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AimWe sought to examine strength of primary care service delivery as measured by selected process indicators by general practitioners from 31 European countries plus Australia, Canada, and New Zealand. We explored the relation between strength of service delivery and healthcare expenditures., Background: The strength of a country's primary care is determined by the degree of development of a combination of core primary care dimensions in the context of its healthcare system. This study analyses the strength of service delivery in primary care as measured through process indicators in 31 European countries plus Australia, New Zealand, and Canada., Methods: A comparative cross-sectional study design was applied using the QUALICOPC GP database. Data on the strength of primary healthcare were collected using a standardized GP questionnaire, which included 60 questions divided into 10 dimensions related to process, structure, and outcomes. A total of 6734 general practitioners participated. Data on healthcare expenditure were obtained from World Bank statistics. We conducted a correlation analysis to analyse the relationship between strength and healthcare expenditures.FindingsOur findings show that the strength of service delivery parameters is less than optimal in some countries, and there are substantial variations among countries. Continuity and comprehensiveness of care are significantly positively related to national healthcare expenditures; however, coordination of care is not.

Background: Sadness and anhedonia (loss of interest in activities) are central symptoms of major depression. However, not all people with these symptoms meet diagnostic criteria for major depression. We aimed to assess the importance of suicidality in the outcomes for primary care patients who present with sadness and anhedonia., Method: Cohort study of 2,599 unselected primary care attenders in six European countries followed up at 6 and 12 months., Results: 1) In patients with sadness and/or anhedonia who were not depressed at entry to the study, suicide plans (OR = 3.05; 95 % CI = 1.50-6.24; p = 0.0022) and suicide attempts (OR = 9.08; 95 % CI = 2.57-32.03; p = 0.0006) were significant predictors of developing new onset depression at 6 or 12 months. 2) In patients with sadness and/or anhedonia who met CIDI criteria for major depression at entry, suicidal ideation (OR = 2.93; 95 % CI = 1.70-5.07; p = 0.0001), suicide plans (OR = 3.70; 95 % CI = 2.08-6.57; p < 0.0001), and suicide attempts (OR = 3.33; 95 % CI = 1.47-7.54; p = 0.0040) were significant predictors of persistent depression at 6 or 12 months., Conclusions: Three questions on suicidality could help primary care professionals to assess such patients more closely without necessarily establishing whether they meet criteria for major depression.

Introduction: Primary care (PC) is the provision of universally accessible, integrated, person-centred, comprehensive health and community services. Professionals active in primary care teams include family physicians and general practitioners (FP/GPs). There is concern in Slovenia that the current economic crisis might change the nature of PC services. Access, one of the most basic requirements of general practice, is universal in Slovenia, which is one of the smallest European countries; under national law, compulsory health insurance is mandatory for its citizens. Our study examined access to PC in Slovenia during a time of economic crisis as experienced and perceived by patients between 2011 and 2012, and investigated socio-demographic factors affecting access to PC in Slovenia., Methods: Data were collected as a part of a larger international study entitled Quality and Costs of Primary Care in Europe (QUALICOPC) that took place during a period of eight months in 2011 and 2012. 219 general practices were included; in each, the aim was to evaluate 10 patients. Dependent variables covered five aspects of access to PC: communicational, cultural, financial, geographical and organizational. 15 socio-demographic factors were investigated as independent variables. Descriptive statistics, factor analysis and multilevel analysis were applied., Results: There were 1,962 patients in the final sample, with a response rate of 89.6%. The factors with the most positive effect on access to PC were financial and cultural; the most negative effects were caused by organizational problems. Financial difficulties were not a significant socio-demographic factor. Greater frequency of visits improves patients' perception of communicational and cultural access. Deteriorating health conditions are expected to lower perceived geographical access. Patients born outside Slovenia perceived better organizational access than patients born in Slovenia., Conclusions: Universal medical insurance in Slovenia protects most patients from PC inaccessibility. However, problems perceived by patients may indicate the need for changes in the organization of PC.

