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Community-Based Mental Health Programs and Evaluating Therapeutic Effectiveness
Abnormal Psychology · Chapter 24: Therapeutic Approaches in Mental Health PracticeSection 24.4 · lesson 93 of 9716 min · free with a free account
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In this lesson
How care is organized - and how we know whether it works.
- Describe the principal community service models and stepped care
- Explain how effectiveness is evaluated, distinguishing efficacy from effectiveness
- Interpret evidence about routine practice, including its limits
- Explain why equity of access and outcome is part of the evidence
Transcript
Everything said in the video, section by section (2,205 words). Read along, or search it.
Therapeutic Approaches in Mental Health Practice
Community Services and Evaluating Effectiveness
This section has two parts. Part one describes community-based mental health services, the principal service models, and the stepped care principle. Part two asks how therapeutic effectiveness is evaluated. It distinguishes efficacy from effectiveness, and asks what the evidence supports in routine practice, including its limits and its equity.
Before You Begin
Services Described Generically
This material is educational. It is not a basis for self-diagnosis, or for diagnosing others. No service is named anywhere in this course. Crisis services are described by type only. If you need support, please speak with a qualified professional, or your local crisis services.
Part 1: The Historical Shift
Deinstitutionalization, Described Honestly
Deinstitutionalization, introduced in section one point two, is the movement of care from large institutions into community settings. Both simple accounts of it are wrong. The intended benefit was real. Institutional care as it existed produced documented harm. It removed people from ordinary life for decades, and it was not necessary for most of those subjected to it. The intention was that community provision would replace it. What often happened instead was that institutions closed, and the provision was not funded, or funded at a fraction of what closure released. The consequences included homelessness and criminal justice involvement for some people. And they were consequences of under-provision, not of the principle. So it was neither a straightforward success, nor a simple failure. The policy was right, and the implementation often was not. The distinction matters, because the failures are regularly used to argue for the institutions, rather than for the funding.
Figure 24.4.1 - Stepped Care
Intensity Matched to Need
Services are organized in levels. Stepped care is the principle that intensity should match need. People start at the least intensive level likely to help, and move up or down as required. Intensity rises from left to right. But look at the two arrows before the levels. The model depends on movement in both directions. A system where stepping up is slow, or where the lower levels do not exist, is not stepped care. It is rationing with a diagram.
Table 24.4.2
The Levels of Care
This table sets out the levels of care. Read the last column, for when each level is the right one, rather than just the available one. Primary care suits common presentations of mild to moderate severity. Guided self-help and brief interventions are a genuine first step, not a holding position. Community mental health teams are right where complexity is high, or primary care support is not enough. Day services and rehabilitation suit people for whom functional recovery, rather than symptom change, is the priority. Crisis services are right where admission might otherwise follow, and can be avoided. Inpatient care is for when less restrictive options are not enough. And specialist tertiary services are for rare or highly complex presentations, where the expertise does not exist locally. Notice that most need is met in the first two rows.
The Models Within the Levels (1)
Front Line, Teams, and Outreach
Primary care is the front line. Most common mental health conditions are managed there. But detection rates run below prevalence, because of time, competing demands, and presentations that arrive as physical complaints. Collaborative care, a case manager working alongside the primary clinician with specialist supervision available, has the best evidence for improving this. Community mental health teams are multidisciplinary, with care coordination as their organizing function. They hold a plan across the services a person uses. Assertive community treatment, from section nineteen point five, is an intensive model for people with severe conditions who do not engage with conventional services. It is characterized by small caseloads and outreach, and its evidence is best where the alternative is repeated admission.
The Models Within the Levels (2)
Crisis, Early Intervention, and Recovery
Crisis services include crisis lines, crisis resolution and home treatment teams, and crisis houses. Their aim is to avoid admission, where it can safely be avoided. Early intervention services are specialist services for first-episode psychosis. They are justified by the duration-of-untreated-psychosis finding, and supported by good evidence. Rehabilitation and supported living aim at functional recovery. And supported employment and supported education follow the same aim. Supported employment has better evidence than the train-then-place models it replaced.
