Implementation of pressure ulcer prevention best practice recommendations in acute care: an observational study

Pressure ulcers are a common but preventable problem in hospitals. Implementation of best practice guideline recommendations can prevent ulcers from occurring. This 9-year cohort study reports prevalence data from point prevalence surveys during the observation period, and three practice metrics to assess implementation of best practice guideline recommendations: (i) nurse compliance with use of a validated pressure ulcer risk assessment and intervention checklist; (ii) accuracy of risk assessment scoring in usual-care nurses and experienced injury prevention nurses; and (iii) use of pressure ulcer prevention strategies. The prevalence of hospital-acquired pressure ulcers decreased following implementation of an evidence-based prevention programme from 12·6% (2 years preprogramme implementation) to 2·6% (6 years postprogramme implementation) (P < 0·001). Audits between 2003 and 2011 of 4368 patient medical records identified compliance with pressure ulcer prevention documentation according to best practice guidelines was high (>84%). A sample of 270 patients formed the sample for the study of risk assessment scoring accuracy and use of prevention strategies. It was found usual-care nurses under-estimated patients' risk of pressure ulcer development and under-utilised prevention strategies compared with experienced injury prevention nurses. Despite a significant reduction in prevalence of hospital-acquired pressure ulcers and high documentation compliance, use of prevention strategies could further be improved to achieve better patient outcomes. Barriers to the use of prevention strategies by nurses in the acute hospital setting require further examination. This study provides important insights into the knowledge translation of pressure ulcer prevention best practice guideline recommendations at The Northern Hospital.

An intelligent content discovery technique for health portal content management

Background: Continuous content management of health information portals is a feature vital for its sustainability and widespread acceptance. Knowledge and experience of a domain expert is essential for content management in the health domain. The rate of generation of online health resources is exponential and thereby manual examination for relevance to a specific topic and audience is a formidable challenge for domain experts. Intelligent content discovery for effective content management is a less researched topic. An existing expert-endorsed content repository can provide the necessary leverage to automatically identify relevant resources and evaluate qualitative metrics.Objective: This paper reports on the design research towards an intelligent technique for automated content discovery and ranking for health information portals. The proposed technique aims to improve efficiency of the current mostly manual process of portal content management by utilising an existing expert-endorsed content repository as a supporting base and a benchmark to evaluate the suitability of new contentMethods: A model for content management was established based on a field study of potential users. The proposed technique is integral to this content management model and executes in several phases (ie, query construction, content search, text analytics and fuzzy multi-criteria ranking). The construction of multi-dimensional search queries with input from Wordnet, the use of multi-word and single-word terms as representative semantics for text analytics and the use of fuzzy multi-criteria ranking for subjective evaluation of quality metrics are original contributions reported in this paper.Results: The feasibility of the proposed technique was examined with experiments conducted on an actual health information portal, the BCKOnline portal. Both intermediary and final results generated by the technique are presented in the paper and these help to establish benefits of the technique and its contribution towards effective content management.Conclusions: The prevalence of large numbers of online health resources is a key obstacle for domain experts involved in content management of health information portals and websites. The proposed technique has proven successful at search and identification of resources and the measurement of their relevance. It can be used to support the domain expert in content management and thereby ensure the health portal is up-to-date and current.