Top

Gepubliceerd in:

06-07-2022

Mapping PROMIS physical function and pain interference to the modified low back pain disability questionnaire

Auteurs: Nicolas R. Thompson, Brittany R. Lapin, Michael P. Steinmetz, Edward C. Benzel, Irene L. Katzan

Gepubliceerd in: Quality of Life Research | Uitgave 12/2022

Abstract

Purpose

The Modified Low Back Pain Disability Questionnaire (MDQ) is a commonly used tool to assess functioning of patients with low back pain (LBP). Recently, the Patient-Reported Outcomes Measurement Information System (PROMIS) was suggested as an alternative platform to assess LBP patient-reported health. We sought to map between the MDQ and PROMIS Physical Function (PROMIS-PF) and Pain Interference (PROMIS-PI) scales using multiple methods.

Methods

In a retrospective analysis of LBP patients seen at Cleveland Clinic 11/14/18–12/11/19, T-scores from each PROMIS scale were mapped to MDQ total score individually and together. MDQ item and total scores were mapped to each PROMIS scale. Linear regression as well as linear and equipercentile equating were used. Split sample internal validation using root mean squared error (RMSE), mean absolute error (MAE), and correlations were used to assess accuracy of mapping equations.

Results

13585 patients completed the three scales. In the derivation cohort, average age was 59.0 (SD = 15.8); 53.3% female and 82.9% white. Average MDQ total, PROMIS-PF, and PROMIS-PI T-scores were 40.3 (SD = 19.0), 37.2 (SD = 7.6), and 62.9 (SD = 7.2), respectively. For estimating MDQ total scores, methods that used both PROMIS-PF and PROMIS-PI had closest estimated means, lowest RMSE and MAE, and highest correlations. For estimating each of PROMIS-PF and PROMIS-PI T-scores, the best performing method was equipercentile equating using the MDQ items.

Conclusions

We created and internally validated maps between MDQ and PROMIS-PF and PROMIS-PI using linear regression, linear and equipercentile equating. Our equations can be used by researchers wishing to translate scores between these scales.

vorige artikel The minimal important change for the EQ VAS based on the SF-36 health transition item: observations from 25772 spine surgery procedures

volgende artikel Assessing sleep and pain among adults with myalgic encephalomyelitis/chronic fatigue syndrome: psychometric evaluation of the PROMIS® sleep and pain short forms

Alleen toegankelijk voor geautoriseerde gebruikers

Vianin, M. (2008). Psychometric properties and clinical usefulness of the Oswestry disability index. Journal of Chiropractic Medicine, 7(4), 161–163. https://doi.org/10.1016/j.jcm.2008.07.001CrossRefPubMedPubMedCentral

Pennings, J. S., Devin, C. J., Khan, I., Bydon, M., Asher, A. L., & Archer, K. R. (2019). Prediction of Oswestry disability index (ODI) using PROMIS-29 in a national sample of lumbar spine surgery patients. Quality of Life Research, 28(10), 2839–2850. https://doi.org/10.1007/s11136-019-02223-8CrossRefPubMed

Hébert, J. J., Abraham, E., Wedderkopp, N., Bigney, E., Richardson, E., Darling, M., Hall, H., Fisher, C. G., Rampersaud, Y. R., Thomas, K. C., & Jacobs, W. B. (2020). Preoperative factors predict postoperative trajectories of pain and disability following surgery for degenerative lumbar spinal stenosis. Spine, 45(21), E1421–E1430. https://doi.org/10.1097/BRS.0000000000003587CrossRefPubMedPubMedCentral

Katzan, I. L., Thompson, N. R., George, S. Z., Passek, S., Frost, F., & Stilphen, M. (2019). The use of STarT back screening tool to predict functional disability outcomes in patients receiving physical therapy for low back pain. Spine Journal. https://doi.org/10.1016/j.spinee.2018.10.002CrossRef

Griswold, D., Gargano, F., & Learman, K. E. (2019). A randomized clinical trial comparing non-thrust manipulation with segmental and distal dry needling on pain, disability, and rate of recovery for patients with non-specific low back pain. Journal of Manual and Manipulative Therapy, 27(3), 141–151. https://doi.org/10.1080/10669817.2019.1574389CrossRefPubMedPubMedCentral

Deyo, R. A., Dworkin, S. F., Amtmann, D., Andersson, G., Borenstein, D., Carragee, E., Carrino, J., Chou, R., Cook, K., DeLitto, A., Goertz, C., Khalsa, P., Loeser, J., Mackey, S., Panagis, J., Rainville, J., Tosteson, T., Turk, D., Von Korff, M., & Weiner, D. K. (2014). Report of the NIH task force on research standards for chronic low back pain. Pain Medicine, 15(8), 1249–1267. https://doi.org/10.1111/pme.12538CrossRefPubMed

Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J. F., Bruce, B., & Rose, M. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(5), S3–S11. https://doi.org/10.1097/01.mlr.0000258615.42478.55CrossRefPubMedPubMedCentral

Patel, A. A., Dodwad, S. N. M., Boody, B. S., Bhatt, S., Savage, J. W., Hsu, W. K., & Rothrock, N. E. (2018). Validation of patient reported outcomes measurement information system (PROMIS) computer adaptive tests (CATs) in the surgical treatment of lumbar spinal stenosis. Spine, 43(21), 1521–1528. https://doi.org/10.1097/BRS.0000000000002648CrossRefPubMedPubMedCentral

Lapin, B., Davin, S., Stilphen, M., Benzel, E., & Katzan, I. L. (2020). Validation of PROMIS CATs and PROMIS global health in an interdisciplinary pain program for patients with chronic low back pain. Spine, 45(4), E227–E235. https://doi.org/10.1097/BRS.0000000000003232CrossRefPubMed

10.

Papuga, M. O., Mesfin, A., Molinari, R., & Rubery, P. T. (2016). Correlation of PROMIS physical function and pain CAT instruments with oswestry disability index and neck disability index in spine patients. Spine, 41(14), 1153–1159. https://doi.org/10.1097/BRS.0000000000001518CrossRefPubMedPubMedCentral

11.

Shahgholi, L., Yost, K. J., Carter, R. E., Geske, J. R., Hagen, C. E., Amrami, K. K., Diehn, F. E., Kaufmann, T. J., Morris, J. M., Murthy, N. S., Wald, J. T., Thielen, K. R., Kallmes, D. F., & Maus, T. P. (2015). Correlation of the patient reported outcomes measurement information system with legacy outcomes measures in assessment of response to lumbar transforaminal epidural steroid injections. American Journal of Neuroradiology, 36(3), 594–599. https://doi.org/10.3174/ajnr.A4150CrossRefPubMedPubMedCentral

12.

Revicki, D. A., Kawata, A. K., Harnam, N., Chen, W. H., Hays, R. D., & Cella, D. (2009). Predicting EuroQol (EQ-5D) scores from the patient-reported outcomes measurement information system (PROMIS) global items and domain item banks in a United States sample. Quality of Life Research, 18(6), 783–791. https://doi.org/10.1007/s11136-009-9489-8CrossRefPubMedPubMedCentral

13.

Schalet, B. D., Cook, K. F., Choi, S. W., & Cella, D. (2014). Establishing a common metric for self-reported anxiety: Linking the MASQ, PANAS, and GAD-7 to PROMIS anxiety. Journal of Anxiety Disorders, 28(1), 88–96. https://doi.org/10.1016/j.janxdis.2013.11.006CrossRefPubMed

14.

Choi, S. W., Schalet, B., Cook, K. F., & Cella, D. (2014). Establishing a common metric for depressive symptoms: Linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression. Psychological Assessment, 26(2), 513–527. https://doi.org/10.1037/a0035768CrossRefPubMedPubMedCentral

15.

Thompson, N. R., Lapin, B. R., & Katzan, I. L. (2017). Mapping PROMIS global health items to EuroQol (EQ-5D) utility scores using linear and equipercentile equating. PharmacoEconomics, 35(11), 1167–1176. https://doi.org/10.1007/s40273-017-0541-1CrossRefPubMed

16.

Hays, R. D., Revicki, D. A., Feeny, D., Fayers, P., Spritzer, K. L., & Cella, D. (2016). Using linear equating to map PROMIS® global health items and the PROMIS-29 V2.0 profile measure to the health utilities index mark 3. PharmacoEconomics, 34(10), 1015–1022. https://doi.org/10.1007/s40273-016-0408-xCrossRefPubMedPubMedCentral

17.

Schalet, B. D., Revicki, D. A., Cook, K. F., Krishnan, E., Fries, J. F., & Cella, D. (2015). Establishing a common metric for physical function: Linking the HAQ-DI and SF-36 PF subscale to PROMIS® physical function. Journal of General Internal Medicine, 30(10), 1517–1523. https://doi.org/10.1007/s11606-015-3360-0CrossRefPubMedPubMedCentral

18.

Cook, K. F., Schalet, B. D., Kallen, M. A., Rutsohn, J. P., & Cella, D. (2015). Establishing a common metric for self-reported pain: Linking BPI pain interference and SF-36 bodily pain subscale scores to the PROMIS pain interference metric. Quality of Life Research, 24(10), 2305–2318. https://doi.org/10.1007/s11136-015-0987-6CrossRefPubMedPubMedCentral

19.

