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Het bepalen van schades door inundatie is een belangrijk onderdeel van datagedreven waterveiligheid. Hiervoor bestaan er twee instrumenten: de WaterSchadeSchatter (WSS) en de Schade- en Slachtoffer Module (SSM). Beide instrumenten zijn vergeleken, waarbij duidelijke verschillen naar voren kwamen.

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Contains fulltext : 252138.pdf (Publisher’s version ) (Open Access), 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.

Radboud University, 23 april 2020, Promotores : Nijhuis-van der Sanden, M.W.G., Wensing, M.J.P. Co-promotores : Staal, J.B., Lieshout, J. van, Contains fulltext : 216170.pdf (publisher's version ) (Open Access)

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Contains fulltext : 208538.pdf (publisher's version ) (Open Access), 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.

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Contains fulltext : 170071.pdf (publisher's version ) (Open Access), 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 cholestero

Radboud University, 20 april 2017, Promotor : Wensing, M.J.P. Co-promotor : Lieshout, J. van, Contains fulltext : 169061.pdf (publisher's version ) (Open Access)

Radboud University, 1 juni 2017, Promotor : Wensing, M.J.P. Co-promotor : Lieshout, J. van, Contains fulltext : 173270.pdf (publisher's version ) (Open Access)

Contains fulltext : 177254.pdf (publisher's version ) (Open Access), 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 influe

Radboud University, 30 maart 2017, Promotor : Wensing, M.J.P. Co-promotores : Lieshout, J. van, Smeele, I.J.M., Contains fulltext : 166990.pdf (publisher's version ) (Open Access)

Radboud University, 09 november 2017, Promotor : Wensing, M.J.P. Co-promotor : Lieshout, J. van, Contains fulltext : 178243.pdf (publisher's version ) (Open Access)

Contains fulltext : 171266.pdf (publisher's version ) (Open Access), BACKGROUND: Although there is evidence that tailored implementation strategies can be effective, there is little evidence on which methods of tailoring improve the effect. We designed and evaluated five tailored programs (TPs) each consisting of various strategies. The aim of this study was to examine (a) how determinants of practice prioritized in the design phase of the TPs were perceived by health care professionals who had been exposed to the TPs and whether they suggested other important determinants of practice and (b) how professionals used the offered strategies and whether they suggested other strategies that might have been more effective. METHODS: We conducted a mixed-method process evaluation linked to five cluster-randomized trials carried out in five European countries to implement recommendations for five chronic conditions in primary care settings. The five TPs used a total of 28 strategies which aimed to address 38 determinants of practice. Interviews of professionals in the intervention groups and a survey of professionals in the intervention and control groups were performed. Data collection was conducted by each research team in the respective national language. The interview data were first analyzed inductively by each research team, and subsequently, a meta-synthesis was conducted. The survey was analyzed descriptively. RESULTS: We conducted 71 interviews; 125 professionals completed the survey. The survey showed that 76 % (n = 29) of targeted determinants of practice were perceived as relevant and 95 % (n = 36) as being modified by the implementation interventions by 66 to 100 % of professionals. On average, 47 % of professionals reported using the strategies and 51 % considered them helpful, albeit with substantial variance between countries and strategies. In the interviews, 89 determinants of practice were identified, of which 70 % (n = 62) had been identified and 45 % (n = 40) had been prioritized in the design phase. The interviewees sugg

Item does not contain fulltext, OBJECTIVE: The aim of this research was to assess the effect of providing personalised self-management support on patient activation (knowledge, skills, self-efficacy) and self-management behaviour. DESIGN: Cluster randomised trial in 15 general practices (Dutch Trial Register No.: NTR 3960). METHOD: Patients aged 18 years or older with a chronic condition were invited to participate in the study. The Self-Management Screening (SeMaS) questionnaire - which illustrates barriers to self-management - was used as a tool for personalised self-management support. Nurse practitioners in the intervention practices were trained for 2 hours in using SeMaS and personalising self-management support on the basis of the SeMaS profile. At baseline and after 6 months, patients filled in questionnaires on patient activation (PAM-13) and lifestyle. Using data from the questionnaires and medical records, the use of individual care plans, referrals to self-management interventions, self-monitoring and healthcare use were assessed. We used a multiple multilevel regression model for data analysis. Results : After 6 months, no difference was found in patient activation between the control group (n = 348) and the intervention group (n = 296). 29.4% of the patients in the intervention group performed self-monitoring, versus 15.2% in the control group (regression coefficient r = 0.9, p = 0.01). In the per-protocol analysis (control n = 348; intervention n = 136), the number of individual care plans (r = 1.3, p = 0.04) and the number of patients performing self-monitoring (r = 1.0; p = 0.01) were higher in the intervention group. CONCLUSION: Personalised self-management support with the use of the SeMaS method stimulates self-monitoring and the use of individual care plans. The intervention had no effect on patient activation or lifestyle. Given the positive secondary outcomes, the further potential of the tool should be researched.

