Abstract
Background
Early intervention in psychosis (EIP) services target the early manifestation of psychosis and provide multidisciplinary care. They demonstrate effectiveness and cost-effectiveness. Implementation of EIP services is inconsistent and piecemeal. This systematic review and narrative synthesis aims to identify barriers and facilitators to EIP service implementation.
Methods
We conducted an electronic search of databases (EMBASE, Medline, Web of Science, and PsychINFO) to detect papers reporting EIP service implementation findings and associated barriers and facilitators. The search occurred between June to August 2020, and again in January 2021. Articles meeting inclusion criteria were extracted and narratively synthesized. A quality assessment was conducted using the Mixed Methods Appraisal Tool.
Results
Twenty-three studies were selected. The most common study design was descriptive accounts of implementation. Patient age ranged varied from 14 to 35 years. We identified three barrier and facilitator domains: (a) system; (b) services; and (c) staff, and a range of subdomains. The most frequent subdomains were “funding” and “strength of collaboration and communication between EIP and outside groups and services”. Associations between domains and subdomains were evident, particularly between systems and services.
Conclusions
A range of barriers and facilitators to EIP implementation exist. Some of these are generic factors germane across health systems and services, while others are specific to EIP services. A thorough prior understanding of these challenges and enablers are necessary before implementation is attempted. Accounting for these issues within local and national contexts may help predict and increase the likelihood of services’ success, stability, and longevity.
Keywords: barriers, early intervention, Early intervention in psychosis, facilitators, implementation, psychosis
Introduction
Psychotic disorders can be debilitating [1] and is costly [2]. Their international incidence is 21.4 per 100,000 person years [3]. Outcomes for patients and families are poor [4]. First episode psychosis (FEP) may adversely affect individuals’ educational, employment, and social development through the accumulation of impairment and disability. Greater durations of untreated psychosis (DUP) are moderately associated with worsened prognosis [5]. Early intervention in psychosis (EIP) is associated with positive effects on clinical and functional status at 5-year follow-up in FEP [6], although there are gaps in treatment access [7].
EIP services detect and treat psychotic symptoms early to help stem symptoms and associated behavioral and psychosocial problems. Fidelity scales list objective criteria by which EIP programs can be judged to adhere to sets of standards [8]. Common characteristics of EIP for FEP include early detection, small patient-to-staff ratios, antipsychotic prescription and monitoring, provision of psychosocial and behavioral treatments, 1–3 years program duration, explicit admission criteria and defined missions to serve specific geographic populations. Not all EIP services look the same, but most share some characteristics described in published standards and fidelity scales.
As the EIP evidence base has grown, relatively well-developed services have been implemented in England, Canada, Australia, and Scandinavia. A survey of 29 European Psychiatric member countries reported most countries had 1–5 EIP or early detection services, with 1–2 sites in 38.9% of evaluated countries. Of the 16 countries providing data, duration of services was 15.5 years, with Germany having the longest service duration [9]. Implementation is not widespread, and services are “not yet a broadly accepted or consistent feature of care in most developed countries” [10]. In 2008, the US RAISE program was launched, and within a decade was expected to lead to the establishment of 100 EIP teams [11], yet large-scale implementation has not occurred [12]. Implementation is piecemeal and momentum slow [13].
The implementation gap may be partly due to difficulties in embedding multi-component services within healthcare systems without universal healthcare [14] and higher start-up costs compared with treatment-as-usual. Within Psychiatry, there are debates about EIP’s value, where EIP was viewed as a resource and skill diversion from mainstream services, led by “self-confessed evangelists” [15]. While early intervention is a familiar medical concept, it is novel in mental health services [13]. Equivalency in mental and physical health financing is rare, and services for severe mental illness are subject to political disinterest and stigma [16]. Given this broader context, we hypothesized that implementation success would be linked to the strength, resilience and financing of the existing health and mental healthcare system.
There are likely other implementation challenges. Implementation science attempts to promote the uptake of research findings in real-world settings [17]. Common implementation outcomes include assessment of the adoption of, fidelity to and sustainability of a service or intervention, rather than the intervention’s outcomes [18]. This approach has been successfully applied examine components of complex health systems, for example, research on improving rates of thrombolysis in acute stroke found rates improve with urban location, centralized service models, treatment by neurologists, admission via ambulance, and stroke-specific protocols [19]. A better understanding of these kinds of contextual and human factors, drawn from existing EIP implementation literature, could assist commissioners, policymakers and clinicians in service development. To the best of our knowledge, there are two descriptive reviews [11,20] on the broad status of EIP service implementation, but no systematic review has collated evidence from existing studies on the barriers and facilitators to EIP implementation. Against this background, the current systematic review and narrative synthesis aims to identify the barriers and facilitators to EIP service implementation.
Methods
A systematic review collated evidence from previous studies of EIP implementation, in accordance with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines [21]. This method was then combined with a narrative synthesis grounded in guidelines developed by Popay et al. [22] to identify and explore the barriers and facilitators of EIP service implementation.
Registration
This systematic review is registered on PROSPERO (reg no.: CRD42021241603).
Search strategy
A search strategy was developed with a medical librarian for EMBASE, Medline, Web of Science and PsychINFO databases and conducted between June to August 2020 and again in January 2021. Results were limited to articles published up until January 2021. See “Supplementary Materials” for search strategies applied. Duplicated studies were removed. A secondary hand search of references was performed to identify additional relevant papers in the field.
Eligibility criteria
This review sought studies reporting data on barriers and facilitators to EIP implementation. Table 1 presents inclusion and exclusion criteria. A study was eligible if it included information on the implementation of EIP services in any jurisdiction at any time. We did not include services for patients with only prodromal symptoms, those with an at-risk mental state only, or high risk or ultra-high risk psychosis only. Studies recording only patient outcomes were excluded, as well as studies which assessed specific EIP service components only (e.g., psychotherapy alone) and which contained no information on service implementation as a whole.
Table 1.
Inclusion and exclusion criteria applied.
1. Types of studies | Quantitative or qualitative original studies published in full including: |
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Exclusions: Conference papers, papers in languages other than English, oral presentations not available in full text, book chapters, protocols, critique, or theory building papers | |
2. Study settings | Early intervention in psychosis settings including: |
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Exclusions: Inpatient settings | |
3. Population | Patients attending EIP services including: |
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Staff of EIP services of any type | |
Exclusions: Services catering to patients with only prodromal symptoms, those with an at-risk mental state only, or high risk or ultra-high risk psychosis (i.e., where the EIP service does not treat patients with an established psychosis diagnosis) | |
4. Interventions | Any services or interventions which provide EIP services at a local, national or trans-national level where there is an emphasis on assessment, diagnosis, treatment or follow-up of psychosis and where the study provides descriptive, operational or evaluative data on EIP barriers and facilitators to implementation |
Exclusions: services or interventions in other physical or mental health conditions that do not include reference to psychosis | |
5. Formal collection of data on implementation barriers and facilitators | The study contains formal data (either quantitative or qualitative) from patients, staff or service evaluators on the barriers and facilitators to implementation (at any stage: pre-, post-, or during the process) including studies that provide descriptive or anecdotal information on implementation |
Abbreviations: EIP; early intervention in psychosis; FEP, first episode psychosis.
