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Bowersox NW, Jagusch J, Garlick J, Chen JI, Pfeiffer PN. Peer-based interventions targeting suicide prevention: A scoping review. AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY 2021; 68:232-248. [PMID: 33720444 PMCID: PMC9165581 DOI: 10.1002/ajcp.12510] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Peers of individuals at risk for suicide may be able to play important roles in suicide prevention. The aim of the current study is to conduct a scoping review to characterize the breadth of peer-delivered suicide prevention services and their outcomes to inform future service delivery and research. Articles were selected based on search terms related to peers, suicide, or crisis. After reviews of identified abstracts (N = 2681), selected full-text articles (N = 286), and additional references (N = 62), a total of 84 articles were retained for the final review sample. Types of suicide prevention services delivered by peers included being a gatekeeper, on-demand crisis support, crisis support in acute care settings, and crisis or relapse prevention. Peer relationships employed in suicide prevention services included fellow laypersons; members of the same sociodemographic subgroup (e.g., racial minority), workplace, or institution (e.g., university, correctional facility); and the shared experience of having a mental condition. The majority of published studies were program descriptions or uncontrolled trials, with only three of 84 articles qualifying as randomized controlled trials. Despite a lack of methodological rigor in identified studies, peer support interventions for suicide prevention have been implemented utilizing a diverse range of peer provider types and functions. New and existing peer-delivered suicide prevention services should incorporate more rigorous evaluation methods regarding acceptability and effectiveness.
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Affiliation(s)
- Nicholas W. Bowersox
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
- VA Center for Clinical Management Research, Ann Arbor, MI, USA
| | - Jennifer Jagusch
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
- VA Center for Clinical Management Research, Ann Arbor, MI, USA
| | - James Garlick
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
- VA Center for Clinical Management Research, Ann Arbor, MI, USA
| | - Jason I. Chen
- VA Center to Improve Veteran Involvement in Care, Portland, OR, USA
| | - Paul N. Pfeiffer
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI, USA
- VA Center for Clinical Management Research, Ann Arbor, MI, USA
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Chien WT, Clifton AV, Zhao S, Lui S. Peer support for people with schizophrenia or other serious mental illness. Cochrane Database Syst Rev 2019; 4:CD010880. [PMID: 30946482 PMCID: PMC6448529 DOI: 10.1002/14651858.cd010880.pub2] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Peer support provides the opportunity for peers with experiential knowledge of a mental illness to give emotional, appraisal and informational assistance to current service users, and is becoming an important recovery-oriented approach in healthcare for people with mental illness. OBJECTIVES To assess the effects of peer-support interventions for people with schizophrenia or other serious mental disorders, compared to standard care or other supportive or psychosocial interventions not from peers. SEARCH METHODS We searched the Cochrane Schizophrenia Group's Study-Based Register of Trials on 27 July 2016 and 4 July 2017. There were no limitations regarding language, date, document type or publication status. SELECTION CRITERIA We selected all randomised controlled clinical studies involving people diagnosed with schizophrenia or other related serious mental illness that compared peer support to standard care or other psychosocial interventions and that did not involve 'peer' individual/group(s). We included studies that met our inclusion criteria and reported useable data. Our primary outcomes were service use and global state (relapse). DATA COLLECTION AND ANALYSIS The authors of this review complied with the Cochrane recommended standard of conduct for data screening and collection. Two review authors independently screened the studies, extracted data and assessed the risk of bias of the included studies. Any disagreement was resolved by discussion until the authors reached a consensus. We calculated the risk ratio (RR) and 95% confidence interval (CI) for binary data, and the mean difference and its 95% CI for continuous data. We used a random-effects model for analyses. We assessed the quality of evidence and created a 'Summary of findings' table using the GRADE approach. MAIN RESULTS This review included 13 studies with 2479 participants. All included studies compared peer support in addition to standard care with standard care alone. We had significant concern regarding risk of bias of included studies as over half had an unclear risk of bias for the majority of the risk domains (i.e. random sequence generation, allocation concealment, blinding, attrition and selective reporting). Additional concerns regarding blinding of participants and outcome assessment, attrition and selective reporting were especially serious, as about a quarter of the included studies were at high risk of bias for these domains.All included studies provided useable data for analyses but only two trials provided useable data for two of our main outcomes of interest, and there were no data for one of our primary outcomes, relapse. Peer support appeared to have little or no effect on hospital admission at medium term (RR 0.44, 95% CI 0.11 to 1.75; participants = 19; studies = 1, very low-quality evidence) or all-cause death in the long term (RR 1.52, 95% CI 0.43 to 5.31; participants = 555; studies = 1, very low-quality evidence). There were no useable data for our other prespecified important outcomes: days in hospital, clinically important change in global state (improvement), clinically important change in quality of life for peer supporter and service user, or increased cost to society.One trial compared peer support with clinician-led support but did not report any useable data for the above main outcomes. AUTHORS' CONCLUSIONS Currently, very limited data are available for the effects of peer support for people with schizophrenia. The risk of bias within trials is of concern and we were unable to use the majority of data reported in the included trials. In addition, the few that were available, were of very low quality. The current body of evidence is insufficient to either refute or support the use of peer-support interventions for people with schizophrenia and other mental illness.
