scholarly journals Change in mental health symptoms in families with nonresponding children referred to inpatient family units

2018 ◽  
Vol 24 (1) ◽  
pp. 158-169
Author(s):  
Tormod Rimehaug

Aims: To examine changes in child mental health symptoms following inpatient family unit treatment after long-term unsuccessful treatment in community and child psychiatry outpatient services. Follow-up from referral and admission to 3 and 12 months. Methods: Standardized questionnaires measuring the child mental health symptoms and parental anxiety and depression converted to standardized scores and compared to each child’s clinical diagnosis. Results: Significant group mean improvement on almost all problem scales at the 3-month follow-up (T2) remaining through 12-month follow-up (T3) relative to admission (T1). Aggression showed the highest levels and largest improvements. Statistically significant improvements were widespread, whereas clinically significant improvements were found for some diagnostic groups on diagnosis-related problems and secondary problems. Improvement in child symptoms were partly correlated with improvement in parental anxiety symptoms. Implications: Even previously nonresponding children may benefit from broad tailored interventions including parents and the wider system. Development of systematic component approaches is needed.

2021 ◽  
pp. 000486742110653
Author(s):  
Elizabeth M Westrupp ◽  
Christopher J Greenwood ◽  
Matthew Fuller-Tyszkiewicz ◽  
Craig A Olsson ◽  
Emma Sciberras ◽  
...  

Objective: To control a second-wave COVID-19 outbreak, the state of Victoria in Australia experienced one of the world’s first long and strict lockdowns over July–October 2020, while the rest of Australia experienced ‘COVID-normal’ with minimal restrictions. We (1) investigate trajectories of parent/child mental health outcomes in Victoria vs non-Victoria and (2) identify baseline demographic, individual and COVID-19-related factors associated with mental health trajectories. Methods: Online community sample of 2004 Australian parents with rapid repeated assessment over 14 time-points over April 2020 to May 2021. Measures assessed parent mental health (Depression, Anxiety and Stress Scales-21), child depression symptoms (13-item Short Mood and Feelings Questionnaire) and child anxiety symptoms (four items from Brief Spence Children’s Anxiety Scale). Results: Mental health trajectories shadowed COVID-19 infection rates. Victorians reported a peak in mental health symptoms at the time of the second-wave lockdown compared to other states. Key baseline predictors, including parent and child loneliness (standardized regression coefficient [β] = 0.09–0.46), parent/child diagnoses (β = 0.07–0.21), couple conflict (β = 0.07–0.18) and COVID-19 stressors, such as worry/concern about COVID-19, illness and loss of job (β = 0.12–0.15), predicted elevated trajectories. Effects of predictors on parent and child mental health trajectories are illustrated in an online interactive app for readers ( https://lingtax.shinyapps.io/CPAS_trend/ ). Conclusion: Our findings provide evidence of worse trajectories of parent and child mental health symptoms at a time coinciding with a second COVID-19 outbreak involving strict lockdown in Victoria, compared to non-locked states in Australia. We identified several baseline factors that may be useful in detecting high-risk families who are likely to require additional support early on in future lockdowns.


PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0231593
Author(s):  
Caroline Gabrysch ◽  
Rosemarie Fritsch ◽  
Stefan Priebe ◽  
Adrian P. Mundt

2021 ◽  
Author(s):  
Kyle Possemato ◽  
Justina Wu ◽  
Carolyn Greene ◽  
Rex MacQueen ◽  
Daniel Blonigen ◽  
...  

BACKGROUND Electronic health (eHealth) tools have the potential to meet the mental health needs of individuals who have barriers to accessing in-person treatment. However, most users have less than optimal engagement with eHealth tools. Coaching from peer specialists may increase engagement with eHealth. OBJECTIVE This pilot study aimed to 1) test the feasibility and acceptability of a novel, completely automated online system to recruit, screen, enroll, assess, randomize and then deliver an intervention to a national sample of military veterans with unmet mental health needs, 2) investigate whether phone-based peer support increased usage of an online problem-solving training compared to self-directed use and 3) generate hypotheses about potential mechanisms of action for problem-solving and peer support for future full-scale research. METHODS Veterans (n=81) with unmet mental health needs were recruited via social media advertising and enrolled and randomized to self-directed use of an online problem-solving training called Moving Forward (n=28), peer supported Moving Forward (n=27), or a waitlist control (n=26) (ClinicalTrials.gov NCT03555435). Participants completed pre and post study measures (8 weeks later) of problem-solving skills and confidence as well as mental health symptoms. Satisfaction was assessed at post-treatment and objective use of Moving Forward was measured with number of log-ins. RESULTS Automated recruitment, enrollment and initial assessment methods were feasible and resulted in a diverse sample of veterans with unmet mental health needs from 38 states. Automated follow-up methods resulted in 46% retention. Peer support was delivered with high fidelity and was associated with favorable patient satisfaction. Participants randomized to receive peer support had significantly more Moving Forward logins than self-directed Moving Forward participants, and those who received peer support had greater decreases in depression. Problem-solving confidence was associated with greater Moving Forward use and improvements in mental health symptoms among participants both with and without peer support. CONCLUSIONS Enrolling and assessing individuals in eHealth studies without human contact is feasible, but different methods or designs are necessary to achieve acceptable participant engagement and follow-up rates. Peer support shows potential for increasing engagement in online interventions and in reducing symptoms. Future research should investigate when and for whom peer support of eHealth is helpful. Problem-solving confidence should be further investigated as a mechanism of action for online problem-solving training. CLINICALTRIAL ClinicalTrials.gov NCT03555435