Contains fulltext : 171265.pdf (publisher's version ) (Open Access), BACKGROUND: A tailored implementation programme to improve cardiovascular risk management (CVRM) in general practice had little impact on outcomes. The questions in this process evaluation concerned (1) impact on counselling skills and CVRM knowledge of practice nurses, (2) their use of the various components of the intervention programme and adoption of recommended practices and (3) patients' perceptions of counselling for CVRM. METHODS: A mixed-methods process evaluation was conducted. We assessed practice nurses' motivational interviewing skills on audio-taped consultations using Motivational Interviewing Treatment Integrity (MITI). They also completed a clinical knowledge test. Both practice nurses and patients reported on their experiences in a written questionnaire and interviews. A multilevel regression analysis and an independent sample t test were used to examine motivational interviewing skills and CVRM knowledge. Framework analysis was applied to analyse qualitative data. RESULTS: Data from 34 general practices were available, 19 intervention practices and 14 control practices. No improvements were measured on motivational interviewing skills in both groups. There appeared to be better knowledge of CVRM in the control group. On average half of the practice nurses indicated that they adopted the recommended interventions, but stated that they did not necessarily record this in patients' medical files. The tailored programme was perceived as too large. Time, follow-up support and reminders were felt to be lacking. About 20% of patients in the intervention group visited the general practice during the intervention period, yet only a small number of these patients were referred to recommended options. CONCLUSIONS: The tailored programme was only partly used by practice nurses and had little impact on either their clinical knowledge and communication skills or on patient reported healthcare. If the assumed logical model of change is valid, a more intensive pro

Contains fulltext : 172445.pdf (publisher's version ) (Open Access), 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.

Contains fulltext : 171522.pdf (Publisher’s version ) (Open Access), 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.

Contains fulltext : 170958.pdf (publisher's version ) (Closed access), 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.

Contains fulltext : 171616.pdf (publisher's version ) (Open Access), 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.

Item does not contain fulltext, 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. Copyright (c) 2014 John Wiley & Sons, Ltd.

Contains fulltext : 172424.pdf (publisher's version ) (Open Access), 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 grou

Item does not contain fulltext, 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.

In this thesis I will take a look at social practices using a model proposed by Dignum and Dignum [3]. With this model I will delve deeper in a single practice and look for possible inheritance when zoomed in. In the subsequent section that I will try to make a structure for a single practice going from an abstract level to a concrete practice and I will finally look at relations between different practices and how they influence each other. This is all done to start building a foundation from where others can build upon in an attempt to make a multi agent system which can survive in a social practice.

Contains fulltext : 152914.pdf (publisher's version ) (Open Access), 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 (alpha = 0.02). The regression model with PAM-13 as a dependent variable showed that the SeMaS explaine

Contains fulltext : 154970.pdf (publisher's version ) (Open Access), BACKGROUND: Practice accreditation is a widely used method to assess and improve the quality of healthcare services. In the Netherlands, a practice accreditation program was implemented in primary medical care. We aimed to identify determinants of impact of a practice accreditation program, building on the experiences of primary care professionals who had participated in this program. METHODS: An interview study was done to document the experiences of 33 participating primary care professionals and used to identify determinants of outcomes. The Consolidated Framework for Implementation Research (CFIR) was used as framework for the qualitative analysis. RESULTS: After analyzing 23 interviews saturation was reached. The practice accreditation program is based on structured quality improvement, but only some of its elements were identified as determinants of impact. Factors that were perceived to facilitate implementation of the program were: designating one person responsible for the program, ensuring clear lines of communication within the whole practice team and having affinity with or stimulate enthusiasm for improving quality of care. Contextual factors such as participation in a care group and being connected to the GP educational institute were important for actual change. The accreditation program was perceived to have positive effects on team climate and commitment to quality of care in the practice team. The perception was that patient care was not directly influenced by the accreditation program. Receiving a certificate for completing the accreditation program seemed to have little added value to participants. CONCLUSIONS: Practice accreditation may have positive outcomes on quality of care, but not all planned elements may contribute to its outcomes. Both factors in the accreditation process and in the context were perceived as determinants of quality improvement. The challenge is to build on facilitating factors, while reducing the elements of accreditatio

