Cross-cultural translation and measurement properties of the Polish version of the Knee injury and Osteoarthritis Outcome Score (KOOS) following anterior cruciate ligament reconstruction
© Paradowski et al.; licensee BioMed Central Ltd. 2013
Received: 17 January 2013
Accepted: 21 June 2013
Published: 27 June 2013
Knee Injury and Osteoarthritis Outcome Score (KOOS) is available in over 30 languages and a commonly used Patient-Reported Outcome (PRO) for assessment of treatment effects following knee surgery. The aim of the study was to report the linguistic translational process and evaluate the psychometric properties of the Polish version of the KOOS questionnaire.
We translated and culturally adapted the KOOS according to current guidelines for use in Poland. Patients who had undergone anterior cruciate ligament reconstruction (ACLR) completed the KOOS and Short Form 36 Health Survey (SF-36). We evaluated floor/ceiling effects, reliability (using Cronbach’s alpha, intraclass correlation coefficients (ICC) and measurement error), convergent and divergent construct validity (using four a priori stated hypotheses) and responsiveness (using data obtained prior to and one year after ACLR and described by both effect size (ES) and standardized response mean (SRM)).
The clinical study population consisted of 72 subjects (mean age 29.8, 28% women). We did not observe floor effects in any KOOS subscales neither pre- nor postoperatively. As expected, ceiling effects were found postoperatively for the subscales Pain and ADL in this cohort assessed on average 1.3 year after surgery as more than 15% reported no pain or limitations in daily activities. The Cronbach’s alpha was above 0.9 for all subscales indicating excellent internal consistency. The test-retest reliability of all KOOS subscales at one-year postoperatively was excellent with ICCs exceeding 0.86 for all subscales. The minimal detectable change on group level ranged from 1.3 to 2.4, and on an individual level from 10.9 to 20.2. Responsiveness was demonstrated since the expected pattern of effect sizes between subscales following ACLR was found.
We found the Polish version of the KOOS to be a valid and reliable instrument for use in patient groups having ACLR. We caution against monitoring individual patients since the smallest change considered clinically relevant cannot reliably be detected.
KeywordsKnee injury and Osteoarthritis Outcome Score Patient-reported outcome Validation study Psychometrics Anterior cruciate ligament Orthopedic surgery
Functional disability and quality of life are the key outcomes that influence patients’ compliance and satisfaction with treatment . It has already been well-established that both functional status and quality of life can be better described by patients themselves than on the basis of clinical examination made by a physician [2, 3]. Patient-reported outcomes (PROs) are thus necessary for clinical research purposes across countries and cultures. The measurement instrument should be standardized, sensitive to clinical change, concise, and convenient for both the patients evaluated and clinicians . To enable data collection from patients speaking different languages and living in different cultures, questionnaires should undergo linguistic and cross-cultural translation processes and psychometric properties should be assessed in clinical validation studies .
The Knee injury and Osteoarthritis Outcome Score (KOOS) [6, 7] is such a commonly used PRO, originally developed simultaneously in English and Swedish and currently available in 39 different languages . The KOOS has already been validated for use in the United States , Sweden , Singapore , Iran , France , the Netherlands , Portugal , and Japan . KOOS was developed to assess difficulties experienced by patients with joint injuries and knee OA and is commonly used to evaluate the effect of orthopedic surgery including Anterior Cruciate Ligament Reconstruction (ACLR) [6, 7].
Until now there were no internationally established and formally cross-culturally adapted PROs that could be used for assessment of functional status and quality of life following knee surgery in Poland.
The aim of this study was therefore to first linguistically and cross-culturally translate and second to test the psychometric properties of the Polish version of the KOOS questionnaire as expressed by reliability, validity and responsiveness, in a cohort of patients having had ACLR.
