Investigating the nature of interprofessional collaboration in primary care across the Western Health Region of Brasília, Brazil: A study protocol.
Diana PinhoClelia ParreiraElizabeth QueirozGardênia AbbadScott ReevesPublished in: Journal of interprofessional care (2017)
Primary care can provide a supportive context for the development of interprofessional collaborative practice owing to its nature and dynamics. In Brazil, a number of practice changes have already occurred to primary care, notably the implementation of the Family Health Strategy which promoted interprofessional collaboration (IPC). In Brasilia, a new arrangement was implemented in 2016 that focused on an expansion of primary healthcare. However, it is not clear how these reforms will affect the nature of IPC or the delivery of patient care. The article presents a study protocol which describes a study that aims to explore the nature of IPC in the context of primary care in the Western Health Region of Brasilia. A sequential mixed methods design will be used to gather both quantitative and qualitative data. Initially, we will translate, cross-culturally adapt, and validate an IPC scale for a survey of primary care teams. We will then undertake a series of focus groups with a purposeful sample of team members to explore the results from the survey. Quantitative data will be analysed with descriptive and multivariate statistics. A content analysis will be undertaken with the focus group data. We expect that the results will illuminate a range of elements linked to IPC in primary care as well as identify areas for improving IPC skills, patient safety, quality of care, and healthcare outcomes in this clinical context.
Keyphrases
- primary care
- healthcare
- patient safety
- quality improvement
- study protocol
- public health
- general practice
- mental health
- palliative care
- electronic health record
- clinical trial
- health information
- systematic review
- cross sectional
- metabolic syndrome
- big data
- type diabetes
- adipose tissue
- artificial intelligence
- pain management
- data analysis
- water quality
- weight loss