2020 ◽  
pp. 1-8
Author(s):  
Sherry Kit Wa Chan ◽  
Kaspar Kit Wai Lee ◽  
Veronica Hei Yan Chan ◽  
Herbert H. Pang ◽  
Corine Sau Man Wong ◽  
...  

Abstract Background The relationship between the subtypes of psychotic experiences (PEs) and common mental health symptoms remains unclear. The current study aims to establish the 12-month prevalence of PEs in a representative sample of community-dwelling Chinese population in Hong Kong and explore the relationship of types of PEs and common mental health symptoms. Method This is a population-based two-phase household survey of Chinese population in Hong Kong aged 16–75 (N = 5719) conducted between 2010 and 2013 and a 2-year follow-up study of PEs positive subjects (N = 152). PEs were measured with Psychosis Screening Questionnaire (PSQ) and subjects who endorsed any item on the PSQ without a clinical diagnosis of psychotic disorder were considered as PE-positive. Types of PEs were characterized using a number of PEs (single v. multiple) and latent class analysis. All PE-positive subjects were assessed with common mental health symptoms and suicidal ideations at baseline and 2-year follow-up. PE status was also assessed at 2-year follow-up. Results The 12-month prevalence of PEs in Hong Kong was 2.7% with 21.1% had multiple PEs. Three latent classes of PEs were identified: hallucination, paranoia and mixed. Multiple PEs and hallucination latent class of PEs were associated with higher levels of common mental health symptoms. PE persistent rate at 2-year follow-up was 15.1%. Multiple PEs was associated with poorer mental health at 2-year follow-up. Conclusions Results highlighted the transient and heterogeneous nature of PEs, and that multiple PEs and hallucination subtype of PEs may be specific indices of poorer common mental health.


PLoS ONE ◽  
2014 ◽  
Vol 9 (7) ◽  
pp. e103080 ◽  
Author(s):  
Matthew K. Vendlinski ◽  
Kristin N. Javaras ◽  
Carol A. Van Hulle ◽  
Kathryn Lemery-Chalfant ◽  
Rose Maier ◽  
...  

2021 ◽  
Author(s):  
Elizabeth Westrupp ◽  
Christopher Greenwood ◽  
Matthew Fuller-Tyszkiewicz ◽  
Tomer S Berkowitz ◽  
George Joseph Youssef ◽  
...  

Objective: To control a second-wave COVID-19 outbreak, the state of Victoria in Australia experienced one of the world’s first long and strict lockdowns over July-October 2020, while the rest of Australia experienced ‘COVID-normal’ with minimal restrictions. We (1) investigate trajectories of parent/child mental health outcomes; and (2) identify baseline demographic, individual, and COVID-19-related factors associated with mental health trajectories. Method: Online community sample of 1,877 Australian parents with rapid repeated assessment over 10 time-points over April-October, 2020. Measures assessed parent mental health (Depression, Anxiety and Stress Scales-21); child depression symptoms (13-item Short Mood and Feelings Questionnaire); and child anxiety symptoms (four-items from Brief Spence Children’s Anxiety Scale).Results: Mental health trajectories shadowed COVID-19 infection rates. Victorians reported a large peak in mental health symptoms at the time of the second-wave lockdown compared to other states. Key baseline predictors, including parent and child loneliness (standardized regression coefficient [β]=·09-·39), parent/child diagnoses (β=·11-·22), couple conflict (β=·09-·19), and COVID-19 stressors, such as worry/concern about COVID-19, illness, and loss of job (β=·07-·22), predicted elevated trajectories. Effects of predictors on parent and child mental health trajectories are illustrated in an online interactive app for readers (https://lingtax.shinyapps.io/CPAS_trend/).Conclusion: Our findings provide evidence of worse trajectories of parent and child mental health symptoms associated with strict, sustained, COVID-19 lockdown in Victoria, compared to non-locked states in the rest of Australia. We identified several baseline factors that may be useful in detecting high risk families who are likely to require additional support early on in future lockdowns.