Background: The family physician's task in prevention is not only an assessment of patients' health risks but also counselling individual patients., Aim: Aim of this primary care based study was to find how patients' characteristics relate to their readiness to change., Methods: This multinational cross-sectional survey was conducted in primary care in 22 European countries, coordinated by EUROPREV. Consecutive attenders from randomly selected family practices answered a questionnaire about attitudes towards prevention and about lifestyle., Results: The questionnaire was answered by 7947 patients in 224 primary care practices in 22 European countries. Smoking was reported by 828 women (23.2%) versus 1238 (32.57%) men, unhealthy diet by 637 (11.6%) women versus 830 men (17.62%), risky alcohol consumption by 348 women (8.19%) versus 1009 men (23.07%) and the lack of physical activity by 617 women (12.68%) versus 614 men (16.45%). The need for change was declared by 432 (31.8%) of 1357 risky drinkers, 612 (29.6%) of 2066 smokers, 1210 (82.4%) of 1467 patients with unhealthy diet and by 2456 (30.9%) of all participants, 1231 of them were not physically active at all. Among patients with unhealthy dietary habits, 681 (56.3%) were confident of successfully changing their behaviour, among physically inactive it was 1561 (63.6 %), among smokers 284 (46.4%), and among risky drinkers 214 (49.5%)., Conclusion: More likely to be ready to change unhealthy lifestyles are frequent attenders, European Union citizens, women and patients under 50 years of age.

BackgroundThe different incidence rates of, and risk factors for, depression in different countries argue for the need to have a specific risk algorithm for each country or a supranational risk algorithm. We aimed to develop and validate a predictD-Spain risk algorithm (PSRA) for the onset of major depression and to compare the performance of the PSRA with the predictD-Europe risk algorithm (PERA) in Spanish primary care.MethodA prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multi-level logistic regression and inverse probability weighting to build the PSRA. In Spain (4574), Chile (2133) and another five European countries (5184), 11 891 non-depressed adult primary care attendees formed our at-risk population. The main outcome was DSM-IV major depression (CIDI).ResultsSix variables were patient characteristics or past events (sex, age, sex×age interaction, education, physical child abuse, and lifetime depression) and six were current status [Short Form 12 (SF-12) physical score, SF-12 mental score, dissatisfaction with unpaid work, number of serious problems in very close persons, dissatisfaction with living together at home, and taking medication for stress, anxiety or depression]. The C-index of the PSRA was 0.82 [95% confidence interval (CI) 0.79–0.84]. The Integrated Discrimination Improvement (IDI) was 0.0558 [standard error (s.e.)=0.0071, Zexp=7.88, p<0.0001] mainly due to the increase in sensitivity. Both the IDI and calibration plots showed that the PSRA functioned better than the PERA in Spain.ConclusionsThe PSRA included new variables and afforded an improved performance over the PERA for predicting the onset of major depression in Spain. However, the PERA is still the best option in other European countries. [ABSTRACT FROM PUBLISHER]

BackgroundThere are no risk models for the prediction of anxiety that may help in prevention. We aimed to develop a risk algorithm for the onset of generalized anxiety and panic syndromes.MethodFamily practice attendees were recruited between April 2003 and February 2005 and followed over 24 months in the UK, Spain, Portugal and Slovenia (Europe4 countries) and over 6 months in The Netherlands, Estonia and Chile. Our main outcome was generalized anxiety and panic syndromes as measured by the Patient Health Questionnaire. We entered 38 variables into a risk model using stepwise logistic regression in Europe4 data, corrected for over-fitting and tested it in The Netherlands, Estonia and Chile.ResultsThere were 4905 attendees in Europe4, 1094 in Estonia, 1221 in The Netherlands and 2825 in Chile. In the algorithm four variables were fixed characteristics (sex, age, lifetime depression screen, family history of psychological difficulties); three current status (Short Form 12 physical health subscale and mental health subscale scores, and unsupported difficulties in paid and/or unpaid work); one concerned country; and one time of follow-up. The overall C-index in Europe4 was 0.752 [95% confidence interval (CI) 0.724–0.780]. The effect size for difference in predicted log odds between developing and not developing anxiety was 0.972 (95% CI 0.837–1.107). The validation of predictA resulted in C-indices of 0.731 (95% CI 0.654–0.809) in Estonia, 0.811 (95% CI 0.736–0.886) in The Netherlands and 0.707 (95% CI 0.671–0.742) in Chile.ConclusionsPredictA accurately predicts the risk of anxiety syndromes. The algorithm is strikingly similar to the predictD algorithm for major depression, suggesting considerable overlap in the concepts of anxiety and depression. [ABSTRACT FROM PUBLISHER]