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Background and objectives To understand the utility of glycated haemoglobin (HBA(1c)) in screening for diabetes and Abnormal Glucose Regulation (AGR) in primary care, we compared its performance to that of the fasting plasma glucose (FPG) test. Methods This was a prospective diagnostic accuracy study conducted in eastern Uganda. Patients eligible for inclusion were consecutive adults, 30-75 years, receiving care at the outpatient department of a general hospital in eastern Uganda. We determined the sensitivity, specificity and optimum cut-off points for HBA(1c) and FPG tests using the oral glucose tolerance test (OGTT) as a clinical reference standard. Results A total of 1659 participants underwent FPG testing of whom 310 were also HBA(1c) and OGTT tested. A total of 113 tested positive for diabetes and 168 for AGR on the OGTT. At recommended cut-off points for diabetes, the HBA(1c) and FPG tests had comparable sensitivity [69.8% (95% CI 46.3-86.1) versus 62.6% (95% CI 41.5-79.8), respectively] and specificity [98.6% (95% CI 95.4-99.6) versus 99.4% (95% CI 98.9-99.7), respectively]. Similarly, the sensitivity of HBA(1c) and the FPG tests for Abnormal Glucose Regulation (AGR) at ADA cut-offs were comparable [58.9% (95% CI 46.7-70.2) vs 47.7% (95% CI 37.3-58.4), respectively]; however, the HBA(1c) test had lower specificity [70.7% (95% CI 65.1-75.8)] than the FPG test [93.5% (95% CI 88.6-96.4)]. At the optimum cut-offs points for diabetes [45.0 mmol/mol (6.3%) for HBA(1c) and 6.4 mmol/L (115.2 mg/dl) for FPG], HBA(1c) and FPG sensitivity [71.2% (95% CI 46.9-87.8) versus 72.7% (95% CI 49.5-87.8), respectively] and specificity [95.1% (95% CI91.8 97.2) versus 98.7% (95% CI 98.0 99.2), respectively] were comparable. Similarly, at the optimum cut-off points for AGR [42.0 mmol/mol (6.0%) for the HBA(1c) and 5.5 mmol/l (99.0 mg/dl) for the FPG test], HBA(1c) and FPG sensitivity [42.3% (95% CI 31.8-53.6) and 53.2 (95% CI 43.1-63.1), respectively] and specificity [89.1% (95% C

Background and objectives To understand the utility of glycated haemoglobin (HBA(1c)) in screening for diabetes and Abnormal Glucose Regulation (AGR) in primary care, we compared its performance to that of the fasting plasma glucose (FPG) test. Methods This was a prospective diagnostic accuracy study conducted in eastern Uganda. Patients eligible for inclusion were consecutive adults, 30-75 years, receiving care at the outpatient department of a general hospital in eastern Uganda. We determined the sensitivity, specificity and optimum cut-off points for HBA(1c) and FPG tests using the oral glucose tolerance test (OGTT) as a clinical reference standard. Results A total of 1659 participants underwent FPG testing of whom 310 were also HBA(1c) and OGTT tested. A total of 113 tested positive for diabetes and 168 for AGR on the OGTT. At recommended cut-off points for diabetes, the HBA(1c) and FPG tests had comparable sensitivity [69.8% (95% CI 46.3-86.1) versus 62.6% (95% CI 41.5-79.8), respectively] and specificity [98.6% (95% CI 95.4-99.6) versus 99.4% (95% CI 98.9-99.7), respectively]. Similarly, the sensitivity of HBA(1c) and the FPG tests for Abnormal Glucose Regulation (AGR) at ADA cut-offs were comparable [58.9% (95% CI 46.7-70.2) vs 47.7% (95% CI 37.3-58.4), respectively]; however, the HBA(1c) test had lower specificity [70.7% (95% CI 65.1-75.8)] than the FPG test [93.5% (95% CI 88.6-96.4)]. At the optimum cut-offs points for diabetes [45.0 mmol/mol (6.3%) for HBA(1c) and 6.4 mmol/L (115.2 mg/dl) for FPG], HBA(1c) and FPG sensitivity [71.2% (95% CI 46.9-87.8) versus 72.7% (95% CI 49.5-87.8), respectively] and specificity [95.1% (95% CI91.8 97.2) versus 98.7% (95% CI 98.0 99.2), respectively] were comparable. Similarly, at the optimum cut-off points for AGR [42.0 mmol/mol (6.0%) for the HBA(1c) and 5.5 mmol/l (99.0 mg/dl) for the FPG test], HBA(1c) and FPG sensitivity [42.3% (95% CI 31.8-53.6) and 53.2 (95% CI 43.1-63.1), respectively] and specificity [89.1% (95% C