Linguistic and cross-cultural translation process
The process followed the recommendations by Beaton et al. . The KOOS was simultaneously developed in English and Swedish (two original languages). A total of five persons were involved in the translational process. Two independent forward translations (T1, T2) were performed from the English version by an orthopaedic surgeon, fluent in English with Polish origin, and a professional language translator. One independent translation (T3) was performed from the Swedish version by a medical professional fluent in Swedish with Polish origin. The three versions were then unified in a consensus meeting. Two native English-speaking persons of Polish origin (BT1 and BT2), with medical and technical professions respectively, backwards translated independently this new version into English. Both translators were unfamiliar with the original questionnaire and its concept. During the expert meeting in which all translators participated all versions of the KOOS questionnaires were combined and consensus on semantic, idiomatic, experiential and conceptual equivalence was reached resulting in a pre-final version of the questionnaire. This version was pre-tested on 10 patients with ACL injury (six men and four women with a mean and median age of 34 years, range 20–54) prior to ACLR. The patients were asked whether they fully understood the items, if they found any items ambiguous and whether they had any problems in answering the items. The Polish version of the KOOS is available free of charge from http://www.koos.nu .
Clinical validation study
All patients were native Polish speakers with an intermediate or higher educational level. They were operated and followed up at the Department of Reconstructive Surgery and Arthroscopy of the Knee Joint, Medical University in Łódź between January 2007 and August 2009. The subjects had undergone reconstructive ACL surgery and, in case of combined injury both ACL reconstruction and meniscal resection. The reconstruction was made endoscopically with bone–patellar tendon–bone grafts that were stabilized with titanium interference screws. All patients had undergone standardized moderately accelerated, six months’ rehabilitation program . The mean follow-up time was 1.3 years (0.4–3.4). At time of follow-up all subjects had returned to their normal activities.
Participants were asked to complete the Polish version of KOOS three times: first preoperatively, then during the 1-year routine follow-up and finally for test-retest purposes one till two weeks following the 1-year routine follow-up. Patients filled out the KOOS in the clinic the first two times and at home the third time. Questionnaires were returned by ordinary mail. A one to two weeks test-retest time interval is considered appropriate and previously used for the KOOS [6, 7, 16]. The SF-36  (licence number H1 031207-30347) was administered once at the 1-year postoperative follow-up. The study was approved by the ethics committee at the Medical University of Łódź. An informed written consent was obtained from all subjects participating in the study.
The KOOS is a 42-item self-administered knee-specific questionnaire assessing pain (9 items), symptoms (7 items), activities of daily living (ADL, 17 items), sports and recreation function (5 items) and knee-related quality of life (QOL, 4 items) in five separate subscales. Each item is responded to by marking one of five response options on a Likert scale. A score from 0 (extreme problems) to 100 (no problems at all) is calculated separately for each subscale.
The Short Form 36 (SF-36) Health Survey includes 36 items that are combined in eight subscales: physical functioning (PF), role-physical (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role-emotional (RE) and mental health (MH), and one single-item measure of health transition which is not used in scoring the scales or summary measures. A score from 0 (worst possible health status) to 100 (best possible health status) is independently generated for each subscale. The SF-36 had already been validated in Polish .
Analyses were performed with use of SPSS for Windows 15.0.0 (SPSS, Chicago, IL, USA). We considered a two-tailed P less than 0.05 to be significant.
In accordance with the 2003 Users Guide, for the KOOS questionnaire two missing items were allowed in each subscale. Missing data were then subsequently imputed with the mean of other values within the same subscale . SF-36 results were calculated using standard scoring procedures whereby missing values were replaced by scale means where valid responses were available for at least half of of the scale items .
Floor or ceiling effects were assessed pre- and postoperatively and considered to be present if more than 15% of the respondents achieved the lowest or highest possible scores . Floor and ceiling effect may differ due to when (pre- or postoperatively) the questionnaire is administered. Preoperatively floor effects can be expected since experiencing symptoms is an indication for surgery. Post-operatively, if anything, ceiling effects can be expected if the intervention has been successful and the patient has returned to all normal activities and have no symptoms.
Internal consistency is defined as the degree of the interrelatedness among the items. It was determined by calculating Cronbach’s alpha coefficient. Cronbach’s alpha was determined at the first 1 year follow-up assessment. Cronbach’s alpha value of more than 0.70 was considered as satisfactory .