Study selection process
Study eligibility was assessed by two authors (L.Z. and D.M.) using Covidence software. L.Z. and D.M. independently screened all titles and abstracts. Disagreements were resolved by discussion, and where necessary, involved a third author (N.O.C.) until consensus was reached. Articles’ full texts were screened by two authors (L.Z. and D.M.) and again, discrepancies were resolved through discussion, and where necessary through involvement by N.O.C. The PRISMA flow diagram (Figure 1) displays search, screening, and selection results.
Figure 1.
PRISMA flow diagram of study selection process.
Data extraction
NOC performed data extraction using an Excel data extraction form specifically designed for this review. The following quantitative and qualitative information were extracted: (a) studies: authors’ name, year of publication, study country, aims, and methods; (b) participants: participant number and type; (c) EIP services: number and type of sites sampled, type of services, and barriers and facilitators to EIP implementation. To extract data on barriers and facilitators, we generated a data abstraction matrix to organize and display content, an approach developed previously by Geerligs et al. [23].
Data analysis
The narrative synthesis procedure was derived from Braun and Clarke’s [24] thematic analysis approach, a technique successfully applied in previous synthesizes of health system barriers and facilitators [23,25]. Data analysis was completed in the following stages: (a) reviewing included articles; (b) deriving codes and subcodes that reflected key concepts within the data; (c) developing these concepts into an overarching thematic framework of categories; (d) indexing each article according to the framework and entering summary data into the cells of the abstraction matrix. Initial codes were generated by N.O.C. and further refined to ensure clarity. The results section presents a systematic description of the studies identified, followed the narrative which discusses the themes arising from all studies.
Quality assessment
Quality assessment was undertaken using Mixed Methods Appraisal Tool (MMAT) [26]. MMAT has sound psychometric properties and allows assessment of quantitative descriptive studies, qualitative and mixed methods studies. Eleven studies were descriptive accounts of EIP implementation and beyond the scope of quality assessment [11,14,27–35]. They were retained as they contained important implementation information. The remaining 12 studies were assessed using MMAT by N.O.C. [36–47]. A subset (n = 5) were reviewed by a second author (C.D.) to assess agreement. Agreement was defined as the proportion of items where both raters gave a positive (yes) or a negative (cannot tell, no) score. Agreement analysis was based on Cohen’s Kappa for inter-rater reliability. Scores varied between 0.6 and 1.0, with a total score of 0.8, indicating substantial agreement. Discrepancies were resolved through iterative discussion.
Results
Systematic review
Included studies
Of 3,964 studies identified, 23 met inclusion criteria. Summary study characteristics and study references are reported in Table 2.
Table 2.
Summary information displaying author, year, title, country, methodology, and key barriers and facilitators of included studies.
Author and Year | Title | Country | Study method | Key barriers | Key facilitators |
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Baumann [26] | Treatment and early intervention in psychosis program (TIPP-Lausanne): Implementation of an early intervention program for psychosis in Switzerland | Switzerland | Program description | - Limited
funding - Forced to embed initiative into an existing service |
- Coherent
program - Well-defined focus - Emergence of clinical creativity - Strong academic links |
Brabban [42] | What makes early intervention in psychosis services effective? A case study | England | Case study | - High caseloads meaning
limited time to deliver interventions - Staff competence and confidence - Delays in staff appointments - Limited program evaluation - Lack of support worker - Virtual location |
- Staff training
completed before entering EIP service - Increased time per patient - Caseloads capped - Regular clinical supervision - Demonstration of therapeutic optimism and strong philosophy of recovery |
Cheng [35] | Matryoshka Project: lessons learned about early intervention in psychosis program development | Canada | Qualitative interviews with staff involved in implementation | - Lack of provisional
implementation guidelines for EIP - Embedding of staff into general mental health agencies created overextension of scope of practice and confusion about supervision |
- Partnerships and
collaboration across sectors and between local and provincial
providers - Programs adapted to local conditions, constraints and needs |
Cocchi [25] | Early intervention in psychosis: a feasibility study financed by the Italian Center on Control of Maladies | Italy | Feasibility study | - Lack of collaboration
between psychiatric services and the potential referrals emerged during the
formation of the team - Lack of resources - No incentives for staff beyond initial training |
None described |
Csillag [10] | Early intervention in psychosis: from clinical intervention to health system implementation | Multicountry | Narrative review | - Lack of political
interest - EIP programs driven by academics - Lack of communication with relatives, other professionals, politicians and administrators - Lack or insufficient funding - Obstacles within healthcare systems - Poor coordination with primary care − Poor access to services - Facilities poorly adapted to young people |
- Adoption by local
authorities of EIP services according to guidelines & clinical
evidence - Alignment with service users and family members from service initiation - Services embedded within publicly funded healthcare systems - Central coordination with regional variability in healthcare - Partnership with administrations, fundraising bodies and marketing firms |
Durbin [30] | A first step in system improvement: a survey of Early Psychosis Intervention Programs in Ontario | Canada | Survey study | - Wide variation in
funding capacity, staff size and caseloads - Little assessment, fewer treatment components in smaller than larger area programs - Unequal physician distribution - Insufficient time and training - Under-resourcing of programs leading to lack of encouragement of early referrals and prioritizing clinical care over community development work |
- Easy access to vocational, educational and recreational services |
Essock [34] | State Partnerships for First-Episode Psychosis Services | United States | Partnership description | - Limited public resources in behavioral health—program funding from federal government’s stimulus plan in response to recession | - Recognition by US
State leaders of importance of EIP services - Sufficient capacity to train clinicians - Performance measurement - Sufficient finances to train and monitor performance |
Ghio [22] | Process of implementation and development of early psychosis clinical services in Italy: a survey | Italy | Survey study | - Unequal distribution
of services throughout Italy due to lack of regional and national health
planning - Lack of funding - Geographic barriers to accessibility, high complexity of users’ needs and low health literacy - Implementation of specialist services within generalist model rather than specific/independent outpatient services as cheaper - Cultural resistance to change traditional treatment approaches |
- None described |
Gidugu [43] | Client, family, and clinician experiences of open dialogue-based services | United States | Qualitative interviews | - Younger clinicians
reported lack of prior training in family therapy - Lack of resources due to fee-for-service structure which did not support multiple clinicians attending network meeting or costs of travel to clients’ homes |
- Inclusive clinical
network - Trained personnel available to deliver service - Organizational support in overcoming resource barriers - Support and dedicated interest from clinicians enabled delivery of intensive services |
Gorrel [48] | Changes in early psychosis service provision: a file audit | Australia | Audit study | - Lack of necessary equipment such as instrument scales to enable guideline concordant care | - None described |
Hardy [13] | Filling the implementation gap: a community–academic partnership approach to early intervention in psychosis | United States | Program description | - Governance issues with
lack of clear decision-making processes - Sudden changes in leadership reduced outreach - Training community clinicians in evidence-based practice with rigorous fidelity requirements proved difficult for community-based social service agencies |
- Reduction in high
clinician caseloads - Rewarding achievement of core competencies - Mandating ongoing supervision to ensure integration of new learning - Funding streams identified to cover start-up costs - Development of state-of-art governance structure with 5 standing committees (executive, operations, evaluation, training and outreach) |
