A systematic review of community psychosocial group interventions for adults with intellectual disabilities and mental health conditions

Author(s):  
Jane Bourne ◽  
Toni Leigh Harrison ◽  
Sarah Wigham ◽  
Cindy‐Jo Morison ◽  
Simon Hackett
2018 ◽  
Vol 18 (5) ◽  
pp. 505-517 ◽  
Author(s):  
Jaya S. Khushalani ◽  
Jin Qin ◽  
John Cyrus ◽  
Natasha Buchanan Lunsford ◽  
Sun Hee Rim ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e023945 ◽  
Author(s):  
Ewelina Rydzewska ◽  
Laura Anne Hughes-McCormack ◽  
Christopher Gillberg ◽  
Angela Henderson ◽  
Cecilia MacIntyre ◽  
...  

ObjectivesTo investigate the prevalence of comorbid mental health conditions and physical disabilities in a whole country population of adults aged 25+ with and without reported autism.DesignSecondary analysis of Scotland’s Census, 2011 data. Cross-sectional study.SettingGeneral population.Participants94% of Scotland’s population, including 6649/3 746 584 adults aged 25+ reported to have autism.Main outcome measuresPrevalence of six comorbidities: deafness or partial hearing loss, blindness or partial sight loss, intellectual disabilities, mental health conditions, physical disability and other condition; ORs (95% CI) of autism predicting these comorbidities, adjusted for age and gender; and OR for age and gender in predicting comorbidities within the population with reported autism.ResultsComorbidities were common: deafness/hearing loss—17.5%; blindness/sight loss—12.1%; intellectual disabilities—29.4%; mental health conditions—33.0%; physical disability—30.7%; other condition—34.1%. Autism statistically predicted all of the conditions: OR 3.3 (95% CI 3.1 to 3.6) for deafness or partial hearing loss, OR 8.5 (95% CI 7.9 to 9.2) for blindness or partial sight loss, OR 94.6 (95% CI 89.4 to 100.0) for intellectual disabilities, OR 8.6 (95% CI 8.2 to 9.0) for mental health conditions, OR 6.2 (95% CI 5.8 to 6.6) for physical disability and OR 2.6 (95% CI 2.5 to 2.8) for other condition. Contrary to findings within the general population, female gender predicted all conditions within the population with reported autism, including intellectual disabilities (OR=1.4).ConclusionsClinicians need heightened awareness of comorbidities in adults with autism to improve detection and suitable care, especially given the added complexity of assessment in this population and the fact that hearing and visual impairments may cause additional difficulties with reciprocal communication which are also a feature of autism; hence posing further challenges in assessment.


BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e029040 ◽  
Author(s):  
Deborah Kinnear ◽  
Ewelina Rydzewska ◽  
Kirsty Dunn ◽  
Laura Anne Hughes-McCormack ◽  
Craig Melville ◽  
...  

ObjectivesTo determine the relative extent that autism and intellectual disabilities are independently associated with poor mental and general health, in children and adults.DesignCross-sectional study. For Scotland’s population, logistic regressions investigated odds of intellectual disabilities and autism predicting mental health conditions, and poor general health, adjusted for age and gender.Participants1 548 819 children/youth aged 0-24 years, and 3 746 584 adults aged more than 25 years, of whom 9396/1 548 819 children/youth had intellectual disabilities (0.6%), 25 063/1 548 819 children/youth had autism (1.6%); and 16 953/3 746 584 adults had intellectual disabilities (0.5%), 6649/3 746 584 adults had autism (0.2%). These figures are based on self-report.Main outcome measuresSelf-reported general health status and mental health.ResultsIn children/youth, intellectual disabilities (OR 7.04, 95% CI 6.30 to 7.87) and autism (OR 25.08, 95% CI 23.08 to 27.32) both independently predicted mental health conditions. In adults, intellectual disabilities (OR 3.50, 95% CI 3.20 to 3.84) and autism (OR 5.30, 95% CI 4.80 to 5.85) both independently predicted mental health conditions. In children/youth, intellectual disabilities (OR 18.34, 95% CI 17.17 to 19.58) and autism (OR 8.40, 95% CI 8.02 to 8.80) both independently predicted poor general health. In adults, intellectual disabilities (OR 7.54, 95% CI 7.02 to 8.10) and autism (OR 4.46, 95% CI 4.06 to 4.89) both independently predicted poor general health.ConclusionsBoth intellectual disabilities and autism independently predict poor health, intellectual disabilities more so for general health and autism more so for mental health. Intellectual disabilities and autism are not uncommon, and due to their associated poor health, sufficient services/supports are needed. This is not just due to coexistence of these conditions or just to having intellectual disabilities, as the population with autism is independently associated with substantial health inequalities compared with the general population, across the entire life course.


