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Upaya Promotif Petugas Kesehatan dalam Pelaksanaan Posyandu Lansia di Puskesmas Mangli Kabupaten Jember

2018· article· en· W3112993250 on OpenAlex
Fitrah Hadiyati Awaliyah Tuanaya, Dwi Wahyuni, Elfian Zulkarnain

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMultidisciplinary Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsOfficerTriangulationHealth sectorPublic healthNursingHealth educationHealth servicesPsychologyMedicineEnvironmental healthPolitical scienceGeographyPopulation

Abstract

fetched live from OpenAlex

One of the health programs which is implemented for the elderly in Indonesia is Elderly Posyandu. Elderly Posyandu emphasizes health services on promotive and preventive efforts. The Health Officer is any person who devotes himself / herself to the health sector as well as has knowledge and or skills through education in the field of health which for a certain type requires authority to do health efforts. The role of Health Officers of Elderly Posyandu is very important to realize the optimum promotive and preventive efforts in the implementation of posyandu elderly. This study aims to analyze the role of health officers in carrying out promotive efforts at elderly posyandu of Mangli Public Health Centre Jember by using qualitative method with case study design.There are 2 main informants in this research, health officer and 2 additional informants of elderly from elderly posyandu in working area of Mangli Public Health are chosen by purposive technique. The data are collected through indepth interview with main informant then verified data with triangulation of source by matching result of interview with additional informant and triangulation technique by doing observation. The results showed that the role of health officers in the implementation of promotive efforts is still less optimum.Keywords: Elderly Posyandu, Health Officer, Promotive

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.029
GPT teacher head0.335
Teacher spread0.306 · 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