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Adapting developing country epidemiological assessment techniques to improve the quality of health needs assessments in developed countries

DOI: 10.1186/1472-6963-5-32

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Abstract:

We adapted the model to control for socio-economic heterogeneity, to take account of the inadequate population list, to ensure a representative sample and to account for a higher prevalence of degenerative and chronic diseases. We employed formal as well as informal communication methods and adjusted data collection times to maximise participation.The model we adapted had the capacity to ascertain both health needs and health care delivery needs. The community participated throughout the process and members were trained and employed as data collectors. The assessments have been used by local health boards and non-governmental agencies to plan and deliver better or additional services.We were able to carry out high quality health needs assessments in urban areas by adapting and applying a developing country health assessment method. Issues arose relating to health needs assessment as part of the planning cycle and the role of participants in the process.In 2001, the Department of Public Health and Primary Care in Trinity College Dublin was commissioned to carry out three health assessments in urban areas in Dublin. We aimed to carry out health assessments that would represent the needs of the whole population and not just more vocal minorities.We were aware that we were dealing with inadequate health information systems, weak planning data and a history of inadequate recipient involvement in health service planning. International health planners have reported similar issues in developing countries and as a result, have developed appropriate health assessment survey methods. The methods for such surveys must be robust, epidemiologically sound and have the potential to collect data rapidly, inexpensively and simply [1,2]. The survey design must provide information at local level and overcome unreliable population lists. If local health care providers and communities can participate in data collection this has the potential advantage of facilitating the meeting of such

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