A Review of the Use of Routine Data on CHD in General Practice Research in Scotland

2005 ◽  
Vol 50 (3) ◽  
pp. 109-113 ◽  
Author(s):  
G McLean
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
General Practice ◽  
Literature Review ◽  
Research Methods ◽  
Routine Data ◽  
Practice Research ◽  
Primary Care Research ◽  
Care Research ◽  
Extensive Range

Background: The primary aim of the Platform Project is to maximise the use of routine data for-primary care research in Scotland. Aims: To assess the extent to which routine data ts available and has been used in studies on CHD in General Practice research in Scotland. To assess the advantages and limitations of using routine data in this setting Methods: Literature review using a variety of databases catalogues and websites, bibliographies of articles retrieved and searching through journals by hand not available electronically. Results: This review has found that the use of routine data in CHD studies in General Practice research in Scotland remains small. There has been little work undertaken which has combined the use of routine data with other research methods. Limitations with routine data exist particularly with regard to risk factors and ethnicity. However, despite such limitations there exists an increasingly extensive range of data, which exists to help explain tends in CHD, which so far has been largely underused.

scholarly journals Do we need more training for interdisciplinary and interprofessional collaboration prior to implementing any primary care research action?

2018 ◽  
Vol 12 (1) ◽  
pp. 21-24
Author(s):  
Christos Lionis ◽  
Elena Petelos
Keyword(s):  
Primary Care ◽  
Interprofessional Collaboration ◽  
Interdisciplinary Collaboration ◽  
Research Network ◽  
Practice Research ◽  
Relevant Research ◽  
Efficient Manner ◽  
Primary Care Research ◽  
Care Research ◽  
Interdisciplinary Partnership

There has been a continuously increasing focus and discussion on interdisciplinary collaboration in primary care, across various settings and in different forums, during the past few years. Interprofessional and interdisciplinary collaboration should be a cornerstone of daily practice and context-relevant research. We considered it important for this manuscript to attempt to address some of the key issues linked to the recognised need for competence-based training, focusing on interdisciplinary and interprofessional collaboration, so as to promote and enhance context-relevant research in primary care. This article provides a general introduction and an overview of this topic, along with some key concepts and operational definitions. These key definitions and their interrelated nature are examined in detail, including those of practice-based research network, patient-centred primary care research, and interdisciplinary partnership for research. Furthermore, this paper outlines the reasons for the strong focus on composition and the development of strategies to enhance the research capacity of interdisciplinary partnerships throughout training. Workforce training, retention and academic collaboration are considered, with a particular focus on primary care, and existing interprofessional relationships and perceptions thereof. Organizational aspects influencing relationships and practice are considered along with their contribution in terms of practice, research and discourse. Finally, conclusions and recommendations, formed under the prism of rapidly changing population needs, person-centred values and the imperative need of bringing innovation to the patient in an effective and efficient manner, are presented for further discussion.

scholarly journals African Primary Care Research: Quantitative analysis and presentation of results

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Bob Mash ◽  
Gboyega A. Ogunbanjo
Keyword(s):  
Primary Care ◽  
Data Analysis ◽  
Quantitative Analysis ◽  
Research Methods ◽  
Categorical Data ◽  
Research Proposal ◽  
Research Report ◽  
Master's Level ◽  
Primary Care Research ◽  
Care Research

This article is part of a series on Primary Care Research Methods. The article describes types of continuous and categorical data, how to capture data in a spreadsheet, how to use descriptive and inferential statistics and, finally, gives advice on how to present the results in text, figures and tables. The article intends to help Master’s level students with writing the data analysis section of their research proposal and presenting their results in their final research report.

A valuable approach to the use of electronic medical data in primary care research: Panning for gold

2016 ◽  
Vol 46 (2) ◽  
pp. 51-57 ◽  
Author(s):  
Stephen Barnett ◽  
Joan Henderson ◽  
Adam Hodgkins ◽  
Christopher Harrison ◽  
Abhijeet Ghosh ◽  
...  
Keyword(s):  
Primary Care ◽  
General Practice ◽  
Care Delivery ◽  
Smoking Status ◽  
Distribution Patterns ◽  
Medical Data ◽  
Patient Age ◽  
Primary Care Research ◽  
Care Research ◽  
Patient Âgé

Background: Electronic medical data (EMD) from electronic health records of general practice computer systems have enormous research potential, yet many variables are unreliable. Objective: The aim of this study was to compare selected data variables from general practice EMD with a reliable, representative national dataset (Bettering the Evaluation and Care of Health (BEACH)) in order to validate their use for primary care research. Method: EMD variables were compared with encounter data from the nationally representative BEACH program using χ2 tests and robust 95% confidence intervals to test their validity (measure what they reportedly measure). The variables focused on for this study were patient age, sex, smoking status and medications prescribed at the visit. Results: The EMD sample from six general practices in the Illawarra region of New South Wales, Australia, yielded data on 196,515 patient encounters. Details of 90,553 encounters were recorded in the 2013 BEACH dataset from 924 general practitioners. No significant differences in patient age ( p = 0.36) or sex ( p = 0.39) were found. EMD had a lower rate of current smokers and higher average scripts per visit, but similar prescribing distribution patterns. Conclusion: Validating EMD variables offers avenues for improving primary care delivery and measuring outcomes of care to inform clinical practice and health policy.

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