z-logo
open-access-imgOpen Access
Development of Self-Management Indicators for Chronic Hepatitis B Patients on Antiviral Therapy: Results of a Chinese Delphi Panel Survey
Author(s) -
Ling-Na Kong,
Ying Guo,
Bo Qin,
Xin Peng,
Wen-Fen Zhu
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0134125
Subject(s) - chronic hepatitis , medicine , antiviral therapy , delphi method , hepatitis b , virology , virus , computer science , artificial intelligence
Objective This study aimed to develop a set of indicators that could be used to measure and monitor the self-management performance for chronic hepatitis B (CHB) patients on antiviral therapy in China. Methods A two-round Delphi study via e-mail correspondence was conducted, with a group of 30 Chinese experts. The Delphi questionnaire consisted of 53 indicators identified from a literature review. Experts rated and scored the importance of indicators on a five-point Likert scale. Consensus was considered to be reached if a median score in the top tertile (4-5) and ≥80% of panel ratings in the top tertile (4-5) after Round 2. The included indicators were validated with a group of 106 CHB patients. Results The response rates for the first and second rounds were 90.9% (n=30) and 86.7% (n=26), respectively. Three new indicators were suggested in the first round. 55 indicators were included in the second round after modified. 45 (81.8%) indicators achieved on the level of consensus, all of which had an inter-quartile range of 1 or below. The final set included 4 domains and 45 indicators which were well accepted and understandable by CHB patients. Conclusion This Delphi study produced a set of 45 self-management indicators for CHB patients on antiviral therapy in China. These indicators could be used to measure and monitor the patients’ self-management performance, with the goal of improving the quality of life in this population.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom