scholarly journals Mental Health Screening in General Practices as a Means for Enhancing Uptake of Digital Mental Health Interventions: An Observational Cohort Study (Preprint)

10.2196/28369 ◽  
2021 ◽  
Author(s):  
Alexis Estelle Whitton ◽  
Rebecca Hardy ◽  
Kate Cope ◽  
Chilin Gieng ◽  
Leanne Gow ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Health Screening ◽  
Mental Health Screening ◽  
Observational Cohort Study ◽  
Health Interventions ◽  
Mental Health Interventions ◽  
Observational Cohort ◽  
General Practices

Mental Health Screening in General Practices as a Means for Enhancing Uptake of Digital Mental Health Interventions: An Observational Cohort Study (Preprint)

2021 ◽  
Author(s):  
Alexis Estelle Whitton ◽  
Rebecca Hardy ◽  
Kate Cope ◽  
Chilin Gieng ◽  
Leanne Gow ◽  
...  
Keyword(s):  
Mental Health ◽  
Critical Role ◽  
Health Screening ◽  
Mental Health Screening ◽  
Health Interventions ◽  
Treatment Recommendation ◽  
Digital Interventions ◽  
Digital Intervention ◽  
Mental Health Interventions ◽  
General Practices

BACKGROUND Digital mental health interventions will play a critical role in managing the mental health impacts of the COVID-19 pandemic. Thus, enhancing their uptake is a key priority. General Practitioners (GPs) are well-positioned to facilitate access to digital interventions, but tools that assist GPs in identifying suitable patients are lacking. OBJECTIVE This study evaluated the effectiveness of a web-based mental health screening and treatment-recommendation tool (‘StepCare’) for improving the detection of anxiety and depression in general practice, and subsequently, uptake of digital mental health interventions. METHODS StepCare screens patients for symptoms of depression (PHQ-9) and anxiety (GAD-7) in the GP waiting room. It provides GPs with stepped treatment recommendations that include digital mental health interventions for mild-to-moderate symptoms. Patients (n=5,138) from 85 general practices across Australia were invited to take part in screening. RESULTS Depression and/or anxiety was detected in 43.1% of patients screened (one quarter were previously undiagnosed/untreated). The majority (89.5%) of previously undiagnosed/untreated patients had mild-to-moderate symptoms and were candidates for digital mental health interventions. Although less than half were prescribed a digital intervention by their GP, when a digital intervention was prescribed, over two thirds of patients used it. CONCLUSIONS Implementing mental health screening in general practices can increase patient access to digital mental health interventions. Although GPs prescribed digital interventions less frequently than in-person psychotherapy or medication, the promising rates of uptake by GP-referred patients suggests that GPs can play a critical role in championing digital interventions and maximising the associated benefits.

scholarly journals Initiation and cessation of mental healthcare after mental health screening in primary care: a prospective cohort study

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Christine Geyti ◽  
Else-Marie Dalsgaard ◽  
Annelli Sandbæk ◽  
Helle Terkildsen Maindal ◽  
Kaj Sparle Christensen
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Mental Healthcare ◽  
Health Screening ◽  
Mental Health Screening

Effectiveness of Mental Health Screening and Coordination of In-Theater Care Prior to Deployment to Iraq: A Cohort Study

2011 ◽  
Vol 168 (4) ◽  
pp. 378-385 ◽  
Author(s):  
Christopher H. Warner ◽  
George N. Appenzeller ◽  
Jessica R. Parker ◽  
Carolynn M. Warner ◽  
Charles W. Hoge
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Health Screening ◽  
Mental Health Screening

Post-fall reporting in aged acute inpatient mental health units: an 18-month observational cohort study

2017 ◽  
Vol 29 (12) ◽  
pp. 2007-2016
Author(s):  
Trentham Furness ◽  
George Mnatzaganian ◽  
Robyn Garlick ◽  
Susan Ireland ◽  
Brian McKenna ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Cohort Study ◽  
Fall Risk ◽  
Observational Cohort Study ◽  
Inpatient Mental Health ◽  
Fall Risk Factors ◽  
Mental Health Settings ◽  
Diagnosis Of Dementia ◽  
Observational Cohort

