Literature DB >> 27120507

Measuring healthcare productivity - from unit to system level.

Vesa Johannes Kämäräinen1, Antti Peltokorpi2, Paulus Torkki1, Kaj Tallbacka1.   

Abstract

Purpose - Healthcare productivity is a growing issue in most Western countries where healthcare expenditure is rapidly increasing. Therefore, accurate productivity metrics are essential to avoid sub-optimization within a healthcare system. The purpose of this paper is to focus on healthcare production system productivity measurement. Design/methodology/approach - Traditionally, healthcare productivity has been studied and measured independently at the unit, organization and system level. Suggesting that productivity measurement should be done in different levels, while simultaneously linking productivity measurement to incentives, this study presents the challenges of productivity measurement at the different levels. The study introduces different methods to measure productivity in healthcare. In addition, it provides background information on the methods used to measure productivity and the parameters used in these methods. A pilot investigation of productivity measurement is used to illustrate the challenges of measurement, to test the developed measures and to prove the practical information for managers. Findings - The study introduces different approaches and methods to measure productivity in healthcare. Practical implications - A pilot investigation of productivity measurement is used to illustrate the challenges of measurement, to test the developed measures and to prove the practical benefits for managers. Originality/value - The authors focus on the measurement of the whole healthcare production system and try to avoid sub-optimization. Additionally considering an individual patient approach, productivity measurement is examined at the unit level, the organizational level and the system level.

Entities:  

Keywords:  Efficiency; Healthcare; Measurement; Metrics; Productivity; Public health service

Mesh:

Year:  2016        PMID: 27120507     DOI: 10.1108/IJHCQA-04-2015-0050

Source DB:  PubMed          Journal:  Int J Health Care Qual Assur        ISSN: 0952-6862


  2 in total

1.  Measuring Productivity in Primary Care Behavioral Health: A Delphi Study.

Authors:  Matthew P Martin; Ana J Bridges; Travis Cos
Journal:  J Clin Psychol Med Settings       Date:  2021-08-21

Review 2.  Supporting efficiency improvement in public health systems: a rapid evidence synthesis.

Authors:  James Kenneth Walters; Anurag Sharma; Emma Malica; Reema Harrison
Journal:  BMC Health Serv Res       Date:  2022-03-03       Impact factor: 2.655

  2 in total

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