Exploring lifestyle counselling in routine primary care consultations: the professionals' role.

BACKGROUND: It is generally acknowledged that GPs and practice nurses (PNs) may significantly contribute to a patient's healthy lifestyle behaviour. Two counselling techniques are known to strengthen this process: tailoring information and advice about lifestyle behaviour to a patient and motivational interviewing (MI). It is not clear to what extent GPs and PNs actually apply these techniques during routine consultations. OBJECTIVES: To examine how GPs and PNs discuss patients' lifestyle behaviour, in terms of the level of tailoring of information and advice and their application of MI. METHODS: We randomly videotaped GP-patient and PN-patient consultations within Dutch general practices and selected 124 and 141 consultations, respectively, that included any discussion about the patient's lifestyle. These were analysed, using the 'Behaviour Change Counselling Index', level of tailoring and content of lifestyle counselling. RESULTS: Information about lifestyle is mainly given in generic terms by GPs and PNs. In contrast, advice about smoking behaviour more often seems to be tailored to the patient. GPs hardly ever applied MI in their consultations about patient's lifestyle behaviour. PNs trained in MI did apply this technique, but to some extent only. CONCLUSION: Both GPs and PNs somehow perform lifestyle counselling according to generally acknowledged criteria. However, for both, there is room for improvement in the application of MI skills and in tailoring of information and advice about lifestyle behaviour. Effort needs to be put into integrating such techniques into busy daily practice while simultaneously complying with the many other clinical demands.

Non-participation in population-based disease prevention programs in general practice.

BACKGROUND: The number of people with a chronic disease will strongly increase in the next decades. Therefore, prevention of disease becomes increasingly important. The aim of this systematic review was to identify factors that negatively influence participation in population-based disease prevention programs in General Practice and to establish whether the program type is related to non-participation levels. METHODS: We conducted a systematic review in Pubmed, EMBASE, CINAHL and PsycINFO, covering 2000 through July 6th 2012, to identify publications including information about characteristics of non-participants or reasons for non-participation in population-based disease prevention programs in General Practice. RESULTS: A total of 24 original studies met our criteria, seven of which focused on vaccination, eleven on screening aimed at early detection of disease, and six on screening aimed at identifying high risk of a disease, targeting a variety of diseases and conditions. Lack of personal relevance of the program, younger age, higher social deprivation and former non-participation were related to actual non-participation. No differences were found in non-participation levels or factors related to non-participation between the three program types. The large variation in non-participation levels within the program types may be partly due to differences in recruitment strategies, with more active, personalized strategies resulting in higher participation levels compared to an invitation letter. CONCLUSIONS: There is still much to be gained by tailoring strategies to improve participation in those who are less likely to do so, namely younger individuals, those living in a deprived area and former non-participants. Participation may increase by applying more active recruitment strategies.

Depressive symptoms are associated with physical inactivity in patients with type 2 diabetes. The DIAZOB Primary Care Diabetes study.

BACKGROUND: Depression is a common complication of type 2 diabetes, associated with poor disease outcomes such as impaired glycaemic control, cardiovascular disease and increased mortality. The mechanisms behind these associations are unclear. Depression might contribute to poor disease outcomes through decreased physical activity. OBJECTIVE: To test whether type 2 diabetes patients with elevated depression scores are more often physically inactive. METHODS: Demographic features, clinical factors, level of physical inactivity and depressive symptoms were assessed in 2646 primary care patients with type 2 diabetes. Sequential multiple logistic regression analyses [odds ratio, 95% confidence interval (CI)] were performed to test the association between depressive symptoms and physical inactivity. RESULTS: About 48% of the respondents were physically inactive. Elevated depressive symptoms were found in 14% of the respondents. After adjustment for potential confounders, the odds for being physically inactive were almost doubled in depressed patients with type 2 diabetes 1.74 (95% CI 1.32-2.31). CONCLUSIONS: Presence of depressive symptoms almost doubles the likelihood of physical inactivity in patients with type 2 diabetes. Longitudinal studies are needed to investigate whether physical inactivity forms the link between depression and poor disease outcomes.

The primary-secondary care interface: does provision of more services in primary care reduce referrals to medical specialists?

Great variation in referral rates between primary care physicians has been the main reason to influence physician's referral behaviour, by for example, stimulating extra services. This study investigated the extent to which the number of therapeutic and diagnostic services performed by primary care physicians influenced referrals. Data was derived from electronic medical records of 70 general practices for the period 2006 until 2010. For the total patient population (N=651,089 patient years) and specific patients groups for whom specific services were performed mostly (28 groups; 10 services), logistic multilevel regression analyses were conducted to determine associations between the number of services performed in a practice and referrals to medical specialists. The total number of services performed in a practice was not associated with the referral rate (OR: 1.00). Only for two specific services was a significant association found: a lower referral rate for minor surgery for patient with sebaceous cysts (OR: 0.98) and a higher rate for Doppler diagnostic tests for patients with other peripheral arterial diseases (OR: 1.04). As the number of services in general practice was rarely associated with referrals, other measures might be more effective in changing referral behaviour. Another explanation for our results could be that certain preconditions have not been met.