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Affiliation(s)
- Wai Tong Chien
- The Chinese University of Hong KongNethersole School of Nursing8/F., Esther Lee Building, Chung Chi CampusThe Chinese University of Hong KongShatinNew TerritoriesHong Kong
| | - Andrew V Clifton
- De Montfort UniversityFaculty of Health and Life Sciences3.10 Edith Murphy HouseThe GatewayLeicesterUKLE1 9BH
| | - Sai Zhao
- The Ingenuity Centre, The University of NottinghamSystematic Review Solutions LtdTriumph RoadNottinghamUKNG7 2TU
| | - Steve Lui
- University of HuddersfieldSchool of Human and Health SciencesHarold Wilson BuildingQueensgateHuddersfieldUKHD1 3DH
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Lloyd-Evans B, Christoforou M, Osborn D, Ambler G, Marston L, Lamb D, Mason O, Morant N, Sullivan S, Henderson C, Hunter R, Pilling S, Nolan F, Gray R, Weaver T, Kelly K, Goater N, Milton A, Johnston E, Fullarton K, Lean M, Paterson B, Piotrowski J, Davidson M, Forsyth R, Mosse L, Leverton M, O’Hanlon P, Mundy E, Mundy T, Brown E, Fahmy S, Burgess E, Churchard A, Wheeler C, Istead H, Hindle D, Johnson S. Crisis resolution teams for people experiencing mental health crises: the CORE mixed-methods research programme including two RCTs. PROGRAMME GRANTS FOR APPLIED RESEARCH 2019. [DOI: 10.3310/pgfar07010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Background
Crisis resolution teams (CRTs) seek to avert hospital admissions by providing intensive home treatment for people experiencing a mental health crisis. The CRT model has not been highly specified. CRT care is often experienced as ending abruptly and relapse rates following CRT discharge are high.
Aims
The aims of CORE (Crisis resolution team Optimisation and RElapse prevention) workstream 1 were to specify a model of best practice for CRTs, develop a measure to assess adherence to this model and evaluate service improvement resources to help CRTs implement the model with high fidelity. The aim of CORE workstream 2 was to evaluate a peer-provided self-management programme aimed at reducing relapse following CRT support.
Methods
Workstream 1 was based on a systematic review, national CRT manager survey and stakeholder qualitative interviews to develop a CRT fidelity scale through a concept mapping process with stakeholders (n = 68). This was piloted in CRTs nationwide (n = 75). A CRT service improvement programme (SIP) was then developed and evaluated in a cluster randomised trial: 15 CRTs received the SIP over 1 year; 10 teams acted as controls. The primary outcome was service user satisfaction. Secondary outcomes included CRT model fidelity, catchment area inpatient admission rates and staff well-being. Workstream 2 was a peer-provided self-management programme that was developed through an iterative process of systematic literature reviewing, stakeholder consultation and preliminary testing. This intervention was evaluated in a randomised controlled trial: 221 participants recruited from CRTs received the intervention and 220 did not. The primary outcome was re-admission to acute care at 1 year of follow-up. Secondary outcomes included time to re-admission and number of days in acute care over 1 year of follow-up and symptoms and personal recovery measured at 4 and 18 months’ follow-up.
