Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression

Choi, Seung W.; Schalet, Benjamin; Cook, Karon F.; Cella, David

doi:10.1037/a0035768

Cited by 480Psychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Research Topics

Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression

Open access

Choi, Seung W., Schalet, Benjamin, Cook, Karon F., Cella, David·2014·Psychological Assessment

DOI 10.1037/a0035768PMC PMC5515387

Open this paper in CoChat — free account

Abstract

Interest in measuring patient-reported outcomes has increased dramatically in recent decades. This has simultaneously produced numerous assessment options and confusion. In the case of depressive symptoms, there are many commonly used options for measuring the same or a very similar concept. Public and professional reporting of scores can be confused by multiple scale ranges, normative levels, and clinical thresholds. A common reporting metric would have great value and can be achieved when similar instruments are administered to a single sample and then linked to each other to produce cross-walk score tables (e.g., Dorans, 2007; Kolen & Brennan, 2004). Using multiple procedures based on item response theory and equipercentile methods, we produced cross-walk tables linking 3 popular "legacy" depression instruments-the Center for Epidemiologic Studies Depression Scale (Radloff, 1977; N = 747), the Beck Depression Inventory-II (Beck, Steer, & Brown, 1996; N = 748), and the 9-item Patient Health Questionnaire (Kroenke, Spitzer, & Williams, 2001; N = 1,120)-to the depression metric of the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS; Cella et al., 2010). The PROMIS Depression metric is centered on the U.S. general population, matching the marginal distributions of gender, age, race, and education in the 2000 U.S. census (Liu et al., 2010). The linking relationships were evaluated by resampling small subsets and estimating confidence intervals for the differences between the observed and linked PROMIS scores; in addition, PROMIS cutoff scores for depression severity were estimated to correspond with those commonly used with the legacy measures. Our results allow clinicians and researchers to retrofit existing data of 3 popular depression measures to the PROMIS Depression metric and vice versa.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1037/a0035768

Cites

73 of 73 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The PROMIS depression scale has strong evidence of construct validity, having been validated against the CES-D, BDI-II, and PHQ-9.
“There is strong evidence of construct validity for the PROMIS depression scale, which has been validated against the Center for Epidemiological Studies Depression Scale (CES-D), the Beck Depression Inventory (BDI-II), and the Patient Health Questionnaire (PHQ-9) (Choi et al., 2014; Pilkonis et al., 2014).”
From Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study (2017) · cites this paper as Choi et al., 2014

