Systematic review: Unmet supportive care needs in people diagnosed with chronic liver disease

Objective People with chronic liver disease, particularly those with decompensated cirrhosis, experience several potentially debilitating complications that can have a significant impact on activities of daily living and quality of life. These impairments combined with the associated complex treatment mean that they are faced with specific and high levels of supportive care needs. We aimed to review reported perspectives, experiences and concerns of people with chronic liver disease worldwide. This information is necessary to guide development of policies around supportive needs screening tools and to enable prioritisation of support services for these patients. Design Systematic searches of PubMed, MEDLINE, CINAHL and PsycINFO from the earliest records until 19 September 2014. Data were extracted using standardised forms. A qualitative, descriptive approach was utilised to analyse and synthesise data. Results The initial search yielded 2598 reports: 26 studies reporting supportive care needs among patients with chronic liver disease were included, but few of them were patient-reported needs, none used a validated liver disease-specific supportive care need assessment instrument, and only three included patients with cirrhosis. Five key domains of supportive care needs were identified: informational or educational (eg, educational material, educational sessions), practical (eg, daily living), physical (eg, controlling pruritus and fatigue), patient care and support (eg, support groups), and psychological (eg, anxiety, sadness). Conclusions While several key domains of supportive care needs were identified, most studies included hepatitis patients. There is a paucity of literature describing the supportive care needs of the chronic liver disease population likely to have the most needs—namely those with cirrhosis. Assessing the supportive care needs of people with chronic liver disease have potential utility in clinical practice for facilitating timely referrals to support services.

Medical free-text to concept mapping as an information retrieval problem

Concept mapping involves determining relevant concepts from a free-text input, where concepts are defined in an external reference ontology. This is an important process that underpins many applications for clinical information reporting, derivation of phenotypic descriptions, and a number of state-of-the-art medical information retrieval methods. Concept mapping can be cast into an information retrieval (IR) problem: free-text mentions are treated as queries and concepts from a reference ontology as the documents to be indexed and retrieved. This paper presents an empirical investigation applying general-purpose IR techniques for concept mapping in the medical domain. A dataset used for evaluating medical information extraction is adapted to measure the effectiveness of the considered IR approaches. Standard IR approaches used here are contrasted with the effectiveness of two established benchmark methods specifically developed for medical concept mapping. The empirical findings show that the IR approaches are comparable with one benchmark method but well below the best benchmark.