Peers, Co-Production, Prevention
What No Clinician Can Supply
Peer support and service-user involvement deserve separate treatment. Peer workers are people with lived experience, employed in a service role. They bring something no clinician can supply. Co-production brings the perspective of people who have used a service into how it is built. The evidence is developing, and generally positive. The tensions are real too. Role clarity. Whether peer roles are supported, or merely cheap. And the risk that involvement becomes consultation on decisions already made. Prevention applies the universal, selective, and indicated levels from section twelve point four at population scale. School and workplace programs have mixed evidence. Some have no effect while others do, with the same plausibility. That is the argument for evaluation, rather than for enthusiasm.
Digital Delivery and Integration
An Equity Question That Cuts Both Ways
Digital and remote delivery covers telehealth, guided self-help, and structured digital programs. The evidence on effectiveness is reasonable for several presentations. Engagement and completion are the weaker points. The equity question cuts both ways. Digital provision reaches people whom geography or working patterns exclude. And digital-first provision excludes people without devices, connectivity, privacy at home, or confidence. Integration with physical health services also matters. Given the mortality gap, and the two-way link between physical and psychological health, separate services are a structural problem, not an inconvenience.
The Treatment Gap
Who Receives No Treatment
The treatment gap is the proportion of people with a mental health condition who receive no treatment. It is a global finding, and it is largest in low- and middle-income countries, where section twenty-five point three takes up the response. Its causes are workforce shortages, funding, physical and financial access, stigma, and detection failures. Each is addressable by different means. Access is also patterned. Income, geography, and ethnicity all predict whether a person receives care, and what care they receive, as chapter eight established. The competing explanations from section eight point three apply in full. Differential need, help-seeking, detection, and offering, and measurement developed in one population. No group deficit is asserted by any of them.
Coercion in Community Settings
Community Treatment Orders
Coercion in community settings is exercised through community treatment orders, and similar mechanisms. They require a person to accept treatment as a condition of remaining in the community. The argument for them is that they maintain treatment for people who would otherwise disengage and deteriorate, and that the alternative is repeated detention. The argument against is that they extend compulsion into ordinary life, and that the evidence for their effect on outcomes is contested. And the harms of coercion to trust, and to future help-seeking, are real. The legal framework is in chapter twenty-five, and the ethical tension is not resolved here.
In the Clinic
Why Housing and Income Are Clinical Matters
Section twenty-four point one said that a substantial share of outcome is due to factors outside therapy. In practice, those factors have names. Housing, income, safety, immigration status, and whether someone has anything to do during the day. A person without stable housing will not consistently attend, will not practice between sessions, and will not maintain gains. Treating this as outside the clinical remit means delivering an intervention whose preconditions are absent, and then recording non-engagement. The clinically serious response is to address what can be addressed. And to be honest about the ceiling on what treatment can achieve, while it is not.
Part 2: Why Evaluation Matters
Plausibility Is Not Evidence
Part two. Why does evaluation matter? Because plausible interventions can be ineffective, and some are harmful. The examples in this course are not hypothetical. Aggregating young people with conduct difficulties can worsen outcomes, as sections twenty-one point four and twenty-four point two set out. It was introduced because it seemed obviously sensible. Plausibility is not evidence. The only way to know is to look.
Table 24.4.3 - Outcome Domains
The Outcome Chosen Shapes the Conclusion
What outcome should be measured, and who decides? Read the last column. Every domain misses something, so the choice of outcome shapes the conclusion as much as the intervention does. Symptom change is what most treatments target and most trials report. It misses whether life is any better, and functional recovery lags symptoms. Functioning covers work, study, relationships, and daily living. It is slow to move, and sensitive to circumstances outside treatment. Quality of life, almost always self-rated, captures how the person experiences their life. But it is influenced by much that treatment does not touch. Personal recovery goals capture what the person actually wanted, but they are hard to aggregate. And service-level outcomes, like admissions and waiting times, may improve while nobody feels better. Ratings from different sources diverge routinely, and that divergence is informative. Clinicians tend to rate symptoms, people tend to rate life, and families tend to rate burden. The argument from section nineteen point three is that the person's own goals should be the primary measure, because they are the reason the treatment exists.