Contains fulltext : 153118.pdf (publisher's version ) (Open Access), BACKGROUND: Low participation rates reduce effective sample size, statistical power and can increase risk for selection bias. Previous research suggests that offering choice of participation mode can improve participation rates. However, few head-to-head trials compared choice of participation mode using telephone interviews and postal questionnaires as modes of interest. Aiming to explore effects of choice of participation, two randomized controlled trials were performed comparing participation rates of patients provided with and without choice of participation mode, using interviews and questionnaires as participation modes. METHODS: Two trials were embedded in a larger study on cardiovascular risk management in primary care. Patients with a chronic cardiovascular condition recruited for the larger study were invited to participate in an additional survey on social networks, using invitations with and without choice of participation mode. Primary outcome was participation rate. Other outcomes of interest were participation rate conditional on willingness to participate, and initial willingness to participate. In trial 1 we compared outcomes after choice of participation mode (interview or questionnaire) with invitations for participation in a telephone interview. In Trial 2 results for choice of participation mode were compared with postal questionnaires. RESULTS: In Trial 1 no differences were found in participation rates (65% vs 66%, p = 0.853) although conditional participation rate was highest for interviews (90% vs 72%, p < .01). Initial willingness to participate was higher when choice of participation mode was provided (90% versus 73%, p < .01). In Trial 2 participation rate and conditional participation rate was higher when choice of participation mode was provided (59% vs 46%, p < .01 and 66% vs 53%, p < .01, respectively). No differences were found for initial willingness to participate (90% vs 86%, p = 0.146). CONCLUSION: Offering choice of participatio

Item does not contain fulltext, BACKGROUND: Tailored intervention strategies are frequently recommended among approaches to the implementation of improvement in health professional performance. Attempts to change the behaviour of health professionals may be impeded by a variety of different barriers, obstacles, or factors (which we collectively refer to as determinants of practice). Change may be more likely if implementation strategies are specifically chosen to address these determinants. OBJECTIVES: To determine whether tailored intervention strategies are effective in improving professional practice and healthcare outcomes. We compared interventions tailored to address the identified determinants of practice with either no intervention or interventions not tailored to the determinants. SEARCH METHODS: We conducted searches of The Cochrane Library, MEDLINE, EMBASE, PubMed, CINAHL, and the British Nursing Index to May 2014. We conducted a final search in December 2014 (in MEDLINE only) for more recently published trials. We conducted searches of the metaRegister of Controlled Trials (mRCT) in March 2013. We also handsearched two journals. SELECTION CRITERIA: Cluster-randomised controlled trials (RCTs) of interventions tailored to address prospectively identified determinants of practice, which reported objectively measured professional practice or healthcare outcomes, and where at least one group received an intervention designed to address prospectively identified determinants of practice. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed quality and extracted data. We undertook qualitative and quantitative analyses, the quantitative analysis including two elements: we carried out 1) meta-regression analyses to compare interventions tailored to address identified determinants with either no interventions or an intervention(s) not tailored to the determinants, and 2) heterogeneity analyses to investigate sources of differences in the effectiveness of interventions. These in

Contains fulltext : 152573.pdf (publisher's version ) (Open Access), BACKGROUND: Although conditions for high quality cardiovascular risk management in primary care in the Netherlands are favourable, there still remains a gap between practice guideline recommendations and practice. The aim of the current study was to identify determinants of cardiovascular primary care in the Netherlands. METHODS: We performed a qualitative study, using semi-structured interviews with healthcare professionals and patients with established cardiovascular diseases or at high cardiovascular risk. A framework analysis was used to cluster the determinants into seven domains: 1) guideline factors, 2) individual healthcare professional factors, 3) patient factors, 4) professional interaction, 5) incentives and recourses, 6) mandate, authority and accountability, and 7) social, political and legal factors. RESULTS: Twelve healthcare professionals and 16 patients were interviewed. Healthcare professionals and patients mentioned a variety of factors concerning all seven domains. Determinants of practice according to the health care professionals were related to communication between healthcare professionals, patients' lack of knowledge and self-management, time management, market mechanisms in the Dutch healthcare system and motivational interviewing skills of healthcare professionals. Patients mentioned determinants related to their knowledge of risk factors for cardiovascular diseases, medication adherence and self-management as key determinants. A key finding is the mismatch between healthcare professionals' and patients' views on patient's knowledge and self-management. CONCLUSIONS: Perceived determinants of cardiovascular risk management were mainly related to patient behaviors and (but only for health professionals) to the healthcare system. Though health care professionals and patients agree upon the importance of patients' knowledge and self-management, their judgment of the current state of knowledge and self-management is entirely different.

