Public Health Action最新文献

Setting: The Philippines is one of the countries with the highest TB burdens. While TB affects men and women differently, studies also show that gender affects people's experience of and access to healthcare. Men and women have usually assigned roles and responsibilities that affect their decisions and health-seeking behaviour.

Objective: The gender analysis aimed to examine the relationship between gender and access to TB services and treatment outcomes according to five domains: cultural norms and beliefs; patterns of power and decision-making; gender roles and responsibilities; access to resources; laws and policies.

Design: The team conducted 19 in-depth interviews and five focus group discussions with project staff, TB coordinators from healthcare facilities, representatives from the private and informal business sector and representatives from the Philippine Department of Health from August to November 2019.

Results: Study findings indicated that men faced greater limitations than women in terms of accessing TB resources and services, which highlight the differences between genders in relation to health-seeking behaviours and ability to access healthcare.

Conclusion: This demonstrates the importance of integrating a gender lens into the service provision set up, from screening to treating and monitoring, to ensure equitable health benefits for men, women, transgender and gender-diverse persons.

Setting: County referral hospital in Western Kenya.

Objectives: To explore factors contributing to pre-treatment loss to follow-up (PTLFU) in adults with pulmonary TB and propose solutions to address PTLFU from healthcare worker (HCW) perspectives.

Design: This was an exploratory qualitative study using thematic analysis.

Results: We conducted 19 key informant interviews with HCWs representing laboratory, clinical care, management and the community. Participant age ranged from 26 to 62 years; 14 (74%) were females; and most (74%) had worked in TB care for ⩽5 years. They reported that patients experienced stigma and had misconceptions about TB that contributed to PTLFU. HCWs were hesitant to work in the TB clinic, which contributed to suboptimal patient care, leading to PTLFU. Unclear linkage between laboratory and clinician, and limited financial resources to track patients were among the healthcare system factors that led to PTLFU. HCWs suggested having proper patient preparation, assigning resources to track patients and holding regular interdisciplinary meetings as practical solutions to address PTLFU.

Conclusion: HCWs reported multiple factors that may influence PTLFU and recommended various solutions to address these. Knowledge of TB management, patient preparation, resources to track patients and multidisciplinary meetings will be central to addressing PTLFU.

Background: Understanding the geographic distribution and factors associated with delayed TB diagnosis may help target interventions to reduce delays and improve patient outcomes.

Methods: We conducted a secondary analysis of adults undergoing TB evaluation within a public health demonstration project in Uganda. Using Global Moran's I (GMI) and Getis-Ord GI* statistics, we evaluated for residential clustering and hotspots associated with patient-related and health system-related delays. We performed multivariate logistic regression to identify individual predictors of both types of delays.

Results: Of 996 adults undergoing TB evaluation (median age: 37 years, IQR 28-49), 333 (33%) experienced patient delays, and 568 (57%) experienced health system delays. Participants were clustered (GMI 0.47-0.64, P ⩽ 0.001) at the sub-county level, but there were no statistically significant hotspots for patient or health system delays. Married individuals were less likely to experience patient delays (OR 0.6, 95% CI 0.48-0.75; P < 0.001). Those aged 38-57 years (OR 1.2, 95% CI 1.07-1.38; P = 0.002) were more likely than those aged ⩾58 years to experience patient delays. Knowledge about TB (OR 0.8, 95% CI 0.63-0.98; P = 0.03) protected against health system delays.

Conclusions: We did not identify geographic hotspots for TB diagnostic delays. Instead, delays were associated with individual factors such as age, marital status and TB knowledge.

Setting: KNCV Nigeria implements seven key TB case-finding interventions. It was critical to evaluate the efficiency of these interventions in terms of TB yield to direct future prioritisation in the country.

Objectives: To compare the efficiency of active case-finding (ACF) interventions for TB in Nigeria.

Design: Data from the 2020-2022 implementing period were analysed retrospectively. Intervention efficiencies were analysed using the number needed to screen (NNS), the number needed to test (NNT) and the true screen-positive (TSP) rate.