Hetrick [41] | Development of an implementation guide to facilitate the roll-out of early intervention services for psychosis | Australia | Implementation guide: description of development |
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Iyer [36] | Early intervention for psychosis: a Canadian perspective | Canada | Program description | - Longer duration of
untreated psychosis in patients coming from larger mental health care
systems - Lack of availability of referring primary care practitioners - Services set up for 1–2 years inadequate as most functional and clinical gains made after 2 years |
- Integration between
research and clinical activity - Effective collaboration with referral source - Direct and rapid-response referral system |
Kelly [47] | HEART—The Hounslow Early Active Recovery Team: Implementing an inclusive strength-based model of care for people with early psychosis: practice development | England | Program description | - Traditional training and clinical orientations around symptom management and adherence rather than recovery | - Collaborative
partnerships with clients - Therapeutic risk taking with open-mindedness - Active elicitation of service users’ perspectives - Active involvement of local community and widespread availability of information on service - Lack of formal referral process but rather encouragement of potential referrers to contact team to discuss individual service users - Encouragement of self- and family-referral - Engagement with local young people in area - Regular team meetings to discuss recovery and engage with emerging research - Staff encouraged to be reflective in practice - Access to a ‘Right-to-work’ worker |
Lester [27] | Development and implementation of early intervention services for young people with psychosis: case study | England | Mixed methods including qualitative interviews, audit of written documentation and survey |
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Maric [28] | Implementation of early detection and intervention services for psychosis in Central and Eastern Europe: current status | Central and Eastern Europe | Survey study | - Lack of adequate
infrastructure - Scarce financial support - Insufficient staff numbers - Services mostly hospital based - Lack of support from decision makers and healthcare payers - Lack of government recognition of EIP importance |
- None described |
McGorry and Yung (29) | Early intervention in psychosis: an overdue reform | Australia | Descriptive | - Lack of resources for
specialist mental health services - Targeting on chronic schizophrenia means broad diagnostic range of patients cannot access specialist services, particularly diagnostic ambiguity of early psychosis - Lack of policy support at State and Federal level - Belief at bureaucratic level that proven EPPIC model cannot be replicated - Lack of integration of specialist mental health with primary care and other community agencies |
- EPPIC program and
National Early Psychosis Project created strong foundation for systematic
reform in Australia - Three national and 3 international Early Psychosis Conferences providing strong networks to support growth of research and service reform |
North [32] | Design, implementation, and assessment of a public comprehensive specialty care program for early psychosis | United States | Mixed methods including survey and audit of records | - Core clinical staff
not in place within first 5 months of program - High staff turnover delayed establishment of clinical teams - Difficulties in patient recruitment and retention threatened funding, taking 1 year to reach patient capacity - Restrictive insurance and income eligibility criteria allowed only 1 of 100 patients to enroll who would otherwise be eligible - Extensive staff efforts to engage and retain patients diverted time from clinical provision - Restrictive exclusion criteria resulted in impoverished sample with lack of access to transport, further limiting ability to engage |
- None described |
Pinfold [24] | Audit of early intervention in psychosis service development in England in 2005 | England | Audit study | -Lack of out-of-hours
support, designated acute beds and input from child mental health
services - Few teams resourced to provide comprehensive service - Half of teams funded only to case manage with no early detection capacity - Few teams measured DUP - Inconsistencies between teams in standardized measurement - One-fourth of teams deviate from specialist service model but did not formally apply for service flexibility |
- National research programs aid understanding of impact of EI on patients and families |
Powell [31] | Implementing coordinated specialty care for first episode psychosis: a review of barriers and solutions | United States | Literature review | - Variation in programs
creates problems with evaluation and program fidelity - High staff turnover - Working in EIP, staff vulnerable to feelings of worry, anxiety and frustration and job-related stress linked to financial concerns - Implementation difficult in rural communities with isolation, fewer resources, inadequate number of staff, self-sufficiency and lack of trust of outsiders - Allocation & retention of resources problematic - Lack of centralized source of funding for EIP - Variability in financial support at State level |
- Time and financial
investment in staff training - Prevent turnover through emotional support for supervisors, supportive leadership, improved workplace environment, adequate initial training and ensuring staff have realistic view of job prior to starting |
Reilly [37] | Implementation of a First presentation psychosis clinical pathway in an area mental health service: the trials of a continuing quality improvement process | Australia | Program description | - Inadequate documented
evidence base for guidelines and pathway - Initial failure to establish measurable objectives and ensure active management involvement - Difficulty in engaging psychiatrists and acute care clinicians in practice change - Over-ambitious expectations of clinical practice - Excessive and duplicative documentation - Lack of specificity in training, targeting and duration of training - Lack of additional support to complete formal evaluation in routine clinical care - Inability to evaluate service improvement at patient outcome level - Disruption of process due to key staff and external circumstances |
- None described |
Tiffin and Glover (23) | From commitment to reality: early intervention in psychosis services in England | England | Mixed methods including qualitative interviews and examination of routine records | - Complexity in process
of commissioning of services - Funding deficits within NHS health Trusts due to increased staff costs resulting in funding for EIP in some areas being frozen or reduced - Low caseloads and referrals due to original overestimates of case prevalence in nonurban areas - Limitations in capacity |
- Effective
leadership - Commitment of service commissioners to EIP - Research and governance activities - Regional EIP “champions” - At least one area where EIP services were developed early, providing “geographic epicenter” for developments |
White [49] | Essential components of early intervention programs for psychosis: Available intervention services in the United States | United States | Qualitative interviews | - Geographic
distribution skewed toward U.S. west coast driven by shift in funding in
California with 20% of all funds from specific tax spent on prevention and
EI in mental health - Under-utilized EIP components include outreach services and communication protocols with inpatient units |
- None described |
Abbreviations: EIP; early intervention in psychosis.
Countries of origin
Most studies were based in high-income countries, including the United States (n = 6), England (n = 5), Australia (n = 4), Canada (n = 3), Italy (n = 2), and Switzerland (n = 1). One originated in Central and Eastern Europe (n = 1), while one included descriptive information from services across the world.
Methods
A variety of methodologies were employed, including descriptions of EIP implementation (n = 8), qualitative (n = 3), survey (n = 3), mixed methods studies (n = 3), narrative reviews (n = 2), audits (n = 2), a case study and one feasibility study. See Table 2 for a full list of study methodologies.
Participants and study sites
Studies employed a variety of participant groups to assess views and experiences of implementation. In 11, there was no direct sampling of any participant group. Instead, the papers comprised authors’ own descriptions or reviews of service or program implementations. In three, patients were directly sampled and in two, participants were EIP clinicians. In the remaining six, participants were described as representatives of services, EIP professional experts, senior EIP program decision makers, program leads, a mixed sample of patients, families, and clinicians, or there was no description of participant type.
In six studies, there was no sampling of specific EIP sites. Of the remaining 17, the mean number of sites sampled was 31 (range: 1–152), with 8 sampling only 1 site. Ghio et al. surveyed 152 mental health centers in Italy, Tiffin et al. sampled 118 teams supported by 53 National Health Service (NHS) Trusts, and Pinfold et al. sampled 117 EIP teams using a self-report audit tool in eight English regional development centers.
EIP services
A variety of service models were included in studies. In 12, the authors presented macro-level details from either a variety of EIP services across international countries, across countries within a region, or across regions within a country. In the remaining 11, information on individual services and their components was available (Table 3). These studies include a variety of service models, including hub and spoke models [28,37], standalone teams [27,30–32,44], or services that focused on collaborative partnerships [14,40,50]. Each offered early intervention, a range of psychosocial services, psychiatric and medication reviews and often some form of assertive case management.
Table 3.
Information on individual EIP services and their key components.
Author | EIP service | Key service components |
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Baumann [26] | Treatment and Early Intervention in Psychosis (TIPP-Lausanne) |
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Brabban [42] | Northumberland EIP service |
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Cocchi [25] | Five EIP centers in Departments of Mental Health of Milan, Rome, Grosseto, Salerno, and Catanzaro |
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Essock [34] | RAISE Partnership |
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Gidugu [43] | “Collaborative Pathway” |
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Hardy [13] | Prevention and Recovery from Early Psychosis (PREP) |
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Hetrick [41] | The Early Psychosis Prevention and Intervention Center (EPPIC) |
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Iyer [36] | Prevention and Early Intervention Program for Psychosis (PEPP) |
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Kelly [47] | Hounslow Early Active and Recovery Team (HEART) |
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North [32] | The Enhanced Program for Early Psychosis (ePEP) |
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Reilly [37] | The First Presentation Psychosis Clinical Pathway |
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Abbreviations: EIP; early intervention in psychosis; FEP, first episode psychosis.
Narrative synthesis
Narrative synthesis identified three domains: (a) system; (b) service; and (c) staff, with 14 associated subdomains. Domains and subdomains are described in Table 4, and Table 2 outlines each barrier and facilitator identified in each study.
Table 4.
Identified barriers and facilitators of EIP service implementation.
Domain | Subdomain | Facilitators or barriers | Number of studies citing subdomain |
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System | Funding |
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14 |
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Preimplementation services and structures |
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11 | |
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Organizational support and structures |
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7 | |
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Political interest |
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4 | |
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Service | Collaboration and communication with outside groups and services |
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13 |
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Coherence of EIP program |
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9 | |
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Assessment and measurement |
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9 | |
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Training capacity |
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8 | |
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Caseloads |
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6 | |
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Referral and discharge |
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6 | |
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Staff supervision |
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5 | |
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Infrastructure |
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2 | |
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Staff | Staff attributes |
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9 |
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Recruitment and retention |
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6 | |
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Abbreviations: EIP; early intervention in psychosis.
System barriers and facilitators
Funding
The most commonly cited barrier was insufficient funding (cited in 14 studies [11,27,33,37,42,43]). Under-resourcing of programs led to insufficient time and scope for staff training, prioritization of clinical work over community development and outreach [38], insufficient staffing [43], and financial concerns amongst staff [34]. Program funding models within countries varied [34,38]. In the United States, private insurer models existed rather than centralized financing [34]. This threatened service sustainability as insurers required the demonstration of treatment indication, reimbursing direct clinical care only, and requiring programs to operate without financial loss [34].
Services were often guaranteed future spending dependent upon achieving specific outcomes. In the United States and England, funding continuation depended on the number of engaged patients [44] or the meeting of caseload targets [42]. Teams often struggled to recruit and retain patients in their first year and staff responded by restricting age eligibility criteria, discharging patients early, or imposing waiting lists [42].
Complex service commissioning systems were reported in England, where a single EIP team negotiated with numerous Primary Care Trusts [46]. EIP commissioners reported recurrent organizational restructuring as an impediment to partnership-building across health and social care sectors, mental health as a low priority, and an inability to ring-fence mental health budgets [42].
Preimplementation services and structures
The strength and availability of existing services affect the ease with which new models can be established. In Italy, EIP diffusion was only 20–30% [39], where implementation heterogeneity was a consequence of chronic regional under-investment and local deprivation. Services in regions of high deprivation face greater challenges due to complex housing needs, high unemployment, higher psychosis incidence [51], harder-to-reach groups like refugees and asylum seekers, and have fewer opportunities to involve voluntary and community services [42]. Rural isolation and inaccessibility will likely lead to unequal physician distribution [38].
Low-income countries face the greatest implementation problems, in particular due to a greater historical reliance on institutionalization [11]. In Central and Eastern Europe, mental health expenditure ranged from 1.4 to 8%, and the number of psychiatrists ranged from 1.3 to 13 per 100,000 population [43]. In Germany, mental health expenditure is 11% and there are 15 psychiatrists per 100,000 population.
Organizational support and structures
Effective leadership and good governance structures facilitate implementation. Regional English EIP ‘champions’ (i.e., teams who developed early) helped guide and instil optimism in under-developed teams [46]. Speedy decision-making and belief in an EIP ethos were regarded as necessary components within governance structures [42]. A program in San Francisco established executive, operations, evaluation, training, and outreach standing committees, giving each their own charter, scope of competency, membership, chair, meeting schedule and performance metrics. This adoption of an established business model within EIP governance structures could improve service efficacy [14].
Political interest
Political disinterest stymies EIP development. The emergence of strong evidence on EIP effectiveness from the OPUS trial convinced politicians to financially support EIP programs in Denmark [11], but health departments in Bosnia and Herzegovina and the Ukraine published mental health strategies referencing EIP, without timeframe commitments [43]. U.S. state leaders in Maryland and New York recognized research that established the feasibility of EIP teams, a recognition accompanied by funding and promises to expand services within both states [50]. Political recognition is vital at all levels of government.
Service barriers and facilitators
Collaboration and communication with outside groups and services
Thirteen studies discussed the need for effective collaboration and communication links with other organizations. National and international conferences can foster clinical and academic networks [33]. Clinical academics can provide data to help establish programs and outcome monitor [36], while services improve study recruitment [27]. Montreal’s PEPP program used research assessments to help set treatment goals and research was shared with patients [31]. Pinfold et al. [45] caution however that research is not a substitute for overcoming structural problems like inequitable access and service incapacity and Cheng et al. [36] reported that provincial Ontario EIP advocacy networks were more influential in service initiation than direction from research.
The importance of service outreach was common across studies with linkages described with schools, employment agencies, child and adolescent psychiatry, drug and alcohol services, primary care, child and youth mental health agencies, youth shelters, housing services, fundraising officials and marketing firms [11,33,36]. Collaborations can increase referrals, improve access to hard-to-reach patients, and raised patient and family satisfaction [36]. Small teams particularly benefit from such partnerships [38], and allowed patients who did not meet an EIP team’s inclusion criteria to receive appropriate community referrals [31].
