Abstract
Introduction: Evidence synthesis of clinical trials requires consistent outcome assessment. For pain management after
surgery, inconsistency of effectiveness assessment is still observed. A subproject of IMI-PainCare (Innovative Medicine
Initiatives, www.imi-paincare.eu) aims for identifying core outcome domains and measurement instruments for
postoperative pain in four surgical fields (sternotomy, breast cancer surgery, total knee arthroplasty, and surgery related
to endometriosis) in order to harmonize outcome assessment for perioperative pain management.
Methods
A multifaceted process will be performed according to existing guidelines (Core Outcome Measures in
Effectiveness Trials (COMET), COnsensus-based Standards for the selection of health Measurement INstruments
(COSMIN)). In a first step, outcome domains will be identified via systematic literature review and consented on during
a 1-day consensus meeting by 10 stakeholder groups, including patient representatives, forming an IMI PROMPT
consensus panel. In a second step, outcome measurement instruments regarding the beforehand consented core
outcome domains and their psychometric properties will be searched for via systematic literature review and approved
by COSMIN checklist for study quality and scale quality separately. In a three-step online survey, the IMI PROMPT
consensus panel will vote for most suitable measurement instruments. The process is planned to be conducted
between 11/2017 (systematic literature review on common outcome domains) and 3/2022 (final voting on core
outcome measurement).
© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License,
which permits use, sharing, adaptation, 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/.
The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the
data made available in this article, unless otherwise stated in a credit line to the data.
* Correspondence:
[email protected]
5Department of Anaesthesiology, Intensive Care and Pain Medicine,
University Hospital Münster, Albert-Schweitzer-Campus 1, A1, 48149 Münster,
Germany
Full list of author information is available at the end of the article
Kaiser et al. Trials (2020) 21:773
https://doi.org/10.1186/s13063-020-04665-9
Introduction
More than 300 million patients receive surgery each year
worldwide, where pain is one of the most common and
devastating symptoms thereafter [ 1]. Acute postoperative
pain does not only cause suffering in patients for several
days; high pain scores early after surgery are associated
with postoperative complications like ileus, gastroparesis,
constipation, atelectasis, respiratory insufficiency, urinary
retention, and thrombosis [ 2], some with long-term con-
sequences including prolonged, persistent pain for years
after surgery [ 3]. Although efforts to improve the situ-
ation of patients have been undertaken, pain manage-
ment within the first days after surgery is still
insufficient [ 4–7].
Pain management options need to be evaluated re-
garding their effectiveness in preventing and managing
acute postoperative pain [ 8]. There are several reasons
for non-satisfying acute pain management; one of them
being a flaw in designing RCTs by choosing study end-
points not displaying clinically relevant treatment effects
[9]. Acute pain ratings at rest serve as a common pri-
mary outcome [ 10]; yet, pain intensity at rest is usually
less intense than, for example, pain during movement,
and does poorly correspond to postoperative rehabilita-
tion (physiotherapy), recovery, length of hospitalization,
and long-term consequences including chronic postop-
erative pain [ 3, 9]. In fact, it is unclear to date if pain in-
tensity ratings are relevant measures after surgery [ 2,
11]. The lack of clinically relevant and standardized
patient-reported outcome measures (PROMs) for studies
addressing the management of postoperative pain im-
pedes identification of effective treatments for certain
surgical procedures. Improving comparability of effect-
iveness research therefore requires a core set of outcome
measures in clinical practice and controlled trials for
perioperatively managing pain after surgical procedures.
Core outcome sets (COS) are considered legitimate
approaches to overcome irrelevant and inconsistent out-
come assessment in clinical trials [ 12]. They are defined
“as minimum core sets consisting of patient relevant or
reported outcome domains and corresponding measure-
ment instruments to be assessed in any clinical trial re-
garding a specific health condition and/or intervention ”
[12]. Outcome domains are defined as concepts to be
measured in terms of a further specification of an aspect
of health [ 13], e.g., health-related quality of life. A COS
commonly includes patient-reported outcomes (PRO)
and patient-reported outcome measures (PROM), the
latter understood as “any report of the status of a pa-
tient’s health condition that comes directly from the pa-
tient, without interpretation of the patient ’s response by
a clinician or anyone else ” [14] and is therefore different
from other, so-called “objective” measures such as
biomarkers.
The development of such a COS, comprising of both
outcome domains and measurement instruments, is a
multifaceted process, containing systematic research and
consensus processes. Standards for their development
have been set by COMET ( Core Outcome Measures in
Effectiveness Trials [12]). Four key features are required
in order to establish an accepted and ready to use COS
for the research field of concern: structured procedure
(e.g., guided by COMET handbook), transparency of
performance (e.g., guided by COS Star guidelines of
reporting COS studies), transparency of decision criteria,
and inclusion of relevant stakeholders (including patient
representatives).
The a priori defined health condition acute postopera-
tive pain has not been considered as a separate health
condition so far. Postoperative pain has been acknowl-
edged as one domain (out of many) in perioperative
medicine [ 15] but was not further established. For total
knee arthroplasty (and for knee replacement or joint re-
placement), several initiatives work on harmonizing out-
come assessment [ 11, 16–28], by considering effects of
surgery and general long-term features without focusing
on acute postoperative pain (e.g., knee injury and/or
knee osteoarthritis, knee, hip, and hand osteoarthritis
[16–20, 22–28] or hip or knee osteoarthritis [ 11, 21]).
