A Validity and Reliability Study of Universitas Sebelas Maret Patient Satisfaction Level-Questionnaire (UNS-TyQ8) for Patients after a Benign Thyroid Procedure

The result of this study proves that UNS-TyQ8 is accepted, valid, and reliable. It can be used for future investigation, especially in patients undergoing a thyroid surgery procedure.

Authors

Institutions

Publication Details

Journal
Asian Pacific Journal of Cancer Prevention
Published
2025-10-01
DOI
https://doi.org/10.31557/apjcp.2025.26.10.3619
Primary Topic
Healthcare Quality and Satisfaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Validity and Reliability Study of Universitas Sebelas Maret Patient Satisfaction Level-Questionnaire (UNS-TyQ8) for Patients after a Benign Thyroid Procedure

Yohanes Yohanes, Kristanto Yuli Yarso, Akhmad Azmiardi
Asian Pacific Journal of Cancer Prevention
Healthcare Quality and Satisfaction
article

A Validity and Reliability Study of Universitas Sebelas Maret Patient Satisfaction Level-Questionnaire (UNS-TyQ8) for Patients after a Benign Thyroid Procedure

Yohanes Yohanes, Kristanto Yuli Yarso, Akhmad Azmiardi
article en

Abstract

The result of this study proves that UNS-TyQ8 is accepted, valid, and reliable. It can be used for future investigation, especially in patients undergoing a thyroid surgery procedure.

Asian Pacific Journal of Cancer PreventionVol. 26(10)
Sebelas Maret University (ID), Mulawarman University (ID)
Openalex Percentile: Top 52%
Healthcare Quality and Satisfaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.