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Quality of Life Research
Erschienen in: Quality of Life Research 9/2020

28.04.2020 | Review

Global mapping of interventions to improve quality of life of patients with depression during 1990–2018

verfasst von: Bach Xuan Tran, Giang Hai Ha, Diep Ngoc Nguyen, Thao Phuong Nguyen, Hoa Thi Do, Carl A. Latkin, Cyrus S. H. Ho, Roger C. M. Ho

Erschienen in: Quality of Life Research | Ausgabe 9/2020

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Abstract

Purpose

The number of patients with depressive disordered globally increased and affects people of all ages and countries and has a significant and negative impact on the quality of life (QoL). Depression if left untreated may lead to severe consequences. However, there are several types of effective treatments, but often patients need support from health staff to find suitable treatments. This study aims to examine the global trend of the publications as well as the development of interventions for depressing treatment.

Methods

We download and analyzed 15,976 scientific research from the Web of Science from 1990 to 2018. A text mining based on Latent Dirichlet and terms’ co-occurrence in titles and abstracts to identify hidden research topics and research landscapes.

Results

We found that the number of papers related to non-pharmacological treatment (such as cognitive-behavioral, mindfulness, or family and social support) to improve the QoL of patients with depression has increased. The number of papers on this serious health issue in low–middle income countries (LMICs) was not as high as in high-income countries (HICs).