Regarding breast surgery and sternotomy, COS consider-
ations for postoperative pain have not been worked on
yet, despite some effort to harmonize outcome assess-
ment in general for reconstructive breast surgery [ 29,
30]. Some initiatives have worked on COS for endomet-
riosis [ 31–34], but again, postoperative pain was not ad-
dressed. For all surgical procedures, perioperative pain
management is characterized by a short duration of
intervention (regularly for some days up to 1 or 2 weeks
after surgery), and ideally supporting quick recovery and
regain of functioning. Therefore, perioperative pain
management aims for enabling the patient to return
quickly to as much self-management ability and reduced
pain-related interference of wellbeing as possible, de-
pending on limitations of functioning due to the surgical
intervention.
PROMPT (Patient-Reported Outcome Measures in Pain
Treatment) is one of three subprojects within the IMI-2
JU project IMI-PainCare (Innovative Medicines Initiative
Pain Care, www.imi-paincare.eu, 30th March 2020)
funded by the European Union and European Federation
of Pharmaceutical Industries and Associations (EFPIA).
Within PROMPT (PROMs suitable for assessing changes
in acute postsurgical pain), one initiative (, work package
2 of IMI-PainCare) seeks to improve postoperative pain
by effective perioperative pain management in terms of
developing a COS of patient-reported outcome measures
assessing efficacy and effectiveness in any clinical and ob-
servational studies as well as in clinical practice. Due to
Kaiser et al. Trials (2020) 21:773 Page 2 of 10
the assumable fact, that outcome domains and measure-
ment instruments might differ dependently to specific
treatment effects of certain surgical procedures (see for
example www.postoppain.org, 30th March 2020), four
surgical procedures are addressed: sternotomy (St), breast
cancer surgery (BS), total knee arthroplasty (TKA), and
surgery for endometriosis (EM). Those surgeries were
chosen for (1) the differences in type and extent of tissue
injury (soft tissue, bone/joint/ visceral), (2) the differences
in patient populations (young versus old; cancer versus
non-cancer patients, preoperative pain or none), (3) the
frequency of practice and the concomitant moderate to
severe postoperative pain, thus being relevant both for
new treatment approaches and for many patients and
health care practitioners worldwide. These procedures
represent a broad spectrum of requirements of periopera-
tive pain management, with the option to address the
question of developing either separate COS for periopera-
tive pain management after each surgical procedure or an
overarching COS comprising all.
Methods
General considerations
Rationale and design for the consensus process within
the PROMPT project are guided by the COMET recom-
mendations ([ 12], see Fig. 1) referring to postoperative
pain in adult patients undergoing breast surgery, sternot-
omy, total knee arthroplasty, and surgery for endometri-
osis and receiving perioperative pain management
investigated in any clinical and observational trial as well
as in clinical practice (scope), consisting of two parts —
one for identifying core outcome domains and one for
the corresponding core outcome measurement instru-
ments. Both arms start with systematic literature re-
search (SLR) and lead into different forms of consensus
processes. Reporting of the processes will be basing on
COS Star guidelines [ 35] (Fig. 1).
Ensuring comprehensiveness of a future COS in spe-
cific health conditions, theoretical frameworks should
guide decision making about the systematization and the
importance of core outcome domains ([ 12] Fig. 1, I COS
Domains, steps 1 and 2). The framework recommended
by OMERACT is matching purpose and need of
PROMPT, providing a frame for medically oriented clin-
ical trials and will be applied in order to arrange and
structure relevant outcome domains to relevant core
areas during the consensus meeting [ 36].
The focus on therapy aims as a prerequisite for deriv-
ing relevant outcome domains shall facilitate discussion
and enable participants to be focused (Fig. 1, I COS
Domains, step 2). Therapy aims of perioperative man-
agement after surgery (including BS, TKA, ST, and EM)
contain restoration of impaired function (for example
physical and/or psychological), the reduction of suffering
due to postoperative pain considering a patient-centered
approach, and the risks and benefits associated with the
intervention within the first weeks after surgery (lay def-
inition by the authors). According to the definition, an
outcome domain (as a further specification of an aspect
of health) and outcome (as any identified result in a do-
main arising from exposure to a causal factor or health
intervention, modified from [ 36]) correspond closely to
therapy intention or aim. Only aspects of health, chan-
ged by a specific intervention, seem to reasonably be
considered as outcomes, because this change is intended
and supposed to be investigated by comparative re-
search. The close relationship between therapy aims and
outcome domains will be consistently guided throughout
the consensus process on outcome domains. An over-
view of the planned process for identifying COS of do-
mains and measurement instruments for perioperative
pain management after surgery in clinical trials and clin-
ical practice is presented in Fig. 1.
For estimating and evaluating psychometric properties
for future measurement instruments (Fig. 1, II COS
Measurement, steps 3 and 4), standards have been estab-
lished by the COSMIN working group. They advise to
systematically search for evidence of psychometric prop-
erties of certain measurement instruments, defining
clear criteria for good quality of study conduction and
quality of scales. Psychometric properties of highest im-
portance are validity (especially content validity as the
prerequisite for further evaluation of other issues of scale
quality), reliability, and sensitivity to change [ 37]. The
COSMIN checklist also provides guidance on how to
evaluate validity, reliability, and sensitivity to change in
measurement instruments [ 38, 39].
Participants of the IMI PROMPT consensus panel
For perioperative pain management, a considerable var-
iety of stakeholders can be assumed, especially regarding
the latest acceleration in treatment development and
multi-professionality in this field. Ten different stake-
holders have found to be relevant by the steering com-
mittee (see Table 1).
Eligible for the IMI PROMPT consensus panel are in-
dividuals experienced in perioperative pain management
(clinicians, researchers) after breast surgery, thoracot-
omy/sternotomy, total knee arthroplasty, and endometri-
oses or having experienced such procedure or other
painful surgeries themselves (patient representatives).
For endometriosis, inclusion was extended to individuals
experienced in unspecified treatment of endometriosis.
