Literature DB >> 27168175

Patient-reported outcome measures in arthroplasty registries.

Ola Rolfson1, Kate Eresian Chenok2, Eric Bohm3, Anne Lübbeke4, Geke Denissen5, Jennifer Dunn6, Stephen Lyman7, Patricia Franklin8, Michael Dunbar9, Søren Overgaard10, Göran Garellick1, Jill Dawson11.   

Abstract

The International Society of Arthroplasty Registries (ISAR) Steering Committee established the Patient-Reported Outcome Measures (PROMs) Working Group to convene, evaluate, and advise on best practices in the selection, administration, and interpretation of PROMs and to support the adoption and use of PROMs for hip and knee arthroplasty in registries worldwide. The 2 main types of PROMs include generic (general health) PROMs, which provide a measure of general health for any health state, and specific PROMs, which focus on specific symptoms, diseases, organs, body regions, or body functions. The establishment of a PROM instrument requires the fulfillment of methodological standards and rigorous testing to ensure that it is valid, reliable, responsive, and acceptable to the intended population. A survey of the 41 ISAR member registries showed that 8 registries administered a PROMs program that covered all elective hip or knee arthroplasty patients and 6 registries collected PROMs for sample populations; 1 other registry had planned but had not started collection of PROMs. The most common generic instruments used were the EuroQol 5 dimension health outcome survey (EQ-5D) and the Short Form 12 health survey (SF-12) or the similar Veterans RAND 12-item health survey (VR-12). The most common specific PROMs were the Hip disability and Osteoarthritis Outcome Score (HOOS), the Knee injury and Osteoarthritis Outcome Score (KOOS), the Oxford Hip Score (OHS), the Oxford Knee Score (OKS), the Western Ontario and McMaster Universities Arthritis Index (WOMAC), and the University of California at Los Angeles Activity Score (UCLA).

Entities:  

Mesh:

Year:  2016        PMID: 27168175      PMCID: PMC4937773          DOI: 10.1080/17453674.2016.1181815

Source DB:  PubMed          Journal:  Acta Orthop        ISSN: 1745-3674            Impact factor:   3.717


Establishment of Working Group team

In early 2014, the International Society of Arthroplasty Registries (ISAR) Steering Committee established 5 working groups to further enhance the aims of the society: (1) the Bylaws and Future Funding Committee, (2) the Data Quality and Harmonization Group, (3) the Scientific Committee, (4) the Quality Improvement Committee, and (5) the Patient-Reported Outcome Measures (PROMs) Working Group. The composition of the PROMs Working Group members was balanced to cover different continents, registry affiliations, and professions. This report reviews the rationale and features of PROMs for use in arthroplasty registries, and describes the results of a survey of arthroplasty registries about their current use of PROMs for hip and knee arthroplasty.

Rationale of work

There are currently several large regional or national programs that collect and monitor PROMs before and after arthroplasty surgery (Department of Health 2008, Rolfson et al. 2011a, 2011b, Franklin et al. 2012). These PROMs complement traditional outcomes data such as complications, adverse events, reoperations, and revisions. Although primary outcomes after joint replacement include pain relief and improved function, clinician-based tests may be biased and may not be valid to describe patient self-perceptions of health status. Despite having limitations, PROMs are the best tools available to measure patient-centered outcomes objectively. The greater emphasis on PROMs in routine care during the last few years has been stimulated by the introduction of the concept of value-based healthcare, in which decisions about the best ways to deliver healthcare should be based on factors that add value for the patient (Porter 2010). Traditional measures are necessary, but PROMs are fundamental in understanding and evaluating healthcare from a value-based standpoint. Although revision surgery and major adverse events are rare complications, improvements are necessary because 10% to 20% of patients who have hip or knee replacement are dissatisfied with the outcome, mainly because of persistent pain and limited function (Rolfson et al. 2011a, Dunbar et al. 2013).

Mission and aim

The ISAR PROMs Working Group is an international panel of collaborators that was organized to convene, evaluate, and advise on best practices in the selection, administration, and interpretation of PROMs and to support the adoption and use of PROMs in hip and knee arthroplasty registries worldwide. Specific aims include advising about (1) which PROMs are best and most appropriate to use, (2) when to capture PROMs in relation to treatment, (3) data collection methods, (4) approach to analysis, and (5) optimal ways to present results. The Working Group also aims to (1) promote harmonization, to allow direct comparisons within and between centers over time, (2) avoid excessive complexity, and (3) ensure that standards are guided by research agendas and not by the special interests of companies or other funders of healthcare.

