Browsing by Author "Mayega, Roy William"
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Item Comparison of fasting plasma glucose and haemoglobin A1c point-of-care tests in screening for diabetes and abnormal glucose regulation in a rural low income setting(Diabetes Research and Clinical Practice, 2014) Mayega, Roy William; Guwatudde, David; Makumbi, Fredrick Edward; Nakwagala, Frederick Nelson; Peterson, Stefan; Tomson, Goran; Ostenson, Claes-GoranGlycated haemoglobin (HbA1C) has been suggested to replace glucose tests in identifying diabetes and pre-diabetes. We assessed agreement between fasting plasma glucose (FPG) and HbA1C rapid tests in classifying abnormal glucose regulation (AGR), and their utility for preventive screening in rural Africa. Methods: A population-based survey of 795 people aged 35–60 years was conducted in a mainly rural district in Uganda. FPG was measured using On-Call1 Plus glucometers, and classified using World Health Organization (WHO) and American Diabetes Association (ADA) criteria. HbA1C was measured using A1cNow1 kits and classified using ADA criteria. Body mass index and blood pressure were measured. Percentage agreement between the two tests was computed. Results: Using HbA1C, 11.3% of participants had diabetes compared with 4.8% for FPG. Prevalence of HbA1C-defined pre-diabetes (26.4%) was 1.2 times and 2.5 times higher than FPG-defined pre-diabetes using ADA (21.8%) and WHO (10.1%) criteria, respectively. With FPG as the reference, agreement between FPG and HbA1C in classifying diabetes status was moderate (Kappa = 22.9; Area Under the Curve (AUC) = 75%), while that for AGR was low (Kappa = 11.0; AUC = 59%). However, agreement was high (over 90%) among negative tests and among participants with risk factors for type 2 diabetes (obesity, overweight or hypertension). HbA1C had more procedural challenges than FPG.Item Diabetes and Pre-Diabetes among Persons Aged 35 to 60 Years in Eastern Uganda: Prevalence and Associated Factors(PLoS ONE, 2013) Mayega, Roy William; Guwatudde, David; Makumbi, Fredrick; Nakwagala, Frederick Nelson; Peterson, Stefan; Tomson, Goran; Ostenson, Claes-GoranOur aim was to estimate the prevalence of abnormal glucose regulation (AGR) (i.e. diabetes and prediabetes) and its associated factors among people aged 35-60 years so as to clarify the relevance of targeted screening in rural Africa. Methods: A population-based survey of 1,497 people (786 women and 711 men) aged 35-60 years was conducted in a predominantly rural Demographic Surveillance Site in eastern Uganda. Participants responded to a lifestyle questionnaire, following which their Body Mass Index (BMI) and Blood Pressure (BP) were measured. Fasting plasma glucose (FPG) was measured from capillary blood using On-Call® Plus (Acon) rapid glucose meters, following overnight fasting. AGR was defined as FPG ≥6.1mmol L-1 (World Health Organization (WHO) criteria or ≥5.6mmol L-1 (American Diabetes Association (ADA) criteria. Diabetes was defined as FPG >6.9mmol L-1, or being on diabetes treatment. Results: The mean age of participants was 45 years for men and 44 for women. Prevalence of diabetes was 7.4% (95%CI 6.1-8.8), while prevalence of pre-diabetes was 8.6% (95%CI 7.3-10.2) using WHO criteria and 20.2% (95%CI 17.5-22.9) with ADA criteria. Using WHO cut-offs, the prevalence of AGR was 2 times higher among obese persons compared with normal BMI persons (Adjusted Prevalence Rate Ratio (APRR) 1.9, 95%CI 1.3-2.8). Occupation as a mechanic, achieving the WHO recommended physical activity threshold, and higher dietary diversity were associated with lower likelihood of AGR (APRR 0.6, 95%CI 0.4-0.9; APRR 0.6, 95%CI 0.4-0.8; APRR 0.5, 95%CI 0.3-0.9 respectively). The direct medical cost of detecting one person with AGR was two US dollars with ADA and three point seven dollars with WHO cut-offs. Conclusions: There is a high prevalence of AGR among people aged 35-60 years in this setting. Screening for high risk persons and targeted health education to address obesity, insufficient physical activity and non-diverse diets are necessary.Item Modifiable Socio-Behavioural Factors Associated with Overweight and Hypertension among Persons Aged 35 to 60 Years in Eastern Uganda(PLoS ONE, 2012) Mayega, Roy William; Makumbi, Fredrick; Rutebemberwa, Elizeus; Peterson, Stefan; O¨stenson, Claes- Goran; Tomson, Goran; Guwatudde, DavidFew studies have examined the behavioural correlates of non-communicable, chronic disease risk in lowincome countries. The objective of this study was to identify socio-behavioural characteristics associated with being overweight or being hypertensive in a low-income setting, so as to highlight possible interventions and target groups. Methods: A population based survey was conducted in a Health and Demographic Surveillance Site (HDSS) in eastern Uganda. 1656 individuals aged 35 to 60 years had their Body Mass Index (BMI) and blood pressure (BP) assessed. Seven lifestyle factors were also assessed, using a validated questionnaire. Logistic regression was used to identify sociobehavioural factors associated with being overweight or being hypertensive. Results: Prevalence of overweight was found to be 18% (25.2% of women; 9.7% of men; p,0.001) while prevalence of obesity was 5.3% (8.3% of women; 2.2% of men). The prevalence of hypertension was 20.5%. Factors associated with being overweight included being female (OR 3.7; 95% CI 2.69–5.08), peri-urban residence (OR 2.5; 95% CI 1.46–3.01), higher socioeconomic status (OR 4.1; 95% CI 2.40–6.98), and increasing age (OR 1.8; 95% CI 1.12–2.79). Those who met the recommended minimum physical activity level, and those with moderate dietary diversity were less likely to be overweight (OR 0.5; 95% CI 0.35–0.65 and OR 0.7; 95% CI 0.49–3.01). Factors associated with being hypertensive included peri-urban residence (OR 2.4; 95%CI 1.60–3.66), increasing age (OR 4.5; 95% CI 2.94–6.96) and being over-weight (OR 2.8; 95% CI 1.98– 3.98). Overweight persons in rural areas were significantly more likely to be hypertensive than those in peri-urban areas (p = 0.013). Conclusions: Being overweight in low-income settings is associated with sex, physical activity and dietary diversity and being hypertensive is associated with being overweight; these factors are modifiable. There is need for context-specific health education addressing disparities in lifestyles at community levels in rural Africa.Item The Process Evaluation of a Comparative Controlled Trial to Support Self-management for the Prevention and Management of Type 2 Diabetes in Uganda, South Africa and Sweden in the SMART2D Project.