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On 20 March 2015, Professor Johan Mackenbach of the Erasmus University Medical Centre was awarded a doctorate honoris causa by the Catholic University (Université Catholique) of Louvain, Belgium, for his outstanding contribution to the analysis of health inequalities in Europe and to the development of policies intended to address them. In this context, a debate took place between Professor Mackenbach, Professor Maniquet, a well-being economist, and a representative of the Federal Health Ministry (Mr. Brieuc Vandamme). They were asked to debate on three topics. (1) socio-economic inequalities in health are not smaller in countries with universal welfare policies; (2) Policies needs to target either absolute inequalities or relative inequalities; (3) The focus of policies should either address the social determinants of health or concentrate on access to health care. The results of the debate by the three speakers highlighted the fact that welfare systems have not been able to tackle diseases of affluence. Targets for health policies should be set according to opportunity cost: health care is increasingly costly and a focus on health inequalities above all other inequalities runs the risk of taking a dogmatic approach to well-being. Health is only one dimension of well-being and policies to address inequality need to balance preferences between several dimensions of well-being. Finally, policymakers may not have that much choice when it comes to reducing inequality: all effective policies should be implemented. For example, Belgium and other European countries should not leave aside health protection policies that are evidence-based, in particular taxes on tobacco and alcohol. In his final contribution, Professor Mackenbach reminded the audience that politics is medicine on a larger scale and stated that policymakers should make more use of research into public health.

On 20 March 2015, Professor Johan Mackenbach of the Erasmus University Medical Centre was awarded a doctorate honoris causa by the Catholic University (Université Catholique) of Louvain, Belgium, for his outstanding contribution to the analysis of health inequalities in Europe and to the development of policies intended to address them. In this context, a debate took place between Professor Mackenbach, Professor Maniquet, a well-being economist, and a representative of the Federal Health Ministry (Mr. Brieuc Vandamme). They were asked to debate on three topics. (1) socio-economic inequalities in health are not smaller in countries with universal welfare policies; (2) Policies needs to target either absolute inequalities or relative inequalities; (3) The focus of policies should either address the social determinants of health or concentrate on access to health care. The results of the debate by the three speakers highlighted the fact that welfare systems have not been able to tackle diseases of affluence. Targets for health policies should be set according to opportunity cost: health care is increasingly costly and a focus on health inequalities above all other inequalities runs the risk of taking a dogmatic approach to well-being. Health is only one dimension of well-being and policies to address inequality need to balance preferences between several dimensions of well-being. Finally, policymakers may not have that much choice when it comes to reducing inequality: all effective policies should be implemented. For example, Belgium and other European countries should not leave aside health protection policies that are evidence-based, in particular taxes on tobacco and alcohol. In his final contribution, Professor Mackenbach reminded the audience that politics is medicine on a larger scale and stated that policymakers should make more use of research into public health.

AbstractDrawing from transformational leadership (TFL) theory and research on contextual leadership, we examined a conditional process model of leadership in nursing teams to predict patient loyalty. Using TFL's individualized consideration dimension as a salient facet of the construct in care services, we first posited that nurses' team affective commitment would partially mediate the impact of nurse leadership. We further conceptualized nurse–physician collaboration, organizational formalization and task feedback as discrete contexts that may curb the influence of head nurses' individualized consideration. In a three‐wave, multisource and multilevel study, we surveyed 654 nurses and 1770 patients from 91 hospital units. We found that team‐level head nurses' individualized consideration positively and partially related to patient loyalty through nurses' team commitment and that higher levels of nurse–physician collaboration, organizational formalization and task feedback were associated with reduced influence of individualized consideration on team commitment and patient loyalty. We discuss the implications of these findings for advancing theory and research on TFL and contextual factors of leadership.

Background: Cervical cancer contributes to 6%–29% of the cancers in India. Although the Government of India in 2010 integrated cancer screening within the National Programme for the prevention of Non-communicable Diseases, only 22% of women aged 15–45 years had undergone examination of the cervix by 2016. This prompts the question regarding the organisation of the program's implementation and service delivery and regarding challenges that may explain poor screening uptake. Methods: Semi-structured interviews were held with program managers and implementers in seven districts of three selected States of India. The data analysis looked at program content, the organisation of screening delivery, and the challenges to the implementation of the program, considering six theoretically derived dimensions of public health capacity: leadership and governance, organisational structure, financial resources, workforce, partnerships, and knowledge development. Results: Participants perceive the existing capacities across the six domains as insufficient to implement the CCS program nationwide. A context specific implementation, a better coordination between the program and district health facilities, timely remuneration, better maintenance of data and a strong monitoring system are possible solutions to remove health system related barriers

