Literature DB >> 33964873

Retrieval of lost patients in the system for hepatitis C microelimination: a single-center retrospective study.

Hsu-Heng Yen1,2,3, Pei-Yuan Su4, I-L Ing Liu4, Ya-Huei Zeng4, Siou-Ping Huang4, Yu-Chun Hsu4, Po-Ke Hsu4, Yang-Yuan Chen5,6.   

Abstract

BACKGROUND: Hepatitis C virus (HCV) is one of the major causes of chronic liver disease, cirrhosis, and liver cancer. Most of the infected people have no clinical symptoms. The current strategy for HCV elimination includes test and treatment. In this study, we aimed to evaluate the campaign for retrieving patients who were lost to follow-up, for subsequent re-evaluation.
METHODS: From January 2020 to October 2020, patients who had prior tests for positive anti-HCV antibody in 2010-2018 in our hospital were enrolled for our patient callback campaign. Patients who had unknown HCV RNA status or no documented successful antiviral therapy history were selected for anti-HCV therapy re-evaluation. To facilitate patient referral in the hospital, we developed an electronic reminding system and called the candidate patients via telephone during the study period.
RESULTS: Through the hospital electronic system, 3783 patients with positive anti-HCV antibody documentation were identified. Among them, 1446 (38.22%) had tested negative for HCV RNA or had anti-HCV therapy, thereby excluded. Of the 2337 eligible patients, 1472 (62.99%) were successfully contacted and called back during the study period for subsequent HCV RNA testing and therapy. We found that 42.19% of the patients had positive HCV RNA and 88% received subsequent anti-HCV therapy.
CONCLUSIONS: A significant number of patients with positive HCV serology were lost for HCV confirmatory test or therapy in the hospital. Therefore, this targeted HCV callback approach in the hospital is feasible and effective in achieving microelimination.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33964873      PMCID: PMC8105932          DOI: 10.1186/s12876-021-01792-8

Source DB:  PubMed          Journal:  BMC Gastroenterol        ISSN: 1471-230X            Impact factor:   3.067


Introduction

Chronic hepatitis C (CHC) is a major cause of chronic liver disease and liver cancer worldwide. Currently, with the newly developed direct-acting antiviral agents (DAAs), treatment of hepatitis C virus (HCV) infection has revolutionized compared with that during the interferon-based era, with significantly high rates of sustained virologic response (SVR) (> 90%) and good treatment tolerance even in those groups that are difficult to treat [1-4]. Through screening for early diagnosis and reducing the barriers for HCV treatment, the prevalence of HCV-induced chronic liver diseases and HCV-related mortality will be mitigated. The screening and diagnosis of HCV infection and patients’ adherence to treatment involve several barriers, including cost, patient awareness, and in adequate manpower. The microelimination approach [5, 6] in specific populations is less complex and less costly than the nationwide elimination approach. Specific high-risk populations such as injection drug users [7], prisoners [8], HIV-infected patients [2, 9], and dialysis patients [3] have been screened as the first step toward HCV elimination. One target population for HCV elimination is those patients with records of hepatitis C antibody testing in the hospital. Testing for hepatitis C can be performed for several reasons, such as survey for abnormal liver function, preoperative checkup, blood donation, before chemotherapy, or routine physical checkup. Despite that HCV antibody–positive patients clearly need HCV testing or treatment, Fujii [10] reported the lack of intrahospital collaboration even in medical institutions with hepatologists. Only 12% of probable HCV-positive patients were referred to specialists [11], and the majority were lost to follow-up; thus, they did not receive the subsequent therapy. Given that these new DAAs have been reimbursed by Taiwan health system since 2017 and the government set a goal of 80% treatment coverage rate with DAAs by 2025 in Taiwan [12], our hospital organized the “Retrieval of Lost Patients of the Hospital” strategy in 2020, aimed to eliminate HCV infection in the hospital by searching first for patients with a history of HCV infection who were lost to follow-up. Thus, the current study aimed to evaluate the outcome of this hospital-based HCV elimination approach for patients who were lost to follow-up.

