Dataset Information

[Characteristic values and test statistical goodness of the Veterans RAND 12-Item Health Survey (VR-12) in patients with chronic pain : An evaluation based on the KEDOQ pain dataset].

ABSTRACT: The Veterans RAND 12-Item Health Survey (VR-12) was added to the German Pain Questionnaire (DSF) as a self-report measure of health-related quality of life in 2016, replacing the previously used SF-12, which required a license. Both measures have 12 items and include a physical component summary (PCS) and a mental component summary (MCS). Evaluations with a larger sample on characteristic values and on the test-statistical goodness of the VR-12 in patients with chronic pain are so far missing. Data on the VR-12 and other procedures of the DSF were evaluated from 11,644 patients from 31 centers participating in KEDOQ pain. The patients filled out the DSF before starting a pain therapy treatment. Change sensitivity was determined for 565 patients for whom the VR-12 was available from a follow-up questionnaire of the DSF several months after the initial survey.The reliability (Cronbach's alpha) of the PCS was r_tt = 0.78 and for the MCS r_tt = 0.84. The MCS had significant relationships with the depression, anxiety and stress scales (r = -0.51 to r = -0.72), and the PCS correlated more highly with areas of pain-related impairment (r = -0.48 to r = -0.52). Patients with higher pain chronicity, those with higher pain severity, and those with evidence of high psychological distress described significantly lower health-related quality of life in PCS and MCS. The effect size (ES) of change in terms of improvement in health-related quality of life was ES = 0.33 in the MCS and ES = 0.51 in the PCS.The results are in agreement with the findings of the SF-36 and SF-12 in patient collectives with chronic pain. In summary, they show that the VR-12 is an adequate substitute for the SF-12 in the German pain questionnaire.

SUBMITTER: Huppe M

PROVIDER: S-EPMC8956556 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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[Characteristic values and test statistical goodness of the Veterans RAND 12-Item Health Survey (VR-12) in patients with chronic pain : An evaluation based on the KEDOQ pain dataset].

Hüppe M M Schneider K K Casser H-R HR Knille A A Kohlmann T T Lindena G G Nagel B B Nelles J J Pfingsten M M Petzke F F

Schmerz (Berlin, Germany) 20210719 2

The Veterans RAND 12-Item Health Survey (VR-12) was added to the German Pain Questionnaire (DSF) as a self-report measure of health-related quality of life in 2016, replacing the previously used SF-12, which required a license. Both measures have 12 items and include a physical component summary (PCS) and a mental component summary (MCS). Evaluations with a larger sample on characteristic values and on the test-statistical goodness of the VR-12 in patients with chronic pain are so far missing. D ...[more]

PMID: 34279750

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Project description:BackgroundGlobal health measures represent an attractive option for researchers and clinicians seeking a brief snapshot of a patient's overall perspective on his or her health. Because scores on different global health measures are not comparable, comparative effectiveness research (CER) is challenging.ObjectiveTo establish a common reporting metric so that the physical and mental health scores on the Veterans RAND 12-Item Health Survey (VR-12 (©) ) can be converted into scores on the corresponding Patient Reported Outcomes Measurement Information System (PROMIS(®)) Global Health scores.DesignFollowing a single-sample linking design, participants from an Internet panel completed items from the PROMIS Global Health and VR-12 Health Survey. A common metric was created using analyses based on item response theory (IRT), producing score cross-walk tables for the mental and physical health components of each measure. The linking relationships were evaluated by calculating the standard deviation of differences between the observed and linked PROMIS scores and estimating confidence intervals by sample size.ParticipantsParticipants (N = 2025) were 49 % male and 73 % white; mean age was 46 years.Main measuresMental and physical health subscales of the PROMIS Global Health and the VR-12. The mean VR-12 physical component and mental component scores were 45.2 and 46.6, respectively; the mean PROMIS physical and mental health scores were 48.3 and 48.5, respectively.Key resultsWe found evidence that the combined set of VR-12 and PROMIS items were relatively unidimensional and that we could proceed with linking. Linking worked better between the physical health than mental health scores using VR-12 item responses (vs. linking based on algorithmic scores). For each of the cross-walks, users can minimize the impact of linking error with modest increases in sample sizes.ConclusionsVR-12 scores can be expressed on the PROMIS Global Health metric to facilitate the evaluation of treatment, including CER. Extending these results to other common measures of global health is encouraged.