2001 ◽  
Vol 179 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Marilyn J. Essex ◽  
Marjorie H. Klein ◽  
Richard Miech ◽  
Nancy A. Smider

BackgroundLittle is known about the influence on child mental health symptoms of the timing of initial exposure to maternal major depression or whether the timing is associated with ‘pure’ or co-occurring internalising and externalising symptoms.AimsTo address these issues, while also taking account of child gender and family socio-economic status.MethodIn a prospective community-based study, 421 kindergarten teachers rated children's symptoms. Previous assessments of maternal major depression indicated whether children were first exposed during infancy, in the toddler/pre-school period, or never.ResultsExposure during infancy was associated with high internalising symptoms, especially when co-occurring with high externalising symptoms. Initial exposure in the toddler/pre-school years increased the risk of ‘pure’ externalising symptoms among girls.ConclusionsThe association of child mental health symptoms with the timing of initial exposure to maternal depression highlights the need for effective prevention and intervention strategies addressed to the developmental issues of each period.


PLoS Medicine ◽  
2021 ◽  
Vol 18 (9) ◽  
pp. e1003778
Author(s):  
Kanika Malik ◽  
Daniel Michelson ◽  
Aoife M. Doyle ◽  
Helen A. Weiss ◽  
Giulia Greco ◽  
...  

Background Psychosocial interventions for adolescent mental health problems are effective, but evidence on their longer-term outcomes is scarce, especially in low-resource settings. We report on the 12-month sustained effectiveness and costs of scaling up a lay counselor–delivered, transdiagnostic problem-solving intervention for common adolescent mental health problems in low-income schools in New Delhi, India. Methods and findings Participants in the original trial were 250 school-going adolescents (mean [M] age = 15.61 years, standard deviation [SD] = 1.68), including 174 (69.6%) who identified as male. Participants were recruited from 6 government schools over a period of 4 months (August 20 to December 14, 2018) and were selected on the basis of elevated mental health symptoms and distress/functional impairment. A 2-arm, randomized controlled trial design was used to examine the effectiveness of a lay counselor–delivered, problem-solving intervention (4 to 5 sessions over 3 weeks) with supporting printed booklets (intervention arm) in comparison with problem solving delivered via printed booklets alone (control arm), at the original endpoints of 6 and 12 weeks. The protocol was modified, as per the recommendation of the Trial Steering Committee, to include a post hoc extension of the follow-up period to 12 months. Primary outcomes were adolescent-reported psychosocial problems (Youth Top Problems [YTP]) and mental health symptoms (Strengths and Difficulties Questionnaire [SDQ] Total Difficulties scale). Other self-reported outcomes included SDQ subscales, perceived stress, well-being, and remission. The sustained effects of the intervention were estimated at the 12-month endpoint and over 12 months (the latter assumed a constant effect across 3 follow-up points) using a linear mixed model for repeated measures and involving complete case analysis. Sensitivity analyses examined the effect of missing data using multiple imputations. Costs were estimated for delivering the intervention during the trial and from modeling a scale-up scenario, using a retrospective ingredients approach. Out of the 250 original trial participants, 176 (70.4%) adolescents participated in the 12-month follow-up assessment. One adverse event was identified during follow-up and deemed unrelated to the intervention. Evidence was found for intervention effects on both SDQ Total Difficulties and YTP at 12 months (YTP: adjusted mean difference [AMD] = −0.75, 95% confidence interval [CI] = −1.47, −0.03, p = 0.04; SDQ Total Difficulties: AMD = −1.73, 95% CI = −3.47, 0.02, p = 0.05), with stronger effects over 12 months (YTP: AMD = −0.98, 95% CI = −1.51, −0.45, p < 0.001; SDQ Total Difficulties: AMD = −1.23, 95% CI = −2.37, −0.09; p = 0.03). There was also evidence for intervention effects on internalizing symptoms, impairment, perceived stress, and well-being over 12 months. The intervention effect was stable for most outcomes on sensitivity analyses adjusting for missing data; however, for SDQ Total Difficulties and impairment, the effect was slightly attenuated. The per-student cost of delivering the intervention during the trial was $3 United States dollars (USD; or $158 USD per case) and for scaling up the intervention in the modeled scenario was $4 USD (or $23 USD per case). The scaling up cost accounted for 0.4% of the per-student school budget in New Delhi. The main limitations of the study’s methodology were the lack of sample size calculations powered for 12-month follow-up and the absence of cost-effectiveness analyses using the primary outcomes. Conclusions In this study, we observed that a lay counselor–delivered, brief transdiagnostic problem-solving intervention had sustained effects on psychosocial problems and mental health symptoms over the 12-month follow-up period. Scaling up this resource-efficient intervention is an affordable policy goal for improving adolescents’ access to mental health care in low-resource settings. The findings need to be interpreted with caution, as this study was a post hoc extension, and thus, the sample size calculations did not take into account the relatively high attrition rate observed during the long-term follow-up. Trial registration ClinicalTrials.gov NCT03630471.


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