Further, pharma representatives, representatives of
health technology assessment agencies, and regulators
(experienced in drug development) have been identified
as important stakeholders in the field of perioperative
pain management. Since PROMPT is embedded into the
Kaiser et al. Trials (2020) 21:773 Page 3 of 10
large EU-funded project (please compare www.IMI-pain-
care.eu, 30th March 2020) and other processes will be bas-
ing on PROMPT future results, the IMI PROMPT
consensus panel was extended by corresponding working
group members of the IMI-PainCare project (comprising
functional pain biomarkers (BioPain) and Translational
Research in Pelvic Pain (TriPP)), announced by the IMI-
PainCare leaders. In preparation of the process, inter-
national scientific organizations associated with pain
research and management (EFIC) or anesthesia and post-
operative pain management (ESA) have been approached
and were invited to nominate at least 4 relevant experts
from their field of interest. In Table 1,s t a k e h o l d e rg r o u p s
are provided along with addressed scientific and patient
self-help organizations nominating representatives for
their participation as well.
Group size considerations referred to the consensus
meeting because of financial, timely, and administrative
Fig. 1 Schedule and Steps of the IMI PROMPT Consensus on a Core Outcome PROM Set for surgery after TKA, BS, ST and EM
Kaiser et al. Trials (2020) 21:773 Page 4 of 10
resources on one side and requirements for equal distri-
bution of stakeholder representatives on the other. Dur-
ing the consensus, four separate breakout groups have
been planned (TKA, BS, St, and EM) with at least one
stakeholder representative from each group ( n = 10). It
was therefore intended that each stakeholder group
should consists of 4 representatives, in sum a number of
n = 40 was expected to participate.
The same panel will be invited to the online Delphi sur-
vey on measurement instruments (Fig. 1, steps 2 and 4).
Information sources
According to the COMET data source ( http://www.
comet-initiative.org/, 30th March 2020) and to the best
of our knowledge, no COS initiative is engaged in peri-
operative pain management in general or for the chosen
procedures total knee arthroplasty, breast surgery, and
sternotomy so far.
Endometriosis is being worked on by several initiatives
with different scopes, either published as report or study
protocol [ 31, 33, 34, 40] or not published yet but pro-
vided to authors of this manuscript [personal communi-
cation with Katy Vincent, Email during June 2018].
Considering this work is required, thus, following
COMET recommendation of careful consideration of
previous work in the field of interest [ 12], it was there-
fore necessary to break down this consensus process into
two different arms, at least referring to COS domains.
Initial list of outcome domains (Fig. 1, step 1)
An initial list of outcome domains for effectiveness as-
sessment of perioperative pain management after TKA,
BS, and St will be gathered via separate SLRs, all regis-
tered at PROSPERO database [CRD42018093838;
CRD42018095142; CRD42018095137], where compre-
hensive details can be found. The searches will be con-
ducted in Embase, MEDLINE, and CENTRAL (without
timely or quantity restriction of publication) until 2018,
searching for all forms of clinical prospective observa-
tional and randomized controlled trials regarding effect-
iveness of perioperative pain management after TKA,
BS, and St. No quality assessment (e.g., by GRADE) is
intended since the sole frequency of outcomes or out-
come domains will be of interest. Screening of title/ab-
stract and full text will be performed by two
independent reviewers. Extraction will contain, besides
study characteristics, types and frequencies of the ap-
plied outcomes or outcome domains forming a descrip-
tive synthesis.
For endometriosis, previous results [ 31–34, 40] of ini-
tiatives specifically dedicated to study and improve treat-
ment of endometriosis will be provided to the IMI
PROMPT consensus panel after deciding about main
aims of perioperative pain management in patients with
endometriosis. This will be used in order to subse-
quently decide whether these recommended domains
serve the purpose of capturing effectiveness in peri-
operative pain management in endometriosis or if modi-
fications are needed. Key issues of discussion will be
documented and reported in the future meeting report.
Initial list of measurement instruments (Fig. 1, step 3)
Based on the a priori defined and recommended out-
come domains for perioperative pain management after
surgery (BS, TKA, St, and EM), relevant measurement
instruments will be identified via systematic review in
two steps following the COSMIN guidance. The first
step will comprise a scoping review and hand search for
measurement instruments mapping outcome domains
and definitions. Search will be performed in Embase,
MEDLINE, and CENTRAL, in case of psychological do-
mains additionally in PsychINFO and PsychArticle and,
if needed, in common data bases for PROMs. Two inde-
pendent reviewers will screen the results for title and ab-
stract and for full text. Extraction will contain, besides
study characteristics, definition of construct, description
of the developmental process (in terms of identifying
patient-reported outcome measures), scale construction,
description of scale, and preliminary results in case of
first validation. Primary search terms will refer to inaug-
uration articles (articles describing the development of a
scale or measurement instrument) and the specific do-
main (including synonyms or related terms).
COSMIN and COMET suggest searching also in their
database of SLRs regarding measurement instruments.
In case of old or low-quality SLRs, they advise to
Table 1 PROMPT consensus panel
Stakeholder groups Nominated by
Anesthesiologists ESA
ESRA
Pain specialists IMI Group
EFIC
IMI Group IMI Group
Surgeons EFIC
IMI Group
Psychologists EFIC
IMI Group
Physiotherapists EFIC
IMI Group
HTA/PRO experts and regulatory experts IMI Group
Pain nurses EFIC
IMI Group
Patient representatives EFIC
IMI Group
IMI-EFPIA IMI Group
ESA European Society of Anaesthesiologists, EFIC European Pain Federation,
ESRA European Society of Regional Anesthesia and Pain Therapy, IMI
GroupIMI-PainCare Consortium
Kaiser et al. Trials (2020) 21:773 Page 5 of 10
conduct an update or to perform a new SLR; otherwise,
it is considered sufficient to rely on existing results.