Project description:BackgroundThe translated and culturally adapted German version of the Veterans Rand 36 Items Health Survey (VR-36), and its short form, the VR-12 counterpart, were validated in a German sample of orthopedic (n = 399) and psychosomatic (n = 292) inpatient rehabilitation patients.MethodsThe instruments were analyzed regarding their acceptance, distributional properties, validity, responsiveness and ability to discriminate between groups by age, sex and clinically specific groups. Eligible study participants completed the VR-36 (n = 169) and the VR-12 (n = 177). They also completed validated patient-reported outcome measures (PROs) including the Euroqol-5 Dimensions 5 Level (EQ-5D-5L); Depression, Anxiety and Stress Scale (DASS); Hannover Functional Abilities Questionnaire (HFAQ); and CDC Healthy Days. The VR-12 and the VR-36 were compared to the reference instruments MOS Short Form-12 Items Health Survey (SF-12) version 1.0 and MOS Short Form-36 Items Health Survey (SF-36) version 1.0, using percent of completed items, distributional properties, correlation patterns, distribution measures of known groups validity, and effect size measures.ResultsItem non-response varied between 1.8%/1.1% (SFVR-36/RESF-36) and 6.5%/8.6% (GHVR-36/GHSF-36). PCS was normally distributed (Kolmogorov-Smirnov tests: p > 0.05) with means, standard deviations and ranges very similar between SF-36 (37.5 ± 11.7 [13.8-66.1]) and VR-36 (38.5 ± 10.1 [11.7-67.8]), SF-12 (36.9 ± 10.9 [15.5-61.6]) and VR-12 (36.2 ± 11.5 [12.7-59.3]). MCS was not normally distributed with slightly differing means and ranges between the instruments (MCSVR-36: 36.2 ± 14.2 [12.9-66.6], MCSSF-36: 39.0 ± 15.6 [2.0-73.2], MCSVR-12: 37.2 ± 13.8 [8.4-70.2], MCSSF-12: 39.0 ± 12.3 [17.6-65.4]). Construct validity was established by comparing correlation patterns of the MCSVR and PCSVR with measures of physical and mental health. For both PCSVR and MCSVR there were moderate (≥ 0.3) to high (≥ 0.5) correlations with convergent (PCSVR: 0.55-0.76, MCSVR: 0.60-0.78) and small correlations (< 0.1) with divergent (PCSVR: < 0.12, MCSVR: < 0.16) self-report measures. Known-groups validity was demonstrated for both VR-12 and VR-36 (MCS and PCS) via comparisons of distribution parameters with significant higher mean PCS and MCS scores in both VR instruments found in younger patients with fewer sick days in the last year and a shorter duration of rehabilitation.ConclusionsThe psychometric analysis confirmed that the German VR is a valid and reliable instrument for use in orthopedic and psychosomatic rehabilitation. Yet further research is needed to evaluate its usefulness in other populations.

Project description:Purpose To identify risk factors for patient election to proceed with cartilage transplant after staging chondroplasty. Methods This study retrospective reviewed patients prospectively enrolled at the time of staging chondroplasty, with early election defined as patient decision to proceed to cartilage transplantation within 6 months of chondroplasty. Cox proportional hazards analysis was used to determine univariate predictors of conversion, and a predictive calculator, the Cartilage Early Return for Transplant score, was formulated using stepwise regression employing the Akaike information criterion. Receiver operator curves and the area under the curve were used to evaluate the predictive ability of the final model on the studied patient population. Results Sixty-five knees (63 patients) were evaluated, with an overall transplant election rate of 27.7% within 6 months after chondroplasty. Based on multivariate results, the final Akaike information criterion–driven Cartilage Early Return for Transplant score employed preoperative Knee Injury and Osteoarthritis Outcome Score Pain Score, Veterans Rand 12-Item Health Survey Physical Score, condylar involvement, and AMADEUS (Area Measurement And DEpth Underlying Structure) score to generate a 0- to 7-point risk-stratification system with a 3% early election to proceed to transplant risk in the 0- to 2-point score group, 33% risk in the 3- to 4-point group, and 79% risk in the 5+-point group (P < .01) and an overall AUC of 0.906 (P < .01). Conclusions Risk of early patient election to pursue cartilage transplantation after chondroplasty is closely and additively associated with preoperative AMADEUS grade, condylar involvement, Knee Injury and Osteoarthritis Outcome Score Pain Score, and Veterans Rand 12-Item Health Survey Physical Score. Clinical Relevance Understanding risk factors for conversion to cartilage transplantation may improve preoperative planning and counseling prior to staging chondroplasty.

Dataset Information

[Characteristic values and test statistical goodness of the Veterans RAND 12-Item Health Survey (VR-12) in patients with chronic pain : An evaluation based on the KEDOQ pain dataset].

Publications

[Characteristic values and test statistical goodness of the Veterans RAND 12-Item Health Survey (VR-12) in patients with chronic pain : An evaluation based on the KEDOQ pain dataset].

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