Materials and methods

In 2020, the Health Promotion Administration of Ministry of Health and Welfare in Taiwan initiated a hepatitis C testing and treatment program that aims to eliminate HCV infection nationwide. As the only medical center in Changhua County, with an area of 1074 km2 and a population of 1.2 million located in central Taiwan, our hospital organized a hospital-based project called “Retrieval of Lost Patients of the Hospital” in response to the hepatitis C elimination campaign established by the Taiwan government in 2020. Two dedicated nurses (Liu IL and Zang YH) recontacted patients who were eligible for re-evaluation and one senior hepatologist (Su PY) reviewed the patients’ records to evaluate the recent status of patients’ survival and comorbidity status. Furthermore, using PharmaCloud in Taiwan [13], we could assess the pharmacy record of patients in the last 3 months to determine if they had been treated in other hospitals. Subsequent strategies included posting reminding sticks or electronic messages during clinic visits to facilitate referring patients to our hepatologist for subsequent evaluation and contacting the patients via telephone, SMS, or mails as possible. For HCV RNA testing and patient referral, this callback campaign adopted an HCV reflex test [14] approach with simultaneous HCV RNA and genotype checkup. Patients who tested positive for hepatitis C antibody in the hospital between 2010 and 2018 were included for the analysis. Under the approval by Changhua Christian Hospital Institutional Review Board (CCH IRB No. 200403) with the consideration of the retrospective design of the study, informed consent was waived. From the electronic medical records, medical information regarding patients’ demographics, comorbid conditions, anti-HCV treatment history, and laboratory values for HCV RNA status was extracted. All procedures conformed to the guidelines and regulations of Changhua Christian Hospital.

Statistical analysis

Data are expressed as n/N (%), median (interquartile range), or means ± standard deviation. The distribution of continuous variables was examined by one-sample Kolmogorov–Smirnov test. We used the chi-square test or the Fisher’s exact test for comparing categorical variables and the Mann–Whitney U test or Student’s t-test for comparing continuous variables. All statistical data were analyzed using the SPSS software version 18.0 (SPSS Inc., Chicago, IL, USA), with p < 0.05 indicating statistical significance.

Results

Demographic characteristics of the study population

Figure 1 illustrates the study’s patient enrollment flow. We identified 3783 patients with a record of positive anti-HCV antibody test from the hospital laboratory system. However, 1446 of them had a documentation of negative HCV RNA or SVR from anti-HCV therapy, thereby excluded from the analysis. Ultimately, we analyzed the remaining 2337 patients; their demographic characteristics are summarized in Table 1. Most of the patients aged 60–80 years (Fig. 2). Patients who were younger (< 60), were male, and recently visited the gastroenterology division or internal medicine department as an outpatient had a higher success rate of callback. Conversely, patients who underwent clinic visits in departments other than the surgery or internal medicine department or aged > 80 years had a lower callback success rate. Of the 1472 (42.2%) patients tested for HCV RNA, 621 were positive.
Fig. 1

Patient flow chart

Table 1

Comparison of characteristics of patients with successful or failed callback for HCV testing

ALL patients (n = 2337)Back (n = 1472)Not Back (n = 865)p value
Age, year, median (IQR)65 (55–75)64 (54–73)67 (57–78)< 0.001
Age level, n/N (%)< 0.001
< 60794/2337 (34.0)541/1472 (36.8)253/865 (29.2)< 0.001
60–801154/2337 (49.4)738/1472 (50.1)416/865 (48.1)0.362
 ≥ 80389/2337 (16.6)193/1472 (13.1)196/865 (22.7)< 0.001
Gender (M), n/N (%)1151/2337 (49.3)762/1472 (51.8)389/865 (45.0)0.002
Residence, n/N (%)0.282
Changhua County1433/2337 (61.3)910/1472 (61.8)523/865 (60.5)
Changhua City464/2337 (19.9)299/1472 (20.3)165/865 (19.1)
Others440/2337 (18.8)263/1472 (17.9)177/865 (20.5)
Outpatient clinic/N (%)< 0.001
Division of Gastroenterology374/2337 (16.0)293/1472 (19.9)81/865 (9.4)< 0.001
Department of Internal Medicine668/2337 (28.6)462/1472 (31.4)206/865 (23.8)< 0.001
Department of Surgery536/2337 (22.9)321/1472 (21.8)215/865 (24.9)0.101
Other department in the hospital499/2337 (21.4)236/1472 (16.0)263/865 (30.4)< 0.001
Referral or unknown260/2337 (11.1)160/1472 (10.9)100/865 (11.6)0.656
Fig. 2

