| Literature DB >> 36064337 |
Sarah Ledden1, Luke Sheridan Rains2, Merle Schlief3, Phoebe Barnett2,4, Brian Chi Fung Ching2, Brendan Hallam1,5, Mia Maria Günak2,6, Thomas Steare2, Jennie Parker7, Sarah Labovitch7,8, Sian Oram9, Steve Pilling4,10,11, Sonia Johnson2,11.
Abstract
BACKGROUND: Improving the quality of care in community settings for people with 'Complex Emotional Needs' (CEN-our preferred working term for services for people with a "personality disorder" diagnosis or comparable needs) is recognised internationally as a priority. Plans to improve care should be rooted as far as possible in evidence. We aimed to take stock of the current state of such evidence, and identify significant gaps through a scoping review of published investigations of outcomes of community-based psychosocial interventions designed for CEN.Entities:
Keywords: Complex emotional needs; Personality disorder; Scoping review
Mesh:
Year: 2022 PMID: 36064337 PMCID: PMC9442944 DOI: 10.1186/s12888-022-04171-z
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 4.144
Fig. 1PRISMA Diagram
DBT
| Study design and number of studies (n) with references | Sample size, date, and country of publication | Cohort diagnoses and demographics | Main findings |
|---|---|---|---|
| DBT vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Country: Asia ( | Diagnoses: “BPD” diagnosis ( Demographics: 100% female ( | On |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: < 20 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD”, “personality disorder”, or emotionally unstable “personality disorder” diagnosis ( Demographics: 100% female ( | In |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2000–2009 ( Country: North America ( | Diagnoses: “Personality disorder” or “BPD” diagnosis ( | |
| Implementation studies ( | Sample size: > 100 ( Date: 2020 – ( Country: Europe ( | Diagnoses: “BPD” or “emotionally unstable personality disorder” diagnosis ( Demographics: no data reported. | |
| DBT vs specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: North America ( | Diagnoses: “BPD” diagnosis ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( | |
| Studies of partial/modified DBT | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Asia ( | Diagnoses: “BPD” diagnosis ( Demographics: 100% female ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: < 20 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” diagnosis and/or experiencing emotional dysregulation ( | In 1 |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” or cluster B diagnosis ( Demographics: no data reported. | In 3 |
| Studies of adapted DBT | |||
| RCT ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Asia ( | Diagnoses: “BPD” diagnosis ( Demographics: 100% female ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( Demographics: 100% female ( | |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” diagnosis or criteria ( Demographics: 100% female ( | |
Cognitive and behavioural and schema therapies
| Study design and number of studies (n) with references | Sample size, date, and country of publication | Cohort diagnoses and demographics | Main findings |
|---|---|---|---|
| Cognitive and behavioural treatment vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” or other “personality disorder” diagnoses/criteria ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: < 20 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” ( Demographics: 100% female ( | In |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2000–2009 ( Country: Asia ( | Diagnoses: “BPD” ( Demographics: 80–99% White ( | In |
| Cognitive and behavioural treatment vs specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” features/diagnosis ( Demographics: 100% White ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “Personality disorder” diagnosis ( Demographics: no data report. | In 3 |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2010–2019 ( Country: North America ( | Diagnoses: NSSI disorder ( | |
| Studies of modified cognitive and behavioural treatments | |||
| RCT ( | Sample size: < 20 ( Date: 1990–1999 ( Country: North America ( | Diagnoses: “BPD” diagnosis ( Demographics: 80–99% White ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “Personality disorder” diagnosis, excluding borderline, schizotypal, schizoid, antisocial, or NOS “personality disorder” diagnoses ( | The 1 study utilised a crossover design and showed significant improvements over the treatment period as a whole, but no between-group differences. |
| Studies of adapted cognitive and behavioural treatments | |||
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2010–2019 ( Country: Oceania ( | Diagnoses: “Personality disorder” diagnosis ( Demographics: no data reported. | In 1 |
| Schema therapy vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: > 100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: Avoidant, dependent, obsessive–compulsive, paranoid, histrionic, or narcissistic “personality disorder” diagnosis ( Demographics: no data reported. | On the |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: < 20 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” ( Demographics: 100% female ( | In the 1 study that reported significant results |
| Studies of modified schema therapy | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( | |
Psychodynamic and MBT studies
| Study design and number of studies (N) with references | Sample size, date, and country of publication | Cohort diagnoses and demographics | Main findings |
|---|---|---|---|
| MBT vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Asia ( | Diagnoses: “BPD” diagnosis ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: < 20 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” ( Demographics: 100% female ( | In 1 In |
| MBT vs specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” ( | In In |
| Studies of modified MBT | |||
| RCT ( | Sample size: > 100 ( Date: 2020- ( Country: Europe ( | Diagnoses: “Personality disorder” diagnosis ( Demographics: no data reported. | |
| Psychodynamic treatment vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” ( Demographics: no data reported. | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: < 20 ( Date: 1990–1999 ( Country: Australia ( | Diagnoses: “Personality disorder” ( Demographics: 100% female ( | In In |