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267 · see citing works
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
A rating scale for depression
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Cognitive Therapy for Depression
(2012) · PsycEXTRA Dataset · doi:10.1037/e675542012-001 · Cited by 9,678 · see citing works
In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1103_2 · Cited by 6,691 · see citing works
The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., et al. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.04.011 · Cited by 5,128 · see citing works
Self-citation
Cognitive Therapy of Depression
HOLLON, S. D., & BECK, A. T. (1979) · Cognitive-Behavioral Interventions · doi:10.1016/b978-0-12-404480-7.50012-5 · Cited by 4,685 · see citing works
Test Theory: A Unified Treatment
Zwick, R., & McDonald, R. P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669496 · Cited by 3,637 · see citing works
Depression: Causes and treatment
Beck, A. T. (1973) · Behavior Therapy · doi:10.1016/s0005-7894(73)80054-1 · Cited by 3,162 · see citing works
The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap Cooperative Group During its First Two Years
Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J. F., Bruce, B., & Rose, M. (2007) · Medical Care · doi:10.1097/01.mlr.0000258615.42478.55 · Cited by 3,118 · see citing works
Self-citation
Smoothing by spline functions
Reinsch, C. H. (1967) · Numerische Mathematik · doi:10.1007/bf02162161 · Cited by 2,270 · see citing works
Assessing depressive symptoms in five psychiatric populations: a validation study.
Weissman, M., Sholomskas, D., Pottenger, M., Prusoff, B., & Locke, B. Z. (1977) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112455 · Cited by 2,232 · see citing works
Item banks for measuring emotional distress from the patient-reported outcomes measurement information system (PROMIS®): Depression, anxiety, and anger
Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D., & PROMIS Cooperative Group (2011) · Assessment · doi:10.1177/1073191111411667 · Cited by 2,132 · see citing works
Self-citation
The Sources of Four Commonly Reported Cutoff Criteria: What Did They Really Say?
Lance, C. E., Butts, M. M., & Michels, L. C. (2006) · Organizational Research Methods · doi:10.1177/1094428105284919 · Cited by 2,053 · see citing works
Psychometric Evaluation and Calibration of Health-Related Quality of Life Item Banks
Reeve, B. B., Hays, R. D., Bjørner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., Thissen, D., Revicki, D. A., Weiss, D. J., Hambleton, R. K., et al. (2007) · Medical Care · doi:10.1097/01.mlr.0000250483.85507.04 · Cited by 1,491 · see citing works
Self-citation
Detecting and monitoring depression with a two-item questionnaire (PHQ-2)
Löwe, B., Kroenke, K., & Gräfe, K. (2005) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2004.09.006 · Cited by 1,473 · see citing works
Cronbach’s α , Revelle’s β , and Mcdonald’s ω H : their Relations with Each Other and Two Alternative Conceptualizations of Reliability
Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005) · Psychometrika · doi:10.1007/s11336-003-0974-7 · Cited by 1,439 · see citing works
The Development of Hierarchical Factor Solutions
Schmid, J., & Leiman, J. M. (1957) · Psychometrika · doi:10.1007/bf02289209 · Cited by 1,098 · see citing works
NIH Toolbox for Assessment of Neurological and Behavioral Function
Gershon, R. C., Wagster, M. V., Hendrie, H. C., Fox, N. A., Cook, K. F., & Nowinski, C. J. (2013) · Neurology · doi:10.1212/wnl.0b013e3182872e5f · Cited by 895 · see citing works
Self-citation
Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments
Buysse, D. J., Yu, L., Moul, D. E., Germain, A., Stover, A., Dodds, N. E., Johnston, K. L., Shablesky-Cade, M. A., & Pilkonis, P. A. (2010) · Sleep · doi:10.1093/sleep/33.6.781 · Cited by 850 · see citing works
Depression: causes and treatment
Mascella, V. (2013) · Estudos de Psicologia (Campinas) · doi:10.1590/s0103-166x2013000200016 · Cited by 833 · see citing works
Use of a self-report symptom scale to detect depression in a community sample
Myers, J. K., & Weissman, M. M. (1980) · American Journal of Psychiatry · doi:10.1176/ajp.137.9.1081 · Cited by 777 · see citing works
Multidimensionality and Structural Coefficient Bias in Structural Equation Modeling: A Bifactor Perspective
Reise, S. P., Scheines, R., Widaman, K. F., & Haviland, M. G. (2013) · Educational and Psychological Measurement · doi:10.1177/0013164412449831 · Cited by 766 · see citing works
Developing a Common Metric in Item Response Theory
Stocking, M. L., & Lord, F. M. (1983) · Applied Psychological Measurement · doi:10.1177/014662168300700208 · Cited by 744 · see citing works
Evaluation of Item Candidates: The PROMIS Qualitative Item Review
DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007) · Medical Care · doi:10.1097/01.mlr.0000254567.79743.e2 · Cited by 719 · see citing works
Test Equating, Scaling, and Linking: Methods and Practices
Kolen, M. J., & Brennan, R. L. (2004) · Springer eBooks · doi:10.1007/978-1-4757-4310-4 · Cited by 708 · see citing works
Local Dependence Indexes for Item Pairs Using Item Response Theory
Chen, W.-H., & Thissen, D. (1997) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986022003265 · Cited by 701 · see citing works
How Should the Internal Structure of Personality Inventories Be Evaluated?
Hopwood, C. J., & Donnellan, M. B. (2010) · Personality and Social Psychology Review · doi:10.1177/1088868310361240 · Cited by 671 · see citing works
Adaptive EAP Estimation of Ability in a Microcomputer Environment
Bock, R. D., & Mislevy, R. J. (1982) · Applied Psychological Measurement · doi:10.1177/014662168200600405 · Cited by 637 · see citing works
Standardized or simple effect size: what should be reported?
Baguley, T. (2009) · British Journal of Psychology · doi:10.1348/000712608x377117 · Cited by 619 · see citing works
Representativeness of the Patient-Reported Outcomes Measurement Information System Internet panel
Liu, H., Cella, D. F., Gershon, R. C., Shen, J., Morales, L. S., Riley, W. T., & Hays, R. D. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.11.021 · Cited by 447 · see citing works
Self-citation
The community mental health assessment survey and the CES-D scale
Radloff, L. (1983) · Medical Entomology and Zoology · Cited by 442 · see citing works
Psychometric Comparison of the PHQ-9 and BDI-II for Measuring Response during Treatment of Depression
Titov, N., Dear, B. F., McMillan, D., Anderson, T., Zou, J., & Sunderland, M. (2011) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2010.550059 · Cited by 342 · see citing works
Comparison of IRT True-Score and Equipercentile Observed-Score "Equatings"
Lord, F. M., & Wingersky, M. S. (1984) · Applied Psychological Measurement · doi:10.1177/014662168400800409 · Cited by 337 · see citing works
Having a Fit: Impact of Number of Items and Distribution of Data on Traditional Criteria for Assessing IRT’s Unidimensionality Assumption
Cook, K., Kallen, M., & Amtmann, D. (2009) · Quality of Life Research · doi:10.1007/s11136-009-9464-4 · Cited by 300 · see citing works
Self-citation
EQUATING LOGISTIC ABILITY SCALES BY A WEIGHTED LEAST SQUARES METHOD
Haebara, T. (1980) · Japanese Psychological Research · doi:10.4992/psycholres1954.22.144 · Cited by 273 · see citing works
The use of PROMIS and assessment center to deliver patient-reported outcome measures in clinical research.
Gershon, R. C., Rothrock, N. E., Hanrahan, R. T., Bass, M., & Cella, D. F. (2010) · PubMed · Cited by 268 · see citing works
Self-citation
Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms
Choi, S. W., Reise, S. P., Pilkonis, P. A., Hays, R. D., & Cella, D. F. (2009) · Quality of Life Research · doi:10.1007/s11136-009-9560-5 · Cited by 266 · see citing works
Self-citation
Progress in Assessing Physical Function in Arthritis: PROMIS Short Forms and Computerized Adaptive Testing
Fries, J. F., Cella, D. F., Rose, M., Krishnan, E., & Bruce, B. (2009) · The Journal of Rheumatology · doi:10.3899/jrheum.090358 · Cited by 244 · see citing works
Self-citation
Development and psychometric analysis of the PROMIS pain behavior item bank