Background and objectives To understand the utility of glycated haemoglobin (HBA(1c)) in screening for diabetes and Abnormal Glucose Regulation (AGR) in primary care, we compared its performance to that of the fasting plasma glucose (FPG) test. Methods This was a prospective diagnostic accuracy study conducted in eastern Uganda. Patients eligible for inclusion were consecutive adults, 30-75 years, receiving care at the outpatient department of a general hospital in eastern Uganda. We determined the sensitivity, specificity and optimum cut-off points for HBA(1c) and FPG tests using the oral glucose tolerance test (OGTT) as a clinical reference standard. Results A total of 1659 participants underwent FPG testing of whom 310 were also HBA(1c) and OGTT tested. A total of 113 tested positive for diabetes and 168 for AGR on the OGTT. At recommended cut-off points for diabetes, the HBA(1c) and FPG tests had comparable sensitivity [69.8% (95% CI 46.3-86.1) versus 62.6% (95% CI 41.5-79.8), respectively] and specificity [98.6% (95% CI 95.4-99.6) versus 99.4% (95% CI 98.9-99.7), respectively]. Similarly, the sensitivity of HBA(1c) and the FPG tests for Abnormal Glucose Regulation (AGR) at ADA cut-offs were comparable [58.9% (95% CI 46.7-70.2) vs 47.7% (95% CI 37.3-58.4), respectively]; however, the HBA(1c) test had lower specificity [70.7% (95% CI 65.1-75.8)] than the FPG test [93.5% (95% CI 88.6-96.4)]. At the optimum cut-offs points for diabetes [45.0 mmol/mol (6.3%) for HBA(1c) and 6.4 mmol/L (115.2 mg/dl) for FPG], HBA(1c) and FPG sensitivity [71.2% (95% CI 46.9-87.8) versus 72.7% (95% CI 49.5-87.8), respectively] and specificity [95.1% (95% CI91.8 97.2) versus 98.7% (95% CI 98.0 99.2), respectively] were comparable. Similarly, at the optimum cut-off points for AGR [42.0 mmol/mol (6.0%) for the HBA(1c) and 5.5 mmol/l (99.0 mg/dl) for the FPG test], HBA(1c) and FPG sensitivity [42.3% (95% CI 31.8-53.6) and 53.2 (95% CI 43.1-63.1), respectively] and specificity [89.1% (95% C

Background and objectives To understand the utility of glycated haemoglobin (HBA(1c)) in screening for diabetes and Abnormal Glucose Regulation (AGR) in primary care, we compared its performance to that of the fasting plasma glucose (FPG) test. Methods This was a prospective diagnostic accuracy study conducted in eastern Uganda. Patients eligible for inclusion were consecutive adults, 30-75 years, receiving care at the outpatient department of a general hospital in eastern Uganda. We determined the sensitivity, specificity and optimum cut-off points for HBA(1c) and FPG tests using the oral glucose tolerance test (OGTT) as a clinical reference standard. Results A total of 1659 participants underwent FPG testing of whom 310 were also HBA(1c) and OGTT tested. A total of 113 tested positive for diabetes and 168 for AGR on the OGTT. At recommended cut-off points for diabetes, the HBA(1c) and FPG tests had comparable sensitivity [69.8% (95% CI 46.3-86.1) versus 62.6% (95% CI 41.5-79.8), respectively] and specificity [98.6% (95% CI 95.4-99.6) versus 99.4% (95% CI 98.9-99.7), respectively]. Similarly, the sensitivity of HBA(1c) and the FPG tests for Abnormal Glucose Regulation (AGR) at ADA cut-offs were comparable [58.9% (95% CI 46.7-70.2) vs 47.7% (95% CI 37.3-58.4), respectively]; however, the HBA(1c) test had lower specificity [70.7% (95% CI 65.1-75.8)] than the FPG test [93.5% (95% CI 88.6-96.4)]. At the optimum cut-offs points for diabetes [45.0 mmol/mol (6.3%) for HBA(1c) and 6.4 mmol/L (115.2 mg/dl) for FPG], HBA(1c) and FPG sensitivity [71.2% (95% CI 46.9-87.8) versus 72.7% (95% CI 49.5-87.8), respectively] and specificity [95.1% (95% CI91.8 97.2) versus 98.7% (95% CI 98.0 99.2), respectively] were comparable. Similarly, at the optimum cut-off points for AGR [42.0 mmol/mol (6.0%) for the HBA(1c) and 5.5 mmol/l (99.0 mg/dl) for the FPG test], HBA(1c) and FPG sensitivity [42.3% (95% CI 31.8-53.6) and 53.2 (95% CI 43.1-63.1), respectively] and specificity [89.1% (95% C

Background and objectives To understand the utility of glycated haemoglobin (HBA(1c)) in screening for diabetes and Abnormal Glucose Regulation (AGR) in primary care, we compared its performance to that of the fasting plasma glucose (FPG) test. Methods This was a prospective diagnostic accuracy study conducted in eastern Uganda. Patients eligible for inclusion were consecutive adults, 30-75 years, receiving care at the outpatient department of a general hospital in eastern Uganda. We determined the sensitivity, specificity and optimum cut-off points for HBA(1c) and FPG tests using the oral glucose tolerance test (OGTT) as a clinical reference standard. Results A total of 1659 participants underwent FPG testing of whom 310 were also HBA(1c) and OGTT tested. A total of 113 tested positive for diabetes and 168 for AGR on the OGTT. At recommended cut-off points for diabetes, the HBA(1c) and FPG tests had comparable sensitivity [69.8% (95% CI 46.3-86.1) versus 62.6% (95% CI 41.5-79.8), respectively] and specificity [98.6% (95% CI 95.4-99.6) versus 99.4% (95% CI 98.9-99.7), respectively]. Similarly, the sensitivity of HBA(1c) and the FPG tests for Abnormal Glucose Regulation (AGR) at ADA cut-offs were comparable [58.9% (95% CI 46.7-70.2) vs 47.7% (95% CI 37.3-58.4), respectively]; however, the HBA(1c) test had lower specificity [70.7% (95% CI 65.1-75.8)] than the FPG test [93.5% (95% CI 88.6-96.4)]. At the optimum cut-offs points for diabetes [45.0 mmol/mol (6.3%) for HBA(1c) and 6.4 mmol/L (115.2 mg/dl) for FPG], HBA(1c) and FPG sensitivity [71.2% (95% CI 46.9-87.8) versus 72.7% (95% CI 49.5-87.8), respectively] and specificity [95.1% (95% CI91.8 97.2) versus 98.7% (95% CI 98.0 99.2), respectively] were comparable. Similarly, at the optimum cut-off points for AGR [42.0 mmol/mol (6.0%) for the HBA(1c) and 5.5 mmol/l (99.0 mg/dl) for the FPG test], HBA(1c) and FPG sensitivity [42.3% (95% CI 31.8-53.6) and 53.2 (95% CI 43.1-63.1), respectively] and specificity [89.1% (95% C

Introduction: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. Methods: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. Results: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. Conclusions and recommendations: The community score cards created opportunities for co

Introduction: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. Methods: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. Results: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. Conclusions and recommendations: The community score cards created opportunities for co

Introduction: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. Methods: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. Results: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. Conclusions and recommendations: The community score cards created opportunities for co

Introduction: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. Methods: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. Results: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. Conclusions and recommendations: The community score cards created opportunities for co