Measurement instruments corresponding to IMI
PROMPT outcome domain definitions, developed as
patient-reported outcome and with a similar target
population (postoperative, acute pain; similar character-
istics as observed in TKA, BS, St, and EM) will be
chosen for further investigation of psychometric proper-
ties regarding the COSMIN quality criteria for creating a
list of potential PROMs.
COSMIN search strings will be applied [ 41] for subse-
quent systematic literature reviews in the abovemen-
tioned data sources, concerning at least one of the
psychometric properties regarding content validity, con-
struct validity, reliability, and sensitivity to change. For
both validities, studies will be included when presenting
Results
for construct and/or content validity. For reliabil-
ity and sensitivity to change, studies will be included
when providing information to the a priori defined tar-
get population (adult patients undergoing surgery for
BS, TKA, St, and EM). Quality approval includes quality
of study conduction and reporting and, in a second step,
quality of the scale, performed by COSMIN checklist
[38, 39, 42, 43]. All information for each scale will be fi-
nally summarized in a table providing the definition of
the construct, the identified results regarding validity
(content and construct), reliability, and sensitivity to
change, including quality ratings of study quality and
quality of the psychometric property separately. The
final tables will then be provided to the IMI PROMPT
consensus panel during the online Delphi survey for fur-
ther decision about relevant measurement instruments.
Consensus process
Outcome domains- consensus meeting
The consensus process (a 1-day face to face consensus
meeting) will be facilitated by two members of the steer-
ing committee (EPZ, UK). A structured schedule (pro-
vided as a handout), consisting of plenary discussions,
breakout groups (stakeholder groups, groups working on
the specific health conditions) shall support consistent
and transparent discussion and approaching a stable
consensus.
Enhancing respectful discussion, the IMI PROMPT
consensus panel will be advised to discuss from the per-
spective of their stakeholder group, not as unique per-
son, wherefore a basic understanding of representative
of a stakeholder group will be formed by a specific,
introductory part. Brainstorming and aligning on therapy
aims and finally choosing relevant corresponding out-
come domains for perioperative pain management will
be performed within breakout groups referring to each
surgery separately. All results of the breakout groups will
be discussed subsequently after completing each step
(aligning on therapy aims, aligning on corresponding
outcome domains) and overarching results, comprising
perioperative pain management in all surgery groups in
general, are appreciated. Members of the steering com-
mittee (HL, WM, PZ, and CW) will facilitate the break-
out groups. The variety of steps and groups enables
equal chances to contribute for each participant.
The first section of the meeting aims for the aligning
on relevant and most critical therapy aims of periopera-
tive pain management. Starting with a brainstorming on
relevant therapy aims for each surgery (via world café, 4
rounds), all participants will be invited to leave as much
information to the breakout groups as they feel is rele-
vant. A prioritization within the breakout groups on
most critical therapy aims will complete this section.
The breakout groups prioritize therapy aims according
to the OMERACT 2.0 filter ([ 36], four core areas: death,
life impact, resource use/economical impact, patho-
physiological manifestations, adverse events) and also ac-
cording to their relevance on a 1 –9 scale (Likert scale,
1–3 not important, 4 –7 important but not critical, 7 –9
critical). Presenting the breakout group results to the
plenary group will invite comprehensive feedback of
other participants. The IMI PROMPT consensus panel
will also be encouraged to structure therapy aims either
into general therapy aims of perioperative pain manage-
ment or into more specific therapy aims regarding sur-
gery in the four regions.
During a subsequent section, outcome domains from
systematic literature review (initial list of outcomes) will
be matched to the a priori aligned most critical therapy
aims (rated as critical (7 –9)), added by official definitions
of those outcome domains if available. Regarding align-
ment on relevant and important therapy aims, existing
and via SLR-identified outcome domains can be in-
cluded, excluded, or merged into each other, always en-
suring transparent documentation of the process.
Reasons for excluding, merging, or otherwise amending
outcome domains will be reported in the future meeting
report. The group also will have the opportunity to de-
cide either to choose generic (for perioperative pain
management in general) or specific (for perioperative
pain management after the specific surgery) outcome
domains. In case of competing outcome domains within
one therapy aim, the panel will approve the outcome do-
main matching most and drop the less important out-
come domain regarding the therapy aim.
It will be suggested to recommend at least one domain
for each core area; otherwise, it will be explicitly ex-
plained why a core area has not been considered for
COS [ 12].
In a final plenary section (complete IMI PROMPT
consensus panel), all breakout groups present and dis-
cuss their results. When discussion is completed, the
Kaiser et al. Trials (2020) 21:773 Page 6 of 10
voting will be performed for all outcome domains ran-
ging from 7 to 9 as most critical, starting with generic
suggestions. Four outcome domains are expected. The
outcome domain with the highest rating will be pre-
ferred in case of competing outcome domains.
Patient representatives are able to veto in case of
complete disagreement with a single outcome domain.
Patient representatives need to be unanimously against a
decision of other stakeholder groups to set a veto. If an-
other stakeholder group consistently disagrees with a
panel decision, it is able to advice the panel to discuss
the issue again, but the panel needs to approve the ne-
cessity of that action. In case of disapproval to discuss
an outcome domain again, further discussion will be dis-
missed and the group will move forward to the next out-
come domain.