Reliability is a proportion of the total variance in the measurements due to differences between patients. Test-retest reliability of the KOOS subscales was assessed 1 year postoperatively using the two administrations completed at a one to two week interval. It was assumed that the probability of a spontaneous significant change in clinical status was low during a one to two week interval. The test-retest reliability of the KOOS was analyzed using two-way random effect model of the intra-class correlation coefficient (ICC) for absolute agreement and presented with 95% confidence interval (CI). An ICC equal to or greater than 0.80 was considered acceptable for groups and an ICC of more than 0.90 for individual patient use [20–24].
Measurement error is the systematic and random error of a patient’s score that is not attributed to true change in the construct to be measured. Standard error of measurement (SEM) for absolute agreement was calculated based on the standard deviation (SD) of the sample and the reliability of the measurement instrument according to the following formula: SEM = SD √(1-R) where R represents the reliability parameter (ICC) . Then, in turn, the minimal detectable change (MDC), which is the threshold for determining clinical changes outside measurement error, was calculated on the basis of the SEM of the test–retest reliability using the following formula: MDC = SEM × 1.96 × √2, where 1.96 derives from the 0.95% confidence interval of no change and √2 represents two measurements evaluating the change [23, 24]. The MDC can be modified for group comparison (for research purposes), depending on the size of the group (n = 72), as follows: MDCgroup = MDCindividual/√n .
The MDC should preferably be smaller than the Minimal Important Change (MIC). MIC is the smallest change score needed for the effect to be considered clinically relevant . Overall, a MIC of 8-10 points was considered to be appropriate for the different KOOS subscales . However, it must be acknowledged that the MIC is dependent on context factors, including patient group, intervention and time to follow-up. Therefore, it is more appropriate to establish the MIC for specific contexts. The MIC for KOOS at 1 year following ACLR has not yet been determined.
Construct validity is defined as the degree to which the subscales of the KOOS measures the characteristic to be measured. Convergent and divergent construct validity was determined by comparing the results of the subscales of KOOS and SF–36 questionnaires representing similar and dissimilar constructs. The Spearman’s rank correlation was used to assess the association between domains. Correlation coefficients greater than 0.5 were considered strong, correlations between 0.35 and 0.5 moderate and less than 0.35 were considered weak . A priori hypotheses had been generated to determine convergent (when moderate or strong correlation is expected) and divergent (weak correlation expected) construct validity. It was hypothesized that 1) KOOS ADL should correlate with at least 0.35 with SF–36 PF, 2) KOOS Sports and Recreation Function should correlate with at least 0.35 with SF–36 PF, 3) KOOS Pain should correlate with at least 0.35 with SF–36 BP, and finally that 4) all KOOS subscales should correlate stronger with SF–36 subscales representing Physical Health (PF, RP, BP) than with SF-36 subscales representing Mental Health (GH, VT, SF, RE, MH).
Responsiveness is the ability to detect changes of the construct of interest over time. Since Global Perceived Effect (GPE) was not assessed postoperatively this approach was not possible. We thus chose to calculate effect size (ES) defined as score change divided by baseline SD  and set up a priori hypotheses regarding the pattern of effect sizes between subscales. Based on the pattern seen at 1 year in the Danish ACLR-registry  it was hypothesized that the subscale QOL would show the largest ES (over 1.0), followed by the subscale Sports and Recreation Function. The subscales Pain, Symptoms and ADL would have lower ES, at least 0.15 below Sport and Recreation Function. By focusing on the expected pattern and not on the absolute values of ES the focus is on the measurement properties of the PRO studied and not on the clinical effect seen from the intervention which is dependent on factors such as patient selection and concomitant injuries. In addition to ES, responsiveness was also presented as standardized response mean (SRM). SRM was calculated by dividing the mean score change with the standard deviation of that score change . The same pattern was expected for SRM:s and the five KOOS subscales.
To compare KOOS scores before ACLR and at follow-up the Wilcoxon signed rank test was used.
