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Record W2625716604 · doi:10.5539/gjhs.v9n9p10

The Influence of Three Variables on the Performance of Personnel in the Private Hospital in Indonesia

2017· article· en· W2625716604 on OpenAlexvenueno aff
Muhammad Hafizurrachman

Bibliographic record

VenueGlobal Journal of Health Science · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsVariablesMedicinePsychological interventionSample (material)Public hospitalNursingOperations managementStatisticsEngineeringMathematics

Abstract

fetched live from OpenAlex

BACKGROUND: This study aims to look at the effect and its magnitude (value) of the variables: family health history, lifestyle behavior, and work environment on the performance of hospital personnel at the private hospital in Indonesia.METHODS: Cross sectional methods were used in this study and data were analyzed with the approach to SEM using Smart PLS Software. In this study, all services at the hospital were chosen as the unit of analysis with 87 hospital personnel being selected as the sample. Multistage random sampling was used. The research was conducted from January to February 2016.RESULTS: The results of the analysis showed the performance of hospital personnel in the private hospital was influenced by all the variables which meant that the theoretical model proposed in this study could be implemented. However, none of the variables in the research model showed critical influence, only 8.12 per cent, when compared to variables outside the model which was 91.88 per cent.CONCLUSION: This study concluded that the three variables studied were not large enough as variables that could be used for interventions in improving the performance of hospital personnel. Therefore, the hospital management needed to look for other variables as effort to improve the performance of hospital personnel.

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)0.021
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.076
GPT teacher head0.430
Teacher spread0.354 · 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
Published2017
Admission routes1
Has abstractyes

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