the efficacy of both VR-R and VR-A as precisely
as possible by addressing the potential influence of mere
participation in the study.
Strengths and limitations
Several strengths and limitations of our study should be
considered when interpreting our results. One strength is
that this was the first study to compare the effects of 4-week
periods of VR-based relaxation and VR-based exercise
therapy on pain and quality-of-life related parameters with
a 4-week VR intervention-free control phase. Also, the
crossover design enabled us to conduct this pilot study with
1729Archives of Gynecology and Obstetrics (2025) 311:1721–1731
a comparatively small number of participants. Furthermore,
although treatment allocation was not randomized in the
strict sense, the preestablished allocation table eliminated
arbitrary assignment of consecutive patients to a specific
treatment sequence. Carry-over effects were minimized by
1-week washout periods in between study phases. Of note,
compliance with study requirements was very high across
all participants, which was reflected not least in the high
quality of the data. Moreover, the pain diary entries matched
closely with the questionnaire responses. In addition, while
favoring VR-based relaxation, all participants stated they
had subjectively benefited from the study. Last, our study
population was balanced with regard to hormone therapy,
with half of participants (52%) receiving hormones.
A specific, and likely the most important limitation of the
study was its small sample size of 23 participants, which may
have impacted the significance of the results and therefore
warrants special consideration in future, larger studies.
However, this was a pilot study with a cross-over design,
which allowed us to keep the sample size to a minimum.
Further sample-size considerations included the logistics
of exchanging the high-cost devices between participants
in the midst of the ongoing COVID-19 pandemic. In this
context it is remarkable that only two of the 23 participants
discontinued their participation. Due to the small sample
size, it was not possible to take the sequence of study phases
into account in the analysis. However, our findings show the
importance of varying the sequence of study phases, ideally
to use all possible permutations equally often in the absence
of randomization.
Conclusions
VR-R was shown to have positive effects on a number of
pain and quality-of-life scores, which were significant for
several scores when compared to baseline, and some of these
effects were even shown to be significantly larger than those
observed in the control. Moreover, VR-A showed significant
positive effects compared to baseline; however, in our small
sample, these effects were not significantly greater than
those in the control. We conclude that VR-R may have a
greater impact than VR-A but concede that both VR options
need to be further explored in larger studies.
Supplementary Information The online version contains supplemen-
tary material available at https:// doi. org/ 10. 1007/ s00404- 025- 08000-y.
Acknowledgements
We are grateful to HypnoVR and SyncVR Medi-
cal, who provided the headsets and software applications for the pur -
poses of the present study. While both companies provided instructions
and advice on the use of the study equipment, neither company had
a role in the design or conduct of the study, data analysis, data inter -
pretation, or manuscript writing. The authors retained full control of
manuscript content at all times. The present data and results are part of
VP’s doctoral thesis, which at the time of writing was at the finalization
stage and unpublished. VP is the principal author and has given consent
to publish the data reported in this article.
Author contributions V Pakebusch: Protocol/project development,
Data collection or management, Data analysis, Manuscript writing/
editing; B Schlisio: Protocol/project development, Manuscript
writing/editing; B Schönfisch: Protocol/project development, Data
analysis, Manuscript writing/editing; SY Brucker: Manuscript
writing/editing; B Krämer: Manuscript writing/editing; J Andress:
Protocol/project development, Data collection or management, Data
analysis, Manuscript writing/editing. The first draft of the manuscript
was written by Viktoria Pakebusch and Jürgen Andress. All authors
commented on earlier manuscript versions, and read and approved the
final manuscript.
Funding Open Access funding enabled and organized by Projekt
DEAL. This research received no external funding.
Data availability No datasets were generated or analysed during the
current study.
Declarations
Conflict of interest The authors have no relevant financial or non-fi-
nancial interests to disclose.
