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Open Access 07-04-2025 | Review

A COSMIN systematic review of generic patient-reported outcome measures in Switzerland

Auteurs: Thanh Elsener, Matthew Kerry, Nikola Biller-Andorno

Gepubliceerd in: Quality of Life Research

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Abstract

Purpose

To conduct a systematic review of the quality of generic patient-reported outcome measures (PROMs) for clinical or population research or practice using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology, and to derive recommendations for usage of generic PROMs within Switzerland.

Methods

We searched six databases (PubMed, CINAHL, Web of Science, PsycINFO, EMBASE, Cochrane) and grey literature in Switzerland to identify studies reporting on the development or validation of any generic PROMs used in Switzerland. Methodological quality of each study was assessed with COSMIN’s Risk of Bias Checklist. Measurement property evidence (content validity and psychometrics) was further evaluated according to COSMIN’s criteria for good measurement properties. Overall evidence was synthesized according to COSMIN’s modified GRADE approach to generate recommendations for future use or disuse of generic PROMs within Switzerland.

Results

Data from k = 49 studies reporting on five PROMs (EQ-5D, SF-36, PROMIS-29, WHOQOL-BREF, WORQ) were included. Among these, the SF-36 can be recommended for use. The PROMIS-29, WHOQOL-BREF, and WORQ have the potential to be recommended for use, but require further validation. The EQ-5D is not recommendable for future use.

Conclusion

With a limited number of content validity studies, WHOQOL-BREF showed sufficiency with moderate quality, while other PROMs showed mixed quality ranging from very low to moderate. Synthesizing all measurement property evidence, SF-36 was identified as recommendable. PROMIS-29, WHOQOL-BREF, and WORQ were identified as potentially recommendable pending further validation evidence. The EQ-5D was identified as unrecommendable for future use within Switzerland.
Opmerkingen

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s11136-025-03942-x.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Afkortingen
PROM
Patient-reported outcome measure
HR-QoL
Health related quality of life
COSMIN
COnsensus-based Standards for the selection of health Measurement Instruments
SF-36
36-Item short form health survey
EQ-5D
5-Item European Quality of Life 5 Dimensions
WHOQOL-BREF
26-Item World Health Organization Quality of Life Brief Version
PROMIS
29-Item patient-reported outcomes measurement information system
WORQ
42-Item work rehabilitation questionnaire
WHO-5
The World Health Organisation-five well-being index
PRISM
Pictorial representation of illness and self measure
EUROHIS-QOL
8-Item European Health Interview Survey-Quality of Life
SEIQoL-DW
Schedule for the evaluation of individual quality of life
SEL
Skalen zur Erfassung der Lebensqualit¨at

Introduction

Patient-reported outcome measures (PROMs), defined as “a report coming directly from patients about how they feel or function without interpretation by healthcare professionals or anyone else” continue to figure prominently in quality-based paradigm shifts of national health systems [1]. In Switzerland, PROMs’ growth is further exhibited by several governmental and professional recommendations toward improving healthcare quality [25]. In contrast to Switzerland’s rapidly evolving usage of disease-specific PROMs, however, there is no coherent guidance for usage of generic PROMs [2, 6, 7]. Extrapolating, the literature’s systematic reviews of generic PROMs have largely focused on specific diseases/conditions or patient segments [8], whereas only one study that we are aware of specifically focus geographically for country-specific recommendations [1]. Steinbeck et al. [9] highlighted that, until 2021, projects were initiated from either voluntary bottom-up provider or regional level, mainly focusing on orthopedics and cancer care because of their feasibility. Efforts have been paid to study beyond individual level such as a pilot project from Canton of Wallis, where they collect PRO-data across settings from hospitals, care homes and disease areas. An outstanding example is from the University of Basel, where they have successfully implemented 15 outcome standard sets in areas like orthopedics, cancer care, and chronic diseases. However, sofar, there is no uniform PRO-collection framework and no standard PROM sets that prohibits sustainable implementation with high quality of data. In extreme cases, lack of country-specific generic PROMs has resulted in Switzerland utilizing neighboring or linguistically similar countries’ reference values for comparative effectiveness purposes [10]. Similar to other developed nations’ health systems, given Switzerland’s aging population (20% > age 65) and concomitant multimorbidity-related costs (33%/chronic condition), formulating actionable recommendations for generic PROMs holds great import [11, 12]. Furthermore, the intersection of Switzerland’s advanced, private Bismarckian health-insurance model and its heterogeneous linguistic composition presents a challenge that may be concomitant only to its value-potential for establishing generic-PROM recommendations [13]. Finally, conducting a precedential systematic review within a multi-linguistic country may serve substantive interest to health researchers from other multi-linguistic countries (e.g., Belgium, Canada, India) aiming to render their own PROM recommendations. Fortunately, the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology facilitates the process of generating recommendations for PROM usage [14]. Generally, the COSMIN system enables researchers to: (1) Assess methodological quality of PROM development, content validity, and psychometric studies, (2) Evaluate PROMs’s measurement properties (content and psychometric), (3) Grade the overall quality of evidence, and (4) Synthesize all aspects to formulate recommendations. For the current systematic review, therefore, the aim is to identify all previously used generic PROMs that measure health-related quality of life for adults living in Switzerland and evaluate their measurement properties using the COSMIN methodology, summarize evidence, compare and formulate recommendations (recommendable, needing further validation, or unrecommendable) for future usage by clinicians and researchers.