Introduction: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. Methods: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. Results: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. Conclusions and recommendations: The community score cards created opportunities for co

Introduction: The community score card (CSC) is a participatory monitoring and evaluation tool that has been employed to strengthen the mutual accountability of health system and community actors. In this paper we describe the influence of the CSC on selected maternal and newborn service delivery and utilization indicators. Methods: This was a mixed methods study that used both quantitative and qualitative data collection methods. It was implemented in five sub-counties and one town council in Kibuku district in Uganda. Data was collected through 17 key informant interviews and 10 focus group discussions as well as CSC scoring and stakeholder meeting reports. The repeated measures ANOVA test was used to test for statistical significance. Qualitative data was analyzed manually using content analysis. The analysis about the change pathways was guided by the Wild and Harris dimensions of change framework. Results: There was an overall improvement in the common indicators across sub-counties in the project area between the 1st and 5th round scores. Almost all the red scores had changed to green or yellow by round five except for availability of drugs and mothers attending Antenatal care (ANC) in the first trimester. There were statistically significant differences in mean scores for men escorting their wives for ante natal care (ANC) (F(4,20) = 5.45, P = 0.01), availability of midwives (F(4,16) =5.77, P < 0.01), availability of delivery beds (F(4,12) =9.00, P < 0.01) and mothers delivering from traditional birth attendants (TBAs), F(4,16) = 3.86, p = 0.02). The qualitative findings suggest that strengthening of citizens' demand, availability of resources through collaborative problem solving, increased awareness about targeted maternal health services and increased top down performance pressure contributed to positive changes as perceived by community members and their leaders. Conclusions and recommendations: The community score cards created opportunities for co

Introduction Type 2 diabetes (T2D) is increasingly contributing to the global burden of disease. Health systems in most parts of the world are struggling to diagnose and manage T2D, especially in low-income and middle-income countries, and among disadvantaged populations in high-income countries. The aim of this study is to determine the added benefit of community interventions onto health facility interventions, towards glycaemic control among persons with diabetes, and towards reduction in plasma glucose among persons with prediabetes. Methods and analysis An adaptive implementation cluster randomised trial is being implemented in two rural districts in Uganda with three clusters per study arm, in an urban township in South Africa with one cluster per study arm, and in socially disadvantaged suburbs in Stockholm, Sweden with one cluster per study arm. Clusters are communities within the catchment areas of participating primary healthcare facilities. There are two study arms comprising a facility plus community interventions arm and a facility-only interventions arm. Uganda has a third arm comprising usual care. Intervention strategies focus on organisation of care, linkage between health facility and the community, and strengthening patient role in self-management, community mobilisation and a supportive environment. Among T2D participants, the primary outcome is controlled plasma glucose; whereas among prediabetes participants the primary outcome is reduction in plasma glucose. Ethics and dissemination The study has received approval in Uganda from the Higher Degrees, Research and Ethics Committee of Makerere University School of Public Health and from the Uganda National Council for Science and Technology; in South Africa from the Biomedical Science Research Ethics Committee of the University of the Western Cape; and in Sweden from the Regional Ethical Board in Stockholm. Findings will be disseminated through peer-reviewed publications and scientific meetings.

Introduction Type 2 diabetes (T2D) is increasingly contributing to the global burden of disease. Health systems in most parts of the world are struggling to diagnose and manage T2D, especially in low-income and middle-income countries, and among disadvantaged populations in high-income countries. The aim of this study is to determine the added benefit of community interventions onto health facility interventions, towards glycaemic control among persons with diabetes, and towards reduction in plasma glucose among persons with prediabetes. Methods and analysis An adaptive implementation cluster randomised trial is being implemented in two rural districts in Uganda with three clusters per study arm, in an urban township in South Africa with one cluster per study arm, and in socially disadvantaged suburbs in Stockholm, Sweden with one cluster per study arm. Clusters are communities within the catchment areas of participating primary healthcare facilities. There are two study arms comprising a facility plus community interventions arm and a facility-only interventions arm. Uganda has a third arm comprising usual care. Intervention strategies focus on organisation of care, linkage between health facility and the community, and strengthening patient role in self-management, community mobilisation and a supportive environment. Among T2D participants, the primary outcome is controlled plasma glucose; whereas among prediabetes participants the primary outcome is reduction in plasma glucose. Ethics and dissemination The study has received approval in Uganda from the Higher Degrees, Research and Ethics Committee of Makerere University School of Public Health and from the Uganda National Council for Science and Technology; in South Africa from the Biomedical Science Research Ethics Committee of the University of the Western Cape; and in Sweden from the Regional Ethical Board in Stockholm. Findings will be disseminated through peer-reviewed publications and scientific meetings.

