Transmural collaborative care model for the review of antipsychotics: a feasibility study of a complex intervention.

General practitioners (GPs) are often unaware of antipsychotic (AP)-induced cardiovascular risk (CVR) and therefore patients using atypical APs are not systematically monitored. We evaluated the feasibility of a complex intervention designed to review the use of APs and advise on CVR-lowering strategies in a transmural collaboration. A mixed methods prospective cohort study in three general practices in the Netherlands was conducted in 2021. The intervention comprised three steps: a digital information meeting, a multidisciplinary meeting, and a shared decision-making visit to the GP. We assessed patient recruitment and retention rates, advice given and adopted, and CVR with QRISK3 score and mental state with MHI-5 at baseline and three months post-intervention. GPs invited 57 of 146 eligible patients (39%), of whom 28 (19%) participated. The intervention was completed by 23 (82%) and follow-up by 18 participants (64%). At the multidisciplinary meeting, 22 (78%) patients were advised to change AP use. Other advice concerned medication (other than APs), lifestyle, monitoring, and psychotherapy. At 3-months post-intervention, 41% (28/68) of this advice was adopted. Our findings suggest that this complex intervention is feasible for evaluating health improvement in patients using AP in a trial.

Cardiovascular risk management in patients with severe mental illness or taking antipsychotics: A qualitative study on barriers and facilitators among dutch general practitioners.

BACKGROUND: Patients with severe mental illness (SMI) or receiving treatment with antipsychotics (APs) have an increased risk of cardiovascular disease. Cardiovascular risk management (CVRM) increasingly depends on general practitioners (GPs) because of the shift of mental healthcare from secondary to primary care and the surge of off-label AP prescriptions. Nevertheless, the uptake of patients with SMI/APs in CVRM programmes in Dutch primary care is low. OBJECTIVES: To explore which barriers and facilitators GPs foresee when including and treating patients with SMI or using APs in an existing CVRM programme. METHODS: In 2019, we conducted a qualitative study among 13 Dutch GPs. During individual in-depth, semi-structured interviews a computer-generated list of eligible patients who lacked annual cardiovascular risk (CVR) screening guided the interview. Data was analysed thematically. RESULTS: The main barriers identified were: (i) underestimation of patient CVR and ambivalence to apply risk-lowering strategies such as smoking cessation, (ii) disproportionate burden on GPs in deprived areas, (iii) poor information exchange between GPs and psychiatrists, and (iv) scepticism about patient compliance, especially those with more complex conditions. The main facilitators included: (i) support of GPs through a computer-generated list of eligible patients and (ii) involvement of family or carers. CONCLUSION: This study displays a range of barriers and facilitators anticipated by GPs. These indicate the preconditions required to remove barriers and facilitate GPs, namely adequate recommendations in practice guidelines, improved consultation opportunities with psychiatrists, practical advice to support patient adherence and incentives for practices in deprived areas.

Effectiveness of a Pharmacist-Led Web-Based Medication Adherence Tool With Patient-Centered Communication: Results of a Clustered Randomized Controlled Trial.

BACKGROUND: Growing numbers of people use medication for chronic conditions; nonadherence is common, leading to poor disease control. A web-based tool to identify an increased risk for nonadherence with related potential individual barriers might facilitate tailored interventions and improve adherence. OBJECTIVE: This study aims to assess the effectiveness of a newly developed tool aimed at improving medication adherence. METHODS: We performed a cluster randomized controlled trial in patients initiating cardiovascular or oral blood glucose-lowering medication. Participants were recruited from community pharmacies. They completed an online questionnaire comprising assessments of their risk for medication nonadherence and subsequently of barriers to adherence. In pharmacies belonging to the intervention group, individual barriers displayed in a graphical profile on a tablet were discussed by pharmacists and patients with high nonadherence risk in face-to-face meetings and shared with their general practitioners and practice nurses. Tailored interventions were initiated by pharmacists. Barriers of control patients were not presented nor discussed and these patients received usual care. The primary outcome was the effectiveness of the intervention on medication adherence at 8 months' follow-up between patients with an increased nonadherence risk from the intervention and control groups, calculated from dispensing data. RESULTS: Data from 492 participants in 15 community pharmacies were available for analyses (intervention 253, 7 pharmacies; control 239, 8 pharmacies). The intervention had no effect on medication adherence (B=-0.01; 95% CI -0.59 to 0.57; P=.96), nor in the post hoc per-protocol analysis (B=0.19; 95% CI -0.50 to 0.89; P=.58). CONCLUSIONS: This study showed no effectiveness of a risk stratification and tailored intervention addressing personal barriers for medication adherence. Various potential explanations for lack of effectiveness were identified. These explanations relate, for instance, to high medication adherence in the control group, study power, and fidelity. Process evaluation should elicit possible improvements and inform the redesign of intervention and implementation. TRIAL REGISTRATION: The Netherlands National Trial Register NTR5186; https://tinyurl.com/5d8w99hk.

