Literature DB >> 27650367

Suicide risk linked with clinical consultation frequency, psychiatric diagnoses and psychotropic medication prescribing in a national study of primary-care patients.

K Windfuhr1, D While1, N Kapur1, D M Ashcroft2, E Kontopantelis3, M J Carr4, J Shaw1, L Appleby1, R T Webb4.   

Abstract

BACKGROUND: Little is known about the precursors of suicide risk among primary-care patients. This study aimed to examine suicide risk in relation to patterns of clinical consultation, psychotropic drug prescribing, and psychiatric diagnoses.
METHOD: Nested case-control study in the Clinical Practice Research Datalink (CPRD), England. Patients aged ⩾16 years who died by suicide during 2002-2011 (N = 2384) were matched on gender, age and practice with up to 20 living control patients (N = 46 899).
RESULTS: Risk was raised among non-consulting patients, and increased sharply with rising number of consultations in the preceding year [⩾12 consultations v. 1: unadjusted odds ratio (OR) 6.0, 95% confidence interval (CI) 4.9-7.3]. Markedly elevated risk was also associated with the prescribing of multiple psychotropic medication types (⩾5 types v. 0: OR 62.6, CI 44.3-88.4) and with having several psychiatric diagnoses (⩾4 diagnoses v. 0: OR 31.1, CI 19.3-50.1). Risk was also raised among patients living in more socially deprived localities. The confounding effect of multiple psychotropic drug types largely accounted for the rising risk gradient observed with increasing consultation frequency.
CONCLUSIONS: A greater proportion of patients with several psychiatric diagnoses, those prescribed multiple psychotropic medication types, and those who consult at very high frequency might be considered for referral to mental health services by their general practitioners. Non-consulters are also at increased risk, which suggests that conventional models of primary care may not be effective in meeting the needs of all people in the community experiencing major psychosocial difficulties.

Entities:  

Keywords:  Epidemiology; mental disease; primary care; psychosocial factors; suicide

Mesh:

Substances:

Year:  2016        PMID: 27650367     DOI: 10.1017/S0033291716001823

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  9 in total

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2.  Variation in patterns of health care before suicide: A population case-control study.

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Journal:  Prev Med       Date:  2019-08-07       Impact factor: 4.018

3.  Applying machine learning on health record data from general practitioners to predict suicidality.

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4.  The association between self-reported mental health, medication record and suicide risk: A population wide study.

Authors:  Ifeoma N Onyeka; Dermot O'Reilly; Aideen Maguire
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5.  The case for case-control studies in the field of suicide prevention.

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6.  Meta-analysis of the strength of exploratory suicide prediction models; from clinicians to computers.

Authors:  Michelle Corke; Katherine Mullin; Helena Angel-Scott; Shelley Xia; Matthew Large
Journal:  BJPsych Open       Date:  2021-01-07

7.  Risk factors for self-harm in people with epilepsy.

Authors:  Hayley C Gorton; Roger T Webb; W Owen Pickrell; Matthew J Carr; Darren M Ashcroft
Journal:  J Neurol       Date:  2018-10-24       Impact factor: 4.849

8.  How do the prevalence and relative risk of non-suicidal self-injury and suicidal thoughts vary across the population distribution of common mental distress (the p factor)? Observational analyses replicated in two independent UK cohorts of young people.

Authors:  Ela Polek; Sharon A S Neufeld; Paul Wilkinson; Ian Goodyer; Michelle St Clair; Gita Prabhu; Ray Dolan; Edward T Bullmore; Peter Fonagy; Jan Stochl; Peter B Jones
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9.  Living alone, loneliness and lack of emotional support as predictors of suicide and self-harm: A nine-year follow up of the UK Biobank cohort.

Authors:  Richard J Shaw; Breda Cullen; Nicholas Graham; Donald M Lyall; Daniel Mackay; Chukwudi Okolie; Robert Pearsall; Joey Ward; Ann John; Daniel J Smith
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  9 in total

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