Revicki, D. A., Chen, W.-H., Harnam, N., Cook, K. F., Amtmann, D., Callahan, L. F., Jensen, M. P., & Keefe, F. J. (2009) · Pain · doi:10.1016/j.pain.2009.07.029 · Cited by 239 · see citing works
Self-citation
Population Invariance and the Equatability of Tests: Basic Theory and The Linear Case
Dorans, N. J., & Holland, P. W. (2000) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2000.tb01088.x · Cited by 239 · see citing works
Getting What You Ask For: On the Selectivity of Depression Rating Scales
Demyttenaere, K., & De Fruyt, J. (2003) · Psychotherapy and Psychosomatics · doi:10.1159/000068690 · Cited by 206 · see citing works
A critical review of dimension-specific measures of health-related quality of life in cross-cultural research
Naughton, M. J., & Wiklund, I. E. (1993) · Quality of Life Research · doi:10.1007/bf00422216 · Cited by 197 · see citing works
Equating Health Status Measures With Item Response Theory
McHorney, C. A., & Cohen, A. S. (2000) · Medical Care · doi:10.1097/00005650-200009002-00008 · Cited by 182 · see citing works
Sensitivity and Specificity of Depression Questionnaires in a College-Age Sample
Shean, G. D., & Baldwin, G. (2008) · The Journal of Genetic Psychology · doi:10.3200/gntp.169.3.281-292 · Cited by 176 · see citing works
Firestar: Computerized Adaptive Testing Simulation Program for Polytomous Item Response Theory Models
Choi, S. W. (2009) · Applied Psychological Measurement · doi:10.1177/0146621608329892 · Cited by 175 · see citing works
Self-citation
Comparing the Beck Depression Inventory-II (BDI-II) and Patient Health Questionnaire (PHQ-9) depression measures in an integrated mood disorders practice.
Kung, S., Alarcón, R. D., Williams, M. D., Poppe, K. A., Moore, M. J., & Frye, M. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.08.017 · Cited by 149 · see citing works
Comparison of the PHQ-9 and CES-D depression scales in systemic sclerosis: internal consistency reliability, convergent validity and clinical correlates
Milette, K., Hudson, M., Baron, M., & Thombs, B. D. (2010) · Lara D. Veeken · doi:10.1093/rheumatology/kep443 · Cited by 147 · see citing works
Comparing the BDI-II and the PHQ-9 with outpatient substance abusers
Dum, M., Pickren, J., Sobell, L. C., & Sobell, M. B. (2007) · Addictive Behaviors · doi:10.1016/j.addbeh.2007.09.017 · Cited by 141 · see citing works
plink: AnRPackage for Linking Mixed-Format Tests Using IRT-Based Methods
Weeks, J. P. (2010) · Journal of Statistical Software · doi:10.18637/jss.v035.i12 · Cited by 136 · see citing works
Entwicklung des Fragebogens »ICD-10-Symptom-Rating« (ISR)
Tritt, K., von Heymann, F., Zaudig, M., Zacharias, I., Söllner, W., & Loew, T. (2008) · Zeitschrift für Psychosomatische Medizin und Psychotherapie · doi:10.13109/zptm.2008.54.4.409 · Cited by 123 · see citing works
Equating, Concordance, and Expectation
Dorans, N. J. (2004) · Applied Psychological Measurement · doi:10.1177/0146621604265031 · Cited by 119 · see citing works
Linking scores from multiple health outcome instruments
Dorans, N. J. (2007) · Quality of Life Research · doi:10.1007/s11136-006-9155-3 · Cited by 119 · see citing works
Summed-score linking using item response theory: Application to depression measurement.
Orlando, M., Sherbourne, C. D., & Thissen, D. (2000) · Psychological Assessment · doi:10.1037//1040-3590.12.3.354 · Cited by 118 · see citing works
Summed-score linking using item response theory: Application to depression measurement.
Orlando, M., Sherbourne, C. D., & Thissen, D. (2000) · Psychological Assessment · doi:10.1037/1040-3590.12.3.354 · Cited by 98 · see citing works
A Framework and History for Score Linking
Holland, P. W. (2007) · Springer eBooks · doi:10.1007/978-0-387-49771-6_2 · Cited by 83 · see citing works
Equating EORTC QLQ-C30 and FACT-G scores and its use in oncological research
Holzner, B., Bode, R. K., Hahn, E. A., Cella, D. F., Kopp, M., Sperner‐Unterweger, B., & Kemmler, G. (2006) · European Journal of Cancer · doi:10.1016/j.ejca.2006.08.016 · Cited by 83 · see citing works
Self-citation
Screening for major depressive disorder in the community: A comparison of measures.
Zimmerman, M., & Coryell, W. H. (1994) · Psychological Assessment · doi:10.1037/1040-3590.6.1.71 · Cited by 82 · see citing works
Assessment of self-reported negative affect in the NIH Toolbox
Pilkonis, P. A., Choi, S. W., Salsman, J. M., Butt, Z. A., Moore, T. L., Lawrence, S. M., Zill, N., Cyranowski, J. M., Kelly, M. A. R., Knox, S. S., et al. (2012) · Psychiatry Research · doi:10.1016/j.psychres.2012.09.034 · Cited by 69 · see citing works
Self-citation
The Standard Error of Equipercentile Equating
Lord, F. M. (1982) · Journal of Educational Statistics · doi:10.3102/10769986007003165 · Cited by 66 · see citing works
Equating the MOS SF36 and the LSU HSI Physical Functioning Scales.
Fisher, W. P., Eubanks, R. L., & Marier, R. L. (1997) · PubMed · Cited by 64 · see citing works
Migrating from a legacy fixed-format measure to CAT administration: calibrating the PHQ-9 to the PROMIS depression measures
Gibbons, L. E., Feldman, B. J., Crane, H. M., Mugavero, M. J., Willig, J. H., Patrick, D. L., Schumacher, J. E., Saag, M. S., Kitahata, M. M., & Crane, P. K. (2011) · Quality of Life Research · doi:10.1007/s11136-011-9882-y · Cited by 58 · see citing works
Measuring fatigue in persons with multiple sclerosis: creating a crosswalk between the Modified Fatigue Impact Scale and the PROMIS Fatigue Short Form
Noonan, V. K., Cook, K. F., Bamer, A. M., Choi, S. W., Kim, J., & Amtmann, D. (2012) · Quality of Life Research · doi:10.1007/s11136-011-0040-3 · Cited by 54 · see citing works
Self-citation
Using the PedsQL™ 3.0 asthma module to obtain scores comparable with those of the PROMIS pediatric asthma impact scale (PAIS)
Thissen, D., Varni, J. W., Stucky, B. D., Liu, Y., Irwin, D. E., & DeWalt, D. A. (2011) · Quality of Life Research · doi:10.1007/s11136-011-9874-y · Cited by 52 · see citing works
Evaluating the Impact of Multidimensionality on Unidimensional Item Response Theory Model Parameters
Stucky, B. D., & Edelen, M. O. (2014) · Routledge eBooks · doi:10.4324/9781315736013-11 · Cited by 47 · see citing works
A comparison of two depressive symptomatology measures in residential substance abuse treatment clients
Hepner, K. A., Hunter, S. B., Edelen, M. O., Zhou, A. J., & Watkins, K. E. (2009) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2009.03.005 · Cited by 44 · see citing works
How to compare scores from different depression scales: equating the Patient Health Questionnaire (PHQ) and the ICD‐10‐Symptom Rating (ISR) using Item Response Theory
Fischer, F. H., Tritt, K., Klapp, B. F., & Fliege, H. (2011) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.350 · Cited by 41 · see citing works
Linking Pain Items from Two Studies Onto a Common Scale Using Item Response Theory
Chen, W.-H., Revicki, D. A., Lai, J., Cook, K. F., & Amtmann, D. (2009) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2008.11.016 · Cited by 31 · see citing works
Self-citation
Identifying Local Dependence With a Score Test Statistic Based on the Bifactor Logistic Model
Liu, Y., & Thissen, D. (2012) · Applied Psychological Measurement · doi:10.1177/0146621612458174 · Cited by 29 · see citing works
Describing depression: Congruence between patient experiences and clinical assessments
Kelly, M. A. R., Morse, J. Q., Stover, A., Hofkens, T., Huisman, E., Shulman, S. W., Eisen, S., Becker, S. J., Weinfurt, K., Boland, E. M., et al. (2011) · British Journal of Clinical Psychology · doi:10.1348/014466510x493926 · Cited by 28 · see citing works
Patient-Centered Revisions to the DSM-5
Kuhl, E. A., Kupfer, D. J., & Regier, D. A. (2011) · The AMA Journal of Ethic · doi:10.1001/virtualmentor.2011.13.12.stas1-1112 · Cited by 11 · see citing works
Erratum to: Migrating from a legacy fixed-format measure to CAT administration: calibrating the PHQ-9 to the PROMIS depression measures
Gibbons, L. E., Feldman, B. J., Crane, H. M., Mugavero, M. J., Willig, J. H., Patrick, D. L., Schumacher, J. E., Saag, M. S., Kitahata, M. M., & Crane, P. K. (2012) · Quality of Life Research · doi:10.1007/s11136-012-0313-5 · Cited by 2 · see citing works