| Uncontrolled intervention development studies and single case study with multiple measures ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: North America ( | Diagnoses: “BPD” symptoms and suicidal or self-injurious behaviour ( Demographics: 100% female ( | |
| Psychodynamic treatment vs specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” ( Demographics: 50–79% White ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” ( | In In 1 |
| Comparisons of psychodynamic treatment settings | |||
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: > 100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “Personality disorder” diagnosis ( | |
| Studies of adapted psychodynamic treatment | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( 2010–2019 ( Country: North America ( | Diagnoses: “BPD” diagnosis and alcohol use or substance dependence ( Demographics: no data reported. | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( Demographics: relatively low socio-economic status ( | |
Other studies
| Study design and number of studies (N) with references | Sample size, date, and country of publication | Cohort diagnoses and demographics | Main findings |
|---|---|---|---|
| Mixed therapeutic modalities vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” ( | In |
| Mixed therapeutic modalities vs specialist comparators | |||
| RCT ( | Sample size: > 100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “Personality disorder” diagnosis ( | |
| Other individual therapy vs inactive/non-specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “BPD” ( Demographics: 100% female ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Country: North America ( | Diagnoses: Adverse childhood experiences ( Demographics: 50–79% White ( | In 1 study |
| Other individual therapy vs specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “BPD” diagnosis ( | |
| Social-interpersonal and functional therapies vs non-specialist/inactive comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: Europe ( | Diagnoses: “Personality disorder” ( Demographics: not reported | |
| Social-interpersonal and functional therapies vs specialist comparators | |||
| RCT ( | Sample size: 20–100 ( Date: 1990–1999 ( Country: North America ( | Diagnoses: Avoidant “personality disorder” diagnosis ( Demographics: not reported | |
| Self-management and care planning vs self-management | |||
| RCT ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “BPD” diagnosis and past self-harm ( | |
| Self-management and care planning vs established generic or specialist mental health services | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2010 ( Country: UK ( | Diagnoses: Severe mental illness and comorbid personality disorder or difficulty ( | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: Europe ( | Diagnoses: “Personality disorder” diagnosis ( Demographics: not reported | In 1 |
| Novel mental health service model vs day hospital | |||
| RCT ( | Sample size: 20–100 ( Date: 2000–2009 ( Country: Europe ( | Diagnoses: “Personality disorder” ( Demographics: not reported | |
| Novel mental health service model vs established generic or specialist mental health services | |||
| RCT ( | Sample size: > 100 ( Date: 2010–2019 ( Country: Oceania ( | Diagnoses: “BPD” ( Demographics: not reported | |
| Non-randomised experiments, observational studies, quasi experiment, and natural experiment with pre-post comparison ( | Sample size: 20–100 ( Date: 2010–2019 ( Country: North America ( | Diagnoses: “Personality disorder” ( | In |
| Uncontrolled intervention development studies and single case study with ( | Sample size: < 20 ( Date: 2010–2019 ( Country: UK ( | Diagnoses: “Personality disorder” diagnosis ( | In 1 |
Fig. 2Number of Papers by Year
Fig. 3Number of Papers by Treatment Type and by Year
Fig. 4Locations of Interventions
Lived experience commentary written by Sarah Labovitch and Jennie Parker
| In light of the Community Mental Health Framework (CMHFA), this review is well timed to revise thinking around what |
| Time to follow-up in many studies discussed is limited. Side-effects of funding constraints typically lead to quantitative research and RCTs being prioritised. We agree with the question of what underlies reported improvements, and would say this is not just in relation to observational studies. It would be interesting to delve further into this |
| Despite advancements in recent years, community service-provision for “personality disorder”/CEN is nevertheless lagging behind other areas of mental health. Treatment in the community must be patient-centred: adapted to factors such as age, culture, comorbidity, substance misuse and trauma. Some health professionals still display discriminatory attitudes towards CEN, or simply don’t know how to help. Finding a clinician with the right skills and compassion is depressingly arduous. Further, exclusion criteria and high thresholds can make “specialist” services inaccessible. Meanwhile, the notion of individuals actually having a choice in therapist is vanishingly slim, adding to the risk of iatrogenic harm and a “cliff-edge” of care. Services need to commit to consistent long-term contact, as well as tailoring treatment to individual needs |
| As with others, we have experienced stigma, rejection, and repeated/inappropriate referrals. This paper leaves us with a conundrum, both in relation to the integrated approach proposed by the |
| CMHFA and access to good and timely support. Whilst this is a scoping review of quantitative research, our recommendation is for further investigation into the active ingredients of therapy: what makes good outcomes for some but not others, the importance of the relationship, and whether we have a choice of therapist (considerate of age, culture, gender, etc.) or of intervention. We also noted the limited research on peer support, compared to our experience of its value. With such a diverse population and diverse range of therapies (and variance within specific models), clearer guidance would be helpful so that we can all make fully-informed choices |