Trends in mental health before and after the onset of the COVID-19 pandemic: a longitudinal survey of a conflict-affected population in Colombia.

Background: Focusing on the Meta region in Colombia, we investigated the relationship between mental health, the COVID-19 pandemic, and social determinants of health influenced by over five decades of civil conflict. We studied the post-2016 peace agreement trends in mental health for the population of Meta, before and after the local onset of the pandemic.

Method: We conducted three rounds of a longitudinal health survey in years 2018 with N = 1309 (Women = 709; Men = 600); 2019 with N = 1106 (Women = 597; Men = 509); and 2020 with N = 905 (Women = 499; Men = 406).

Impact of the armed conflict in Colombia: consequences in the health system, response and challenges.

Introduction: In Colombia, research on health and conflict has focused on mental health, psychosocial care, displacement, morbidity, and mortality. Few scientific studies have assessed health system functioning during armed conflicts. In a new period characterized by the implementation of the peace agreement with the Revolutionary Armed Forces of Colombia (FARC) armed group, understanding the effects of armed conflict on the health system, the functions, and institutions shaped by the conflict is an opportunity to understand the pathways and scope of post-conflict health policy reforms.

Analytical reference framework to analyze non-COVID-19 events.

Background: The COVID-19 pandemic has disrupted the healthcare system, leading to delays in detection of other non-COVID-19 diseases. This paper presents ANE Framework (Analytics for Non-COVID-19 Events), a reliable and user-friendly analytical forecasting framework designed to predict the number of patients with non-COVID-19 diseases. Prior to 2020, there were analytical models focused on specific illnesses and contexts.

Distributed curvature sensing using long period fiber grating and machine learning numerical analysis.

In this numerical study, we propose a fiber distributed curvature sensor based on the analysis of the spectral transmission of a long period fiber grating (LPG) with a neural network. A simulation of the optical transmissions of a proposed 6-cm LPG structure for different curvature profiles is first performed using EigenMode Expansion and a coupled-mode theory algorithm. Both fiber curvature profiles and their corresponding optical transmission spectra are then injected into a four dense layer neural network which, after training, leads to a 0.

Mental health disorders in population displaced by conflict in Colombia: Comparative analysis against the National Mental Health Survey 2015.

Background And Objectives: Colombia is one of the countries with the highest levels of internal displacement resulting from armed conflict. This population has greater chances of experiencing a mental health disorder, especially in territories historically affected by armed conflict. Our objective was to compare the levels of possible mental health disorder in people experiencing internal displacement in Meta, Colombia, a department historically affected by armed conflict, compared to the internally displaced population in the National Mental Health Survey of 2015.

Access to health services during the Colombian armed conflict: a challenge for the population with disabilities in the department of Meta.

Background: The Colombian armed conflict has left millions of victims and has restricted access to different services provided by the government, especially for people with disabilities. This article studies the barriers faced by the victim population with disabilities when they want to access the health system in the department of Meta, Colombia, and offers a perspective from the experiences of people with disabilities who have been victims of the armed conflict in the country.

Methods: To carry out this qualitative study, focus groups were conducted to capture the experiences and feelings of this population in the context of violence and high conflict.

Scaling the performances of integrated long period grating refractometers.

In this Letter, a theoretical analysis and design methodology of integrated long period gratings (LPGs) for refractometric applications are proposed. A detailed parametric analysis is applied to a LPG model based on two strip waveguides to highlight the main design variables and their effect on the refractometric performances, with focus on the spectral sensitivity and signature response. To illustrate the proposed methodology, four variants of the same LPG design are simulated with eigenmode expansion, displaying a wide range of sensitivities up to 300,000 nm/RIU with figures of merit (FOMs) as high as 8000.

Capacity and quality of maternal and child health services delivery at the subnational primary healthcare level in relation to intermediate health outputs: a cross-sectional study of 12 low-income and middle-income countries.

Objectives: To examine the capacity and quality of maternal and child health (MCH) services at the subnational primary healthcare (PHC) level in 12 low-income and middle-income countries (LMICs) and its association with intermediate health outputs such as coverage and access to care.

Design: Observational cross-sectional study using matched subnational data from service provision assessment surveys and demographic health surveys from 2007 to 2019.

Settings: 138 subnational areas with available survey data in 12 LMICs (Afghanistan, Bangladesh, Democratic Republic of Congo, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Tanzania and Uganda).

Fringe Detection and Displacement Sensing for Variable Optical Feedback-Based Self-Mixing Interferometry by Using Deep Neural Networks.

Laser feedback-based self-mixing interferometry (SMI) is a promising technique for displacement sensing. However, commercial deployment of such sensors is being held back due to reduced performance in case of variable optical feedback which invariably happens due to optical speckle encountered when sensing the motion of non-cooperative remote target surfaces. In this work, deep neural networks have been trained under variable optical feedback conditions so that interferometric fringe detection and corresponding displacement measurement can be achieved.

Interprofessional Interventions to Improve Serious Illness Communication in the Intensive Care Unit: A Scoping Review.

Serious illness communication is fundamental to the provision of quality care for patients in the intensive care unit (ICU). Evidence suggests that including interprofessional team members in such communication is beneficial. This scoping review--conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines-maps existing evidence regarding interprofessional interventions to improve serious illness communication in the ICU.

Concordance between two intrapersonal psychological resilience scales: how should we be measuring resilience?

Background: While resilience has generated a lot of interest in mental health, operationalizing the construct of resilience remains an important challenge. This study aims to evaluate the concordance of two resilience scales that evaluate intrapersonal aspects of resilience in adolescents.