Ethical approval The study protocol received prior approval from the
ethics committee of the medical faculty of Tübingen University Hospi-
tal, Tübingen, Germany (approval number 893/2021B01) in accordance
with the ICH-GCP guidelines, the Declaration of Helsinki, and all
relevant laws and regulations. All participants gave their prior written
informed consent to participate in the present study.
Open Access This article is licensed under a Creative Commons Attri-
bution 4.0 International License, which permits use, sharing, adapta-
tion, distribution and reproduction in any medium or format, as long
as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons licence, and indicate if changes
were made. The images or other third party material in this article are
included in the article’s Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not included in
the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
References
1. Giudice LC, Kao LC (2004) Endometriosis. Lancet 364:1789–
1799. https:// doi. org/ 10. 1016/ S0140- 6736(04) 17403-5
2. Bulun SE, Yilmaz BD, Sison C, Miyazaki K, Bernardi L, Liu
S, Kohlmeier A, Yin P, Milad M, Wei J (2019) Endometriosis.
Endocr Rev 40:1048–1079. https:// doi. org/ 10. 1210/ er. 2018- 00242
3. Burghaus S, Schäfer SD, Ulrich UA, on behalf of the German
Society of Obstetrics and Gynecology (DGGG) (2020) S2k-
Leitlinie Diagnostik und Therapie der Endometriose [Diagnosis
and therapy of endometriosis. Guideline of the DGGG, SGGG
and OEGGG (S2k guideline level)] AWMF Registry No. 045/015,
August 2020).
1730 Archives of Gynecology and Obstetrics (2025) 311:1721–1731
4. Mowers EL, Lim CS, Skinner B, Mahnert N, Kamdar N, Morgan
DM, As-Sanie S (2016) Prevalence of endometriosis during abdomi-
nal or laparoscopic hysterectomy for chronic pelvic pain. Obstet
Gynecol 127:1045–1053. https:// doi. org/ 10. 1097/ AOG. 00000 00000
001422
5. Guo SW, Wang Y (2006) The prevalence of endometriosis in women
with chronic pelvic pain. Gynecol Obstet Invest 62:121–130. https://
doi. org/ 10. 1159/ 00009 3019
6. Muzii L, Marana R, Pedulla S, Catalano GF, Mancuso S (1997)
Correlation between endometriosis-associated dysmenorrhea and
the presence of typical or atypical lesions. Fertil Steril 68:19–22.
https:// doi. org/ 10. 1016/ s0015- 0282(97) 81469-0
7. Gruppo Italiano per lo Studio dE (2001) Relationship between stage,
site and morphological characteristics of pelvic endometriosis and
pain. Hum Reprod 16:2668–2671. https:// doi. org/ 10. 1093/ humrep/
16. 12. 2668
8. Hudelist G, Fritzer N, Thomas A, Niehues C, Oppelt P, Haas D,
Tammaa A, Salzer H (2012) Diagnostic delay for endometriosis
in Austria and Germany: causes and possible consequences. Hum
Reprod 27:3412–3416. https:// doi. org/ 10. 1093/ humrep/ des316
9. Ballard K, Lane H, Hudelist G, Banerjee S, Wright J (2010) Can
specific pain symptoms help in the diagnosis of endometriosis? A
cohort study of women with chronic pelvic pain. Fertil Steril 94:20–
27. https:// doi. org/ 10. 1016/j. fertn stert. 2009. 01. 164
10. Surrey E, Soliman AM, Trenz H, Blauer-Peterson C, Sluis A (2020)
Impact of endometriosis diagnostic delays on healthcare resource
utilization and costs. Adv Ther 37:1087–1099. https:// doi. org/ 10.
