Evidence map›Paper›PMID 32884337›Full record

ArticleCancer management and research2020

Adherence to Hepatocellular Carcinoma Surveillance and Perceived Barriers Among High-Risk Chronic Liver Disease Patients in Yunnan, China.

Jingyi Dai, Jun Zhao, Yingrong Du, Lin Zhuang, Edward B McNeil, Virasakdi Chongsuvivatwong

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Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jingyi Dai *Department of Liver Diseases, The Third People's Hospital of Kunming City, Kunming, Yunnan, People's Republic of China.
Jun Zhao *Department of Preventive Medicine, School of Public Health and Management, Hubei University of Medicine, Shiyan, Hubei, People's Republic of China.ORCID 0000-0002-0045-311X
Yingrong DuDepartment of Liver Diseases, The Third People's Hospital of Kunming City, Kunming, Yunnan, People's Republic of China.ORCID 0000-0001-5872-865X
Lin ZhuangDepartment of Liver Diseases, The Third People's Hospital of Kunming City, Kunming, Yunnan, People's Republic of China.
Edward B McNeilEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-9492-1040
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.ORCID 0000-0002-9850-4463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData concerning adherence to hepatocellular carcinoma (HCC) surveillance among chronic liver disease (CLD) patients at high risk of developing HCC in China are limited. We aimed to examine the relationship between HCC-related knowledge dimensions and adherence to HCC surveillance procedures among chronic liver disease patients at high risk of developing HCC and to identify potential barriers.

methodsA total of 380 patients with chronic liver disease at high risk of developing HCC were recruited between May and August 2018 to complete a survey during the first week of their first hospitalization at the Third People's Hospital of Kunming in China. We followed up each patient up to 7 months by telephone to confirm whether the patient returned to complete investigations for HCC surveillance. Patient's socio-demographic characteristics, HCC-related knowledge, and perceived barriers to HCC surveillance were measured using a structured questionnaire during their hospitalization. Factor analysis was performed on the knowledge questions to reduce the dimensions. Univariate and multivariate analyses were performed to examine the association between dimensions of HCC-related knowledge and patients' adherence to HCC surveillance.

resultsA total of 327 eligible patients had been successfully contacted in the follow-up phase. Only a quarter of patients completed HCC surveillance within 7 months after their first admission to hospital. High costs and perceived poor test efficacy were the two major barriers for HCC surveillance. Three common factors were derived from the factor analysis of HCC-related knowledge, namely, "Surveillance", "Lifestyle", and 'Prognosis'. Knowledge of HCC surveillance and lifestyle but not prognosis had an influence on adherence to HCC surveillance. Patients with better surveillance and lifestyle knowledge domain had better adherence to HCC surveillance.

conclusionAdherence to HCC surveillance procedures is low in the study area. Closing the gap in HCC-related knowledge, particularly regarding surveillance and lifestyle, may help to increase adherence rates.

Indexed as

adherencebarriersHCC surveillanceknowledge

Identifiers

PMID32884337
PMCPMC7434375

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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.