BJPsych Open ◽  
2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Supriya Misra ◽  
Anne Stevenson ◽  
Emily E. Haroz ◽  
Victoria de Menil ◽  
Karestan C. Koenen

Background The term ‘global mental health’ came to the fore in 2007, when the Lancet published a series by that name. Aims To review all peer-reviewed articles using the term ‘global mental health’ and determine the implicit priorities of scientific literature that self-identifies with this term. Method We conducted a systematic review to quantify all peer-reviewed articles using the English term ‘global mental health’ in their text published between 1 January 2007 and 31 December 2016, including by geographic regions and by mental health conditions. Results A total of 467 articles met criteria. Use of the term ‘global mental health’ increased from 12 articles in 2007 to 114 articles in 2016. For the 111 empirical studies (23.8% of articles), the majority (78.4%) took place in low- and middle-income countries (LMICs), with the most in Sub-Saharan Africa (28.4%) and South Asia (25.5%) and none from Central Asia. The most commonly studied mental health conditions were depression (29.7%), psychoses (12.6%) and conditions specifically related to stress (12.6%), with fewer studies on epilepsy (2.7%), self-harm and suicide (1.8%) and dementia (0.9%). The majority of studies lacked contextual information, including specific region(s) within countries where studies took place (20.7% missing), specific language(s) in which studies were conducted (36.9% missing), and details on ethnic identities such as ethnicity, caste and/or tribe (79.6% missing) and on socioeconomic status (85.4% missing). Conclusions Research identifying itself as ‘global mental health’ has focused predominantly on depression in LMICs and lacked contextual and sociodemographic data that limit interpretation and application of findings. Declaration of interest None.


2011 ◽  
Vol 14 (7) ◽  
pp. A239
Author(s):  
D. Papaioannou ◽  
T. Peasgood ◽  
J. Brazier ◽  
G. Parry

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0189904 ◽  
Author(s):  
Elizabeth Stratton ◽  
Amit Lampit ◽  
Isabella Choi ◽  
Rafael A. Calvo ◽  
Samuel B. Harvey ◽  
...  

BJPsych Open ◽  
2017 ◽  
Vol 3 (5) ◽  
pp. 243-248 ◽  
Author(s):  
Laura A. Hughes-McCormack ◽  
Ewelina Rydzewska ◽  
Angela Henderson ◽  
Cecilia MacIntyre ◽  
Julie Rintoul ◽  
...  

BackgroundThere are no previous whole-country studies on mental health and relationships with general health in intellectual disability populations; study results vary.AimsTo determine the prevalence of mental health conditions and relationships with general health in a total population with and without intellectual disabilities.MethodNinety-four per cent completed Scotland's Census 2011. Data on intellectual disabilities, mental health and general health were extracted, and the association between them was investigated.ResultsA total of 26 349/5 295 403 (0.5%) had intellectual disabilities. In total, 12.8% children, 23.4% adults and 27.2% older adults had mental health conditions compared with 0.3, 5.3 and 4.5% of the general population. Intellectual disabilities predicted mental health conditions; odds ratio (OR)=7.1 (95% CI 6.8–7.3). General health was substantially poorer and associated with mental health conditions; fair health OR=1.8 (95% CI 1.7–1.9), bad/very bad health OR=4.2 (95% CI 3.9–4.6).ConclusionsThese large-scale, whole-country study findings are important, given the previously stated lack of confidence in comparative prevalence results, and the need to plan services accordingly.


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