Cooperation networks of ambulatory health care providers: exploration of mechanisms that influence coordination and uptake of recommended cardiovascular care (ExKoCare): a mixed-methods study protocol.

BACKGROUND: As the number of elderly and multimorbid patients increases, healthcare has become more complex. This requires good coordination of treatment and care given the various  health care professionals involved (e.g. general practitioners, medical specialists, physicians' assistants). Lack of coordination jeopardizes seamless, evidence-based treatment and care, and eventually reduces clinical effectiveness. The aim of the study is a) to describe and explore information transfer and interprofessional collaboration in ambulatory cardiac care, b) to describe and explore the role of provider networks from the perspective of patients and providers, focusing on healthcare coordination and the uptake of recommended practices. METHODS: Two related studies are planned: a) an observational study of healthcare provider networks, involving 600 patients with chronic (atherosclerosis-related) cardiovascular disease from 40 general practices and up to 320 healthcare providers (general practitioners, medical specialist, physicians' assistants), and b) a qualitative interview study with up to 80 healthcare professionals and patients. Furthermore, we will analyse claims data of a large German health insurer to explore provider networks in ambulatory cardiac care. DISCUSSION: The project aims to provide insight into factors, processes and mechanisms of information transfer and interprofessional collaboration, which affect seamless, evidence-based healthcare practice. This will contribute to the design of strategies for improving health care practice and to the development of measures of coordination for future research. TRIAL REGISTRATION: We registered the study prospectively on 7 November 2019 at the German Clinical Trials Register (DRKS, www.drks.de) under ID no. DRKS00019219 .

The decline in physical activity in aging people is not modified by gender or the presence of cardiovascular disease.

BACKGROUND: A physically active lifestyle decreases the progression of atherosclerosis and consequently reduces cardiovascular mortality. However, activity levels are hampered by aging. The association between aging and physical inactivity might be gender-specific or be modified by the presence of cardiovascular disease (CVD). In this study, we investigated if the association between aging and physical inactivity was different between men and women and between primary and secondary prevention patients. METHODS: We performed a cross-sectional analysis of three primary care samples including primary and/or secondary prevention patients (total n = 4726). Baseline data for sample 1 were collected in the years 2013-14, for sample 2 in 2009-10 and for sample 3 in 2009. Activity levels were measured by the patient reported Rapid Assessment of Physical Activity questionnaire. A multilevel regression analysis was used to explore the association between aging and physical inactivity, adjusted for confounders. We examined potential effect modification by gender and the presence of CVD on the association between aging and physical inactivity. RESULTS: Multilevel regression revealed that aging was consistently associated with physical inactivity in three out of three samples. This association was, however, not modified by gender or the presence of CVD. CONCLUSIONS: Cardiovascular risk management interventions should aim at increasing or maintaining physical activity levels in aging primary care population. This study does not support the notion that extra emphasis should be put in targeting men or women, or people with or without the presence of CVD.

Symptoms of depression are associated with physical inactivity but not modified by gender or the presence of a cardiovascular disease; a cross-sectional study.