Results
Workstream 1 – a 39-item CRT fidelity scale demonstrated acceptability, face validity and promising inter-rater reliability. CRT implementation in England was highly variable. The SIP trial did not produce a positive result for patient satisfaction [median Client Satisfaction Questionnaire score of 28 in both groups at follow-up; coefficient 0.97, 95% confidence interval (CI) –1.02 to 2.97]. The programme achieved modest increases in model fidelity. Intervention teams achieved lower inpatient admission rates and less inpatient bed use. Qualitative evaluation suggested that the programme was generally well received. Workstream 2 – the trial yielded a statistically significant result for the primary outcome, in which rates of re-admission to acute care over 1 year of follow-up were lower in the intervention group than in the control group (odds ratio 0.66, 95% CI 0.43 to 0.99; p = 0.044). Time to re-admission was lower and satisfaction with care was greater in the intervention group at 4 months’ follow-up. There were no other significant differences between groups in the secondary outcomes.
Limitations
Limitations in workstream 1 included uncertainty regarding the representativeness of the sample for the primary outcome and lack of blinding for assessment. In workstream 2, the limitations included the complexity of the intervention, preventing clarity about which were effective elements.
Conclusions
The CRT SIP did not achieve all its aims but showed potential promise as a means to increase CRT model fidelity and reduce inpatient service use. The peer-provided self-management intervention is an effective means to reduce relapse rates for people leaving CRT care.
Study registration
The randomised controlled trials were registered as Current Controlled Trials ISRCTN47185233 and ISRCTN01027104. The systematic reviews were registered as PROSPERO CRD42013006415 and CRD42017043048.
Funding
The National Institute for Health Research Programme Grants for Applied Research programme.
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Affiliation(s)
| | | | - David Osborn
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, UK
| | - Louise Marston
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Danielle Lamb
- Division of Psychiatry, University College London, London, UK
| | - Oliver Mason
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Nicola Morant
- Division of Psychiatry, University College London, London, UK
| | - Sarah Sullivan
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Claire Henderson
- Health Service and Population Research, King’s College London, London, UK
| | - Rachael Hunter
- Research Department of Primary Care and Population Health, University College London, London, UK
| | - Stephen Pilling
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Fiona Nolan
- School of Health and Social Care, University of Essex, Colchester, UK
| | - Richard Gray
- Department of Nursing and Midwifery, La Trobe University, Melbourne, VIC, Australia
| | - Tim Weaver
- Mental Health Social Work and Interprofessional Learning, Middlesex University London, London, UK
| | | | | | - Alyssa Milton
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Elaine Johnston
- Division of Psychiatry, University College London, London, UK
| | - Kate Fullarton
- Division of Psychiatry, University College London, London, UK
| | - Melanie Lean
- Division of Psychiatry, University College London, London, UK
| | - Beth Paterson
- Division of Psychiatry, University College London, London, UK
| | | | | | - Rebecca Forsyth
- Division of Psychiatry, University College London, London, UK
| | - Liberty Mosse
- Division of Psychiatry, University College London, London, UK
| | - Monica Leverton
- Division of Psychiatry, University College London, London, UK
| | - Puffin O’Hanlon
- Division of Psychiatry, University College London, London, UK
| | - Edward Mundy
- Division of Psychiatry, University College London, London, UK
| | - Tom Mundy
- Division of Psychiatry, University College London, London, UK
| | - Ellie Brown
- Psychiatric Health Strategic Research Centre, Deakin University, Geelong, VIC, Australia
| | - Sarah Fahmy
- Division of Psychiatry, University College London, London, UK
| | - Emma Burgess
- Division of Psychiatry, University College London, London, UK
| | | | - Claire Wheeler
- Division of Psychiatry, University College London, London, UK
| | - Hannah Istead
- Division of Psychiatry, University College London, London, UK
| | - David Hindle
- Division of Psychiatry, University College London, London, UK
| | - Sonia Johnson
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
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