Definitions

Patient-reported outcomes and patient-reported outcome measures

A patient-reported outcome is defined as any report of a patient’s health status that comes directly from the patient without interpretation by others. The PROMs are standardized instruments designed to measure specific phenomena or constructs of the health status of patients in defined populations (U.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research et al. 2006). The term outcome may cause confusion because it implies a measurement that occurs only after an intervention. By definition, true outcomes involve the measurement of change and typically require repeated measures before—and/or at intervals after—interventions or during the disease course. Therefore, cross-sectional patient-reported measurements after treatment do not generate true outcomes.

Generic and specific patient-reported outcome measures

There are 2 main types of PROMs that are distinguished by different levels of focus. Generic (or general health) instruments are designed to provide a measure of general health for any health state, regardless of the presence or absence of illness, disability, or specific symptoms. Generic PROMs describe a patient’s global health status that is comparable across different conditions. Specific PROMs focus on specific symptoms, diseases, organs, body regions, or body functions. The specific PROMs may also be specifically designed to measure the effect of a specific intervention or treatment.

Methodological standards for the establishment of patient-reported outcome measures instruments

The establishment of a PROMs instrument requires the fulfillment of a set of methodological standards. The involvement of patients with methods such as interviews or focus groups to generate item content is important to ensure that the instrument will reflect the patient’s standpoint and have valid content (U.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research et al. 2006). The instrument must be tested rigorously to ensure that it is valid, reliable, responsive, and acceptable to the intended population. These properties are not fixed properties of an instrument but may relate to the population, the condition, or the treatment studied. The timing of questionnaire completions relative to the date of intervention may also affect the instrument’s measurement properties. After the content of a PROMs instrument has been established by the developers, none of the wording in the PROM may be changed, including word or item order. In addition to copyright issues, small changes in wording may change the perceived meaning of the items, and this may affect the measurement properties (Wild et al. 2005, Rothman et al. 2009).

Validity

Validity is the ability of an instrument to measure the intended outcome. A valid instrument adequately captures particular aspects of a person’s health such as pain, mobility, or social functioning. Validity is an indication of the extent to which an assessment measures a particular construct in a particular situation, and a measure may be valid for one purpose but not another. The different types of validity include content validity, which is the extent to which an instrument measures the intended concept. Content validity is specific to the population and treatment of interest. Content validity must be established before other measurement properties are evaluated, because other types of validity or reliability cannot overcome problems in content validity. Evidence to support content validity comes from qualitative studies that determine whether the items and domains of an instrument are appropriate and comprehensive relative to the intended measurement concept, population, and application. For PROMs, items and domains should reflect concerns of importance to most patients in the study. Content validity can be increased with (1) patient input in item generation, and (2) evaluation of patient understanding through cognitive interviews and pre-tests. Criterion validity compares an instrument’s measurement properties to a known standardized measure of the same construct, but such a measure may not exist. Construct validity is the extent to which an instrument forms pre-specified logical relations such as correlations between items or domains, and correlations to other established instruments or characteristics of patients or patient groups.

Reliability

Reliability has 2 elements: internal consistency and repeatability (also known as reproducibility). Internal consistency is the correlation between different items within a domain, and is a measure of the extent to which these items measure the concept of interest. Internal consistency is measured with Cronbach’s alpha, a summary correlation; a high Cronbach alpha may indicate redundancy, and a low Cronbach alpha (< 0.70) may indicate inconsistency. However, the optimal correlation as expressed with Cronbach’s alpha may be difficult to define. Repeatability (also known as test-retest reliability) is the stability of a measure over time. Repeatability is a measure of the random variability in a patient’s responses to the same item when repeated measures are assessed under the same conditions and no real change has occurred. Repeatability can be evaluated with different statistical tests and is considered acceptable when the intraclass correlation coefficient is >0.70.

