Hospital Efficiency: An Application of Data Envelopment Analysis

Planck Barahona U.
Planck Barahona U. * §
Contact
Manuel Barahona D.
Manuel Barahona D.
Contact
§ Universidad de Atacama, Chile Universidad de Atacama, Chile

Send Message

To: Author

Hospital Efficiency: An Application of Data Envelopment Analysis

Article Fingerprint

ReserarchID

MR63YS0

Hospital Efficiency: An Application of Data Envelopment Analysis Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
Access Review Comments
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

The objective of this work is to determine the Technical Efficiency for a set of Hospitals of the National Health System of Chile for the periods 2015 and 2016. The methodology to be used is the DEA-CCR data analysis and DEA-BCC Orientation Inputs. The inputs variables are the number of doctors, dentists, nutritionists, nurses, kinesiologists, midwives, medical technicians, paramedics, and number of beds. As Output hospital discharges. The results showed that, in the case of Model 1 DEA-CCR, the hospitals that improved their efficiency scores were Tarapacá (100), Coquimbo (91) and Araucanía (100). In the other Regions there has been a decrease in their efficiency scores. In the second phase of the study, a linear regression model was used to quantify the effect of the variable medical personnel and hospital discharges. The results found a positive and statistically significant effect of the medical staff variable on hospital discharges. In other words, with an increase of one percentage point in medical personnel, hospital discharges would increase by 36.1 percentage points. On the other hand, the same analysis did not find that an increase in the medical staff will improve efficiency rates.

References

20 Cites in Article
  1. 1. María Matta (2019). Modelo de gestión en establecimientos de atención de personas con discapacidad. Serie Documentos, 19, 1-88.
  2. 2. C Alexander,G Busch,K Stringer (2003). Implementing and interpreting a data envelopment analysis model to assess the efficiency of healthsystems in developing countries. IMA Journal of Management Mathematics, 14, 49-63.
  3. 3. A Charnes,W Cooper,E Rhodes (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
  4. 4. M Daruwana,S Daneshva (2018). Efficiency Analysis of Healthcare System in Lebanon Using Modified Data Envelopment Analysis. Journal of Healthcare Engineering, 1-7.
  5. 5. (2013). Tabla 5.12. Vinculo entre proyecciones de largo plazo y el presupuesto, 2013. Tabla 5.12. Vinculo entre proyecciones de largo plazo y el presupuesto, 2013, 1-108.
  6. 6. M Farrell (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253.
  7. 7. P Fatulescu,M Roman,L Asandului (2014). The efficiency of healthcare systems in Europe: a Data Envelopment Analysis Approach. Procedia Economics and Finance, 10, 261-268.
  8. 8. (2018). Principales frutas tropicales - Compendio estadístico 2018. Compendio estadístico anual, 1-338.
  9. 9. (2017). Informe Anual 2016. Situación de los Glaciares y Ecosistemas de Montaña en el Perú. Compendio estadístico anual, 1-338.
  10. 10. Jeffrey Harrison,M Coppola,Mark Wakefield (2004). Efficiency of Federal Hospitals in the United States. Journal of Medical Systems, 28(5), 411-422.
  11. 11. Juan Ligarda,Manuel Ñaccha (2006). La eficiencia de las organizaciones de salud a través del análisis envolvente de datos. Microrredes de la Dirección de Salud IV Lima Este 2003. Anales de la Facultad de Medicina, 67(2), 142.
  12. 12. R Mutter,V Valdmanis,M Rosko (2010). High versus lower quality hospitals: A comparison of environmental characteristics and technical efficiency. Health Services and Outcomes Research Methodology, 10(3-4), 134-153.
  13. 13. Organización De La Salud (2017). Organización Panamericana de la Salud. Organización Mundial de la Salud Informe mundial sobre prevención de los traumatismos causados por el tránsito. Revista Facultad Nacional de Salud Pública, 24(1), 1.
  14. 14. (2018). Enfrentamiento de tiempos de espera no GES. Enfrentamiento de tiempos de espera no GES, 1-67.
  15. 15. P Nayar,Y Ozcan (2008). Data envelopment analysis comparison of hospital efficiency and quality. J MedSyst, 32(3), 193-199.
  16. 16. Maria Gould,Ginny Hendricks (2019). ROR announces the first Org ID prototype. ROR announces the first Org ID prototype, 1-243.
  17. 17. Luis Reyes Segner (2000). Rentabilidad social del incremento del gasto en el sector público de salud en Chile : período 2000-2008. Unidad de Estudios Especiales, CEPAL, 1-56.
  18. 18. M Reyes,E Figueroa,J Córdoba,F López (1993). Análisis envolvente de datos: aplicación en la medida de la eficiencia en los servicios de medicina preventiva hospitalaria de Andalucía. Rev San HigPúb, 67, 455-464.
  19. 19. J Seth (2014). Data envelopmemt analysis comparison of hospital eficiency, quality and control. International Journal of Management Accounting Research, 94-109.
  20. 20. Vivian Valdmanis,Michael Rosko,Ryan Mutter (2008). Hospital Quality, Efficiency, and Input Slack Differentials. Health Services Research, 43(5p2), 1830-1848.
Show All References
Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Planck Barahona U., Manuel Barahona D.. 2020. "Hospital Efficiency: An Application of Data Envelopment Analysis". Global Journal of Medical Research - K: Interdisciplinary GJMR-K Volume 20 (GJMR Volume 20 Issue K7).

More Citation Formats

Download Citation

  • Open Access
  • CC-BY-ND-NC 4.0
Download Article
Access OJS
Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords
Not Found
Classification
GJMR-K Classification NLMC Code: WW 26.5
  • Submission ReceivedDecember 11, 2019
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 1, 2020
  • Published January 15, 2020
Version of record

v1.2

Issue date
July 23, 2020

Language
Spanish
Order Article Reprint
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR
Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D
Article Matrices
Total Views: 956
Total Downloads: 83
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Hospital Efficiency: An Application of Data Envelopment Analysis

Planck U.
Planck U. Universidad de Atacama, Chile
Manuel D.
Manuel D.
  • Submission ReceivedDecember 11, 2019
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 1, 2020
  • Published January 15, 2020