scholarly journals Effectiveness and impact of networked communication interventions in young people with mental health conditions: A rapid review

2018 ◽  
Vol 4 ◽  
pp. 205520761876220 ◽  
Author(s):  
Alice Verran ◽  
Ayesha Uddin ◽  
Rachel Court ◽  
Frances Taggart ◽  
Paul Sutcliffe ◽  
...  

Objective To describe the latest evidence of effectiveness and impact of networked communication interventions for young people with mental health conditions. Methods Searching five databases from 2009 onwards, we included studies of any design investigating two-way communication interventions for the treatment of young people (mean age 12–25) with a chronic mental health disorder. The data were synthesised using narrative summary. Results Six studies met the inclusion criteria, covering a range of mental health conditions (depression, psychosis, OCD). Interventions included an online chat room ( n = 2), videoconferencing ( n = 3) and telephone ( n = 1). Where studies compared two groups, equivalence or a statistically significant improvement in symptoms was observed compared to control. Views of patients and clinicians included impact on the patient-clinician interaction. Clinicians did not feel it hindered their diagnostic ability. Conclusion Networked communication technologies show promise in the treatment of young people with mental health problems but the current available evidence remains limited and the evidence base has not advanced much since the previous inception of this review in 2011. Practice implications Although the available research is generally positive, robust evidence relating to the provision of care for young persons via these technologies is lacking and healthcare providers should be mindful of this.

2016 ◽  
Author(s):  
Alastair G Canaway ◽  
Christopher J Sampson

Background. Interventions and services for people with mental health problems can have broad remits: they are often designed to treat people with a variety of diagnoses. Furthermore, addressing mental health problems can have long term implications for economic, social and health outcomes. This represents a challenge for economic evaluation, where long term trial data can be lacking. In this review we will seek to identify how analysts have sought to tackle this problem. We will review the methods used to extrapolate costs and outcomes for the purpose of economic evaluation, where long term trial data are not available. Methods/design. We will carry out a review of the medical and economic literature evaluating long-term costs and outcomes for mental health interventions and services designed to treat or prevent more than two mental health conditions. We will search the key health economic databases, including: OVID Medline, Embase, Psycinfo, CINAHL, and EconLit. The two authors will independently screen the returned results. Any discrepancies will be resolved by deliberation between the two authors. Key information will be extracted from the papers which successfully pass through the screening process. The findings will be highlighted through a narrative analysis and tabulated data. Discussion. This review will shed light on the existing methods used to model into the future when multiple mental health conditions are considered. The review will discuss the strengths and weakness within current methodologies, highlight existing flaws, and provide guidance for future economic evaluations of interventions targeting multiple mental health conditions.


2011 ◽  
Vol 85 (2) ◽  
pp. e108-e119 ◽  
Author(s):  
Steven Martin ◽  
Paul Sutcliffe ◽  
Frances Griffiths ◽  
Jackie Sturt ◽  
John Powell ◽  
...  

2016 ◽  
Author(s):  
Alastair G Canaway ◽  
Christopher J Sampson

Background. Interventions and services for people with mental health problems can have broad remits: they are often designed to treat people with a variety of diagnoses. Furthermore, addressing mental health problems can have long term implications for economic, social and health outcomes. This represents a challenge for economic evaluation, where long term trial data can be lacking. In this review we will seek to identify how analysts have sought to tackle this problem. We will review the methods used to extrapolate costs and outcomes for the purpose of economic evaluation, where long term trial data are not available. Methods/design. We will carry out a review of the medical and economic literature evaluating long-term costs and outcomes for mental health interventions and services designed to treat or prevent more than two mental health conditions. We will search the key health economic databases, including: OVID Medline, Embase, Psycinfo, CINAHL, and EconLit. The two authors will independently screen the returned results. Any discrepancies will be resolved by deliberation between the two authors. Key information will be extracted from the papers which successfully pass through the screening process. The findings will be highlighted through a narrative analysis and tabulated data. Discussion. This review will shed light on the existing methods used to model into the future when multiple mental health conditions are considered. The review will discuss the strengths and weakness within current methodologies, highlight existing flaws, and provide guidance for future economic evaluations of interventions targeting multiple mental health conditions.


2020 ◽  
Author(s):  
Steven Gillard ◽  
Ceri Dare ◽  
Jackie Hardy ◽  
Patrick Nyikavaranda ◽  
Rachel Rowan Olive ◽  
...  

AbstractPurposeResearch is beginning to quantify the impact of COVID-19 on people with pre-existing mental health conditions. Our paper addresses a lack of in-depth qualitative research exploring their experiences and perceptions of how life has changed at this time.MethodsWe used qualitative interviews (N=49) to explore experiences of the pandemic for people with pre-existing mental health conditions. In a participatory, coproduced approach, researchers with lived experiences of mental health conditions conducted interviews and analysed data as part of a multi-disciplinary research team.ResultsExisting mental health difficulties were exacerbated for many people. People experienced specific psychological impacts of the pandemic, struggles with social connectedness, and inadequate access to mental health services, while some found new ways to cope and connect to community. New remote ways to access mental health care, including digital solutions, provided continuity of care for some but presented substantial barriers for others. People from black and ethnic minority (BAME) communities experienced heightened anxiety, stigma and racism associated with the pandemic, further impacting their mental health.ConclusionThere is a need for evidence-based solutions to achieve accessible and effective mental health care in response to the pandemic, especially remote approaches to care. Further research should explore the long-term impacts of COVID-19 on people with pre-existing mental health conditions. Particular attention should be paid to understanding inequalities of impact on mental health, especially for people from BAME communities.


