Ying Li

Ying Li


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 July 2013 in BMC Medicine
Verified
Journal Article
Open access
PDF file
YLYing Li
Ying Li
JEJohn Ehiri
John Ehiri
STShenglan Tang
Shenglan Tang
DLDaikun Li
Daikun Li
YBYongqiao Bian
Yongqiao Bian
JCJia Cao
Jia Cao
Background: Delay in seeking care is a major impediment to effective management of tuberculosis (TB) in China. To elucidate factors that underpin patient and diagnostic delays in TB management, we conducted a systematic review and meta-analysis of factors that are associated with delays in TB care-seeking and diagnosis in the country. Methods: This review was prepared following standard procedures of the Cochrane Collaboration and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and checklist. Relevant studies published up to November 2012 were identified from three major international and Chinese literature databases: Medline/PubMed, EMBASE and CNKI (China National Knowledge Infrastructure). Results: We included 29 studies involving 38,947 patients from 17 provinces in China. Qualitative analysis showed that key individual level determinants of delays included socio-demographic and economic factors, mostly poverty, rural residence, lack of health insurance, lower educational attainment, stigma and poor knowledge of TB. Health facility determinants included limited availability of resources to perform prompt diagnosis, lack of qualified health workers and geographical barriers. Quantitative meta-analysis indicated that living in rural areas was a risk factor for patient delays (pooled odds ratio (OR) (95% confidence interval (CI)): 1.79 (1.62, 1.98)) and diagnostic delays (pooled OR (95% CI): 1.40 (1.23, 1.59)). Female patients had higher risk of patient delay (pooled OR (95% CI): 1.94 (1.13, 3.33)). Low educational attainment (primary school and below) was also a risk factor for patient delay (pooled OR (95% CI): 2.14 (1.03, 4.47)). The practice of seeking care first from Traditional Chinese Medicine (TMC) providers was also identified as a risk factor for diagnostic delay (pooled OR (95% CI): 5.75 (3.03, 10.94)). Conclusion: Patient and diagnostic delays in TB care are mediated by individual and health facility factors. Population-based interventions that seek to reduce TB stigma and raise awareness about the benefits of early diagnosis and prompt treatment are needed. Policies that remove patients’ financial barriers in access to TB care, and integration of the informal care sector into TB control in urban and rural settings are central factors in TB control.

5 February 2016 in PLOS ONE
Verified
Journal Article
Open access
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HZHaiYang Zhang
HaiYang Zhang
JEJohn Ehiri
John Ehiri
HYHuan Yang
Huan Yang
STShenglan Tang
Shenglan Tang
YLYing Li
Ying Li
Poor adherence to tuberculosis (TB) treatment can lead to prolonged infectivity and poor treatment outcomes. Directly observed treatment (DOT) seeks to improve adherence to TB treatment by observing patients while they take their anti-TB medication. Although community-based DOT (CB-DOT) programs have been widely studied and promoted, their effectiveness has been inconsistent. The aim of this study was to critical appraise and summarize evidence of the effects of CB-DOT on TB treatment outcomes. Studies published up to the end of February 2015 were identified from three major international literature databases: Medline/PubMed, EBSCO, and EMBASE. Unpublished data from the grey literature were identified through Google and Google Scholar searches. Seventeen studies involving 12,839 pulmonary TB patients (PTB) in eight randomized controlled trials (RCTs) and nine cohort studies from 12 countries met the criteria for inclusion in this review and 14 studies were included in meta-analysis. Compared with clinic-based DOT, pooled results of RCTs for all PTB cases (including smear-negative or -positive, new or retreated TB cases) and smear-positive PTB cases indicated that CB-DOT promoted successful treatment [pooled RRs (95%CIs): 1.11 (1.02–1.19) for all PTB cases and 1.11 (1.02–1.19) for smear-positive PTB cases], and completed treatment [pooled RRs (95%CIs): 1.74(1.05, 2.90) for all PTB cases and 2.22(1.16, 4.23) for smear-positive PTB cases], reduced death [pooled RRs (95%CIs): 0.44 (0.26–0.72) for all PTB cases and 0.39 (0.23–0.66) for smear-positive PTB cases], and transfer out [pooled RRs (95%CIs): 0.37 (0.23–0.61) for all PTB cases and 0.42 (0.25–0.70) for smear-positive PTB cases]. Pooled results of all studies (RCTs and cohort studies) with all PTB cases demonstrated that CB-DOT promoted successful treatment [pooled RR (95%CI): 1.13 (1.03–1.24)] and curative treatment [pooled RR (95%CI): 1.24 (1.04–1.48)] compared with self-administered treatment. CB-DOT did improved TB treatment outcomes according to the pooled results of included studies in this review. Studies on strategies for implementation of patient-centered and community-centered CB-DOT deserve further attention.