Flagged first, then by citations

1 of the 74 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

Quilty LC Bagby R 2008 The assessment of depressive severity: A review Directions in Psychiatry 28 135 146

Sorted by citations

ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS: Research Article: Social Media and Depression
Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016) · Depression and Anxiety · doi:10.1002/da.22466 · Cited by 1,111 · see citing works
Use of multiple social media platforms and symptoms of depression and anxiety: a nationally-representative study among U.S. young adults
Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.013 · Cited by 581 · see citing works
Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study
Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.03.061 · Cited by 469 · see citing works
Digital interventions for the treatment of depression: a meta-analytic review
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021) · Psychological Bulletin · doi:10.1037/bul0000334 · Cited by 390 · see citing works
Association of Depressive Symptoms With Incident Cardiovascular Diseases in Middle-Aged and Older Chinese Adults
Li, H., Zheng, D., Li, Z., Wu, Z., Feng, W., Cao, X., Wang, J., Gao, Q., Li, X., Wang, W., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.16591 · Cited by 395 · see citing works
Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2
Domains, B. (2015) · Cited by 299 · see citing works
Development and validation of a daily pain catastrophizing scale
Darnall, B. D., Sturgeon, J. A., Cook, K. F., Taub, C. J., Roy, A., Burns, J. W., Sullivan, M., & Mackey, S. C. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2017.05.003 · Cited by 264 · see citing works
Self-citation
Establishing a common metric for self-reported anxiety: Linking the MASQ, PANAS, and GAD-7 to PROMIS Anxiety
Schalet, B. D., Cook, K. F., Choi, S. W., & Cella, D. F. (2013) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2013.11.006 · Cited by 260 · see citing works
Self-citation
Development and validation of the PROMIS Pediatric Sleep Disturbance and Sleep-Related Impairment item banks
Forrest, C. B., Meltzer, L. J., Marcus, C. L., de la Motte, A., Kratchman, A. L., Buysse, D. J., Pilkonis, P. A., Becker, B. D., & Bevans, K. B. (2018) · SLEEP · doi:10.1093/sleep/zsy054 · Cited by 250 · see citing works
Patient-Reported Outcomes Measurement Information System (PROMIS): Efficient, standardized tools to measure self-reported health and quality of life
Bevans, M. F., Ross, A. C., & Cella, D. F. (2014) · Nursing Outlook · doi:10.1016/j.outlook.2014.05.009 · Cited by 242 · see citing works
Self-citation
Preoperative PROMIS Scores Predict Postoperative Success in Foot and Ankle Patients
Ho, B. S., Houck, J. R., Flemister, A. S., Ketz, J. P., Oh, I. C., DiGiovanni, B. F., & Baumhauer, J. F. (2016) · Foot & Ankle International · doi:10.1177/1071100716665113 · Cited by 234 · see citing works
Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis
Shensa, A. S., Sidani, J. E., Dew, M. A., Escobar-Viera, C. G., & Primack, B. A. (2018) · American Journal of Health Behavior · doi:10.5993/ajhb.42.2.11 · Cited by 238 · see citing works
Reliability and Validity of Selected PROMIS Measures in People with Rheumatoid Arthritis
Bartlett, S. J., Orbai, A., Trisha, D., Elaine, D., Ruffing, V., Katherine, C.-S., & Bingham, C. O. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138543 · Cited by 219 · see citing works
Operating Characteristics of PROMIS Four-Item Depression and Anxiety Scales in Primary Care Patients with Chronic Pain
Kroenke, K., Yu, Z., Wu, J., Kean, J., & Monahan, P. O. (2014) · Pain Medicine · doi:10.1111/pme.12537 · Cited by 187 · see citing works
Functional Disability in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis
Lindbergh, C. A., Dishman, R. K., & Miller, L. S. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9321-5 · Cited by 191 · see citing works
Overview of the Spinal Cord Injury – Quality of Life (SCI-QOL) measurement system
Tulsky, D. S., Kisala, P. A., Victorson, D. E., Tate, D. G., Heinemann, A. W., Charlifue, S. W., Kirshblum, S., Fyffe, D. C., Gershon, R. C., Spungen, A. M., et al. (2015) · Journal of Spinal Cord Medicine · doi:10.1179/2045772315y.0000000023 · Cited by 184 · see citing works
Self-citation
Problematic Social Media Use and Perceived Social Isolation in Older Adults: A Cross-Sectional Study
Meshi, D., Cotten, S. R., & Bender, A. R. (2020) · Gerontology · doi:10.1159/000502577 · Cited by 173 · see citing works
A PERIOD3 variant causes a circadian phenotype and is associated with a seasonal mood trait
Zhang, L., Hirano, A., Hsu, P.-K., Jones, C. R., Sakai, N., Okuro, M., McMahon, T., Yamazaki, M., Xu, Y., Saigoh, N., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600039113 · Cited by 169 · see citing works
Performance of a Patient Reported Outcomes Measurement Information System (PROMIS) Short Form in Older Adults with Chronic Musculoskeletal Pain
Deyo, R. A., Ramsey, K., Buckley, D. I., Michaels, L., Kobus, A., Eckstrom, E., Forro, V., & Morris, C. (2016) · Pain Medicine · doi:10.1093/pm/pnv046 · Cited by 170 · see citing works
Reliability and validity of the Farsi version of the Patient Health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatients
Dadfar, M., Kalibatseva, Z., & Lester, D. (2018) · Trends in Psychiatry and Psychotherapy · doi:10.1590/2237-6089-2017-0116 · Cited by 136 · see citing works
A Common Metric for Self-Reported Severity of Personality Disorder
Zimmermann, J., Müller, S., Bach, B., Hutsebaut, J., Hummelen, B., & Fischer, F. H. (2020) · Psychopathology · doi:10.1159/000507377 · Cited by 125 · see citing works
Minimally important differences and severity thresholds are estimated for the PROMIS depression scales from three randomized clinical trials
Kroenke, K., Stump, T. E., Chen, C. X., Kean, J., Bair, M. J., Damush, T. M., Krebs, E. E., & Monahan, P. O. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.01.101 · Cited by 131 · see citing works
Measuring the relationship between social media use and addictive behavior and depression and suicide ideation among university students
Jasso-Medrano, J. L., & López-Rosales, F. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.003 · Cited by 119 · see citing works
Standardization of health outcomes assessment for depression and anxiety: recommendations from the ICHOM Depression and Anxiety Working Group
Obbarius, A., van Maasakkers, L., Baer, L., Clark, D. M., Crocker, A. G., de Beurs, E., Emmelkamp, P. M. G., Furukawa, T. A., Hedman-Lagerlöf, E., Kangas, M., et al. (2017) · Quality of Life Research · doi:10.1007/s11136-017-1659-5 · Cited by 116 · see citing works
Psychometric Evaluation of the Patient-Reported Outcomes Measurement Information System Fatigue-Short Form Across Diverse Populations
Ameringer, S., Elswick, R. K., Menzies, V. S., Robins, J. L. W., Starkweather, A. R., Walter, J. M., Gentry, A. E., & Jallo, N. (2016) · Nursing Research · doi:10.1097/nnr.0000000000000162 · Cited by 114 · see citing works
PROMIS GH (Patient-Reported Outcomes Measurement Information System Global Health) Scale in Stroke
Katzan, I. L., & Lapin, B. R. (2017) · Stroke · doi:10.1161/strokeaha.117.018766 · Cited by 114 · see citing works
Individual and Network Factors Associated With Racial Disparities in HIV Among Young Men Who Have Sex With Men: Results From the RADAR Cohort Study
Mustanski, B. S., Morgan, E., D’Aquila, R. T., Birkett, M. A., Janulis, P. F., & Newcomb, M. E. (2018) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000001886 · Cited by 114 · see citing works
Linking Physical and Mental Health Summary Scores from the Veterans RAND 12-Item Health Survey (VR-12) to the PROMIS® Global Health Scale
Schalet, B. D., Rothrock, N. E., Hays, R. D., Kazis, L. E., Cook, K. F., Rutsohn, J. P., & Cella, D. F. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3453-9 · Cited by 114 · see citing works
Self-citation
Testing the efficacy of a multicomponent, self-guided, smartphone-based meditation app: Three-armed randomized controlled trial
Goldberg, S. B., Imhoff-Smith, T., Bolt, D. M., Wilson-Mendenhall, C. D., Dahl, C. J., Davidson, R. J., & Rosenkranz, M. A. (2020) · JMIR Mental Health · doi:10.2196/23825 · Cited by 97 · see citing works
“Additional information about the psychometric properties and theoretical relevance of the included measures is provided in Multimedia Appendix 1 [73-101].”
Background
Assessing distress in the community: psychometric properties and crosswalk comparison of eight measures of psychological distress
Batterham, P. J., Sunderland, M., Slade, T. N., Calear, A. L., & Carragher, N. (2017) · Psychological Medicine · doi:10.1017/s0033291717002835 · Cited by 110 · see citing works
Factors associated with poor quality of life among cervical cancer survivors: Implications for clinical care and clinical trials
Osann, K., Hsieh, S., Nelson, E. L., Monk, B. J., Chase, D. M., Cella, D. F., & Wenzel, L. B. (2014) · Gynecologic Oncology · doi:10.1016/j.ygyno.2014.08.036 · Cited by 106 · see citing works
Self-citation
Integrating HIV Prevention and Relationship Education for Young Same-Sex Male Couples: A Pilot Trial of the 2GETHER Intervention
Newcomb, M. E., Macapagal, K. R., Feinstein, B. A., Bettin, E., Swann, G., & Whitton, S. W. (2017) · AIDS and Behavior · doi:10.1007/s10461-017-1674-0 · Cited by 102 · see citing works
Infertile women who screen positive for depression are less likely to initiate fertility treatments
Crawford, N., Hoff, H. S., & Mersereau, J. E. (2016) · Human Reproduction · doi:10.1093/humrep/dew351 · Cited by 101 · see citing works
