Jeremy Y Ng1, Alexandra Vacca2, Tanya Jain2. 1. Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Discovery, Room 2112, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada. ngjy2@mcmaster.ca. 2. Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Michael G. DeGroote Centre for Learning and Discovery, Room 2112, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada.
Abstract
BACKGROUND: Complementary and alternative medicine (CAM) use is prevalent among patients living with arthritis. Such patients often seek information online, for the purpose of gaining a second opinion to their healthcare provider or even self-medication. Little is known about the quality of web-based consumer health information at the intersection of CAM and arthritis; thus, investigating the quality of websites containing this information was the purpose of this study. METHODS: Four unique search terms were searched on Google across four English-speaking countries. We assessed the first 20 results of each search, including them if they contained CAM consumer health information for the treatment and/or management of arthritis. Eligible websites were assessed in duplicate using the DISCERN instrument, which consists of 16-items designed to assess quality. RESULTS: Of total of 320 webpages, 239 were duplicates, and a total of 38 unique websites were deemed eligible and assessed using the DISCERN instrument. The mean summed DISCERN scores across all websites was 55.53 (SD = 9.37). The mean score of the overall quality of each website was 3.71 (SD = 0.63), thus the majority of websites are ranked as slightly above 'fair' quality. CONCLUSION: Eligible websites generally received scores better than 'moderate' in terms of overall quality. Several shortcomings included a lack of transparency surrounding references used and underreporting of risks associated with treatment options. These results suggest that health providers should be vigilant of the variable quality of information their patients may be accessing online and educate them on how to identify high quality resources.
BACKGROUND: Complementary and alternative medicine (CAM) use is prevalent among patients living with arthritis. Such patients often seek information online, for the purpose of gaining a second opinion to their healthcare provider or even self-medication. Little is known about the quality of web-based consumer health information at the intersection of CAM and arthritis; thus, investigating the quality of websites containing this information was the purpose of this study. METHODS: Four unique search terms were searched on Google across four English-speaking countries. We assessed the first 20 results of each search, including them if they contained CAM consumer health information for the treatment and/or management of arthritis. Eligible websites were assessed in duplicate using the DISCERN instrument, which consists of 16-items designed to assess quality. RESULTS: Of total of 320 webpages, 239 were duplicates, and a total of 38 unique websites were deemed eligible and assessed using the DISCERN instrument. The mean summed DISCERN scores across all websites was 55.53 (SD = 9.37). The mean score of the overall quality of each website was 3.71 (SD = 0.63), thus the majority of websites are ranked as slightly above 'fair' quality. CONCLUSION: Eligible websites generally received scores better than 'moderate' in terms of overall quality. Several shortcomings included a lack of transparency surrounding references used and underreporting of risks associated with treatment options. These results suggest that health providers should be vigilant of the variable quality of information their patients may be accessing online and educate them on how to identify high quality resources.
Entities:
Keywords:
Arthritis; Complementary and alternative medicine; Consumer health information; DISCERN; Information assessment; Quality of information
Authors: Saeid Safiri; Ali Asghar Kolahi; Damian Hoy; Emma Smith; Deepti Bettampadi; Mohammad Ali Mansournia; Amir Almasi-Hashiani; Ahad Ashrafi-Asgarabad; Maziar Moradi-Lakeh; Mostafa Qorbani; Gary Collins; Anthony D Woolf; Lyn March; Marita Cross Journal: Ann Rheum Dis Date: 2019-09-11 Impact factor: 19.103