What Are the Minimum Clinically Important Differences in SF-36 Scores in Patients with Orthopaedic Oncologic Conditions?

Koichi Ogura, Mohamed A Yakoub, Alexander B Christ, Tomohiro Fujiwara, Zarko Nikolic, Patrick J Boland, John H Healey, Koichi Ogura, Mohamed A Yakoub, Alexander B Christ, Tomohiro Fujiwara, Zarko Nikolic, Patrick J Boland, John H Healey

Abstract

Background: The SF-36 is widely used to evaluate the health-related quality of life of patients with musculoskeletal tumors. The minimum clinically important difference (MCID) is useful for interpreting changes in functional scores because it defines the smallest change each patient may perceive. Since the MCID is influenced by the population characteristics, MCIDs of the SF-36 should be defined to reflect the specific conditions of orthopaedic oncology patients.

Questions/purposes: (1) What is the MCID of SF-36 physical component summary (PCS) and mental component summary (MCS) scores in patients with orthopaedic oncologic conditions when calculated with distribution-based methods? (2) What is the MCID of SF-36 PCS and MCS scores in patients with orthopaedic oncologic conditions when calculated by anchor-based methods?

Methods: Of all 960 patients who underwent surgery from 1999 to 2005, 32% (310) of patients who underwent musculoskeletal oncologic surgery and completed two surveys during postoperative follow-up were reviewed. We evaluated a dataset that ended in 2005, completing follow-up of data accrued as part of the cooperative effort between the American Academy of Orthopaedic Surgeons and the Council of Musculoskeletal Specialty Societies to create patient reported quality of life instruments for lower extremity conditions. This effort, started in 1994 was validated and widely accepted by its publication in 2004. We believe the findings from this period are still relevant today because (1) this critical information has never been available for clinicians and researchers to distinguish real differences in outcome among orthopaedic oncology patients, (2) the SF-36 continues to be the best validated and widely used instrument to assess health-related quality of life, and unfortunately (3) there has been no significant change in outcome for oncology patients over the intervening years. SF-36 PCS and MCS are aggregates of the eight scale scores specific to physical and mental dimension (scores range from 0 to 100, with higher scores representing better health). Their responsiveness has been shown postoperatively for several surgical procedures (such as, colorectal surgery). Two different methods were used to calculate the MCID: the distribution-based method, which was based on half the SD of the change in score and standard error of the measurement at baseline, and anchor-based, in which a receiver operating characteristic (ROC) curve analysis was performed. The anchor-based method uses a plain-language question to ask patients how their individual conditions changed when compared with the previous survey. Answer choices were "much better," "somewhat better," "about the same," "somewhat worse," or "much worse." The ROC curve-derived MCIDs were defined as the change in scores from baseline, with sensitivity and specificity to detect differences in patients who stated their outcome was, about the same and those who stated their status was somewhat better or somewhat worse. This approach is based on each patient's perception. It considers that the definition of MCID is the minimal difference each patient can perceive as meaningful.

Results: Using the distribution-based method, we found that the MCIDs of the PCS and MCS were 5 and 5 by half the SD, and 6 and 5 by standard error of the measurement. In the anchor-based method, the MCIDs of the PCS and MCS for improvement/deterioration were 4 (area under the curve, 0.82)/-2 (area under the curve, 0.79) and 4 (area under the curve, 0.72)/ (area under the curve, 0.68), respectively.

Conclusions: Since both anchor-based and distribution-based MCID estimates of the SF-36 in patients with musculoskeletal tumors were so similar, we have confidence in the estimates we made, which were about 5 points for both the PCS and the MCS subscales of the SF-36. This suggests that interventions improving SF-36 by less than that amount are unlikely to be perceived by patients as clinically important. Therefore, those interventions may not justify exposing patients to risk, cost, or inconvenience. When applying new interventions to orthopaedic oncology patients going forward, it will be important to consider these MCIDs for evaluation purposes.

Level of evidence: Level III, diagnostic study.

Conflict of interest statement

Each author certifies that neither he, nor any member of his immediate family, has funding or commercial associations (consultancies, stock ownership, equity interest, patent/licensing arrangements, etc) that might pose a conflict of interest in connection with the submitted article.