Table 24.4.4 - Efficacy vs Effectiveness
Trial Conditions Versus Routine Practice
Efficacy is how well an intervention works under trial conditions. Effectiveness is how well it works in routine practice. Interventions reliably perform less well in routine practice, and the reasons are known. Trial populations are narrower, with exclusion criteria, while routine practice sees everyone who presents. Comorbidity is often excluded from trials, but it is the norm in practice. Trial therapists are selected, trained, and often expert. In practice, therapist effects operate at full strength. Trial protocols are monitored, while in practice drift is common, so what is delivered may not be what was tested. And trials add support, such as reminders and extra contact, so part of the trial effect belongs to that support. None of these is a flaw in the trials. Each follows from designing a study to ask whether something can work.
Designs and Their Limits
What Trials and Reviews Can Show
Randomized trials in psychotherapy establish efficacy, and they face specific difficulties. Blinding is largely impossible. Participants know what they are receiving, and so do therapists. The choice of control condition decides what the trial can show. Comparing with a waiting list answers a different question from comparing with an active alternative. And allegiance effects, the tendency for trials to favor the approach their investigators prefer, are documented and substantial. Meta-analysis pools results across studies, and systematic review appraises the evidence by a stated method. Both add precision, and reduce the influence of any single study. But both inherit the weaknesses of what they include. A meta-analysis of poor trials produces a precise estimate of a biased quantity. And both inherit publication bias, from section two point three.
Figure 24.4.5 - Levels of Evidence
Read the Caveats, Not the Ordering
This table summarizes what each level of evidence can establish. Read the caveats, rather than the ordering. The ordering describes what a design can show, in principle. The caveats describe what routinely goes wrong with each. Systematic review and meta-analysis can give a pooled, appraised answer, but both inherit biased trials and unpublished results. Randomized trials show whether something can work, with the problems of blinding, control choice, and allegiance. Routine practice data show whether it works here, for these people, but without experimental control. And case reports show that something can happen. As chapter twenty-three showed, they are selected for detection, and for being unusual.
Practice-Based Evidence
Closing the Gap for This Person, Now
Routine outcome monitoring measures outcome session by session, in ordinary services. Feedback-informed practice returns those measurements to the clinician while treatment is running. The evidence is that this improves outcomes, specifically for people who are not improving. That is the group clinicians are demonstrably poor at identifying without it. It answers the objection that trial evidence describes populations, not the person in front of you. It does. And measuring what is happening with this person, now, is how that gap is closed. Outcome measures are widely experienced as an administrative imposition. Where they are collected and never looked at, that is exactly what they are. Used clinically, they identify early the people whose treatment is not working, while there is still time to change the plan. The test of whether a service uses them clinically is simple. Does anything happen differently when a score does not move?
Cost, Implementation, Harm
Where Interventions Actually Fail
Cost-effectiveness compares the benefit of an intervention with its cost, so that finite resources can be allocated. It is unavoidable. Funding one thing is a decision not to fund another, whether or not it is framed that way. And it raises real questions about how benefit is measured, and whose benefit counts. Implementation science studies the gap between an intervention that works, and one delivered as intended. Its concepts are fidelity, how closely delivery matches the model, and adaptation, changes to fit a setting, which may be necessary, or may hollow the intervention out. Most interventions that fail in routine practice fail here, rather than in principle. And harm in psychological treatment is real, and under-measured. Some people deteriorate, some interventions are actively harmful, and trials report benefit far more consistently than adverse effects. That asymmetry is itself a finding. A treatment literature that does not look for harm will not find much.
Equity and What the Evidence Supports
4 Conclusions, Each Often Overstated
Access and outcome differ systematically across groups, and trial samples rarely represent the populations actually served. So an intervention shown to work in a trial sample has been shown to work in that sample. Whether it works equally across the people a service sees is a further question, often not asked. Taken together, and stated at the level the evidence supports, there are four conclusions. Treatment generally works. No modality is universally superior. Fit and delivery matter as much as choice of model. And social conditions constrain what any treatment can achieve. Each of those four is well supported. And each is regularly overstated, in one direction or the other.
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