Methods

Conductance and reporting protocol

The present systematic review was conducted in accordance to the COSMIN manual Version 1.0 February 2018 [14, 15]. All reporting follows COSMIN guidelines and the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA- 2020) statement [16].
Table 1
Ten measurement properties assessed in the study
Measurement property
Assessment
Content validity
 
1. \(\text {PROM development}^{a}\) (PROM design, Cognitive interview study or pilot testing):
\(\text {Quality}^{*}\)
2. Content validity:
(Relevance, Comprehensibility, Comprehensiveness)
\(\text {Quality}^{*}\)
\(\text {Rating}^{**}\)
Internal structure
 
3. Structural validity
\(\text {Quality}^{*}\)
4. Internal consistency
\(\text {Rating}^{**}\)
5. Cross?cultural validity
 
Remaining
 
7. Measurement error
 
8. Criterion validity
 
9. Hypotheses testing for construct validity
 
10. Responsiveness
 
\(\text {PROM development}^{a}\) is not a measurement property, but taken into account when evaluating content validity. \(^{*}\): the methodological quality of evidence of single study was rated using COSMIN Risk of Bias with four categories: very good, adequate, doubtful, inadequate, \(^{**}\): the result of single study for each measurement property was rated against COSMIN good measurement criteria with three categories: sufficient (+), insufficient (−), indeterminate (?)
Table 2
Summarized grading the quality of content validity’s evidence
Final grade of quality
Criteria
High
At least one content validity study of very good or adequate
Moderate
At least one content validity study of doubtful quality
Only content validity studies with inadequate quality of no content validity studies available but with a very good or adequate PROM development study
Low
Only content validity studies with inadequate quality of no content validity studies available but with a doubtful PROM development study
Very low
Only reviewers rating available, no content validity and no PROM development study (or inadequate quality)
Search protocol can be found in the Appendix. In brief, the search strings were composed according to the exclusion filter from Terwee et al. [17] together with Oxford filter and were combined with the keyword ’Switzerland’ or ’Swiss’ and ’patient-reported outcome’. Therefore, this systematic review focused exclusively on studies conducted within Switzerland. Additionally, we also used 17 generic PROMs, identified by Churruca et al. [18] in 2021, and searched from six electronic databases Pubmed, CINAHL, Cochrane, Web of Science, PsycINFO and EMBASE. Children or pediatric population or animal related studies were excluded. There was no restriction to time or language. We aimed to find all possible studies that used generic PROM and were conducted in Switzerland. Primarily, we want to assess the content validity and the measurement properties of generic PROMs used in Switzerland. Secondarily, we want to understand how and where they have been implemented.

Eligibility criteria

We included only full-text primary research articles published in English, German, French, or Italian. Non-English studies were translated into English using Google Translate. Participants in the included studies were required to be over 18 years of age and residing in Switzerland.
It is important to note that PROMs are one aspect of the superordinate construct, health-related quality of life (HR-QoL) [19]. In our study, only a subset of PROM, the generic HR-QoL measurement, was considered. That is if a generic PROM assessed at least three domains of quality of life: physical, mental, and social. Therefore, we excluded studies that utilized single-item measures of overall quality of life or PROMs assessing fewer domains, as well as specific PROMs focused on only one disease condition.
Eligible studies were required to report on at least one aspect of PROM development, content validity, or a measurement property. Studies that used PROMs solely as secondary instruments or did not provide sufficient information for the Swiss population (e.g., failing to report mean or standard deviation of a PROM score for the Swiss population in international studies) were excluded.
For studies published in multiple journals or using the same cohort with identical PROMs over time, we flagged them as containing duplicated or derivative datasets and included only the studies providing the most comprehensive information (e.g., largest sample size).

Study selection

First, two reviewers (MK and TE) independently screened titles and articles. After an inter-rater agreement above 80% of screening 200 full-text papers was reached, the reviewers split to screen full-text articles individually. The screening process was tracked by COVIDENCE, a web-based tool for systematic review management. A subset of full-text articles were selected to record the name of used PROM, the health’s domain and sector, and the characteristics of study population.
If information on PROM development or important measurement properties (e.g. Structural validity) were missing, we searched from Google or COSMIN systematic review database for additional studies in neighboring countries such as Germany, France, Italy or EU regions.