Responsiveness

Responsiveness is defined as an instrument’s ability to detect change when change has occurred. Adequate responsiveness is important for an instrument that is used to assess clinical changes. When a patient reports that a change has occurred, but the PROMs instrument score does not change, then the instrument may have inadequate ability to detect change or questionable validity. Assessments of responsiveness of a measure require repeated assessments over time when the patient’s condition of interest has changed. Condition- or context-specific measures are more responsive to changes in the condition of interest than generic measures, which may respond to other co-existing conditions increasingly with time. In addition to showing that an instrument may detect change, it is useful to have an estimate of the minimal change of a measure, which is the smallest change that indicates that an important or meaningful change has occurred. An estimate of minimal change is needed to determine the real clinical or subjective meaning of any observed changes, whether or not the changes are statistically significant. Statistical significance depends, in part, on sample size. A small, clinically irrelevant, change may be statistically significant when the sample size is large. A large clinically relevant change may not be statistically significant in a small study (Petersen 2001). Minimal change can be estimated as either the smallest amount of change that is of relevance to patients (minimal clinically important difference (MCID)) or the amount of change that is beyond simple measurement error (minimal detectable change (MDC)). The MCID is termed anchor-based, as it uses anchor questions to establish minimal change, and the MDC is distribution-based, i.e. based on statistical characteristics of the sample at issue. The MCID and MDC produce different estimates, but it is important that an estimate of minimal change that is produced using an anchor is larger than the measurement error of the instrument to confirm that the change is real (Jaeschke et al. 1989, Wyrwich et al. 1999).

Acceptability and feasibility

To optimize an instrument’s properties, it is important to consider the burden to respondents and healthcare personnel in completing and administering questionnaires. Shorter measures that are written in clear, unambiguous language will encourage a higher frequency of response, which is often used as supporting evidence of the acceptability of a questionnaire.

Translations and cultural differences in response patterns

The translation of a validated PROMs instrument into different languages requires a formal methodological approach and specific expertise (Wild et al. 2005). Such methods typically include consideration and testing of cultural equivalence, especially when there is no exact word or concept available in the target language or culture to match the word or concept that is used in the primary-language version of the measure being translated. Several steps are involved in the process of translating a PROMs instrument into another language, such as forward translation, reconciliation, back translation, harmonization, review, and cognitive debriefing (Wild et al. 2005). The use of a PROMs instrument with different platforms, such as electronic (ePRO/ePROM) and hard-copy versions, may not be straightforward and may require changes in format or minor word changes, including instructions for completion. Recommendations for best practice are available for modification of the platform, including how much change in wording is considered minor (Coons et al. 2009, Rothman et al. 2009). The quality may vary between different translated or electronic versions of a PROMs instrument. When a translated version of a PROMs instrument is required for a specific language, it is therefore important to confirm that proper methods have been used and that the license holder supports a particular translated version. Caution is recommended in developing or adopting specific versions of ePROMs.

Other patient-reported measures related to health outcomes

Satisfaction and similar measures: In addition to measures that directly address health status, there are useful patient-reported measures related to health outcomes such as measures of satisfaction with treatment effects, fulfillment of expectations, and willingness to repeat or recommend treatment to others. These interrelated measures are not true PROMs, by definition, and can be used only after an intervention or to evaluate something that has already occurred. Nevertheless, satisfaction and similar measures are associated with changes in PROMs scores and the patient’s experience of care delivery. When true PROMs have inherent limitations that fail to determine treatment success, satisfaction items may be useful adjuncts. Health transition: Health transition items are another category of patient-reported measures that address a self-perceived change over a defined period for a given construct. Health transitions can be used only retrospectively. Health transition items are often used in conjunction with health status measures, and may be incorporated into questions within a PROMs instrument, such as the Veterans RAND 12-item health survey (VR-12) question: “Compared to 1 year ago, how would you rate your physical health in general now?”, which has 5 response options ranging from “much better” to “much worse”. However, scores of health transition items are usually not incorporated into the overall PROMs score. As indicators of clinically important improvement or deterioration, transition items are commonly used to anchor changes in a particular scale. Response bias may occur from difficulty in recalling previous states and the tendency to accommodate, or due to changes in an individual regarding internal standards, values, or conceptualization—which is also known as response shift.