Comparative validity and responsiveness of PHQ-ADS and other composite anxiety-depression measures
Kroenke, K., Baye, F. M., & Lourens, S. G. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.12.098 · Cited by 99 · see citing works
The most affected health domains after ischemic stroke
Katzan, I. L., Thompson, N. R., Uchino, K., & Lapin, B. R. (2018) · Neurology · doi:10.1212/wnl.0000000000005327 · Cited by 99 · see citing works
Testing the Efficacy of a Multicomponent, Self-Guided, Smartphone-Based Meditation App: Three-Armed Randomized Controlled Trial (Preprint)
Goldberg, S. B., Imhoff-Smith, T., Bolt, D. M., Wilson-Mendenhall, C. D., Dahl, C. J., Davidson, R. J., & Rosenkranz, M. A. (2020) · doi:10.2196/preprints.23825 · Cited by 97 · see citing works
Measurement invariance and general population reference values of the PROMIS Profile 29 in the UK, France, and Germany
Fischer, F. H., Sidey-Gibbons, C. J., Coste, J., Valderas, J. M., Rose, M., & Leplège, A. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1785-8 · Cited by 96 · see citing works
Clinical outcome assessment in clinical trials of chronic pain treatments
Patel, K. V., Amtmann, D., Jensen, M. P., Smith, S. M., Veasley, C., & Turk, D. C. (2021) · PAIN Reports · doi:10.1097/pr9.0000000000000784 · Cited by 96 · see citing works
Graduate Student Mental Health: Lessons from American Economics Departments
Bolotnyy, V., Basilico, M. F., & Barreira, P. J. (2022) · Journal of Economic Literature · doi:10.1257/jel.20201555 · Cited by 94 · see citing works
Temporal Associations Between Social Media Use and Depression
Primack, B. A., Shensa, A. S., Sidani, J. E., Escobar-Viera, C. G., & Fine, M. J. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.09.014 · Cited by 93 · see citing works
Concurrent Validity and Responsiveness of PROMIS Health Domains Among Patients Presenting for Anterior Cervical Spine Surgery
Purvis, T. E., Andreou, E., Neuman, B. J., Riley, L. H., & Skolasky, R. L. (2017) · Spine · doi:10.1097/brs.0000000000002347 · Cited by 92 · see citing works
Depression, Anxiety, and Alcohol Use in Elite Rugby League Players Over a Competitive Season
Preez, E. J. D., Graham, K. S., Gan, T. Y., Moses, B., Ball, C., & Kuah, D. (2017) · Clinical Journal of Sport Medicine · doi:10.1097/jsm.0000000000000411 · Cited by 93 · see citing works
Trajectories of post-traumatic stress symptoms, anxiety, and depression in hospitalized COVID-19 patients: A one-month follow-up
Matalon, N., Dorman-Ilan, S., Hasson‐Ohayon, I., Hertz‐Palmor, N., Shani, S., Basel, D., Gross, R., Chen, W., Abramovich, A., Afek, A. B., et al. (2021) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2021.110399 · Cited by 91 · see citing works
Immersive Virtual Reality for the Management of Pain in Community-Dwelling Older Adults
Benham, S., Kang, M., & Grampurohit, N. (2018) · OTJR Occupational Therapy Journal of Research · doi:10.1177/1539449218817291 · Cited by 89 · see citing works
Calibration and initial validation of a general self-efficacy item bank and short form for the NIH PROMIS®
Salsman, J. M., Schalet, B. D., Merluzzi, T. V., Park, C. L., Hahn, E. A., Snyder, M. A., & Cella, D. F. (2019) · Quality of Life Research · doi:10.1007/s11136-019-02198-6 · Cited by 88 · see citing works
Self-citation
Anxiety and Depression Symptoms in COVID-19 Isolated Patients and in Their Relatives
Dorman-Ilan, S., Hertz‐Palmor, N., Brand‐Gothelf, A., Hasson‐Ohayon, I., Matalon, N., Gross, R., Chen, W., Abramovich, A., Afek, A. B., Ziv, A., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.581598 · Cited by 90 · see citing works
Establishing a Common Metric for Physical Function: Linking the HAQ-DI and SF-36 PF Subscale to PROMIS® Physical Function
Schalet, B. D., Revicki, D. A., Cook, K. F., Krishnan, E., Fries, J. F., & Cella, D. F. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-015-3360-0 · Cited by 87 · see citing works
Self-citation
Pilot feasibility of an mHealth system for conducting ecological momentary assessment of mood-related symptoms following traumatic brain injury
Juengst, S. B., Graham, K. M., Pulantara, I. W., McCue, M. P., Whyte, E. M., Dicianno, B. E., Parmanto, B., Arenth, P. M., Skidmore, E. R., & Wagner, A. K. (2015) · Brain Injury · doi:10.3109/02699052.2015.1045031 · Cited by 86 · see citing works
Creating meaningful cut-scores for Neuro-QOL measures of fatigue, physical functioning, and sleep disturbance using standard setting with patients and providers
Cook, K. F., Victorson, D. E., Cella, D. F., Schalet, B. D., & Miller, D. M. (2014) · Quality of Life Research · doi:10.1007/s11136-014-0790-9 · Cited by 86 · see citing works
Self-citation
A pragmatic clinical trial examining the impact of a resilience program on college student mental health
Akeman, E., Kirlic, N., Clausen, A. N., Cosgrove, K. T., McDermott, T. J., Cromer, L. D., Paulus, M. P., Yeh, H., & Aupperle, R. L. (2020) · Depression and Anxiety · doi:10.1002/da.22969 · Cited by 85 · see citing works
Losing trust in body sensations: Interoceptive awareness and depression symptom severity among primary care patients
Dunne, J. P., Flores, M. W., Gawande, R., & Schuman‐Olivier, Z. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.12.092 · Cited by 89 · see citing works
Psychosocial interventions to improve mental health in adults with vision impairment: systematic review and meta‐analysis
van der Aa, H. P. A., Margrain, T. H., van Rens, G. H. M. B., Heymans, M. W., & van Nispen, R. M. A. (2016) · Ophthalmic and Physiological Optics · doi:10.1111/opo.12313 · Cited by 84 · see citing works
Self-reported cognitive biases in depression: A meta-analysis
Nieto, I., Robles, E., & Vázquez, C. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101934 · Cited by 83 · see citing works
Establishing Crosswalks Between Common Measures of Burnout in US Physicians
Brady, K. J. S., Ni, P., Carlasare, L. E., Shanafelt, T. D., Sinsky, C. A., Linzer, M., Stillman, M. J., & Trockel, M. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-06661-4 · Cited by 81 · see citing works
Alliance with an unguided smartphone app: validation of the digital working alliance inventory
Goldberg, S. B., Baldwin, S. A., Riordan, K. M., Torous, J., Dahl, C. J., Davidson, R. J., & Hirshberg, M. J. (2022) · Assessment · doi:10.1177/10731911211015310 · Cited by 74 · see citing works
Discriminant Ability, Concurrent Validity, and Responsiveness of PROMIS Health Domains Among Patients With Lumbar Degenerative Disease Undergoing Decompression With or Without Arthrodesis
Purvis, T. E., Neuman, B. J., Riley, L. H., & Skolasky, R. L. (2018) · Spine · doi:10.1097/brs.0000000000002661 · Cited by 91 · see citing works
Floor Effect of PROMIS Depression CAT Associated With Hasty Completion in Orthopaedic Surgery Patients
Guattery, J. M., Dardas, A. Z., Kelly, M. A., Chamberlain, A. M., McAndrew, C. M., & Calfee, R. P. (2018) · Clinical Orthopaedics and Related Research · doi:10.1007/s11999.0000000000000076 · Cited by 76 · see citing works
An Empirical Crosswalk for the PTSD Checklist: Translating DSM‐IV to DSM‐5 Using a Veteran Sample
Moshier, S. J., Lee, D. J., Bovin, M. J., Gauthier, G. M., Zax, A., Rosen, R. C., Keane, T. M., & Marx, B. P. (2019) · Journal of Traumatic Stress · doi:10.1002/jts.22438 · Cited by 75 · see citing works
Item response theory and the measurement of psychiatric constructs: some empirical and conceptual issues and challenges
Reise, S. P., & Rodriguez, A. (2016) · Psychological Medicine · doi:10.1017/s0033291716000520 · Cited by 74 · see citing works
Measurement of Symptom Change Following Web-Based Psychotherapy: Statistical Characteristics and Analytical Methods for Measuring and Interpreting Change
Karin, E., Dear, B. F., Heller, G. Z., Gandy, M., & Titov, N. (2018) · JMIR Mental Health · doi:10.2196/10200 · Cited by 69 · see citing works
Assessing Meaning & Purpose in Life: Development and Validation of an Item Bank and Short Forms for the NIH PROMIS®
Salsman, J., Schalet, B., Park, C. L., George, L. S., Steger, M., Hahn, E., Snyder, M. A., & Cella, D. (2020) · Quality of Life Research · doi:10.1007/s11136-020-02489-3 · Cited by 66 · see citing works
Self-citation
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
Cook, K. F., Schalet, B. D., Kallen, M. A., Rutsohn, J. P., & Cella, D. (2015) · Quality of Life Research · doi:10.1007/s11136-015-0987-6 · Cited by 79 · see citing works
Self-citation
Equipercentile linking of scales measuring functioning and symptoms: Examining the GAF, SOFAS, CGI-S, and PANSS
Samara, M. T., Engel, R. R., Millier, A., Kandenwein, J. A., Toumi, M., & Leucht, S. (2014) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2014.08.009 · Cited by 70 · see citing works
Effects of sexual/gender minority- and race-based enacted stigma on mental health and substance use in female assigned at birth sexual minority youth.
Swann, G., Stephens, J., Newcomb, M. E., & Whitton, S. W. (2019) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/cdp0000292 · Cited by 69 · see citing works
Mental and Physical Health Disparities in Patients With Carpal Tunnel Syndrome Living With High Levels of Social Deprivation
Wright, M. A., Beleckas, C. M., & Calfee, R. P. (2018) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2018.05.019 · Cited by 68 · see citing works
Health-related quality of life measurement in oncology: Advances and opportunities.
Cella, D. F., & Stone, A. A. (2015) · American Psychologist · doi:10.1037/a0037821 · Cited by 66 · see citing works
Self-citation
Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods
Schalet, B. D., Lim, S., Cella, D. F., & Choi, S. W. (2021) · Psychometrika · doi:10.1007/s11336-021-09776-z · Cited by 65 · see citing works
Self-citation
Measures of Depression and Depressive Symptoms
Smarr, K. L., & Keefer, A. L. (2020) · Arthritis Care & Research · doi:10.1002/acr.24191 · Cited by 65 · see citing works
The inevitability of Covid-19 related distress among healthcare workers: Findings from a low caseload country under lockdown
Hawari, F. I., Obeidat, N. A., Dodin, Y., Albtoosh, A. S., Manasrah, R. M., Alaqeel, I. O., & Mansour, A. H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248741 · Cited by 61 · see citing works
Core Outcome Measures for Chronic Musculoskeletal Pain Research: Recommendations from a Veterans Health Administration Work Group
Kroenke, K., Krebs, E. E., Turk, D. C., Korff, M. V., Bair, M. J., Allen, K. D., Sandbrink, F., Cheville, A. L., DeBar, L., Lorenz, K., et al. (2018) · Pain Medicine · doi:10.1093/pm/pny279 · Cited by 60 · see citing works
A Formative Evaluation of Patient and Family Caregiver Perspectives on Early Palliative Care in Chronic Obstructive Pulmonary Disease across Disease Severity
Iyer, A. S., Dionne-Odom, J. N., Ford, S. M., Tims, S., Sockwell, E., Ivankova, N. V., Brown, C. J., Tucker, R. O., Dransfield, M. T., & Bakitas, M. A. (2019) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201902-112oc · Cited by 58 · see citing works
From Big Data to Knowledge in the Social Sciences
Hesse, B. W., Moser, R. P., & Riley, W. T. (2015) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716215570007 · Cited by 57 · see citing works
Loneliness and Psychotic Symptoms: The Mediating Role of Depression
Jaya, E. S., Hillmann, T. E., Reininger, K. M., Gollwitzer, A., & Lincoln, T. M. (2016) · Cognitive Therapy and Research · doi:10.1007/s10608-016-9799-4 · Cited by 54 · see citing works
The association between valence of social media experiences and depressive symptoms
Primack, B. A., Bisbey, M. A., Shensa, A. S., Bowman, N. D., Karim, S. A., Knight, J. M., & Sidani, J. E. (2018) · Depression and Anxiety · doi:10.1002/da.22779 · Cited by 54 · see citing works
Effect of a Self-management Support Intervention on Asthma Outcomes in Older Adults
Federman, A. D., O’Conor, R. M., Mindlis, I., Hoy‐Rosas, J., Hauser, D., Lurio, J., Shroff, N., Lopez, R., Erblich, J., Wolf, M. S., et al. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.1201 · Cited by 53 · see citing works
Comparison of PROMIS Anxiety and Depression, PHQ-8, and GAD-7 to screen for anxiety and depression among patients presenting for spine surgery
Purvis, T. E., Neuman, B. J., Riley, L. H., & Skolasky, R. L. (2019) · Journal of Neurosurgery Spine · doi:10.3171/2018.9.spine18521 · Cited by 54 · see citing works
Methodology for the development and calibration of the SCI-QOL item banks
Tulsky, D. S., Kisala, P. A., Victorson, D. E., Choi, S. W., Gershon, R. C., Heinemann, A. W., & Cella, D. F. (2015) · Journal of Spinal Cord Medicine · doi:10.1179/2045772315y.0000000034 · Cited by 51 · see citing works
Self-citation
Quality of Life after Face Transplantation: Outcomes, Assessment Tools, and Future Directions
Aycart, M. A., Kiwanuka, H., Krezdorn, N., Alhefzi, M. M., Bueno, E. M., Pomahač, B., & Oser, M. L. (2016) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000002890 · Cited by 51 · see citing works
Determining the Generalizability of the PROMIS Depression Domain’s Floor Effect and Completion Time in Patients Undergoing Orthopaedic Surgery
Bernstein, D. N., Atkinson, J. D., Fear, K., Baumhauer, J. F., Mesfin, A., Rubery, P. T., & Hammert, W. C. (2019) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000000782 · Cited by 51 · see citing works
Innovations in Stroke
Katzan, I. L., Thompson, N. R., & Uchino, K. (2016) · Stroke · doi:10.1161/strokeaha.115.011377 · Cited by 50 · see citing works
Bullying Perpetration and Victimization as Externalizing and Internalizing Pathways: A Retrospective Study Linking Parenting Styles and Self-Esteem to Depression, Alcohol Use, and Alcohol-Related Problems
Luk, J. W., Patock‐Peckham, J. A., Medina, M., Terrell, N., Belton, D. A., & King, K. M. (2016) · Substance Use & Misuse · doi:10.3109/10826084.2015.1090453 · Cited by 50 · see citing works
Expanding a common metric for depression reporting: linking two scales to PROMIS® depression
Kaat, A. J., Newcomb, M. E., Ryan, D. T., & Mustanski, B. S. (2016) · Quality of Life Research · doi:10.1007/s11136-016-1450-z · Cited by 48 · see citing works
Measurement properties of depression questionnaires in patients with diabetes: a systematic review
van Dijk, S. E. M., Adriaanse, M. C., van der Zwaan, L. G. L., Bosmans, J. E., van Marwijk, H., van Tulder, M. W., & Terwee, C. B. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1782-y · Cited by 47 · see citing works
Laughter, crying and sadness in ALS
Thakore, N. J., & Pioro, E. P. (2017) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-315622 · Cited by 46 · see citing works
The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials
O’Driscoll, C., Buckman, J. E. J., Fried, E. I., Saunders, R., Cohen, Z. D., Ambler, G., DeRubeis, R. J., Gilbody, S. M., Hollon, S. D., Kendrick, T., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-01971-0 · Cited by 46 · see citing works
Improvements to PTSD quality metrics with natural language processing
Shiner, B. R., Levis, M., Dufort, V., Patterson, O. V., Watts, B. V., DuVall, S. L., Russ, C. J., & Maguen, S. (2021) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13587 · Cited by 46 · see citing works
The Impact of Education on Depression Assessment: Differential Item Functioning Analysis
Taple, B. J., Chapman, R., Schalet, B. D., Brower, R., & Griffith, J. W. (2020) · Assessment · doi:10.1177/1073191120971357 · Cited by 45 · see citing works
Self-citation
Developing a common metric for depression across adulthood: Linking PROMIS depression with the Edinburgh Postnatal Depression Scale.
Blackwell, C. K., Tang, X., Elliott, A., Thomes, T., Louwagie, H., Gershon, R. C., Schalet, B. D., & Cella, D. F. (2021) · Psychological Assessment · doi:10.1037/pas0001009 · Cited by 43 · see citing works
Self-citation
Preoperative PROMIS Scores Predict Postoperative PROMIS Score Improvement for Patients Undergoing Hand Surgery
Bernstein, D. N., Houck, J. R., Gonzalez, R. M., Wilbur, D. M., Miller, R. J., Mitten, D. J., & Hammert, W. C. (2018) · Hand · doi:10.1177/1558944718791188 · Cited by 44 · see citing works
Common measures or common metrics? A plea to harmonize measurement results
de Beurs, E., Boehnke, J. R., & Fried, E. I. (2022) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2742 · Cited by 55 · see citing works
Measuring Quality of Life Using Patient-Reported Outcomes in Real-World Metastatic Breast Cancer Patients: The Need for a Standardized Approach
Clarijs, M. E., Thurell, J., Kühn, F., Groot, C. A. U., Hedayati, E., Karsten, M. M., Jager, A., & Koppert, L. B. (2021) · Cancers · doi:10.3390/cancers13102308 · Cited by 45 · see citing works
Translating CESD-20 and PHQ-9 Scores to PROMIS Depression
Kim, J., Chung, H., Askew, R. L., Park, R., Jones, S. M. W., Cook, K. F., & Amtmann, D. (2015) · Assessment · doi:10.1177/1073191115607042 · Cited by 41 · see citing works
Self-citation
Physical function metric over measure: An illustration with the Patient‐Reported Outcomes Measurement Information System (PROMIS) and the Functional Assessment of Cancer Therapy (FACT)
Kaat, A. J., Schalet, B. D., Rutsohn, J. P., Jensen, R. E., & Cella, D. F. (2017) · Cancer · doi:10.1002/cncr.30981 · Cited by 41 · see citing works
Self-citation
Resilience Factors in the Association Between Depressive Symptoms and Suicidality
Yu, J., Goldstein, R. B., Haynie, D. L., Luk, J. W., Fairman, B. J., Patel, R. A., Vidal‐Ribas, P., Maultsby, K. D., Gudal, M., & Gilman, S. E. (2021) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2020.12.004 · Cited by 41 · see citing works
Determining validity, discriminant ability, responsiveness, and minimal clinically important differences for PROMIS in adult spinal deformity
Ibaseta, A., Rahman, R., Andrade, N. S., Skolasky, R. L., Kebaish, K. M., Sciubba, D. M., & Neuman, B. J. (2021) · Journal of Neurosurgery Spine · doi:10.3171/2020.8.spine191551 · Cited by 41 · see citing works
Collecting psychosocial "vital signs" in electronic health records: Why now? What are they? What's new for psychology?
Matthews, K., Adler, N., Forrest, C., & Stead, W. (2016) · American Psychologist · doi:10.1037/a0040317 · Cited by 40 · see citing works
Emotion network density is a potential clinical marker for anxiety and depression: Comparison of ecological momentary assessment and daily diary
Shin, K. E., Newman, M. G., & Jacobson, N. C. (2021) · British Journal of Clinical Psychology · doi:10.1111/bjc.12295 · Cited by 41 · see citing works
Patient-reported outcomes across cerebrovascular event types
Katzan, I., Schuster, A., Newey, C., Uchino, K., & Lapin, B. (2018) · Neurology · doi:10.1212/wnl.0000000000006626 · Cited by 19 · see citing works
Validation of PROMIS CATs and PROMIS Global Health in an Interdisciplinary Pain Program for Patients With Chronic Low Back Pain
Lapin, B. R., Davin, S. A., Stilphen, M., Benzel, E., & Katzan, I. L. (2019) · Spine · doi:10.1097/brs.0000000000003232 · Cited by 40 · see citing works
Linking the Child Behavior Checklist to the Strengths and Difficulties Questionnaire.
Mansolf, M. A., Blackwell, C. K., Cummings, P., Choi, S., & Cella, D. F. (2021) · Psychological Assessment · doi:10.1037/pas0001083 · Cited by 40 · see citing works
Self-citation

