Positive mental health, classification and the whole clinical picture.

Positive mental health refers to positive aspects of emotional, psychological and social health, not simply the absence of symptoms.

Research on positive mental health commonly includes experiences such as positive affect and life satisfaction, effective psychological functioning and social wellbeing. The exact definition varies across traditions. PHCF uses positive mental health as a clinically relevant information domain that can coexist with mental disorder rather than as the opposite end of a single illness scale.

No. Absence of mental illness and presence of positive mental health are related, but they are not identical.

The two-continua model associated with Keyes and later work by Westerhof and Keyes treats mental illness and positive mental health as distinct dimensions. That means a low level of symptoms does not automatically imply flourishing, and the presence of a disorder does not automatically mean that every positive aspect of mental health is absent.

Yes. Positive functioning and mental disorder can coexist.

A person can meet criteria for a disorder while retaining meaningful relationships, purpose, agency, coping capacity or other forms of positive health. The pattern can also reverse. Someone may have little diagnosable psychopathology while experiencing low wellbeing, limited meaning or weak social connection. PHCF is designed around the clinical importance of describing both sides rather than forcing them onto a single continuum.

It proposes that mental illness and positive mental health are two related but distinct dimensions.

Instead of treating health as a line running from severe illness to flourishing, the dual-continua approach allows different combinations of symptoms and wellbeing. The model is important for PHCF because it supports the broader proposition that diagnosis alone cannot fully describe the positive-health profile of an individual.

Flourishing is an important positive-mental-health concept, but PHCF is broader than a flourishing classification.

Flourishing usually refers to high wellbeing and positive functioning. PHCF also asks about capacities that may be available even when wellbeing is low, adaptation demonstrated under challenge and resources within the person's environment. A person in acute distress may therefore have a low current positive-health state while still having important capacities, past adaptive achievements and protective resources.

Positive psychology is a broad scientific field. PHCF is a proposed clinical classification framework.

Positive psychology studies topics such as wellbeing, strengths, meaning, positive emotion, engagement, relationships and flourishing. PHCF draws on relevant evidence from that field but asks a different question. It asks how clinically relevant positive-health information can be organised and recorded in a consistent classification architecture alongside diagnosis, risk and functioning.

Huber and colleagues reframed health around the ability to adapt and self-manage, then operationalised a broad Positive Health concept across six dimensions.

The six dimensions reported in the 2016 study were bodily functions, mental functions and perception, a spiritual or existential dimension, quality of life, social and societal participation and daily functioning. The work is highly relevant to the wider positive-health landscape because it shows how health can be described beyond disease status. PHCF differs in purpose. It is aimed at mental-health classification and explicitly separates current state, capacities, demonstrated adaptation and resource ecology.

No. Positive health remains a contested and developing concept.

A systematic scoping review found no single agreed definition. Definitions have included health beyond the absence of disease, wellbeing, resilience and reserves of capacity. PHCF therefore does not assume that one existing positive-health construct already provides a complete clinical classification. Its architecture makes explicit claims that can be tested and, if necessary, revised or rejected.

A whole-person assessment integrates diagnosis and difficulties with functioning, context, strengths, resources, goals and other clinically relevant information.

PHCF contributes one possible structured positive-health layer. It is designed to sit beside the source clinical classification, symptom assessment, risk, functioning, quality of life and formulation. The aim is not to collapse these into one score. The aim is to preserve their differences while making the positive-health part of the clinical picture easier to describe.

Strengths and protective factors can be assessed explicitly rather than left as informal narrative impressions.

Clinical work already considers factors such as social support, coping skills, interests, treatment engagement and resources that may reduce risk or support recovery. PHCF extends this logic by distinguishing positive health that is currently experienced, capacities that appear available, adaptation shown in the past and resources that are actually accessible or usable.

Strengths-based assessment deliberately identifies abilities, resources, relationships and adaptive processes as well as problems.

PHCF shares that orientation but is not simply a strengths checklist. It also records uncertainty, evidence and context. A resource can exist but be inaccessible. A capacity can appear potentially available without having been demonstrated under major challenge. A person can have meaningful strengths while still requiring intensive treatment for serious symptoms or risk.

