An ask-the-expert service on a rheumatology web site: who were the users and what did they look for?

Arthritis Care Res (Hoboken). 2011 Apr;63(4):604-11. doi: 10.1002/acr.20399.

Abstract

Objective: To analyze the inquiries sent to an online ask-the-rheumatologist service in order to identify the users' needs and requirements.

Methods: The official web site of the German Competence Network Rheumatology (www.rheumanet.org) provided expert information for patients, relatives, and physicians. We analyzed the content of 1,133 inquiries posted over 5 years and the experts' answers were blinded for analyses.

Results: Patients (60.0%), relatives (24.3%), and physicians (15.7%) addressed the experts. Inquiries were predominantly sent by women (62.2%). Distinct rheumatic diseases were mentioned in 40.5% of the inquiries, and 16.3% reported musculoskeletal symptoms without a definite diagnosis. The number of questions ranged from 1-7 per inquiry (mean±SD 1.58±0.9). Of the inquiries, 33.2% contained personal histories, 24.9% searched for a rheumatologist nearby, and 11.6% asked for a "second opinion." The questions covered a wide range of interests, including medication (30.8%), diagnosis-related issues (15.7%), laboratory tests (6.9%), (treatment) guidelines (6.2%), sexual and reproductive health issues (4.1%), and clinical trials (3.4%). In more than 50% of the inquiries, the information requested from the experts was already at least partly published on the web site. The experts' answers covered the users' questions completely in 91.8%, partly in 6.1%, and not at all in 2.1%.

Conclusion: A standardized medical web site providing tailored and trustworthy information for all user groups gains from an ask-the-expert service. Only such an interactive online application is able to satisfy users' actual demands: searching for specific individualized information on the internet. Therefore, an ask-the-expert service contributes to optimized patient care.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Internet / standards
  • Internet / statistics & numerical data*
  • Male
  • Medical Informatics / methods
  • Medical Informatics / standards*
  • Middle Aged
  • Patient Education as Topic / methods
  • Patient Education as Topic / standards
  • Referral and Consultation / standards
  • Referral and Consultation / statistics & numerical data
  • Rheumatology* / methods
  • Rheumatology* / standards
  • Surveys and Questionnaires / standards
  • Young Adult