| Literature DB >> 23497208 |
Suzanne C M van Esch1, Wieke H Heideman, Wilmy Cleijne, Martina C Cornel, Frank J Snoek.
Abstract
BACKGROUND: Family history (FH) is considered an important factor to detect individuals at increased risk developing type 2 diabetes (T2D). Moreover, FH information could be used to personalise risk messages, which are assumed to increase risk-reducing behaviours. In this study, we aimed to explore Dutch health care professionals' attitudes regarding current or future uptake of a more extensive use of FH information and the family system in diabetes prevention.Entities:
Mesh:
Year: 2013 PMID: 23497208 PMCID: PMC3599529 DOI: 10.1186/1471-2296-14-31
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Distribution of interviewees according to gender and years of clinical experience
| | ||||
|---|---|---|---|---|
| Included practices/outpatient clinics | 6 | 4 | ||
| Number of interviewees§ | 5 | 6 | 5 | 3 |
| Gender | | | | |
| Male | 3 | - | 4 | 1 |
| Female | 2 | 6 | 1 | 2 |
| Clinical experience | | | | |
| 0-10 years | - | 6 | 2 | 2 |
| 11-20 years | 2 | - | 2 | - |
| 21-30 years | 1 | - | 1 | 1 |
| > 31 years | 2 | - | - | - |
Notes: GPs=General practitioners, PNs=Practice Nurses, DSs=Diabetes Specialists, DNs=Diabetes Nurses.
# All interviewees were from Dutch origin.
§ In one general practice, the GP and PN were interviewed at the same time. In another general practice, two PNs were interviewed at the same time. One PN worked in two general practices that were both included in the study.
Distribution of the general practices (N=6) and outpatient clinics (N=4) according to key characteristics of their patients‡
| Social economic status | | |
| Low | 3 | 3 |
| Low and average | 1 | - |
| Average | 1 | - |
| Average and high | 1 | 1 |
| Ethnic backgrounds | | |
| Majority of Dutch origin | 4 | 1 |
| Majority of non-Dutch origin | 2 | 3 |
| Age distribution | | |
| Normal distribution | 4 | 4 |
| > 65 years overrepresented | 2 | - |
‡Professionals were asked to define their patient population according to socioeconomic status (SES), ethnic backgrounds and age distribution.