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Data Entry Skills in a Computer-based Spread Sheet Amongst Postgraduate Medical Students: A Simulation Based
Amir Maroof Khan1, Dheeraj Shah2, Pranab Chatterjee1
1Department of Community Medicine, University College of Medical Sciences, New Delhi, India.
Postgraduate medical students in India lack essential data entry skills, hindering their research capabilities. This study highlights the need for improved training in research methodology for medical students.
Area of Science:
- Medical Education
- Health Informatics
- Research Methodology
Background:
- Thesis research is mandatory for postgraduate (PG) medical students in India.
- Data entry using spreadsheets is a fundamental research skill, yet its proficiency among Indian PG medical students remains unassessed.
- This study addresses the gap by evaluating data entry skills in second-year PG medical students.
Purpose of the Study:
- To assess the data entry skills of second-year postgraduate medical students in North India.
- To identify specific deficiencies in data entry practices among these students.
- To provide baseline data for improving research methodology training.
Main Methods:
- A cross-sectional, descriptive study was conducted.
- 111 second-year PG medical students participated.
- Participants performed data entry using simulated case record forms and a spreadsheet.
Main Results:
- Only 17.1% of students scored above seven out of ten for data entry proficiency.
- Common errors included inappropriate coding (93.7%), non-uniform missing value entry (84.7%), and incorrect variable entry (e.g., blood pressure, 80.2%).
- Over half of the respondents exhibited deficiencies in variable naming and complete variable coding.
Conclusions:
- Postgraduate medical students in India demonstrate significant deficits in essential data entry skills.
- These data entry skill gaps pose a potential barrier to conducting effective research.
- The findings underscore the necessity of integrating data entry training into medical research methodology curricula.
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