BACKGROUND: Depressive symptomatology may act as a barrier to enhance physical activity. This phenomenon is predominantly found in patients with an established cardiovascular disease (CVD) and in female patients. This cross-sectional study investigated (1) the association between symptoms of depression and physical inactivity, and (2) whether this association is different between primary and secondary prevention patients, and between men and women. METHODS: The study design concerns a secondary analysis of baseline data from a randomized clinical trial, including primary and secondary prevention patients (n = 2184; mean age 71.6 ± 8.94), from 34 general practitioner panels. The Rapid Assessment of Physical Activity questionnaire (RAPA) was used to measure patient reported activity levels. Symptoms of depression were determined using the Patient Health Questionnaire (PHQ-9). Multilevel linear regression analysis was used to explore the association between symptoms of depression and physical activity while adjusting for confounders. Gender and whether or not having a CVD were considered as potential effect modifiers for the association between symptoms of depression and inactivity. RESULTS: Symptoms of depression were associated with lower levels of physical activity. This association was neither different for men and women nor for primary and secondary prevention patients. CONCLUSION: In primary care patients' symptoms of depression were associated with physical inactivity. This association was not modified by gender or the presence of a CVD. Future research should focus on lifestyle interventions aiming at the increase of physical activity levels, while emphasizing on improving symptoms of depression in men, women, and patients both with and without a history of CVD.

Patient cardiovascular risk self-management: results from a randomized trial of motivational interviewing delivered by practice nurses.

BACKGROUND: To enhance cardiovascular risk management and patients' self-management, a tailored programme to improve cardiovascular risk management was tested in a randomized trial. The presented study concerned secondary analysis. OBJECTIVES: To explore the correlations of practice nurses' counselling skills at baseline on chronic illness care (measured with Patient Assessment of Chronic Illness Care questionnaire) and patients' self-management (assessed with Patient Activation Measure) at follow-up and to examine the effect of the tailored implementation programme on chronic illness care and patients' self-management. METHODS: A two-arm cluster randomized trial was conducted in 34 general practices in the Netherlands. Counselling skills of practice nurses at baseline were abstracted from audio-taped consultations, which were assessed by Motivational Interviewing Treatment Integrity. Data of 2184 patients with established cardiovascular disease or at high cardiovascular risk were gathered at inclusion and at 6 months follow-up by a composite questionnaire. Multilevel regression analysis was applied, controlling for patient characteristics. RESULTS: Counselling skills of practice nurses were not associated with chronic illness care and patients' self-management scores. At follow-up, patients in the intervention group experienced less chronic illness care and were less activated in disease management than patients in the control group. The most important predictors were patients' age, gender and education level. CONCLUSIONS: The logic model underlying the implementation programme needs to be reconsidered, because patient perceptions were neither influenced by nurses' counselling skills nor by other components of the implementation programme.

Novel oral anticoagulants in primary care in patients with atrial fibrillation: a cross-sectional comparison before and after their introduction.

BACKGROUND: Novel oral anticoagulation (NOAC) has been introduced in recent years, but data on use in atrial fibrillation (AF) in primary care setting is scarce. In Germany, General Practitioners are free to choose type of oral anticoagulation (OAC) in AF. Our aim was to explore changes in prescription-rates of OAC in German primary care before and after introduction of NOAC on the market. METHODS: Data of a representative morbidity registration project in primary care in Germany (CONTENT) were analysed. Patients with AF in 2011 or 2014 were included (before and after broad market authorization of NOAC, respectively). We defined three independent groups: patients from 2011 without follow-up (group A), patients from 2014 but without previous record in 2011 (group B) and patients with AF and records in 2011 and 2014 (group C). RESULTS: 2642 patients were included. Group A (n = 804) and B (n = 755) were comparable regarding patient characteristics. 87.3% of group A and 84.8% of group B had CHA2DS2-VASc-Score ≥ 2, indicating a need for oral anticoagulation (OAC). Prescription of OAC increased from 23.1% (n = 186) to 42.8% (n = 323, p < .01) with stable use of vitamin-k-antagonist (22.6-24.9%). NOAC increased from 0.6 to 19.2% (p < .01). Monotherapy with Acetylsalicylic acid (ASA) decreased from 15.3% (n = 123) to 8.2% (n = 62, p < .01). In group C (n = 1083), OAC increased from 35.3 to 55.4% (p < .01), with stable prescription rate of vitamin-k-antagonist (34.4-35.7%). NOAC increased from 0.9 to 21.5% (p < .01). CONCLUSIONS: In summary, our study showed a significant increase of OAC over time, which is fostered by the use of NOAC but with a stable rate of VKA and a sharp decrease of ASA. Patients on VKA are rarely switched to NOAC, but new patients with AF are more likely to receive NOAC.

