Marije Bosch
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Marije Bosch has a total of 21 co-authors. Here are the top co-authors by number of shared publications:
- Michel Wensing
Universitätsklinikum Heidelberg
4 shared publications - Richard Grol
Scientific Institute for Quality of Healthcare, Radboud University Nijmegen Medical Centre, PO Box 9101, 114, 6500 HB Nijmegen, the Netherlands
3 shared publications - Trudy van der Weijden
Department of Family Medicine, Care and Public Health Research Institute CAPHRI, Maastricht University, Maastricht, the Netherlands
3 shared publications - Jillian J. Francis
The University of Melbourne
2 shared publications - Marie Johnston
Aberdeen Health Psychology Group University of Aberdeen Aberdeen UK
2 shared publications - Martin P. Eccles
Institute of Health and Society, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
2 shared publications
Latest Publications
- Open Access
- 20 August 2012
- Published by Springer Nature in BMC Family Practice
- Vol. 13 (1) , 86
Heart failure patients’ experiences with continuity of care and its relation to medication adherence: a cross-sectional study
A growing number of health care providers are nowadays involved in heart failure care. This could lead to discontinuity and fragmentation of care, thus reducing trust and hence poorer medication adherence. This study aims to explore heart failure patients’ experiences with continuity of care, and its relation to medication adherence. We collected data from 327 primary care patients with chronic heart failure. Experienced continuity of care was measured using a patient questionnaire and by reviewing patients’ medical records. Continuity of care was defined as a multidimensional concept including personal continuity (seeing the same doctor every time), team continuity (collaboration between care providers in general practice) and cross-boundary continuity (collaboration between general practice and hospital). Medication adherence was measured using a validated patient questionnaire. The relation between continuity of care and medication adherence was analysed by using chi-square tests. In total, 53% of patients stated not seeing any care provider in general practice in the last year concerning their heart failure. Of the patients who did contact a care provider in general practice, 46% contacted two or more care providers. Respectively 38% and 51% of patients experienced the highest levels of team and cross-boundary continuity. In total, 14% experienced low levels of team continuity and 11% experienced low levels of cross-boundary continuity. Higher scores on personal continuity were significantly related to better medication adherence (p < 0.01). No clear relation was found between team- or cross-boundary continuity and medication adherence. A small majority of patients that contacted a care provider in general practice for their heart failure, contacted only one care provider. Most heart failure patients experienced high levels of collaboration between care providers in general practice and between GP and cardiologist. However, in a considerable number of patients, continuity of care could still be improved. Efforts to improve personal continuity may lead to better medication adherence.
- 20 August 2012
- Published by Springer Nature in BMC Family Practice
- Vol. 13 (1) , 86
Open AccessHeart failure patients’ experiences with continuity of care and its relation to medication adherence: a cross-sectional study
A growing number of health care providers are nowadays involved in heart failure care. This could lead to discontinuity and fragmentation of care, thus reducing trust and hence poorer medication adherence. This study aims to explore heart failure patients’ experiences with continuity of care, and its relation to medication adherence. We collected data from 327 primary care patients with chronic heart failure. Experienced continuity of care was measured using a patient questionnaire and by reviewing patients’ medical records. Continuity of care was defined as a multidimensional concept including personal continuity (seeing the same doctor every time), team continuity (collaboration between care providers in general practice) and cross-boundary continuity (collaboration between general practice and hospital). Medication adherence was measured using a validated patient questionnaire. The relation between continuity of care and medication adherence was analysed by using chi-square tests. In total, 53% of patients stated not seeing any care provider in general practice in the last year concerning their heart failure. Of the patients who did contact a care provider in general practice, 46% contacted two or more care providers. Respectively 38% and 51% of patients experienced the highest levels of team and cross-boundary continuity. In total, 14% experienced low levels of team continuity and 11% experienced low levels of cross-boundary continuity. Higher scores on personal continuity were significantly related to better medication adherence (p < 0.01). No clear relation was found between team- or cross-boundary continuity and medication adherence. A small majority of patients that contacted a care provider in general practice for their heart failure, contacted only one care provider. Most heart failure patients experienced high levels of collaboration between care providers in general practice and between GP and cardiologist. However, in a considerable number of patients, continuity of care could still be improved. Efforts to improve personal continuity may lead to better medication adherence.
