Presenting risk information in sexual and reproductive health care
| Autor: | Hannat Akintomide, Anna L. David |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Relative risk reduction
Gerontology 030219 obstetrics & reproductive medicine Framingham Risk Score Management science business.industry Absolute risk reduction Obstetrics and Gynecology General Medicine Risk perception 03 medical and health sciences 0302 clinical medicine Patient satisfaction Reproductive Medicine Number needed to treat Decision aids Medicine 030212 general & internal medicine Risk assessment business |
| Zdroj: | Journal of Family Planning and Reproductive Health Care. 42:213-219 |
| ISSN: | 2045-2098 1471-1893 |
| DOI: | 10.1136/jfprhc-2012-100301 |
| Popis: | Objectives Presenting risk information to patients is an important part of clinical encounters. Good risk communication improves patient satisfaction with their care and the decisions they make. In sexual and reproductive healthcare (SRH), women frequently need to make decisions based on their perceived risk. Risk perception can be altered by how actual risk is presented to patients. Methods Databases were searched using MeSH terms combined with a keyword search for articles relevant to SRH; the search was limited to English language. Results Personalised risk communication where a risk score is provided, increases knowledge and slightly increases uptake of screening tests. Decision aids improve a patient9s knowledge of the options, create realistic expectations of their benefits and harms, reduce difficulty with decision-making, and increase participation in the process. The most effective way to present risks uses a range of structured, tailored presentation styles; interactive formats are best. Framing the information improves patient understanding. Most people understand natural frequencies or event rates better than probability formats with varying denominators. Expressing changes in risk as an absolute risk reduction or relative risk reduction with baseline risk formats improves understanding. Descriptive terms such as ‘low risk’ or ‘high risk’ should be quantified as a frequency rather than a percentage. Using a consistent denominator to portray risk is recommended. Using the ‘number needed to treat’ and visual aids puts benefits or risks into perspective. The duration of risk should be presented. Conclusion Presenting risk information to patients can be optimised using a number of strategies. |
| Databáze: | OpenAIRE |
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