Research Article

Analysis of Level of Satisfaction Using Organizational Diagnosis Questionnaire Among Employees of St. Dominic Medical Center: Basis for Improved Training

279 reads
Psych Educ Multidisc J, 2026, 53 (5), 506-516, DOI: https://doi.org/10.70838/pemj.530503, ISSN 2822-4353
Verified on SciChain · token #7387 of SciMatic Articles (ERC-1155, 1,000,000 tokens)
Contract 0x0E596B4b…F05eF8 · mint transaction · verify the record
Proof of record · recorded 2026-10-17 · anchored on SciChain · Verify (opens in a new tab) · record

Abstract

This study investigates the level of job satisfaction among employees of St. Dominic Medical Center (SDMC) using the Organizational Diagnosis Questionnaire (ODQ). The research aims to identify key factors influencing job satisfaction, including purpose, structure, relationship, rewards, leadership, helpful mechanisms, attitude toward change, and overall satisfaction. A descriptive survey method was employed, gathering data from 129 respondents categorized by sex, age, and years of service. Statistical tools such as mean scores, correlation analysis, and significance tests were utilized to analyze the data. Findings reveal that employees at SDMC generally exhibit a high level of satisfaction across all measured dimensions, with particularly strong satisfaction noted among long-serving employees and in areas related to leadership and helpful mechanisms. Significant correlations were found between various factors, underscoring the interrelated nature of organizational satisfaction components. The results suggest that targeted training programs focusing on leadership development, enhancing supportive mechanisms, and fostering positive workplace relationships could further improve employee satisfaction and organizational performance at SDMC.
Keywords healthcare management job satisfaction organizational diagnosis questionnaire employee training and St. Dominic Medical Center
Authors 2

The team behind this paper

2 authors, 1 institution.

This paper St. Dominic College of Asia — Philippines St. Dominic College of … 2 authors Mary Anne Capundan — corresponding author MC Mary Anne Capundan ✉ Philip Cuizon PC Philip Cuizon

Readership

279 reads over 9 months.

March 2026 November 2026

On SciChain

This article is token #7387 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

HolderWalletTokens
SciMatic 0xc35709…277732 100,000 (10%)
Mary Anne Capundan 0x478D93…336a7a 450,000 (45%)
Philip Cuizon 0xdC37a1…686137 450,000 (45%)
Content hash 0xced9c07342716b8dee551b45f8ab5661d430416214f2b2ff49dea5cd6dc62ee1

Bibliographic Information

Mary Anne Capundan, Philip Cuizon, (2026). Analysis of Level of Satisfaction Using Organizational Diagnosis Questionnaire Among Employees of St. Dominic Medical Center: Basis for Improved Training, Psychology and Education: A Multidisciplinary Journal, 53(5): 506-516
Bibtex Citation
@article{mary_anne_capundan2026pemj,
author = {Mary Anne Capundan and Philip Cuizon},
title = {Analysis of Level of Satisfaction Using Organizational Diagnosis Questionnaire Among Employees of St. Dominic Medical Center: Basis for Improved Training},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2026},
volume = {53},
number = {5},
pages = {506-516},
doi = {10.70838/pemj.530503},
url = {https://scimatic.org/show_manuscript/7387}
}
APA Citation
Capundan, M.A., Cuizon, P., (2026). Analysis of Level of Satisfaction Using Organizational Diagnosis Questionnaire Among Employees of St. Dominic Medical Center: Basis for Improved Training. Psychology and Education: A Multidisciplinary Journal, 53(5), 506-516. https://doi.org/10.70838/pemj.530503

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Any photo that shows your face will do: we crop it to your head and shoulders and give it a plain background automatically.
  • To sign in, go to Sign in and enter the e-mail address registered with the article: we e-mail you a one-time sign-in link (there is no password).
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org