| Literature DB >> 26994436 |
Matthew J Carr1, Darren M Ashcroft2, Evangelos Kontopantelis3, David While4, Yvonne Awenat5, Jayne Cooper4, Carolyn Chew-Graham6, Nav Kapur7, Roger T Webb4.
Abstract
BACKGROUND: Little is known about the clinical management of patients in primary care following self-harm.Entities:
Keywords: Diagnoses; Medication; Primary care; Referrals; Self-harm
Mesh:
Substances:
Year: 2016 PMID: 26994436 PMCID: PMC4870375 DOI: 10.1016/j.jad.2016.03.013
Source DB: PubMed Journal: J Affect Disord ISSN: 0165-0327 Impact factor: 4.839
Cohort members’ demographic information.
| Total cohort size (N) | 47,970 | 20,325 | 27,645 | |
| Gender (%) | – | 42.4 | 57.6 | |
| Median age (IQR) | 30 (20,42) | 32 (22,43) | 28 (19,41) | |
| Number of patients ( | 6470 (13.5) | 3142 (15.5) | 3328 (12.0) | |
| Gender (row %) | – | 48.6 | 51.4 | |
| Median age (IQR) | 31 (21,42) | 34 (24,45) | 27 (19,39) | |
| Lost to follow-up ( | ||||
| Died from any cause | 2.1 | 3.8 | 0.9 | |
| Transferred out of practice | 9.3 | 9.7 | 9.0 | |
| Practice no longer contributing to CPRD | 2.1 | 1.9 | 2.2 | |
| Number of patients ( | 41,500 (86.5) | 17,183 (84.5) | 24,317 (88.0) | |
| Gender (row %) | – | 41.4 | 58.6 | |
| Median age (IQR) | 30 (20,42) | 31 (22,43) | 29 (19,42) | |
Mental health services referrals and psychotropic medication prescriptions during 1 year follow-up.
| % | % | ||||||
|---|---|---|---|---|---|---|---|
| 41,500 | 6,318 | 15.2 | 26,065 | 62.8 | |||
| 17,183 | 2,467 | 14.4 | 10,405 | 60.6 | |||
| Age | |||||||
| 15–24 | 5,925 | 813 | 13.7 | 2,397 | 40.5 | ||
| 25–34 | 3,898 | 586 | 15.0 | 2,485 | 63.8 | ||
| 35–44 | 3,702 | 557 | 15.1 | 2,698 | 72.9 | ||
| 45–54 | 2,374 | 337 | 14.2 | 1,818 | 76.6 | ||
| 55–64 | 1,284 | 174 | 13.6 | 1,007 | 78.4 | ||
| IMD quintile | |||||||
| 1 | 2,182 | 383 | 17.6 | 1,318 | 60.4 | ||
| 2 | 2,743 | 439 | 16.0 | 1,647 | 60.0 | ||
| 3 | 3,185 | 488 | 15.3 | 1,969 | 61.8 | ||
| 4 | 4,146 | 548 | 13.2 | 2,530 | 61.0 | ||
| 5 | 4,927 | 609 | 12.4 | 2,941 | 59.7 | ||
| 24,317 | 3,851 | 15.8 | 15,660 | 64.4 | |||
| Age | |||||||
| 15–24 | 10,368 | 1,557 | 15.0 | 4,364 | 42.1 | ||
| 25–34 | 4,348 | 780 | 17.9 | 3,293 | 75.7 | ||
| 35–44 | 4,957 | 841 | 17.0 | 4,069 | 82.1 | ||
| 45–54 | 3,255 | 497 | 15.3 | 2,754 | 84.6 | ||
| 55–64 | 1,389 | 176 | 12.7 | 1,180 | 85.0 | ||
| IMD quintile | |||||||
| 1 | 3,444 | 632 | 18.4 | 2,207 | 64.1 | ||
| 2 | 4,255 | 776 | 18.2 | 2,771 | 65.1 | ||
| 3 | 4,610 | 752 | 16.3 | 2,939 | 63.8 | ||
| 4 | 5,718 | 824 | 14.4 | 3,698 | 64.7 | ||
| 5 | 6,290 | 867 | 13.8 | 4,045 | 64.3 | ||
Patients that did not complete one year of follow-up were excluded
IMD quintile 1 denotes least deprived and quintile 5 most deprived
Fig. 1Percentage of patients referred to mental health services during the 1 year follow-up compared with number who self-harmed by deprivation quintile.
Fig. 2Venn diagram showing percentage values for patients with antecedent or new psychiatric diagnoses and with mental health service referrals or psychotropic drug prescriptions during the 1 year follow-up.
Psychotropic prescribing by type during 1 year follow-up.
| Typical antipsychotics | 2,292 | 5.5 | 773 | 4.5 | 1,519 | 6.3 |
| Atypical antipsychotics | 3,319 | 8.0 | 1,556 | 9.1 | 1,763 | 7.3 |
| Depot antipsychotics | 72 | 0.2 | 31 | 0.2 | 41 | 0.2 |
| Lithium and other mood stabilisers | 1,901 | 4.6 | 787 | 4.6 | 1,114 | 4.6 |
| SSRI antidepressants | 17,030 | 41.0 | 6,280 | 36.6 | 10,750 | 44.2 |
| Tricyclic antidepressants | 3,985 | 9.6 | 1,519 | 8.8 | 2,466 | 10.1 |
| Other antidepressants | 6,580 | 15.9 | 2,586 | 15.1 | 3,994 | 16.4 |
| Benzodiazepines | 7,637 | 18.4 | 3,139 | 18.3 | 4,498 | 18.5 |
| Opioid analgesics | 5,605 | 13.5 | 2,252 | 13.1 | 3,353 | 13.8 |
| Other anxiolytics and hypnotics | 5,592 | 13.5 | 2,201 | 12.8 | 3,391 | 13.9 |
| 26,065 | 62.8 | 10,405 | 60.6 | 15,660 | 64.4 | |
All analyses restricted to patients with at least one year of follow-up.
Fig. 3a. Temporal trends in the percentage of cohort members prescribed tricyclics, SSRIs and other antidepressants during the 1 year follow-up. 3b. Temporal trends in the percentage of cohort members prescribed particular types of SSRI antidepressants during the 1 year follow-up. Footnote: The x-axis values show the calendar year period when index self-harm episodes occurred. Each cohort member was followed up for 1 complete year. Thus, an individual born on 31st December 2012 was followed up to 31st December 2013, which was the final date of observation in our study.