α-Blockers for uncomplicated ureteric stones: a clinical practice guideline.

OBJECTIVE: To develop an evidence-based recommendation concerning the use of α-blockers for uncomplicated ureteric stones based on an up-to-date Cochrane review, as the role of medical expulsive therapy for uncomplicated ureteric stones remains controversial in the light of new contradictory trial evidence. METHODS: We applied the Rapid Recommendations approach to guideline development, which represents an innovative approach by an international collaborative network of clinicians, researchers, methodologists and patient representatives seeking to rapidly respond to new, potentially practice-changing evidence with recommendations developed according to standards for trustworthy guidelines. RESULTS: The panel suggests the use of α-blockers in addition to standard care over standard care alone in patients with uncomplicated ureteric stones (weak recommendation based on low-quality evidence). The panel judged that the net benefit of α-blockers was small and that there was considerable uncertainty about patients' values and preferences. This means that the panel expects that most patients would choose treatment with α-blockers but that a substantial proportion would not. This recommendation applies to both patients in whom the presence of ureteric stones is confirmed by imaging, as well as patients in whom the diagnosis is made based on clinical grounds only. CONCLUSION: The Rapid Recommendations panel suggests the use of α-blockers for patients with ureteric stones. Shared decision-making is emphasised in making the final choice between the treatment options.

Social network composition of vascular patients and its associations with health behavior and clinical risk factors.

BACKGROUND: This study aimed to explore linkages of patients' social network composition with health behaviors and clinical risk factors. METHODS/DESIGN: This observational study was embedded in a project aimed at improving cardiovascular risk management (CRVM) in primary care. 657 vascular patients (227 with cardiovascular disease, 380 at high vascular risk), mean age 72.4 (SD 9.4) years, were recruited as were individuals patients considered important for dealing with their disease, so called alters (n = 487). Network composition was measured with structured patient questionnaires. Both patients and alters completed questionnaires to measure health behavior (habits for physical activity, diet, and smoking). Clinical risk factors (systolic blood pressure, LDL cholesterol level, and body mass index) were extracted from patients' medical records. Six logistic regression analyses, using generalized estimating equations, were used to test three hypothesized effects of network composition (having alters with healthful behaviors, without depression, and with specialized knowledge) on six outcomes, adjusted for demographic, personal and psychological characteristics. RESULTS: Having alters with overall healthful behavior was related to healthful patient diet (OR 2.14, 95%CI: 1.52-3.02). Having non-smoking alters in networks was related to reduced odds for patient smoking (OR 0.17, 95%CI: 0.05-0.60). No effects of presence of non-depressed alters were found. Presence of alters with specialized knowledge on CVRM was inversely related to healthful diet habits of patients (OR 0.47, 95%CI 0.24-0.89). No significant associations between social network composition and clinical risk factors were found. DISCUSSION: Diet and smoking, but not physical exercise and clinical risk factors, were associated with social network composition of patients with vascular conditions. In this study of vascular patients, controlling for both personal and psychological factors, fewer network influences were found compared to previous research. Further research is needed to examine network structure characteristics as well as the role of psychological factors to enhance understanding health behavior of patients involved in CVRM.

Information exchange networks of health care providers and evidence-based cardiovascular risk management: an observational study.