Survey of collection of patient-reported outcome measures in arthroplasty registries

An e-mail survey was administered in September 2014 to full ISAR member registries (n = 12) and associate ISAR member registries (n = 29) to determine the current use of PROMs in arthroplasty registries. 8 registries administered a PROMs program that covered all elective hip or knee arthroplasty patients and 6 other registries collected PROMs for sample populations; 1 other registry had planned but had not started collection of PROMs (Table). The registries most often collected PROMs for research (n = 10), quality assurance (n = 8), or hospital assessment (n = 8). Some programs integrated their PROMs program in the clinic to provide input to caregivers for the care of individual patients (n = 6). Some registries used PROMs programs for assessment of surgeons (n = 4) and health regions (n = 4). Survey responses of hip and knee arthroplasty registries that routinely collected patient-reported outcome measures n = 15 registries (7 national registries, 2 national samples, and 6 local or regional registries). The survey was performed in September 2014. A R: Arthroplasty Register/Registry, J R: Joint (Replacement) Register The New Zealand Joint Registry and the Dutch Arthroplasty Register were the only 2 registries that included shoulder, elbow, and ankle joint arthroplasty. Patients included: all, all patients in a country, region or hospital; sample, sample of patients in a country, region, or hospital. Not started; the American Joint Replacement Register were planning but had not started a PROMs program as of September 2014. SF-12 or the similar Veterans RAND 12-item health survey (VR-12). As preferred by healthcare provider. Not Known EQ-5D, EuroQol 5-dimension health outcome survey; FORCE-TJR, Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement; NA, not applicable, NHS, National Health Service, England; HOOS, Hip disability and Osteoarthritis Outcome Score; KOOS, Knee injury and Osteoarthritis Outcome Score; NRS, numeric rating scale; OHS, Oxford Hip Score; OKS, Oxford Knee Score; SF-12 (or 36), Short Form 12 (or 36) health survey; PROMs, patient-reported outcome measures; UCLA, University of California at Los Angeles Activity Score; VAS, Visual Analog Scale; WOMAC, Western Ontario and McMaster Universities Arthritis Index. Different instruments were used by different registries (Table). The most common generic instruments were the EuroQol 5-dimension health outcome survey (EQ-5D) (EuroQol Group 1990, EuroQol Group 2015) and the Short Form 12 health survey (SF-12) or the VR-12, which is similar (Ware et al. 1992, Ware et al. 1996, Kosinski et al. 1999, Rolfson et al. 2011b, Boston University School of Public Health 2015, Optum Inc. 2015). 9 registries (60%) collected a satisfaction item. The most common specific PROMs were the Hip disability and Osteoarthritis Outcome Score (HOOS) (Nilsdotter et al. 2003), the Knee injury and Osteoarthritis Outcome Score (KOOS) (Roos et al. 1998), the Oxford Hip Score (OHS) (Dawson et al. 1996, Murray et al. 2007), the Oxford Knee Score (OKS) (Dawson et al. 1998, Murray et al. 2007), the Western Ontario and McMaster Universities Arthritis Index (WOMAC) (Bellamy et al. 1988), and the University of California at Los Angeles Activity Score (UCLA) (Zahiri et al. 1998). Several registries reported use of a separate visual analog scale (VAS) or numeric rating scale (NRS) to measure joint pain (Breivik et al. 2000, Hawker et al. 2011, Hjermstad et al. 2011). Most registries collected preoperative measures and had several follow-ups, most commonly at 1 year after surgery. Preoperative PROMs were usually collected at an outpatient visit or preoperative class. Follow-up surveys were usually collected by regular mail (printed forms), but some registries also used e-mail, electronic (web) surveys, and telephone calls. Response frequencies for PROMs were in some cases approximate estimates and should be interpreted with caution. The variation in frequency of patient responses reflects the logistic challenges of collecting PROMs. The ISAR PROMs Working Group thanks Elly Trepman for help in reorganizing the original ISAR PROMs Working Group internal report into 2 manuscripts. All the authors participated in the conception of the study. OR and JD drafted the manuscript. KC conducted the survey. All the authors were involved in checking and revising the article critically for important intellectual content.
Table 1.