Fritz, J. M., & Irrgang, J. J. (2001). A comparison of a modified oswestry low back pain disability questionnaire and the quebec back pain disability scale. Physical Therapy, 81(2), 776–788. https://doi.org/10.1093/ptj/81.2.776CrossRefPubMed

20.

Fairbank, J. C., & Pynsent, P. B. (2000). The oswestry disability index. Spine, 25(22), 2940–2953. https://doi.org/10.1097/00007632-200011150-00017CrossRefPubMed

21.

Katzan, I. L., Speck, M., Dopler, C., Urchek, J., Bielawski, K., Dunphy, C., Jehi, L., Bae, C., & Parchman, A. (2011). The knowledge program: An innovative, comprehensive electronic data capture system and warehouse. AMIA Annual Symposium Proceedings, pp. 683–692.

22.

Dorans, N. J. (2004). Equating, concordance, and expectation. Applied Psychological Measurement, 28(4), 227–246. https://doi.org/10.1177/0146621604265031CrossRef

23.

Noonan, V. K., Cook, K. F., Bamer, A. M., Choi, S. W., Kim, J., & Amtmann, D. (2012). Measuring fatigue in persons with multiple sclerosis: Creating a crosswalk between the modified fatigue impact scale and the PROMIS fatigue short form. Quality of Life Research, 21(7), 1123–1133. https://doi.org/10.1007/s11136-011-0040-3CrossRefPubMed

24.

Rose, M., Bjorner, J. B., Gandek, B., Bruce, B., Fries, J. F., & Ware, J. E. (2014). The PROMIS physical function item bank was calibrated to a standardized metric and shown to improve measurement efficiency. Journal of Clinical Epidemiology, 67(5), 516–526. https://doi.org/10.1016/j.jclinepi.2013.10.024CrossRefPubMedPubMedCentral

25.

Amtmann, D., Cook, K. F., Jensen, M. P., Chen, W. H., Choi, S., Revicki, D., Cella, D., Rothrock, N., Keefe, F., Callahan, L., & Lai, J.-S. (2010). Development of a PROMIS item bank to measure pain interference. Pain, 150(1), 173–182. https://doi.org/10.1016/j.pain.2010.04.025CrossRefPubMedPubMedCentral

26.

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258.CrossRef

27.

Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., Thissen, D., Revicki, D. A., Weiss, D. J., Hambleton, R. K., & Liu, H. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-reported outcomes measurement information system (PROMIS). Medical Care, 45(5 SUPPL. 1), 22–31. https://doi.org/10.1097/01.mlr.0000250483.85507.04CrossRef

28.

Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453.CrossRef

29.

Altman, D. G. (1991). Practical statistics for medical research. Chapman and Hall.

30.

R Core Team. (2021). R: A language environment for statistical computing. R Foundation for Statistical Computing.

31.

Albano, A. D. (2016). equate: An R package for observed-score linking and equating. Journal of Statistical Software. https://doi.org/10.18637/jss.v074.i08CrossRef

32.

Deyo, R. A., Ramsey, K., Buckley, D. I., Michaels, L., Kobus, A., Eckstrom, E., Forro, V., & Morris, C. (2016). Performance of a patient reported outcomes measurement information system (PROMIS) short form in older adults with chronic musculoskeletal pain. Pain Medicine, 17(2), 314–324. https://doi.org/10.1093/pm/pnv046CrossRefPubMed

33.

Amtmann, D., Kim, J., Chung, H., Askew, R. L., Park, R., & Cook, K. F. (2016). Minimally important differences for patient reported outcomes measurement information system pain interference for individuals with back pain. Journal of Pain Research, 9, 251–255. https://doi.org/10.2147/JPR.S93391CrossRefPubMedPubMedCentral

34.

Fayers, P. M., & Hays, R. D. (2014). Should linking replace regression when mapping from profile-based measures to preference-based measures? Value in Health, 17(2), 261–265. https://doi.org/10.1016/j.jval.2013.12.002CrossRefPubMedPubMedCentral

Titel: Mapping PROMIS physical function and pain interference to the modified low back pain disability questionnaire
Auteurs: Nicolas R. Thompson
Brittany R. Lapin
Michael P. Steinmetz
Edward C. Benzel
Irene L. Katzan
Publicatiedatum: 06-07-2022
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 12/2022
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-022-03174-3

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Andere artikelen Uitgave 12/2022

Reply to: Concerns with study ABC

Comparing patient global impression of severity and patient global impression of change to evaluate test–retest reliability of depression, non-small cell lung cancer, and asthma measures

Publisher Correction to: Response to the discussion of the assessment of functioning

Measurement properties and interpretability of the PROMIS item banks in stroke patients: a systematic review

Health-related quality of life analysis in ovarian cancer clinical trials involving PARP inhibitors: a critical methodological perspective

"I feel like my body is broken": exploring the experiences of people living with long COVID