1007/ s12325- 019- 01215-x
11. Brandes I, Kleine-Budde K, Mittendorf T (2009) Krankheitskosten
bei endometriose. Geburtshilfe Frauenheilkd 69:925–930. https://
doi. org/ 10. 1055/s- 0029- 11860 10
12. Soliman AM, Yang H, Du EX, Kelley C, Winkel C (2016) The
direct and indirect costs associated with endometriosis: a systematic
literature review. Hum Reprod 31:712–722. https:// doi. org/ 10. 1093/
humrep/ dev335
13. Shafrir AL, Farland LV, Shah DK, Harris HR, Kvaskoff M, Zonder-
van K, Missmer SA (2018) Risk for and consequences of endome-
triosis: a critical epidemiologic review. Best Pract Res Clin Obstet
Gynaecol 51:1–15. https:// doi. org/ 10. 1016/j. bpobg yn. 2018. 06. 001
14. Nnoaham KE, Hummelshoj L, Webster P, d’Hooghe T, de Cicco
Nardone F, de Cicco Nardone C, Jenkinson C, Kennedy SH, Zonder-
van KT (2011) Impact of endometriosis on quality of life and work
productivity: a multicenter study across ten countries. Fertil Steril
96(366–373):e368. https:// doi. org/ 10. 1016/j. fertn stert. 2011. 05. 090
15. Strathy JH, Molgaard CA, Coulam CB, Melton LJ 3rd (1982)
Endometriosis and infertility: a laparoscopic study of endometriosis
among fertile and infertile women. Fertil Steril 38:667–672. https://
doi. org/ 10. 1016/ s0015- 0282(16) 46691-4
16. Macer ML, Taylor HS (2012) Endometriosis and infertility: a review
of the pathogenesis and treatment of endometriosis-associated infer-
tility. Obstet Gynecol Clin North Am 39:535–549. https:// doi. org/
10. 1016/j. ogc. 2012. 10. 002
17. Chen LC, Hsu JW, Huang KL, Bai YM, Su TP, Li CT, Yang AC,
Chang WH, Chen TJ, Tsai SJ, Chen MH (2016) Risk of developing
major depression and anxiety disorders among women with endo-
metriosis: a longitudinal follow-up study. J Affect Disord 190:282–
285. https:// doi. org/ 10. 1016/j. jad. 2015. 10. 030
18. Hirsch M, Begum MR, Paniz E, Barker C, Davis CJ, Duffy J (2018)
Diagnosis and management of endometriosis: a systematic review
of international and national guidelines. BJOG 125:556–564. https://
doi. org/ 10. 1111/ 1471- 0528. 14838
19. Ferrero S, Barra F, Leone Roberti Maggiore U (2018) Current and
emerging therapeutics for the management of endometriosis. Drugs
78:995–1012. https:// doi. org/ 10. 1007/ s40265- 018- 0928-0
20. Brown J, Crawford TJ, Allen C, Hopewell S, Prentice A (2017)
Nonsteroidal anti-inflammatory drugs for pain in women with
endometriosis. Cochrane Database Syst Rev 1:CD004753. https://
doi. org/ 10. 1002/ 14651 858. CD004 753. pub4
21. Marjoribanks J, Ayeleke RO, Farquhar C, Proctor M (2015) Non-
steroidal anti-inflammatory drugs for dysmenorrhoea. Cochrane
Database Syst Rev 2015:CD001751. https:// doi. org/ 10. 1002/ 14651
858. CD001 751. pub3
22. Evans S, Fernandez S, Olive L, Payne LA, Mikocka-Walus A (2019)
Psychological and mind-body interventions for endometriosis: a sys-
tematic review. J Psychosom Res 124:109756. https:// doi. org/ 10.
1016/j. jpsyc hores. 2019. 109756
23. Merlot B, Dispersyn G, Husson Z, Chanavaz-Lacheray I, Dennis
T, Greco-Vuilloud J, Fougere M, Potvin S, Cotty-Eslous M, Roman
H, Marchand S (2022) Pain reduction with an immersive digital
therapeutic tool in women living with endometriosis-related pelvic
pain: randomized controlled trial. J Med Internet Res 24:e39531.
https:// doi. org/ 10. 2196/ 39531
24. Merlot B, Elie V, Perigord A, Husson Z, Jubert A, Chanavaz-Lach-
eray I, Dennis T, Cotty-Eslous M, Roman H (2023) Pain reduction
with an immersive digital therapeutic in women living with endo-
metriosis-related pelvic pain: at-home self-administered randomized
controlled trial. J Med Internet Res 25:e47869. https:// doi. org/ 10.
