| Literature DB >> 36159914 |
Mary K Lam1, Lawrence T Lam2,3,4, Kerryn Butler-Henderson1, Jonathan King5, Tahnee Clark5, Peta Slocombe5, Katherine Dimarco5,6, Wendell Cockshaw1.
Abstract
Objective: Guidelines for the prescription of antidepressants for Depressive Disorders (DD) have been in place for a long time. However, there is a lack of systematic information on the prescribing behavior of antidepressants in evidence-based clinical practice in psychopharmacotherapy of depressive disorders. This may suggest a lack of implementation of clinical guidelines by clinicians. Existing literature mainly focuses on specific issues or medications. To provide general information on the prescribing behavior of antidepressants for depressive disorders, a systematic review of available studies since 2013 was conducted. Methods and materials: To ensure a structured and systematic approach for the literature search and subsequent review process, the PRISMA guidelines for systematic reviews were followed. Major medical and health and psychological databases were used for the literature search. These included Ebsco Host, OVID, PubMed, Science Direct, Scopus, and Web of Science. The online application "Covidence" was employed to manage the titles collected and the full articles retrieved from the initial literature search. Upon finalizing the list of selected studies, data extraction was then conducted using a build-in function of the Covidence platform with the required information pre-set on a template for data extraction. The extracted information was tabulated and summarized in a table.Entities:
Keywords: antidepressants; depressive disorder; prescribing behavior; psychopharmacotherapy; systematic review
Year: 2022 PMID: 36159914 PMCID: PMC9501861 DOI: 10.3389/fpsyt.2022.918040
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Summary of article characteristics.
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| Ahmad et al. ( | India | Review of medical records | 156 | Elderly and simple descriptive study |
| Ghosh and Roychaudhury ( | India | Prospective case series study with a convenience sample method. | 510 | Adults and polypharmacotherapy |
| Ball et al. ( | USA | A Secondary data analysis study | 5,012 | All ages and second-line treatment |
| Al Za'abi et al. ( | Oman | Review of medical records | NA | Adults and simple descriptive study |
| Zhang et al. ( | China | A Secondary data analysis study | 8,484 | Adults and change of prescription |
| Tripathi et al. ( | India | A cross-sectional study | 312 | Adults |
| Reardon and Creado ( | USA | A cross-sectional study | NA | Adults and special patient group-athletes |
| Jacob and Kostev ( | Germany | A Secondary data analysis study | 89,962 | Adults and no gender difference |
| Dold et al. ( | Mult-European countries | A cross-sectional study | 1,181 | Adults and polypharmacotherapy |
| Chee et al. ( | REAP project | A cross-sectional study | NA | Children/Adolescents, off-label prescription, and AD prescribed not for depression |
| Chattar et al. ( | India | A cross-sectional study | 284 | Adults and change of prescription |
| Treviño et al. ( | USA | A secondary data analysis study | 54,107 | Adults and correct dosage |
| McIntyre et al. ( | USA | A secondary data analysis study | 130,626 | Adults and treatment for sub-type of MDD |
| Massamba et al. ( | Canada | A longitudinal study | 263 | Elderly and adequate treatment |
| Chon et al. ( | Korea | Review of medical records | 2,190 | Children/adolescents and off-label prescription |
| Bose et al. ( | India | A cross-sectional study | 200 | Adults and off-label prescription |
| Dharni and Coates ( | Australia | Review of medical records | 189 | Children/adolescents and off-label prescription |
| Zhong et al. ( | REAP project | A Secondary data analysis study | 671 | Elderly and survey of psychiatrists |
| Gers et al. ( | Belgium | Observational case series study | 239 | Elderly and incorrect indication for prescription |
| Fata Nahas and Syed Sulaiman ( | Malaysia | Observational case series study | 119 | Adults and change of prescription pattern overtime |
| Bandoli et al. ( | USA | A Secondary data analysis study | 162 | Adults and special patient group—pregnant women |
| Verhaak et al. ( | The Netherlands | A secondary data analysis study | 326,025 | Adults, Long-term use, and bias in prescription |
| Vadiei and Bhattacharjee ( | USA | A secondary data analysis study | 262 | Adults, special patient group- with kidney diseases |
| Saito et al. ( | Japan | A cross-sectional study | 6,080 | Children/adolescents, reasons for prescription |
| Tayem et al. ( | Bahrain | A cross-sectional study | 226 | All ages and simple descriptive study |
| Lunghi et al. ( | Italy | Retrospective cohort study | 18,307 | All ages and long-term use |
| Lukmanji et al. ( | Canada | A secondary data analysis study | NA | Children/adolescent and trend of prescription |
| Heald et al. ( | UK | A secondary data analysis study | NA | All ages and change of prescription |
| Hadia et al. ( | India | Observational case series study | 37 | Adults and drug use problem |
| Chen et al. ( | Taiwan | A longitudinal study | 105 | Adults and patient classification based on prescription pattern |
| O'Neill et al. ( | Ireland | A longitudinal study | 817 | Elderly, long-term use, and bias in prescription |
| Mössinger and Kostev ( | Germany | A secondary data analysis study | 138,097 | Adults and age effect |
| Kamran et al. ( | Pakistan | Observational case series study | 302 | Adults and polypharmacotherapy |
| Hung et al. ( | Taiwan | A longitudinal study | 97 | Adults and first-line and second-line treatment |
| Hattab et al. ( | Palestine | A secondary data analysis study | 159 | Adults and polypharmacotherapy |
| Hashimoto et al. ( | Japan | Observational case series study | 1,238 | Adults and polypharmacotherapy |
| Hansen et al. ( | Norway | A secondary data analysis study | 49,967 | Adults and bias in prescription |
REAP project = 10 Asian/region countries including China, Hong Kong, India, Indonesia, Japan, South Korea, Malaysia, Singapore, Taiwan, and Thailand.
Figure 1PRISMA flow chart.