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1.
Health Policy ; 120(11): 1256-1269, 2016 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-27793361

RESUMO

INTRODUCTION: Quality improvement systems (QIS) that are based on empirical performance assessment have increasingly been implemented as a mandatory part of health systems across countries. This study aims to describe national mandatory QIS in Europe in 2014. MATERIALS AND METHODS: Relevant national agencies for national mandatory QIS in Europe were identified through online searches and key informants. A questionnaire was compiled during a workshop with these agencies and filled out by representatives from these particular agencies. RESULTS: Agencies in charge of national mandatory QIS in seven countries (Denmark, France, Germany, Israel, Scotland, Sweden and Switzerland) were included in the study. An analysis of QIS revealed similarities, such as the use of routine data for performance assessment and the aim to hold healthcare providers accountable. Differences relate to the different forms of feedback systems and improvement mechanisms used. Trends include the development towards greater implementation of QIS within health systems, the inclusion of the patient's perspective in performance assessment, and experiments with pay for performance-related measures. CONCLUSION: On a country level, for health systems striving for newly implementing QIS it is recommended to start where routine data is available, add qualitative methodologies once the QIS is getting more complex, report performance data back to service providers and be patient centred. On the inter-country level exchange of information between agencies commissioned with implementing national QIS is very much needed for.


Assuntos
Pesquisa sobre Serviços de Saúde , Melhoria de Qualidade , Indicadores de Qualidade em Assistência à Saúde/normas , Coleta de Dados , Atenção à Saúde , Europa (Continente) , Humanos , Internet , Israel , Garantia da Qualidade dos Cuidados de Saúde , Inquéritos e Questionários
2.
BMJ Open ; 3(8): e003289, 2013 Aug 30.
Artigo em Inglês | MEDLINE | ID: mdl-23996820

RESUMO

OBJECTIVES: Accreditation in France relies on a mandatory 4-year cycle of self-assessment and a peer review of 82 standards, among which 14 focus priority standards (FPS). Hospitals are also required to measure yearly quality indicators (QIs-5 in 2010). On advice given by the accreditation committee of HAS (Haute Autorité en Santé), based on surveyors proposals and relying mostly on compliance to standards, accreditation decisions are taken by the board of HAS. Accreditation is still perceived by hospitals as a burdensome process and a simplification would be welcomed. The hypothesis was that a more limited number of criteria might give sufficient amount of information on hospitals overall quality level, appraised today by accreditation decisions. DESIGN: The accuracy of predictions of accreditation decisions given by a model, Partial Least Square-2 Discriminant Analysis (PLS2-DA), using only the results of FPS and QIs was measured. Accreditation decisions (full accreditation (A), recommendations or reservation (B), remit decision or non-accreditation (C)), results of FPS and QIs were considered qualitative variables. Stability was assessed by leave one out cross validation (LOOCV). SETTING AND PARTICIPANTS: All French 489 acute care organisations (ACO) accredited between June 2010 and January 2012 were considered, 304 of them having a rehabilitation care sector (RCS). RESULTS: Accuracy of prediction of accreditation decisions was good (89% of ACOs and 91% of ACO-RCS well classified). Stability of results appeared satisfactory when using LOOCV (87% of ACOs and 89% of ACO-RCS well classified). Identification of worse hospitals was correct (90% of ACOs and 97% of ACO-RCS predicted C were actually C). CONCLUSIONS: Using PLS2-DA with a limited number of criteria (QIs and FPS) provides an accurate prediction of accreditation decisions, especially for underperforming hospitals. This could support accreditation committees which give advices on accreditation decisions, and allow fast-track handling of 'safe' reports.

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