Artificial intelligence (AI) tools are increasingly being used within healthcare for various
purposes, including helping patients to adhere to drug regimens. The aim of this narrative …

Background Non-communicable diseases among children are serious consequences of
childhood obesity. However, less is known about the disparities in childhood obesity …

Background: Few studies have assessed the relationship between multimorbidity patterns
and mortality risk in the Chinese population. We aimed to identify multimorbidity patterns …

Introduction: Multimorbidity has become one of the key issues in the public health sector.
This study aimed to explore the urban–rural differences in patterns and associated factors of …

Aim The aim of this study was to identify and describe multimorbidity patterns among middle-
aged and older community-dwelling individuals in Germany. Moreover, we aimed to …

Background: Mobile apps offer an opportunity to improve the lifestyle of patients with chronic
conditions or multimorbidity. However, for apps to be recommended in clinical practice, their …

Multimorbidity is challenging for both patients and healthcare systems due to its increasing
prevalence and high impact on people's health and well-being. The risk of multimorbidity …

Objectives To determine the prevalence of multiple long-term conditions (MLTC) at whole
English population level, stratifying by age, sex, socioeconomic status and ethnicity. Design …

Chronic obstructive airway diseases such as chronic obstructive pulmonary disease
(COPD), asthma, rhinitis, and obstructive sleep apnea (OSA) are amongst the most common …

Background Care plans are central to effective care delivery for people with multiple chronic
conditions. But existing care plans—which typically are difficult to share across care settings …