Data extraction and appraisal

For details of information about the COSMIN definitions, methodology, Risk of Bias checklist and content validity checklist, please refer to Prinsen et al. [14], Terwee et al. [15], Mokkink et al. [20]. Data were extracted and stored in Google Sheet using the modified Excel template to document ratings and determine quality ratings provided by the COSMIN website. The PRISMA flowchart was built and descriptive statistics were performed using R (version 4.3.0, http://​www.​r-project.​org) and RStudio (version 2023.03.0).
As shown briefly in Table 1, ten measurement properties were assessed ranging from content validity including PROM development and its three main aspects (relevance, comprehensiveness, comprehensibility) to internal structure and other remaining properties. For each measurement property, the results of individual studies were rated using COSMIN criteria for good content validity and measurement with three categories (sufficient +, insufficient −, indeterminate?). For example, reliability was rated sufficient (+) if one study showed ICC or weighted Kappa ≥ 0.70. Additionally, the methodological quality of each study was graded using COSMIN Risk of Bias checklist with four categories (very good, adequate, doubtful, inadequate). Except for PROM development, because it is not a measurement property but is important, we only rated the methodological quality of relevant studies.
Each aspect of PROM development (e.g., PROM design) and content validity (e.g., Relevance) was evaluated separately. In addition to the available evidence from the literature, reviewers also rated the content of the PROM themselves. Reviewer ratings were counted as evidence, but these had lower leverage compared to the content validity study and the PROM development study.
The COSMIN Risk of Bias checklist contains ten boxes evaluating the corresponding methodological quality of each measurement property, with each box containing multiple standards. The overall quality rating of each study on a measurement property was determined applying the ’worst score counts’ principle, which took the lowest rating of any standard in a given box.
The COSMIN User Manual for assessing the content validity of PROMs [15] suggests that in case no content validity studies are available for the target population, researchers may consider including studies conducted in slightly different populations. As a consequence, the quality of evidence should be downgraded to account for this indirectness. Given that Switzerland shares geographical borders and national languages with Germany, France, and Italy, we also reviewed evidence from these neighboring countries. This approach was intended to strengthen the quality of the review, as there was limited research on content validity specifically conducted in Switzerland at the time of conducting this systematic review (2023).
Furthermore, in the assessment of internal structure, COSMIN guideline [14, 15, 17] recommended that structural validity should be evaluated prior to internal consistency, as the interpretation of internal consistency is dependent on the results of structural validity. Evidence supporting structural validity can be gathered from multiple studies, which should be synthesized and evaluated for quality. If limitations such as indirectness are identified, the evidence should be downgraded accordingly. Only after this process is completed should the internal consistency be assessed. Consequently, the quality of evidence for internal consistency cannot exceed that of structural validity. To address gaps in domestic data, researchers seek additional studies from neighboring countries.

Evidence synthesis

After rating individual studies, the evidence was synthesized for each PROM. The evidence for each measurement property was pooled qualitatively into four categories: sufficient (+), insufficient (−), inconsistent (±) and indeterminate (?). If more than 75% of the individual results were either ‘sufficient’ or ‘insufficient’, the pooled results were considered consistent and qualitatively summarized and rated against the COSMIN criteria once again. In case of inconsistency, the reviewers sought for an explanation. In case of remained unexplained inconsistency, the overall result was rated as ‘inconsistent’ (±). An ‘indeterminate’ (?) rating was given when the individual results were all rated as ‘indeterminate’.
Finally, the quality of the evidence was graded as high, moderate, low or very low evidence using the modified GRADE approach. This approach used four factors to downgrade the quality: (1) risk of bias, (the methodological quality of individual studies), (2) inconsistency (unexplained inconsistency of results across studies), (3) imprecision (small total sample size of the available studies), and (4) indirectness (evidence from different populations than the population of interest). Specifically for content validity, COSMIN provided a simplified process to grade the final quality of evidence after downgrading from the modified GRADE approach, as shown in Table 2. All of the steps mentioned in data extraction & appraisal and evidence synthesis were performed independently by two reviewers (MK and TE). Disagreement was discussed until consensus was reached.
Characteristics of the study population (i.e. age, sex, participant condition characteristics, study setting and design, language and location) of the selected studies for assessing PROM development and content validity or measurement properties were extracted by TE and confirmed by MK.
For a general outline of the COSMIN methodology, Fig. 1 shows four main steps to evaluate a measurement property of a PROM: (1) Risk-of-bias rating, (2) Measurement property assessment, (3) Qualitative pooling across studies, and (4) Evidence quality grading.

Formulating recommendation

From the final synthesized evidence of all ten measurement properties, COSMIN guideline v.1 recommends to categorize PROMs into three categories: Category (A) includes PROMs having sufficient evidence for content validity with any level of quality and at least low quality evidence for sufficient internal consistency, and hence is recommendable for further use. Category (C) includes PROMs having insufficient evidence of any measurement property with high quality and hence is not recommendable for further use. Category (B) contains PROMs that cannot be classified as (A) or (C) and hence needs further research before further recommendation.

Results

The search results from multiple databases were imported and stored in COVIDENCE from September 2023 to November 2023. The search resulted in 36 studies in the final selection from 5241 articles. 867 duplicate records were found. 2833 records were excluded after screening title and abstract and 29 could not be retrieved. A total of 1476 full-text articles did not meet the inclusion criteria.
Besides search results from six databases, from Google search, we included finally 13 additional studies that were needed for our data synthesis. These studies provided evidence mainly for content validity and structural validity, since these evidence was not available in Switzerland at the time conducting this review.
Figure 2 presents a PRISMA flow chart o f t he selection process. Of 48 final selected studies, 42 studies were used to extract data for measurement properties and 6 studies for content validity. Evidence for four PROMs (EQ-5D, PROMIS-29, SF-36, WHOQOL-BREF) were found to be in accordance with the inclusion criteria and hence were selected for our further analysis. In addition, we included WORQ, a PROM developed originally for vocational rehabilitation. Even though it only includes functioning questions, it was developed in Switzerland and tested in different groups of patients for various measurement properties.