They can be recorded as complementary layers rather than averaged into one overall judgement.

A clinical record can retain diagnosis, symptom burden and risk while separately describing positive-health information. PHCF's proposed structure is designed for that purpose. The approach avoids a common problem in holistic language, where important differences between symptoms, functioning, wellbeing, strengths and environmental resources become blurred.

Protective factors are characteristics, relationships, resources or circumstances associated with reduced vulnerability or better outcomes under challenge.

The term is used in several clinical and research traditions. Protective factors can include internal and external elements. PHCF's Protective Resource Ecology focuses specifically on resources within and around the person and asks whether they are available, accessible, usable and mobilised. That distinction matters because a resource that exists on paper may not be available when it is needed.

Functioning, quality of life and positive health overlap, but they answer different questions.

Functioning describes what a person can do in activities and participation. Quality of life captures how a person evaluates important aspects of life. PHCF asks additional questions about positive experience, adaptive capacities, demonstrated adaptation and the resource environment. The framework therefore treats functioning and quality of life as important adjacent information rather than substitutes for positive-health classification.

PHCF is a developmental framework for classifying positive mental health alongside conventional clinical information.

Its purpose is to provide a structured language for positive-health information that is often clinically relevant but inconsistently recorded. The framework is authored by Paul D. Kremer and is currently available for scholarly, clinical and research evaluation. See the PHCF framework.

The Universal Core classifies four kinds of positive-health information.

Current Positive Health State asks what positive mental health is being experienced now. Positive Health Capacities asks what adaptive psychological capabilities appear available or potentially mobilisable. Demonstrated Adaptation asks what the person's history shows they have been able to mobilise under meaningful challenge. Protective Resource Ecology asks what resources exist within and around the person and whether they are available, accessible, usable or mobilised.

No. PHCF is designed to complement diagnostic systems, not replace them.

The source clinical classification remains external to PHCF. A clinician or researcher can retain DSM, ICD, HiTOP or another recognised clinical formulation and then add the positive-health layer where appropriate. PHCF therefore does not claim that symptoms, diagnosis or risk can be replaced by strengths or wellbeing.

PHCF is a classification system for positive-health information, not a diagnostic system for mental disorder.

It does not determine whether a person meets criteria for depression, PTSD, psychosis or another disorder. Clinical Presentation Modules are intended to add presentation-relevant positive-health information only when justified, while retaining a common transdiagnostic core.

No. A scale measures a construct. PHCF proposes a broader classification architecture.

A wellbeing questionnaire can be valuable evidence for part of a PHCF assessment, but PHCF also distinguishes capacities, demonstrated adaptation and environmental resources. The framework also records the source and strength of evidence and is intended to support structured description rather than produce a single global wellbeing score.

RDoC and HiTOP address different problems in the science and classification of psychopathology.

PHCF does not seek to replace either approach. It asks whether a positive-health information layer can add clinically useful information regardless of whether the source clinical description is categorical, dimensional or transdiagnostic. Read the PHCF overview of RDoC and HiTOP.

No. Reliability and validity have not yet been established.

The conceptual architecture and recording logic are developed, but construct structure, inter-rater reliability, incremental validity, predictive value, cultural validity, responsiveness to change and clinical utility require empirical testing. PHCF explicitly treats disconfirmation as part of the research programme. See the research priorities.

Their primary classification purpose is mental disorder and health condition classification, not a dedicated positive-mental-health classification.

DSM-5-TR remains a manual for mental disorders. WHO's ICD-11 Clinical Descriptions and Diagnostic Requirements support the identification and diagnosis of mental, behavioural and neurodevelopmental disorders. Clinicians can and do document strengths, functioning, quality of life and context around these systems, but that is different from having a dedicated positive-health classification architecture.

APA's 2026 roadmap discusses a more flexible future structure that could incorporate context, functioning, quality of life, severity and transdiagnostic features more systematically.

The roadmap also considers biological factors and socioeconomic, cultural and environmental determinants. These proposals matter to PHCF because they show that a complete psychiatric description may increasingly extend beyond a categorical diagnosis alone. PHCF's separate proposition is that structured positive-health information may also add incremental clinical value. Read the PHCF analysis of the future DSM.