Patient retrieval rate according to age group

Patient flow chart Comparison of characteristics of patients with successful or failed callback for HCV testing Patient retrieval rate according to age group

Results of different retrieval strategies

Table 2 summarizes the results of different retrieval strategies. As found in the initial chart review and the treatment records in the PharmaCloud, most of the patients did not undergo anti-HCV therapy because of either death or severe comorbidity. The remaining patients were approached by the electronic reminding system during their clinic visit, followed by telephone contact.
Table 2

Patient retrieval strategies and results

Patient retrieval methodsTelephoneElectronic RemindSMSOthersap value
Back group981349718p < 0.0001
Not back group515903277
Treated in other hospital1423049
Unable to contact2611217
Refused evaluation802319
Deceased9145
Co-morbidity812153
Others1534
Total case number613141910295

aOther methods of patient retrieval include initial chart review for patient comorbidity status, survival and PharmaCloud review for therapy outside the hospital

Patient retrieval strategies and results aOther methods of patient retrieval include initial chart review for patient comorbidity status, survival and PharmaCloud review for therapy outside the hospital

Demographic characteristics of patients receiving the HCV RNA testing

Table 3 lists the demographic characteristics of the 1472 patients with HCV RNA testing. Most of them aged 60–80 years old. Patients who were older (≥ 80), were male, and had recent outpatient visit in a non-gastroenterology division had a high rate of positive HCV RNA testing. Subsequent anti-HCV therapy was initiated for 88.1% of patients who were tested positive for HCV RNA. The reasons for not initiating anti-HCV therapy in the hospital were as follows: patient refusal, severe comorbidity, therapy in other hospitals, and loss of subsequent patient contact.
Table 3

Comparison of characteristics of patients receiving HCV RNA testing

All patient receiving HCV RNA testing (n = 1472)Positive HCV RNA (n = 621)Negative HCV RNA (n = 851)p value
Age, year, median (IQR)64 (54–73)64 (54–75)64 (55–72)0.711
Age level, n/N (%)0.012
< 60541/1472 (36.8)231/621 (37.2)310/851 (36.4)0.804
60–80738/1472 (50.1)291/621 (46.9)447/851 (52.5)0.036
≥ 80193/1472 (13.1)99/621 (15.9)94/851 (11.0)0.008
Gender, n/N (%)762/1472 (51.8)331/621 (53.3)431/851 (50.6)0.314
Residence, n/N (%)0.382
Others263/1472 (17.9)101/621 (16.3)162/851 (19.0)
Changhua County910/1472 (61.8)393/621 (63.3)517/851 (60.8)
Changhua City299/1472 (20.3)127/621 (20.5)172/851 (20.2)
Outpatient clinic, n/N (%)< 0.001
Division of Gastroenterology293/1472 (19.9)104/621 (16.7)189/851 (22.2)0.012
Department of internal medicine462/1472 (31.4)185/621 (29.8)277/851 (32.5)0.285
Department of surgery321/1472 (21.8)121/621 (19.5)200/851 (23.5)0.075
Referral or unknown160/1472 (10.9)121/621 (19.5)39/851 (4.6)< 0.001
Other department in the hospital236/1472 (16.0)90/621 (14.5)146/851 (17.2)0.192
Anti-HCV therapy provided, n/N (%)547/1472 (88.1)547/621 (88.1)
Reason for not initiating anti-HCV therapy/N (%)74/621 (11.9)
Loss for contact6/74 (8.1)
Treated in other hospital7/74 (9.5)
Refusal of therapy25/74 (33.8)
Deceased3/74 (4.1)
Severe illness24/74 (32.4)
Others9/74 (12.2)
Comparison of characteristics of patients receiving HCV RNA testing