Conclusion

It is necessary to increase support of the treatment of depression in LMICs as well as applied non-pharmacological interventions to patients with depression.
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Literatur
1.
2.
Berrios, G. E. (1996). The history of mental symptoms: Descriptive psychopathology since the nineteenth century. Cambridge: Cambridge University Press.
3.
World Health Organization. (1993). The ICD-10 classification of mental and behavioural disorders: Diagnostic criteria for research (Vol. 2). Geneva, Switzerland: World Health Organization.
4.
Khoury, B., et al. (2013). Mindfulness-based therapy: A comprehensive meta-analysis. Clinical Psychology Review, 33(6), 763–771.PubMed
5.
McCarter, T. (2008). Depression overview. American Health & Drug Benefits, 1(3), 44–51.
6.
Marcus, M., et al. (2012). Depression: A global public health concern. World Health Organization Paper on Depression, 6–8.
7.
Ho, R. C. M., et al. (2018). (2018) Factors associated with the risk of developing coronary artery disease in medicated patients with major depressive disorder. International Journal of Environmental Research and Public Health, 15(10), 2073.PubMedCentral
8.
Vigo, D., Thornicroft, G., & Atun, R. (2016). Estimating the true global burden of mental illness. The Lancet Psychiatry, 3(2), 171–178.PubMed
9.
Bloom, D.E., et al. (2012). The global economic burden of noncommunicable diseases. Program on the Global Demography of Aging.
10.
11.
Ho, R. C., et al. (2013). The effect of severity of depressive disorder on economic burden in a university hospital in Singapore. Expert Review of Pharmacoeconomics & Outcomes Research, 13(4), 549–559.
12.
Feng, L., Yap, K. B., & Ng, T. P. (2013). Depressive symptoms in older adults with chronic kidney disease: Mortality, quality of life outcomes, and correlates. The American Journal of Geriatric Psychiatry, 21(6), 570–579.PubMed
13.
Ho, C. S., et al. (2014). Coexisting medical comorbidity and depression: Multiplicative effects on health outcomes in older adults. International Psychogeriatrics, 26(7), 1221–1229.PubMed
14.
Group, W. (1995). The World Health Organization quality of life assessment (WHOQOL): Position paper from the World Health Organization. Social Science & Medicine, 41(10), 1403–1409.
15.
Tan, S. H., et al. (2015). Determining the quality of life of depressed patients in Singapore through a multiple mediation framework. Asian Journal of Psychiatry, 18, 22–30.PubMed
16.
Schuch, F. B., et al. (2016). Exercise improves physical and psychological quality of life in people with depression: A meta-analysis including the evaluation of control group response. Psychiatry Research, 241, 47–54.PubMed
17.
Yang, W.-C., et al. (2017). Factors related to the improvement in quality of life for depressed inpatients treated with fluoxetine. BMC Psychiatry, 17(1), 309.PubMedPubMedCentral
18.
Dunner, D. L., et al. (2001). Improved health-related quality of life and reduced productivity loss after treatment with bupropion sustained release: A study in patients with major depression. Primary Care Companion to the Journal of Clinical Psychiatry, 3(1), 10.PubMedPubMedCentral
19.
Fu Keung Wong, D. (2008). Cognitive and health-related outcomes of group cognitive behavioural treatment for people with depressive symptoms in Hong Kong: Randomized wait-list control study. Australian & New Zealand Journal of Psychiatry, 42(8), 702–711.
20.
Hofmann, S. G., et al. (2017). Effect of treatments for depression on quality of life: A meta-analysis. Cognitive Behaviour Therapy, 46(4), 265–286.PubMedPubMedCentral
21.
Anderson, N., & Ozakinci, G. (2018). Effectiveness of psychological interventions to improve quality of life in people with long-term conditions: Rapid systematic review of randomised controlled trials. BMC Psychology, 6(1), 11–11.PubMedPubMedCentral
22.
Tran, B. X., et al. (2019). Indices of change, expectations, and popularity of biological treatments for major depressive disorder between 1988 and 2017: A scientometric analysis. International Journal of Environmental Research and Public Health, 16(13), 2255.PubMedCentral
23.
Bornmann, L., & Leydesdorff, L. (2014). Scientometrics in a changing research landscape: Bibliometrics has become an integral part of research quality evaluation and has been changing the practice of research. EMBO Reports, 15(12), 1228–1232.PubMedPubMedCentral
24.
Martín-Martín, A., Orduna-Malea, E., & Delgado López-Cózar, E. (2018). Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: A multidisciplinary comparison. Scientometrics, 116(3), 2175–2188.
25.
26.
Li, Y., et al. (2019). Leveraging latent Dirichlet allocation in processing free-text personal goals among patients undergoing bladder cancer surgery. Quality of Life Research, 28(6), 1441–1455.PubMedPubMedCentral
27.
Valle, D., et al. (2018). Extending the latent Dirichlet allocation model to presence/absence data: A case study on North American breeding birds and biogeographical shifts expected from climate change. Global Change Biology, 24(11), 5560–5572.PubMedPubMedCentral
28.
Chen, C., et al. (2017). Partial membership latent Dirichlet allocation for soft image segmentation. IEEE Transactions on Image Processing, 26(12), 5590–5602.PubMed
29.
Lu, H. M., Wei, C. P., & Hsiao, F. Y. (2016). Modeling healthcare data using multiple-channel latent Dirichlet allocation. Journal of Biomedical Informatics, 60, 210–223.PubMed
30.
Gross, A., & Murthy, D. (2014). Modeling virtual organizations with latent Dirichlet allocation: A case for natural language processing. Neural Networks, 58, 38–49.PubMed
31.
Schwarz, C. (2018). ldagibbs: A command for topic modeling in Stata using latent Dirichlet allocation. The Stata Journal, 18(1), 101–117.
32.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2002). Latent Dirichlet allocation. In Advances in neural information processing systems. Cambridge: MIT Press.
33.
Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84(4), 822.PubMed
34.
