Fighting access to health inequalities

Fighting access to health inequalities

by | Apr 28, 2022 | News

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See the recorded webinar: Fighting access to health inequalities by improving health worker retention and task shifting policies

Countries can address access to health inequalities in the population by improving health worker retention and task-shifting policies. So, what should these policies look like? On March 29th, the five projects of the Health Workforce Projects Cluster on the EU Health Policy Platform – including AHEAD – presented the first results of their research during their second webinar on ‘Fighting access to health inequalities by improving health worker retention and task shifting policies’.

Moldova Maps Test

Moldova Maps Test

by | Mar 17, 2022 | Test

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The Netherlands – Map 7, year 2020

by | Mar 10, 2022 | Map

MDDT

Italy

Moldova

The Netherlands

Romania

Serbia

Number of hospitals, adjusted for population age groups, in a catchment area of 20km.

This indicator shows the number of hospitals , adjusted for population age groups, in a catchment area of 20km. This could be one of the indicators that will be part of an index for medical desertification. This index will be formulated and tested throughout AHEAD’s research activities, between October 2021 – May 2022. Eventually, a mouse-over or clicking on a municipality will also present additional information about that municipality, for example, the size of the population, its demographical composition or the percentage of unmet healthcare needs. Also, information from our in-country research will be included as we go along.

The Netherlands – Map 4, year 2020

by | Mar 10, 2022 | Map

MDDT

Italy

Moldova

The Netherlands

Romania

Serbia

This is a map of the Netherlands showing the number of GPs per 100,000 (per municipality), adjusted for the population size and age groups, and taking into consideration a service area (catchment area) with a radius of 20 km. Different age groups require different levels of health care; this is accounted for in this map. Moreover, a 10 km distance to a GP practice could be considered an acceptable distance, which means that people living within that area can choose which GP to visit. Colour-coded from light blue (less GPs per 100,000 per municipality, adjusted for the population size and age groups, within 20km) to dark blue (more GPs per 100,000 per municipality, adjusted for the population size and age groups, within 20 km).

This indicator shows the number of GPs , adjusted for population age groups, in a catchment area of 20km. This could be one of the indicators that will be part of an index for medical desertification. This index will be formulated and tested throughout AHEAD’s research activities, between October 2021 – May 2022. Eventually, a mouse-over or clicking on a municipality will also present additional information about that municipality, for example, the size of the population, its demographical composition or the percentage of unmet healthcare needs. Also, information from our in-country research will be included as we go along.

The Netherlands – Map 3, year 2020

by | Mar 10, 2022 | Map

MDDT

Italy

Moldova

The Netherlands

Romania

Serbia

This is a map of the Netherlands showing the number of GPs per 100,000 per municipality, adjusted for the population size and age groups. Different age groups require different levels of health care; this is accounted for in this map. Colour-coded from light blue (less GPs per 100,000 per municipality, adjusted for the population size and age groups) to dark blue (more GPs per 100,000 per municipality, adjusted for the population size and age groups)

This indicator shows the number of GPs per 100,000 per municipality, adjusted for the population size and age groups. This could be one of the indicators that will be part of an index for medical desertification. This index will be formulated and tested throughout AHEAD’s research activities, between October 2021 – May 2022. Eventually, a mouse-over or clicking on a municipality will also present additional information about that municipality, for example, the size of the population, its demographical composition or the percentage of unmet healthcare needs. Also, information from our in-country research will be included as we go along.

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