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National cross-sectional cluster survey of tuberculosis prevalence in Timor-Leste: a study protocol

Por: Lopes · C. · Joao · J. C. · Lowbridge · C. · Martins · N. · dos Santos · R. I. G. · da Silva · E. · Dias · J. · Ramalingam · S. · Amaral · S. · Oakley · T. · Ico · L. d. C. · Sarmento · N. · Yan · J. · Francis · J. R.
Introduction

Timor-Leste has one of the world’s highest estimated tuberculosis (TB) incidences, yet the data which informs this estimate is limited and the true burden of TB disease is not known. TB prevalence surveys offer the best means of determining robust estimates of disease burden. This study aims to provide an estimate of the prevalence of bacteriologically confirmed pulmonary TB in Timor-Leste and provide additional insights into diagnostic coverage and health-seeking behaviour of persons with symptoms suggestive of TB.

Methods and analysis

A national population-based cross-sectional cluster survey will be conducted in which participants aged 15 years and older will be screened for pulmonary TB using an algorithm consisting of symptom screening and digital X-ray of the chest with computer-aided detection software for X-ray interpretation. Xpert Ultra and liquid culture methods will be used to confirm survey TB cases. Additional data will be collected from persons reporting symptoms suggestive of TB to assess health-seeking behaviour and access to TB diagnosis and care. The survey aims to screen a target sample population of 20 068 people, living within 50 clusters, representing every municipality of Timor-Leste. Bacteriologically confirmed pulmonary TB prevalence will be estimated using WHO-recommended methods.

Ethics and dissemination

Research ethics approval has been granted by the human research ethics committee of the Northern Territory, Australia, and the Instituto Nacional da Saúde, Timor-Leste. The results will be published in a peer-reviewed scientific journal and disseminated with relevant stakeholders.

Trial registration number

ACTRN12623000718640.

Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022

by Manuel Ribeiro, Leonardo Azevedo, André Peralta Santos, Pedro Pinto Leite, Maria João Pereira

During the SARS-CoV-2 pandemic, governments and public health authorities collected massive amounts of data on daily confirmed positive cases and incidence rates. These data sets provide relevant information to develop a scientific understanding of the pandemic’s spatiotemporal dynamics. At the same time, there is a lack of comprehensive approaches to describe and classify patterns underlying the dynamics of COVID-19 incidence across regions over time. This seriously constrains the potential benefits for public health authorities to understand spatiotemporal patterns of disease incidence that would allow for better risk communication strategies and improved assessment of mitigation policies efficacy. Within this context, we propose an exploratory statistical tool that combines functional data analysis with unsupervised learning algorithms to extract meaningful information about the main spatiotemporal patterns underlying COVID-19 incidence on mainland Portugal. We focus on the timeframe spanning from August 2020 to March 2022, considering data at the municipality level. First, we describe the temporal evolution of confirmed daily COVID-19 cases by municipality as a function of time, and outline the main temporal patterns of variability using a functional principal component analysis. Then, municipalities are classified according to their spatiotemporal similarities through hierarchical clustering adapted to spatially correlated functional data. Our findings reveal disparities in disease dynamics between northern and coastal municipalities versus those in the southern and hinterland. We also distinguish effects occurring during the 2020–2021 period from those in the 2021–2022 autumn-winter seasons. The results provide proof-of-concept that the proposed approach can be used to detect the main spatiotemporal patterns of disease incidence. The novel approach expands and enhances existing exploratory tools for spatiotemporal analysis of public health data.

Integrating factors associated with complex wound healing into a mobile application: Findings from a cohort study

Abstract

Complex, chronic or hard-to-heal wounds are a prevalent health problem worldwide, with significant physical, psychological and social consequences. This study aims to identify factors associated with the healing process of these wounds and develop a mobile application for wound care that incorporates these factors. A prospective multicentre cohort study was conducted in nine health units in Portugal, involving data collection through a mobile application by nurses from April to October 2022. The study followed 46 patients with 57 wounds for up to 5 weeks, conducting six evaluations. Healing time was the main outcome measure, analysed using the Mann–Whitney test and three Cox regression models to calculate risk ratios. The study sample comprised various wound types, with pressure ulcers being the most common (61.4%), followed by venous leg ulcers (17.5%) and diabetic foot ulcers (8.8%). Factors that were found to impair the wound healing process included chronic kidney disease (U = 13.50; p = 0.046), obesity (U = 18.0; p = 0.021), non-adherence to treatment (U = 1.0; p = 0.029) and interference of the wound with daily routines (U = 11.0; p = 0.028). Risk factors for delayed healing over time were identified as bone involvement (RR 3.91; p < 0.001), presence of odour (RR 3.36; p = 0.007), presence of neuropathy (RR 2.49; p = 0.002), use of anti-inflammatory drugs (RR 2.45; p = 0.011), stalled wound (RR 2.26; p = 0.022), greater width (RR 2.03; p = 0.002), greater depth (RR 1.72; p = 0.036) and a high score on the healing scale (RR 1.21; p = 0.001). Integrating the identified risk factors for delayed healing into the assessment of patients and incorporating them into a mobile application can enhance decision-making in wound care.

El proceso de transición y capacitación de la persona trasplantada al corazón y familia: ensayo teórico

La persona trasplantada de corazón y la familia experimentan diferentes tipos de transición, y un acompañante facilitador de su formación para una transición saludable es fundamental.
La Enfermería de Rehabilitación (ER), debido a sus habilidades, puede ayudar a las personas a recuperar la estabilidad y el bienestar, sin embargo, existe poca difusión de su fundamento en las
teorías de enfermería. Objetivo: Analizar el aporte de la Teoría de las Transiciones en la práctica de
la enfermería rehabilitadora orientada al empoderamiento de la persona trasplantada al corazón y
a la familia. Metodología: Estudio crítico-reflexivo guiado por la Teoría de las Transiciones de Afaf
Meleis y por la legislación reguladora para la práctica del enfermero rehabilitador. Resultado: Se
percibe que la teoría de las Transiciones sustenta la intervención de Enfermería de Rehabilitación
en las áreas de conocimiento y aprendizaje de habilidades de la persona trasplantada cardíaca y su
familia, conduciendo a su empoderamiento, toma de decisiones y acción, haciendo que la persona
se sienta empoderada para superar los retos diarios derivados de su proceso de transición. Conclusión: Es fundamental demostrar la conceptualización en la práctica de enfermería, siendo la transición un foco significativo para la Enfermería de Rehabilitación.

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