Discussion

This single-center retrospective study reported the HCV microelimination results focusing on retrieving patients with HCV infection who were lost to follow-up in a hospital-based setting. Unfortunately, a significant proportion (61.78%) of patients who were positive for HCV antibody was not evaluated for HCV therapy in the hospital. Through the project, a patient retrieval rate of 62.99% and the subsequent HCV treatment rate of 88% were achieved. Screen All and Treat All strategy is ideal [15, 16] but not cost effective to eliminate HCV in most clinical settings. In the United States, only 20% of the 3.5 million HCV-infected patients were screened by serological tests, with only 27% of them had HCV RNA testing, and finally, only 9% of the total pool was successfully treated [17]. Another study from the Swedish National Patient Register found that two-thirds of the 29,217 HCV-infected patients need further HCV care. Effective identification of patients with chronic HCV infection is the first step toward HCV elimination and is beneficial for clinicians and public health officials with limited financial support and lack of screening manpower. Screening for high-risk subpopulations, such as injection drug users [7], prisoners [8], HIV-infected patients [2, 9], or dialysis patients [3], has been effective as the first step toward HCV elimination. Before the instruction of current direct oral anti-viral therapy, a low cure rate of 60%–80% and significant side effects from treatment related factor may account for the low HCV evaluation rate [18]. Patient factors such as unawareness of the disease, and lack of access to medical care, and healthcare system factors such lack of knowledge of the healthcare professionals and/or lack of interest for referral [19] account for the high percentage of HCV-infected patients without referral for further confirmatory testing or treatment in the hospital. One way to help eliminate HCV infection is by utilizing an electronic reminding system, which reportedly can increase the referral rate from 17 to 65% of patients for their subsequent therapy [10, 14, 19]. Considering that our study had already identified the HCV population, our hospital conducted the project “Retrieval of Lost Patients of the Hospital,” which aimed to eliminate hepatitis C infection in the hospital as an initial step toward HCV elimination. Our study found that 61.78% of the hospital patients were uninvestigated for HCV care; nonetheless, two-thirds of them can be reached using an electronic reminding system, and more patients were retrieved via telephone call. A similar patient retrieval approach was reported in the Netherlands and Spain (Table 4). Beekmans et al. [20] reported that 30.1% of patients with hepatitis C were lost to follow-up for hospital care and only three of the 150 candidate patients were re-evaluated for treatment in 2018. Furthermore, Patricia et al. [21] conducted the REACH study to retrieve patients with positive HCV diagnostic test results from four hospitals in Utrecht in 2019, and they obtained a patient retrieval rate of 17.4%. A recent interventional study from Spain [22] retrieved patients who were lost to follow-up through several phone calls and emails, and the retrieval rate was 46%.
Table 4

List of studies focusing on the retrieval of lost-to-follow-up patients for HCV micro-elimination in the literature