- 18 March 2011
- Published by Wiley in Worldviews on Evidence-Based Nursing
- Vol. 8 (1) , 4-14
Organizational Culture, Team Climate, and Quality Management in an Important Patient Safety Issue: Nosocomial Pressure Ulcers
Background: Increasingly, policy reform in health care is discussed in terms of changing organizational culture, creating practice teams, and organizational quality management. Yet, the evidence for these suggested determinants of high‐quality care is inconsistent. Aims: To determine if the type of organizational culture (Competing Values Framework), team climate (Team Climate Inventory), and preventive pressure ulcer quality management at ward level were related to the prevalence of pressure ulcers. Also, we wanted to determine if the type of organizational culture, team climate, or the institutional quality management related to preventive quality management at the ward level. Methods: In this cross‐sectional observational study multivariate (logistic) regression analyses were performed, adjusting for potential confounders and institution‐level clustering. Data from 1,274 patients and 460 health care professionals in 37 general hospital wards and 67 nursing home wards in the Netherlands were analyzed. The main outcome measures were nosocomial pressure ulcers in patients at risk for pressure ulcers (Braden score ≤ 18) and preventive quality management at ward level. Results: No associations were found between organizational culture, team climate, or preventive quality management at the ward level and the prevalence of nosocomial pressure ulcers. Institutional quality management was positively correlated with preventive quality management at ward level (adj. β 0.32; p < 0.001). Conclusions and Implications: Although the prevalence of nosocomial pressure ulcers varied considerably across wards, it did not relate to organizational culture, team climate, or preventive quality management at the ward level. These results would therefore not subscribe the widely suggested importance of these factors in improving health care. However, different designs and research methods (that go beyond the cross‐sectional design) may be more informative in studying relations between such complex factors and outcomes in a more meaningful way.
- 18 March 2011
- Published by Wiley in Worldviews on Evidence-Based Nursing
- Vol. 8 (1) , 4-14
Organizational Culture, Team Climate, and Quality Management in an Important Patient Safety Issue: Nosocomial Pressure Ulcers
Background: Increasingly, policy reform in health care is discussed in terms of changing organizational culture, creating practice teams, and organizational quality management. Yet, the evidence for these suggested determinants of high‐quality care is inconsistent. Aims: To determine if the type of organizational culture (Competing Values Framework), team climate (Team Climate Inventory), and preventive pressure ulcer quality management at ward level were related to the prevalence of pressure ulcers. Also, we wanted to determine if the type of organizational culture, team climate, or the institutional quality management related to preventive quality management at the ward level. Methods: In this cross‐sectional observational study multivariate (logistic) regression analyses were performed, adjusting for potential confounders and institution‐level clustering. Data from 1,274 patients and 460 health care professionals in 37 general hospital wards and 67 nursing home wards in the Netherlands were analyzed. The main outcome measures were nosocomial pressure ulcers in patients at risk for pressure ulcers (Braden score ≤ 18) and preventive quality management at ward level. Results: No associations were found between organizational culture, team climate, or preventive quality management at the ward level and the prevalence of nosocomial pressure ulcers. Institutional quality management was positively correlated with preventive quality management at ward level (adj. β 0.32; p < 0.001). Conclusions and Implications: Although the prevalence of nosocomial pressure ulcers varied considerably across wards, it did not relate to organizational culture, team climate, or preventive quality management at the ward level. These results would therefore not subscribe the widely suggested importance of these factors in improving health care. However, different designs and research methods (that go beyond the cross‐sectional design) may be more informative in studying relations between such complex factors and outcomes in a more meaningful way.
- Open Access
- 5 August 2009
- Published by Springer Nature in BMC Health Services Research
- Vol. 9 (1) , 140
Using psychological theory to understand the clinical management of type 2 diabetes in Primary Care: a comparison across two European countries
Long term management of patients with Type 2 diabetes is well established within Primary Care. However, despite extensive efforts to implement high quality care both service provision and patient health outcomes remain sub-optimal. Several recent studies suggest that psychological theories about individuals' behaviour can provide a valuable framework for understanding generalisable factors underlying health professionals' clinical behaviour. In the context of the team management of chronic disease such as diabetes, however, the application of such models is less well established. The aim of this study was to identify motivational factors underlying health professional teams' clinical management of diabetes using a psychological model of human behaviour.