Background: Cervical cancer contributes to 6%–29% of the cancers in India. Although the Government of India in 2010 integrated cancer screening within the National Programme for the prevention of Non-communicable Diseases, only 22% of women aged 15–45 years had undergone examination of the cervix by 2016. This prompts the question regarding the organisation of the program's implementation and service delivery and regarding challenges that may explain poor screening uptake. Methods: Semi-structured interviews were held with program managers and implementers in seven districts of three selected States of India. The data analysis looked at program content, the organisation of screening delivery, and the challenges to the implementation of the program, considering six theoretically derived dimensions of public health capacity: leadership and governance, organisational structure, financial resources, workforce, partnerships, and knowledge development. Results: Participants perceive the existing capacities across the six domains as insufficient to implement the CCS program nationwide. A context specific implementation, a better coordination between the program and district health facilities, timely remuneration, better maintenance of data and a strong monitoring system are possible solutions to remove health system related barriers

BACKGROUND: Despite being a key player in the healthcare system, training and practising general practice has become less attractive in many countries and is in need of reform. AIM: To identify political priorities for improving GPs' attraction to the profession and their retention within it. DESIGN AND SETTING: Stakeholder face-to-face survey in Belgium, 2008. METHOD: A total of 102 key stakeholders were recruited from policymakers, professional groups, academia, GP leaders, and the media. All interviewees were asked to score 23 policies on four criteria: effectiveness in attracting and retaining GPs, cost to society, acceptance by other health professionals, and accessibility of care. An overall performance score was computed (from -3 to +3) for each type of policy - training, financing, work-life balance, practice organisation, and governance - and for innovative versus conservative policies. RESULTS: Practice organisation policies and training policies received the highest scores (mean score ≥ 1.11). Financing policies, governance, and work-life balance policies scored poorly (mean score ≤ 0.65) because they had negative effects, particularly in relation to cost, acceptance, and accessibility of care. Stakeholders were keen on moving GPs towards team work, improving their role as care coordinator, and helping them to offload administrative tasks (score ≥ 1.4). They also favoured moves to increase the early and integrated exposure of all medical students to general practice. Overall, conservative policies were better scored than innovative ones (beta = -0.16, 95% confidence interval = -0.28 to -0.03). CONCLUSION:The reforming of general practice is made difficult by the small-step approach, as well as the importance of decision criteria related to cost, acceptance, and access.

BACKGROUND: Despite being a key player in the healthcare system, training and practising general practice has become less attractive in many countries and is in need of reform. AIM: To identify political priorities for improving GPs' attraction to the profession and their retention within it. DESIGN AND SETTING: Stakeholder face-to-face survey in Belgium, 2008. METHOD: A total of 102 key stakeholders were recruited from policymakers, professional groups, academia, GP leaders, and the media. All interviewees were asked to score 23 policies on four criteria: effectiveness in attracting and retaining GPs, cost to society, acceptance by other health professionals, and accessibility of care. An overall performance score was computed (from -3 to +3) for each type of policy - training, financing, work-life balance, practice organisation, and governance - and for innovative versus conservative policies. RESULTS: Practice organisation policies and training policies received the highest scores (mean score ≥ 1.11). Financing policies, governance, and work-life balance policies scored poorly (mean score ≤ 0.65) because they had negative effects, particularly in relation to cost, acceptance, and accessibility of care. Stakeholders were keen on moving GPs towards team work, improving their role as care coordinator, and helping them to offload administrative tasks (score ≥ 1.4). They also favoured moves to increase the early and integrated exposure of all medical students to general practice. Overall, conservative policies were better scored than innovative ones (beta = -0.16, 95% confidence interval = -0.28 to -0.03). CONCLUSION:The reforming of general practice is made difficult by the small-step approach, as well as the importance of decision criteria related to cost, acceptance, and access.

