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Record W2765222692 · doi:10.5334/ijic.3625

An Integrated Care Charter - Correcting the Organisational Focus Paradox by Empowering the Citizen

2017· article· en· W2765222692 on OpenAlexaboutno aff
Michael Rigby

Bibliographic record

VenueInternational Journal of Integrated Care · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsIntegrated careCharterCONTESTHealth careContext (archaeology)Public relationsNursingCorporate governanceBusinessMedicineKnowledge managementPolitical science

Abstract

fetched live from OpenAlex

An introduction: (comprising background and problem statement) Integrated care is in principle a ‘no contest’ goal – no-one can argue against it. Vertical integration seeks to link secondary care, primary care, and community care, while Horizontal integration seeks to link separate streams of clinical and related activity for persons with multiple conditions, drawing formal, family and societal care into a cohesive patient-focused pattern of care delivery and support. However, the real test of achievement is whether the patient feels care is integrated.Description of policy context and objective: Many organisations are focussing on addressing the organisational challenges, including the World Health Organisation’s WHO global strategy on people-centred and integrated health services, the WHO Regional Office for Europe with its programme Towards people-centred health systems: an innovative approach for better health systems International, the Foundation for Integrated Care’s activities, and the EU Project Integrate and its Conceptual Framework for Integrated care.These all focus on organisations, systems, and governance, which are clearly key determinants of care integration. But while these documents emphasise the importance of putting the patient at the centre (and also family and informal carers), they do not do this practically. There is something missing, and that is the provision of a person-centric definition of integrated care, and the person’s means of recognising and measuring it. Targeted population: Citizens for whom integrated care is appropriate; organisations seeking to deliver integrated care.Highlights: (innovation, Impact and outcomes) The Canadian Health Outcomes for Better Information and Care (C-HOBIC) project has to some degree started on this route by seeking to devise standardised measures of health and functioning of a person in a holistic sense, but this is still largely based on physiological assessment. Several studies have looked at system-based measures of integration, but the citizen is not directly involved. The Policy Innovation Research Institute (2014) devised a recipient-based survey tool. However, what is missing is a proactive tool. Citizen’s Charters and Customer Charters set standards by which the citizen could assess in lay terms whether a service met specified standards, in terms and measures meaningful to the lay citizen. Not least in the English NHS the Patient’s Charter has become an established concept. Such measures inform the citizen as to what they can reasonably expect, empower the citizen (or their advocates) to assess the quality of the service they are receiving, and provide a performance monitor for the organisation.In all the discussion and debate about organisational structures and processes, and changes to them to facilitate integrated care, it is paradoxical that there has been no focus on empowering citizens to identify, measure, or argue for integrated care, not least in their own personal situation.Comments on transferability: The concept is widely transferable, framed in local terms.Conclusions: (comprising key findings, discussion and lessons learned) The presentation will show how this might be achieved by producing the mirror image of organisational tools including those listed above, giving the patient expectations and a means of assessment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.049
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0100.031
Scholarly communication0.0220.031
Open science0.0030.017
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0080.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.287
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
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