YearCountryCandidate for retrieval/HCV Ab (+) patientRetrieved patient/candidate for retrievalPositive HCV RNA/tested patientHCV therapy/positive HCV RNAReferences
018Holland150/499 (30.1%)4/20 (25%)3/4 (75%)3/3 (100%)Beekmans et al. [20]
2019Netherland269/1913 (14.1%)47/269 (17.4%)42/47 (89.4%)42/42 (100%)Kracht et al. [21]
2020Netherland308/689 (44.7%)90/308 (29%)19/34 (55.9%)12/19 (61.2%)Heil et al. [27]
2021Spain530/1330 (39.8%)244/530 (46%)153/244 (62.7%)141/153 (92.2%)Guerra Veloz et al. [22]
2021Taiwan2337/3783 (61.8%)1472/2337 (62.9%)621/1472 (42.2%)547/621 (88.1%)Present study
List of studies focusing on the retrieval of lost-to-follow-up patients for HCV micro-elimination in the literature In our study, the patient retrieval rate was high, owing to the use of both in-hospital “passive” approach (i.e., physicians are systematic made aware through diverse electronic reminding systems and reflex anti-HCV testing) and out-hospital “active” approach (i.e., contacting patients directly by phone and arranging schedules for one-step HCV testing to increase the test uptake). Hence, a combined approach is required to maximize the retrieval rate of patients who were lost to follow-up, especially when COVID-19 has significant impact for patient retrieval in the health care system during 2020 [23, 24]. In addition, multiple education activities for patients or health professionals from the government part and hospital part during the period explains our high patient retrieval rate. As reported in a previous study, older patients and patients with clinic visit in other departments are more difficult to retrieve [20, 22, 25], and further interventional measurements, such as education for both patients and health professionals, may further increase the patient retrieval rate and contribute to the goal of HCV elimination. Meanwhile, the current study has several limitations. First, this retrospective study enrolled patients over a 1-year period in a single institution, with no standardized protocol to record the patients’ baseline characteristics for further analysis to enhance patient acceptance. Second, we encouraged patients during telephone call to undergo HCV testing and treatment. We failed to thoroughly investigate the reasons for patient refusal during telephone call; possible reasons include unstable housing or financial resources, concomitant psychiatric disease, or concern for COVID-19 infection in the hospital [26].

Conclusions

This HCV-targeted callback approach identified a significant proportion of patients with positive HCV antibody that remained unevaluated for HCV RNA testing or therapy in the hospital. Therefore, this approach is feasible and effective in achieving HCV microelimination.
  26 in total

1.  Achieving hepatitis C elimination in Taiwan-Overcoming barriers by setting feasible strategies.

Authors:  Grace Hui-Min Wu; Raoh-Fang Pwu; Shih-Chung Chen
Journal:  J Formos Med Assoc       Date:  2018-11-16       Impact factor: 3.282

2.  Improving medication safety by cloud technology: Progression and value-added applications in Taiwan.

Authors:  Chieh-Yu Liao; Ming-Fen Wu; Sek-Kwong Poon; Ying-Mei Liu; Hsiu-Chu Chen; Chieh-Liang Wu; Wayne H-H Sheu; Wen-Shyong Liou
Journal:  Int J Med Inform       Date:  2019-03-20       Impact factor: 4.046

Review 3.  Securing sustainable funding for viral hepatitis elimination plans.

Authors:  Angelos Hatzakis; Jeffrey V Lazarus; Evangelos Cholongitas; Ricardo Baptista-Leite; Charles Boucher; Cristian-Silviu Busoi; Sylvie Deuffic-Burban; Jagpreet Chhatwal; Gamal Esmat; Sharon Hutchinson; Minerva-Melpomeni Malliori; Mojca Maticic; Antons Mozalevskis; Francesco Negro; George A Papandreou; George V Papatheodoridis; Markus Peck-Radosavljevic; Homie Razavi; Tatjana Reic; Eberhard Schatz; Nurdan Tozun; Zobair Younossi; Michael P Manns
Journal:  Liver Int       Date:  2019-12-05       Impact factor: 5.828

4.  Linkage to care strategy for the micro-elimination of hepatitis C among parenteral drug users on methadone replacement therapy in Gipuzkoa.

Authors:  Ylenia Pérez Castaño; José Manuel Chouza Pérez; Vanesa Sanz Largo; Edurne Almandoz Cortajarena; Alexandra Gómez García; Francisco Javier Esandi González; Agustín Castiella Eguzkiza; Sandra Arranz Díaz; Itxaso Urtasun Lugea; Maria José Sánchez Iturri; Borja Gil Fernández; Luis Bujanda; Juan Arenas Ruiz-Tapiador
Journal:  Rev Esp Enferm Dig       Date:  2020-07       Impact factor: 2.086

5.  Find the Missing Millions: Malaysia's experience with nationwide hepatitis C screening campaign in the general population.