Translating CESD-20 and PHQ-9 Scores to PROMIS Depression
Kim, J., Chung, H., Askew, R. L., Park, R., Jones, S. M. W., Cook, K. F., & Amtmann, D. (2015) · Assessment · doi:10.1177/1073191115607042 · Cited by 41 · see citing works
Self-citation
Selecting a depression measure for research: A critical examination of five common self-report scales
Perez, N., Sierra, P., Taylor, B., & Fletcher, J. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120542 · Cited by 6 · see citing works
Comparisons Across Depression Assessment Instruments in Adolescence and Young Adulthood: An Item Response Theory Study Using Two Linking Methods
Olino, T. M., Yu, L., McMakin, D. L., Forbes, E. E., Seeley, J. R., Lewinsohn, P. M., & Pilkonis, P. A. (2013) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-013-9756-6 · Cited by 52 · see citing works
Validation of the depression item bank from the Patient-Reported Outcomes Measurement Information System (PROMIS) in a three-month observational study
Pilkonis, P. A., Yu, L., Dodds, N. E., Johnston, K. L., Maihoefer, C. C., & Lawrence, S. M. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.05.010 · Cited by 423 · see citing works
Expanding a common metric for depression reporting: linking two scales to PROMIS® depression
Kaat, A. J., Newcomb, M. E., Ryan, D. T., & Mustanski, B. S. (2016) · Quality of Life Research · doi:10.1007/s11136-016-1450-z · Cited by 48 · see citing works