BACKGROUND: Although a wide range of preventive and clinical interventions has targeted cardiovascular risk management (CVRM), outcomes remain suboptimal. Therefore, the question is what additional determinants of CVRM and outcomes can be identified and addressed to optimize CVRM. In this study, we aimed to identify new perspectives for improving healthcare delivery and explored associations between information exchange networks of health care providers and evidence-based CVRM. METHODS: This observational study was performed parallel to a randomized clinical trial which aimed to improve professional performance of practice nurses in the Netherlands. Information exchange on medical policy for CVRM ("general information networks") and CVRM for individual patients ("specific information networks") of 180 health professionals in 31 general practices was measured with personalized questionnaires. Medical record audit was performed concerning 1620 patients in these practices to document quality of care delivery and two risk factors (systolic blood pressure (SBP) and LDL cholesterol level). Hypothesized effects of five network characteristics (density, frequency of contact, centrality of CVRM-coordinators, homophily on positive attitudes for treatment target achievement, and presence of an opinion leader for CVRM) constructed on both general and specific information exchange networks were tested and controlled for practice and patient factors using logistic multilevel analyses. RESULTS: Odds for adequate performance were enhanced in practices with an opinion leader for CVRM (OR 2.75, p < .05). Odds for achievement of SBP targets were reduced in practices who had networks with low homophily on positive attitudes for SBP and LDL targets (homophily for SBP targets OR 0.57, p < .05 and OR 0.60, p < .05, homophily for LDL targets OR 0.59, p < .05 and OR 0.61, p < .05 in general and specific information networks, respectively). No effects of network characteristics on cholesterol were found. CONCLUSIONS: Delivery of evidence-based CVRM is associated with homophily of clinical attitudes and presence of opinion leaders in primary care teams. These results signal the potential of social networks to be taken into account in further attempts to improve the implementation of evidence-based care for CVRM. Future research is needed to identify and formulate optimal strategies for using opinion leaders to improve CVRM. Future interventions may be more effective if they target a common vision on CVRM within practices.

Tailored implementation of cardiovascular risk management in general practice: a cluster randomized trial.

BACKGROUND: Counselling on health-related lifestyles is key to the prevention and management of chronic diseases. After comprehensive study of determinants of its delivery in general practice and strategies to improve, we composed a tailored improvement program, which included communication skills training, online patient information, and a clinical protocol for managing depressive symptoms. Our aim was to assess the effectiveness of this program on professional performance and outcomes in cardiovascular patients. METHODS: A two-arm cluster randomized trial in 34 general practices involving 34 nurses was conducted. The primary outcome was an aggregated score of a positive score on lifestyle counselling delivered and an appropriate action on depressive symptoms. Secondary outcomes included the various elements of the primary outcome, vascular risk factors (extracted from patient records), and patient-reported lifestyle behaviors. Data were collected from medical records and a written survey among included patients. RESULTS: A sample of 1782 patients with recorded cardiovascular disease or high cardiovascular risk was available at follow-up at 6 months. No impact on the primary outcome was found; lifestyle counselling was recorded in a minority of patients (11.4 % in the intervention group and 10.3 % in the control group). An effect was found on a secondary outcome: patients' physical activity level increased (B 0.18; 95 % CI 0.02-0.35) on a seven-point scale. CONCLUSIONS: The tailored improvement program showed no effect on the primary outcome. This challenges the methodology of tailoring. More involvement of the targeted health care professionals might offer ways to develop more effective implementation programs. Physical activity might be the lifestyle issue that can be more easily changed than smoking or dietary habits. TRIAL REGISTRATION: Nederlands Trial register NTR4069.

Medication management strategy for older people with polypharmacy in general practice: a qualitative study on prescribing behaviour in primary care.