Asia, W. S.-E. (2017). Depression and suicide: Towards new paradigms in prevention and care. WHO South-East Asia Journal of Public Health, 6(1), 1–98.
35.
Choo, C. C., et al. (2019). Health-related quality of life in pediatric patients with leukemia in Singapore: A Cross-Sectional Pilot Study. International Journal of Environmental Research and Public Health, 16(12), 2069.PubMedCentral
36.
Ho, R. C., et al. (2011). Clinical and psychosocial factors associated with depression and anxiety in Singaporean patients with rheumatoid arthritis. International Journal of Rheumatology, 14(1), 37–47.
37.
Mak, A., et al. (2011). Damage accrual, cumulative glucocorticoid dose and depression predict anxiety in patients with systemic lupus erythematosus. Clinical Rheumatology, 30(6), 795–803.PubMed
38.
Loh, A. Z., et al. (2017). The global prevalence of anxiety and depressive symptoms among caregivers of stroke survivors. Journal of the American Medical Directors Association, 18(2), 111–116.PubMed
39.
Abraham, N., et al. (2019). A meta-analysis of the rates of suicide ideation, attempts and deaths in people with epilepsy. International Journal of Environmental Research and Public Health, 16(8), 1451.PubMedCentral
40.
Ho, R. C., & Mak, A. (2014). The interface between medicine and psychiatry: Neuropsychiatric aspects of systemic lupus erythematosus (SLE). Annals of the Academy of Medicine, Singapore, 43(8), 388–390.PubMed
41.
Musiat, P., & Tarrier, N. (2014). Collateral outcomes in e-mental health: A systematic review of the evidence for added benefits of computerized cognitive behavior therapy interventions for mental health. Psychological Medicine, 44(15), 3137–3150.PubMed
42.
Xiao, F., et al. (2017). Effectiveness of psychological interventions on depression in patients after breast cancer surgery: A meta-analysis of randomized controlled trials. Clinical Breast Cancer, 17(3), 171–179.PubMed
43.
Huang, L., et al. (2018). Is cognitive behavioral therapy a better choice for women with postnatal depression? A systematic review and meta-analysis. PLoS ONE, 13(10), e0205243.PubMedPubMedCentral
44.
Zhang, M. W., & Ho, R. C. (2017). Moodle: The cost effective solution for internet cognitive behavioral therapy (I-CBT) interventions. Technology and Health Care, 25(1), 163–165.PubMed
45.
Lu, Y., et al. (2017). Chronic administration of fluoxetine and pro-inflammatory cytokine change in a rat model of depression. PLoS ONE, 12(10), e0186700.PubMedPubMedCentral
46.
Bridges, L., & Sharma, M. (2017). The efficacy of yoga as a form of treatment for depression. Journal of Evidence-Based Complementary & Alternative Medicine, 22(4), 1017–1028.
47.
Burnett-Zeigler, I., et al. (2016). Mind-body approaches to treating mental health symptoms among disadvantaged populations: A comprehensive review. Journal of Alternative and Complementary Medicine (New York, N.Y.), 22(2), 115–124.
48.
Cramer, H., et al. (2013). Yoga for depression: A systematic review and meta-analysis. Depression and Anxiety, 30(11), 1068–1083.PubMed
49.
Pascoe, M. C., & Bauer, I. E. (2015). A systematic review of randomised control trials on the effects of yoga on stress measures and mood. Journal of Psychiatric Research, 68, 270–282.PubMed
50.
Ferguson, J. M. (2001). SSRI antidepressant medications: Adverse effects and tolerability. Primary Care Companion to the Journal of Clinical Psychiatry, 3(1), 22–27.PubMedPubMedCentral
51.
Zhang, M. W. B., & Ho, R. C. M. (2015). Ketamine’s potential as a rapid antidepressant was overplayed. BMJ: British Medical Journal, 351, 4467.
52.
Zhang, M., et al. (2014). Application of low-cost methodologies for mobile phone app development. JMIR Mhealth Uhealth, 2(4), e55.PubMedPubMedCentral
53.
Fealy, S., et al. (2019). The Support for New Mums Project: A protocol for a pilot randomized controlled trial designed to test a postnatal psychoeducation smartphone application. Journal of Advanced Nursing, 75(6), 1347–1359.PubMed
54.
Zhang, M. W., & Ho, R. C. (2017). Smartphone applications for immersive virtual reality therapy for internet addiction and internet gaming disorder. Technology and Health Care, 25(2), 367–372.PubMed
55.
Zhang, M. W., et al. (2016). The alcohol tracker application: An initial evaluation of user preferences. BMJ Innovations, 2(1), 8–13.PubMed
56.
Association, A. P. (2010). Treatment of patients with major depressive disorder. Practice guidelines. Washington, D.C.: AP Association.
57.
Patel, V., et al. (2009). Packages of care for depression in low- and middle-income countries. PLoS Medicne, 6(10), e1000159.
58.
Miller, G. (2006). Mental health in developing countries. The unseen: Mental illness's global toll. Science, 311(5760), 458–461.PubMed
59.
Robertson, E., Celacun, N., & Stewart, D. (2003). Maternal mental health & child health and development. Geneva: WHO.
60.
Pfeiffer, P. N., et al. (2011). Efficacy of peer support interventions for depression: A meta-analysis. General Hospital Psychiatry, 33(1), 29–36.PubMed
61.
Latif, S., et al. (2017). Mobile health in the developing world: review of literature and lessons from a case study. IEEE Access, 5, 11540–11556.
62.
Park, S. C., et al. (2014). Evidence-based, non-pharmacological treatment guideline for depression in Korea. Journal of Korean Medical Science, 29(1), 12–22.PubMed
63.
Won, E., & Park, S. C. (2014). Evidence-based, pharmacological treatment guideline for depression in Korea. Journal of Korean Medical Science, 29(4), 468–484.PubMedPubMedCentral
64.
Lepine, B. A., et al. (2012). Treatment-resistant depression increases health costs and resource utilization. Brazilian Journal of Psychiatry, 34, 379–388.PubMed
Metadaten
Titel
Global mapping of interventions to improve quality of life of patients with depression during 1990–2018
verfasst von
Bach Xuan Tran
Giang Hai Ha
Diep Ngoc Nguyen
Thao Phuong Nguyen
Hoa Thi Do
Carl A. Latkin
Cyrus S. H. Ho
Roger C. M. Ho
Publikationsdatum
28.04.2020
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 9/2020
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02512-7

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