Descriptive statistics

First, to answer which generic PROMs have been used and where they have been implemented in Switzerland, descriptive statistics were conducted.
Among the 1476 excluded studies, the majority utilized PROM as a secondary instrument. Specifically, we identified at least 250 studies using various versions of the SF-36, 93 using the EQ-5D, 38 using the WHOQOL-BREF, 30 employing a single-item self-rated health measure, and 29 using the Patient Global Impression of Change. Additionally, 11 studies used locally developed PROMs, which consisted mainly of a few items from a well-described HR-QoL, 8 utilized the Nottingham Health Profile, and a smaller number employed the following questionnaire: WHO-5 (6), PRISM (5), King’s Health Questionnaire (3), Patient Health Questionnaire (3), EUROHIS-QOL (1), McGill Quality of Life Questionnaire (1), Moorehead–Ardelt Quality of Life Questionnaire (2), SEIQoL-DW (1), SEL (1). About one-third of the excluded studies were published after 2019.
Together with the 36 included new selected studies in the finals, we selected a subset of 263 random studies out of 1476 excluded studies to study which health domains generic PROMs have been used in Switzerland. Figure 3 showed their distribution (k = 299) in different health domains. The majority of the studies used generic PROMs in Clinical Medicine, especially in Musculoskeletal, Orthopedic and Rheumatology predictably. However, a wide range of implementation was observed ranging from Mental, Neurological to Epidemiology and Genetic sector. A detailed list of conditions and sectors can be found in the additional extended data. An overall increasing trend of generic PROM usage is shown in the Appendix Fig. B1.
Among 299 studies, 187 explicitly reported the use of language as an inclusion criterion. Among these, 171 studies used national languages (German, French, Italian, or combinations thereof), 8 included English, 3 used Spanish, 2 Albanian, and 1 used Turkish, Arabic, Farsi, or Tamil.

Content validity

Six studies were analyzed to assess the content validity of five patient-reported outcome measures (PROMs). The characteristics of these six studies and the participants are detailed in Table 3. Two of the studies specifically evaluated the development quality of WHOQOL-BREF and WORQ. For the SF-36, EQ-5D, and PROMIS-29 measures, existing ratings of development quality were sourced from the COSMIN website [21, 22]. The remaining four studies were examined both the rating and the quality of content validity. Detailed ratings, including for development and content validity studies, along with the subjective evaluations of the reviewers, are provided in Table 4. COSMIN rating for quality of evidence and for overall rating was conducted by two sets of boxes separately with different qualitative summarize methods. Therefore, in some cases such as the relevance of SF-36, the quality of a study could be doubtful followed by an undetermined rating.
Table 3
Population characteristics for PROM development and content validity studies
PROM
Ref
Year
Age
Settings
Design
Location
Language
PROMIS-29
Kerry et al. [23]
2023
\(\mu = 47.35\)
Online survey and meeting
4 round digital Delphi Study
Switzerland
German
WORQ
Portmann et al. [24]
2013
\(\mu = 29.2\), sd = 11.7
Clinic
Qualitative study with semi-guided interviews
Switzerland
German
Finger et al. [25]
2013
  
Cognitive testing
Switzerland
German
WHOQOL-BREF
WHOQOL Group 1998 [26]
1998
< 45 years 50%, 45+ 50%
33 field centers: primary care settings, hospitals and community care settings
Mixed study (qualitative interview, content analysis, and quantitative survey)
International collaborative without Switzerland
30 languages including German, French, Italian
SF-36
Perneger et al. [27]
1992
  
Pilot testing study
Switzerland
French
EQ-5D, SF-36, WHOQOL-BREF
Rohr et al. [28]
2020
\(\mu = 81\)
Hospital
Qualitative study with think aloud methodology and semi-standardized interview
Germany
German
Table 4
Synthesized evidence for content validity from individual evidence from individual studies and reviewers rating
Ref
Relevance
Comprehensiveness
Comprehensibility
 
Ratings
Quality
Ratings
Quality
Ratings
Quality
WHOQOL-BREF
 Development: [26]
+
V
+
V
+
V
 Content validity: [26]
+
V
+
V
+
V
 Content validity: [28]
+
A
A
+
A
 Reviewers
+
 
+
 
+
 
Overall
+
Moderate
+
Moderate
+
Moderate
SF-36
 Development: [21, 22]
 
I
 
I
 
I
 Content validity: [27]
?
D
?
D
  
 Content validity: [28] \(^{**}\)
+
A
A
+
A
 Reviewers
+
 
+
 
+
 
Overall
+
Moderate
+
Low
+
Moderate
\(\text {PROMIS-29}^{*}\):
 Development: [21, 22] \(^{*}\)
 
D
 
D
 
A
 Content validity: [23]
?
D
?
D
?
I
 Reviewers
+
 
+
 
+
 
Overall
+
Low
+
Low
+
Moderate
WORQ:
 Development: [25]
 
I
 
A
 
D
 Content validity: [24]
?
I
?
I
  
 Reviewers
+
 
+
 
+
 
Overall
+
Very low
+
Moderate
+
Low
EQ-5D:
 DV: [21, 22]
 
I
 
I
 
I
 Content validity: [28]
+
A
A
+
A
 Reviewers
+
 
 
+
 
Overall
+
Moderate
Moderate
+
Moderate
I: inadequate, D: doubtful, A: adequate, V: very good. \(+\): Sufficient, −: Insufficient,?: indeterminate, ±: inconsistent. \(^{*}\): evidence is only available for the versions of PROMIS Physical Function short form. Development: studies collecting evidence for PROM development, Content validity: studies collecting evidence for any of the three aspects of PROM Content validity. \(^{**}\): [28] used SF-12, a shorter form of SF-36, has only one or two items from each of the eight health concepts of the SF-36
Table 4 presents the synthesized evidence on the content validity of the five PROMs. Overall, because of the limited number of studies available, studies from neighboring countries were search and included to strengthen to quality of our review. However, the grade of quality was downgraded because of its indirectness to the population of interest. The quality of evidence regarding content validity was moderate to very low for most of the assessed PROMs, with the exception of the WHOQOL-BREF. While most ratings were sufficient, the EQ-5D showed insufficient comprehensiveness. This conclusion was drawn from a study conducted on a small sample of elderly German patients with hip fractures [28], a population with physical limitations. Population characteristics of individual studies are detailed in Table 3 in the Appendix. In the case of PROMIS-29, we only found the COSMIN existed PROM development ratings with doubtful to adequate quality for the versions of PROMIS Physical Function short form. As a result, we concluded sufficiency in three aspects with low to moderate quality for the physical domain of PROMIS-29, whereas the remaining domains were assigned very low evidence quality after applying the modified GRADE approach to downgrade the ratings.

Other measurement properties

In total there were 42 studies assessed the measurement properties of five PROMs. The study characteristics are displayed in Table 5. The results of the ratings for methodological quality and the criteria for evaluating good measurement properties in individual studies are presented in Appendix, Table C2. A synthesis of the evidence for each measurement property of the PROMs, which was qualitatively pooled from individual study results was conducted. These findings were subsequently reassessed against the COSMIN criteria and assigned a grade for the quality of evidence using the modified GRADE approach (Table 6).
Table 5
Population characteristics for studies assessing measurement properties
Ref
Age
Settings
Design
Female (%)
n
Location
Language
EQ-5D (k = 12)
      
[29]
\(\mu =\) 66.8, sd = 8.1
Clinics
RCT
50
123
DE-CH
DE
[30]
group 1: \(\mu =\) 67.1, sd = 8.4 group 2: \(\mu =\) 69.7, sd = 8.9
Hospital
Longitudinal
45, 60
74, 169
DE-CH
DE, EN, IT, FR
[31]
\(\mu =\) 69.1, sd = 10.1
Large teaching hospital
Before–after
62.2
1565
DE-CH
[32]
\(\mu =\) 64, sd = 10
Orthopedic hospital
Longitudinal
57
454
DE-CH
DE
[33]
\(\mu =\) 64, \(\left[ 60, 67\right]\)
Orthopedic hospital
Prospective cohort, before-after
64
58
DE-CH
DE
[34]
\(\mu =\) 80, \(\left[ 65, 90+\right]\)
Community dwelling
Cross-sectional
48
2888
FR, DE, IT-CH
DE, FR, EN
[35]
\(\mu =\) 55.1, sd = 15.2, \(\left[ 21, 91\right]\)
Rheumatology and manual medicine practices
Before–after
61
96
IT-CH
IT
[36]
\(\mu =\) 46.0, sd = 8.4, \(\left[ 22.3, 61.9\right]\)
Orthopedic hospital
Before–after
54
89
DE-CH
DE
[37]
\(\mu =\) 35.9, sd = 11.5
Orthopedic hospital
Before–after
56
102
DE-CH
DE
[38]
\(\mu =\) 50.6, sd = 17.4
Regional hospitals
Before–after
6
51
 
DE
[39]
\(\mu =\) 50, \(\left[ 18, 80+\right]\)
Mail survey
Cross-sectional
56
1952
FR-CH
FR
[40]
\(\left[ 16, 93\right]\)
Home interview
Cross-sectional
53
2022
DE
DE
PROMIS-29 (k = 6)
      
[41]
\(\mu =\) 53, sd = 13, \(\left[ 21, 96\right]\)
Routine clinical practice
Cross-sectional
59
63602
NL
NL
[42]
\(\mu =\) 68.5, sd = 9
Hospital
Before–after
59
119
DE-CH
DE
[43]
\(\mu =\) 55.4, sd = 14.2
Hospital
Before–after
69
202
DE-CH
DE
[44]
\(\mu =\) 65.9, sd = 10.2
Hospital
Before–after
51
116
DE-CH
DE
[45]
\(\left[ 18,89\right]\), med = 56
Online survey
Cross-sectional
52
14098
US
EN
[46]
\(\mu =\) 51.2, sd = 12.9
Outpatient clinic
Cross-sectional
90
71
DE-CH
DE
SF-36 (k = 16)
      
