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How do European countries assess childcare? A comparison of 30 EU and EEA countries in the MOCHA project

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Child asthma treatment: a comparison of 30 EU and EEA countries based on a business model Description Daniela Luzi

D Luzi

National Research Council, Rome, Italy Contact: d.luzi@irpps.cnr.it

Background

Asthma is one on the most common chronic disease in childhood. Its diagnosis and treatment is commonly based on the GINA guidelines. However, differences across countries can be detected in the access of services, coordination of healthcare professionals, provision of diagnostics tests, just to mention a few examples. For these reasons, the MOCHA project identified asthma as one of the tracing conditions to be analysed for the comparison and appraisal of existing models of primary care for children among 30 EU/EEA countries. A business process methodology is adopted providing the description of the organization, coordination and delivery of childcare.

Methods

A conceptual framework was developed to capture and single out meaningful parts of the child healthcare pathways to facilitate the comparison between national health systems. It is based on UML (Unified Modelling Language) standard that allows the description of childcare pathways considering: actors involved in the process of care; activities performed; services/locations of treatments, timelines. The process description is based on the results of Country Agents questionnaires developed by MOCHA partners around case studies, that capture real-life context of childcare.

Results

On the basis of results of the MOCHA questionnaires, UML diagrams are presented grouping countries similarities in terms of procedures, services, caregivers for asthma treatment. In parti-cular, the process description is focused on the access of out-of-hours services, use of medical records and performance of the spirometry test and referral procedures. This allows to capture patterns of integration between primary and secondary care. Conclusions

The process description approach allows the identification of patterns of healthcare delivery across countries. These results will be used in triangulation with the other MOCHA outputs, such as health outcomes, workforce and costs.

How do European countries assess childcare? A comparison of 30 EU and EEA countries in the MOCHA project

Daniela Luzi D Luzi

National Research Council, Rome, Italy Contact: d.luzi@irpps.cnr.it

Background

The assessment of childcare has to rely on a multidimensional perspective to capture all the components that influence child wellbeing, enriching the Donabedian framework with mea-surements pertaining socio-economic, cultural and environ-mental aspects. Moreover, the introduction of patient-centred evaluations based on standardised validated instruments, such as Patient Reported Outcome Measures (PROMs) and Patient Reported Experience Measures (PREMs) provides new ways of assessing quality of care.

Methods

A questionnaire was developed and submitted to the MOCHA country agents to gather information on agencies performing assessment of quality of care as well as on the indicators used

to evaluate childcare, including the adoption of PREMs and PROMs. The results were analysed and classified according to the Donabedian framework of structure, process and out-comes. Additionally, the classification also considers measures related to health-related behaviour and socio-economic, cultural, and environmental determinants of health, that map the MOCHA conceptual model.

Results

The majority of EU/EEA countries have national and/or regional agencies responsible for the evaluation of the quality of care that includes in their assessment specific items related to childcare. The analysis confirms that the majority of indicators used across countries concerns process measures. Results of the quanti-qualitative country distribution of indicators will be presented as well as an analysis of the use of PROMs and PREMs adopted within the evaluation of childcare.

Conclusions

The analysis of quality measurements devoted to childcare allows us to map and gain a better insight into the core indicators most frequently used across countries, identifying best practices as well as gaps in national evaluation of the delivery of health services.

Seeking a Holistic Matric of Strength of Primary Care for Children

Michael Rigby M Rigby

Imperial College, London, UK Contact: m.rigby@imperial.ac.uk

The Primary Health Care Activity Monitor for Europe (PHAMEU) project, a DG-Sanco funded project, led by NIVEL, created a measurement matrix to assess the strength of primary. The rationale and methodology were sound and robust, but the PHAMEU matrix and its underpinning measures and values are generic, and thus based on the adult world. In some European countries primary care for children is provided by a quite separate system of provision from that for adults. In all countries the issues and values to ensure good primary care, not least access, continuity, and quality, are very different when viewed through the lens of children’s needs, from infancy to adolescence.

Hence the intent of the MOCHA project to produce a measurement matrix for the Strength of Primary Care for Children, distinct from yet inspired by the PHAMEU approach for adults’ services.

A systematic review of the literature has been carried out and a composite model which is firmly based on the PHAMEU-Kringos framework has been adopted broadly measuring structure, process and outcome. However, from a child centric perspective, a number of elements require further refinement which is being tested through a modified Delphi approach with stakeholders. This will explore features such as the presence of distinct and purposeful child policy, economic levers, workforce, preventive care, access and equity coordina-tion and integracoordina-tion, advocacy and empowerment as well as specific child health outcomes.

This workshop will explore elements in the emergent frame-work, which will have separate measures by age-group 0-4 years, 5-9 years, and 10-18 years, as well as an aggregate assessment. It is envisaged that the matrix will record 5 measures against each of 10 characteristics, with separate measures for each age-group. It will seek to ensure a comparable measurement across all 30 different and disparate European countries.

10th European Public Health Conference: Parallel sessions 299

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