| Autor: |
Heald, A., Stedman, M., Davies, M., Gadsby, R., Taylor, D. |
| Předmět: |
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| Zdroj: |
European Psychiatry; 2022 Special issue S1, Vol. 63, pS111-S112, 2p |
| Abstrakt: |
Introduction: In a previous paper we showed a strong relationship between annual use of anti-depressants and a wide number of local practice factors. One factor not considered was the variation of use within the year, the "seasonality", which may be a significant factor for local levels of shorter-term mood disorders. Objectives: Calculate an actual practice seasonality factor and see if it could be used to determine some of the variations in overall prescribing. Methods: Examine antidepressant prescribing each month over the 12 months in 2018_19 and observe particular links to agent or practices. The prescribing of anti-depressant was aggregated by converting all amounts to defined daily doses (DDD) using WHO/ATC values. Results: Included 6,781 practices with >2,000 patients total population 57 million, 70million prescriptions and 2billion DDD. Monthly variation in daily prescribing%of the annual average over the year in Total and main medications. Total seasonality and for each major agent as measured by highest month divided by lowest month. Fig.1 shows in total there is little variation, in Fig.2 Clomipramine which is used for SeasonalAffective Disorder was the only medication to show high seasonality Fig.3 shows seasonality factor for the sum of practices with different peak months, so shows that practice level seasonality at 35% is significant but the large variation in peak months reduces national average to 7%. Conclusions: The study shows significant seasonality in GP practice prescribing of anti-depressants. However as the peak months vary, incorporating this factor into forecasting overall prescribing level is complex, so more work is required to understand this variation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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