[Intestinal stomata]

The Quality and Clinical Applicability of Recommendations in Ostomy Guidelines: A Systematic Review

Aim

To systematically search ostomy clinical practice guidelines, critically assess their quality and clinical applicability of recommendations, and summarize the recommendations.

Design

Systematic review.

Data Sources

The PubMed, ProQuest and CINAHL databases, eight guideline databases, and three ostomy institution websites were searched on September 3, 2021.

Review Methods

Appraisal of Guidelines for Research and Evaluation II (AGREE II) and AGREE Recommendation EXcellence (AGREE-REX) were used to assess the guideline.

Results

The initial search identified 1475 documents. Of these, 27 full-text documents were reviewed. Finally, 10 guidelines were included. Among these, the 2019 Registered Nurses’ Association of Ontario (RNAO) guidelines had the highest total scores using AGREE II and AGREE-REX. The 2019 National Institute for Health and Care Excellence (NICE) and 2018 European Hernia Society (EHS) were also ranked as high-quality and evaluated as “recommended.” The median of the “applicability” domain was the lowest (45%) among the six AGREE II domains. The median of the “values and preferences” domain was the lowest (38%) among the three AGREE-REX domains. In total, 172 recommendations were summarized and parastomal hernia received the most attention among the recommendations.

Conclusion

The quality of the 10 clinical practice guidelines varied widely. The three identified high-quality guidelines might be appropriate first choices in daily ostomy care and management practice and can be tailored to the local context. Ostomy guidelines require further improvement in the “applicability” and “values and preferences” domains.

No Patient or Public Contribution

This review only searched and evaluated relevant documents, so such details do not apply to this review.

Infection Probability Index: Implementation of an Automated Chronic Wound Infection Marker

The number of people suffering from chronic wounds is increasing due to demographic changes and the global epidemics of obesity and diabetes. Innovative imaging techniques within the field of chronic wound diagnostics are required to improve wound care by predicting and detecting wound infections to accelerate the application of treatments. For this reason, the infection probability index (IPI) is introduced as a novel infection marker based on thermal wound imaging. To improve usability, the IPI was implemented to automate scoring. Visual and thermal image pairs of 60 wounds were acquired to test the implemented algorithms on clinical data. The proposed process consists of (1) determining various parameters of the IPI based on medical hypotheses, (2) acquiring data, (3) extracting camera distortions using camera calibration, and (4) preprocessing and (5) automating segmentation of the wound to calculate (6) the IPI. Wound segmentation is reviewed by user input, whereas the segmented area can be refined manually. Furthermore, in addition to proof of concept, IPIs’ correlation with C-reactive protein (CRP) levels as a clinical infection marker was evaluated. Based on average CRP levels, the patients were clustered into two groups, on the basis of the separation value of an averaged CRP level of 100. We calculated the IPIs of the 60 wound images based on automated wound segmentation. Average runtime was less than a minute. In the group with lower average CRP, a correlation between IPI and CRP was evident.