Improving the Response Rates in Primary Care Research. Some Methods used in a Survey on Stress in General Practice since the New Contract (1990)

1993 ◽  
Vol 10 (3) ◽  
pp. 342-346 ◽  
Author(s):  
SYBIL MYERSON
Keyword(s):  
Primary Care ◽  
General Practice ◽  
Response Rates ◽  
Primary Care Research ◽  
Care Research

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.

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.

scholarly journals African Primary Care Research: Performing a programme evaluation

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Lilian Dudley
Keyword(s):  
Primary Care ◽  
Qualitative Data ◽  
Developmental Process ◽  
Programme Evaluation ◽  
Primary Care Research ◽  
Qualitative Interviewing ◽  
Care Research ◽  
Data Collection And Analysis ◽  
Different Types ◽  
African Context

This article is part of a series on Primary Care Research in the African context and focuses on programme evaluation. Different types of programme evaluation are outlined: developmental, process, outcome and impact. Eight steps to follow in designing your programme evaluation are then described in some detail: engage stakeholders; establish what is known; describe the programme; define the evaluation and select a study design; define the indicators; planand manage data collection and analysis; make judgements and recommendations; and disseminate the findings. Other articles in the series cover related topics such as writing your research proposal, performing a literature review, conducting surveys with questionnaires, qualitative interviewing and approaches to quantitative and qualitative data analysis.

scholarly journals Screening for distress and depression in cancer settings: 10 lessons from 40 years of primary-care research

2011 ◽  
Vol 20 (6) ◽  
pp. 572-584 ◽  
Author(s):  
Alex J. Mitchell ◽  
Arshya Vahabzadeh ◽  
Kathryn Magruder
Keyword(s):  
Primary Care ◽  
Primary Care Research ◽  
Care Research ◽  
Screening For Distress ◽  
Cancer Settings

Depression, Diabetes and Multi-Morbidity: Results from the Northern Alberta Primary Care Research Network Data

2015 ◽  
Vol 39 ◽  
pp. S27-S28
Author(s):  
Ayodele A. Ogunleye ◽  
Donna P. Manca ◽  
Arya M. Sharma ◽  
Denise L. Campbell-Scherer
Keyword(s):  
Primary Care ◽  
Research Network ◽  
Network Data ◽  
Primary Care Research ◽  
Care Research ◽  
Northern Alberta
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