Introduction Type 2 diabetes (T2D) is increasingly contributing to the global burden of disease. Health systems in most parts of the world are struggling to diagnose and manage T2D, especially in low-income and middle-income countries, and among disadvantaged populations in high-income countries. The aim of this study is to determine the added benefit of community interventions onto health facility interventions, towards glycaemic control among persons with diabetes, and towards reduction in plasma glucose among persons with prediabetes. Methods and analysis An adaptive implementation cluster randomised trial is being implemented in two rural districts in Uganda with three clusters per study arm, in an urban township in South Africa with one cluster per study arm, and in socially disadvantaged suburbs in Stockholm, Sweden with one cluster per study arm. Clusters are communities within the catchment areas of participating primary healthcare facilities. There are two study arms comprising a facility plus community interventions arm and a facility-only interventions arm. Uganda has a third arm comprising usual care. Intervention strategies focus on organisation of care, linkage between health facility and the community, and strengthening patient role in self-management, community mobilisation and a supportive environment. Among T2D participants, the primary outcome is controlled plasma glucose; whereas among prediabetes participants the primary outcome is reduction in plasma glucose. Ethics and dissemination The study has received approval in Uganda from the Higher Degrees, Research and Ethics Committee of Makerere University School of Public Health and from the Uganda National Council for Science and Technology; in South Africa from the Biomedical Science Research Ethics Committee of the University of the Western Cape; and in Sweden from the Regional Ethical Board in Stockholm. Findings will be disseminated through peer-reviewed publications and scientific meetings.

Introduction Type 2 diabetes (T2D) is increasingly contributing to the global burden of disease. Health systems in most parts of the world are struggling to diagnose and manage T2D, especially in low-income and middle-income countries, and among disadvantaged populations in high-income countries. The aim of this study is to determine the added benefit of community interventions onto health facility interventions, towards glycaemic control among persons with diabetes, and towards reduction in plasma glucose among persons with prediabetes. Methods and analysis An adaptive implementation cluster randomised trial is being implemented in two rural districts in Uganda with three clusters per study arm, in an urban township in South Africa with one cluster per study arm, and in socially disadvantaged suburbs in Stockholm, Sweden with one cluster per study arm. Clusters are communities within the catchment areas of participating primary healthcare facilities. There are two study arms comprising a facility plus community interventions arm and a facility-only interventions arm. Uganda has a third arm comprising usual care. Intervention strategies focus on organisation of care, linkage between health facility and the community, and strengthening patient role in self-management, community mobilisation and a supportive environment. Among T2D participants, the primary outcome is controlled plasma glucose; whereas among prediabetes participants the primary outcome is reduction in plasma glucose. Ethics and dissemination The study has received approval in Uganda from the Higher Degrees, Research and Ethics Committee of Makerere University School of Public Health and from the Uganda National Council for Science and Technology; in South Africa from the Biomedical Science Research Ethics Committee of the University of the Western Cape; and in Sweden from the Regional Ethical Board in Stockholm. Findings will be disseminated through peer-reviewed publications and scientific meetings.