Linguistic and cross-cultural translation process
The Polish version of the pre-final KOOS questionnaire was well-accepted in the pre-test. All questions and response options were considered satisfactory and understandable by the subjects. However, in order to improve clarity minor changes were made for two items according to patients’ suggestions. In item A13 the expression “wchodzenie/wychodzenie z wanny/spod prysznica” was considered better corresponding to English phrase “getting in/out of bed” than the previously used phrase “korzystanie z wanny/natrysku”. In item A15 we replace the phrase “korzystanie z toalety” with “siadanie na sedesie/wstawanie z sedesu” that more precisely described “getting on/off toilet”. The revised version of the questionnaire was again assessed as semantically, idiomatically and conceptually equivalent with the original version. The revised version was used in the clinical validation study.
Clinical validation study
Characteristics of included subjects having anterior cruciate ligament reconstruction (ACLR)
N (% women)
Age at surgery, mean (SD) years
Time to follow-up after surgery, mean (SD) years
Tegner score at follow up, median (range)
A subscale score could be calculated for all KOOS subscales at both administrations. At baseline, a total of eight items out of the possible 42 (number of items) × 72 (number of patients) or 0.26% were missing. At follow-up, six KOOS items (0.2%) were missing. For the SF-36 the number of missing items at follow-up were 12 (0.46%).
Preoperatively, there were neither floor nor ceiling effects (determined as >15% having worst or best possible score) in any of the KOOS subscales. Best possible scores were reported by 13%, 11%, 3% and 3% for the subscales ADL, Pain, Symptoms and Sports and Recreation Function, respectively. No subjects reported best possible score in subscale QOL prior to surgery.
At the 1-year follow-up there were no floor effects (indicating worst possible status) in any KOOS subscales. As expected, ceiling effects were found after surgery for the subscales Pain (19%) and ADL (29%). Best possible scores were reported by 13%, 11%, and 3% for the subscales Symptoms, Sports and Recreation Function and QOL, respectively.
Median number of days from test to retest was 7 (range 5-19).
Mean KOOS scores (0 to 100, worst to best scale) at test and retest administrations one week apart, test-retest reliability, internal consistency and minimal detectable change of KOOS subscales for individuals and groups 1.3 year after anterior cruciate ligament reconstruction (ACLR)
KOOS subscales (number of items)
Mean KOOS score (SD)
ICC (95% CI)
Cronbach’s alpha coefficients
Minimal detectable change (95% CI) in individuals
Minimal detectable change (95% CI) in groups
First follow-up assessment
Second follow-up assessment
ACLR, n = 72
87. 7 (13.9)
72.0 (24. 9)
The reliability of all KOOS subscales was excellent (>0.8) with ICCs ranging from 0.86 to 0.93 (Table 2).
Minimal detectable change
At group level, MDC ranged from 1.7 to 2.4. At the individual level the MDC was lowest (10.9) for KOOS ADL and highest (19.9) for KOOS QOL (Table 2).
Construct validity, given as Spearman correlations of the five KOOS subscales and the eight SF-36 subscales in subjects following anterior cruciate ligament reconstruction (ACLR) (n = 72)
Mean KOOS scores (0 to 100, worst to best scale), before anterior cruciate ligament reconstruction (ACLR) and at one-year follow-up (N = 72)
Before ACLR mean (SD)
1yr follow-up mean (SD)
Standardized response mean
The study reports on the linguistic and cross-cultural translation and the psychometric properties of the Polish version of the KOOS in patients having had ACL reconstruction. To improve the quality of the report, cross-cultural translation of the KOOS for use in the Polish language was reported in accordance with the COSMIN checklist for cross-cultural validation [31, 32]. The COSMIN checklist was easy to work with and can be recommended for future reports of cross-cultural translation and validation processes .
The results indicate that the Polish version of KOOS questionnaire is a reliable, valid and responsive tool for use in groups of patients having ACL reconstruction.
In this study Cronbach’s alphas ranged from 0.92 to 0.97 indicating very high internal consistency. These values are higher than in previous KOOS validation studies [6, 9, 11–13]. One possible explanation is the relative homogeneity of the group examined. We evaluated reliability at one year postoperatively when patients likely constitute a more homogenous sample compared to pre-operatively, a time point frequently used by others for assessment of reliability.
