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Record W2766949640 · doi:10.5334/ijic.3747

Municipal health conferences in the state of Baden-Wuerttemberg, Germany – ready for initiating and steering primary health care provisions at community level?

2017· article· en· W2766949640 on OpenAlexaboutno aff
Daniel Dröschel, Stefan Walzer, Lutz Vollmer, Alexander Pimperl

Bibliographic record

VenueInternational Journal of Integrated Care · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharterGovernment (linguistics)Work (physics)Health carePublic relationsState (computer science)Political scienceBusinessPublic administrationEconomic growthEngineering

Abstract

fetched live from OpenAlex

Background: According to the Ottawa Charter of the World Health Organization "is Health created and lived by people within the settings of their everyday life; where they learn, work, play, and love." In this way, they attributed a central importance for human health to the "living worlds", such as municipalities, districts or cities. In order to identify the future regional and municipal challenges in the health sector, in the state of Baden-Wuerttemberg at an early stage and to proactively control them, municipal health conferences were introduced in 2013 by the state government. In 2015 these became compulsory for all counties and municipalities and should take place at least once a year, usually under the direction of the district administration. Assessing the current municipal health conferences objectively shows, that only a few well-functioning and working conferences can be identified. Key questions remain: What are the factors that promote and inhibit the establishment? And how can results be measured?Method: The 37 counties / urban areas were examined with regard to their implementation and realization status. In the process, the implementation processes have been analyzed and problem areas were identified through internet searches, interviews and through participation as guests.Results: The diversity of the different structures of the state council offices in Baden-Württemberg is also reflected in the introduction and implementation of health conferences. On the one hand, there are only a few lighthouse projects in which health conferences are seen and used as an active designer of community health care and which have set goals to achieve sustainable outcomes. The overwhelming part of the municipal health conferences shows rather hesitant activities. If any, their activities show a rhythm of one to two annual plenary sessions and interim working groups for a more detailed discussion of topics. Structural introductory errors can be identified as inhibiting factors. The following prerequisites may be identified as promoting factors for the development of the effectiveness of health conferences:The need for excellent expert capacities and committed skills to control the committee and its subgroups, specification or self-elaboration of clear guidelines for action,definition of achievable and measurable target values, as well assystematic evaluation of the results and outcomes.Conclusions: On the whole, health conferences as a driver and designer of regional health care, which is to actively advise and decide on a future-oriented, needs-based health care provisions, remain behind its possibilities. Clear guidelines for action and best-practice examples are encouraging processes in which the relevant stakeholders jointly identify municipal needs, negotiate municipal strengths and weaknesses, and look for new care solutions. The actual possibilities can be found in already well functioning health conferences, which unfortunately are so far still in the minority. At the same time policy processes indicate that legislative changes will lead to a transfer of power to initiate primary health care provisions at community level to municipally authorities. Therefore, municipally should strengthen activities in order to be prepared for future tasks and responsibilities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.222
GPT teacher head0.506
Teacher spread0.284 · 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 teacher head, not a consensus.

Study designQualitative
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
Has abstractyes

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