16 August 2018 in Infectious Diseases of Poverty
Verified
Journal Article
Open access
PDF file
YLYing Li
Ying Li
HWHuan Wang
Huan Wang
XJXu-Rui Jin
Xu-Rui Jin
XLXiang Li
Xiang Li
MPMichelle Pender
Michelle Pender
YWYun-Gui Wang
Yun-Gui Wang
Health care workers are at the frontline in the fight against infectious disease, and as a result are at a high risk of infection. During the 2014–2015 Ebola outbreak in West Africa, many health care workers contracted Ebola, some fatally. However, no members of the Chinese Anti-Ebola medical team, deployed to provide vital medical care in Liberia were infected. This study aims to understand how this zero infection rate was achieved. Data was collected through 15 in-depth interviews with participants from the People’s Liberation Army of China medical team which operated the Chinese Ebola Treatment Center from October 2014 to January 2015 in Liberia. Data were analysed using systematic framework analysis. This study found numerous bio-psycho-socio-behavioural risk factors that directly or indirectly threatened the health of the medical team working in the Chinese Ebola Treatment Center. These factors included social and emotional stress caused by: (1) the disruption of family and social networks; (2) adapting to a different culture; (3) and anxiety over social and political unrest in Liberia. Exposure to Ebola from patients and local co-workers, and the incorrect use of personal protective equipment due to fatigue was another major risk factor. Other risk factors identified were: (1) shortage of supplies; (2) lack of trained health personnel; (3) exposure to contaminated food and water; (4) and long working hours. Comprehensive efforts were taken throughout the mission to mitigate these factors. Every measure was taken to prevent the medical team’s exposure to the Ebola virus, and to provide the medical team with safe, comfortable working and living environments. There were many challenges in maintaining the health safety of the team, such as the limited capability of the emergency command system (the standardized approach to the command, control, and coordination of an emergency response), and the lack of comprehensive international protocols for dealing with emerging infectious disease pandemics. The comprehensive and multidisciplinary measures employed to protect the health of the medical team proved successful even in Liberia’s resource-limited setting. The global health community can learn valuable lessons from this experience which could improve the safety of health care workers in future emergencies. These lessons include: establishing capable command systems; implementing effective coordination mechanisms; providing adequate equipment; providing training for medical teams; investing in the development of global health professionals; and improving research on ways to protect health care workers.

16 May 2014 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
YLYing Li
Ying Li
JEJohn Ehiri
John Ehiri
DHDaiyu Hu
Daiyu Hu
YZYanqi Zhang
Yanqi Zhang
QWQingya Wang
Qingya Wang
JCJia Cao
Jia Cao
Health promotion for prevention and control of Tuberculosis (TB) is implemented worldwide because of its importance, but few reports have evaluated its impact on behavior due to a lack of standard outcome indicators. The objective of this study was to establish a framework of behavioral indicators for outcome evaluation of TB health promotion among TB suspects and patients.