Outcome measurement instruments-Delphi online exercise
Consensus on measurement instruments shall be
achieved via a final online Delphi survey (Surveymon-
key), planned as a 3-step online survey. Information
resulting from a second set of systematic literature re-
views, now on psychometric properties of corresponding
measurement instruments (PROMs) and search for con-
struct definition of the relevant measurement instru-
ments will be provided to the IMI PROMPT consensus
panel (see “Participants of the IMI PROMPT consensus
panel”), alongside with quality grading by COSMIN
checklist for both study and scale quality. Each member
of the IMI PROMPT consensus panel participants will
be invited to comment and to preliminarily vote for each
presented instrument on 1 –9 scales as described above,
advised to focus on highest available quality. Summariz-
ing results from this first round regarding all presented
measurement instruments, added by summarized feed-
back by panel participants, the preliminary vote of the
complete IMI PROMPT consensus panel and of the in-
dividuals will be presented during a second round, also
inviting comments and feedback to each instrument.
The final vote in the third round will only include those
measurement instruments which have been rated to be
sufficient for inclusion (rating of 7 –9 on the 1 –9 scale)
into future COS by at least 50% of participants in at least
2/3 of stakeholder groups.
Scoring of outcome domains and measurement
instruments
Considering the quality of reporting outcome domains
in intervention and effectiveness studies in terms of peri-
operative pain management after BS, TKA, St, and EM,
only few studies have reported outcome domains expli-
citly and clearly defined. During the consensus meeting,
outcome domains will be classified into 1 –3 not import-
ant, 4 –6 important but not critical, 7 –9 critical, as
recommended by COMET [ 12]. Inclusion of outcome
domains requires an outcome domain to be rated as at
least 7 on the 1 –9 rating scale.
The same scoring will be applied for measurement in-
struments during an online Delphi survey. In case of
competing measurement instruments for a single out-
come domain, the measurement instrument with the
highest rating will be included into future COS.
Consensus definition
Consensus on outcome domains (consensus face to face
meeting) and measurement instruments (online Delphi
exercise) will be defined as at least ≥70% voting for 7 –9
and ≤ 20% voting for 1 –3 rating (means that most of the
panel feels that the specific outcome domain is import-
ant to include) by the IMI PROMPT consensus panel in
order to include an outcome domain and a measure-
ment instrument into future COS (see Table 2), adapted
by COMET recommendation of 70% vs 15% [ 12] for rea-
sons of feasibility. Exclusion is defined as 70% of voting
for 1 –3 and 20% voting for 7 –9 for a certain outcome
domain or measurement instrument. All other cases will
be considered no consensus, which means that there is
uncertainty about the importance of the specific out-
come domain or measurement instrument to be in-
cluded into future COS.
Project schedule
/C15Systematic reviews on outcome domains 11/2017 –
06/2018 (completed, publication of results is in
preparation or submission, DATE OF
SUBMISSION)
/C15Consensus meeting on outcome domains 06/2018
(completed, publication of results in in preparation)
/C15Systematic reviews and research between 08/2018
and 08/2020 (SLRs are submitted to PROSPERO,
search strategy is completed, screening of title/
Abstract
and full text is completed for scoping
review on corresponding measurement instruments,
SLR for psychometric properties is in preparation).
/C15Preparation of results of systematic reviews for
psychometric properties of corresponding
measurement instruments and preparation of the
online Delphi exercise between 09/2020 and 09/2021
/C15Final consensus on outcome measurement
instruments between 09/2021 and 03/2022
Discussion
As summarized in previous publications [ 44], there are
many ways for establishing a COS on domains so far.
Yet, the Delphi method is one of the most accepted.
This method is characterized by the opportunity to avoid
biases in response, decision, or opinion building, easily
Kaiser et al. Trials (2020) 21:773 Page 7 of 10
restricting dominant stakeholder representatives [ 45]
and supporting to include individuals worldwide [ 12].
Consensus methods have been used as well, but there is
no clear evidence of superiority of specific methods [ 12].
Both ways are recommended, and sometimes they are
applied together in mixed method approaches.
Major limitations of both approaches as forms of
qualitative processes comprise the affection of the final
Results
by types of stakeholders involved, the existing
knowledge of the participants [ 46], the questions asked,
the provision of information (or false information [ 46]),
and the manner of interaction [ 45]. A careful consider-
ation of the planned rationale is therefore necessary, bal-
ancing field of future COS, financial and timely
resources, the amount of stakeholder groups necessary,
and the complexity of the scope, aim, and domains to be
considered of the future COS [ 12]. Since a
standardization of methods cannot be recommended to
date for COS development, detailed and precise report-
ing of conduction is demanded [ 12, 35].
For Delphi methods, additionally attrition during the
iterative process is highly relevant, challenging process
completion and interpretation of results, especially when
missing specific stakeholder groups [ 46]. The complexity
of the questions addressed might be strained by the for-
mat of repeating exposure to similar looking question-
naires and produces effects of tiredness and motivation
loss [ 46]. All those aspects endanger reliability and rep-
resentativity of Delphi processes, even though when con-
ducted in large samples internationally. As discussed by
other authors [ 47], psychometric soundness of consen-
sus processes (e.g., Delphi) containing estimates for reli-
ability, validity, and generalizability might not serve
properly. They suggest rather estimating quality of such
processes, considering the qualitative field of research,
by other criteria such as transferability, credibility, ap-
plicability, or confirmability of results. They explicitly
state that such process do not aim for finding the right
answer but support orientation and create impulses in
research and health care provision.
