Literature DB >> 25123457

Using data envelopment analysis to analyse the efficiency of primary care units.

Manuela Deidda1, Francisco Lupiáñez-Villanueva, Cristiano Codagnone, Ioannis Maghiros.   

Abstract

In this paper we analyse the efficiency of primary care centres (PCCs) adopting Information and Communication Technology (ICT) devices, using a new database on primary care centres in the Basque Region in Spain. Using a four-stage Data Envelopment Analysis methodology, we are able to explicitly take into account the role of ICT in affecting the efficiency of primary care centres. We understand that this is the first time that ICT enters into the determination of efficiency of the health sector. The role of exogenous factors is explicitly considered in this analysis and shows that including these variables is not neutral to the efficiency evaluation, but leads to an efficiency indicator that only encompasses the effect of managerial skills. The paper provides some useful policy implications regarding the role of ICT in improving the efficiency of primary care units.

Mesh:

Year:  2014        PMID: 25123457     DOI: 10.1007/s10916-014-0122-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  21 in total

Review 1.  Efficiency measurement of health care: a review of non-parametric methods and applications.

Authors:  B Hollingsworth; P J Dawson; N Maniadakis
Journal:  Health Care Manag Sci       Date:  1999-07

2.  An answer to chronicity in the Basque Country: primary care-based population health management.

Authors:  Roberto Nuño-Solinís; Juan F Orueta; Maider Mateos
Journal:  J Ambul Care Manage       Date:  2012 Jul-Sep

Review 3.  Non-parametric and parametric applications measuring efficiency in health care.

Authors:  Bruce Hollingsworth
Journal:  Health Care Manag Sci       Date:  2003-11

4.  Measuring technical efficiency in primary health care: the effect of exogenous variables on results.

Authors:  José Manuel Cordero-Ferrera; Eva Crespo-Cebada; Luis R Murillo-Zamorano
Journal:  J Med Syst       Date:  2009-10-21       Impact factor: 4.460

5.  Impact of health care information technology on hospital productivity growth: a survey in 17 acute university hospitals.

Authors:  Rodolphe Meyer; Patrice Degoulet; Louis Omnes
Journal:  Stud Health Technol Inform       Date:  2007

Review 6.  The measurement of efficiency and productivity of health care delivery.

Authors:  Bruce Hollingsworth
Journal:  Health Econ       Date:  2008-10       Impact factor: 3.046

7.  Relative inefficiencies in production between solo and group practice physicians.

Authors:  L C Defelice; W D Bradford
Journal:  Health Econ       Date:  1997 Sep-Oct       Impact factor: 3.046

8.  Relative efficiency in rural primary health care: an application of data envelopment analysis.

Authors:  Y G Huang; C P McLaughlin
Journal:  Health Serv Res       Date:  1989-06       Impact factor: 3.402

9.  Information and communications technology in U.S. health care: why is adoption so slow and is slower better?

Authors:  Michael C Christensen; Dahlia Remler
Journal:  J Health Polit Policy Law       Date:  2009-12       Impact factor: 2.265

Review 10.  The impact of eHealth on the quality and safety of health care: a systematic overview.

Authors:  Ashly D Black; Josip Car; Claudia Pagliari; Chantelle Anandan; Kathrin Cresswell; Tomislav Bokun; Brian McKinstry; Rob Procter; Azeem Majeed; Aziz Sheikh
Journal:  PLoS Med       Date:  2011-01-18       Impact factor: 11.069

View more
  10 in total

1.  Importance of Statistical Evidence in Estimating Valid DEA Scores.

Authors:  Darold T Barnum; Matthew Johnson; John M Gleason
Journal:  J Med Syst       Date:  2015-12-07       Impact factor: 4.460

2.  Measuring the efficiency of the Greek rural primary health care using a restricted DEA model; the case of southern and western Greece.

Authors:  Nikolaos Oikonomou; Yannis Tountas; Argiris Mariolis; Kyriakos Souliotis; Kostas Athanasakis; John Kyriopoulos
Journal:  Health Care Manag Sci       Date:  2015-04-26

Review 3.  Primary care efficiency measurement using data envelopment analysis: a systematic review.

Authors:  Ferruccio Pelone; Dionne Sofia Kringos; Alessandro Romaniello; Monica Archibugi; Chiara Salsiri; Walter Ricciardi
Journal:  J Med Syst       Date:  2014-11-26       Impact factor: 4.460

4.  The current and future needs of our medical systems.

Authors:  Jesse M Ehrenfeld
Journal:  J Med Syst       Date:  2015-02-01       Impact factor: 4.460

5.  Design and development of a medical big data processing system based on Hadoop.

Authors:  Qin Yao; Yu Tian; Peng-Fei Li; Li-Li Tian; Yang-Ming Qian; Jing-Song Li
Journal:  J Med Syst       Date:  2015-02-10       Impact factor: 4.460

6.  Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis.

Authors:  Mustafa Jahangoshai Rezaee; Abuzar Karimdadi
Journal:  J Med Syst       Date:  2015-07-25       Impact factor: 4.460

7.  Efficiency analysis of surgical services by combined use of data envelopment analysis and gray relational analysis.

Authors:  Nuray Girginer; Tunç Köse; Nurullah Uçkun
Journal:  J Med Syst       Date:  2015-03-13       Impact factor: 4.460

8.  The Technical Efficiency of Earthquake Medical Rapid Response Teams Following Disasters: The Case of the 2010 Yushu Earthquake in China.

Authors:  Xu Liu; Bihan Tang; Hongyang Yang; Yuan Liu; Chen Xue; Lulu Zhang
Journal:  Int J Environ Res Public Health       Date:  2015-12-04       Impact factor: 3.390

9.  Technical efficiency of women's health prevention programs in Bucaramanga, Colombia: a four-stage analysis.

Authors:  Myriam Ruiz-Rodriguez; Laura A Rodriguez-Villamizar; Ileana Heredia-Pi
Journal:  BMC Health Serv Res       Date:  2016-10-13       Impact factor: 2.655

10.  Efficiency and productivity measurement of rural township hospitals in China: a bootstrapping data envelopment analysis.

Authors:  Zhaohui Cheng; Miao Cai; Hongbing Tao; Zhifei He; Xiaojun Lin; Haifeng Lin; Yuling Zuo
Journal:  BMJ Open       Date:  2016-11-11       Impact factor: 2.692

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.