Person-centred care as an evolving field of research: A mixed-methods systematic review project
Short description
This project aims to provide an overview of the international research conducted pertaining to person-centred care (PCC). The project also includes more closely exploring the features of the research conducted and of the knowledge generated. The amount of research on PCC have increased considerably during the last couple of years. Various terms (e.g. person-centred, patient-centred, client-centred etc) are being used in the literature. This makes systematic searches challenging and the research field difficult to overview.
The project entails; 1) Developing and conducting comprehensive literature searches in electronic databases, 2) Developing and testing a statistical predictive classification method to identify records and 3) Synthesis and reporting of findings in several studies including a scoping review presenting a map of the field
Background
Person-Centered Care (PCC) have yielded significant benefits in health care such as improved quality of care and reduced costs. There are however barriers towards a broad implementation of PCC. The amount of research on the topic is hard to overview and there is no consensus on the terms and theoretical models used. This risks leading to confusion and uncertainty.
Purpose
To provide an overview of the international research conducted pertaining to person-centred care (PCC). The project also includes more closely exploring the features of the research conducted and of the knowledge generated.
Method
Literature search for all studies have been developed using index terms e.g. medical subject headings (MeSH) and free text words pertaining to person-centred care including related terms. Searches have been conducted in the electronic databases PubMed, Scopus, PsycINFO, CINAHL, WoS and Embase.
Such a literature search generates about 80,000 records. In order to be able to handle this amount of records, the project partly involves manual screening of 5000+ of these records and then, in collaboration with an expert in language technology, build an algorithm or statistical predictive classification method that filters out the most relevant studies.
The project includes developing this method for filtering out relevant literature, presenting a map of the research field, and then compiling a number of specific review articles where specific aspects of PCC are synthesized and presented.
Significance
The project results will be of importance in for example the current policy development of PCC as related to course of care for several medical diagnosis, as well as for patient contracts at the Swedish Association of Local Authorities and Regions (skr.se).
Research
Emma Forsgren
Previous researcher: Eva Jakobsson Ung