Study on decision making patterns and parameters among doctors of pre-clinical and para clinical departments of GMKMC, Salem, Tamil Nadu

Balaji Jayapal; Chellavel Ganapathi Karuppan; Guru Kartick Jayaraman

doi:10.18203/2394-6040.ijcmph20241828

Authors

Balaji Jayapal Department of Community Medicine, Government Mohan Kumaramangalam Medical College, Salem, Tamil Nadu, India https://orcid.org/0000-0002-5077-8895
Chellavel Ganapathi Karuppan Department of Community Medicine, Government Mohan Kumaramangalam Medical College, Salem, Tamil Nadu, India
Guru Kartick Jayaraman Department of Community Medicine, Government Mohan Kumaramangalam Medical College, Salem, Tamil Nadu, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20241828

Keywords:

Decision making, Salem, Teaching faculties of pre-clinical and para clinical departments

Abstract

Background: Many studies and research articles in our medical field focus on decision making in the clinical set up, but this study only focused on decision making on pre-clinical and paraclinical settings. The objective was to study patterns and parameters of decision making among the doctors of pre-clinical and para clinical departments of GVMCH, Salem.

Methods: This cross-sectional study was conducted among 45 doctors across 7 pre and para clinicals departments of Government Medical College Salem in Tamil Nadu. Mean, median, mode and standard deviation were used for quantitative data and Pearson chi square test and logistic regression was used for qualitative data using Epi Info 7.

Results: The mean score was 7.2±2.8 with mean scoring percentile of 28.8±11.5. There was Pearsons’s chi square significance for variables like external resources related to decision making, books related to decision making, UG and PG pursued at, exposure to workshops or CMEs related to decision making, and age group <35. But on running logistic regression we got statistical significance for external resources related to decision making and age group >35 years.

Conclusions: Variables like external resources related to decision making, age group >35 years showed statistical significance and better inferences compared to other dependent and independent variables in this pre and para clinical department set ups.

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