We found the test-retest reliability to be excellent with ICCs ranging from 0.86 to 0.93. It revealed satisfactory stability and reliability of all the KOOS subscales over time in examined subjects. The ICCs observed in our study were higher than in previous studies in patients with knee injuries [6, 7] and osteoarthritis [9, 13]. Explanations include test-retest reliability being assessed postoperatively in this sample while others commonly use preoperative samples. ICCs comparable to ours were observed by de Groot et al. in validation of the Dutch version of the KOOS in patients with different stages of osteoarthritis (OA) . They found that the highest ICCs occurred in subjects with moderate OA. Since the patients with mild OA as well as those after revision total knee replacement had lower ICCs, especially in the KOOS subscale Sports and Recreation Function, they suggested that the questions about sport were less relevant in these groups. Such a phenomenon was not observed in our study.
The excellent test-retest reliability translated into smallest detectable changes of 3 points or less for the different subscales. Being able to detect a difference of 3 points indicates that the currently suggested minimal clinically important change of KOOS of 8-10  is well detectable in groups examined. However on an individual level, greater changes are needed (10.9 to 20.2) for the different subscales to be reliably detected. This means that despite excellent reliability the KOOS is better used for monitoring groups of subjects.
We confirmed content validity at the pre-test evaluation in that the original questionnaire items were relevant for young active individuals undergoing ACLR in Poland. Considering the large number of KOOS translations available in countries with a similar cultural context, we did not ask patients to add items to the existing questionnaire. The construct validity of the KOOS questionnaire was determined by setting up a priori hypotheses and comparing the KOOS subscales with the subscales of the SF–36. We compared the correlations between respective subscales measuring similar or dissimilar constructs. As hypothesized, the highest correlations were observed between SF–36 subscales and KOOS subscales measuring similar constructs while low correlations were seen when comparing subscales measuring dissimilar constructs. Correlation coefficients were comparable to those previously seen by Roos et al.  and Goncalves et al. .
The results of the responsiveness assessment confirmed that KOOS is able to detect clinical improvement in subjects undergoing ACLR. Further we confirmed the a priori set hypotheses including QOL being the most responsive subscale following ACLR. The pattern found was similar to data reported by Lind et al. in a 2-year follow-up study of 5000 patients having had primary ACLR included in the Danish knee ligament reconstruction registry .
There are limitations to be acknowledged. Since psychometric properties of a questionnaire may depend on the characteristics of the patients included, our findings apply to young adults having ACLR only and not necessarily to elderly with OA or those having other interventions. Further validation of the Polish version of the KOOS in patients with other knee complaints including osteoarthritis is therefore advised.
In conclusion, the present study demonstrated the Polish version of the KOOS being a valid, reliable and responsive outcome measure in young patients having ACLR. The KOOS can be applied as a patient-reported and disease-specific instrument in future studies including ACL injured subjects in Poland.
Knee injury and Osteoarthritis Outcome Score
Anterior cruciate ligament reconstruction
Activities of daily living
Quality of life
Short Form 36
Intraclass correlation coefficient
Standard error of measurement
Minimal detection change
Minimal important change
Global perceived effect
Standardized response mean
We would gratefully acknowledge the members of the expert group who contributed in development of the Polish version of the KOOS, Dr. Mirosław Bira from the Department of Orthopedics, Medical University in Łódź for assistance in recruiting study subjects and last but not least the patients who participated in the study. The work was supported by grant no. 503-8145-3 from the Medical University in Łódź, Poland.
