Efforts to reduce the disparity between permanent residents and temporary migrants: Stop TB experiences in Shanghai, China

Patient delay, diagnosis delay, and treatment outcomes among migrant patients with tuberculosis in Shanghai, China, 2018-2020: a mixed-methods study

OBJECTIVES

This study aimed to examine patient delay, diagnosis delay and treatment performance among patients with tuberculosis (TB) in Shanghai, China in 2018-2020 focusing on disparities between migrant and local patients with TB.

DESIGN

Mixed-method study.

SETTING AND PARTICIPANTS

Quantitative data were collected from the TB information management system in Shanghai; 17 533 bacteriologically confirmed and clinically diagnosed patients with pulmonary TB registered in 2018-2020 were included. Qualitative interviews were conducted with TB administrators (n=3) and community healthcare providers (two groups, n=10 in total) from Shanghai.

MAIN OUTCOME MEASURES

Patient delay, diagnosis delay and treatment completion were examined by resident type using descriptive analysis and logistic regressions. Qualitative interviews were conducted to understand factors associated with the disparities.

RESULTS

From 2018 to 2020, migrant patients with TB accounted for 44.40% of total cases. There was no significant difference in patient delay between migrant and local patients (18.47 days on average). 22.12% of migrants and 16.52% of locals experienced diagnosis delays exceeding 14 days, respectively. After adjusting for all variables, migrant patients (OR 1.30, 95% CI 1.18 to 1.44) and initial care seeking at general hospitals (OR 3.76, 95% CI 3.45 to 4.09) were associated with a higher probability of diagnosis delay. 93.9% of migrant patients and 89.4% of the local patients had a successful TB treatment without statistically significant difference after adjusting for all variables. Qualitative interviews revealed a standard approach to managing patients with TB in Shanghai no matter their resident type. Young migrant patients who were able to maintain their jobs in Shanghai often had better treatment adherence. Despite patients' COVID-19 fear and limited care access in 2020, TB treatment minimally affected for both due to community-based case management.

CONCLUSIONS

Migrant patients were more likely to experience diagnosis delay. It should improve awareness and knowledge of TB among healthcare professionals at general hospitals to mitigate the risk of diagnosis delay.

Addressing tuberculosis through complex community-based socioeconomic interventions in low- and middle-income countries: A systematic realist review

The established relationship between poverty and tuberculosis has led to the implementation of complex socioeconomic interventions to address poverty as both a risk factor for and consequence of tuberculosis. However, limited research to date has examined the conditions that facilitate the successful implementation of these interventions. We conducted a systematic realist review to examine how complex socioeconomic interventions for tuberculosis treatment and care were defined, implemented, and evaluated in low- and middle-income countries. We used a systematic search to identify published work that implemented complex socioeconomic interventions for tuberculosis, followed by a realist analysis informed by existing programme theories. From a total of 2825 collected records, 36 peer-reviewed articles and 17 grey literature reports were included in this review. The realist analysis identified three main contexts (sociopolitical and cultural; relational and interpersonal; operational and administrative) and ten mechanisms that facilitated successful implementation of interventions. Overall, this review highlights the importance of political commitment in shaping sustainable programme delivery, the role of healthcare and community-based provider training in creating patient-centred treatment environments, and the opportunity to leverage operational research for evidence-based decision making to address the socioeconomic needs of tuberculosis patients experiencing poverty.

Tuberculosis among economic migrants: a cross-sectional study of the risk of poor treatment outcomes and impact of a treatment adherence intervention among temporary residents in an urban district in Ho Chi Minh City, Viet Nam

BACKGROUND

Tuberculosis (TB) remains a major cause of avoidable deaths. Economic migrants represent a vulnerable population due to their exposure to medical and social risk factors. These factors expose them to higher risks for TB incidence and poor treatment outcomes.