Methods: Cross-sectional evaluation of internal consistency, concordance, and correlation of the Individual Protective Factors Index Questionnaire (IPFI) and the Adolescent Resilience Scale (ARS) in sixth grade students of three low-income public schools in Colombia.

Addressing recall bias in (post-)conflict data collection and analysis: lessons from a large-scale health survey in Colombia.

Background: Much applied research on the consequences of conflicts for health suffers from data limitations, particularly the absence of longitudinal data spanning pre-, during- and post-conflict periods for affected individuals. Such limitations often hinder reliable measurement of the causal effects of conflict and their pathways, hampering also the design of effective post-conflict health policies. Researchers have sought to overcome these data limitations by conducting ex-post surveys, asking participants to recall their health and living standards before (or during) conflict.

Health in Conflict Zones: Analyzing Inequalities in Mental Health in Colombian Conflict-Affected Territories.

Colombia's civil conflict and persistent socio-economic disparities have contributed to mental health inequalities in conflict-affected territories. We explore the magnitude of mental health inequalities, contributing socio-economic factors, and sociodemographic characteristics that explain these differences. The study draws on data collected in 2018, using the household survey (CONPAS) applied to 1,309 households in Meta, Colombia.

Adherence to treatment in Parkinson's disease: A multicenter exploratory study with patients from six Latin American countries.

Background: Adherence to treatment in Parkinson's disease (PD) is compromised due to the need for multiple therapies, comorbidities related to aging, and the complexity of therapeutic schemes. In the present study, we aimed to explore adherence to treatment in groups of PD patients from six Latin-American (LA) countries and identify its associated demographic and clinical parameters.

Methods: A multicenter, cross-sectional, exploratory study was conducted from September 2016 to March 2017.

Inequalities in catastrophic health expenditures in conflict-affected areas and the Colombian peace agreement: an oaxaca-blinder change decomposition analysis.

Background: The present study analyzes inequalities in catastrophic health expenditures in conflict-affected regions of Meta, Colombia and socioeconomic factors contributing to the existence and changes in catastrophic expenditures before and after the sign of Colombian Peace Agreement with FARC-EP guerilla group in 2016.

Methods: The study uses the results of the survey Conflicto, Paz y Salud (CONPAS) conducted in 1309 households of Meta, Colombia, a territory historically impacted by armed conflict, for the years 2014 and 2018. We define catastrophic expenditures as health expenditures above 20% of the capacity to pay of a household.

Mental Health Disorders in Population Displaced by Conflict in Colombia: Comparative Analysis against the National Mental Health Survey 2015.

Background And Objectives: Colombia is one of the countries with the highest levels of internal displacement resulting from armed conflict. This population has greater chances of experiencing a mental health disorder, especially in territories historically affected by armed conflict. Our objective was to compare the levels of possible mental health disorder in people experiencing internal displacement in Meta, Colombia, a department historically affected by armed conflict, compared to the internally displaced population in the National Mental Health Survey of 2015.

Toward an Estimation of the Optical Feedback Factor on the Fly for Displacement Sensing.

In this paper, a method based on the inherent event-based sampling capability of laser optical feedback interferometry (OFI) is proposed to assess the optical feedback factor when the laser operates in the moderate and strong feedback regimes. Most of the phase unwrapping open-loop OFI algorithms rely on the estimation of to retrieve the displacement with nanometric precision. Here, the proposed method operates in open-loop configuration and relies only on OFI's fringe detection, thereby improving its robustness and ease of use.

A light of hope? Inequalities in mental health before and after the peace agreement in Colombia: a decomposition analysis.

Background: The present study seeks to evaluate the change in mental health inequalities in the department of Meta after the signing of Colombia's Peace Agreement in 2016 with the FARC guerrilla group. Using a validated survey instrument composed of 20 questions ('SRQ-20'), we measure changes in mental health inequalities from 2014, before the signing of the agreement, to 2018, after the signing. We then decompose the changes in inequalities to establish which socioeconomic factors explain differences in mental health inequalities over time.

[Social determinants and the Sustainable Development Goals' tuberculosis target in the AmericasDeterminantes sociais e a meta para a tuberculose dos Objetivos de Desenvolvimento Sustentável nas Américas].

Objective: Determine patterns of tuberculosis (TB) incidence indicators and number of deaths from TB within the framework of target 3.3 of the Sustainable Development Goals (SDGs) and their correlation with social determinants.

Methods: Ecological study methodology was used, in which the population is the unit of analysis.

Introduction and scaling up of new drugs for drug-resistant TB: experiences from the Americas.

The number of multidrug-resistant tuberculosis (MDR-TB) cases reported in the Americas has increased by 21.2%, from 3737 in 2016 to 4791 in 2018. The WHO has been recommending changes on the treatment of DR-TB, moving from long-duration treatment with injectables to a short oral regimen with new drugs such as bedaquiline (BDQ) and delamanid (DLM), in selected cases and only under programmatic conditions.

Prioritising pathogens for the management of severe febrile patients to improve clinical care in low- and middle-income countries.

Background: Severe febrile illness without a known source (SFWS) is a challenge for clinicians when deciding how to manage a patient, particularly given the wide spectrum of potential aetiologies that contribute to fever. These infections are difficult to distinguish clinically, and accurate diagnosis requires a plethora of diagnostics including blood cultures, imaging techniques, molecular or serological tests, and more. When laboratory services are available, a limited test menu hinders clinical decision-making and antimicrobial stewardship, leading to empiric treatment and suboptimal patient outcomes.