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Bibliographical entry (without author) : | Measuring health care performance : variations in care process, resource use and outcomes in childbirth care. Doctoral these, Dept of Learning, Informatics, Management and Ethics. Karolinska Institutet, Solna (Sweden) |
Author(s) : | Mesterton, Johan |
Year of publication : | 2019 |
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Résumé (français) : |
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Abstract (English) : | Introduction: Measurement of health care performance is important for quality assurance and improvement of health services. With regular monitoring and follow-up, unwarranted variations in performance can be reduced. For performance measurement to have the desired effects, meaningful indicators of performance need to be selected, methods that ensure comparability between hospitals need to be employed, and information must adequately be fed back to providers and professionals. Birth care is one of the most common causes of hospitalisation and large variations in practice have been observed which highlights the relevance of performance measurement in this area. More knowledge is needed on how to use indicators and appropriate methods for measurement of performance and how this information can be used to improve clinical practice. |
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Argument (français) : | L’objectif général de cette thèse est de montrer comment les données collectées de manière routinière peuvent être utilisées pour mesurer la performance des soins de santé dans le domaine des soins à la naissance et d’évaluer comment une telle mesure peut soutenir l’amélioration de la qualité. |
Argument (English): | The overall aim of this thesis is to show how routinely collected data can be used to measure health care performance in the area of birth care and to assess how such measurement can support quality improvement |
Argumento (português): | O objetivo geral desta tese é mostrar como os dados coletados rotineiramente podem ser usados para medir o desempenho dos serviços de saúde na área de assistência ao parto e avaliar como essa medida pode apoiar a melhoria da qualidade. |
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Author of this record : | Bernard Bel — 25 Mar 2019 |
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