Self-management of self-limiting diseases via a web-based communication system for digital triage in Primary Care
AUTHORS:
Van Gemert-Pijnen JEWC* 1 (j.vangemert-pijnen@gw.utwente.nl), Cranen K 2, Verlinden SSF 3, Boer H 1, Nijland N 1, Verhoeven F 1, Seydel ER 1
INSTITUTIONS:
1) University of Twente, Enschede, Netherlands 2) Roessingh Research & Development, Institute for Research in Rehabilitation Medicine and Technology, Enschede, Netherlands 3) Vivici Bv, Leiden, Netherlands
BACKGROUND:
Previous studies demonstrated that health care consumers favor web-based communication systems to control their own care (1). For these self-management services to succeed, web-based communication systems have to be tailored to the diversity of health consumers’ needs. The web-based communication system used encrypted software for secure exchange of information. Users had to log on with a user-ID password. The system required a pre-existing relationship between care consumers and caregivers, and was therefore a system with type B interactions (Bona fide relationship, (2)). The system offered the following types of facilities to care consumers: a) general health information via online brochures, b) a symptom driven digital triage system for self-care, that consisted of a dynamic questioning-and answering system. The digital triage system provided a self-care advice; it can be seen as a “computer consult”, c) a digital triage system combined with free-text (e-mail) to communicate with a GP (e-mail consult). In this paper we evaluated the digital triage system, or “computer consult” (b).
The symptom driven triage system (ISO 9000:2000 standards; certified TNO-QMIC) was developed with 25 ‘entry’ complaints based on the criteria: high frequency, no physical contact required to assess medical situation, and the possibility to rule out emergencies. Each complaint leads to a specific triage module. Information required to asses the specific health situation was gathered through a dynamic questionnaire, varying on gender, age, and answers on previous questions. Upon completion, the expert system assesses the urgency of the current health situation and provides an advice.
The consumers received an online form (computer generated) with a diagnose and an advice, based on the information gathered through the health compliant related questions-and-answers, and varying from “contact a doctor immediately” to a tailored self-care advice. We examined the compliance with care advices provided via the expert system, e.g., the digital triage part of the system.
OBJECTIVE:
To empower health consumers to control their health behavior and to facilitate primary care practice.
METHODS:
The frequencies of various complaints and the types of advice provided by the system were examined (during15 months, 2005) via retrospective analysis of complaints entered by 6.540 consumers. To determine factors influencing compliance with self-care advice a theory-based online survey (n=192) was carried out presented at the website. A follow-up questionnaire (n=35) was used for assessing the actual compliance with the advice (3 months period, 2006)
RESULTS:
Of the 6.540 consumers who started a digital consult, 59% (n=3785) completed it and received a care advice. The frequency of the clinical problems presented most was: cough (22.4%, n=848), dermatitis (13.9%, n=526), urinary complaints (11.6%, n=439), diarrhea (9.8%, n=371) and headache (8%, n=303). In 14% (n=543) of cases, a fully automated problem tailored self-care advice was provided. The vast majority (86%) received an advice to contact a doctor; within 24 hours (51%), 17% within 4 hours, and 14% within 1 hour. The attitude (p<0.001) towards the provided advice, the experienced confidence in the advice (p<0.001), and the judgment about the effectiveness of the provided advice (p<0.001) appeared to be significant predictors (predictive power 55%) of the intention to follow-up the advice. It appeared from the follow-up questionnaire that 57% of the 35 respondents actually complied with the given advice. Education (p<0.01), medication use (p<0.05), pre-existing plans to act on the advice (p<0.001), correspondence between expected and received advice (p<0.001) significantly influenced compliance.
CONCLUSION:
Digital triage promotes self-management of self-limiting diseases especially for chronic care patients, and consumers who have confidence in computer-generated advice and who planned to act on the advice. Therefore, web-based consultation can contribute to a more efficient primary care system, it facilitates the gatekeepers’ function. To promote web-based communication, further research is needed about factors that influence the efficiency and effectiveness of digital triage related to (non)compliance.
REFERENCES:
1. Moyer CA, et al., Bridging the electronic divide: Patient and provider perspectives on e-mail communication in primary care. Am J Manag Care 2002;8(5): 427–33.
2. Eysenbach G. Towards ethical guidelines for dealing with unsolicited health care consumer emails and giving teleadvice in the absence of a pre-existing health care consumer-physician relationship systematic review and expert survey. J Med Internet Res 2000 Jan-Mar;2(1):e1.
Oral presentation @ MedNet2007 Leipzig
1 Comment »
Leave a comment
-
Recent
- Nederland heeft een ziektestelsel in plaats van een gezondheidsstelsel
- Computer Generated Self-Care Advice via Web-Based Triage of Complaints in Primary Care
- Normen en standaarden voor het elektronisch patient dossier. Inzicht bij de te maken keuzes
- A personal health care record (PHR) based on international open standards facilitates true patient empowerment
- Self-management of self-limiting diseases via a web-based communication system for digital triage in Primary Care
- Digital triage to discriminate medical complaints for which a general practitioner (GP) should be consulted from complaints for which a self-care advice can be given.
-
Links
-
Archives
- June 2009 (1)
- March 2009 (1)
- January 2009 (1)
- October 2007 (3)
-
Categories
-
RSS
Entries RSS
Comments RSS

hi
enjoyed the article. I am working on something similar in Scotland with primary and secondary care doctors. We use predictive modelling, web based self care, point of care teasts and e consults. It would be great to hear more about what you do.
Andrew Fowlie
Dr Grays Hospital
Elgin Moray Scotland