All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request.

Figures

Fig. 1
Fig. 1
This STROBE flow diagram shows how patients were identified to be eligible for analysis.
Fig. 2 A-B
Fig. 2 A-B
These box-and-whisker plots demonstrate the relationship between change in the SF-36 (A) PCS and (B) MCS scores and answers to the anchor question.
Fig. 3 A-B
Fig. 3 A-B
These receiver operating characteristic curve plots the true-positive rate (sensitivity) against the false-positive rate (1: specificity) for the SF-36 PCS (blue line) and MCS (red line) (A) for improvement and (B) deterioration.

References

    1. Akiyama T, Uehara K, Ogura K, Shinoda Y, Iwata S, Saita K, Tanzawa Y, Nakatani F, Yonemoto T, Kawano H, Davis AM, Kawai A. Cross-cultural adaptation and validation of the Japanese version of the Toronto Extremity Salvage Score (TESS) for patients with malignant musculoskeletal tumors in the upper extremities. J Orthop Sci. 2017;22:127-132.
    1. Anagnostopoulos F, Niakas D, Pappa E. Construct validation of the Greek SF-36 Health Survey. Qual Life Res. 2005;14:1959-1965.
    1. Antonescu I, Carli F, Mayo NE, Feldman LS. Validation of the SF-36 as a measure of postoperative recovery after colorectal surgery. Surg Endosc. 2014;28:3168-3178.
    1. Auffinger BM, Lall RR, Dahdaleh NS, Wong AP, Lam SK, Koski T, Fessler RG, Smith ZA. Measuring surgical outcomes in cervical spondylotic myelopathy patients undergoing anterior cervical discectomy and fusion: assessment of minimum clinically important difference. PLoS One. 2013;8:e67408.
    1. Badhiwala JH, Witiw CD, Nassiri F, Akbar MA, Jaja B, Wilson JR, Fehlings MG. Minimum Clinically Important Difference in SF-36 Scores for Use in Degenerative Cervical Myelopathy. Spine (Phila Pa 1976). 2018;43:E1260-e1266.
    1. Bekkering WP, van Egmond-van Dam JC, Bramer JAM, Beishuizen A, Fiocco M, Dijkstra PDS. Quality of life after bone sarcoma surgery around the knee: A long-term follow-up study. Eur J Cancer Care (Engl). 2017;26.
    1. Berliner JL, Brodke DJ, Chan V, SooHoo NF, Bozic KJ. Can Preoperative Patient-reported Outcome Measures Be Used to Predict Meaningful Improvement in Function After TKA? Clin Orthop Relat Res. 2017;475:149-157.
    1. Brazier JE, Harper R, Jones NM, O'Cathain A, Thomas KJ, Usherwood T, Westlake L. Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ. 1992;305:160-164.
    1. Brigden A, Parslow RM, Gaunt D, Collin SM, Jones A, Crawley E. Defining the minimally clinically important difference of the SF-36 physical function subscale for paediatric CFS/ME: triangulation using three different methods. Health Qual Life Outcomes. 2018;16:202.
    1. Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, Ader D, Fries JF, Bruce B, Rose M. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care. 2007;45:S3-s11.
    1. Coens C, van der Graaf WT, Blay JY, Chawla SP, Judson I, Sanfilippo R, Manson SC, Hodge RA, Marreaud S, Prins JB, Lugowska I, Litiere S, Bottomley A. Health-related quality-of-life results from PALETTE: A randomized, double-blind, phase 3 trial of pazopanib versus placebo in patients with soft tissue sarcoma whose disease has progressed during or after prior chemotherapy-a European Organization for research and treatment of cancer soft tissue and bone sarcoma group global network study (EORTC 62072). Cancer. 2015;121:2933-2941.
    1. Copay AG, Glassman SD, Subach BR, Berven S, Schuler TC, Carreon LY. Minimum clinically important difference in lumbar spine surgery patients: a choice of methods using the Oswestry Disability Index, Medical Outcomes Study questionnaire Short Form 36, and pain scales. Spine J. 2008;8:968-974.