Introduction Type 2 diabetes (T2D) is increasingly contributing to the global burden of disease. Health systems in most parts of the world are struggling to diagnose and manage T2D, especially in low-income and middle-income countries, and among disadvantaged populations in high-income countries. The aim of this study is to determine the added benefit of community interventions onto health facility interventions, towards glycaemic control among persons with diabetes, and towards reduction in plasma glucose among persons with prediabetes. Methods and analysis An adaptive implementation cluster randomised trial is being implemented in two rural districts in Uganda with three clusters per study arm, in an urban township in South Africa with one cluster per study arm, and in socially disadvantaged suburbs in Stockholm, Sweden with one cluster per study arm. Clusters are communities within the catchment areas of participating primary healthcare facilities. There are two study arms comprising a facility plus community interventions arm and a facility-only interventions arm. Uganda has a third arm comprising usual care. Intervention strategies focus on organisation of care, linkage between health facility and the community, and strengthening patient role in self-management, community mobilisation and a supportive environment. Among T2D participants, the primary outcome is controlled plasma glucose; whereas among prediabetes participants the primary outcome is reduction in plasma glucose. Ethics and dissemination The study has received approval in Uganda from the Higher Degrees, Research and Ethics Committee of Makerere University School of Public Health and from the Uganda National Council for Science and Technology; in South Africa from the Biomedical Science Research Ethics Committee of the University of the Western Cape; and in Sweden from the Regional Ethical Board in Stockholm. Findings will be disseminated through peer-reviewed publications and scientific meetings.

Background: Many approaches to improving health managers' capacity in poor countries, particularly those pursued by external agencies, employ non-participatory approaches and often seek to circumvent (rather than strengthen) weak public management structures. This limits opportunities for strengthening local health managers' capacity, improving resource utilisation and enhancing service delivery. This study explored the contribution of a participatory action research approach to strengthening health managers' capacity in Eastern Uganda. Methods: This was a qualitative study that used open-ended key informant interviews, combined with review of meeting minutes and observations to collect data. Both inductive and deductive thematic analysis was undertaken. The Competing Values Framework of organisational management functions guided the deductive process of analysis and the interpretation of the findings. The framework builds on four earlier models of management and regards them as complementary rather than conflicting, and identifies four managers' capacities (collaborate, create, compete and control) by categorising them along two axes, one contrasting flexibility versus control and the other internal versus external organisational focus. Results: The findings indicate that the participatory action research approach enhanced health managers' capacity to collaborate with others, be creative, attain goals and review progress. The enablers included expanded interaction spaces, encouragement of flexibility, empowerment of local managers, and the promotion of reflection and accountability. Tension and conflict across different management functions was apparent; for example, while there was a need to collaborate, maintaining control over processes was also needed. These tensions meant that managers needed to learn to simultaneously draw upon and use different capacities as reflected by the Competing Values Framework in order to maximise their effectiveness. Conclusions: Im, Supplement: 2

Background: Many approaches to improving health managers' capacity in poor countries, particularly those pursued by external agencies, employ non-participatory approaches and often seek to circumvent (rather than strengthen) weak public management structures. This limits opportunities for strengthening local health managers' capacity, improving resource utilisation and enhancing service delivery. This study explored the contribution of a participatory action research approach to strengthening health managers' capacity in Eastern Uganda. Methods: This was a qualitative study that used open-ended key informant interviews, combined with review of meeting minutes and observations to collect data. Both inductive and deductive thematic analysis was undertaken. The Competing Values Framework of organisational management functions guided the deductive process of analysis and the interpretation of the findings. The framework builds on four earlier models of management and regards them as complementary rather than conflicting, and identifies four managers' capacities (collaborate, create, compete and control) by categorising them along two axes, one contrasting flexibility versus control and the other internal versus external organisational focus. Results: The findings indicate that the participatory action research approach enhanced health managers' capacity to collaborate with others, be creative, attain goals and review progress. The enablers included expanded interaction spaces, encouragement of flexibility, empowerment of local managers, and the promotion of reflection and accountability. Tension and conflict across different management functions was apparent; for example, while there was a need to collaborate, maintaining control over processes was also needed. These tensions meant that managers needed to learn to simultaneously draw upon and use different capacities as reflected by the Competing Values Framework in order to maximise their effectiveness. Conclusions: Im, Supplement: 2