Coherence of the EIP program
The coherency of the EIP model matters. These models should draw from existing evidence, incorporate workers’ vision and measure fidelity [11]. While fidelity measurement of fidelity is important, tension was noted between creating services derived from gold standards versus adaptations to local contexts. Cheng et al. [36] reported team leaders’ frustration at a lack of area-specific guidelines, but where local guidelines existed, some clinicians found these too restrictive. Given the clinical and biological variability of psychotic disorders and the likelihood that the course and outcome is affected by regional differences, regional guidelines could prove clinically effective. In an audit of 117 EIP teams in England [45], a quarter of teams deviated from the policy implementation guide, but few formally applied for fidelity flexibilities. EIP models can adapt to specific contexts if there is concurrent implementation evaluation [11], and if patient outcomes and cost-effectiveness remain equivalent. Nonetheless, Pinfold et al. [45] caution that large deviations within an environment of funding deficits and access inequity may lead to insufficient resourcing, affecting the ability to provide the comprehensive services and eroding the integrity of the original EIP model.
Assessment and measurement
Prospective patient outcome, treatment fidelity and service performance monitoring are important facilitators. Consistency in standardized patient outcomes strengthens the ability to compile evidence on value. Demonstrations of service and treatment fidelity improve future replication efforts.
Measurement issues were described in two studies. Inadequate data collection in Italian EIP teams was linked to a lack of completed or available standardized assessments [37]. An audit of English services found few teams measured DUP and there were inconsistencies in standardized measures [45]. Standardized DUP scales include a checklist [52] measuring the emergence of first noticeable symptoms, psychosis and treatment-seeking. The Interview for the Retrospective Assessment of the Onset of Schizophrenia [53] assesses symptoms and impairment at the onset of emerging psychosis and the Nottingham Onset Schedule [54] defines onset as the time between first reported change in mental state and the development of psychotic symptoms. It allows measurement of treatment delays, duration of untreated illness, and duration of both untreated emergent and untreated manifest psychosis. DUP measurement is varied and complex, for example, DUP end can be defined differently, for instance, the point of antipsychotic prescription, referral to nonpharmacological treatment or if there are affective components, when antidepressants are given. A recognition that inconsistent measurement impedes service continuation, and that conversely, excessive and duplicative documentation burden staff, led an Australian service to develop a clinical pathway integrating outcome measurement into routine documentation procedures [35]. The San Francisco PREP program trained staff in rigorous data collection, developing an electronic health record that enabled data sharing within teams and with community partners [14].
Service fidelity measurement is expensive but possible using routinely collected, service data [29,48], where structural (e.g., staffing) and care processes (e.g., presence of completed side-effect checklists) can be assessed [49]. Staff reminder prompts improve completion and entry of outcome measures [30]. Most importantly, a recognition of the value of patient and service monitoring is required, alongside the provision of funding and training [50].
Training capacity
Training in psychosocial interventions was a facilitator in eight studies. Teams can suffer from high staff turnover [34] and top-up training can improve retention. In Italy, no specialized training was provided in 26% of 152 teams surveyed [39], while in Northumberland [28], most EIP care coordinators were trained in psychosocial interventions, a fact the authors argue as central to the team’s success.
The opportunity to receive training can attract new staff and a diversity of training perspectives provide more tools with which to assist recovery [40]. Training costs should be factored into start-up and expansion financing, but teams can develop partnerships to help cover training costs, for example the US RAISE program collaborated with academics to train staff [50].
Caseloads
Small caseloads are recommended as the gold standard in EIP delivery. UK EIP guidelines [55] recommend 15 patients per care coordinator. Ontario’s implementation policy did not specify a caseload target and as a result, 25% of programs reported staff caseloads greater than 25 [38]. Higher caseloads can lead to delays in intervention delivery [28], and limitations on outreach activities which serve to increase referrals [42]. High caseloads are not universal, however. Of the 118 teams in operation in England in 2006, only one region was served by teams carrying caseloads approaching the target. This was due to an overestimation of rural prevalence, limits on teams’ capacity, and lower-than-expected referral rates [46]. Prevalence estimates are a common planning requirement [56], but Tiffin et al. caution that caseloads are unlikely to be established until teams are in operation for 3 years [46]. A perception that EIP teams carry small caseloads caused tensions with generic community mental health teams who viewed EIP staff as carrying less intensive workloads. Communication between teams ensure staff appreciate each other’s relative strengths [42].
Referral and discharge
The strength of teams’ referral links improves patients’ rapid access to services. Patients often first have contact with mental health services at crisis point, or may be initially referred to CMHTs, potentially resulting in increased DUP [57]. Referrals from large mental health systems are associated with longer DUP, where care pathways may be more complicated [31]. Periodical meetings with potential referrers can be effective [37]. Links with local emergency departments prevented hospitalizations and minimized the potentially traumatic effects of encountering care within emergency or inpatient settings [31]. Family and self-referral improved service uptake and decreased help-seeking delay [31,37]. Reductions in documentation, along with the appointment of trained intake clinicians later involved in treatment, improved access and helped establish engagement [31,32].
Staff supervision
Several issues arose regarding supervision of staff. In the Italian system, the provision of clinical supervision was low, with at most 12.5% of teams offering supervision in northern regions, with no provision in the south. The Australian EPPIC and San Francisco PREP models noted that nonmandating clinical supervision impeded implementation [14,30]. EPPIC developed a workforce development plan requiring clinical supervision on a minimum fortnightly basis. In a Northumberland EIP service [28], a clinical psychologist provided supervision to all practitioners, regardless of specialism. Regular supervision for staff in rural regions reduces feelings of isolation [34], while hub and spoke models led to some confusion as to who was responsible for the supervision of spoke staff embedded within CMHTs [36].
Infrastructure
In Central and Eastern Europe, the most commonly cited limitation to implementation was inadequate infrastructure, with many services operating within hospital settings [43]. Staff may lack appropriate facilities within hub and spoke models specifically due to the often virtual operation of hubs. In Northumberland [28], this impeded attempts to improve patient engagement. As the average EIP patient is often younger than in general mental health services, youth-friendly, low stigma out-patient settings that are easily accessible are vital.
Staff barriers and facilitators
Staff attributes
The skills and competencies required to work within EIP services was described in nine studies. A range of competencies were described: safety and risk management; EIP model knowledge; treatment knowledge; ability to engage with young people; confidence in treatment delivery [28]; understanding recovery principles [32]; ability to instil therapeutic optimism; willingness to diagnose; belief in EIP ethos; enacting service change [30]; creativity in patient engagement [27]; and ability to adapt therapies; [40]. EIP services often adopt collaborative approaches, focusing on goals, resources and achievements, often a departure from traditional approaches [32]. Similarly, staff can be expected to share therapeutic roles and responsibilities, regardless of professional background [42]. This necessitates a willingness to engage in “mundane” tasks, like visiting cinemas or offering lifts.