- 5 August 2009
- Published by Springer Nature in BMC Health Services Research
- Vol. 9 (1) , 140
Open AccessUsing psychological theory to understand the clinical management of type 2 diabetes in Primary Care: a comparison across two European countries
Long term management of patients with Type 2 diabetes is well established within Primary Care. However, despite extensive efforts to implement high quality care both service provision and patient health outcomes remain sub-optimal. Several recent studies suggest that psychological theories about individuals' behaviour can provide a valuable framework for understanding generalisable factors underlying health professionals' clinical behaviour. In the context of the team management of chronic disease such as diabetes, however, the application of such models is less well established. The aim of this study was to identify motivational factors underlying health professional teams' clinical management of diabetes using a psychological model of human behaviour.
- Open Access
- 19 June 2009
- Published by Springer Nature in BMC Health Services Research
- Vol. 9 (1) , 1-8
Structured chronic primary care and health-related quality of life in chronic heart failure
Structured care is proposed as a lever for improving care for patients with chronic conditions. The purpose of this study was to explore the associations of structured care characteristics, derived from the Chronic Care Model, with health-related quality of life (HRQOL) and optimal clinical management in chronic heart failure (CHF) patients in primary care, as well as the association between optimal management and HRQOL. Cross-sectional observational study using multi-level random-coefficient analyses of a representative sample of 357 patients diagnosed with CHF from 42 primary care practices in the Netherlands. We combined individual medical record data with patient and physician questionnaires. There was large variation in the levels and presence of structured care elements. A 91% of physicians indicated that next appointments for CHF patients were made immediately after visits, while 11% indicated that reminders on CHF management were periodically received in their practice. Few associations were found between the organizational characteristics and optimal treatment or HRQOL. Optimal pharmacological treatment related to better quality of life (β = -11.5, P < .0001). Also, more lifestyle advice was given in practices with an appointment system allowing contact with more than one professional during the encounter (β = 1.0, P = .04). HRQOL and treatment quality in CHF patients were not consistently associated with characteristics of structured care in primary care practices.
- 19 June 2009
- Published by Springer Nature in BMC Health Services Research
- Vol. 9 (1) , 1-8
Open AccessStructured chronic primary care and health-related quality of life in chronic heart failure
Structured care is proposed as a lever for improving care for patients with chronic conditions. The purpose of this study was to explore the associations of structured care characteristics, derived from the Chronic Care Model, with health-related quality of life (HRQOL) and optimal clinical management in chronic heart failure (CHF) patients in primary care, as well as the association between optimal management and HRQOL. Cross-sectional observational study using multi-level random-coefficient analyses of a representative sample of 357 patients diagnosed with CHF from 42 primary care practices in the Netherlands. We combined individual medical record data with patient and physician questionnaires. There was large variation in the levels and presence of structured care elements. A 91% of physicians indicated that next appointments for CHF patients were made immediately after visits, while 11% indicated that reminders on CHF management were periodically received in their practice. Few associations were found between the organizational characteristics and optimal treatment or HRQOL. Optimal pharmacological treatment related to better quality of life (β = -11.5, P < .0001). Also, more lifestyle advice was given in practices with an appointment system allowing contact with more than one professional during the encounter (β = 1.0, P = .04). HRQOL and treatment quality in CHF patients were not consistently associated with characteristics of structured care in primary care practices.
- Open Access
- 5 May 2009
- Published by Springer Nature in Implementation Science
- Vol. 4 (1) , 24
Can the collective intentions of individual professionals within healthcare teams predict the team's performance: developing methods and theory
Within implementation research, using theory-based approaches to understanding the behaviours of healthcare professionals and the quality of care that they reflect and designing interventions to change them is being promoted. However, such approaches lead to a new range of methodological and theoretical challenges pre-eminent among which are how to appropriately relate predictors of individual's behaviour to measures of the behaviour of healthcare professionals. The aim of this study was to explore the relationship between the theory of planned behaviour proximal predictors of behaviour (intention and perceived behavioural control, or PBC) and practice level behaviour. This was done in the context of two clinical behaviours – statin prescription and foot examination – in the management of patients with diabetes mellitus in primary care. Scores for the predictor variables were aggregated over healthcare professionals using four methods: simple mean of all primary care team members' intention scores; highest intention score combined with PBC of the highest intender in the team; highest intention score combined with the highest PBC score in the team; the scores (on both constructs) of the team member identified as having primary responsibility for the clinical behaviour.