International audience ; Background: Most studies of chronic kidney disease (CKD) in Sub-Saharan Africa (SSA) have been conducted in urban settings. They relied on GFR estimated from serum creatinine alone and on the inexpensive, convenient urinary dipstick to assess proteinuria. The dipstick for proteinuria has not been directly compared with the gold standard albumin-to-creatinine ratio (ACR) in a large-sized study in SSA. We hereby assessed the influence of rural versus urban location on the level, interpretation, and diagnostic performance of proteinuria dipstick versus ACR. Methods: In a cross-sectional population-based study of CKD in both urban (n = 587) and rural (n = 730) settings in South-Kivu, Democratic Republic of Congo (DRC), we assessed the prevalence, performance (sensitivity, specificity, positive predictive value and negative predictive value) and determinants of a positive dipstick proteinuria as compared with albuminuria (ACR). Albuminuria was subdivided into: A1 (< 30 mg/g creatinine), A2 (30 to 299 mg/g creatinine) and A3 (≥ 300 mg/g creatinine). Results: The overall prevalence of positive dipstick proteinuria (≥ 1+) was 9.6 % (95 % CI, 7.9-11.3) and was higher in rural than in urban residents (13.1 % vs. 4.8 %, p < 0.001), whereas the prevalence of albuminuria (A2 or A3) was similar in both sites (6 % rural vs. 7.6 % urban, p = 0.31). In both sites, dipstick proteinuria ≥ 1 + had a poor sensitivity (< 50 %) and positive predictive value (< 11 %) for the detection of A2 or A3. The negative predictive value was 95 %. Diabetes [aOR 6.12 (1.52-24.53)] was a significant predictor of A3 whereas alkaline [aOR 7.45 (3.28-16.93)] and diluted urine [aOR 2.19 (1.35-3.57)] were the main predictors of positive dipstick proteinuria. Conclusions: ACR and dipstick proteinuria have similar positivity rates in the urban site whereas, in the rural site, dipstick was 2-fold more often positive than ACR. The poor sensitivity and positive predictive value of the dipstick as compared with ACR makes ...

International audience ; Background: Most studies of chronic kidney disease (CKD) in Sub-Saharan Africa (SSA) have been conducted in urban settings. They relied on GFR estimated from serum creatinine alone and on the inexpensive, convenient urinary dipstick to assess proteinuria. The dipstick for proteinuria has not been directly compared with the gold standard albumin-to-creatinine ratio (ACR) in a large-sized study in SSA. We hereby assessed the influence of rural versus urban location on the level, interpretation, and diagnostic performance of proteinuria dipstick versus ACR. Methods: In a cross-sectional population-based study of CKD in both urban (n = 587) and rural (n = 730) settings in South-Kivu, Democratic Republic of Congo (DRC), we assessed the prevalence, performance (sensitivity, specificity, positive predictive value and negative predictive value) and determinants of a positive dipstick proteinuria as compared with albuminuria (ACR). Albuminuria was subdivided into: A1 (< 30 mg/g creatinine), A2 (30 to 299 mg/g creatinine) and A3 (≥ 300 mg/g creatinine). Results: The overall prevalence of positive dipstick proteinuria (≥ 1+) was 9.6 % (95 % CI, 7.9-11.3) and was higher in rural than in urban residents (13.1 % vs. 4.8 %, p < 0.001), whereas the prevalence of albuminuria (A2 or A3) was similar in both sites (6 % rural vs. 7.6 % urban, p = 0.31). In both sites, dipstick proteinuria ≥ 1 + had a poor sensitivity (< 50 %) and positive predictive value (< 11 %) for the detection of A2 or A3. The negative predictive value was 95 %. Diabetes [aOR 6.12 (1.52-24.53)] was a significant predictor of A3 whereas alkaline [aOR 7.45 (3.28-16.93)] and diluted urine [aOR 2.19 (1.35-3.57)] were the main predictors of positive dipstick proteinuria. Conclusions: ACR and dipstick proteinuria have similar positivity rates in the urban site whereas, in the rural site, dipstick was 2-fold more often positive than ACR. The poor sensitivity and positive predictive value of the dipstick as compared with ACR makes ...

