Evidence map›Paper›PMID 26327606›Full record

ArticlePloS one2015

Development of Self-Management Indicators for Chronic Hepatitis B Patients on Antiviral Therapy: Results of a Chinese Delphi Panel Survey.

Ling-Na Kong, Ying Guo, Bo Qin, Xin Peng, Wen-Fen Zhu

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ling-Na KongDepartment of Infectious Diseases, the First Affiliated Hospital of Chongqing Medical University, Chongqing, PR China.
Ying GuoDepartment of Internal Medicine, Outpatient Department, the Second Affiliated Hospital of Harbin Medical University, Harbin, PR China.
Bo QinDepartment of Infectious Diseases, the First Affiliated Hospital of Chongqing Medical, University, Chongqing, PR China.
Xin PengSchool of Nursing, Jilin University, Changchun, PR China.
Wen-Fen ZhuThe Nursing College of Chongqing Medical University, Chongqing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis 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.

methodsA 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.

resultsThe 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.

conclusionThis 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.

Indexed as

Adaptation, PsychologicalAdultAntiviral AgentsChinaDelphi TechniqueFemaleHepatitis B, ChronicHumansMaleMedication AdherenceMiddle AgedQuality Indicators, Health CareSelf CareSurveys and QuestionnairesAntiviral Agents

Identifiers

PMID26327606
PMCPMC4556706

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.