- Guillemin F: Functional disability and quality-of-life assessment in clinical practice. Rheumatology (Oxford) 2000,39(Suppl 1):17–23. 10.1093/oxfordjournals.rheumatology.a031489View ArticleGoogle Scholar
- Vander Zee KI, Sanderman R, Heyink J: A comparison of two multidimensional measures of health status: the Nottingham Health Profile and the RAND 36-Item Health Survey 1.0. Qual Life Res 1996, 5: 165–174. 10.1007/BF00435982View ArticleGoogle Scholar
- Spertus JA: Key issues in outcomes research. evolving applications for patient-centered health status measures. Circulation 2008, 118: 2103–2110. 10.1161/CIRCULATIONAHA.107.747568PubMedView ArticleGoogle Scholar
- Pynsent PB: Choosing an outcome measure. J Bone Joint Surg Br 2001, 83: 792–794. 10.1302/0301-620X.83B6.11973PubMedView ArticleGoogle Scholar
- Beaton DE, Bombardier C, Guillemin F, Ferraz MB: Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976) 2000, 25: 3186–3191. 10.1097/00007632-200012150-00014View ArticleGoogle Scholar
- Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD: Knee injury and osteoarthritis outcome score (KOOS) – development of a self–administered outcome measure. J Orthop Sports Phys Ther 1998, 28: 88–96.PubMedView ArticleGoogle Scholar
- Roos EM, Roos HP, Ekdahl C, Lohmander LS: Knee injury and Osteoarthritis Outcome Score (KOOS) – validation of a Swedish version. Scand J Med Sci Sports 1998, 8: 439–448.PubMedView ArticleGoogle Scholar
- Knee injury and Osteoarthritis Outcome Score http://www.koos.nu/index.html
- Xie F, Li SC, Roos EM, Fong KY, Lo NN, Yeo SJ, Yang KY, Yeo W, Chong HC, Thumboo J: Crosscultural adaptation and validation of Singapore English and Chinese versions of the Knee injury and Osteoarthritis Outcome Score (KOOS) in Asians with knee osteoarthritis in Singapore. Osteoarthritis Cartilage 2006, 14: 1098–1103. 10.1016/j.joca.2006.05.005PubMedView ArticleGoogle Scholar
- Salavati M, Mazaheri M, Negahban H, Sohani SM, Ebrahimian MR, Ebrahimi I, Kazemnejad A, Salavati M: Validation of a Persian-version of Knee injury and Osteoarthritis Outcome Score (KOOS) in Iranians with knee injuries. Osteoarthritis Cartilage 2008, 16: 1178–1182. 10.1016/j.joca.2008.03.004PubMedView ArticleGoogle Scholar
- Ornetti P, Parratte S, Gossec L, Tavernier C, Argenson JN, Roos EM, Guillemin F, Maillefert JF: Cross-cultural adaptation and validation of the French version of the Knee injury and Osteoarthritis Outcome Score (KOOS) in knee osteoarthritis patients. Osteoarthritis Cartilage 2008, 16: 423–428. 10.1016/j.joca.2007.08.007PubMedView ArticleGoogle Scholar
- de Groot IB, Favejee MM, Reijman M, Verhaar JAN, Terwee CB: The Dutch version of the Knee injury and Osteoarthritis Outcome Score: a validation study. Health Qual Life Outcomes 2008, 6: 16. 10.1186/1477-7525-6-16PubMed CentralPubMedView ArticleGoogle Scholar
- Goncalves RS, Cabriy J, Pinheirox JP, Ferreirak PL: Crosscultural adaptation and validation of the Portuguese version of the Knee injury and Osteoarthritis Outcome Score (KOOS). Osteoarthritis Cartilage 2009, 17: 1156–1162. 10.1016/j.joca.2009.01.009PubMedView ArticleGoogle Scholar
- Nakamura N, Takeuchi R, Sawaguchi T, Ishikawa H, Saito T, Goldhahn S: Cross-cultural adaptation and validation of the Japanese Knee Injury and Osteoarthritis Outcome Score (KOOS). J Orthop Sci 2011, 16: 516–523. 10.1007/s00776-011-0112-9PubMedView ArticleGoogle Scholar
- Draper V, Ladd C: Subjective evaluation of function following moderately accelerated rehabilitation of anterior cruciate ligament reconstructed knees. J Athl Train 1993, 28: 38–41.PubMed CentralPubMedGoogle Scholar