Based on these experiences and the situation of het-
erogeneity in designing COS developmental studies, the
steering committee of IMI PROMPT decided to apply a
mixed method approach for establishing the COS for
perioperative pain management in four surgeries for
clinical trials. One main consideration started with the
observation that bringing together different stakeholders
with different backgrounds in an online survey does not
support understanding and acceptance since back-
grounds and opinions cannot be exchanged easily. There
is a considerable risk that results of such consensus re-
peat what has been there already, not assuming or critic-
ally reflecting on still missing aspects. Solely relying on
outcome domains already published also creates biases,
based on individual routines or preferences. Besides the
limits of face to face meetings in timely and financial re-
sources, it indeed provides all participants with much
more information by discussion and exchange. The ap-
plication of a facilitating schedule (guided discussion,
breakout groups, plenary sessions) was intended to re-
duce the danger of potential biases due to opinion lead-
ing by single individuals or strong stakeholder groups
enhancing acceptance, transparency, and presence of
multiple perspectives. Since developing COS domains
refers much to personal backgrounds, needs, and prefer-
ences, a face to face meeting was considered most ap-
propriate and, at the end, time saving. For defining COS
on measurement instruments, performing an online
based Delphi survey will suffice, since there are several
distinct criteria (quality of study conduction, quality of
scale-related psychometric properties), facilitating prep-
aration of online Delphi survey and decision by the
panel.
There are possible limitations to our schedule and de-
sign. One refers to the representativeness of the panel.
The announcement by organizations might help to re-
duce the selection bias induced by possible preferences
of the steering committee, but which representatives will
be chosen depends much on the organization. The steer-
ing committee has no control of real expertise, motiv-
ation, and background of the participants. Patients will
be announced also by an international patient advocacy
organization in order to send patients experienced in
consensus processes and sufficiently speaking English.
Table 2 Definition of consensus for PROMPT consensus on outcome domains and measurement instruments regarding
perioperative pain management in patients after surgery (BS, TKA, St, and EM) [REF HARMAN 2013]
Consensus
classification
Description Definition
Consensus “in” Consensus that either outcome domain or measurement instrument should be included
into COS for perioperative pain management after surgery (BS, TKA, St, and EM)
70% or more participants scoring 7 –9
AND 20% or less participants scoring
1–3
Consensus
“out”
Consensus that either outcome domain or measurement instrument should NOT be
included into COS for perioperative pain management after surgery (BS, TKA, St, and EM)
70% or more participants scoring 1 –3
AND 20% or less participants scoring
7–9
No consensus Uncertain about importance of outcome Anything else
Kaiser et al. Trials (2020) 21:773 Page 8 of 10
Since international networking of patient advocacy orga-
nizations is still a work in progress, selection bias for pa-
tients cannot be ruled out, such as coming from
countries with a high amount of well-educated inhabi-
tants, culturally open and experienced in scientific
discussions.
Complexity of consensus processes and the prepar-
ation of such time- and resource-consuming multifa-
ceted approaches for developing COS might be a
discouragement. Yet, there is no alternative referring to
the major aim of finding best ways for improved care for
our patients.
Acknowledgements
None.
Funding information
The PROMPT IMI Group is funded by the Innovative Medicines Initiative 2
Joint Undertaking under grant agreement No [777500]. This Joint
Undertaking receives support from the European Union ’s Horizon 2020
research and innovation programme and EFPIA. ( www.imi.europa.eu; www.
imi-paincare.eu, 30th March 2020). Open access funding provided by Projekt
DEAL.
Disclaimer
The statements and opinions presented here reflect the author ’s view and
neither IMI nor the European Union, EFPIA, or any Associated Partners are
responsible for any use that may be made of the information contained
therein.
Authors’ contributions
EPZ (last author) and HL are lead of the project presented here. They
together with UK (first author) have developed rationale of the whole
process leading to the core outcome set and the manuscript. PZ, EPZ, HL,
and UK have developed the protocol of the systematic reviews. UK and EPZ
have developed the concrete rationale for the consensus and the Delphi
process. UK and EPZ have drafted, coordinated, and mainly contributed to
the writing of the manuscript. WM, PZ, and CW have contributed to the
development and organization of the process and have contributed
substantially to the manuscript. The author(s) read and approved the final
manuscript.
Availability of data and materials
Data will be available on request of authors.
Ethics approval and consent to participate
The methods and procedure of the study are developed in compliance with
the ethical principles of the Helsinki Declaration and Good Epidemiologic
Practice and have been approved by Ethical committee of TU Dresden (EK
261052019). The process is described as a consensus process including
patients who are announced by official organizations (self-help
organizations) and therefore represent the interests of those organizations.
No treatment is offered and patients will not be harmed. All data of all
participants will be gathered and analyzed completely anonymously and on
a group level. No personal data will be gathered. Consent forms will be filled
in by each participant in order to comply with consent and data security
standards.
Competing interests
EPZ: During the last 5 years, EPZ received financial support from
Mundipharma and Grünenthal for research activities, advisory and/or lecture
fees and travel support from Grünenthal, MSD Sharp & DOHME GmbH,
Mundipharma GmbH; Mundipharma International; Janssen-Cilag GmbH; Fre-
senius Kabi and AcelRx.
HL: Hiltrud Liedgens is an employee of Gruenenthal GmbH
WM: Research: Pfizer, Grünenthal, Mundipharma. Advisory: Grünenthal, Tilray,
Sanofi. Lecture fees: Grünenthal, Northern Swan, TAD, Kyowa, Bionorica.
CW: None
PZ: None
UK: Travel and accommodation refunds by Mundipharma and Gruenenthal
Author details
1Comprehensive Pain Center, University Hospital Carl Gustav Carus Dresden,
Dresden, Germany. 2Market Access, Grünenthal GmbH, Aachen, Germany.
3Department of Anaesthesiology and Intensive Care Medicine, Jena
University Hospital, Jena, Germany. 4Department of Anaesthesiology and
Intensive Care Medicine, Palliative Care Medicine and Pain Management,
Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil GmbH
Bochum, Ruhr University Bochum, Bochum, Germany. 5Department of
Anaesthesiology, Intensive Care and Pain Medicine, University Hospital
Münster, Albert-Schweitzer-Campus 1, A1, 48149 Münster, Germany.
