MétaCan
Menu
Back to cohort
Record W2965340462 · doi:10.15294/ujph.v8i1.22748

Factors Influencing the Reporting Time of Online-Based Recording and Reporting Systems in Public Health Center of Semarang City

2019· article· en· W2965340462 on OpenAlex
Samuel Kristian, Fitri Indrawati, Mahalul Azam

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUnnes Journal of Public Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Value (mathematics)WorkloadBusinessPsychologyStatisticsManagementMathematicsGeography

Abstract

fetched live from OpenAlex

ABSTRACT
 The target of timely reporting of SP3 online in Semarang City in the first quarter of 2017, amounted to 72% of Public Health Centers on time. Quarter II of 2017 was 62%. This is not in accordance with the target set by the Semarang City Health Office, which is 80%. The purpose of the study was to determine the factors that influence the timeliness of monthly SP3 reporting in Semarang City. This is an observational analytic research with case-control design. The sample set was 14 cases and 14 controls. The research instrument used was structured questionnaire. The results showed age factor (p value = 0.018; OR = 10.8), incentive (p value = 0.023; OR = 9.1), workload (p value = 0.008; OR = 13.4), leader support (p value = 0.008; OR = 15), supporting facilities (p value = 0.033; OR = 13) influenced the timeliness of SP3 reporting and years of service factor (p value = 0.7; OR = 1.8), computer skills (p value = 0.55; OR = 2.07), education (p value = 1; OR = 1.4), job training (p value = 0.5; OR = 2.07), and co-worker support (p value = 0.02; OR = 2.5) had no influence on the timeliness of SP3 reporting. 
 ABSTRAK
 Target ketepatan waktu pelaporan SP3 online Puskesmas Kota Semarang triwulan I tahun 2017, sebesar 72% puskesmas tepat waktu. Triwulan II tahun 2017 sebesar 62%. Hal ini tidak sesuai dengan target yang ditetapkan oleh Dinas Kesehatan Kota Semarang, yaitu 80%. Tujuan penelitian untuk mengetahui faktor yang mempengaruhi ketepatan waktu pelaporan Sistem Pencatatan Puskesmas (SP3) Bulanan Kota Semarang. Jenis penelitian adalah observasional analitik dengan rancangan case control. Sampel yang ditetapkan sebesar 14 kasus dan 14 kontrol. Instrumen penelitian berupa kuesioner terstruktur. Hasil menunjukkan faktor umur (p value=0,018; OR=10,8), insentif (p value=0,023; OR=9,1), beban kerja (p value=0,008 ; OR=13,4), dukungan pimpinan (p value=0,008; OR=15), fasilitas pendukung (p value=0,033; OR=13) mempengaruhi ketepatan waktu pelaporan SP3 dan faktor masa kerja (p value=0,7; OR=1,8), kemampuan teknik komputer (p value=0,55; OR=2,07), pendidikan (p value=1; OR=1,4), pelatihan kerja (p value=0,5; OR=2,07), dan dukungan rekan kerja (p value=0,02; OR=2,5) tidak mempengaruhi ketepatan waktu pelaporan SP3.

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.

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)0.077
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0770.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.396
GPT teacher head0.482
Teacher spread0.087 · 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