Most studies of chronic kidney disease (CKD) in Sub-Saharan Africa (SSA) have been conducted in urban settings. They relied on GFR estimated from serum creatinine alone and on the inexpensive, convenient urinary dipstick to assess proteinuria. The dipstick for proteinuria has not been directly compared with the gold standard albumin-to-creatinine ratio (ACR) in a large-sized study in SSA. We hereby assessed the influence of rural versus urban location on the level, interpretation, and diagnostic performance of proteinuria dipstick versus ACR. In a cross-sectional population-based study of CKD in both urban (n = 587) and rural (n = 730) settings in South-Kivu, Democratic Republic of Congo (DRC), we assessed the prevalence, performance (sensitivity, specificity, positive predictive value and negative predictive value) and determinants of a positive dipstick proteinuria as compared with albuminuria (ACR). Albuminuria was subdivided into: A1 (< 30 mg/g creatinine), A2 (30 to 299 mg/g creatinine) and A3 (≥ 300 mg/g creatinine). The overall prevalence of positive dipstick proteinuria (≥ 1+) was 9.6 % (95 % CI, 7.9-11.3) and was higher in rural than in urban residents (13.1 % vs. 4.8 %, p < 0.001), whereas the prevalence of albuminuria (A2 or A3) was similar in both sites (6 % rural vs. 7.6 % urban, p = 0.31). In both sites, dipstick proteinuria ≥ 1 + had a poor sensitivity (< 50 %) and positive predictive value (< 11 %) for the detection of A2 or A3. The negative predictive value was 95 %. Diabetes [aOR 6.12 (1.52-24.53)] was a significant predictor of A3 whereas alkaline [aOR 7.45 (3.28-16.93)] and diluted urine [aOR 2.19 (1.35-3.57)] were the main predictors of positive dipstick proteinuria. ACR and dipstick proteinuria have similar positivity rates in the urban site whereas, in the rural site, dipstick was 2-fold more often positive than ACR. The poor sensitivity and positive predictive value of the dipstick as compared with ACR makes it unattractive as a screening tool in community studies of CKD in SSA.

Most studies of chronic kidney disease (CKD) in Sub-Saharan Africa (SSA) have been conducted in urban settings. They relied on GFR estimated from serum creatinine alone and on the inexpensive, convenient urinary dipstick to assess proteinuria. The dipstick for proteinuria has not been directly compared with the gold standard albumin-to-creatinine ratio (ACR) in a large-sized study in SSA. We hereby assessed the influence of rural versus urban location on the level, interpretation, and diagnostic performance of proteinuria dipstick versus ACR. In a cross-sectional population-based study of CKD in both urban (n = 587) and rural (n = 730) settings in South-Kivu, Democratic Republic of Congo (DRC), we assessed the prevalence, performance (sensitivity, specificity, positive predictive value and negative predictive value) and determinants of a positive dipstick proteinuria as compared with albuminuria (ACR). Albuminuria was subdivided into: A1 (< 30 mg/g creatinine), A2 (30 to 299 mg/g creatinine) and A3 (≥ 300 mg/g creatinine). The overall prevalence of positive dipstick proteinuria (≥ 1+) was 9.6 % (95 % CI, 7.9-11.3) and was higher in rural than in urban residents (13.1 % vs. 4.8 %, p < 0.001), whereas the prevalence of albuminuria (A2 or A3) was similar in both sites (6 % rural vs. 7.6 % urban, p = 0.31). In both sites, dipstick proteinuria ≥ 1 + had a poor sensitivity (< 50 %) and positive predictive value (< 11 %) for the detection of A2 or A3. The negative predictive value was 95 %. Diabetes [aOR 6.12 (1.52-24.53)] was a significant predictor of A3 whereas alkaline [aOR 7.45 (3.28-16.93)] and diluted urine [aOR 2.19 (1.35-3.57)] were the main predictors of positive dipstick proteinuria. ACR and dipstick proteinuria have similar positivity rates in the urban site whereas, in the rural site, dipstick was 2-fold more often positive than ACR. The poor sensitivity and positive predictive value of the dipstick as compared with ACR makes it unattractive as a screening tool in community studies of CKD in SSA.

Most studies of chronic kidney disease (CKD) in Sub-Saharan Africa (SSA) have been conducted in urban settings. They relied on GFR estimated from serum creatinine alone and on the inexpensive, convenient urinary dipstick to assess proteinuria. The dipstick for proteinuria has not been directly compared with the gold standard albumin-to-creatinine ratio (ACR) in a large-sized study in SSA. We hereby assessed the influence of rural versus urban location on the level, interpretation, and diagnostic performance of proteinuria dipstick versus ACR. In a cross-sectional population-based study of CKD in both urban (n = 587) and rural (n = 730) settings in South-Kivu, Democratic Republic of Congo (DRC), we assessed the prevalence, performance (sensitivity, specificity, positive predictive value and negative predictive value) and determinants of a positive dipstick proteinuria as compared with albuminuria (ACR). Albuminuria was subdivided into: A1 (< 30 mg/g creatinine), A2 (30 to 299 mg/g creatinine) and A3 (≥ 300 mg/g creatinine). The overall prevalence of positive dipstick proteinuria (≥ 1+) was 9.6 % (95 % CI, 7.9-11.3) and was higher in rural than in urban residents (13.1 % vs. 4.8 %, p < 0.001), whereas the prevalence of albuminuria (A2 or A3) was similar in both sites (6 % rural vs. 7.6 % urban, p = 0.31). In both sites, dipstick proteinuria ≥ 1 + had a poor sensitivity (< 50 %) and positive predictive value (< 11 %) for the detection of A2 or A3. The negative predictive value was 95 %. Diabetes [aOR 6.12 (1.52-24.53)] was a significant predictor of A3 whereas alkaline [aOR 7.45 (3.28-16.93)] and diluted urine [aOR 2.19 (1.35-3.57)] were the main predictors of positive dipstick proteinuria. ACR and dipstick proteinuria have similar positivity rates in the urban site whereas, in the rural site, dipstick was 2-fold more often positive than ACR. The poor sensitivity and positive predictive value of the dipstick as compared with ACR makes it unattractive as a screening tool in community studies of CKD in SSA.

