Publications by authors named "Creswell J"

Background: Children aged 0-14 years old make up 4% of the total number of people diagnosed with TB in Bangladesh. Local pediatric treatment outcomes and associated factors are poorly understood; further understanding can inform tailored interventions to close delivery gaps.

Methods: To assess the risk factors for unsuccessful treatment outcomes among children receiving TB treatment in 119 health facilities in Mymensingh Division, we conducted systematic verbal screening from 2018 to 2021.

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Background: Decentralization of Drug-Resistant Tuberculosis (DR-TB) services using multilevel interventions was piloted in Akwa-Ibom and Oyo States of Nigeria, which had high rates of pre-treatment loss-to-follow-up in 2021. The varying outcomes of the intervention strategies necessitated understanding what worked well and why. This study aimed to identify enablers and barriers shaping the implementation of decentralized DR-TB services in these states and provide actionable strategies for programmatic scale-up.

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Background: Private providers (PPs), rather than public facilities, are often the first point of contact in the health system for people with tuberculosis (TB). However, PP's potential for enhancing TB detection remains underutilized.

Methods: TB REACH is an initiative of Stop TB Partnership focused on improving TB detection and notification.

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Globally, the gap between the number of children who develop TB and those who are detected and treated is narrowing, but it remains much wider than among adults. Several new diagnostic tests and approaches have been implemented recently, and more are anticipated in the development pipeline. We examine current tools and prospects for diagnostic testing and propose a framework to guide national TB programs and partners in addressing the TB treatment coverage gap among children while highlighting promising research and programmatic interventions.

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Background: The generation of metainferences is a core and significant feature of mixed methods research. In recent years, there has been some discussion in the literature about criteria for appraising the quality of metainferences, the processes for generating them, and the critical role that assessing the "fit" of quantitative and qualitative data and results plays in this generative process. However, little is known about the types of insights that emerge from generating metainferences.

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Background: Programmatic interventions to increase the detection of children with tuberculosis (TB) are rarely evaluated to understand age- and sex-specific completion rates. We applied modified TB screening and treatment cascade frameworks to assess indicators of effective implementation by age and sex of a TB screening program for children (zero to 14 years) in Bangladesh.

Methods: We implemented an intensified screening program for paediatric TB detection in 119 health care facilities (2018-21).

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Introduction: In Pakistan, almost one-third of people who develop tuberculosis (TB) are missed by the National TB Program (NTP). A considerable number of people with TB receive treatment in the private sector but remain unnotified. This study documents the outcomes of an intervention to identify people with TB through private pharmacy engagement, building on mapping TB medicine sales in Punjab Province.

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The process of mixed methods data analysis has long been understudied and needs clear guidance for researchers. This review article honors Michael D. Fetters' pioneering work on mixed methods data analysis, building on his concepts of integration, joint displays, and metainferences.

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Current strategies to promptly, effectively, and equitably screen people with tuberculosis (TB) and link them to diagnosis and care are insufficient; new approaches are required to find the millions of people around the world with TB who are missed each year. Interventions also need to be designed considering how people interact with health care facilities and where appropriate should be suitable for use in the community. Here, the historical, new, and reemerging technologies that are being utilised for TB diagnosis globally are discussed, whilst highlighting that how we use and evaluate tests is just as important as the tests themselves.

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Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's deadliest diseases. Most deaths are among persons with TB who are not reached with diagnosis and treatment. Thus, timely screening and accurate detection of TB, particularly using sensitive tools such as chest radiography, is crucial for reducing the global burden of this disease.

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The tendency to maintain a positive outlook during adversity associates with better health. Interventions that help people cope with stress by maintaining a positive perspective have potential to improve health. Mindfulness interventions show promise for enhancing positive affect in daily life, and developing acceptance toward momentary experiences may help people notice more positive experiences under stress.

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Meditation is a family of ancient and contemporary contemplative mind-body practices that can modulate psychological processes, awareness, and mental states. Over the last 40 years, clinical science has manualized meditation practices and designed various meditation interventions that have shown therapeutic efficacy for disorders including depression, pain, addiction, and anxiety. Over the past decade, neuroimaging has been used to examine the neuroscientific basis of meditation practices, effects, states, and outcomes for clinical and nonclinical populations.