Results: Across the interventions, 21,704,669 persons were screened for TB, 1,834,447 (8.5%) were presumed to have TB (7.7% pre-diagnostic drop-out rate) and 122,452 were diagnosed with TB (TSP rate of 7.2%). The average TSP rate of interventions that used both the WHO four-symptom screen (W4SS) and portable digital X-ray (PDX) screening algorithm was significantly higher (22.6%) than those that employed the former alone (7.0%; OR 3.9, 95% CI 3.74-3.98; P < 0.001). The average NNT for interventions with W4SS/PDX screening was 4 (range: 4-5), while that of W4SS-only screening was 14 (range: 11-22).

Conclusions: Interventions using the PDX in addition to W4SS for TB screening were more efficient in terms of TB case yield than interventions that used symptom-based TB screening only.

Setting: TB infection (TBI) is diagnosed using the technique-dependent tuberculin skin test (TST) or costly, more accurate interferon-gamma release assays. The TST (⩾10 mm) threshold was indicated by previous research among household contacts in Vietnam, but routine implementation with a different tuberculin reagent showed unexpectedly low TST positivity.

Objective: TST (⩾5 mm and ⩾10 mm) results were compared to QuantiFERON™-TB Gold Plus (QFT) results in household contacts during community campaigns in 2020 and 2021.

Design: This was a cross-sectional multi-center implementation study.

Results: Among 1,330 household contacts in 2020, we found a TBI prevalence of 38.6% (QFT), similar to TST ⩾5 mm (37.4%) and higher than TST ⩾10 mm (13.1%). QFT+/TST+ was higher for TST ⩾5 mm (20.7%) than TST ⩾10 mm (9.4%). QFT was not discordant with TST ⩾5 mm (McNemar's test = 0.6, P = 0.5) but was discordant with TST ⩾10 mm (McNemar's test = 263.9, P < 0.01). Older age and Southern region increased odds for positive TST ⩾5 mm and QFT with weaker associations for TST ⩾10 mm. Agreement and discordance were similar in 2021 for 1,158 household contacts.

Conclusion: Tuberculin reagents affect TST positivity rates. High TB burden countries should monitor reliability of TBI diagnosis, including tuberculin potency, cold chain, and TST technique to optimize eligibility for TB preventive treatment.

Background: The global COVID-19 pandemic has reversed many of the hard-won gains made in TB programmes and the associated reduction in the number of TB deaths, case notifications and incidence over the last three decades. Modelling estimates show that the impact will be lasting. There are global calls to recover the shortfalls along the TB care cascade that have resulted from COVID-19, with the recognition that the COVID-19 response holds lessons to inform more robust and comprehensive TB programmes and services.

Objective: To explore lessons from response measures to the COVID-19 pandemic in two high TB burden South African provinces.

Design: This was an exploratory qualitative study. We conducted interviews with TB programme stakeholders (managers and facility-level staff: n = 35) between February and June 2022.

Results: We identified eight facilitators of the COVID-19 response, including political will, rapid policy development, multi-sectoral collaboration, patient-centred models of care delivery, community engagement, mHealth and telehealth technologies, rigorous contact tracing and widespread mask wearing. Political will was singled out as a critical driver of the response.

Conclusion: Leveraging COVID-19 inspired collaborations, technologies and avenues for health service delivery is an opportunity to maximise benefits for the TB programme. Reinvestment in national TB programmes and political prioritisation of TB are critical.

Treatment and prevention paradigms in TB have been dominated by a 'one-size-fits-all' approach, in which all persons are given the same treatment regimens. This stands in contrast to other health conditions, where differentiated models of care have been shown to be effective. In this Viewpoint, we make the case for considering multiple factors when deciding which regimens should be offered to people with TB infection and disease. Choice about which regimens to use should be made in conjunction with people who have TB and consider efficacy, safety, duration, pill burden, formulation, drug interactions, time spent in monitoring, drug susceptibility, compatibility with other areas of life, and availability of support services. Ideally, these choices should be considered within an equity framework with the most intensified services being offered to those considered most vulnerable.