BACKGROUND: For older patients with polypharmacy, medication management is a process of careful deliberation that needs periodic adjustment based on treatment effects and changing conditions. Because of the heterogeneity of the patient group, and limited applicability of current guidelines, it is difficult for GPs to build up a routine. AIM: To gain insight into GPs' medication management strategies for patients with polypharmacy, and to explore the GPs' perspectives and needs on decision-making support to facilitate this medication management. DESIGN AND SETTING: Two focus group meetings with Dutch GPs, discussing four clinical vignettes of patients with multimorbidity and polypharmacy. METHOD: Questions about medication management of the vignettes were answered individually; the strategy chosen in each case was discussed in plenary. Analysis followed a Framework approach. RESULTS: In total, 12 GPs described a similar strategy regarding the patients' medication management: defining treatment goals; determining primary goals; and adjusting medications based on the treatment effect, GPs' and patients' preferences, and patient characteristics. There was variation in the execution of this strategy between the GPs. The GPs would like to discuss their choices with other professionals and they valued structured medication reviews with the patient, as well as quick and practical support tools that work on demand. CONCLUSION: To facilitate decision making, a more extensive and structured collaboration between healthcare professionals is desired, as well as support to execute structured medication reviews with eligible patients, and some on-demand tools for individual consultations.

Effectiveness of a medication-adherence tool: study protocol for a randomized controlled trial.

BACKGROUND: Research shows that more than half of the people taking medication for a chronic condition are non-adherent. Nonadherence hinders disease control with a burden on patient quality of life and healthcare systems. We developed a tool that provides insight into nonadherence risks and barriers for medication-adherence including an intervention strategy to overcome those barriers. This study aims to assess the effectiveness of using this adherence tool in starters with cardiovascular or oral blood glucose-lowering medication to improve medication-adherence. METHODS/DESIGN: In a cluster-randomized controlled trial 25 pharmacies in the Netherlands will be randomized to the intervention or control arm. Patients registered in a general practice participating in a collaborative can be included when they start cardiovascular or oral blood glucose-lowering medication prescribed by their general practitioner. Participants complete an assessment consisting of measuring nonadherence risk and potential barriers to adherence. For patients with an increased nonadherence risk, a graphic barrier profile is created, showing to what extent eight cognitive, emotional, or practical barriers are present. All patients will fill in the medication-adherence assessment twice: between 1 and 2 weeks after the start of the medication and after 8 months. The intervention strategy consists of discussing this barrier profile to overcome barriers. Pharmacists and assistants of the intervention pharmacies are trained in discussing the profile and to offer a tailored intervention to overcome barriers. In the control arm, patients receive care as usual. The primary outcome is medication-adherence of patients with a high risk of nonadherence at 8 months follow-up. Secondary outcomes include the difference in the percentage of patients with an increased nonadherence risk between intervention and control group after 8 months, the predictive values of the baseline questionnaire in the control group in relation to medication-adherence after 8 months, medication-adherence after 1 year follow-up, and barriers and facilitators in the implementation of the tool. DISCUSSION: This manuscript presents the protocol for a cluster-randomized clinical trial on the use of an adherence tool to improve medication-adherence. This study will provide insight into the effectiveness of the tool in starters with cardiovascular or oral blood glucose-lowering medication in improvement of medication-adherence. TRIAL REGISTRATION: The Netherlands National Trial Register, NTR5186 . Registered on 18 May 2015.

Efficiency of the implementation of cardiovascular risk management in primary care practices: an observational study.

BACKGROUND: This study aimed to document the variation in technical efficiency of primary care (PC) practices in delivering evidence-based cardiovascular risk management (CVRM) and to identify associated factors. METHODS: This observational study was based on the follow-up measurements in a cluster randomized trial. Patients were recruited from 41 general practices in the Netherlands, involving 106 GPs and 1671 patients. Data on clinical performance were collected from patient records. The analysis focused on PC practices and used a two-stage data envelopment analysis (DEA) approach. Bias-corrected DEA technical efficiency scores for each PC practice were generated, followed by regression analysis with practice efficiency as outcomes and organizational features of general practice as predictors. RESULTS: Not all PC practices delivered recommended CVRM with the same technical efficiency; a significant difference from the efficient frontier was found (p < .000; 95 % CI 1.018-1.041). The variation in technical efficiency between PC practices was associated with training practice status (p = .026). Whether CVRM clinical tasks were performed by a practice nurse or a GP did not influence technical efficiency in a statistical significant way neither did practice size. CONCLUSIONS: Technical efficiency in delivering evidence-based CVRM increased with having a training practice status. Nurse involvement and practice size showed no statistical impact.

