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  • 1
    Online Resource
    Online Resource
    Twelve-Month and Lifetime Prevalence of Mental Disorders in Cancer Patients
    S. Karger AG ; 2016
    In:  Psychotherapy and Psychosomatics Vol. 85, No. 5 ( 2016), p. 289-296
    Details
    In: Psychotherapy and Psychosomatics, S. Karger AG, Vol. 85, No. 5 ( 2016), p. 289-296
    Abstract: 〈 b 〉 〈 i 〉 Background: 〈 /i 〉 〈 /b 〉 Psychological problems are common in cancer patients. For the purpose of planning psycho-oncological interventions and services tailored to the specific needs of different cancer patient populations, it is necessary to know to what extent psychological problems meet the criteria of mental disorders. The purpose of this study was to estimate the 12-month and lifetime prevalence rates of mental disorders in cancer patients. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 A representative sample of patients with different tumour entities and tumour stages (n = 2,141) in outpatient, inpatient and rehabilitation settings underwent the standardized computer-assisted Composite International Diagnostic Interview for mental disorders adapted for cancer patients (CIDI-O). 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 The overall 12-month prevalence for any mental disorder was 39.4% (95% CI: 37.3-41.5), that for anxiety disorders was 15.8% (95% CI: 14.4-17.4), 12.5% (95% CI: 11.3-14.0) for mood disorders, 9.5% (95% CI: 8.3-10.9) for somatoform disorders, 7.3% (95% CI: 6.2-8.5) for nicotine dependence, 3.7% (95% CI: 3.0-4.6) for disorders due to general medical condition, and 1.1% (95% CI: 0.7-1.6) for alcohol abuse or dependence. Lifetime prevalence for any mental disorder was 56.3% (95% CI 54.1-58.6), that for anxiety disorders was 24.1% (95% CI: 22.3-25.9), 20.5% (95% CI: 18.9-22.3) for mood disorders, 19.9% (95% CI: 18.3-21.7) for somatoform disorders, 18.2% (95% CI: 16.6-20.0) for nicotine dependence, 6.4% (95% CI: 5.4-7.6) for alcohol abuse or dependence, 4.6% (95% CI: 3.8-5.6) for disorders due to general medical condition, and 0.2% (95% CI: 0.1-0.6) for eating disorders. 〈 b 〉 〈 i 〉 Conclusions: 〈 /i 〉 〈 /b 〉 Mental disorders are highly prevalent in cancer patients, indicating the need for provision of continuous psycho-oncological support from inpatient to outpatient care, leading to an appropriate allocation of direct personnel and other resources.
    Type of Medium: Online Resource
    ISSN: 0033-3190 , 1423-0348
    URL: Article
    DOI: 10.1159/000446991
    RVK:
    CU 5500
    RVK:
    XA 10000
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2016
    detail.hit.zdb_id: 1472321-9
    SSG: 5,2
    SSG: 15,3
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis
    S. Karger AG ; 2020
    In:  Psychotherapy and Psychosomatics Vol. 89, No. 1 ( 2020), p. 25-37
    Details
    In: Psychotherapy and Psychosomatics, S. Karger AG, Vol. 89, No. 1 ( 2020), p. 25-37
    Abstract: 〈 b 〉 〈 i 〉 Background: 〈 /i 〉 〈 /b 〉 Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. 〈 b 〉 〈 i 〉 Objective: 〈 /i 〉 〈 /b 〉 To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 Data were included for 54 of 72 identified eligible studies ( 〈 i 〉 n 〈 /i 〉 participants = 16,688, 〈 i 〉 n 〈 /i 〉 cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22–0.24 lower compared to fully structured interviews and 0.06–0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82–0.92) and 0.86 (0.82–0.88). 〈 b 〉 〈 i 〉 Conclusions: 〈 /i 〉 〈 /b 〉 The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.
    Type of Medium: Online Resource
    ISSN: 0033-3190 , 1423-0348
    URL: Article
    DOI: 10.1159/000502294
    RVK:
    CU 5500
    RVK:
    XA 10000
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2020
    detail.hit.zdb_id: 1472321-9
    SSG: 5,2
    SSG: 15,3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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