| Literature DB >> 19833707 |
Michael Moore1, Ho Ming Yuen, Nick Dunn, Mark A Mullee, Joe Maskell, Tony Kendrick.
Abstract
OBJECTIVE: To explore the reasons behind the recent increase in antidepressant prescribing in the United Kingdom. Design Detailed retrospective analysis of data on general practitioner consultations and antidepressant prescribing. Data source Data were obtained from the general practice research database, which contains linked anonymised records of over 3 million patients registered in the UK. Data were extracted for all new incident cases of depression between 1993 and 2005. Review methods Detailed analysis of general practitioner consultations and antidepressant prescribing was restricted to 170 practices that were contributing data for the full duration of the study.Entities:
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Year: 2009 PMID: 19833707 PMCID: PMC2762496 DOI: 10.1136/bmj.b3999
Source DB: PubMed Journal: BMJ ISSN: 0959-8138

Fig 1 Incidence of first event of depression per 1000 patient years in the 170 stable practices

Fig 2 Rate of diagnosis of first episode of depression per 1000 patient years by age in male patients

Fig 3 Rate of diagnosis of first episode of depression per 1000 patient years by age in female patients

Fig 4 Changes in the proportions of patients receiving prescriptions for a particular duration

Fig 5 Proportion of incident cases in each of the treatment pattern groups

Fig 6 Mean number of prescriptions received over the five year period following diagnosis for each of the five treatment pattern groups
Antidepressant prescription days over five years from first diagnosis for the five treatment pattern groups
| Treatment pattern group | Total number of patients | Five year follow-up from year of first diagnosis | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1993-1997 | 1994-1998 | 1995-1999 | 1996-2000 | 1997-2001 | 1998-2002 | 1999-2003 | 2000-2004 | 2001-2005 | ||
| Number of prescription days | Number of prescription days | Number of prescription days | Number of prescription days | Number of prescription days | Number of prescription days | Number of prescription days | Number of prescription days | Number of prescription days | ||
| Chronic | 13 783 | 1 239 600 (43.0%) | 1 379 889 (42.6%) | 1 493 335 (43.4%) | 1 613 051 (43.6%) | 1 783 114 (45.4%) | 1 879 298 (45.4%) | 1 927 921 (45.1%) | 1 929 204 (44.1%) | 1 868 183 (43.2%) |
| Intermittent | 51 922 | 1 330 277 (46.2%) | 1 518 176 (46.8%) | 1 592 064 (46.3%) | 1 704 929 (46.1%) | 1 770 729 (45.1%) | 1 855 608 (44.8%) | 1 946 506 (45.6%) | 1 998 799 (45.7%) | 2 042 076 (47.2%) |
| Short term | 47 761 | 271 405 (9.4%) | 289 552 (8.9%) | 313 591 (9.1%) | 330 177 (8.9%) | 314 794 (8.0%) | 333 402 (8.1%) | 337 862 (7.9%) | 350 289 (8.0%) | 350 149 (8.1%) |
| Delayed | 1683 | 40 959 (1.4%) | 54 578 (1.7%) | 42 693 (1.2%) | 52 321 (1.4%) | 59 947 (1.5%) | 70 471 (1.7%) | 58 447 (1.4%) | 92 548 (2.1%) | 65 502 (1.5%) |
| None | 26 613 | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Total | 141 762 | 2 882 241 | 3 242 196 | 3 441 682 | 3 700 477 | 3 928 584 | 4 138 779 | 4 270 736 | 4 370 839 | 4 325 910 |

Fig 7 Total number of antidepressant prescription days over five years from first diagnosis for the five treatment pattern groups