    1. Crosby RD, Kolotkin RL, Williams GR. Defining clinically meaningful change in health-related quality of life. J Clin Epidemiol. 2003;56:395-407.
    1. Daltroy LH, Liang MH, Fossel AH, Goldberg MJ. The POSNA pediatric musculoskeletal functional health questionnaire: report on reliability, validity, and sensitivity to change. Pediatric Outcomes Instrument Development Group. Pediatric Orthopaedic Society of North America. J Pediatr Orthop. 1998;18:561-571.
    1. Davis AM, O'Sullivan B, Bell RS, Turcotte R, Catton CN, Wunder JS, Chabot P, Hammond A, Benk V, Isler M, Freeman C, Goddard K, Bezjak A, Kandel RA, Sadura A, Day A, James K, Tu D, Pater J, Zee B. Function and health status outcomes in a randomized trial comparing preoperative and postoperative radiotherapy in extremity soft tissue sarcoma. J Clin Oncol. 2002;20:4472-4477.
    1. Davis AM, Wright JG, Williams JI, Bombardier C, Griffin A, Bell RS. Development of a measure of physical function for patients with bone and soft tissue sarcoma. Qual Life Res. 1996;5:508-516.
    1. Enneking WF, Dunham W, Gebhardt MC, Malawar M, Pritchard DJ. A system for the functional evaluation of reconstructive procedures after surgical treatment of tumors of the musculoskeletal system. Clin Orthop Relat Res. 1993:241-246.
    1. Garcia SF, Cella D, Clauser SB, Flynn KE, Lad T, Lai JS, Reeve BB, Smith AW, Stone AA, Weinfurt K. Standardizing patient-reported outcomes assessment in cancer clinical trials: a patient-reported outcomes measurement information system initiative. J Clin Oncol. 2007;25:5106-5112.
    1. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29-36.
    1. Holzer LA, Huyer N, Friesenbichler J, Leithner A. Body image, self-esteem, and quality of life in patients with primary malignant bone tumors. Arch Orthop Trauma Surg. 2020;140:1-10.
    1. Hudgens S, Forsythe A, Kontoudis I, D'Adamo D, Bird A, Gelderblom H. Evaluation of Quality of Life at Progression in Patients with Soft Tissue Sarcoma. Sarcoma. 2017;2017:2372135.
    1. Iwata S, Uehara K, Ogura K, Akiyama T, Shinoda Y, Yonemoto T, Kawai A. Reliability and Validity of a Japanese-language and Culturally Adapted Version of the Musculoskeletal Tumor Society Scoring System for the Lower Extremity. Clin Orthop Relat Res.2016;474:2044-2052.
    1. Johanson NA, Liang MH, Daltroy L, Rudicel S, Richmond J. American Academy of Orthopaedic Surgeons lower limb outcomes assessment instruments. Reliability, validity, and sensitivity to change. J Bone Joint Surg Am. 2004;86:902-909.
    1. Kager L, Tamamyan G, Bielack S. Novel insights and therapeutic interventions for pediatric osteosarcoma. Future Oncol. 2017;13:357-368.
    1. Kosinski M, Zhao SZ, Dedhiya S, Osterhaus JT, Ware JE., Jr Determining minimally important changes in generic and disease-specific health-related quality of life questionnaires in clinical trials of rheumatoid arthritis. Arthritis Rheum. 2000;43:1478-1487.
    1. Lemieux J, Brundage MD, Parulekar WR, Goss PE, Ingle JN, Pritchard KI, Celano P, Muss H, Gralow J, Strasser-Weippl K, Whelan K, Tu D, Whelan TJ. Quality of Life From Canadian Cancer Trials Group MA.17R: A Randomized Trial of Extending Adjuvant Letrozole to 10 Years. J Clin Oncol. 2018;36:563-571.
    1. Leopold SS. Editorial: Importance of Validating the Scores We Use to Assess Patients with Musculoskeletal Tumors. Clin Orthop Relat Res. 2019;477:669-671.
    1. Leopold SS, Porcher R. Editorial: The Minimum Clinically Important Difference-The Least We Can Do. Clin Orthop Relat Res. 2017;475:929-932.