2196/ 47869
25. Goudman L, Jansen J, Billot M, Vets N, De Smedt A, Roulaud M,
Rigoard P, Moens M (2022) Virtual reality applications in chronic
pain management: systematic review and meta-analysis. JMIR Seri-
ous Games 10:e34402. https:// doi. org/ 10. 2196/ 34402
26. Wong KP, Tse MMY, Qin J (2022) Effectiveness of virtual reality-
based interventions for managing chronic pain on pain reduction,
anxiety, depression and mood: a systematic review. Healthcare
(Basel) 10:2047. https:// doi. org/ 10. 3390/ healt hcare 10102 047
27. Dillmann U, Nilges P, Saile H, Gerbershagen HU (2011) PDI. Pain
Disability Index - deutsche Fassung [Verfahrensdokumentation und
Fragebogen]. In: Leibniz-Institut für Psychologie (ZPID) (ed) Open
Test Archive. ZPID, Trier
28. Sullivan M, Bishop SR, Pivik J (1995) The pain catastrophizing
scale: development and validation. Psychol Assess 7:524–532
29. Meyer K, Sprott H, Mannion AF (2008) Cross-cultural adaptation,
reliability, and validity of the German version of the pain catastro-
phizing scale. J Psychosom Res 64:469–478. https:// doi. org/ 10.
1016/j. jpsyc hores. 2007. 12. 004
30. Hays RD, Stewart AL (1992) Sleep measures. In: Stewart AL, Ware
JEJ (eds) Measuring functioning and well-being; the medical out-
comes study approach, Duke. Duke University Press, Durham, NC,
pp 235–259
31. Viala-Danten M, Martin S, Guillemin I, Hays RD (2008) Evaluation
of the reliability and validity of the medical outcomes study sleep
scale in patients with painful diabetic peripheral neuropathy during
an international clinical trial. Health Qual Life Outcomes 6:113.
https:// doi. org/ 10. 1186/ 1477- 7525-6- 113
32. Lovibond PF, Lovibond SH (1995) The structure of negative emo-
tional states: comparison of the depression anxiety stress scales
(DASS) with the beck depression and anxiety inventories. Behav
Res Ther 33:335–343. https:// doi. org/ 10. 1016/ 0005- 7967(94)
00075-u
33. Nilges P, Essau C (2021) DASS. Depressions-Angst-Stress-Skalen
- deutschsprachige Kurzfassung [Verfahrensdokumentation und
Fragebogen mit Auswertung]. In: Leibniz-Institut für Psychologie
(ZPID) (ed) Open Test Archive. ZPID, Trier
34. Morfeld M, Kirchberger I, Bullinger M (2011) SF-36 Fragebogen
zum Gesundheitszustand: Deutsche Version des Short Form-36
Health Survey, 2nd edn. Hogrefe Verlag, Göttingen
Publisher's Note Springer Nature remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations.
1731Archives of Gynecology and Obstetrics (2025) 311:1721–1731
Authors and Affiliations
Viktoria Pakebusch1 · Barbara Schlisio2 · Birgitt Schönfisch1 · Sara Y . Brucker1 · Bernhard Krämer1 ·
Jürgen Andress1
* Jürgen Andress
[email protected]
Viktoria Pakebusch
[email protected]
Barbara Schlisio
[email protected]
Birgitt Schönfisch
[email protected]
Sara Y. Brucker
[email protected]
Bernhard Krämer
[email protected]
1 Department of Obstetrics and Gynecology, University
of Tübingen, Calwerstr. 7, 72076 Tübingen, Germany
2 Department of Anesthesiology and Intensive Care
Medicine, University of Tübingen, Hoppe-Seyler-Str. 3,
72076 Tübingen, Germany
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