Contains fulltext : 153982.PDF (publisher's version ) (Open Access), 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.

Radboud Universiteit Nijmegen, 26 februari 2015, Promotor : Wensing, M.J.P. Co-promotores : Lieshout, J. van, Braspenning, J.C.C., Contains fulltext : 135626.pdf (publisher's version ) (Open Access)

Contains fulltext : 152296.pdf (Publisher’s version ) (Open Access), OBJECTIVES: Monetary incentives can increase response rate in patient surveys, but calibration of the optimal incentive level is required. Our aim was to assess the effect of different monetary incentives on response rates to calibrate the optimal monetary incentive for ambulatory patients. STUDY DESIGN AND SETTING: A patient-randomized trial was performed in which targeted individuals received different gift vouchers (euro5.00, euro7.50, euro10.00, and euro12.50) on completion of a survey and interview. Eligible patients (diagnosed type 2 diabetes, over 18 years) were recruited from primary care practices. RESULTS: The response rate for the euro12.50 incentive was lower compared with both the euro7.50 and the euro10.00 incentive [odds ratio (OR) = 0.60 and OR = 0.58]. A nonlinear model yield a better fit than a linear model. Within the observed range of incentive levels, an overall decrease in response rate was found. CONCLUSION: High monetary incentives are not only inefficient but also less effective.

Item does not contain fulltext, OBJECTIVES: To explore nurse involvement in cardiovascular risk management (CVRM) in primary care and how this involvement was associated with the degree of structured chronic illness care. STUDY DESIGN: A cross-sectional observational study in 7 European countries. METHODS: Five aspects of nurse involvement in CVRM and 35 specific components of structured chronic illness care were documented in 202 primary care practices in Austria, Belgium, Germany, the Netherlands, Slovenia, Spain, and Switzerland. An overall measure for chronic care management, range 0 to 5, was constructed, derived from elements of the Chronic Care Model (CCM). Random coefficient regression modeling was used to explore associations. RESULTS: A majority of practices involved nurses for organization of CVRM in administrative tasks (82.2 %), risk factor monitoring (78.5%) and patient education (57.1%). Fewer practices involved nurses in defining protocol and the organization for CVRM (45%) or diagnosis and treatment (34.6%). With an increasing number of tasks handled by nurses, overall median adoption of CCM increased from 2.7 (95% CI, 1.5-3.6) to 4.2 (95% CI, 3.8-4.1). When the number of nurse tasks increased by 1, the adoption of CCM increased by 0.13 (P <.05; 95% CI, 0.03-0.22). Some practices with low nurse involvement had high adoption of CCM, while variation of adoption of CCM across practices reduced substantially with an increasing level of nurse involvement. CONCLUSIONS: Nurses were involved in the delivery of CVRM in varying degrees. Higher involvement of nurses was associated with higher degree of structured chronic illness care, with less variation.

Contains fulltext : 136842.pdf (publisher's version ) (Open Access), BACKGROUND: In recent years, preventive and clinical interventions for cardiovascular risk management have been implemented widely in primary care in the Netherlands. Although this has enhanced quality and outcomes of cardiovascular risk management, further improvement remains possible. In the planned observational study, we aim to examine the role of social networks of healthcare providers and patients in quality and outcomes of cardiovascular risk management. METHODS/DESIGN: In a longitudinal observational study, data on social networks of approximately 300 primary care providers from 30 general practices and 900 cardiovascular patients will be collected twice, with a six month interval, using a mix of measures. Social networks are documented with specifically designed questionnaires for patients, relatives, and healthcare professionals. For each included patient, we will extract from medical records to gather data on clinical processes and cardiovascular risk predictors. Data on self-management and psychosocial outcomes of patients will be collected using questionnaires for patients. The analysis focuses on identifying network characteristics, which are associated with (changes in) cardiovascular risk management or self-management. DISCUSSION: This research will provide insight into the role of social networks of patients and providers in cardiovascular risk management in primary practice. TRIAL REGISTRATION: Nederlands Trial Register NTR4069.