2016 ◽  
Vol 27 (4) ◽  
pp. 677-685 ◽  
Author(s):  
Breidge Boyle ◽  
Ester Garne ◽  
Maria Loane ◽  
Marie-Claude Addor ◽  
Larraitz Arriola ◽  
...  

AbstractObjectivesThe aim of this study was to describe the epidemiology of Ebstein’s anomaly in Europe and its association with maternal health and medication exposure during pregnancy.DesignWe carried out a descriptive epidemiological analysis of population-based data.SettingWe included data from 15 European Surveillance of Congenital Anomalies Congenital Anomaly Registries in 12 European countries, with a population of 5.6 million births during 1982–2011.ParticipantsCases included live births, fetal deaths from 20 weeks gestation, and terminations of pregnancy for fetal anomaly.Main outcome measuresWe estimated total prevalence per 10,000 births. Odds ratios for exposure to maternal illnesses/medications in the first trimester of pregnancy were calculated by comparing Ebstein’s anomaly cases with cardiac and non-cardiac malformed controls, excluding cases with genetic syndromes and adjusting for time period and country.ResultsIn total, 264 Ebstein’s anomaly cases were recorded; 81% were live births, 2% of which were diagnosed after the 1st year of life; 54% of cases with Ebstein’s anomaly or a co-existing congenital anomaly were prenatally diagnosed. Total prevalence rose over time from 0.29 (95% confidence interval (CI) 0.20–0.41) to 0.48 (95% CI 0.40–0.57) (p<0.01). In all, nine cases were exposed to maternal mental health conditions/medications (adjusted odds ratio (adjOR) 2.64, 95% CI 1.33–5.21) compared with cardiac controls. Cases were more likely to be exposed to maternal β-thalassemia (adjOR 10.5, 95% CI 3.13–35.3, n=3) and haemorrhage in early pregnancy (adjOR 1.77, 95% CI 0.93–3.38, n=11) compared with cardiac controls.ConclusionsThe increasing prevalence of Ebstein’s anomaly may be related to better and earlier diagnosis. Our data suggest that Ebstein’s anomaly is associated with maternal mental health problems generally rather than lithium or benzodiazepines specifically; therefore, changing or stopping medications may not be preventative. We found new associations requiring confirmation.


2021 ◽  
Author(s):  
Prisha Shah ◽  
Jackie Hardy ◽  
Mary Birken ◽  
Una Foye ◽  
Rachel Rowan Olive ◽  
...  

Purpose: We sought to understand how the experiences of people in the UK with pre-existing mental health conditions had developed during the course of the COVID-19 pandemic. Methods: In September-October 2020 we interviewed adults with mental health conditions pre-dating the pandemic whom we had previously interviewed three months earlier. Participants had been recruited through online advertising and voluntary sector community organisations. Interviews were conducted by telephone or video-conference by researchers with lived experience of mental health difficulties and explored changes over time in experiences of participants of the pandemic. Results: We interviewed 44 people, achieving diversity of demographic characteristics and a range of mental health conditions and service use among our sample. Three overarching themes were derived from interviews. The first theme Spectrum of adaptation: to difficulties in access to, or the quality of, statutory mental health services, through developing new personal coping strategies or identifying alternative sources of support. The second theme is Accumulating pressures: from pandemic-related anxieties and sustained disruption to social contact and support, and to mental health treatment. The third theme Feeling overlooked: A sense of people with pre-existing mental health conditions being overlooked during the pandemic by policy-makers at all levels. The latter was compounded for people from ethnic minority communities or with physical health problems. Conclusion: Our study highlights the need to support marginalised groups who are at risk of increased inequalities, and to maintain crucial mental and physical healthcare and social care for people with existing mental health conditions, notwithstanding challenges of the pandemic.


2021 ◽  
Author(s):  
Tristan J Philippe ◽  
Naureen Sikder ◽  
Anna Jackson ◽  
Maya E Koblanski ◽  
Eric Liow ◽  
...  

BACKGROUND The COVID-19 pandemic has shifted mental health care delivery to digital platforms, video conferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions. OBJECTIVE To address this gap, we conducted a rapid review of the literature to assess the state of digital health interventions for the treatment of several mental health conditions. METHODS We searched MEDLINE for secondary literature published between 2010-2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care. RESULTS Sixty percent (60%) of research involved the treatment of substance use disorders, 25% focused on mood, anxiety and traumatic stress disorders and 5% or less on other mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective, but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and online forums are novel technologies that have the potential to improve mental health but require higher quality evidence. CONCLUSIONS Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients, who are marginalized, and may lack access to digital health interventions.


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