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Record W2519962395 · doi:10.17509/jpki.v2i1.2846

PERBEDAAN TEKANAN DARAH SEBELUM DAN SESUDAH PEMBERIAN TEKNIK RELAKSASI IMAJINASI TERBIMBING PADA LANSIA YANG MENDERITA HIPERTENSI

2016· article· id· W2519962395 on OpenAlexaff
Sri Sumartini, Heru Hari Bachtiar

Bibliographic record

VenueJURNAL PENDIDIKAN KEPERAWATAN INDONESIA · 2016
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

ABSTRAKPenyakit hipertensi pada Lansia memerlukan penanganan tanpa menimbulkan efek samping yang bertujuan untuk mencegah terjadinya morbiditas dan mortalitas serta mempertahankan tekanan darah normal.Salah satu teknik yang dapat digunakan adalah teknik relaksasi imajinasi terbimbing (guided imaginary). Penelitian ini bertujuan untuk mengetahui perbedaan tekanan darah sebelum dan sesudah pemberian teknik relaksasi imajinasi terbimbing pada Lansia yang menderita hipertensi.Penelitian ini menggunakan desain penelitian eksperimental dengan pre-experiment design. Sampel dalam penelitian ini menggunakan tekhnik purposive sampling menggunakan sebanyak 30 orang Lansia yang mengalami hipertensi di Wilayah Kerja UPTD Puskesmas Kertajati Kabupaten Majalengka. Data ini diambil menggunakan lembar observasi tekanan darah. Setelah itu dilakukan uji statistik yang menggunakan uji beda yaitu Wilcoxon Signed Rank Test dengan tingkat kemaknaan 0,05.Hasil penelitian menunjukkan rata-rata tekanan darah sebelum pemberian teknik relaksasi imajinasi terbimbing sebesar 154,9 dan sebagian besar responden mengalami hipertensi Stadium I (60,0%). Sementara rata-rata tekanan darah pada Lansia yang menderita hipertensi sesudah pemberian teknik relaksasi imajinasi terbimbing sebesar 143,3 dan sebagian besar responden mengalami prehipertensi (46,7%). Hasil uji hipotesis menunjukkan ada perbedaan tekanan darah sebelum dan sesudah pemberian teknik relaksasi imajinasi terbimbing pada Lansia yang menderita hipertensi di Wilayah Kerja UPTD Puskesmas Kertajati Kabupaten Majalengka Tahun 2014 (rvalue = 0,008).Oleh karena itu perawat di Puskesmas dapat mengaplikasikan teknik relaksasi imajinasi terbimbing dalam membantu menurunkan tekanan darah pada pasien yang mengalami hipertensi Kata kunci : Tekanan Darah, Hipertensi, Imajinasi Terbimbing ABSTRACTHypertension of elderly needs handling without giving an effects for prevent morbidity and mortality and for maintain normal blood pressure. One of technique which can be used is a guided imaginary. The research is for determine differences of blood pressure before and after giving guided imaginary for elderly suffering hypertension. This research is used experimental with pre-experiment design. Sample in this research is purposive sampling technique method using as many as 30 people for the elderly that experienced hypertension in the work area of the UPTD Puskesmas Kertajati Majalengka. In this data is taken by using sheet of observation blood pressure. After that performed statistical test that using wilcoxon signed rank test with significance level 0,05.The result shows average is 154,9 and most of respondents have hypertension Stadium I (60,0%). While, averages of elderly blood pressure is 143,3 after giving guided imaginary technique and most of respondents have prehypertension (46,7%). The result of hypothesis test shows there are differences blood pressure before and after giving guided imaginary technique for elderly suffering hypertension in work area UPTD Puskesmas Kertajati Kabupaten Majalengka years 2014 (pvalue=0,008)Therefore, nurses in Puskesmas can apply guided imaginary technique for lowers blood pressure for patients who have hypertension. Key words : Blood Pressure, Hypertension, Guided Imaginary

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.004

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 head0.019
GPT teacher head0.269
Teacher spread0.249 · 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 designNon-randomized trial
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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Citations3
Published2016
Admission routes1
Has abstractyes

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