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      Wellness of patients with chronic pain is not only about pain intensity

      research-article
      , MA 1 , , , PhD 1 , , PhD 1 , 2 , , MD, PhD 3 , 4
      Pain Practice
      John Wiley and Sons Inc.
      chronic pain, related conditions, secondary analysis, wellness

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          Abstract

          Objective

          Attaining good outcomes in the management of chronic pain remains a clinical challenge. This study aimed to investigate the relationships between – and the contribution of – pain and related conditions to the wellness of these patients.

          Design

          A secondary analysis of database of patients with chronic pain treated with medical cannabis (MC) to carry out a one‐year prospective follow‐up study was conducted. Questionnaires were completed before ( T 0), six ( T 6), and twelve ( T 12) months after MC initiation. Data included patients' demographics and questionnaires related to three latent factors: pain intensity measures, related conditions (catastrophizing, sleep disturbance, anxiety, and depression), and wellness parameters (quality‐of‐life, disability, subjective‐health‐state). Weighted average of the observed variables (WOBs) were calculated for each latent factor. Longitudinal structural equation modeling (SEM) and mediation analyses were performed to identify predictors and interrelations between the WOBs, respectively.

          Results

          Participants included 510 patients. All variables were significantly improved from T 0 to T 6 and T 12. SEM revealed that related conditions, and to a lesser extent pain, predicted wellness at T 0, T 6, and T 12 (related conditions: β 0 = 0.55, p < 0.001; β 6 = 0.54, p < 0.001; and β 12 = 0.51, p < 0.001; pain: β 0 = 0.42, p < 0.001; β 6 = 0.18, p < 0.001; and β 12 = 0.25, p < 0.001). Mediation analyses demonstrated that the effect of WOB‐related conditions was greater than WOB‐pain on wellness.

          Conclusion

          Wellness of patients with chronic pain can be determined not only by pain itself but even more so by the severity of related conditions. Thus, considering a broad spectrum of pain measures and related conditions seems relevant for improving the wellness of patients with chronic pain.

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          Most cited references77

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          A brief measure for assessing generalized anxiety disorder: the GAD-7.

          Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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            Comparative fit indexes in structural models.

            P. Bentler (1990)
            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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              Significance tests and goodness of fit in the analysis of covariance structures.

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                Author and article information

                Contributors
                tamarbr07@gmail.com
                Journal
                Pain Pract
                Pain Pract
                10.1111/(ISSN)1533-2500
                PAPR
                Pain Practice
                John Wiley and Sons Inc. (Hoboken )
                1530-7085
                1533-2500
                12 October 2022
                February 2023
                : 23
                : 2 ( doiID: 10.1111/papr.v23.2 )
                : 145-154
                Affiliations
                [ 1 ] The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Sciences University of Haifa Haifa Israel
                [ 2 ] Faculty of Biology Technion – Israel Institute of Technology Haifa Israel
                [ 3 ] Institute of Pain Medicine Rambam Health Care Campus Haifa Israel
                [ 4 ] Rappaport Faculty of Medicine Technion – Israel Institute of Technology Haifa Israel
                Author notes
                [*] [* ] Correspondence

                Tamar Gershoni, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.

                Email: tamarbr07@ 123456gmail.com

                Author information
                https://orcid.org/0000-0002-0083-5716
                Article
                PAPR13168 PPR-2022-0128.R2
                10.1111/papr.13168
                10092262
                36181347
                1e23d910-86cc-433b-8909-d9dbba41e22a
                © 2022 The Authors. Pain Practice published by Wiley Periodicals LLC on behalf of World Institute of Pain.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 07 September 2022
                : 15 March 2022
                : 14 September 2022
                Page count
                Figures: 4, Tables: 1, Pages: 10, Words: 6631
                Funding
                Funded by: Israeli Pain Association (IPA)
                Funded by: TEVA Pharmaceutical , doi 10.13039/100006259;
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:12.04.2023

                chronic pain,related conditions,secondary analysis,wellness

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