1 March 2021 in Infection and Drug Resistance
Verified
Journal Article
Open access
PDF file
WXWei Xing
Wei Xing
RZRui Zhang
Rui Zhang
WJWeixi Jiang
Weixi Jiang
TZTing Zhang
Ting Zhang
MPMichelle Pender
Michelle Pender
YLYing Li
Ying Li
Aim: This paper evaluated the treatment adherence for multidrug-resistant tuberculosis (MDR-TB) and MDR-TB case management (MTCM) in Chongqing, China in order to identify factors associated with poor treatment adherence and case management. Methods: Surveys with 132 MDR-TB patients and six in-depth interviews with health care workers (HCWs) from primary health centers (PHC), doctors from MDR-TB designated hospitals and MDR-TB patients were conducted. Surveys collected demographic and socio-economic characteristics, as well as factors associated with treatment and case management. In-depth interviews gathered information on treatment and case management experience and adherence behaviors. Results: Patient surveys found the two main reasons for poor adherence were negative side-effects from the treatment and busy work schedules. In-depth interviews with key stakeholders found that self-perceived symptom improvement, negative side-effects from treatment and financial difficulties were the main reasons for poor adherence. MDR-TB patients from urban areas, who were unmarried, were female, had migrant status, and whose treatments were supervised by health care workers from primary health clinics, had poorer treatment adherence (P< 0.05). Among the MDR-TB patients surveyed, 86.7% received any type of MTCM in general (received any kind of MTCM from HCWs in PHC, MDR-TB designated hospital and centers of disease control/TB dispensaries and 62.50% received MTCM from HCWs in PHC sectors). Patients from suburban areas were more likely to receive both MTCM in general (OR=6.70) and MTCM from HCWs in MDR-TB designated hospitals (OR=2.77), but female patients (OR=0.26) were less likely to receive MTCM from HCWs in PHC sectors, and patients who were not educated about MTCM by TB doctors in designated hospitals were less likely to receive MTCM in general (OR=0.14). Patients who had not been hospitalized were less likely to receive MTCM from HCWs in MDR-TB designated hospitals (OR=0.21). Conclusion: Stronger MTCM by HCWs in PHC sectors would improve treatment adherence among MDR-TB patients. Community-based patient-centered models of MTCM in PHC sectors and the use of digital health technology could help to improve case management and thereby improve adherence.

5 February 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YLYing Li
Ying Li
JEJohn Ehiri
John Ehiri
EOEyal Oren
Eyal Oren
DHDaiyu Hu
Daiyu Hu
XLXingneng Luo
Xingneng Luo
QWQingya Wang
Qingya Wang
Multi-drug resistant tuberculosis (MDR-TB) represents a threat to health and development in countries with high TB burden. China’s MDR-TB prevalence rate of 6.8% is the highest in the world. Interventions to remove barriers against effective TB control, and prevention of MDR-TB are urgently needed in the country. This paper reports a cross-sectional questionnaire survey of 513 pulmonary TB (PTB) patients, and qualitative interviews of 10 healthcare workers (HCWs), and 15 PTB patients. The objective was to assess barriers against effective control of PTB and prevention of MDR-TB by elucidating the perspectives of patients and healthcare providers. Results showed that more than half of the patients experienced patient delay of over 12.5 days. A similar proportion also experienced detection delay of over 30 days, and delay in initiating treatment of over 31 days. Consulting a non-TB health facility ≥3 times before seeking care at TB dispensary was a risk factor for both detection delay [AOR (95% CI): 1.89(1.07, 3.34) and delay in initiating treatment[AOR (95% CI): 1.88 (1.06, 3.36). Results revealed poor implementation of Directly Observed Therapy (DOT), whereby treatment of 34.3% patients was never monitored by HCWs. Only 31.8% patients had ever accessed TB health education before their TB diagnosis. Qualitative data consistently disclosed long patient delay, and indicated that patient’s poor TB knowledge and socioeconomic barriers were primary reasons for patient delay. Seeking care and being treated at a non-TB hospital was an important reason for detection delay. Patient’s long work hours and low income increased risk for treatment non-adherence. Evidence-based measures to improve TB health seeking behavior, reduce patient and detection delays, improve the quality of DOT, address financial and system barriers, and increase access to TB health promotion are urgently needed to address the burgeoning prevalence of MDR-TB in China.