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The impact of patient and practice characteristics on retention in the diabetes annual review programme.
- Source :
- Journal of Primary Health Care; Jun2013, Vol. 5 Issue 2, p99-104, 6p
- Publication Year :
- 2013
-
Abstract
- INTRODUCTION: Despite more than 10 years of the diabetes annual review (DAR) programme, ensuring the annual return of diabetic patients for review remains a challenge for primary care. Regardless of future arrangements for diabetes review programmes, regular review of patients remains clinically important. AIM: To investigate the effect of patient and practice characteristics on the retention of patients continuously enrolled with the same practice in the DAR programme. METHODS: We undertook a retrospective, observational study of a cohort of enrolled diabetic patients who had a DAR in the July 2006 - June 2007 reporting year and remained enrolled with the same practice for the following three years. Controlling for death and migration, retention rates were calculated for age, gender, ethnicity, rurality, practice fundingtype and practice nurse (PN) to general practitioner (GP) ratio. RESULTS: The study included data from 78 practices and 6610 patients with Type 2 diabetes. Non-Maori and those aged 60 years and over were more likely to be retained in the programme. For practice factors, those with a higher PN to GP ratio had a significant retention advantage. Rurality and funding type was not shown to have a significant role in retention. DISCUSSION: Results support the view that both patient and practice factors influence a patient's retention within the DAR programme. The PN to GP ratio may be an important factor in the retention of patients in a DAR programme and warrants further research and consideration when planning future primary care models. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRIMARY health care
CONFIDENCE intervals
EPIDEMIOLOGY
MAORI (New Zealand people)
MEDICAL office nursing
TYPE 2 diabetes
SCIENTIFIC observation
GENERAL practitioners
RESEARCH funding
STATISTICS
LOGISTIC regression analysis
DATA analysis
RETROSPECTIVE studies
PATIENT dropouts
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 11726164
- Volume :
- 5
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Primary Health Care
- Publication Type :
- Academic Journal
- Accession number :
- 88008231
- Full Text :
- https://doi.org/10.1071/hc13099