[47]
\(\mu =\) 43, sd = 14
Online survey
Cross-sectional
76
1581
FR, DE, IT-CH
DE, FR, IT
[48]
\(\mu =\) 48, sd = 12.7
Rehabilitation clinic
Prospective cohort, before-after
59
177
DE-CH
DE
[49]
\(\mu =\) 49, \(\left[ 18, 95\right]\)
Questionnaire envelope
Cross-sectional
58
1209
FR, DE, IT-CH
DE, FR, IT
[50]
\(\mu =\) 66.1, sd = 10.2
Rehabilitation clinic
Prospective cohort, before-after
78
190
DE-CH
DE
[51]
\(\mu =\) 19.95, sd = 1.19
Military recruitment centers
Cross-sectional
0
48
DE, FR-CH
DE, FR
[52]
\(\mu =\) 61.9, sd = 13, \(\left[ 34.4, 87.2\right]\)
Orthopedic hospital
Before–after
71
65
DE-CH
DE
[53]
\(\mu =\) 67, sd = 9
Orthopedic hospital
Before–after
61
79
DE-CH
DE
[54]
\(\mu =\) 40.67, sd = 9.66
Local police force
Cross-sectional
25
460
DE-CH
DE
[55]
\(\mu =\) 67.3, sd = 10.4, \(\left[ 39.5,88.5\right]\)
Orthopedic hospital
Before–after
65
138
DE-CH
DE
[56]
\(\mu =\) 46.3, sd = 10.5
Rehabilitation clinic
Before–after
80
273
DE-CH
DE
[57]
\(\mu =\) 47.2, sd = 14.2, \(\left[ 18, 60\right]\)
Interview at local centers
Cross-sectional
53
216
FR, DE-CH
[58]
\(\mu =\) 68.3, sd = 9.9, \(\left[ 40, 90\right]\)
Inpatient rehabilitation
Before–after
48
114
DE-CH
DE
[59]
\(\mu =\) \(\left[ 41,47\right]\)
Mixed settings: survey
Cross-sectional
50
\(\text {n}_\text {FR} = 3,656\), \(\text {n}_\text {DE} = 2,914\), \(\text {n}_\text {IT} = 2,031\)
DK, FR, DE, IT, NL, NO, ES, SE, GB, US
[60]
Men: \(\mu =\) 48,3, sd = 9.9, \(\left[ 26, 78\right]\), women: \(\mu =\) 46.5, sd = 8.1, \(\left[ 29, 66\right]\)
Mixed settings: in-patient in hospital, outpatient in care center, social service
Prospective cohort
23
147
FR-CH
FR
[61]
\(\mu =\) 30, \(\left[ 18, 44\right]\)
Mail survey
Prospective cohort
 
851
FR-CH
FR
[27]
\(\mu =\) 30, \(\left[ 18, 44\right]\)
Mail survey
Cross-sectional
53
1007
FR-CH
NA
WHOQOL-BREF (k = 6)
      
[62]
\(\mu =\) 55.5, sd = 12, \(\left[ 26, 83\right]\)
Home
RCT
60
108
SwiSCI
DE
[63]
\(\mu =\) 79.6, sd = 6.3, \(\left[ 63, 93\right]\)
University geriatric outpatient-center
RCT
52
54
 
DE
[64]
\(\mu =\) 36.3, \(\left[ 18, 65\right]\)
Online therapy
Longitudinal interventional clinical trial
77
252
 
[65]
\(\mu =\) 40, \(\left[ 15, 60\right]\)
National household survey with telephone interview
Cross-sectional
52
10038
FR, DE, IT-CH
DE, FR, IT
[35]
\(\mu =\) 55.1, sd = 15.2, \(\left[ 21, 91\right]\)
Rheumatology and manual medicine practices
Before-after
61
96
IT-CH
IT
[66]
\(\mu =\) 45, sd = 16, \(\left[ 12, 97\right]\)
Mixed settings including healthy and sick people
Cross-sectional
 
11830
23 countries without Switzerland
WORQ (k = 3)
      
[67]
\(\mu =\)39.96, sd = 12.9
Outpatient physical therapy clinic
Cross-sectional
61
51
DE-CH
DE
[68]
\(\mu =\)43.47, sd = 10.9
Rehabilitation teaching hospital
Longitudinal
11
221
FR-CH
FR
[69]
\(\mu =\)44, \(\left[ 41.7, 46.4\right]\)
Rehabilitation teaching hospital
Cross-sectional
8
89
FR-CH
FR
Studies are organized in descending order of publication year. \(\mu\): mean, sd: standard deviation, \(\left[ min, max\right]\): range of values. BA: before-after study, RCT: randomized control trial; DE-, FR-, IT-CH: German, French, Italian-speaking areas of Switzerland; DK: Denmark, FR: France, DE: Germany, IT: Italy, NL: Netherlands, NO: Norwegian, ES: Spain, SE: Sweden, GB: Great Britain, US: USA, CH: Switzerland
Table 6
Synthesized evidence for other measurement properties
PROM
Measurement Property
Synthesized result
Overall rating
Quality of evidence
SF-36
Structural validity
CFI > 0.95
+
Moderate
(k = 16)
Internal consistency
Cronbach’s \(\alpha = 0.85, \in \left[ 0.7, 0.93 \right]\)
+
Moderate\(^{*}\)
Reliability
\(\text {ICC}_{mean} = 0.74, \in \left[ 0.28, 0.9 \right]\)
+
High
Measurement error
\(\text {SEM}_{PCS} = 3.5\), \(\text {SEM}_{MCS} = 2.9,\)
  
 
\(\text {MDC}_{PCS} = 9.7\), \(\text {MDC}_{MCS} = 8.0\)
?
 