Authors:  Rosaida Md Said; Rozainanee Mohd Zain; Huan-Keat Chan; Shahrul Aiman Soelar; Norhayati Rusli; Nazrila Hairizan Nasir; Rozita Zakaria; Muhammad Radzi Abu Hassan
Journal:  J Viral Hepat       Date:  2020-02-12       Impact factor: 3.728

6.  Glecaprevir-pibrentasvir for chronic hepatitis C: Comparing treatment effect in patients with and without end-stage renal disease in a real-world setting.

Authors:  Hsu-Heng Yen; Pei-Yuan Su; Ya-Huei Zeng; I-Ling Liu; Siou-Ping Huang; Yu-Chun Hsu; Yang-Yuan Chen; Chia-Wei Yang; Shun-Sheng Wu; Kun-Ching Chou
Journal:  PLoS One       Date:  2020-08-13       Impact factor: 3.240

7.  REtrieval And cure of Chronic Hepatitis C (REACH): Results of micro-elimination in the Utrecht province.

Authors:  Patricia A M Kracht; Joop E Arends; Karel J van Erpecum; Steven F T Thijsen; Bart J M Vlaminckx; Annemarie J L Weersink; Anne M J Wensing; Marjolein P H Deege; Marieke Dimmendaal; Paul H G M Stadhouders; Philip W Friederich; Marc A M T Verhagen; Greet J Boland; Andy I M Hoepelman
Journal:  Liver Int       Date:  2018-10-16       Impact factor: 5.828

Review 8.  The treatment cascade for chronic hepatitis C virus infection in the United States: a systematic review and meta-analysis.

Authors:  Baligh R Yehia; Asher J Schranz; Craig A Umscheid; Vincent Lo Re
Journal:  PLoS One       Date:  2014-07-02       Impact factor: 3.240

9.  Management of patients with liver derangement during the COVID-19 pandemic: an Asia-Pacific position statement.

Authors:  Grace Lai-Hung Wong; Vincent Wai-Sun Wong; Alex Thompson; Jidong Jia; Jinlin Hou; Cosmas Rinaldi Adithya Lesmana; Adityo Susilo; Yasuhito Tanaka; Wah-Kheong Chan; Ed Gane; Arlinking K Ong-Go; Seng-Gee Lim; Sang Hoon Ahn; Ming-Lung Yu; Teerha Piratvisuth; Henry Lik-Yuen Chan
Journal:  Lancet Gastroenterol Hepatol       Date:  2020-06-23

10.  Establishing Efficient Systems through Electronic Medical Records to Promote Intra-hospital Referrals of Hepatitis Virus Carriers to Hepatology Specialists: A Multicenter Questionnaire-based Survey of 1,281 Healthcare Professionals.

Authors:  Isao Hidaka; Masaru Enomoto; Syuichi Sato; Atsushi Suetsugu; Tomomitsu Matono; Kiyoaki Ito; Koji Ogawa; Jun Inoue; Mika Horino; Yasuteru Kondo; Isao Sakaida; Masaaki Korenaga
Journal:  Intern Med       Date:  2021-02-01       Impact factor: 1.271

View more
  2 in total

1.  Pan-Genotypic Direct-Acting Antiviral Agents for Undetermined or Mixed-Genotype Hepatitis C Infection: A Real-World Multi-Center Effectiveness Analysis.

Authors:  Hsu-Heng Yen; Yang-Yuan Chen; Jun-Hung Lai; Hung-Ming Chen; Chih-Ta Yao; Siou-Ping Huang; I-Ling Liu; Ya-Huei Zeng; Fang-Chi Yang; Fu-Yuan Siao; Mei-Wen Chen; Pei-Yuan Su
Journal:  J Clin Med       Date:  2022-03-27       Impact factor: 4.241

2.  Machine-Learning Algorithm for Predicting Fatty Liver Disease in a Taiwanese Population.

Authors:  Yang-Yuan Chen; Chun-Yu Lin; Hsu-Heng Yen; Pei-Yuan Su; Ya-Huei Zeng; Siou-Ping Huang; I-Ling Liu
Journal:  J Pers Med       Date:  2022-06-23
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.