Received: 1 August 2019 Accepted: 9 August 2020
References
1. Weiser TG, Haynes AB, Molina G, Lipsitz SR, Esquivel MM, Uribe-Leitz T, et al.
Size and distribution of the global volume of surgery in 2012. Bull World
Health Organ. 2016;94(3):201.
2. van Boekel RL, Vissers KC, van der Sande R, Bronkhorst E, Lerou JG, Steegers
MA. Moving beyond pain scores: multidimensional pain assessment is
essential for adequate pain management after surgery. PLoS One. 2017;
12(5):e0177345.
3. Fletcher D, Stamer UM, Pogatzki-Zahn E, Zaslansky R, Tanase NV,
Perruchoud C, et al. Chronic postsurgical pain in Europe: an observational
study. Eur J Anaesthesiol. 2015;32(10):725 –34.
4. Gan TJ, Habib AS, Miller TE, White W, Apfelbaum JL. Incidence, patient
satisfaction, and perceptions of post-surgical pain: results from a US national
survey. Curr Med Res Opin. 2014;30(1):149– 60.
5. Maier C, Nestler N, Richter H, Hardinghaus W, Pogatzki-Zahn E, Zenz M,
et al. The quality of pain management in German hospitals. Dtsch Arztebl
Int. 2010;107(36):607.
6. Weiran L, Lei Z, Woo SM-L, Anliu T, Shumin X, Jing Z, et al. A study of
patient experience and perception regarding postoperative pain
management in Chinese hospitals. Patient Prefer Adherence. 2013;7:1157.
7. Pogatzki-Zahn E, Kutschar P, Nestler N, Osterbrink J. A prospective
multicentre study to improve postoperative pain: identification of
potentialities and problems. PLoS One. 2015;10(11):e0143508.
8. White PF, Kehlet H. Improving postoperative pain management: what are
the unresolved issues? Anesthesiology. 2010;112(1):220 –5.
9. Kehlet H, Dahl JB. Assessment of postoperative pain– need for action! Pain.
2011;152(8):1699–700.
10. Srikandarajah S, Gilron I. Systematic review of movement-evoked pain
versus pain at rest in postsurgical clinical trials and meta-analyses: a
fundamental distinction requiring standardized measurement. Pain®. 2011;
152(8):1734–9.
11. Luna I, Kehlet H, Peterson B, Wede HR, Hoevsgaard S, Aasvang E. Early patient-
reported outcomes versus objective function after total hip and knee
arthroplasty: a prospective cohort study. Bone Joint J. 2017;99(9):1167–75.
12. Williamson PR, Altman DG, Bagley H, Barnes KL, Blazeby JM, Brookes ST,
et al. The COMET handbook: version 1.0. Trials. 2017;18(3):280.
13. Boers M, Kirwan JR, Wells G, Beaton D, Gossec L, d'Agostino MA, et al.
Developing core outcome measurement sets for clinical trials: OMERACT
filter 2.0. J Clin Epidemiol. 2014;67(7):745 –53.
14. Health USDo, Human Services FDACfDE, Research, Health USDo, Human
Services FDACfBE, Research, et al. Guidance for industry: patient-reported
outcome measures: use in medical product development to support
labeling claims: draft guidance. Health Qual Life Outcomes. 2006;4:79.
15. Myles PS, Boney O, Botti M, Cyna AM, Gan TJ, Jensen MP, et al. Systematic
review and consensus definitions for the standardised endpoints in
perioperative medicine (StEP) initiative: patient comfort. Br J Anaesth. 2018;
120(4):705–11.
16. Bellamy N, Kirwan J, Boers M, Brooks P, Strand V, Tugwell P, et al.
Recommendations for a core set of outcome measures for future phase III
clinical trials in knee, hip, and hand osteoarthritis. Consensus development
at OMERACT III. J Rheumatol. 1997;24(4):799– 802.
17. Wylde V, MacKichan F, Bruce J, Gooberman-Hill R. Assessment of chronic
post-surgical pain after knee replacement: development of a core outcome
set. Eur J Pain. 2015;19(5):611– 20.
Kaiser et al. Trials (2020) 21:773 Page 9 of 10
18. Kalson N, Borthwick L, Mann D, Deehan D, Lewis P, Mann C, et al.
International consensus on the definition and classification of fibrosis of the
knee joint. Bone Joint J. 2016;98(11):1479 –88.
19. Makhni EC, Meyer MA, Saltzman BM, Cole BJ. Comprehensiveness of
outcome reporting in studies of articular cartilage defects of the knee.
Arthroscopy. 2016;32(10):2133–9.
20. Rabago D, Van Leuven L, Benes L, Fortney L, Slattengren A, Grettie J, et al.
Qualitative assessment of patients receiving prolotherapy for knee
osteoarthritis in a multimethod study. J Altern Complement Med. 2016;
22(12):983–9.
21. Rolfson O, Wissig S, van Maasakkers L, Stowell C, Ackerman I, Ayers D, et al.
Defining an international standard set of outcome measures for patients
with hip or knee osteoarthritis: consensus of the International Consortium
for Health Outcomes Measurement Hip and Knee Osteoarthritis Working
Group. Arthritis Care Res. 2016;68(11):1631 –9.
22. Carmona-Terés V, Moix-Queraltó J, Pujol-Ribera E, Lumillo-Gutiérrez I, Mas X,
Batlle-Gualda E, et al. Understanding knee osteoarthritis from the patients ’
perspective: a qualitative study. BMC Musculoskelet Disord. 2017;18(1):225.
23. Jones CA, Suarez-Almazor ME. Patient expectations and total knee
arthroplasty. JCOM. 2017;24(8):364-70.
24. Lange T, Rataj E, Kopkow C, Lützner J, Günther K-P, Schmitt J. Outcome
assessment in total knee arthroplasty: a systematic review and critical
appraisal. J Arthroplasty. 2017;32(2):653– 65.e1.