- 5 May 2009
- Published by Springer Nature in Implementation Science
- Vol. 4 (1) , 24
Open AccessCan the collective intentions of individual professionals within healthcare teams predict the team's performance: developing methods and theory
Within implementation research, using theory-based approaches to understanding the behaviours of healthcare professionals and the quality of care that they reflect and designing interventions to change them is being promoted. However, such approaches lead to a new range of methodological and theoretical challenges pre-eminent among which are how to appropriately relate predictors of individual's behaviour to measures of the behaviour of healthcare professionals. The aim of this study was to explore the relationship between the theory of planned behaviour proximal predictors of behaviour (intention and perceived behavioural control, or PBC) and practice level behaviour. This was done in the context of two clinical behaviours – statin prescription and foot examination – in the management of patients with diabetes mellitus in primary care. Scores for the predictor variables were aggregated over healthcare professionals using four methods: simple mean of all primary care team members' intention scores; highest intention score combined with PBC of the highest intender in the team; highest intention score combined with the highest PBC score in the team; the scores (on both constructs) of the team member identified as having primary responsibility for the clinical behaviour.
- Open Access
- 21 August 2008
- Published by Springer Nature in BMC Health Services Research
- Vol. 8 (1) , 1-8
Organizational culture, team climate and diabetes care in small office-based practices
Redesigning care has been proposed as a lever for improving chronic illness care. Within primary care, diabetes care is the most widespread example of restructured integrated care. Our goal was to assess to what extent important aspects of restructured care such as multidisciplinary teamwork and different types of organizational culture are associated with high quality diabetes care in small office-based general practices. We conducted cross-sectional analyses of data from 83 health care professionals involved in diabetes care from 30 primary care practices in the Netherlands, with a total of 752 diabetes mellitus type II patients participating in an improvement study. We used self-reported measures of team climate (Team Climate Inventory) and organizational culture (Competing Values Framework), and measures of quality of diabetes care and clinical patient characteristics from medical records and self-report. We conducted multivariate analyses of the relationship between culture, climate and HbA1c, total cholesterol, systolic blood pressure and a sum score on process indicators for the quality of diabetes care, adjusting for potential patient- and practice level confounders and practice-level clustering. A strong group culture was negatively associated to the quality of diabetes care provided to patients (β = -0.04; p = 0.04), whereas a more 'balanced culture' was positively associated to diabetes care quality (β = 5.97; p = 0.03). No associations were found between organizational culture, team climate and clinical patient outcomes. Although some significant associations were found between high quality diabetes care in general practice and different organizational cultures, relations were rather marginal. Variation in clinical patient outcomes could not be attributed to organizational culture or teamwork. This study therefore contributes to the discussion about the legitimacy of the widespread idea that aspects of redesigning care such as teamwork and culture can contribute to higher quality of care. Future research should preferably combine quantitative and qualitative methods, focus on possible mediating or moderating factors and explore the use of instruments more sensitive to measure such complex constructs in small office-based practices.
- 21 August 2008
- Published by Springer Nature in BMC Health Services Research
- Vol. 8 (1) , 1-8
Open AccessOrganizational culture, team climate and diabetes care in small office-based practices
Redesigning care has been proposed as a lever for improving chronic illness care. Within primary care, diabetes care is the most widespread example of restructured integrated care. Our goal was to assess to what extent important aspects of restructured care such as multidisciplinary teamwork and different types of organizational culture are associated with high quality diabetes care in small office-based general practices. We conducted cross-sectional analyses of data from 83 health care professionals involved in diabetes care from 30 primary care practices in the Netherlands, with a total of 752 diabetes mellitus type II patients participating in an improvement study. We used self-reported measures of team climate (Team Climate Inventory) and organizational culture (Competing Values Framework), and measures of quality of diabetes care and clinical patient characteristics from medical records and self-report. We conducted multivariate analyses of the relationship between culture, climate and HbA1c, total cholesterol, systolic blood pressure and a sum score on process indicators for the quality of diabetes care, adjusting for potential patient- and practice level confounders and practice-level clustering. A strong group culture was negatively associated to the quality of diabetes care provided to patients (β = -0.04; p = 0.04), whereas a more 'balanced culture' was positively associated to diabetes care quality (β = 5.97; p = 0.03). No associations were found between organizational culture, team climate and clinical patient outcomes. Although some significant associations were found between high quality diabetes care in general practice and different organizational cultures, relations were rather marginal. Variation in clinical patient outcomes could not be attributed to organizational culture or teamwork. This study therefore contributes to the discussion about the legitimacy of the widespread idea that aspects of redesigning care such as teamwork and culture can contribute to higher quality of care. Future research should preferably combine quantitative and qualitative methods, focus on possible mediating or moderating factors and explore the use of instruments more sensitive to measure such complex constructs in small office-based practices.