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Headline
This study developed a clinical prediction rule that accurately assessed the risk of foot ulceration and suggested that less frequent monitoring for those at low risk might be acceptable.
Abstract
Background:
Diabetes-related foot ulcers give rise to considerable morbidity, generate a high monetary cost for health and social care services and precede the majority of diabetes-related lower extremity amputations. There are many clinical prediction rules in existence to assess risk of foot ulceration but few have been subject to validation.
Objectives:
Our objectives were to produce an evidence-based clinical pathway for risk assessment and management of the foot in people with diabetes mellitus to estimate cost-effective monitoring intervals and to perform cost-effectiveness analyses and a value-of-information analysis.
Design:
We developed and validated a prognostic model using predictive modelling, calibration and discrimination techniques. An overview of systematic reviews already completed was followed by a review of randomised controlled trials of interventions to prevent foot ulceration in diabetes mellitus. A review of the health economic literature was followed by the construction of an economic model, an analysis of the transitional probability of moving from one foot risk state to another, an assessment of cost-effectiveness and a value-of-information analysis.
Interventions:
The effects of simple and complex interventions and different monitoring intervals for the clinical prediction rules were evaluated.
Main outcome measure:
The main outcome was the incidence of foot ulceration. We compared the new clinical prediction rules in conjunction with the most effective preventative interventions at different monitoring intervals with a ‘treat-all’ strategy.
Data sources:
Data from an electronic health record for 26,154 people with diabetes mellitus in one Scottish health board were used to estimate the monitoring interval. The Prediction Of Diabetic foot UlcerationS (PODUS) data set was used to develop and validate the clinical prediction rule.
Review methods:
We searched for eligible randomised controlled trials of interventions using search strategies created for Ovid® (Wolters Kluwer, Alphen aan den Rijn, the Netherlands), MEDLINE, EMBASE and the Cochrane Central Register of Controlled Trials. Randomised controlled trials in progress were identified via the International Standard Randomised Controlled Trial Number Registry and systematic reviews were identified via PROSPERO. Databases were searched from inception to February 2019.
Results:
The clinical prediction rule was found to accurately assess the risk of foot ulceration. Digital infrared thermometry, complex interventions and therapeutic footwear with offloading devices were found to be effective in preventing foot ulcers. The risk of developing a foot ulcer did not change over time for most people. We found that interventions to prevent foot ulceration may be cost-effective but there is uncertainty about this. Digital infrared thermometry and therapeutic footwear with offloading devices may be cost-effective when used to treat all people with diabetes mellitus regardless of their ulcer risk.
Limitations:
The threats to the validity of the results in some randomised controlled trials in the review and the large number of missing data in the electronic health record mean that there is uncertainty in our estimates.
Conclusions:
There is evidence that interventions to prevent foot ulceration are effective but it is not clear who would benefit most from receiving the interventions. The ulceration risk does not change over an 8-year period for most people with diabetes mellitus. A change in the monitoring interval from annually to every 2 years for those at low risk would be acceptable.
Future work recommendations:
Improving the completeness of electronic health records and sharing data would help improve our knowledge about the most clinically effective and cost-effective approaches to prevent foot ulceration in diabetes mellitus.
Study registration:
This study is registered as PROSPERO CRD42016052324.
Funding:
This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 62. See the NIHR Journals Library website for further project information.
Contents
- Plain English summary
- Scientific summary
- Chapter 1. Background
- Chapter 2. Overall research objectives
- Chapter 3. Clinical prediction rule: PODUS data
- Chapter 4. Systematic review of preventative interventions for foot ulceration in diabetes mellitus: an overview
- Chapter 5. Preventative interventions for foot ulceration in diabetes mellitus: a systematic review
- Chapter 6. Economic model: evidence-based pathway
- Chapter 7. Overall discussions
- Chapter 8. Overall conclusions
- Acknowledgements
- References
- Appendix 1. Study Steering Committee members
- Appendix 2. Protocol changes (Scotland A – Research Ethics Committee)
- Appendix 3. Clinical prediction rule
- Appendix 4. Chapter 4-related appendices
- Appendix 5. Chapter 5-related appendices
- Appendix 6. Chapter 6 health economics-related appendices
- List of abbreviations
About the Series
Declared competing interests of authors: Fay Crawford is a member of the National Institute for Health Research (NIHR) Health Technology Assessment (HTA) General Committee. Julie Brittenden is a member of the NIHR HTA General Committee. Donald Nicolson reports personal fees from the Association for Borderlands Studies World Conference (Vienna, Austria, July 2018) outside the submitted work.
Article history
The research reported in this issue of the journal was funded by the HTA programme as project number 15/171/01. The contractual start date was in January 2017. The draft report began editorial review in March 2019 and was accepted for publication in January 2020. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors’ report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report.
Last reviewed: March 2019; Accepted: January 2020.
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