Assessing the Relative Performance of Nurses Using Data Envelopment Analysis Matrix (DEAM)

Assessing employee performance is one of the most important issue in healthcare management services. Because of their direct relationship with patients, nurses are also the most influential hospital staff who play a vital role in providing healthcare services. In this paper, a novel Data Envelopment...

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Bibliographic Details
Published in:Journal of medical systems 2018-07, Vol.42 (7), p.125-9, Article 125
Main Authors: Vafaee Najar, Ali, Pooya, Alireza, Alizadeh Zoeram, Ali, Emrouznejad, Ali
Format: Article
Language:English
Subjects:
Data analysis
Data envelopment analysis
Efficiency
Health care
Health Informatics
Health Sciences
Management services
Medical personnel
Medicine
Medicine & Public Health
Nurses
Operations research
Patients
Performance evaluation
Statistics for Life Sciences
Suction
Systems-Level Quality Improvement
Working conditions
Working hours
Wound drainage
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Summary:Assessing employee performance is one of the most important issue in healthcare management services. Because of their direct relationship with patients, nurses are also the most influential hospital staff who play a vital role in providing healthcare services. In this paper, a novel Data Envelopment Analysis Matrix (DEAM) approach is proposed for assessing the performance of nurses based on relative efficiency. The proposed model consists of five input variables (including type of employment, work experience, training hours, working hours and overtime hours) and eight output variables (the outputs are amount of hours each nurse spend on each of the eight activities including documentation, medical instructions, wound care and patient drainage, laboratory sampling, assessment and control care, follow-up and counseling and para-clinical measures, attendance during visiting and discharge suction) have been tested on 30 nurses from the heart department of a hospital in Iran. After determining the relative efficiency of each nurse based on the DEA model, the nurses’ performance were evaluated in a DEAM format. As results the nurses were divided into four groups; superstars, potential stars, those who are needed to be trained effectively and question marks. Finally, based on the proposed approach, we have drawn some recommendations to policy makers in order to improve and maintain the performance of each of these groups. The proposed approach provides a practical framework for hospital managers so that they can assess the relative efficiency of nurses, plan and take steps to improve the quality of healthcare delivery.
ISSN:0148-5598
1573-689X
DOI:10.1007/s10916-018-0974-x