Recruitment and retention
Issues relating to staff recruitment and retention were discussed in five studies. Powell et al. [34] reported that recruitment was a major barrier to implementation in the United States, suggesting teams identify the skills that best complement existing team dynamics prior to role-filling. High staff turnover was seen as a concern, particularly in the early months of teams’ existence [44], leading to disruptions in the establishment of team processes [35]. Due to under-financing, staff may work beyond capacity for long periods, feel excessive pressure to meet targets, leading to the erosion of morale and good will [42]. Emotional support, supportive leadership styles and positive work climates are necessary [34].
Discussion
Main findings
This systematic review and narrative synthesis provides data from 23 studies and identified three over-arching domains that influence implementation: system, service, and staff-level factors, with 14 associated subdomains. There was considerable overlap between subdomains. Barriers and facilitators to implementation were common across many countries and regions.
The most common barrier was funding. This issue played a demonstratable role in many subdomains, for example, the preimplementation landscape, staff training, referral and outreach practices, caseload targets, and the ability to monitor and evaluate services. Funding deficits are likely partly fueled by political disinterest. It is of concern that insufficient budgets, and the indexing of budgets to performance, caused service adaptations without associated evaluation, threats to fidelity and the ability to replicate and “scale-up” services. That budgeting issues underlie so many subdomains also suggests that sufficient funding of EIP services, while not the only antidote, could assist in overcoming many attendant barriers. Funding programs in a post-COVID context may become difficult, particularly in low- and middle-income countries (LMICs). In LMICs EIP prioritization may be achieved via increased political will, legislative change, better allocation of resources, and organization, increasing the mental health workforce, reducing funding to hospitals while increasing community spending, and greater patient involvement in service design. In Western countries, the same principles apply, coupled with progressive taxation based on income and wealth, and legislating for minimum mental health budgets of at least 15%.
It is a truism that the existing healthcare landscape will significantly influence implementation. The extent of existing staffing levels, governance structures, clinical networks, collaborations, evaluative capacity, and prior investment predict success. The studies in this review did not describe “treatment as usual” prior to EIP implementation, but the barriers identified align with common macro-level barriers in health service reform more generally, such as inertia to change, regulatory challenges, operational complexity, and unclear financial and governance processes [58,59]. The symbiotic relationship between and within domains suggests pre-implementation evaluation, using validated measurement, of all aspects of the health system context could aid the development of EIP models [60], and better predict the local adaptations necessary.
The system domains are generic to most health and mental health services. Lessons could be drawn from other specialities. Stroke care also emphasizes early intervention and underwent substantial reform in London in 2008 [61]. Program leaders wielded significant political power, required rigorous performance measurement to achieve accreditation, and previous system failures led to a focus on implementing small numbers of only essential priorities [62]. While lessons from other medical specialities necessitating early intervention are useful, EIP barriers and facilitators could also prove useful in other settings. Nonetheless, services for severe mental illnesses face a unique set of challenges [16].
Many of the service and staff-level domains were specific to EIP provision, such as the necessitation of strong referral partnerships and collaboration across and between governmental organizations. EIP models require clear supervisory lines of support and training so staff embedded in CMHTs and rural areas do not face isolation. The studies included in this review did not provide specific information on staff training, however such programs exist (e.g., the NHS’s Health Education England elearning course and the OnTrack New York initiative). A future review on their specific components and differences could be useful. The literature highlights a set of unique EIP competencies with staff required to embrace new ways of working, and a fluidity in professional identity. Finally, funding systems must recognize the developmental and outreach aspects of EIP services, alongside the attainment of clinical targets [42]. Some guarantees of consistent financial support could reduce uncertainty and build trust amongst staff.
Limitations
There are several limitations. We included studies available in English only, likely underrepresenting non-English speaking countries. We included implementation descriptions with no associated methodologies, which precluded quality assessment of all studies. Of studies employing methodologies, much detail on barriers and facilitators was extracted from discussions, although this real-world information is likely a good representation of experience. This review describes findings from healthcare systems where EIP services are implemented which will differ to those where no EIP exists. Few studies included formal assessments of implementation, utilized implementation frameworks or applied fidelity measures, limiting the strength of evidence, and there was wide variability in the type of EIP descriptions published. A strength however is that many of the domains identified in the narrative synthesis mirror items in Addington’s [8] fidelity scale, suggesting ecological validity. We adopted a bottom-up approach to data analysis, guided by thematic analysis, rather than adopting an implementation framework like the Consolidated Framework for Implementation Research to guide data analysis. Such an approach may have yielded differing results. Finally, stakeholders’ views on EIP efficacy did not emerge as a theme within survey of the literature, but a belief in a lack of EIP efficacy could lead to views that EIP investment is unjustified. Unfortunately, we cannot comment on this.
Conclusion
Despite these limitations, this review highlights the generic and specific challenges to EIP implementation and sustainability with practical implications. The commonalities between domains suggest multiple potential avenues through which implementation can be driven. EIP has promoted recovery and increased access to care, but coverage is inconsistent. A better understanding of the EIP implementation gap and the ways in which it can be overcome, helps ensure these services can be accessed by a wider range of patients and families.
Acknowledgments
The authors thank Ireland’s new EIP Model of Care staff for their support throughout this research project.
Author Contributions
Conceptualization: N.O.C., C.D and K.O.C.; Data curation: N.O.C., D.M.G., and L.V.; Formal analysis: N.O.C., D.M.G., and L.V.; Methodology: N.O.C., C.D. D.M.G., L.V., and R.J.; Project administration: N.O.C. and D.M.G.; Funding acquisition: C.D., K.O.C. and R.J.; Supervision: C.D. K.O.C.; Validation: C.D. D.M.G. and L.V.; Writing – original draft: N.O.C.; Writing – review & editing: N.O.C., C.D., K.O.C., D.M.G., L.V., and R.J.
Data Availability Statement
Data that supports the findings of this study are available from the corresponding author upon reasonable request.
Financial Support
This work was supported by the Health Service Executive of Ireland’s ‘National Clinical Programme for Early Intervention in Psychosis’.
Conflicts of Interest
The authors declare no conflicts of interest.