METHODS

This cross-sectional study evaluated WHO-defined TB treatment outcomes among economic migrants in an urban district of Ho Chi Minh City, Viet Nam. We measured the association of a patient's government-defined residency status with treatment success and loss to follow-up categories at baseline and performed a comparative interrupted time series (ITS) analysis to assess the impact of community-based adherence support on treatment outcomes. Key measures of interest of the ITS were the differences in step change (β₆) and post-intervention trend (β₇).

RESULTS

Short-term, inter-province migrants experienced lower treatment success (aRR = 0.95 [95% CI: 0.92-0.99], p = 0.010) and higher loss to follow-up (aOR = 1.98 [95% CI: 1.44-2.72], p < 0.001) than permanent residents. Intra-province migrants were similarly more likely to be lost to follow-up (aOR = 1.86 [95% CI: 1.03-3.36], p = 0.041). There was evidence that patients > 55 years of age (aRR = 0.93 [95% CI: 0.89-0.96], p < 0.001), relapse patients (aRR = 0.89 [95% CI: 0.84-0.94], p < 0.001), and retreatment patients (aRR = 0.62 [95% CI: 0.52-0.75], p < 0.001) had lower treatment success rates. TB/HIV co-infection was also associated with lower treatment success (aRR = 0.77 [95% CI: 0.73-0.82], p < 0.001) and higher loss to follow-up (aOR = 2.18 [95% CI: 1.55-3.06], p < 0.001). The provision of treatment adherence support increased treatment success (IRR(β₆) = 1.07 [95% CI: 1.00, 1.15], p = 0.041) and reduced loss to follow-up (IRR(β₆) = 0.17 [95% CI: 0.04, 0.69], p = 0.013) in the intervention districts. Loss to follow-up continued to decline throughout the post-implementation period (IRR(β₇) = 0.90 [95% CI: 0.83, 0.98], p = 0.019).

CONCLUSIONS

Economic migrants, particularly those crossing provincial borders, have higher risk of poor treatment outcomes and should be prioritized for tailored adherence support. In light of accelerating urbanization in many regions of Asia, implementation trials are needed to inform evidence-based design of strategies for this vulnerable population.

Changes in the epidemic of pulmonary tuberculosis in Shanghai from 1992 to 2016

OBJECTIVE

To estimate whether WHO's End TB Strategy targets can be achieved by analysing the incidence trend of pulmonary tuberculosis in Shanghai during 1992-2016.

METHOD

The age-adjusted annual incidence of tuberculosis (TB) was calculated based on data from the national TB registration system. Linear regression was applied to analyse the trend of the epidemic, together with the statistical indicator of annual percent change (APC).

RESULTS

The overall age-standardised rate decreased from 34.8/100 000 in 1992 to 21.2/100 000 in 2016, or by 2.15% (t = -13.258, P < 0.05) annually. After rapidly declining between 1999 and 2003 (-5.4% p.a.), the epidemic remained at a stable level with a lower annual declining rate (-1.1% p.a). In 2035, the estimated incidence will be 17.2/100 000 based on the APC in 2004-2016. There were two peaks in average incidence of the total population, 30.9/100 000 in the 20-24 age group and 66.4/100 000 in the 70-74 age group. Overall, the ratio of new to retreated cases continually rose and eventually reached 8.36:1 in 2016. The constituent ratio of smear-positive cases ranged from 35.9% to 47.8% without rising or decreasing trend (P = 0.065).

CONCLUSION

The epidemic of TB in Shanghai has steadily declined during last two decades. A new strategy should be developed to rapidly reduce the incidence rate to achieve the WHO Goals in 2035.

Cash interventions to improve clinical outcomes for pulmonary tuberculosis: systematic review and meta-analysis

OBJECTIVE

To assess cash transfer interventions for improving treatment outcomes of active pulmonary tuberculosis in low- and middle-income countries.