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Systematic screening for TB in children, especially among those at high risk of TB, can promote early diagnosis and treatment of TB. The World Health Organization (WHO) recently recommended C-Reactive Protein as a TB screening tool in adults and adolescents living with HIV (PLHIV). Thus, we aimed to assess the performance of point-of-care (POC) CRP as a screening tool for TB in children.

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Background: Nomadic populations are frequently isolated and vulnerable to diseases including tuberculosis (TB) and human immunodeficiency virus (HIV) due to limited access to health-related information and services, poverty, and social exclusion. We designed and implemented community-driven and -based outreach for TB and HIV based on the results of a TB knowledge, attitude, and practices (KAP) survey in Adamawa, Nigeria.

Methods: We conducted a cross-sectional study on KAP among nomads using an adapted WHO survey.

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Background: Despite the central role of mixed methods in health research, studies evaluating online methods training in the health sciences are nonexistent. The focused goal was to evaluate online training by comparing the self-rated skills of scholars who experienced an in-person retreat to scholars in an online retreat in specific domains of mixed methods research for the health sciences from 2015-2023.

Methods: The authors administered a scholar Mixed Methods Skills Self-Assessment instrument based on an educational competency scale that included domains on: "research questions," "design/approach," "sampling," "analysis," and "dissemination" to participants of the Mixed Methods Research Training Program for the Health Sciences (MMRTP).

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Article Synopsis
  • The study focuses on evaluating two new diagnostic tests for tuberculosis (TB) infection, Cy-Tb and Standard F TB, which aim to improve accuracy and reduce costs in low-resource settings.
  • It involves a cross-sectional trial with participants divided into three groups: those with confirmed TB, household contacts, and people without TB, comparing these tests with a standard reference test, QFT-Plus.
  • Ethical approval has been obtained, and the research findings will be shared with the scientific community and policymakers through publications.
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Background: In 2022, fewer than half of persons with tuberculosis (TB) had access to molecular diagnostic tests for TB due to their high costs. Studies have found that the use of artificial intelligence (AI) software for chest X-ray (CXR) interpretation and sputum specimen pooling can each reduce the cost of testing. We modeled the combination of both strategies to estimate potential savings in consumables that could be used to expand access to molecular diagnostics.

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Article Synopsis
  • The study aimed to examine the prevalence of non-communicable diseases, particularly diabetes, among household contacts of individuals with tuberculosis (TB).
  • A systematic review identified 39 studies, with 14 providing individual participant data and 25 offering aggregated data; the results showed a pooled diabetes prevalence of 8.8% among those tested properly.
  • Findings indicate that diabetes prevalence among household contacts is likely underestimated, highlighting the importance of targeted interventions during TB contact investigations to identify and address these health issues.
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Background: Computer-aided detection (CAD) can help identify people with active tuberculosis left undetected. However, few studies have compared the performance of commercially available CAD products for screening in high tuberculosis and high HIV settings, and there is poor understanding of threshold selection across products in different populations. We aimed to compare CAD products' performance, with further analyses on subgroup performance and threshold selection.

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Background: Existing models to increase TB case notifications from the private sector in Pakistan are financially unsustainable and have achieved modest success due to limited coverage.

Objective: To evaluate the impact of a social enterprise model (SEM) intervention on TB case detection in Karachi, Pakistan, and to assess its financial sustainability.

Methods: Purpose-built centres were established within the private sector that integrated TB screening, diagnostics and treatment and operated 12 hours per day with convenient locations to improve access.

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Article Synopsis
  • Biobehavioral rhythms are critical processes influencing health and have been linked to various issues like sleep disorders and depression.
  • The study analyzed mobile data from 188 college students over 16 weeks to explore the relationship between these rhythms and self-reported productivity scores.
  • Results showed that students with more stable biobehavioral rhythms tended to have higher productivity, suggesting that understanding these rhythms could enhance health and performance in future cyber-human systems.
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This study sought to examine how daily mind wandering is related to loneliness, felt connection to others, and school belonging among college students. Three samples ( = 209,  = 173, and  = 266) from two US campuses were recruited. Data were collected ecological momentary assessment over the course of two academic quarters in one sample and an academic semester in two samples.

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Background: In Viet Nam, tuberculosis (TB) represents a devastating life-event with an exorbitant price tag, partly due to lost income from daily directly observed therapy in public sector care. Thus, persons with TB may seek care in the private sector for its flexibility, convenience, and privacy. Our study aimed to measure income changes, costs and catastrophic cost incurrence among TB-affected households in the public and private sector.

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