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      Cross-cultural adaptation and psychometric properties of the Kessler Scale of Psychological Distress to a traumatic brain injury population in Swahili and the Tanzanian Setting

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          Abstract

          Background

          To evaluate the psychometric properties of a Swahili version of the Kessler Psychological Distress scale in an injury population in Tanzania.

          Methods

          Swahili version of the Kessler Psychological Distress scale was developed by translation and back-translation by a panel of native speakers of both English and Swahili. The translated instruments were administered to a sample of Tanzanian adults from a traumatic brain injury registry. The content validity, construct validity, reliability, internal structure, and external reliability were analyzed using standard statistical methods.

          Results

          Both translated versions of the Kessler Psychological Distress scale were found to be reliable (>0.85) for all tested versions. Confirmatory factor analysis of one and two factor solution showed adequate results. Kessler Psychological Distress scale scores were strongly correlated to depression and quality of life (R>0.50).

          Conclusions

          This paper presents the first Swahili adaptations of the Kessler Psychological Distress scale as well as the first validation of these questionnaires in Tanzania. The instrument was found to have acceptable psychometric properties, resulting in a new useful tool for medical and social research in this setting.

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          Most cited references40

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            The PHQ-9: validity of a brief depression severity measure.

            While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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              The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

              L Radloff (1977)
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                Author and article information

                Contributors
                (+1) 9197979228 , jnv4@duke.edu
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                27 July 2018
                27 July 2018
                2018
                : 16
                : 147
                Affiliations
                [1 ]ISNI 0000000100241216, GRID grid.189509.c, Duke Emergency Medicine, , Duke University Medical Center, ; 8 Duke University Medical Center Greenspace, Durham, NC 27703 USA
                [2 ]ISNI 0000000419368956, GRID grid.168010.e, Department of Neurosurgery, , Stanford University, ; Palo Alto, California USA
                [3 ]ISNI 0000 0004 1936 7961, GRID grid.26009.3d, Duke Global Health Institute, , Duke University, ; Durham, North Carolina USA
                [4 ]GRID grid.441899.9, UniCesumar, ; Maringá, Paraná Brazil
                [5 ]Kilimanjaro Christian Medical Center, Moshi, Tanzania
                [6 ]Kilimanjaro Clinical Research Institute, Moshi, Tanzania
                [7 ]ISNI 0000 0004 1936 7961, GRID grid.26009.3d, Department of Neurosurgery, , Duke University, ; Durham, NC USA
                Author information
                http://orcid.org/0000-0001-7276-0402
                Article
                973
                10.1186/s12955-018-0973-0
                6062865
                30053816
                8b16ad6f-15f4-4f63-aa35-cab7dad2ff92
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 November 2017
                : 9 July 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000061, Fogarty International Center;
                Award ID: T84HA21123-02
                Award ID: K01TW010000
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                anxiety,scale validation,psychometrics,stress
                Health & Social care
                anxiety, scale validation, psychometrics, stress

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