Efficiency evaluation of county-level public hospitals in Hainan, China: a four-stage data envelope analysis model based on panel data

Yang, Yi; Xue, Wen-Jing; Liu, Jing

doi:10.1097/cm9.0000000000001293

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The output (variable) is defined by the number of hospitalized patients [ 50 ]. In particular, for Covid-19, for each phase, we considered the number of patients hospitalized for Covid-19.…”

Section: Methodsmentioning

confidence: 99%

The other side of the crisis: organizational flexibility in balancing Covid-19 and non-Covid-19 health-care services

Troisi

Simone

Vargas

et al. 2022

BMC Health Serv Res

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Background Many healthcare systems have been unable to deal with Covid-19 without influencing non-Covid-19 patients with pre-existing conditions, risking a paralysis in the medium term. This study explores the effects of organizational flexibility on hospital efficiency in terms of the capacity to deliver healthcare services for both Covid-19 and non-Covid-19 patients. Method Focusing on Italian health system, a two-step strategy is adopted. First, Data Envelope Analysis is used to assess the capacity of hospitals to address the needs of Covid-19 and non-Covid-19 patients relying on internal resource flexibility. Second, two panel regressions are performed to assess external organizational flexibility, with the involvement in demand management of external operators in the health-care service, examining the impact on efficiency in hospital capacity management. Results The overall response of the hospitals in the study was not fully effective in balancing the needs of the two categories of patients (the efficiency score is 0.87 and 0.58, respectively, for Covid-19 and non-Covid-19 patients), though responses improved over time. Furthermore, among the measures providing complementary services in the community, home hospitalization and territorial medicine were found to be positively associated with hospital efficiency (0.1290, p < 0.05 and 0.2985, p < 0.01, respectively, for non-Covid-19 and Covid-19 patients; 0.0026, p < 0.05 and 0.0069, p < 0.01, respectively, for non-Covid-19 and Covid-19). In contrast, hospital networks are negatively related to efficiency in Covid-19 patients (-0.1037, p < 0.05), while the relationship is not significant in non-Covid-19 patients. Conclusions Managing the needs of Covid-19 patients while also caring for other patients requires a response from the entire healthcare system. Our findings could have two important implications for effectively managing health-care demand during and after the Covid-19 pandemic. First, as a result of a naturally progressive learning process, the resource balance between Covid-19 and non-Covid-19 patients improves over time. Second, it appears that demand management to control the flow of patients necessitates targeted interventions that combine agile structures with decentralization. Finally, untested integration models risk slowing down the response, giving rise to significant costs without producing effective results.

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Section: Methodsmentioning

confidence: 99%

The other side of the crisis: organizational flexibility in balancing Covid-19 and non-Covid-19 health-care services

Troisi

Simone

Vargas

et al. 2022

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…ese issues require us to study and explore them in practice. is article discusses the use of Internet of ings (IoT) technology, data envelopment methods, and particle swarm optimization (PSO) algorithm to further improve and develop asset evaluation methods to carry out related work on asset evaluation [19]. Data envelopment and PSO algorithm ensure the cleaning and reclassification of asset data.…”

Section: Introductionmentioning

confidence: 99%

Application of Data Envelopment and Internet of Things Technology for Asset Value Evaluation

Wang

Gao

Liang

2021

Mobile Information Systems

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Assets are an essential part of an enterprise’s production and an indispensable economic entity for production and operation. The valuation of assets is one such area that has received significant attention in recent years. However, there exist numerous issues from various perspectives. These issues require us to study and explore them further. This article discusses the role of Internet of Things (IoT) and data envelopment methods to improve and develop asset evaluation. Based on the concept of asset evaluation, this paper designs an asset evaluation framework using the IoT. This framework can provide an all-weather and no-delay preparation basis for the asset appraisal work. Moreover, this paper uses data envelopment and particle swarm optimization (PSO) algorithm to clean and reclassify asset data. The objective of this algorithm is to solve the nonlinear function optimization problems associated with asset value evaluation. Finally, we verify the effectiveness and practicability of the model by comparing experimental simulation and manual evaluation.

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Technical efficiency analysis of advanced medical centers in Burkina Faso

Kergall,

Guillon,

Mathonnat

2024

BMC Health Serv Res

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Efficiency evaluation of county-level public hospitals in Hainan, China: a four-stage data envelope analysis model based on panel data

Cited by 3 publications

References 3 publications

The other side of the crisis: organizational flexibility in balancing Covid-19 and non-Covid-19 health-care services

The other side of the crisis: organizational flexibility in balancing Covid-19 and non-Covid-19 health-care services

Application of Data Envelopment and Internet of Things Technology for Asset Value Evaluation

Technical efficiency analysis of advanced medical centers in Burkina Faso

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