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Prevalence and predictors of mental disorders in an injured Prevalence and predictors of mental disorders in an injured

Prevalence and predictors of mental disorders in an injured - PowerPoint Presentation

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Uploaded On 2016-08-04

Prevalence and predictors of mental disorders in an injured - PPT Presentation

centre population a crosssectional study Claire van der Westhuizen Dan J Stein Gail Wyatt John Williams Katherine Sorsdahl Presentation outline Introduction Why explore mental disorder in injured patients ID: 432671

disorder mental injured violence mental disorder violence injured patients disorders injury community trauma intentional witnessed injuries current high risk

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Slide1

Prevalence and predictors of mental disorders in an injured emergency centre population: a cross-sectional study

Claire van der Westhuizen, Dan J. Stein, Gail Wyatt, John Williams, Katherine SorsdahlSlide2

Presentation outlineIntroduction: Why explore mental disorder in injured patients

?ObjectivesMethodsResults/discussionLimitationsConclusionSlide3

SA Burden of disease

Mental health

Injury

Risk factors

Interpersonal violence 6.5% of DALYs (no. 2)

Depression 2% of DALYs (no. 10)

InfluencesSlide4

Why explore mental disorder in injured EC patients?

What we know (HICs)Injured patients = at-risk group for mental disorder, especially intentional injuries (Dicker et al, 2011; O’Donnell et al, 2009)

EC patients ++ past trauma and community violence (Cunningham et al, 2006)Recurrent injury HIC (Sims et al, 1989; Worrell et al, 2006)What we don’t know (LMICs)

M

ental disorders in EC ??? (substance use only)

P

ast trauma and community violence???

Recurrent injuries??? Slide5

Why explore mental disorder in injured patients? - 2Slide6

Part of the pictureSlide7

ObjectivesTo determine the

prevalence of mental disorders in intentionally and unintentionally injured ambulant emergency centre patientsTo determine the sociodemographic, injury and psychological predictors of mental disorder in this groupSlide8

Methods - 1Sites:

Elsies River CHC and Khayelitsha HospitalN=200 injured patients, convenience sampleIntentional: assault injuriesUnintentional: included road traffic, burns, falls etcExclusion criteria: <18 years old, self-inflicted injuries, serious injury, unable to give informed consentSlide9

Methods - 2Sociodemographics

and injury/violence historyStructured psychiatric diagnostic interview (MINI)Trauma History Questionnaire (THQ)Analysis: Prevalence of mental disordersChi-square test: differences between intentionally injured and unintentionally injured groupsLogistic regression: predictors of mental disorderSlide10

Results: prevalence of mental disorders

Disorders

Intentional injury

Unintentional injury

Any mental disorder

82 (70%)

44 (54%)

30% (lifetime)

Current mental disorder

79

(67%)

40 (49%)

17% (12-month)

Current depression or

anxiety*

45

(38%)

22 (27%)

AOD dependence/abuse

59 (50%)

27 (33%)

6%

Mental disorder and AOD

39 (33%)

9 (11%)

*includes

suicidality

High risk group

South AfricaSlide11

Three logistic regression models

AOD and mental disorderSlide12

Current mental disorder

Variable

Yes (%)

Unadjusted OR (95% CI)

Adjusted OR (95% CI)

Age

18-25

38 (31.9)

1.00

1.00

25-40

51 (42.9)

0.844 (0.43-1.66)

0.721 (0.34-1.54)

>40

30 (25.2)

0.724 (0.34-1.53)

0.668 (0.3-1.51)

Gender

Male

82 (68.9)

1.00

1.00

Female

37 (31.1)

0.809 (0.45-1.47)

1.039 (0.52-2.08)

Employed

No

67 (56.3)

1.00

1.00

Yes

52 (43.7)

0.433 (0.24-0.77)*

0.526 (0.28-1)*

Injury presentation

Unintentional

40 (33.3)1.001.00Intentional79 (66.4)2.127 (1.19-3.79)*1.284 (0.65-2.54)# prev intentional injuries (med, range)1.571 (1.19-2.07)*

1.460 (1.08-1.98)*

Community violence (med, range)

1.155 (1.04-1.28)

Lifetime trauma (THQ)

 

 

None

15 (12.6)

1.00

1.00

1 to 10

44 (37)

0.933 (0.4-2.16)

0.945 (0.38-2.35)

11 to 20

28 (23.5)

2.010 (0.75-5.36)

1.667 (0.59-4.71)

> 20

32 (26.9)

2.987 (1.08-8.26

)*

1.655 (0.54-5.08

)Slide13

Logistic regression modelsSubstance use disorders: male, high levels of witnessed community violence

Comorbid substance and other mental disorder: high levels of witnessed community violenceSlide14

Findings

SimilarHigh frequencies of past trauma and witnessed community violence in this groupLinked to mental disordersDifferent

Recurrent intentional injury predicted current mental disorderCommunity violence plays a role in adult patients (mostly studied in adolescents)Witnessed community violence is a stronger predictor than cumulative trauma burdenSlide15

Limitations

Generalisable?Convenience samplingMental disorders under-sampledSelf-report, hospital dataSlide16

Conclusion - 1

Injured EC patients are an at-risk group:- mental disorder- lifetime trauma- witnessed violence

Slide17

Conclusion - 2Targeted psychosocial interventions

Injury prevention

Decrease mental health Rx gapSlide18

Conclusion - 3

Investigation and intervention required in many settings

EC research and interventionSlide19

Thank youStaff of

Elsies River and Khayelitsha facilitiesKatherine SorsdahlPhodiso programmeToday’s audience