Construct validity
87.5% studies (7/8) confirmed
+
High
Responsiveness
89% studies (8/9) confirmed
+
High
EQ-5D
Structural validity
RMSEA = 0.06, GFI = 0.976
+
Moderate
(k = 12)
Internal consistency
Cronbach’s \(\alpha\) 0.83 (one sided CI: 0.77)
+
Very low
Reliability
\(\text {ICC}_{mean} = 0.8,\in \left[ 0.67, 0.88 \right]\)
+
Low
Measurement error
Reported MIC \(\in \left[ 0.027, 0.209 \right]\)
High
Construct validity
86% studies (6/7) confirmed
+
High
Responsiveness
87.5% studies (7/8) confirmed
+
High
WHOQOL-BREF
Structural validity
RMSEA = 0.07, CFI \(\in \left[ 0.86, 0.87 \right]\) for 4-domain model
Moderate
(k = 6)
Internal consistency
Cronbach’s \(\alpha\) \(\in \left[ 0.48, 0.83 \right]\)
?\(^{*}\)
 
Reliability
\(\text {ICC}_{mean} = 0.87, ~\in ~\left[ 0.79, 0.92 \right]\)
+
Very low
Measurement error
SEM (Whole) = 0.72
?
Very low
Construct validity
100% (3/3) confirmed
+
High
Responsiveness
67% studies (2/3 confirmed negative
?
Moderate
PROMIS (k = 6)
Structural validity
\(\text {CFI}~\in ~\left[ 0.95, 0.994 \right]\), \(\text {RMSEA}~\in ~\left[ 0.04, 0.1 \right]\)
+
High
Internal consistency
Cronbach’s \(\alpha\) 0.89
+
High
Reliability
\(\text {ICC}_{mean} = 0.85,\in \left[ 0.69, 97 \right]\)
+
High
Measurement error
ROC-based: \(\text {MIC}_{PAIN}~=~4\), \(\text {MIC}_{PI}~=~5\), \(\text {MIC}_{PF}~=~4.6\)
  
 
Anchor-based: \(\text {MIC}_{PAIN}~=~10\), \(\text {MIC}_{PI}~=~8.56\), \(\text {MIC}_{PF}~=~7.79\)
?
 
Construct validity
100% (3/3) confirmed
+
High
WORQ (k = 3)
Structural validity
No clear violation in unidimensionality, local independence, monotonicity and adequate model fit
+
High
Internal consistency
Cronbach’s \(\alpha\) \(\in \left[ 0.84, 0.968\right]\), \(\text {PSI}> 0.86\)
\(+\)
High
Reliability
ICC = 0.935, CI (0.889–0.963)
+
Moderate
Construct validity
100% (2/2) confirmed
+
High
CFI: Comparative Fit Index, RMSEA: Root Mean Square Error of Approximation, GFI: Goodness of Fit, PSI: Person Separation Index, ICC: Intraclass Correlation coefficient, SEM: Standard Error of Measurement, SDC: Smallest Detectable Change, MDC: Minimal Detectable Change, ROC: Receiver Operator Curve. \(\mu\): mean, sd: standard deviation, \(\left[ min, max\right]\): range of values. PCS: Physical component score, MCS: Mental component score, PAIN: pain intensity, PI: pain interference, PF: physical function
*Quality of evidence was downgraded due to quality of evidence of internal consistency can not be higher than structural validity. Detail ratings can be found in the appendix

Formulating recommendation

SF-36 has shown sufficient content validity (with moderate quality for relevance and comprehensibility and low quality for comprehensiveness) and sufficient internal consistency with moderate quality of evidence. Therefore, SF-36 is classified as category A and is recommendable for further use.
On the other hand, EQ-5D has shown insufficient content validity with moderate quality as well as insufficient measurement error with high quality, falls in the category (C) according to COSMIN guideline v1.0 and hence it is not recommendable for further use.
WHOQOL-BREF has sufficient content validity with overall moderate quality of evidence. However, there was insufficient structural validity with a moderate quality of evidence, the internal consistency has shown a wide range of Chronbach’s α, and the lower number of available studies, it is concluded that WHOQOL-BREF remains in category B and requires further studies for any further recommendation.
PROMIS-29 was classified a s B. Because the physical function domain demonstrated sufficient content validity with lo w to moderate quality evidence, along with high-quality evidence for sufficiency in other measurement properties. However, other domains suffer from the lack of evidence. In this systematic review, only four studies from Switzerland have been published between 2019 and 2023.
Lastly, WORQ, with a very limited number of found evidence (k = 3), was categorized B because of its sufficiency in content validity and internal structure. It requires more longitudinal studies for responsiveness validation. However, as it only contains functioning questions, it cannot be used to measure health-related quality of life, rather than a tool for measuring work-related quality of life.

