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Record W4411958693 · doi:10.33024/mahesa.v5i7.18795

Penerapan Evidence Base Nursing Practice Skrining Diabetic Sensorimotori Polineuropathy (DSPN) di UPT RSUD Labuang Baji Makassar

2025· article· en· W4411958693 on OpenAlexaboutno aff
Sri Sakinah, Yani Sofiani, Ninik Yunitri

Bibliographic record

VenueMAHESA Malahayati Health Student Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsNursingMedicinePsychology

Abstract

fetched live from OpenAlex

ABSTRACT Diabetes Mellitus is a degenerative disease, if not treated properly it can have a negative impact on complications in various organ systems in the body (Syahid, 2021). One of the complications of diabetes that often occurs is neuropathy (nerve damage) in the feet which increases the incidence of foot ulcers, infections and even the need for foot amputation (Sianipar, 2023). The aim of this research is to prepare Standard Operating Procedures (SPO) for the implementation of EBNP regarding Diabetic Sensorimotor Polyneuropathy (DSPN) Screening in Type 2 Diabetes Mellitus patients. The number of respondents involved in implementing this EBNP was 14 people. In the implementation of EBNP, Diabetic Sensorimotor Polyneuropathy (DSPN) screening was carried out using the mTSN (Modified Toronto Clinic Score Neuropathy) instrument which aims to assess whether there are symptoms of neuropathy and no symptoms of neuropathy. DSPN screening is carried out based on Standard Operating Procedures (SOP). Based on the results of the two instrument tests between mTCSN and mNSI-E using the undercurve test, it can be concluded that the mTCSN instrument has a higher sensitivity value with a value of 0.909, while the sensitivity value for the mNSI-E instrument is smaller than the mTCSN instrument with a value of 0.571. So, to screen for neuropathy it is more effective to use the mTCSN instrument because the sensitivity score is higher. Keywords: Diabetes Mellitus, Screening, Polyneuropathy, DSPN ABSTRAK Diabetes Melitus merupakan penyakit degeneratif bila tidak ditangani dengan baik dapat berdampak buruk menjadi komplikasi pada berbagai sistem organ dalam tubuh (Syahid, 2021). Salah satu komlikasi dari diabetes yang sering terjadi adalah Neuropati (kerusakan saraf) dikaki yang meningkatkan kejadian ulkus kaki, infeksi dan bahkan keharusan untuk amputasi kaki (Sianipar, 2023). Tujuan penelitian ini adalah tersusunnya Standar Prosedur Operasional (SPO) pelaksanaan EBNP tentang Skrining Diabetic Sensorimotori Polyneurophaty (DSPN) pada pasien Diabetes Melitus Tipe 2. Jumlah responden yang terlibat pada pelaksanaan EBNP ini adalah 14 orang. Pada pelaksanaan EBNP ini telah dilakukan skirining Diabetic Sensorimotori Polineuropathy (DSPN) dengan menggunakan instrumen mTSN (Modified Toronto Clinic Score Neuropathy) yang bertujuan untuk menilai ada gejala neuropati dan tidak ada gejala neuropati. Skrining DSPN dilakukan berdasarkan Standar Operasional Prosedur (SOP). Berdasarkan hasil kedua uji intrumen antara mTCSN dengan mNSI-E menggunakan uji undercurve, maka dapat disimpulkan, instrumen mTCSN memiliki nilai sensitivitas yang lebih tinggi dengan nilai 0.909, sedangkan nilai sensitivitas pada instrumen mNSI-E lebih kecil dari instrumen mTCSN dengan nilai 0.571. Maka, untuk melakukan skrining neuropathylebih efektif digunakan instrumen mTCSN karena skor sensitivitasnya lebih tinggi. Kata Kunci: Diabetes Mellitus, Skrining, Polyneurophaty, DSPN

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.023
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0280.004

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 head0.039
GPT teacher head0.422
Teacher spread0.384 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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