Literature DB >> 26452716

Output congestion leads to compromised care in Peruvian public hospital neonatal units.

Alejandro Arrieta1, Jorge Guillén2.   

Abstract

Peru is moving toward a universal health insurance system, and it is facing important challenges in the provision of public health services. As more citizens gain access to health insurance, the flow of patients exceeds the capacity of public hospitals to provide care with quality. In this study we explore the relationship between technical efficiency and patient safety events in neonatal care units of Peru's public hospitals. We use Data Envelope Analysis (DEA) with output congestion to assess the association between technical efficiency and patient safety events. We study 35 neonatal care units of public hospitals in Peru's Social Security Health System, and identify two undesirable (risk-adjusted) safety outcomes: neonatal mortality and near-miss neonatal mortality. We found that for about half of hospital's neonatal care units, technical efficiency is affected by output congestion. For those hospitals, patient safety is being compromised by receiving too many patients. Our results are consistent with public reports indicating that hospitals in the Peru's Social Security Health System are overcrowded, affecting efficiency and jeopardizing quality of care. We found that most congested hospitals are located in the capital city and suburban areas, and are more likely to be hospitals with the lowest and the highest level of care. Our results call for improvements in the patient referral system and capacity expansion.

Entities:  

Keywords:  DEA; Hospital efficiency; Neonatal care units; Peru

Mesh:

Year:  2015        PMID: 26452716     DOI: 10.1007/s10729-015-9346-y

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  18 in total

1.  Maternal predictors of perinatal mortality: the role of birthweight.

Authors:  E Forssas; M Gissler; M Sihvonen; E Hemminki
Journal:  Int J Epidemiol       Date:  1999-06       Impact factor: 7.196

Review 2.  Non-parametric and parametric applications measuring efficiency in health care.

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

3.  Measuring the performance of neonatal care units in Scotland.

Authors:  Kamal Field; Ali Emrouznejad
Journal:  J Med Syst       Date:  2003-08       Impact factor: 4.460

4.  Socio-economic differences in health, nutrition, and population within developing countries: an overview.

Authors:  D R Gwatkin; S Rutstein; K Johnson; E Suliman; A Wagstaff; A Amouzou
Journal:  Niger J Clin Pract       Date:  2007-12       Impact factor: 0.968

Review 5.  Why and how to invest in neonatal health.

Authors:  Viviana Mangiaterra; Minna Mattero; Erika Dunkelberg
Journal:  Semin Fetal Neonatal Med       Date:  2006-02       Impact factor: 3.926

6.  Data envelopment analysis comparison of hospital efficiency and quality.

Authors:  Preethy Nayar; Yasar A Ozcan
Journal:  J Med Syst       Date:  2008-06       Impact factor: 4.460

7.  The struggle for universal health coverage.

Authors: 
Journal:  Lancet       Date:  2012-09-08       Impact factor: 79.321

8.  Evaluating hospital performance with case-mix-adjusted outputs.

Authors:  S Grosskopf; V Valdmanis
Journal:  Med Care       Date:  1993-06       Impact factor: 2.983

9.  Hospital quality, efficiency, and input slack differentials.

Authors:  Vivian G Valdmanis; Michael D Rosko; Ryan L Mutter
Journal:  Health Serv Res       Date:  2008-09-08       Impact factor: 3.402

10.  Investigating health system performance: an application of data envelopment analysis to Zambian hospitals.

Authors:  Felix Masiye
Journal:  BMC Health Serv Res       Date:  2007-04-25       Impact factor: 2.655

View more
  1 in total

1.  Identifying congestion levels, sources and determinants on intensive care units: the Portuguese case.

Authors:  Diogo Ferreira; Rui Cunha Marques
Journal:  Health Care Manag Sci       Date:  2016-12-28
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.