Item does not contain fulltext, BACKGROUND: Cardiovascular prevention can be provided to patients at different risk levels. The aim of this study was to compare the quality of cardiovascular prevention provided in European primary care between patients with diagnosed coronary heart disease (CHD) and individuals at high risk due to known risk factors but not labelled with a diagnosis of cardiovascular disease (CVD). Additionally, we aimed to identify individual and practice factors to predict risk factor control. METHODS: An international cross-sectional study was conducted in 10 European countries. Clinical record data were abstracted for quality indicators for 8928 patients in 10 countries and patient questionnaires were completed by 7846 patients in nine countries. Information about 320 general practices was assessed using practice questionnaires and interviews. Hierarchical multilevel modelling was used for analyses. RESULTS: Recording of risk factors and advice was higher in the CHD than in the high-risk group. Risk factor control was better in the CHD group: uncontrolled levels of blood pressure (34.2 vs. 49.3%; p < 0.001), cholesterol (32.4 vs. 64.5%; p < 0.001). Predictors of risk factor control were medication adherence (RR 0.97; p = 0.007) and health-related quality of life (RR 0.86; p = 0.005). Being at high risk (RR 1.42; p < 0.001), being single (RR 1.12; p < 0.001), and having lower educational level (RR 1.09; p < 0.001) were associated with poorer risk factor control. Practice factors were not associated with outcomes. CONCLUSIONS: Strategies to improve guidelines adherence in cardiovascular prevention may be stronger focused on individuals at risk before CVD is diagnosed and require organizational and political support to reinforce general practices.

Contains fulltext : 136843.pdf (publisher's version ) (Open Access), BACKGROUND: Long-term conditions pose major challenges for healthcare systems. Optimizing self-management of people with long-term conditions is an important strategy to improve quality of life, health outcomes, patient experiences in healthcare, and the sustainability of healthcare systems. Much research on self-management focuses on individual competencies, while the social systems of support that facilitate self-management are underexplored. The presented study aims to explore the role of social systems of support for self-management and quality of life, focusing on the social networks of people with diabetes and community organisations that serve them. METHODS: The protocol concerns a cross-sectional study in 18 geographic areas in six European countries, involving a total of 1800 individuals with diabetes and 900 representatives of community organisations. In each country, we include a deprived rural area, a deprived urban area, and an affluent urban area. Individuals are recruited through healthcare practices in the targeted areas. A patient questionnaire comprises measures for quality of life, self-management behaviours, social network and social support, as well as individual characteristics. A community organisations' survey maps out interconnections between community and voluntary organisations that support patients with chronic illness and documents the scope of work of the different types of organisations. We first explore the structure of social networks of individuals and of community organisations. Then linkages between these social networks, self-management and quality of life will be examined, taking deprivation and other factors into account. DISCUSSION: This study will provide insight into determinants of self-management and quality of life in individuals with diabetes, focusing on the role of social networks and community organisations.

Contains fulltext : 139096.pdf (publisher's version ) (Open Access), BACKGROUND: Accreditation of healthcare organizations is a widely used method to assess and improve quality of healthcare. Our aim was to determine the effectiveness of improvement plans in practice accreditation of primary care practices, focusing on cardiovascular risk management (CVRM). METHOD: A two-arm cluster randomized controlled trial with a block design was conducted with measurements at baseline and follow-up. Primary care practices allocated to the intervention group (n = 22) were instructed to focus improvement plans during the intervention period on CVRM, while practices in the control group (n = 23) could focus on any domain except on CVRM and diabetes mellitus. Primary outcomes were systolic blood pressure <140 mmHg, LDL cholesterol <2.5 mmol/l and prescription of antiplatelet drugs. Secondary outcomes were 17 indicators of CVRM and physician's perceived goal attainment for the chosen improvement project. RESULTS: No effect was found on the primary outcomes. Blood pressure targets were reached in 39.8% of patients in the intervention and 38.7% of patients in the control group; cholesterol target levels were reached in 44.5% and 49.0% respectively; antiplatelet drugs were prescribed in 82.7% in both groups. Six secondary outcomes improved: smoking status, exercise control, diet control, registration of alcohol intake, measurement of waist circumference, and fasting glucose. Participants' perceived goal attainment was high in both arms: mean scores of 7.9 and 8.2 on the 10-point scale. CONCLUSIONS: The focus of improvement plans on CVRM in the practice accreditation program led to some improvements of CVRM, but not on the primary outcomes. ClinicalTrials.gov NCT00791362.