Survey responses of hip and knee arthroplasty registries that routinely collected patient-reported outcome measures

RegistryJoints includedb
Patients includedcPROMs collected
Satisfaction itemFrequency of patient response
Data collection times
Type NameHipKneeGenericSpecificPreop.Postop.Preop.Postop.
National registries
 Swedish Hip A R+AllEQ-5DPain VASYes VAS8690+1, 6, 10 y
 National J R (through NHS)++AllEQ-5DOHS/OKSYes8080+6 mo
 Swedish Knee A R+SampleEQ-5DKOOS, pain VASYes, expectation fulfillment9080+1 y
 New Zealand J Rb++Random 20% sampleOHS/OKSNA70–756 mo, every 5 y
 Lithuanian A R++SampleEQ-5DHOOS/KOOS10060+6 mo, 1 y
(of sample)
 Norwegian A R++Occasional cross-sectional samplesEQ-5DHOOS/KOOSYesNA801 to 2 y
 Dutch A Rb++AllEQ-5D, health transitionOHS/OKS, pain NRSYes5050+3 and 6 mo, 1 y
National sample registries
 FORCE-TJR++AllSF-36HOOS/KOOS, pain VAS80–8580–85+6 mo, annually
 American J R++Not starteddEQ-5D, SF-12 or SF-36e,fWOMAC or HOOS/KOOSfddff
Local or regional registries
 Harris J R++AllEQ-5DPain VAS, HHS/KOOS, UCLAYes VASgg+1, 3, 5, 7, and 10 y
 Register of the Orthopaedic Prosthetic+SampleEQ-5DHOOSYes3080+1 y
 Implants (Italy)–Michigan A R++AllSF-12eWOMAC, UCLA3212+ Annually
 Geneva A R++AllSF-12eWOMAC, Pain VAS, UCLAYes, willingness to repeat7165+1, 5, 10, and 15 y
 Hospital for Special Surgery++AllSF-12eHOOS/KOOSYes8075+Annually
 California J R++AllSF-12eWOMAC, UCLA7070+6 mo, 1 y, every 2 y

n = 15 registries (7 national registries, 2 national samples, and 6 local or regional registries). The survey was performed in September 2014. A R: Arthroplasty Register/Registry, J R: Joint (Replacement) Register

The New Zealand Joint Registry and the Dutch Arthroplasty Register were the only 2 registries that included shoulder, elbow, and ankle joint arthroplasty.

Patients included: all, all patients in a country, region or hospital; sample, sample of patients in a country, region, or hospital.

Not started; the American Joint Replacement Register were planning but had not started a PROMs program as of September 2014.

SF-12 or the similar Veterans RAND 12-item health survey (VR-12).

As preferred by healthcare provider.

Not Known

EQ-5D, EuroQol 5-dimension health outcome survey; FORCE-TJR, Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement; NA, not applicable, NHS, National Health Service, England; HOOS, Hip disability and Osteoarthritis Outcome Score; KOOS, Knee injury and Osteoarthritis Outcome Score; NRS, numeric rating scale; OHS, Oxford Hip Score; OKS, Oxford Knee Score; SF-12 (or 36), Short Form 12 (or 36) health survey; PROMs, patient-reported outcome measures; UCLA, University of California at Los Angeles Activity Score; VAS, Visual Analog Scale; WOMAC, Western Ontario and McMaster Universities Arthritis Index.

  25 in total

1.  What is value in health care?

Authors:  Michael E Porter
Journal:  N Engl J Med       Date:  2010-12-08       Impact factor: 91.245

Review 2.  I can't get no satisfaction after my total knee replacement: rhymes and reasons.

Authors:  M J Dunbar; G Richardson; O Robertsson
Journal:  Bone Joint J       Date:  2013-11       Impact factor: 5.082

3.  The use of the Oxford hip and knee scores.

Authors:  D W Murray; R Fitzpatrick; K Rogers; H Pandit; D J Beard; A J Carr; J Dawson
Journal:  J Bone Joint Surg Br       Date:  2007-08

4.  The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

Authors:  J E Ware; C D Sherbourne
Journal:  Med Care       Date:  1992-06       Impact factor: 2.983

5.  A comparison of pain rating scales by sampling from clinical trial data.

Authors:  E K Breivik; G A Björnsson; E Skovlund
Journal:  Clin J Pain       Date:  2000-03       Impact factor: 3.442

6.  Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes (PRO) Measures: report of the ISPOR Task Force for Translation and Cultural Adaptation.