Effectiveness of personalised support for self-management in primary care: a cluster randomised controlled trial.

BACKGROUND: Self-management support is an important component of the clinical management of many chronic conditions. The validated Self-Management Screening questionnaire (SeMaS) assesses individual characteristics that influence a patient's ability to self-manage. AIM: To assess the effect of providing personalised self-management support in clinical practice on patients' activation and health-related behaviours. DESIGN AND SETTING: A cluster randomised controlled trial was conducted in 15 primary care group practices in the south of the Netherlands. METHOD: After attending a dedicated self-management support training session, practice nurses in the intervention arm discussed the results of SeMaS with the patient at baseline, and tailored the self-management support. Participants completed a 13-item Patient Activation Measure (PAM-13) and validated lifestyle questionnaires at baseline and after 6 months. Data, including individual care plans, referrals to self-management interventions, self-monitoring, and healthcare use, were extracted from patients' medical records. Multilevel multiple regression was used to assess the effect on outcomes. RESULTS: The PAM-13 score did not differ significantly between the control (n = 348) and intervention (n = 296) arms at 6 months. In the intervention arm, 29.4% of the patients performed self-monitoring, versus 15.2% in the control arm (effect size r = 0.9, P = 0.01). In the per protocol analysis (control n = 348; intervention n = 136), the effect of the intervention was significant on the number of individual care plans (effect size r = 1.3, P = 0.04) and on self-monitoring (effect size r = 1.0, P = 0.01). CONCLUSION: This study showed that discussing SeMaS and offering tailored support did not affect patient activation or lifestyle, but did stimulate patients to self-monitor and use individual care plans.

Community programmes for coronary heart disease in Spanish primary care.

OBJECTIVE: To explore the added value of community-orientated programmes aimed at enhancing healthy lifestyles associated with the key components of cardiovascular risk management (CVRM) in coronary heart disease (CHD) patients. METHODS: Observational study in Spain, including 36 practices, 36 health professionals, and 722 CHD patients (mean (SD) age 72 (11.73)). Our predictor variable of interest was reported deliveries from primary care practices (PCPs) concerning community-orientated programmes such as physical exercise and smoking cessation groups. Data were obtained through structured questionnaires administered to PCP health professionals. Our CVRM outcome measures were as follows: recorded risk factors, drug prescriptions, and intermediate patient outcomes (blood pressure levels, low-density lipoprotein cholesterol, and body mass index). RESULTS: Thirty practices delivered community programmes: most delivered one [17 (47.2%) practices] or two [11 (30.5%) practices]. These educational programmes aimed to encourage enhanced healthy lifestyles through group counselling sessions, mailed print material, and one-to-one counselling. In PCPs delivering community programmes, more patients received antihypertensives (89.7%), antiplatelet therapy (80.5%), and statins (70.8%) than those PCPs without programmes, although there were no statistically significant differences between them. CONCLUSIONS: No evidence was found for the added value of community-orientated CVRM programmes that could help health professionals refine criteria when including CHD patients in preventive programmes.

Social support and self-management capabilities in diabetes patients: An international observational study.

OBJECTIVE: The objective of this study was to explore which aspects of social networks are related to self-management capabilities and if these networks have the potential to reduce the adverse health effects of deprivation. METHODS: In a cross-sectional study we recruited type 2 diabetes patients in six European countries. Data on self-management capabilities was gathered through written questionnaires and data on social networks characteristics and social support through subsequent personal/telephone interviews. We used regression modelling to assess the effect of social support and education on self-management capabilities. RESULTS: In total 1692 respondents completed the questionnaire and the interview. Extensive informational networks, emotional networks, and attendance of community organisations were linked to better self-management capabilities. The association of self-management capabilities with informational support was especially strong in the low education group, whereas the association with emotional support was stronger in the high education group. CONCLUSION: Some of the social network characteristics showed a positive relation to self-management capabilities. The effect of informational support was strongest in low education populations and may therefore provide a possibility to reduce the adverse impact of low education on self-management capabilities. PRACTICE IMPLICATIONS: Self-management support interventions that take informational support in patients' networks into account may be most effective, especially in deprived populations.

