Literature DB >> 15059989

Developing a national performance indicator framework for the Dutch health system.

A H A ten Asbroek1, O A Arah, J Geelhoed, T Custers, D M Delnoij, N S Klazinga.   

Abstract

OBJECTIVE: To report on the first phase of the development of a national performance indicator framework for the Dutch health system.
METHODS: In January 2002, we initiated an informed interactive process with the intended users-policymakers at the Ministry of Health, Welfare and Sport-and academics to develop both the conceptual framework and its content. Decisions were based on consensus after discussing strategic goals of the health system, information needs of policy makers at the Ministry of Health, Welfare and Sport, and studying existing theory and international experiences with national performance indicator frameworks. We identified objectives and criteria for a framework at the national level, constructed a conceptual model, and selected indicator areas.
RESULTS: As a starting point we chose a balanced scorecard reflecting four perspectives towards health system management information at the national level. These perspectives are consumer orientation, finances, delivery of high quality care, and the ability to learn and grow. We then linked the Lalonde model for population health to a balanced scorecard model. The constructed model makes the relationship between population health and health system management apparent, and facilitates the presentation of performance information from various perspectives. The model reflects the strategic goals of the Dutch health system, i.e. contributing to the production of health by providing necessary health care of good quality that is accessible for all Dutch citizens while simultaneously informing policy makers about the performance of the entire health system in all sectors (care, cure, prevention, and social services). The selected indicator areas for health system management information (20 in total) reflect the policy and management functions of the government and the defined public goals of the health system. The model was formally adopted by the Ministry of Health, Welfare and Sport in February 2003, and since then individual indicator areas have been operationalized by 30 representatives of various departments at the Ministry with continuous external research support.
CONCLUSION: The merit of linking the balanced scorecard inspired model to public health data is that it facilitates the visualization of the contribution of the health system to the improvement of population health. The method of an intensive interactive indicator development process between policy makers and researchers has so far proven successful.

Mesh:

Year:  2004        PMID: 15059989     DOI: 10.1093/intqhc/mzh020

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  27 in total

1.  Psychometric properties of the Dutch version of the Hospital-level Consumer Assessment of Health Plans Survey instrument.

Authors:  Onyebuchi A Arah; A H A ten Asbroek; Diana M J Delnoij; Johan S de Koning; Piet J A Stam; Aldien H Poll; Barbara Vriens; Paul F Schmidt; Niek S Klazinga
Journal:  Health Serv Res       Date:  2006-02       Impact factor: 3.402

2.  Adapting the balanced scorecard for mental health and addictions: an inpatient example.

Authors:  Elizabeth Lin; Janet Durbin
Journal:  Healthc Policy       Date:  2008-05

3.  Use of Balanced Scorecard Methodology for Performance Measurement of the Health Extension Program in Ethiopia.

Authors:  Hailay D Teklehaimanot; Awash Teklehaimanot; Aregawi A Tedella; Mustofa Abdella
Journal:  Am J Trop Med Hyg       Date:  2016-02-29       Impact factor: 2.345

4.  S-MEDUTA: Combining Balanced Scorecard with Simulation and MCDA Techniques for the Evaluation of the Strategic Performance of an Emergency Department.

Authors:  Panagiotis Manolitzas; Evangelos Grigoroudis; Jason Christodoulou; Nikolaos Matsatsinis
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

5.  Improving health services to displaced persons in Aceh, Indonesia: a balanced scorecard.

Authors:  Grace J Chan; Kristin B Parco; Melva E Sihombing; Susan P Tredwell; Edward J O'Rourke
Journal:  Bull World Health Organ       Date:  2010-09-01       Impact factor: 9.408

6.  A balanced scorecard for health services in Afghanistan.

Authors:  David H Peters; Ayan Ahmed Noor; Lakhwinder P Singh; Faizullah K Kakar; Peter M Hansen; Gilbert Burnham
Journal:  Bull World Health Organ       Date:  2007-02       Impact factor: 9.408

7.  Perceptions of parents on satisfaction with care in the pediatric intensive care unit: the EMPATHIC study.

Authors:  Jos M Latour; Johannes B van Goudoever; Hugo J Duivenvoorden; Nicolette A M van Dam; Eugenie Dullaart; Marcel J I J Albers; Carin W M Verlaat; Elise M van Vught; Marc van Heerde; Jan A Hazelzet
Journal:  Intensive Care Med       Date:  2009-04-15       Impact factor: 17.440

8.  Configuring balanced scorecards for measuring health system performance: evidence from 5 years' evaluation in Afghanistan.

Authors:  Anbrasi Edward; Binay Kumar; Faizullah Kakar; Ahmad Shah Salehi; Gilbert Burnham; David H Peters
Journal:  PLoS Med       Date:  2011-07-26       Impact factor: 11.069

9.  Multidimensional evaluation of performance with experimental application of balanced scorecard: a two year experience.

Authors:  Silvia Lupi; Adriano Verzola; Gianni Carandina; Manuela Salani; Paola Antonioli; Pasquale Gregorio
Journal:  Cost Eff Resour Alloc       Date:  2011-05-17

10.  Measuring health system strengthening: application of the balanced scorecard approach to rank the baseline performance of three rural districts in Zambia.

Authors:  Wilbroad Mutale; Peter Godfrey-Fausset; Margaret Tembo Mwanamwenge; Nkatya Kasese; Namwinga Chintu; Dina Balabanova; Neil Spicer; Helen Ayles
Journal:  PLoS One       Date:  2013-03-21       Impact factor: 3.240

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