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Record W2808386557 · doi:10.5539/ilr.v7n1p227

Policy of Primary Health Center as First Level Health Facility for Participants of Social Health Insurance Provider Sidoarjo – Indonesia

2018· article· en· W2808386557 on OpenAlexvenueno aff
M. Hadi Shubhan, Rr. Herini Siti Aisyah, L. Budi Kagramanto

Bibliographic record

VenueInternational Law Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsnot available
FundersUniversitas Airlangga
KeywordsBusinessPublic healthCompetence (human resources)Health facilityService (business)Public relationsHealth servicesEnvironmental healthNursingMedicineMarketingPolitical sciencePsychologyPopulation

Abstract

fetched live from OpenAlex

In 2012 there were 200 cases of public service disputes to be criminalized in East Java. They occured as a logical consequence of Act Number 14 Year 2008 leading to some consequences that public service is required to give satisfaction to the society The problem of health services in Indonesia cannot be separated from the low competence of the medical personnel, infrastructure and medical equipment, human resources, and complex regulations which are not easy to implement. Due to the problem above, a research focused on such policies to improve the capacity building by optimizing the role of Primary Health Center (PHC) as First Level Health Facility (FLHF) especially for Participants Social Health Insurance Provider (SHIP) is highly considered to carry out. The Social Health Insurance Provider is a legal entity established to administer the Health Insurance program, and the Primary Health Center is a health service facility that organizes some efforts on public and individual health at the first level. In ensuring the satisfaction of adequate services, FLHF has been working with PHC as the implementer of health services for SHIP participants. Because of it, PHC becomes the forefront to provide the health services to the community, especially, to SHIP participants. To increase the satisfaction of SHIP participants, it is necessary to note and find some ways out to the problems related to the improvement of Human Resources, Health Facilities, Service system, Information and supervision.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.534
GPT teacher head0.622
Teacher spread0.088 · 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 designObservational
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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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