Authors: Choi, S. W., Schalet, B., Cook, K. F., & Cella, D.
Affiliations: Northwestern University (US)
ORCID: Choi, Seung W.
Schalet, Benjamin
Cook, Karon F.
Cella, David
Venue: Psychological Assessment
Publisher: American Psychological Association (APA)
Published: 2014
Volume: 26
Issue: 2
Pages: 513-527
ISSN: 1040-3590 (ISSN-L)
1939-134X
DOI: 10.1037/a0035768
PMC: PMC5515387
OpenAlex: W2069518888
Cited by: 480
References: 74
Citations by year: 2026: 25 · 2025: 36 · 2024: 42 · 2023: 44 · 2022: 52 · 2021: 61 · 2020: 48 · 2019: 53 · 2018: 43 · 2017: 22 · 2016: 24 · 2015: 21 · 2014: 7 · 2013: 2
FWCI: 31.16
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Psychological Assessment (publishedVersion)
PubMed (publishedVersion)
Pure Amsterdam UMC (publishedVersion)
PubMed Central (acceptedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Funders: National Cancer (1RC4CA157236-01)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords: depressive symptoms, scale linking, Beck Depression Inventory-II, CES-D, PHQ-9, patient-reported outcomes, item response theory, equipercentile linking
MeSH terms: Depressive Disorder, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Psychometrics, Surveys and Questionnaires, Reproducibility of Results

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Self-check

Cites

Cited by

Related

Record

About these checks