Authors:  Diane Wild; Alyson Grove; Mona Martin; Sonya Eremenco; Sandra McElroy; Aneesa Verjee-Lorenz; Pennifer Erikson
Journal:  Value Health       Date:  2005 Mar-Apr       Impact factor: 5.725

7.  Assessing activity in joint replacement patients.

Authors:  C A Zahiri; T P Schmalzried; E S Szuszczewicz; H C Amstutz
Journal:  J Arthroplasty       Date:  1998-12       Impact factor: 4.757

Review 8.  Use of existing patient-reported outcome (PRO) instruments and their modification: the ISPOR Good Research Practices for Evaluating and Documenting Content Validity for the Use of Existing Instruments and Their Modification PRO Task Force Report.

Authors:  Margaret Rothman; Laurie Burke; Pennifer Erickson; Nancy Kline Leidy; Donald L Patrick; Charles D Petrie
Journal:  Value Health       Date:  2009-09-25       Impact factor: 5.725

Review 9.  Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP).

Authors:  Gillian A Hawker; Samra Mian; Tetyana Kendzerska; Melissa French
Journal:  Arthritis Care Res (Hoboken)       Date:  2011-11       Impact factor: 4.794

10.  Hip disability and osteoarthritis outcome score (HOOS)--validity and responsiveness in total hip replacement.

Authors:  Anna K Nilsdotter; L Stefan Lohmander; Maria Klässbo; Ewa M Roos
Journal:  BMC Musculoskelet Disord       Date:  2003-05-30       Impact factor: 2.362

View more
  44 in total

1.  Is Parkinson's Disease Associated with Increased Mortality, Poorer Outcomes Scores, and Revision Risk After THA? Findings from the Swedish Hip Arthroplasty Register.

Authors:  Alex Leigh Wojtowicz; Maziar Mohaddes; Daniel Odin; Erik Bülow; Szilard Nemes; Peter Cnudde
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

2.  Economic Considerations of Acute Pain Medicine Programs.

Authors:  Chancellor F Gray; Cameron Smith; Yury Zasimovich; Patrick J Tighe
Journal:  Tech Orthop       Date:  2017-12

3.  Pearls: How to Make the Most of PROMs in Everyday Clinical Practice.

Authors:  Antti Eskelinen
Journal:  Clin Orthop Relat Res       Date:  2019-07       Impact factor: 4.176

4.  Editorial Comment: 7th International Congress of Arthroplasty Registries.

Authors:  Ola Rolfson
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

5.  CORR Insights®: A Crosswalk Between UCLA and Lower Extremity Activity Scales.

Authors:  Daniel P O'Connor
Journal:  Clin Orthop Relat Res       Date:  2016-11-21       Impact factor: 4.176

6.  Editorial Comment: 6th International Congress of Arthroplasty Registries.

Authors:  Ola Rolfson
Journal:  Clin Orthop Relat Res       Date:  2018-06       Impact factor: 4.176

7.  Comparing the validity and responsiveness of the EQ-5D-5L to the Oxford hip and knee scores and SF-12 in osteoarthritis patients 1 year following total joint replacement.

Authors:  Barbara L Conner-Spady; Deborah A Marshall; Eric Bohm; Michael J Dunbar; Tom W Noseworthy
Journal:  Qual Life Res       Date:  2018-02-08       Impact factor: 4.147

8.  Predictive values of WOMAC, KOOS, and SF-12 score for knee arthroplasty: data from the OAI.

Authors:  M Faschingbauer; M Kasparek; P Schadler; A Trubrich; S Urlaub; F Boettner
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-11-11       Impact factor: 4.342

9.  Receipt of Pain Management Information Preoperatively Is Associated With Improved Functional Gain After Elective Total Joint Arthroplasty.

Authors:  Celeste A Lemay; Courtland G Lewis; Jasvinder A Singh; Patricia D Franklin
Journal:  J Arthroplasty       Date:  2017-01-26       Impact factor: 4.757

Review 10.  Measurement properties of the most commonly used Foot- and Ankle-Specific Questionnaires: the FFI, FAOS and FAAM. A systematic review.

Authors:  I N Sierevelt; R Zwiers; W Schats; D Haverkamp; C B Terwee; P A Nolte; G M M J Kerkhoffs
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2017-10-12       Impact factor: 4.342

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.