Background: Many approaches to improving health managers' capacity in poor countries, particularly those pursued by external agencies, employ non-participatory approaches and often seek to circumvent (rather than strengthen) weak public management structures. This limits opportunities for strengthening local health managers' capacity, improving resource utilisation and enhancing service delivery. This study explored the contribution of a participatory action research approach to strengthening health managers' capacity in Eastern Uganda. Methods: This was a qualitative study that used open-ended key informant interviews, combined with review of meeting minutes and observations to collect data. Both inductive and deductive thematic analysis was undertaken. The Competing Values Framework of organisational management functions guided the deductive process of analysis and the interpretation of the findings. The framework builds on four earlier models of management and regards them as complementary rather than conflicting, and identifies four managers' capacities (collaborate, create, compete and control) by categorising them along two axes, one contrasting flexibility versus control and the other internal versus external organisational focus. Results: The findings indicate that the participatory action research approach enhanced health managers' capacity to collaborate with others, be creative, attain goals and review progress. The enablers included expanded interaction spaces, encouragement of flexibility, empowerment of local managers, and the promotion of reflection and accountability. Tension and conflict across different management functions was apparent; for example, while there was a need to collaborate, maintaining control over processes was also needed. These tensions meant that managers needed to learn to simultaneously draw upon and use different capacities as reflected by the Competing Values Framework in order to maximise their effectiveness. Conclusions: Im, Supplement: 2

Background: Many approaches to improving health managers' capacity in poor countries, particularly those pursued by external agencies, employ non-participatory approaches and often seek to circumvent (rather than strengthen) weak public management structures. This limits opportunities for strengthening local health managers' capacity, improving resource utilisation and enhancing service delivery. This study explored the contribution of a participatory action research approach to strengthening health managers' capacity in Eastern Uganda. Methods: This was a qualitative study that used open-ended key informant interviews, combined with review of meeting minutes and observations to collect data. Both inductive and deductive thematic analysis was undertaken. The Competing Values Framework of organisational management functions guided the deductive process of analysis and the interpretation of the findings. The framework builds on four earlier models of management and regards them as complementary rather than conflicting, and identifies four managers' capacities (collaborate, create, compete and control) by categorising them along two axes, one contrasting flexibility versus control and the other internal versus external organisational focus. Results: The findings indicate that the participatory action research approach enhanced health managers' capacity to collaborate with others, be creative, attain goals and review progress. The enablers included expanded interaction spaces, encouragement of flexibility, empowerment of local managers, and the promotion of reflection and accountability. Tension and conflict across different management functions was apparent; for example, while there was a need to collaborate, maintaining control over processes was also needed. These tensions meant that managers needed to learn to simultaneously draw upon and use different capacities as reflected by the Competing Values Framework in order to maximise their effectiveness. Conclusions: Im, Supplement: 2

Background: Many approaches to improving health managers' capacity in poor countries, particularly those pursued by external agencies, employ non-participatory approaches and often seek to circumvent (rather than strengthen) weak public management structures. This limits opportunities for strengthening local health managers' capacity, improving resource utilisation and enhancing service delivery. This study explored the contribution of a participatory action research approach to strengthening health managers' capacity in Eastern Uganda. Methods: This was a qualitative study that used open-ended key informant interviews, combined with review of meeting minutes and observations to collect data. Both inductive and deductive thematic analysis was undertaken. The Competing Values Framework of organisational management functions guided the deductive process of analysis and the interpretation of the findings. The framework builds on four earlier models of management and regards them as complementary rather than conflicting, and identifies four managers' capacities (collaborate, create, compete and control) by categorising them along two axes, one contrasting flexibility versus control and the other internal versus external organisational focus. Results: The findings indicate that the participatory action research approach enhanced health managers' capacity to collaborate with others, be creative, attain goals and review progress. The enablers included expanded interaction spaces, encouragement of flexibility, empowerment of local managers, and the promotion of reflection and accountability. Tension and conflict across different management functions was apparent; for example, while there was a need to collaborate, maintaining control over processes was also needed. These tensions meant that managers needed to learn to simultaneously draw upon and use different capacities as reflected by the Competing Values Framework in order to maximise their effectiveness. Conclusions: Im, Supplement: 2