- Roos EM, Toksvig-Larsen S: Knee injury and Osteoarthritis Outcome Score (KOOS) – validation and comparison to the WOMAC in total knee replacement. Health Qual Life Outcomes 2003, 1: 17. 10.1186/1477-7525-1-17PubMed CentralPubMedView ArticleGoogle Scholar
- Ware JE, Kosinski M, Keller SD: SF-36 physical and mental health summary scales: a user’s manual. Boston: The Health Institute, New England Medical Center; 1994.Google Scholar
- Żołnierczyk-Zreda D: The Polish version of the SF-36v2 questionnaire for the quality of life assessment (article in Polish). Przegl Lek 2010, 67: 1302–1307.PubMedGoogle Scholar
- McHorney CA, Tarlov AR: Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res 1995, 4: 293–307. 10.1007/BF01593882PubMedView ArticleGoogle Scholar
- Nunnally JC, Bernstein IR: Psychometric Theory. 3rd edition. New York: McGraw-Hill; 1994.Google Scholar
- Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977, 33: 159–174. 10.2307/2529310PubMedView ArticleGoogle Scholar
- Terwee CB, Dekker FW, Wiersinga WM, Prummel MF, Bossuyt PM: On assessing responsiveness of health-related quality of life instruments: guidelines for instrument evaluation. Qual Life Res 2003, 12: 349–362. 10.1023/A:1023499322593PubMedView ArticleGoogle Scholar
- Atkinson G, Nevill AM: Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998, 26: 217–238. 10.2165/00007256-199826040-00002PubMedView ArticleGoogle Scholar
- de Vet HC, Bouter LM, Bezemer PD, Beurskens AJ: Reproducibility and responsiveness of evaluative outcome measures. Theoretical considerations illustrated by an empirical example. Int J Technol Assess Health Care 2001, 17: 479–487.PubMedView ArticleGoogle Scholar
- de Vet HC, Ostelo RW, Terwee CB, van der Roer N, Knol DL, Beckerman H, Boers M, Bouter LM: Minimally important change developed by a visual method integrating an anchor-based and a distribution-based approach. Qual Life Res 2007, 16: 131–142. 10.1007/s11136-006-9109-9PubMed CentralPubMedView ArticleGoogle Scholar
- Roos EM, Lohmander LS: The Knee injury and Osteoarthritis Outcome Score (KOOS): from joint injury to osteoarthritis. Health Qual Life Outcomes 2003, 1: 64. 10.1186/1477-7525-1-64PubMed CentralPubMedView ArticleGoogle Scholar
- Juniper EF, Guyatt GH, Jaeschke R: How to develop and validate a new health-related quality of life instrument. In Quality of Life and Pharmacoeconomics in Clinical Trials. Edited by: Spilker B. Philadelphia: Lippincott-Raven; 1996.Google Scholar
- Kazis LE, Anderson JJ, Meenan RF: Effect sizes for interpreting changes in health status. Med Care 1989,27(3 Suppl):S178-S189.PubMedView ArticleGoogle Scholar
- Lind M, Menhert F, Pedersen AB: The first results from the Danish ACL reconstruction registry: epidemiologic and 2 year follow-up results from 5,818 knee ligament reconstructions. Knee Surg Sports Traumatol Arthrosc 2009, 17: 117–124. 10.1007/s00167-008-0654-3PubMedView ArticleGoogle Scholar
- Deyo RA, Diehr P, Patrick DL: Reproducibility and responsiveness of health status measures. Statistics and strategies for evaluation. Control Clin Trials 1991, 12: 142S-158S. 10.1016/S0197-2456(05)80019-4PubMedView ArticleGoogle Scholar
- Consensus-based standards for the selection of health measurement instruments http://www.cosmin.nl/index.php
- Mokkink LB, Terwee CB, Knol DL, Stratford PW, Alonso J, Patrick DL, Bouter LM, de Vet HC: The COSMIN checklist for evaluating the methodological quality of studies on measurement properties: a clarification of its content. BMC Med Res Methodol 2010, 10: 22. 10.1186/1471-2288-10-22PubMed CentralPubMedView ArticleGoogle Scholar
- Angst F: The new COSMIN guidelines confront traditional concepts of responsiveness. BMC Med Res Methodol 2011, 11: 152. 10.1186/1471-2288-11-152PubMed CentralPubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.