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Development of a generic wound care assessment minimum data set.

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BACKGROUND At present there is no established national minimum data set (MDS) for generic wound assessment in England, which has led to a lack of standardisation and variable assessment criteria… Click to show full abstract

BACKGROUND At present there is no established national minimum data set (MDS) for generic wound assessment in England, which has led to a lack of standardisation and variable assessment criteria being used across the country. This hampers the quality and monitoring of wound healing progress and treatment. AIM To establish a generic wound assessment MDS to underpin clinical practice. METHOD The project comprised 1) a literature review to provide an overview of wound assessment best practice and identify potential assessment criteria for inclusion in the MDS and 2) a structured consensus study using an adapted Research and Development/University of California at Los Angeles Appropriateness method. This incorporated experts in the wound care field considering the evidence of a literature review and their experience to agree the assessment criteria to be included in the MDS. RESULTS The literature review identified 24 papers that contained criteria which might be considered as part of generic wound assessment. From these papers 68 potential assessment items were identified and the expert group agreed that 37 (relating to general health information, baseline wound information, wound assessment parameters, wound symptoms and specialists) should be included in the MDS. DISCUSSION Using a structured approach we have developed a generic wound assessment MDS to underpin wound assessment documentation and practice. It is anticipated that the MDS will facilitate a more consistent approach to generic wound assessment practice and support providers and commissioners of care to develop and re-focus services that promote improvements in wound care.

Keywords: wound assessment; generic wound; wound; wound care; assessment

Journal Title: Journal of tissue viability
Year Published: 2017

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