(Research Square, 2021) Olmen, Josefien van; Absetz, Pilvikki; Mayega, Roy William; Timm, Linda; Delobelle, Peter; Molsted-Alvesson, Helle; Naggayi, Gloria; Kasujja, Francis; Hassen, Mariam; Man, Jeroen De; Sidney-Annersted, Kristi; Puoane, Thandi; Ostenson, Claes-Goran; Tomson, Göran; Guwatudde, David; Daivadanam, MeenaType 2 diabetes (T2D) and its complications are increasing rapidly. Support for healthy lifestyle and self-management is paramount, but not adequately implemented in health systems in most countries. Process evaluations facilitate understanding why and how interventions work through analysing the interaction between intervention theory, implementation and context. The SMART2D project implemented and evaluated community-based support interventions for persons at high risk of or having T2D in a rural community in Uganda, an urban township in South Africa, and socio-economically disadvantaged urban communities in Sweden. This study presents comprehensive analyses of the implementation process and interaction with context. Methods. This paper reports implementation process outcomes across the three sites, guided by the MRC framework for complex intervention process evaluations and focusing on the three community strategies (peer support program; care companion; and link between facility care and community support). Data were collected through observations of peer support group meetings using a structured guide, and semistructured interviews with project managers, implementers and participants. Results. The countries focused their in-depth implementation in accordance with the feasibility and relevance in the context. In Uganda and Sweden, the implementation focused on the peer support intervention whereas in South Africa, it centred around the CC part. The community-facility link received the least attention in the implementation. Continuous capacity building received a lot of attention, but intervention reach, dose delivered and fidelity varied substantially. Intervention- and context-related barriers affected participation. The analysis revealed how context shaped the possibilities of implementation, the delivery and participation and affected the mechanism of impact. Conclusions. Identification of the key uncertainties and conditions facilitates focus and efficient use of resources in process evaluations, and context relevant findings. The use of an overarching framework allows to collect cross-contextual evidence and a flexibility in evaluation design to adapt to the complex nature of the intervention. When designing an intervention, it is crucial to consider aspects of the implementing organization or structure, absorptive capacity, and to thoroughly assess and discuss implementation feasibility, capacity and organizational context with the implementation team and recipients. These recommendations are important for implementation and scale up.Item Study protocol for the SMART2D adaptive implementation trial: a cluster randomised trial comparing facility-only care with integrated facility and community care to improve type 2 diabetes outcomes in Uganda, South Africa and Sweden(BMJ Open, 2018) Guwatudde, David; Absetz, Pilvikki; Delobelle, Peter; Östenson, Claes-Göran; Olmen Van, Josefien; Molsted Alvesson, Helle; Mayega, Roy William; Ekirapa Kiracho, Elizabeth; Kiguli, Juliet; Sundberg, Carl Johan; Sanders, David; Tomson, Göran; Puoane, Thandi; Peterson, Stefan; Daivadanam, MeenaType 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 selfmanagement, 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.Item Using a cross-contextual reciprocal learning approach in a multisite implementation research project to improve self-management for type 2 diabetes(BMJ Glob Health, 2018) Olmen, Josefien van ,; Olmen, Josefien van; Delobelle, Peter; Guwatudde, David; Absetz, Pilvikki; Sanders, David; Mölsted Alvesson, Helle; Puoane, Thandi; Ostenson, Claes-Goran; Tomson, Göran; Mayega, Roy William; Sundberg, Carl Johan; Peterson, Stefan; Daivadanam, MeenaThis paper reports on the use of reciprocal learning for identifying, adopting and adapting a type 2 diabetes self-management support intervention in a multisite implementation trial conducted in a rural setting in a low-income country (Uganda), a periurban township in a middle-income country (South Africa) and socioeconomically disadvantaged suburbs in a highincome country (Sweden). The learning process was guided by a framework for knowledge translation and structured into three learning cycles, allowing for a balance between evidence, stakeholder interaction and contextual adaptation. Key factors included commitment, common goals, leadership and partnerships. Synergistic outcomes were the cocreation of knowledge, interventions and implementation methods, including reverse innovations such as adaption of community-linked models of care. Contextualisation was achieved by cross-site exchanges and local stakeholder interaction to balance intervention fidelity with local adaptation. Interdisciplinary and crosssite collaboration resulted in the establishment of learning networks. Limitations of reciprocal learning relate to the complexity of the process with unpredictable outcomes and the limited generalisability of results.