Estimating productivity of the provinces of Iran in the health sector using Fuzzy data in Imprecise Data Envelopment Analysis(IDEA)

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Papi S.; Khorramabadi M.; Lashgarara S.

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Journal: JOURNAL OF HEALTH ADMINISTRATION Year:2018 | Volume:21 | Issue:73 Page(s): 35-48

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Title

Estimating productivity of the provinces of Iran in the health sector using Fuzzy data in Imprecise Data Envelopment Analysis(IDEA)

Author(s)

Papi S. | Khorramabadi M. | Lashgarara S. | Issue Writer Certificate

Keywords

HealthQ2

Data envelopment analysisQ1

EfficiencyQ3

Fuzzy dataQ1

ProductivityQ3

Most productive scale size (MPSS)Q1

Abstract

Introduction: Increasing the Productivity of Health care spending is important for all countries. In order to increase Productivity, input and output data can have fuzzy values. This study aimed to present a new model of inadequate envelopment analysis to determine the Productivity of provinces in the Health sectors, highlight productive provinces and detect sensitive indexes to increase Productivity. Methods: This descriptive-analytical study was conducted on the Health system of Iran in 2016. Data were collected through library documents, Internet and the center of statistics and information technology management of medical universities. Analytical hierarchy process was used to determine Health care indexes among which five indicators were extracted. Data were analyzed using inadequate envelopment analysis technique by General Algebraic Modeling System. Results: According to the proposed model, for and, only Semnan, Kurdistan and Mazandaran provinces were considered to be efficient based on their indexes on patient satisfaction and physician-to-population ratio, and were regarded as referral units for other provinces. The two indexes of physician-to-population ratio and nurse-to-population ratio were introduced as the most and the least sensitive indicators, respectively. Conclusions: Kurdistan, based on the most sensitive indicator, had the highest referral patients. Other provinces can increase their Efficiency through improving the quality and quantity of their services, increasing patient satisfaction, continuous evaluation of performance and increasing the number of physicians working in medical universities.

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References

IDENTIFICATION AND RANKING THE EFFECTIVE FACTORS ON MAN-POWER PRODUCTIVITY PROMOTION USING THE ANP TECHNIQUE (A CASE STUDY: MANAGERS AND SUPERVISORS CEMENT COMPANY IN TOWNSHIP)

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APA: Copy

Papi, S., Khorramabadi, M., & Lashgarara, S.. (2018). Estimating productivity of the provinces of Iran in the health sector using Fuzzy data in Imprecise Data Envelopment Analysis(IDEA). JOURNAL OF HEALTH ADMINISTRATION, 21(73 ), 35-48. SID. https://sid.ir/paper/130259/en

Vancouver: Copy

Papi S., Khorramabadi M., Lashgarara S.. Estimating productivity of the provinces of Iran in the health sector using Fuzzy data in Imprecise Data Envelopment Analysis(IDEA). JOURNAL OF HEALTH ADMINISTRATION[Internet]. 2018;21(73 ):35-48. Available from: https://sid.ir/paper/130259/en

IEEE: Copy

S. Papi, M. Khorramabadi, and S. Lashgarara, “Estimating productivity of the provinces of Iran in the health sector using Fuzzy data in Imprecise Data Envelopment Analysis(IDEA),” JOURNAL OF HEALTH ADMINISTRATION, vol. 21, no. 73 , pp. 35–48, 2018, [Online]. Available: https://sid.ir/paper/130259/en

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