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Building the evidence for integrated care for type 2 diabetes: a pilot study.
- Source :
- Australian Journal of Primary Health; 2016, Vol. 22 Issue 5, p409-415, 7p
- Publication Year :
- 2016
-
Abstract
- Integrated care models have the potential to reduce fragmentation in the health system and improve outcomes for people with type 2 diabetes. A pilot evaluation of an integrated care model for people with type 2 diabetes in Melbourne, Australia, is reported on. Two studies were conducted: (1) a 6-month pilot randomised controlled trial (n = 56) evaluating the impact of the integrated care model relative to hospital outpatient clinics; and (2) a cross-sectional study (n = 92) of patients attending the two services. The primary outcome was diabetes-specific distress; secondary outcomes were perceived quality of diabetes care, diabetes-specific self-efficacy and glycated haemoglobin (HbA1c). There was no effect of service setting on diabetes-specific distress. Participants from the integrated care setting perceived the quality of diabetes care to be higher than did participants from the hospital clinics. Significant HbA1c improvements were observed over time, but with no effect of service setting. The model holds promise for people with type 2 diabetes who need more specialist/multidisciplinary care than can be provided in primary care. Patients' evaluations of the quality of diabetes care received at the integrated care service are very positive, which is likely to be one of the key strengths of the integrated model. [ABSTRACT FROM AUTHOR]
- Subjects :
- TYPE 2 diabetes treatment
INTEGRATED health care delivery
ANALYSIS of covariance
ANALYSIS of variance
GLYCOSYLATED hemoglobin
HEALTH care teams
MEDICAL quality control
MEDICAL specialties & specialists
PATIENT satisfaction
PRIMARY health care
PROBABILITY theory
RESEARCH funding
HEALTH self-care
PSYCHOLOGICAL stress
T-test (Statistics)
EVIDENCE-based medicine
PILOT projects
RANDOMIZED controlled trials
TREATMENT effectiveness
REPEATED measures design
CROSS-sectional method
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 14487527
- Volume :
- 22
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Australian Journal of Primary Health
- Publication Type :
- Academic Journal
- Accession number :
- 118891261
- Full Text :
- https://doi.org/10.1071/PY15020