APA has publicly discussed a more frequently updated, digital-first living model as one possible direction.

A digital format makes versioning, structured content and iterative updating easier. It also raises a design question for PHCF. If classification is increasingly digital, the PHCF manual should function not only as a book but also as a versioned specification that can support software, training and research workflows.

ICD-11 was designed for digital use and provides APIs and structured identifiers that software can integrate.

WHO describes ICD-11 as digital health ready, and the ICD API provides programmatic access to classification content. The 2026 release further emphasises interoperability and digital health at scale. PHCF can learn from that architecture without claiming equivalence with ICD. A future PHCF digital system would need clear versioning, stable definitions and interoperable data structures of its own. Read the PHCF ICD-11 overview.

It is a testable possibility, not an established direction.

Current reform discussions already give greater attention to functioning, quality of life, context, resilience and recovery-related information. A dedicated positive-health layer would go further. The relevant question is empirical. Does structured positive-health classification improve understanding, treatment planning, prediction, communication or outcomes beyond information clinicians already collect?

The priority is to test whether the proposed components are distinguishable, reproducible and useful.

Key questions include construct structure, inter-rater reliability, convergent and discriminant validity, incremental validity, longitudinal prediction, responsiveness to change, cultural and developmental validity, clinical utility and implementation feasibility. Clinical Presentation Modules also require separate development and testing.

PHCF would need to add useful information beyond what is already captured by diagnosis, symptoms, risk, functioning, quality of life and existing positive-mental-health measures.

If PHCF does not add information, prediction or clinical usefulness beyond those sources, its additional classification burden may not be justified. Incremental validity is therefore one of the framework's central falsifiable propositions.

Studies can test reliability from common case material, compare PHCF profiles with established measures and examine whether classifications predict meaningful outcomes.

Potential designs include vignette studies, clinical record studies, prospective cohorts, repeated-measures studies, cross-cultural validation and implementation research. The framework can also be tested for failure cases, overlap, redundancy and unintended cultural or moral assumptions.

Yes. Independent testing, replication and critical evaluation are encouraged.

The research programme is deliberately open to findings that modify or disconfirm the framework. Researchers can use the published framework, Classification Manual, worksheets and quick references as the current public specification. Open the publications and downloads.

The PHCF research page provides the current collaboration pathway.

Areas of interest include independent validation, measurement and psychometrics, clinical utility, cultural and developmental validity, Clinical Presentation Modules and implementation or service evaluation. Contribute to PHCF research.

Yes. The current release includes structured worksheets and quick-reference resources.

The resources include the PHCF Classification Worksheets, the Universal Core Quick Reference and the Clinical Presentation Modules Quick Reference. They are available from the publications and resources page and support use of the current manual rather than acting as validated diagnostic instruments.

The Classification Manual is available as a stable Version 1 reference and through the PHCF manual page.

The manual contains the classification architecture, definitions, recording logic, evidence requirements, interpretive cautions and application guidance. Open the Classification Manual overview.

A digital classification workflow is a planned development direction. It is not yet a validated public clinical application.

The intended model is to translate the manual into a guided digital workflow that can help a user record evidence across the Universal Core and generate a structured positive-health profile. Early versions should avoid unnecessary storage of identifiable clinical data and should preserve the distinction between a developmental classification aid and a validated clinical instrument.

That is the planned direction for the digital manual.

A living manual can make individual definitions, modules, qualifiers and examples directly linkable while preserving stable versioned releases for research and citation. The book remains the stable release. The online manual can become the navigable specification behind future classification tools.

A Moodle-based learning pathway is planned as part of the wider PHCF ecosystem.

The learning environment can introduce the conceptual rationale, teach the Universal Core, work through examples and support consistent use of the recording system. A public link will be added when the learning module is ready for release.

PHCF was developed by Paul D. Kremer.

The current framework, Classification Manual and companion resources form a developmental research programme. The work is presented openly so its concepts, measurement, clinical utility and limitations can be tested. Read about the work.