RADIOLOGIC TECHNOLOGISTS’ WORKLOAD, BURNOUT LEVELS AND QUALITY OF PATIENT CARE IN SELECTED TERTIARY GOVERNMENT HOSPITALS IN METRO MANILA

The evolving healthcare landscape has significantly impacted Radiologic technologists (RTs) who play a critical role in the diagnostic imaging services. While healthcare worker burnout has been widely studied, its specific effects on Radiologic Technologists in tertiary government hospitals remain underexplored, particularly amid rising patient volumes and technological advancements. This study aims to bridge the existing research gaps by analyzing the relationship between workload, burnout levels and quality of patient care among radiologic technologists in tertiary government hospitals in Metro Manila. This study anchored based on the framework, Maslach’s Burnout Theaory as cited by Sigh et al.(2023), The Job Demands-Resources Theory as applied by Makanjee et al.(2021), and Social Exchange Theory as cited by Elsholz et al.(2021). These models provided a foundation for understanding how workload influences burnout and how it affects the quality of patient care. This study examined radiologic technologists' workload, burnout levels, and quality of patient care in selected tertiary government hospitals in Metro Manila. Specifically, it seeks to answer the following research questions: (1.) What is the workload level of radiologic technologists in selected tertiary government hospitals in Metro Manila? In terms of: (1.1) patient volume (1.2) procedure complexity (1.3) administrative tasks (1.4) shift patterns (1.5) image accuracy? (2.) What are the burnout levels experienced by radiologic technologists in these hospitals? In terms of: (2.1) emotional exhaustion (2.2) depersonalization (2.3) personal accomplishment? (3.) What is the level of patient care quality provided by the radiologic technologist? In terms of: (3.1) patient safety (3.2) patient experience? (4) Is there a significant relationship between radiologic technologists’ workload and their burnout levels? (5) Is there a significant relationship between radiologic technologists’ workload and the quality of patient care they provide? (6) Is there a significant relationship between radiologic technologists’ burnout levels and the quality of patient care they provide? The findings suggest that other factors may contribute to burnout and patient care quality. The study underscores the importance of managing workload, providing emotional support, streamlining administrative tasks, optimizing shift patterns and offering continuous training to enhance well-being to healthcare workers to improve the patient care quality.

Authors

Institutions

Publication Details

Journal
International Journal of Education Humanities and Social Science
Published
2025-01-01
DOI
https://doi.org/10.54922/ijehss.2025.0950
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RADIOLOGIC TECHNOLOGISTS’ WORKLOAD, BURNOUT LEVELS AND QUALITY OF PATIENT CARE IN SELECTED TERTIARY GOVERNMENT HOSPITALS IN METRO MANILA

Noel J. Acosta, Magie Baloloy-Mascariñas
International Journal of Education Humanities and Social Science
Radiology practices and education
article

RADIOLOGIC TECHNOLOGISTS’ WORKLOAD, BURNOUT LEVELS AND QUALITY OF PATIENT CARE IN SELECTED TERTIARY GOVERNMENT HOSPITALS IN METRO MANILA

Noel J. Acosta, Magie Baloloy-Mascariñas
article en

Abstract

The evolving healthcare landscape has significantly impacted Radiologic technologists (RTs) who play a critical role in the diagnostic imaging services. While healthcare worker burnout has been widely studied, its specific effects on Radiologic Technologists in tertiary government hospitals remain underexplored, particularly amid rising patient volumes and technological advancements. This study aims to bridge the existing research gaps by analyzing the relationship between workload, burnout levels and quality of patient care among radiologic technologists in tertiary government hospitals in Metro Manila. This study anchored based on the framework, Maslach’s Burnout Theaory as cited by Sigh et al.(2023), The Job Demands-Resources Theory as applied by Makanjee et al.(2021), and Social Exchange Theory as cited by Elsholz et al.(2021). These models provided a foundation for understanding how workload influences burnout and how it affects the quality of patient care. This study examined radiologic technologists' workload, burnout levels, and quality of patient care in selected tertiary government hospitals in Metro Manila. Specifically, it seeks to answer the following research questions: (1.) What is the workload level of radiologic technologists in selected tertiary government hospitals in Metro Manila? In terms of: (1.1) patient volume (1.2) procedure complexity (1.3) administrative tasks (1.4) shift patterns (1.5) image accuracy? (2.) What are the burnout levels experienced by radiologic technologists in these hospitals? In terms of: (2.1) emotional exhaustion (2.2) depersonalization (2.3) personal accomplishment? (3.) What is the level of patient care quality provided by the radiologic technologist? In terms of: (3.1) patient safety (3.2) patient experience? (4) Is there a significant relationship between radiologic technologists’ workload and their burnout levels? (5) Is there a significant relationship between radiologic technologists’ workload and the quality of patient care they provide? (6) Is there a significant relationship between radiologic technologists’ burnout levels and the quality of patient care they provide? The findings suggest that other factors may contribute to burnout and patient care quality. The study underscores the importance of managing workload, providing emotional support, streamlining administrative tasks, optimizing shift patterns and offering continuous training to enhance well-being to healthcare workers to improve the patient care quality.

International Journal of Education Humanities and Social ScienceVol. 08(02)
University of Perpetual Help System DALTA (PH)
Openalex Percentile: Top 84%
Radiology practices and education
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.