Improved water, sanitation, hygiene and waste services in health-care facilities, Ukraine.

Problem: Water, sanitation and waste infrastructure and services in Ukrainian health-care facilities often fail to meet global and national standards, hindering the provision of safe, quality care. The war has worsened existing problems.

Approach: To incrementally improve water, sanitation, hand hygiene, environmental cleaning and health-care waste practices, the World Health Organization (WHO) is working with the health ministry, the Ukrainian Public Health Centre and regional United States Centers for Disease Prevention and Control (CDC) to implement the Water and Sanitation for Health Facility Improvement Tool (WASH FIT).

A multivariable normal tissue complication probability model for predicting radiation-induced hypothyroidism in nasopharyngeal carcinoma patients in the modern radiotherapy era.

Radiation-induced hypothyroidism (RHT) is a common long-term complication for nasopharyngeal carcinoma (NPC) survivors. A model using clinical and dosimetric factors for predicting risk of RHT could suggest a proper dose-volume parameters for the treatment planning in an individual level. We aim to develop a multivariable normal tissue complication probability (NTCP) model for RHT in NPC patients after intensity-modulated radiotherapy or volumetric modulated arc therapy.

Assessment of water, sanitation, and hygiene services in district health care facilities in rural area of Mekong Delta, Vietnam.

Access to sufficient water, sanitation, and hygiene (WASH) services is a crucial requirement for patients during therapy and general well-being in the hospital. However, in low- and middle-income countries, these services are often inadequate, resulting in increased morbidity and mortality of patients. This study aimed at assessing the current situation of WASH services in six District Health Care Facilities (DHCFs) in rural areas of the Mekong Delta provinces, Vietnam.

Binary Response Analysis Using Logistic Regression in Dentistry.

Multivariate analysis with binary response is extensively utilized in dental research due to variations in dichotomous outcomes. One of the analyses for binary response variable is binary logistic regression, which explores the associated factors and predicts the response probability of the binary variable. This article aims to explain the statistical concepts of binary logistic regression analysis applicable to the field of dental research, including model fitting, goodness of fit test, and model validation.

The Trend of Analytical Approaches in Dental Research.

Objectives: The aims of this article are to examine statistical approaches employed in international dental articles published in 2018 and 2019, as well as to examine relationships among analytical approaches, journal rankings, and types of research.

Materials And Methods: International dental journals published in 2018 and 2019 were selected from the four quartiles (Q1-Q4) of journal rankings using a stratified random sampling. All original articles in a randomly sampled issue of each selected journal were reviewed to explore employed statistical approaches and to examine relationships among analytical approaches, journal rankings, and types of research.