Dataset Information

Detecting signs of deterioration in young patients with serious mental illness: a systematic review.

ABSTRACT:

Background

Serious mental illnesses (SMI) such as schizophrenia and bipolar disorder first develop between ages 14 and 25. Once diagnosed, young peoples' health can deteriorate, and it is therefore vital to detect this early to prevent severe outcomes including hospitalisations and deaths by suicide. The main study aim is to describe and discuss observational studies that examine signs of deterioration in young patients with SMI.

Methods

A systematic review guided by the published protocol was conducted. Cumulative Index to Nursing and allied Health Literature (CINAHL), MEDLINE, Embase, PsycINFO, Health Management Information Consortium (HMIC) and Web of Science were searched against pre-defined criteria until 1 March 2021. Observational studies were extracted according to design, country, participant, indicator, outcome and main finding categories. Quality was assessed independently using the Newcastle Ottawa Scale (NOS).

Results

Of the 15,788 publications identified, 5 studies were included and subjected to narrative synthesis. Two indicators of mental health deterioration were identified: cognitive functioning (decline, worsening and poor school/academic performance) and expressed emotion status. Indicators revealed mixed views on predicting deterioration. Worsening cognitive functioning and expressed emotion status significantly predicted medication non-adherence and relapse respectively. However, a decline in cognitive functioning (poor academic performance) was not found to significantly correlate to deaths by suicide. Study quality was mostly poor and associations between indicators and varied outcomes were weak. The heterogeneous nature of the data made comparisons difficult and did not allow for further statistical analysis.

Conclusion

To our knowledge, this is the first review of observational studies to identify indicators of deterioration in young patients with SMI. Worsening cognitive functioning and expressed emotion status could indicate non-adherence and relapse in young patients with SMI but larger sample sizes in good quality studies are needed. The dearth of observational studies means further research is required to ascertain other indicators of deterioration before serious outcomes occur.

Funding

This work was supported by the National Institute for Health Research (NIHR) Imperial Patient Safety Translational Research Centre via an NIHR programme grant. The authors are also grateful for support from the NIHR under the Applied Health Research programme for North West London and the NIHR Imperial Biomedical Research Centre. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Trial registration

This systematic review has been registered on PROSPERO (registration number: CRD42017075755 ).

SUBMITTER: Dewa LH

PROVIDER: S-EPMC8447694 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:Peer support is recognized globally as an essential recovery service for people with mental health conditions. With the influx of digital mental health services changing the way mental health care is delivered, peer supporters are increasingly using technology to deliver peer support. In light of these technological advances, there is a need to review and synthesize the emergent evidence for peer-supported digital health interventions for adults with mental health conditions. OBJECTIVE:The aim of this study was to identify and review the evidence of digital peer support interventions for people with a lived experience of a serious mental illness. METHODS:This systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) procedures. The PubMed, Embase, Web of Science, Cochrane Central, CINAHL, and PsycINFO databases were searched for peer-reviewed articles published between 1946 and December 2018 that examined digital peer support interventions for people with a lived experience of a serious mental illness. Additional articles were found by searching the reference lists from the 27 articles that met the inclusion criteria and a Google Scholar search in June 2019. Participants, interventions, comparisons, outcomes, and study design (PICOS) criteria were used to assess study eligibility. Two authors independently screened titles and abstracts, and reviewed all full-text articles meeting the inclusion criteria. Discrepancies were discussed and resolved. All included studies were assessed for methodological quality using the Methodological Quality Rating Scale. RESULTS:A total of 30 studies (11 randomized controlled trials, 2 quasiexperimental, 15 pre-post designs, and 2 qualitative studies) were included that reported on 24 interventions. Most of the studies demonstrated feasibility, acceptability, and preliminary effectiveness of peer-to-peer networks, peer-delivered interventions supported with technology, and use of asynchronous and synchronous technologies. CONCLUSIONS:Digital peer support interventions appear to be feasible and acceptable, with strong potential for clinical effectiveness. However, the field is in the early stages of development and requires well-powered efficacy and clinical effectiveness trials. TRIAL REGISTRATION:PROSPERO CRD42020139037; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID= 139037.

Project description:ObjectiveTo review recent published trials of nutrition and dietary interventions for people with serious mental illness; to assess their effectiveness in improving metabolic syndrome risk factors.Study designSystematic review and meta-analysis of randomised and non-randomised controlled trials of interventions with a nutrition/diet-related component delivered to people with serious mental illness, published 1 January 2010 - 6 September 2021. Primary outcomes were weight, body mass index (BMI), and waist circumference. Secondary outcomes were total serum cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, triglyceride, and blood glucose levels.Data sourcesMEDLINE, EMBASE, PsycINFO, CINAHL, and CENTRAL databases. In addition, reference lists of relevant publications were examined for further additional studies.Data synthesisTwenty-five studies encompassing 26 intervention arms were included in our analysis. Eight studies were at low or some risk of bias, seventeen were deemed to be at high risk. Eight of seventeen intervention arms found statistically significant intervention effects on weight, ten of 24 on BMI, and seven of seventeen on waist circumference. The pooled effects of nutrition interventions on metabolic syndrome risk factors were statistically non-significant. However, we identified small size effects on weight for interventions delivered by dietitians (five studies; 262 intervention, 258 control participants; standardised mean difference [SMD], -0.28; 95% CI, -0.51 to -0.04) and interventions consisting of individual sessions only (three studies; 141 intervention, 134 control participants; SMD, -0.30; 95% CI, -0.54 to -0.06).ConclusionsWe found only limited evidence for nutrition interventions improving metabolic syndrome risk factors in people with serious mental illness. However, they may be more effective when delivered on an individual basis or by dietitians.Prospero registrationCRD42021235979 (prospective).

Project description:Shared decision making (SDM) is important in achieving patient-centered care. SDM tools such as decision aids are intended to inform the patient. When used to assist in decision making between treatments, decision aids have been shown to reduce decisional conflict, increase ease of decision making, and increase modification of previous decisions.The purpose of this systematic review is to assess the impact of computerized decision aids on patient-centered outcomes related to SDM for seriously ill patients.PubMed and Scopus databases were searched to identify randomized controlled trials (RCTs) that assessed the impact of computerized decision aids on patient-centered outcomes and SDM in serious illness. Six RCTs were identified and data were extracted on study population, design, and results. Risk of bias was assessed by a modified Cochrane Risk of Bias Tool for Quality Assessment of Randomized Controlled Trials.Six RCTs tested decision tools in varying serious illnesses. Three studies compared different computerized decision aids against each other and a control. All but one study demonstrated improvement in at least one patient-centered outcome. Computerized decision tools may reduce unnecessary treatment in patients with low disease severity in comparison with informational pamphlets. Additionally, electronic health record (EHR) portals may provide the opportunity to manage care from the home for individuals affected by illness. The quality of decision aids is of great importance. Furthermore, satisfaction with the use of tools is associated with increased patient satisfaction and reduced decisional conflict. Finally, patients may benefit from computerized decision tools without the need for increased physician involvement.Most computerized decision aids improved at least one patient-centered outcome. All RCTs identified were at a High Risk of Bias or Unclear Risk of Bias. Effort should be made to improve the quality of RCTs testing SDM aids in serious illness.