Supplementary Material
To view supplementary material for this article, please visit http://doi.org/10.1192/j.eurpsy.2021.2260.
click here to view supplementary material
References
- [1].Nielsen RE, Uggerby AS, Jensen SO, McGrath JJ. Increasing mortality gap for patients diagnosed with schizophrenia over the last three decades—a Danish nationwide study from 1980 to 2010. Schizophr Res. 2013;146(1–3):22–7. [DOI] [PubMed] [Google Scholar]
- [2].Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2129–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Jongsma HE, Gayer-Anderson C, Lasalvia A, Quattrone D, Mulè A, Szöke A, et al. Treated incidence of psychotic disorders in the multinational EU-GEI study. JAMA Psychiatry. 2018;75(1):36–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Jääskeläinen E, Juola P, Hirvonen N, McGrath JJ, Saha S, Isohanni M, et al. A systematic review and meta-analysis of recovery in schizophrenia. Schizophr Bull. 2013;39(6):1296–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Marshall M, Lewis S, Lockwood A, Drake R, Jones P, Croudace T. Association between duration of untreated psychosis and outcome in cohorts of first-episode patients: a systematic review. Arch Gen Psychiatry. 2005;62(9):975–83. [DOI] [PubMed] [Google Scholar]
- [6].Larsen TK, Melle I, Auestad B, Haahr U, Joa I, Johannessen JO, et al. Early detection of psychosis: positive effects on 5-year outcome. Psychol Med. 2011;41(7):1461–9. [DOI] [PubMed] [Google Scholar]
- [7].Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA. 2004;291(21):2581–90. [DOI] [PubMed] [Google Scholar]
- [8].Addington D, Norman, R., Bond, G.R., Sale, T., Melton, R., McKenzie, E., Wang, J. Development and Testing of the First-Episode Psychosis Services Fidelity Scale. Psychiatr Serv. 2016;67(9):1023–5. [DOI] [PubMed] [Google Scholar]
- [9].Maric NP, Petrovic SA, Raballo A, Rojnic-Kuzman M, Klosterkötter J, Riecher-Rössler A. Survey of the European Psychiatric Association on the European status and perspectives in early detection and intervention in at-risk mental state and first-episode psychosis. Early Interv Psychiatry. 2019;13(4):853–8. [DOI] [PubMed] [Google Scholar]
- [10].Addington DE. Performance measures for evaluation and quality improvement in the care of individuals with a First Episode Psychosis. Rockille, MD: Agency for Healtcare Research and Quality; 2011. [Google Scholar]
- [11].Csillag C, Nordentoft M, Mizuno M, McDaid D, Arango C, Smith J, et al. Early intervention services in psychosis: from clinical intervention to health system implementation. Early Interv Psychia. 2018;12:757–64. [DOI] [PubMed] [Google Scholar]
- [12].McGorry PD. Plenary session: the next stage for early intervention: transdiagnostic, personalised, universal. Early Interv Psychia. 2016;10(S1):3–6. [Google Scholar]
- [13].McGorry PD, Ratheesh A, O’Donoghue B. Early intervention—an implementation challenge for 21st century mental health care. JAMA Psychiatry. 2018;75(6):545–6. [DOI] [PubMed] [Google Scholar]
- [14].Hardy KV, Moore M, Rose D, Bennett R, Jackson-Lane C, Gause M, et al. Filling the implementation gap: a community-academic partnership approach to early intervention in psychosis. Early Interv Psychia. 2011;5(4):366–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Pelosi AJ, Birchwood M. Is early intervention for psychosis a waste of valuable resources? Br J Psychiatry. 2003;182:196–8. [DOI] [PubMed] [Google Scholar]
- [16].Millard C, Wessely S. Parity of esteem between mental and physical health. BMJ. 2014;349:g6821. [DOI] [PubMed] [Google Scholar]
- [17].Eccles MP, Mittman BS. Welcome to Implementation Science. Implement Sci. 2006;1(1):1. [Google Scholar]
- [18].Best A, Greenhalgh T, Lewis S, Saul JE, Carroll S, Bitz J. Large-system transformation in health care: a realist review. Milbank Quarter. 2012;90(3):421–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Paul CL, Ryan A, Rose S, Attia JR, Kerr E, Koller C, et al. How can we improve stroke thrombolysis rates? A review of health system factors and approaches associated with thrombolysis administration rates in acute stroke care. Implement Sci. 2016;11(1):51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].McDaid D, Park AL, Iemmi V, Adelaja B, Knapp M. Growth in the use of early intervention for psychosis services: an opportunity to promote recovery amid concerns on health care sustainability; 2016.
- [21].Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Popay J, Roberts, H., Snowden, A., Petticrew, M., Arai, L., Rodgers, M., Britten, N., Roen, K., Duffy, S. Guidance on the conduct of narrative synthesis in systematic reviews. Lancaster, UK: Institute of Health Research; 2006. [Google Scholar]
- [23].Geerligs L, Rankin NM, Shepherd HL, Butow P. Hospital-based interventions: a systematic review of staff-reported barriers and facilitators to implementation processes. Implement Sci. 2018;13(1):36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101. [Google Scholar]
- [25].Cranwell K, Polacsek M, McCann TV. Improving mental health service users’ with medical co-morbidity transition between tertiary medical hospital and primary care services: a qualitative study. BMC Health Serv Res. 2016;16(1):302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Pluye P, Robers, E., Cargo, M., Bartlett, G., O’Cathain, A., Griffiths, F., Boardman, F., Gagnon, M.P., Rousseau, M.C., Robert, E. Proposal: a mixed methods appraisal tool for systematic mixed studies reviews, http://mixedmethodsappraisaltoolpublic.pbworks.com/w/page/24607821/FrontPage; 2011.
- [27].Baumann PS, Crespi S, Marion-Veyron R, Solida A, Thonney J, Favrod J, et al. Treatment and early intervention in psychosis program (TIPP-Lausanne): implementation of an early intervention programme for psychosis in Switzerland. Early Interv Psychia. 2013;7(3):322–8. [DOI] [PubMed] [Google Scholar]
- [28].Brabban A, Dodgson G. What makes early intervention in psychosis services effective? A case study. Early Interv Psychia. 2010;4(4):319–22. [DOI] [PubMed] [Google Scholar]
- [29].Essock SM, Kontos N. Implementing assertive community treatment teams. Psychiatr Serv. 1995;46(7):679–83. [DOI] [PubMed] [Google Scholar]
- [30].Hetrick SE, O’Connor DA, Stavely H, Hughes F, Pennell K, Killackey E, et al. Development of an implementation guide to facilitate the roll-out of early intervention services for psychosis. Early Interv Psychia. 2018;12(6):1100–11. [DOI] [PubMed] [Google Scholar]
- [31].Iyer S, Jordan G, Macdonald K, Joober R, Malla A. Early intervention for psychosis: A Canadian perspective. J Nerv Ment Dis. 2015;203(5):356–64. [DOI] [PubMed] [Google Scholar]
- [32].Kelly J, Wellman N, Sin J. HEART—the Hounslow Early Active Recovery Team: Implementing an inclusive strength-based model of care for people with early psychosis: practice development. J Psychiatr Ment Health Nurs. 2009;16(6):569–77. [DOI] [PubMed] [Google Scholar]
- [33].McGorry PD, Yung AR. Early intervention in psychosis: an overdue reform. Aust N Z J Psychiatry. 2003;37(4):393–8. [DOI] [PubMed] [Google Scholar]