Validation of Self-Management Screening (SeMaS), a tool to facilitate personalised counselling and support of patients with chronic diseases.

BACKGROUND: A rising number of people with chronic conditions is offered interventions to enhance self-management. The responsiveness of individuals to these interventions depends on patient characteristics. We aimed to develop and validate a tool to facilitate personalised counselling and support for self-management in patients with chronic diseases in primary care. METHODS: We drafted a prototype of the tool for Self-Management Screening (SeMaS), comprising 27 questions that were mainly derived from validated questionnaires. To reach high content validity, we performed a literature review and held focus groups with patients and healthcare professionals as input for the tool. The characteristics self-efficacy, locus of control, depression, anxiety, coping, social support, and perceived burden of disease were incorporated into the tool. Three items were added to guide the type of support or intervention, being computer skills, functioning in groups, and willingness to perform self-monitoring. Subsequently, the construct and criterion validity of the tool were investigated in a sample of 204 chronic patients from two primary care practices. Patients filled in the SeMaS and a set of validated questionnaires for evaluation of SeMaS. The Patient Activation Measure (PAM-13), a generic instrument to measure patient health activation, was used to test the convergent construct validity. RESULTS: Patients had a mean age of 66.8 years and 46.6 % was female. 5.9 % did not experience any barrier to self-management, 28.9 % experienced one minor or major barrier, and 30.4 % two minor or major barriers. Compared to the criterion measures, the positive predictive value of the SeMaS characteristics ranged from 41.5 to 77.8 % and the negative predictive value ranged from 53.3 to 99.4 %. Crohnbach's alpha for internal consistency ranged from 0.56 to 0.87, except for locus of control (α = 0.02). The regression model with PAM-13 as a dependent variable showed that the SeMaS explained 31.7 % (r(2) = 0.317) of the variance in the PAM-13 score. CONCLUSIONS: SeMaS is a short validated tool that can signal potential barriers for self-management that need to be addressed in the dialogue with the patient. As such it can be used to facilitate personalised counselling and support to enhance self-management in patients with chronic conditions in primary care.

Social Support and Health in Diabetes Patients: An Observational Study in Six European Countries in an Era of Austerity.

INTRODUCTION: Support from individual social networks, community organizations and neighborhoods is associated with better self-management and health outcomes. This international study examined the relative impact of different types of support on health and health-related behaviors in patients with type 2 diabetes. METHODS: Observational study (using interviews and questionnaires) in a sample of 1,692 type 2 diabetes patients with 5,433 connections from Bulgaria, Greece, Netherlands, Norway, Spain, and the United Kingdom. Outcomes were patient-reported health status (SF-12), physical exercise (RAPA), diet and smoking (SDCSCA). Random coefficient regression models were used to examine linkages with individual networks, community organizations, and neighborhood type (deprived rural, deprived urban, or affluent urban). RESULTS: Patients had a median of 3 support connections and 34.6% participated in community organizations. Controlled for patients' age, sex, education, income and comorbidities, large emotional support networks were associated with decrease of non-smoking (OR = 0.87). Large practical support networks were associated with worse physical and mental health (B = -0.46 and -0.27 respectively) and less physical activity (OR = 0.90). Participation in community organizations was associated with better physical and mental health (B = 1.39 and 1.22, respectively) and, in patients with low income, with more physical activity (OR = 1.53). DISCUSSION: Participation in community organizations was most consistently related to better health status. Many diabetes patients have individual support networks, but this study did not provide evidence to increase their size as a public health strategy. The consistent association between participation in community organizations and health status provides a clear target for interventions and policies.