25. Lange T, Schmitt J, Kopkow C, Rataj E, Günther K-P, Lützner J. What do
patients expect from total knee arthroplasty? A Delphi consensus study on
patient treatment goals. J Arthroplasty. 2017;32(7):2093 –9.e1.
26. Ruiz MI, Tejedor A, Gil EG, Revenga C, Hermosa J, Montfort J, et al. GEDOS-
SECOT consensus on the care process of patients with knee osteoarthritis
and arthoplasty. Rev Esp Cir Ortop Traumatol. 2017;61(5):296 –312.
27. Spitaels D, Vankrunkelsven P, Desfosses J, Luyten F, Verschueren S, Van
Assche D, et al. Barriers for guideline adherence in knee osteoarthritis care:
a qualitative study from the patients ’ perspective. J Eval Clin Pract. 2017;
23(1):165–72.
28. Tolk JJ, Janssen RPA, Prinsen CAC, Latijnhouwers DAJM, van der Steen MC,
Bierma-Zeinstra SMA, Reijman M. The OARSI core set of performance-based
measures for knee osteoarthritis is reliable but not valid and responsive.
Knee Surg Sports Traumatol Arthrosc. 2019;27(9):2898-909.
29. Pusic AL, Klassen AF, Scott AM, Klok JA, Cordeiro PG, Cano SJ. Development
of a new patient-reported outcome measure for breast surgery: the BREAST-
Q. Plast Reconstr Surg. 2009;124(2):345 –53.
30. Potter S, Holcombe C, Ward J, Blazeby J, Group BS, Brookes S, et al.
Development of a core outcome set for research and audit studies in
reconstructive breast surgery. Br J Surg. 2015;102(11):1360 –71.
31. Vincent K, Kennedy S, Stratton P. Pain scoring in endometriosis: entry
criteria and outcome measures for clinical trials. Report from the Art and
Science of Endometriosis meeting. Fertil Steril. 2010;93(1):62 –7.
32. Meuleman C, Tomassetti C, D’ Hooghe TM. Clinical outcome after
laparoscopic radical excision of endometriosis and laparoscopic segmental
bowel resection. Curr Opin Obstet Gynecol. 2012;24(4):245 –52.
33. Hirsch M, Duffy JM, Barker C, Hummelshoj L, Johnson NP, Mol B, et al.
Protocol for developing, disseminating and implementing a core outcome
set for endometriosis. BMJ Open. 2016;6(12):e013998.
34. Vanhie A, Meuleman C, Tomassetti C, Timmerman D, D'Hoore A, Wolthuis A,
et al. Consensus on recording deep endometriosis surgery: the CORDES
statement. Hum Reprod. 2016;31(6):1219 –23.
35. Kirkham JJ, Gorst S, Altman DG, Blazeby JM, Clarke M, Devane D, et al. Core
outcome set–STAndards for reporting: the COS-STAR statement. PLoS Med.
2016;13(10):e1002148.
36. Boers M, Kirwan JR, Tugwell P, Beaton D, Bingham CO, Conaghan PG, et al.
The OMERACT handbook: OMERACT; 2018. http://www.omeract.org/pdf/
OMERACT_Handbook.pdf.
37. Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol 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 –45.
38. Mokkink LB, Terwee CB, Knol DL, Stratford PW, Alonso J, Patrick DL, et al.
The COSMIN checklist for evaluating the methodological quality of studies
on measurement properties: a clarification of its content. BMC Med Res
Methodol. 2010;10(1):22.
39. Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, et al.
The COSMIN checklist for assessing the methodological quality of studies
on measurement properties of health status measurement instruments: an
international Delphi study. Qual Life Res. 2010;19(4):539– 49.
40. Fauconnier A, Staraci S, Daraï E, Descamps P, Nisolle M, Panel P, et al. A self-
administered questionnaire to measure the painful symptoms of
endometriosis: results of a modified DELPHI survey of patients and
physicians. J Gynecol Obstet Hum Reprod. 2018;47(2):69 –79.
41. Terwee CB, Jansma EP, Riphagen II, de Vet HC. Development of a
methodological PubMed search filter for finding studies on measurement
properties of measurement instruments. Qual Life Res. 2009;18(8):1115 –23.
42. Mokkink LB, de Vet HCW, Prinsen CAC, Patrick DL, Alonso J, Bouter LM, et al.
COSMIN risk of Bias checklist for systematic reviews of patient-reported
outcome measures. Qual Life Res. 2018;27(5):1171 –9.
43. Prinsen CAC, Mokkink LB, Bouter LM, Alonso J, Patrick DL, de Vet HCW, et al.
COSMIN guideline for systematic reviews of patient-reported outcome
measures. Qual Life Res. 2018;27(5):1147 –57.
44. Gargon E, Gorst SL, Harman NL, Smith V, Matvienko-Sikar K, Williamson PR.
Choosing important health outcomes for comparative effectiveness
research: 4th annual update to a systematic review of core outcome sets for
research. PLoS One. 2018;13(12):e0209869.
45. Sinha IP, Smyth RL, Williamson PR. Using the Delphi technique to determine
which outcomes to measure in clinical trials: recommendations for the
future based on a systematic review of existing studies. PLoS Med. 2011;
8(1):e1000393.
46. Hsu C-C, Sandford BA. The Delphi technique: making sense of consensus.
Pract Assess Res Eval. 2007;12(10):1 –8.
47. Keeney S, Hasson F, McKenna HP. A critical review of the Delphi technique
as a research methodology for nursing. Int J Nurs Stud. 2001;38:5.
Publisher’sN o t e
Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
Kaiser et al. Trials (2020) 21:773 Page 10 of 10
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.