- [34].Powell A-L, Hinger C, Marshall-Lee ED, Miller-Roberts T, Phillips K. Implementing coordinated specialty care for first episode psychosis: a review of barriers and solutions. Community Ment Health J. 2021; 57(2): 268–276. [DOI] [PubMed] [Google Scholar]
- [35].Reilly J, Newton R, Dowling R. Implementation of a first presentation psychosis clinical pathway in an area mental health service: the trials of a continuing quality improvement process. Austr Psychiatry. 2007;15(1):14–8. [DOI] [PubMed] [Google Scholar]
- [36].Cheng C, Dewa CS, Goering P. Matryoshka project: lessons learned about early intervention in psychosis programme development. Early Interv Psychia. 2011;5(1):64–9. [DOI] [PubMed] [Google Scholar]
- [37].Cocchi A, Balbi A, Corlito G, Ditta G, Di Munzio W, Nicotera M, et al. Early intervention in psychosis: a feasibility study financed by the Italian Center on Control of Maladies. Early Interv Psychia. 2015;9(2):163–71. [DOI] [PubMed] [Google Scholar]
- [38].Durbin J, Selick A, Hierlihy D, Moss S, Cheng C. A first step in system improvement: a survey of Early Psychosis Intervention Programmes in Ontario. Early Interv Psychia. 2016;10(6):485–93. [DOI] [PubMed] [Google Scholar]
- [39].Ghio L, Natta W, Peruzzo L, Gotelli S, Tibaldi G, Ferrannini L. Process of implementation and development of early psychosis clinical services in Italy: a survey. Early Interv Psychia. 2012; 6(3):341–6. [DOI] [PubMed] [Google Scholar]
- [40].Gidugu V, Rogers ES, Gordon C, Elwy AR, Drainoni ML. Client, family, and clinician experiences of Open Dialogue-based services. Psychol Serv. 2021; 18(2):154–163. [DOI] [PubMed] [Google Scholar]
- [41].Gorrel J, Cornish A, Tennant C, Rosen A, Nash L, McKay D, et al. Changes in early psychosis service provision: A file audit. Aust N Z J Psychiatry. 2004;38(9):687–93. [DOI] [PubMed] [Google Scholar]
- [42].Lester H, Birchwood M, Bryan S, England E, Rogers H, Sirvastava N. Development and implementation of early intervention services for young people with psychosis: case study. Br J Psychiatry. 2009;194(5):446–50. [DOI] [PubMed] [Google Scholar]
- [43].Maric NP, Andric Petrovic S, Rojnic-Kuzman M, Riecher-Rössler A. Implementation of early detection and intervention services for psychosis in Central and Eastern Europe: current status. Early Interv Psychia. 2019;13(5):1283–8. [DOI] [PubMed] [Google Scholar]
- [44].North CS, Simic Z, Burruss J. Design, implementation, and assessment of a public comprehensive specialty care program for early psychosis. J Psychiatr Pract. 2019;25(2):91–102. [DOI] [PubMed] [Google Scholar]
- [45].Pinfold V, Smith J, Shiers D. Audit of early intervention in psychosis service development in England in 2005. Psychiatr Bull R Coll Psychiatr. 2007;31(1):7–10. [Google Scholar]
- [46].Tiffin PA, Glover G. From commitment to reality: early intervention in psychosis services in England. Early Interv Psychia. 2007;1(1):104–7. [DOI] [PubMed] [Google Scholar]
- [47].White DA, Luther L, Bonfils KA, Salyers MP. Essential components of early intervention programs for psychosis: available intervention services in the United States. Schizophr Res. 2015;168(1–2):79–83. [DOI] [PubMed] [Google Scholar]
- [48].Essock SM, Nossel IR, McNamara K, Bennett ME, Buchanan RW, Kreyenbuhl JA, et al. Practical monitoring of treatment fidelity: examples from a team-based intervention for people with early psychosis. Psychiatr Services. 2015;66(7):674–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Wisdom JP, Knapik S, Holley MW, Van Bramer J, Sederer LI, Essock SM. Best practices: New York’s outpatient mental health clinic licensing reform: using tracer methodology to improve service quality. Psychiatr Serv. 2012;63(5):418–20. [DOI] [PubMed] [Google Scholar]
- [50].Essock SM, Goldman HH, Hogan MF, Hepburn BM, Sederer L, Dixon LB. State Partnerships for First-Episode Psychosis Services. Psychiatr Serv. 2015;66(7):671–3. [DOI] [PubMed] [Google Scholar]
- [51].McDonald K, Ding T, Ker H, Dliwayo TR, Osborn DPJ, Wohland P, et al. Using epidemiological evidence to forecast population need for early treatment programmes in mental health: a generalisable Bayesian prediction methodology applied to and validated for first-episode psychosis in England. Br J Psychiatry. 2021;219(1):383–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [52].Beiser M, Erickson D, Fleming JA, Iacono WG. Establishing the onset of psychotic illness. Am J Psychiatry. 1993;150(9):1349–54. [DOI] [PubMed] [Google Scholar]
- [53].Häfner H, Riecher-Rössler A, Hambrecht M, Maurer K, Meissner S, Schmidtke A, et al. IRAOS: an instrument for the assessment of onset and early course of schizophrenia. Schizophr Res. 1992;6(3):209–23. [DOI] [PubMed] [Google Scholar]
- [54].Singh SP, Cooper JE, Fisher HL, Tarrant CJ, Lloyd T, Banjo J, et al. Determining the chronology and components of psychosis onset: the Nottingham Onset Schedule (NOS). Schizophr Res. 2005;80(1):117–30. [DOI] [PubMed] [Google Scholar]
- [55].Department of Health. The mental health policy implementation guide. London: Department of Health, UK; 2001. [Google Scholar]
- [56].NHS England. Implementing the early intervention in psychosis access and waiting time standard: guidance; 2016.
- [57].Birchwood M, Connor C, Lester H, Patterson P, Freemantle N, Marshall M, et al. Reducing duration of untreated psychosis: care pathways to early intervention in psychosis services. Br J Psychiatry. 2013;203(1):58–64. [DOI] [PubMed] [Google Scholar]
- [58].Maruthappu M, Hasan A, Zeltner T. Enablers and barriers in implementing integrated care. Health Syst Reform. 2015;1(4):250–6. [DOI] [PubMed] [Google Scholar]
- [59].Darker CD, Nicolson GH, Carroll A, Barry JM. The barriers and facilitators to the implementation of National Clinical Programmes in Ireland: using the MRC framework for process evaluations. BMC Health Serv Res. 2018;18(1):733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [60].Weiner BJ, Mettert KD, Dorsey CN, Nolen EA, Stanick C, Powell BJ, et al. Measuring readiness for implementation: a systematic review of measures’ psychometric and pragmatic properties. Implement Res Pract. 2020;1:2633489520933896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Morris S, Hunter RM, Ramsay AIG, Boaden R, McKevitt C, Perry C, et al. Impact of centralising acute stroke services in English metropolitan areas on mortality and length of hospital stay: difference-in-differences analysis. BMJ. 2014;349:g4757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [62].Turner S, Ramsay A, Perry C, Boaden R, McKevitt C, Morris S, et al. Lessons for major system change: centralization of stroke services in two metropolitan areas of England. J Health Serv Res Policy. 2016;21(3):156–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
To view supplementary material for this article, please visit http://doi.org/10.1192/j.eurpsy.2021.2260.
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Data Availability Statement
Data that supports the findings of this study are available from the corresponding author upon reasonable request.