Discussion

This COSMIN systematic review provides precedential recommendations for generic-PROMs usage in Switzerland. The generic PROM in this systematic reviews concerned only HR-QOL tool, that measure at least three aspects: physical, mental and social health.
In our study, we found that different health sectors have been utilizing and benefiting from generic PROMs primarily from Clinical Medicine extending to public health, social medicine and alternative medicine. Our research has also shown that Switzerland has a tendency of increasingly utilizing generic PROM. Many generic PROMs have been implemented but through years, there is a convergence towards SF-36, EQ-5D, WHOQOL-BREF. SF-36, EQ-5D-3L and WHOQOL-BREF were first developed and published between 1990 and 2000 where PROMIS initiative was first developed in 2004 with PROMIS-29 first published in 2 010 [26, 7072]. The observed time shift in our study could be a result of the know-how transfer, implementation process, translation and cross-culture and other psychometrics validation.
Although diverse stakeholder interest for a generic PROM in Switzerland has been explored, empirical evidence-based recommendations were absent [23]. Although SF-36, EQ-5D have been long introduced and validated in Switzerland, some back before 2010 [39, 47, 49, 73], no up-to-date systematic review has been conducted according to the present-day standard to standardize generic PROM usage in Switzerland, to suggest recommendations for the national generic PROM program. The current study identified five generic instruments previously used in Switzerland. Our findings are elaborated below according to the following COSMIN evaluative criteria for focusing future research efforts: (1) Content validity, (2) Internal structure, and (3) Additional measurement properties [20].
First, regarding development and content validity, it is notable that the vast majority of generic PROMs exhibited low to moderate quality of content validity that rely on studies from other countries [21, 22, 28]. An exception is the WHOQOL-BREF, which exhibited moderate content validity [26], due to the global cross-cultural adaption effort with large focus on qualitative method in 1998. Encouragingly, qualitative research has begun systematically examining patient-reported experiences, and these data may be utilized to yield insights into further generic PROM development and content validation efforts [74]. EQ-5D has showed in Rohr et al. [28] to have insufficiency in content validity in a group of German geriatric patients with physical limitation. In Switzerland, where population is aging rapidly with more than 60% are German speakers, for population wise implementation, it is recommended that EQ-5D should be adapted and tested again before use.
Second, regarding internal structure, SF-36 and WORQ exhibited the highest evidence, whereas WHOQOL-BREF exhibited the lowest evidence. Auspicious for future research in Switzerland is the measurement property of cross-cultural validity. Of all our studies, only two examined measurement invariance and the evidence for structural validity for all PROMs except for WORQ was borrowed from studies outside of Switzerland. This will be critical to future linguistic-/cultural-validation efforts, and should be guided by modern psychometrics, such as item response theory. We are currently undertaking such research in a Swiss-nationally representative cross-sectional survey. Interestingly, although the use of official-language translations were prominent, there was a disproportionate absence of English-based generic PROMs. Switzerland has about 27% non-Swiss residents and English is the most widely spoken non-official language in Switzerland, with 45% of the population using it regularly [75]. This absence of English-based generic PROMs could inhibit the collection and interpretation of QOL of a large subgroup of Swiss population and could not reflect their perspective. Hence, this could be critical for researching migrant, urban, or high-system usage populations [11].
Third, regarding additional measurement properties, evidence varied considerably. For example, across all PROMS, construct validity as reported most often, whereas reliability and especially measurement error were reported least often as shown in Table 7. Furthermore, SF-36 exhibited highest quality evidence, whereas WHOQOL-BREF exhibited lowest quality of evidence. Stephan et al. [4244] proved PROMIS short forms for pain and function to have sufficiency with high quality. This provides partial confidence for further validation of the full version of PROMIS-29. In constructive critique, we observed partial conflation with properties of reliability, measurement error, and responsiveness, and hope that these properties may be better delineated in impending updates to the COSMIN criteria.
Table 7
Occurrence frequency of reported additional measurement properties in 35 selected studies
Measurement property
Studies reporting quality
Studies reporting ratings
Construct validity
25
24
Responsiveness
23
22
Reliability
16
15
Measurement error
6
6
Total studies
35
35

Limitations

This study has several limitations. First, the true value of PROM usage may be under-estimated due to the relatively low number of included studies and 29 studies could not be retrieved, which might not fully reflect the broader literature. Notably, 10 of these 29 studies were published prior to 2000, and 23 were published before 2017. Based on their titles and abstracts, it is likely that these studies primarily utilized PROMs as measurement tools rather than focusing on reporting their measurement properties and hence likely fall into the exclusion criteria.
Second, our search strategy may have missed relevant studies, especially those not indexed in the selected databases or using different terminology. Finally, we may have overlooked unpublished or grey literature, such as dissertations and conference proceedings. It is also important to note that linguistic translation is distinct from cultural adaptation, and we encourage future iterations of the COSMIN guidelines to highlight this in future interactions [76]. This could introduce publication bias and limit the generalizability of our findings.
Third, this systematic review was conducted and submitted before PRISMA-COSMIN was published in August 2024 Elsman et al. [77]. As a result, the methodology and reporting standards employed in this review may not fully align with the latest best practices outlined in PRISMA-COSMIN. Future updates or revisions of this work would benefit from adhering to these newly established guidelines to ensure methodological rigor and consistency with current norms. Finally, we must note that, terminologically, some researchers accord that PROMs are restricted to patient respondents, whereas public health usage in general populations are more aptly labeled profiles or generic HRQoL measures. This distinction is not critical to the purview of the current systematic review, but the principle may be of importance to some researchers.

Conclusion

Following the COSMIN guidelines v1.0 together with up-to-date evidence collected from Roser et al. [47, 49], the SF-36 is recommendable for further use for population scale measurement for HR-QoL.
Given the high-quality evidence of insufficient measurement error and moderate-quality evidence of inadequate comprehensiveness, the EQ-5D is recommended to be revised and adapted and currently is not recommended for continued use for population scale measurement.
The WHOQOL-BREF requires further validation of its internal consistency before it can be recommended. While the PROMIS-29 shows promising results for a subset of items, supported by its modern IRT-based model, additional evidence is needed to validate the full 29-item version. WORQ is reviewed here in this study because it was developed in Switzerland, shows to have potential and requires further validation. However, it is worth to point out again that it is a work-related QoL.
As with all validation evidence, this review should be updated to reflect the growing empirical information made available.

Acknowledgements

Acknowledgements are not compulsory.

Declarations

Conflict of interest

Not applicable.
No human data was included and hence no ethical approval needed to be obtained.
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Metagegevens
Titel
A COSMIN systematic review of generic patient-reported outcome measures in Switzerland
Auteurs
Thanh Elsener
Matthew Kerry
Nikola Biller-Andorno
Publicatiedatum
07-04-2025
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-025-03942-x