METHODS

We searched PubMed®, Embase®, Cochrane Library and ClinicalTrials.gov for studies published until 4 August 2017 that reported on cash transfer interventions during the treatment of active pulmonary tuberculosis in low- and middle-income countries. Our primary outcome was a positive clinical outcome, defined as treatment success, treatment completion or microbiologic cure. Using the purchasing power parity conversion factor, we converted the amount of cash received per patient within each study into international dollars (Int$). We calculated odds ratio (OR) for the primary outcome using a random effects meta-analysis.

FINDINGS

Eight studies met eligibility criteria for review inclusion. Seven studies assessed a tuberculosis-specific intervention, with average amount of cash ranging from Int$ 193-858. One study assessed a tuberculosis-sensitive intervention, with average amount of Int$ 101. Four studies included non-cash co-interventions. All studies showed better primary outcome for the intervention group than the control group. After excluding three studies with high risk of bias, patients receiving tuberculosis-specific cash transfer were more likely to have a positive clinical outcome than patients in the control groups (OR: 1.77; 95% confidence interval: 1.57-2.01).

CONCLUSION

The evidence available suggests that patients in low- and middle-income countries receiving cash during treatment for active pulmonary tuberculosis are more likely to have a positive clinical outcome. These findings support the incorporation of cash transfer interventions into social protection schemes within tuberculosis treatment programmes.

A New Hybrid Model Using an Autoregressive Integrated Moving Average and a Generalized Regression Neural Network for the Incidence of Tuberculosis in Heng County, China

It is a daunting task to eradicate tuberculosis completely in Heng County due to a large transient population, human immunodeficiency virus/tuberculosis coinfection, and latent infection. Thus, a high-precision forecasting model can be used for the prevention and control of tuberculosis. In this study, four models including a basic autoregressive integrated moving average (ARIMA) model, a traditional ARIMA-generalized regression neural network (GRNN) model, a basic GRNN model, and a new ARIMA-GRNN hybrid model were used to fit and predict the incidence of tuberculosis. Parameters including mean absolute error (MAE), mean absolute percentage error (MAPE), and mean square error (MSE) were used to evaluate and compare the performance of these models for fitting historical and prospective data. The new ARIMA-GRNN model had superior fit relative to both the traditional ARIMA-GRNN model and basic ARIMA model when applied to historical data and when used as a predictive model for forecasting incidence during the subsequent 6 months. Our results suggest that the new ARIMA-GRNN model may be more suitable for forecasting the tuberculosis incidence in Heng County than traditional models.

Notification Rate of Tuberculosis among Migrants in China 2005-2014: A Systematic Review and Meta-analysis

Background:

Migrations have been reported to be associated with the high risk of tuberculosis (TB), but there is no systematic analysis of the available data for TB among migrant in China. The aim of this study was to examine the notification rate of active and sputum smear-positive TB by a systematic review and meta-analysis.

Methods:

A systematic review and meta-analysis were performed to examine the notification rate of active and sputum smear-positive TB among migrants in China. Two reviewers searched the cross-sectional studies published in PubMed, EMBASE, SciFinder, and Web of Science in English and in CNKI and Wanfang databases in Chinese. Pooled estimates of notification rate of TB among migrants were calculated using a random effects model. Meta-regression analysis and subgroup analysis stratified by year, region were also performed.

Results:

Seventy eligible studies met the inclusion criteria for the final analysis. The overall notification rate of active TB and sputum smear-positive cases among migrants were 53.12 (95% confidence interval [CI]: 47.32–59.63) and 24.53 (95% CI: 22.01–27.34) per 100,000 populations, respectively. The notification rate of active TB significantly increased from 50.95 (95% CI: 41.11–63.14) per 100,000 populations in 2005 to 84.62 (95% CI: 78.00–91.80) per 100,000 populations in 2014 while that of smear-positive TB was constant during the study time (P = 0.79). The geographic difference was identified both for active and sputum smear-positive TB, with the higher notification rates mainly distributing along the eastern coastal areas.

Conclusions:

The pooled estimate of active TB and sputum smear-positive TB among migrants was lower than the national notification rate among general population, but the gap between our data and national notification rate among general population is narrowed down during 2005–2014.