ABSTRACTBackground:Despite the high risk of falling for people with severe mental illness, there is limited falls research in mental health settings. Therefore, the objective of this observational cohort study was to conduct a focused post-fall review of fall episodes within aged acute inpatient mental health units at one of Australia's largest publicly funded mental health organizations.Methods:A post-fall reporting tool was developed to collect intrinsic and extrinsic fall risk factors among three aged acute mental health inpatient units over an 18-month period. Descriptive and inferential analyses were conducted to describe fall risk factors and predictors of fall risk.Results:There were a total of 115 falls, of which the tool was used for 93 (80.9%) episodes. Falls occurred most often in consumer's bedroom/bathroom and were unwitnessed. Intrinsic risk factors were most often attributed to postural drop and losing balance during walking. However, that was in contrast to consumer's who self-reported feeling dizzy as the reason of the fall.Conclusions:Based on the cohort, future falls could be reduced by targeting those aged above 82 years, or with a diagnosis of dementia. Recurrent falls during admission could be reduced by targeting those with psychotic illness and males with a diagnosis of dementia. A clearer dialogue among consumers and clinical staff reporting about fall episodes may support future remedial interventions and inform programs to reduce fall risk and assist the challenge of describing unwitnessed falls in aged acute inpatient mental health settings.

scholarly journals Poorer mental health and sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum: an observational cohort study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Grace M. Betts ◽  
Leah M. Lipsky ◽  
Chelsie D. Temmen ◽  
Anna Maria Siega-Riz ◽  
Myles S. Faith ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Depression Scale ◽  
Observational Cohort Study ◽  
Pregnancy And Postpartum ◽  
Hedonic Hunger ◽  
Observational Cohort

Abstract Background Depression, stress, and poor-quality sleep are common during pregnancy and postpartum, but the relationship of these factors with reward-related eating is not well understood. This observational cohort study examines associations of depression, stress, and sleep quality with self-reported reward-related eating in pregnancy and postpartum. Methods Participants were enrolled at < 12 weeks gestation and followed through 1 year postpartum. Self-reported measures obtained at baseline and 23–31 weeks postpartum included the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, Pittsburgh Sleep Quality Index; reward-related eating measures included the Power of Food Scale (assessing hedonic hunger), modified Yale Food Addiction Scale (assessing addictive-like eating), and frequency and intensity of cravings. Linear and logistic regression models estimated associations of depressive symptoms, stress, and sleep quality with reward-related eating during pregnancy and postpartum, as well as change in each predictor with change in outcome. Results During pregnancy, greater depressive symptoms (β ± SE = 0.03 ± 0.01, p < .01), higher stress (0.03 ± 0.01, p < .01), and worse sleep quality (0.03 ± 0.01, p = 0.03) were associated with greater hedonic hunger. Similarly, greater depressive symptoms (OR = 1.08, 95% CI: 1.02, 1.14, p = .01), higher stress (OR = 1.09, 95% CI: 1.04, 1.14, p = <.01), and worse sleep quality (OR = 1.09, 95% CI: 1.00, 1.18, p = .04) were associated with greater odds of addictive-like eating. These associations were also significant in postpartum except that sleep quality was not associated with hedonic hunger. Greater depressive symptoms (β ± SE = 0.06 ± 0.02, p < .01; 0.08 ± 0.02, p = <.01), higher stress (0.04 ± 0.01, p < .01; 0.06 ± 0.02, p < .01), and worse sleep quality (0.11 ± 0.03, p < .01; 0.13 ± 0.03, p < .01) during pregnancy were associated with stronger and more frequent cravings, respectively. Increased depressive symptoms from pregnancy to postpartum was associated with increased hedonic hunger (β ± SE = 1.17 ± 0.57, p = 0.01) and addictive-like eating (0.88 ± 0.33, p = 0.01), and increased stress was associated with increased hedonic hunger (1.71 ± 0.76, p = 0.02). Change in stress was not associated with change in addictive-like eating and change in sleep quality was not associated with change in either hedonic hunger or addictive-like eating. Conclusions Greater depressive symptoms, perceived stress, and poorer sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum, suggesting that efforts to improve diet during and after pregnancy may benefit from addressing mental health and sleep. Trial registration Clinicaltrials.gov Registration ID – NCT02217462. Date of registration – August 13, 2014

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