    1. Mangione CM, Goldman L, Orav EJ, Marcantonio ER, Pedan A, Ludwig LE, Donaldson MC, Sugarbaker DJ, Poss R, Lee TH. Health-related quality of life after elective surgery: measurement of longitudinal changes. J Gen Intern Med. 1997;12:686-697.
    1. Norman GR, Sloan JA, Wyrwich KW. Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med Care. 2003;41:582-592.
    1. Ogura K, Uehara K, Akiyama T, Iwata S, Shinoda Y, Kobayashi E, Saita K, Yonemoto T, Kawano H, Chuman H, Davis AM, Kawai A. Cross-cultural adaptation and validation of the Japanese version of the Toronto Extremity Salvage Score (TESS) for patients with malignant musculoskeletal tumors in the lower extremities. J Orthop Sci. 2015;20:1098-1105.
    1. Postma A, Kingma A, De Ruiter JH, Schraffordt Koops H, Veth RP, Goeken LN, Kamps WA. Quality of life in bone tumor patients comparing limb salvage and amputation of the lower extremity. J Surg Oncol. 1992;51:47-51.
    1. Ranft A, Seidel C, Hoffmann C, Paulussen M, Warby AC, van den Berg H, Ladenstein R, Rossig C, Dirksen U, Rosenbaum D, Juergens H. Quality of Survivorship in a Rare Disease: Clinicofunctional Outcome and Physical Activity in an Observational Cohort Study of 618 Long-Term Survivors of Ewing Sarcoma. J Clin Oncol. 2017;35:1704-1712.
    1. Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, Thissen D, Revicki DA, Weiss DJ, Hambleton RK, Liu H, Gershon R, Reise SP, Lai JS, Cella D. Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Med Care. 2007;45:S22-31.
    1. Rivard JD, Puloski SS, Temple WJ, Fyfe A, Kwan M, Schachar N, Kurien E, Lanuke K, Mack LA. Quality of life, functional outcomes, and wound complications in patients with soft tissue sarcomas treated with preoperative chemoradiation: a prospective study. Ann Surg Oncol. 2015;22:2869-2875.
    1. Shikiar R, Willian MK, Okun MM, Thompson CS, Revicki DA. The validity and responsiveness of three quality of life measures in the assessment of psoriasis patients: results of a phase II study. Health Qual Life Outcomes. 2006;4:71.
    1. Terwee CB, Mokkink LB, Knol DL, Ostelo RW, Bouter LM, de Vet HC. Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist. Qual Life Res. 2012;21:651-657.
    1. Uehara K, Ogura K, Akiyama T, Shinoda Y, Iwata S, Kobayashi E, Tanzawa Y, Yonemoto T, Kawano H, Kawai A. Reliability and Validity of the Musculoskeletal Tumor Society Scoring System for the Upper Extremity in Japanese Patients. Clin Orthop Relat Res. 2017;475:2253-2259.
    1. Ward MM, Guthrie LC, Alba MI. Clinically important changes in short form 36 health survey scales for use in rheumatoid arthritis clinical trials: the impact of low responsiveness. Arthritis Care Res (Hoboken). 2014;66:1783-1789.
    1. Ware JE., Jr. SF-36 health survey update. Spine (Phila Pa 1976). 2000;25:3130-3139.
    1. Yuksel S, Ayhan S, Nabiyev V, Domingo-Sabat M, Vila-Casademunt A, Obeid I, Perez-Grueso FS, Acaroglu E. Minimum clinically important difference of the health-related quality of life scales in adult spinal deformity calculated by latent class analysis: is it appropriate to use the same values for surgical and nonsurgical patients? Spine J. 2019;19:71-78.
    1. Zhang Y, Zhou F, Sun Y. Assessment of health-related quality of life using the SF-36 in Chinese cervical spondylotic myelopathy patients after surgery and its consistency with neurological function assessment: a cohort study. Health Qual Life Outcomes. 2015;13:39.

Source: PubMed

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