Online Decision Aids for Knee Arthroplasty: An Environmental Scan

JBJS Rev. 2021 Apr 8;9(4). doi: 10.2106/JBJS.RVW.20.00088.

Abstract

Background: Knee arthroplasty is a high-risk, resource-intensive procedure that should be reserved for patients in whom the benefit will outweigh the risks. The provision of high-quality, publicly available decision aids can help patients to balance the benefits against the harms of treatments and to assist informed decision-making. The aim of this study was to identify and evaluate the content and readability of freely available knee arthroplasty decision aids.

Methods: A systematic search using an environmental scan methodology of publicly available online materials was performed in December 2018. Included materials were assessed for quality using the International Patient Decision Aid Standards instrument (IPDASi), understandability and actionability from a patient's perspective using the Patient Education Materials Assessment Tool (PEMAT), and readability grade level using the Flesch-Kincaid Grade Level and the Gunning Fog Index.

Results: Of 761 online materials screened, 26 decision aids were identified. Only 18 (69%) may be considered to meet criteria to be defined as a decision aid and 4 (15%) met criteria suggesting that the material did not introduce potential harmful bias according to the IPDASi. The mean score (and standard deviation) for all decision aids was 74% ± 12% for understandability and 44% ± 19% for actionability using the PEMAT. Readability indices indicated a mean minimum reading level of Grade 10 (10.8 ± 2.5). No decision aid included a wait-and-see option.

Conclusions: Few high-quality decision aids exist for patients considering knee arthroplasty and none include a wait-and-see option. Many do not provide actionable options and are pitched at above-average reading levels. Developers need to address these issues to encourage high-quality decision-making, especially for those with low health literacy.

MeSH terms

  • Arthroplasty, Replacement, Knee*
  • Comprehension
  • Decision Support Techniques
  • Humans