Most studies of chronic kidney disease (CKD) in Sub-Saharan Africa (SSA) have been conducted in urban settings. They relied on GFR estimated from serum creatinine alone and on the inexpensive, convenient urinary dipstick to assess proteinuria. The dipstick for proteinuria has not been directly compared with the gold standard albumin-to-creatinine ratio (ACR) in a large-sized study in SSA. We hereby assessed the influence of rural versus urban location on the level, interpretation, and diagnostic performance of proteinuria dipstick versus ACR. In a cross-sectional population-based study of CKD in both urban (n = 587) and rural (n = 730) settings in South-Kivu, Democratic Republic of Congo (DRC), we assessed the prevalence, performance (sensitivity, specificity, positive predictive value and negative predictive value) and determinants of a positive dipstick proteinuria as compared with albuminuria (ACR). Albuminuria was subdivided into: A1 (< 30 mg/g creatinine), A2 (30 to 299 mg/g creatinine) and A3 (≥ 300 mg/g creatinine). The overall prevalence of positive dipstick proteinuria (≥ 1+) was 9.6 % (95 % CI, 7.9-11.3) and was higher in rural than in urban residents (13.1 % vs. 4.8 %, p < 0.001), whereas the prevalence of albuminuria (A2 or A3) was similar in both sites (6 % rural vs. 7.6 % urban, p = 0.31). In both sites, dipstick proteinuria ≥ 1 + had a poor sensitivity (< 50 %) and positive predictive value (< 11 %) for the detection of A2 or A3. The negative predictive value was 95 %. Diabetes [aOR 6.12 (1.52-24.53)] was a significant predictor of A3 whereas alkaline [aOR 7.45 (3.28-16.93)] and diluted urine [aOR 2.19 (1.35-3.57)] were the main predictors of positive dipstick proteinuria. ACR and dipstick proteinuria have similar positivity rates in the urban site whereas, in the rural site, dipstick was 2-fold more often positive than ACR. The poor sensitivity and positive predictive value of the dipstick as compared with ACR makes it unattractive as a screening tool in community studies of CKD in SSA.

BACKGROUND: The prevalence of chronic kidney disease (CKD) in African American individuals is high but whether this applies to native populations in sub-Saharan Africa is unclear. METHODS: In a cross-sectional study, we assessed the prevalence and risk factors of CKD in rural and urban adults in South Kivu, Democratic Republic of Congo. Glomerular filtration rate (GFR) was estimated using the CKD-Epidemiology Collaboration (CKD-EPI) equations based on serum creatinine (eGFRcr), cystatin C (eGFRcys), or both markers (eGFRcr-cys), without ethnic correction factor. CKD was defined as an eGFR 11%), predominantly in the urban area, and largely driven by classic risk factors (gender, aging, HIV, hypertension, and diabetes).

BACKGROUND: The prevalence of chronic kidney disease (CKD) in African American individuals is high but whether this applies to native populations in sub-Saharan Africa is unclear. METHODS: In a cross-sectional study, we assessed the prevalence and risk factors of CKD in rural and urban adults in South Kivu, Democratic Republic of Congo. Glomerular filtration rate (GFR) was estimated using the CKD-Epidemiology Collaboration (CKD-EPI) equations based on serum creatinine (eGFRcr), cystatin C (eGFRcys), or both markers (eGFRcr-cys), without ethnic correction factor. CKD was defined as an eGFR 11%), predominantly in the urban area, and largely driven by classic risk factors (gender, aging, HIV, hypertension, and diabetes).