| Literature DB >> 25406738 |
Jeremy I Schwartz1,2,3, David Guwatudde4, Rachel Nugent5, Charles Mondo Kiiza6,7.
Abstract
The demographic and nutritional transitions taking place in Uganda, just as in other low- and middle-income countries (LMIC), are leading to accelerating growth of chronic, non-communicable diseases (NCDs). Though still sparse, locally derived data on NCDs in Uganda has increased greatly over the past five years and will soon be bolstered by the first nationally representative data set on NCDs. Using these available local data, we describe the landscape of the globally recognized major NCDs- cardiovascular disease, diabetes, cancer, and chronic respiratory disease- and closely examine what is known about other locally important chronic conditions. For example, mental health disorders, spawned by an extended civil war, and highly prevalent NCD risk factors such as excessive alcohol intake and road traffic accidents, warrant special attention in Uganda. Additionally, we explore public sector capacity to tackle NCDs, including Ministry of Health NCD financing and health facility and healthcare worker preparedness. Finally, we describe a number of promising initiatives that are addressing the Ugandan NCD epidemic. These include multi-sector partnerships focused on capacity building and health systems strengthening; a model civil society collaboration leading a regional coalition; and a novel alliance of parliamentarians lobbying for NCD policy. Lessons learned from the ongoing Ugandan experience will inform other LMIC, especially in sub-Saharan Africa, as they restructure their health systems to address the growing NCD epidemic.Entities:
Mesh:
Year: 2014 PMID: 25406738 PMCID: PMC4240853 DOI: 10.1186/s12992-014-0077-5
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Figure 1Ugandan NCD publications, 1994–2013, (blue bars and trend line), and Ugandan affiliation of first or last author (red bars).
Sample of population-based studies of diabetes, hypertension, stroke and associated risk factors in Uganda
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| Iganga (green) | Cohort study; | -Overweight: 7.5% (males), 16.9% (females) |
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| -HBP: 20.5% | |||
| -DM by hemoglobin a1c: 11.2% | |||
| -DM by FPG: 4.8% | |||
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| Kalungu (red) | Cohort study; | -Overweight: 3.6% (males), 14.5% (females) |
| -HBP: 22.5% | |||
| -Probable DM by RPG: 0.4% | |||
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| Kasese (purple) | Cross-sectional study; Peri-urban and rural | -Overweight: 14.7% (males), 16.7% (females) |
| -HBP: 21% | |||
| -Physical inactivity: 51% | |||
| -Daily smokers: 9.6% | |||
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| Rukungiri (yellow) | Cross-sectional study; Urban and rural | -HBP: 34% |
| -Risk factors found to be independently associated with HBP: alcohol use, level of education, BMI | |||
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| Wakiso (blue) | Cross-sectional study; Urban and rural |
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| -Did not recognize brain as affected organ: 77% | |||
| -Had no knowledge of stroke risk factors: 73% | |||
| -Would go to hospital if stroke symptoms: 85% |
HBP high blood pressure, DM diabetes mellitus, FPG fasting plasma glucose, BMI body mass index, RPG random plasma glucose.
Figure 2Geographic distribution of population-based studies of diabetes, hypertension, stroke and NCD risk factors in Uganda. Map is adapted from http://www.citypopulation.de/php/uganda-admin.php.
Figure 3Trends in age-standardized incidence rates of selected cancers in males and females in Kampala, Uganda, 1991–2006. (Adapted from Parkin [14]).
Ministry of health financing for NCDs [provided by personal communication: Ministry of Health Ministerial Policy Statement 2014/2015, the Republic of Uganda]
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| Ministry of Health | 240,000,000 | - |
| Source: Government of Uganda | 20,000,000 | 8.3 |
| Source: External financing | 220,000,000 | 91.7 |
| Department of Community Health | 902,000 | 0.37 |
| Programme for the Prevention and Control of NCDs | 27,000 | 0.011 |
*The NCD Programme budget was increased from 3% (27,000USD) of Department of Community Health budget to 25% (250,000USD) for 2014–15 to fund the STEPS survey.
Availability of NCD services and equipment by health facility type (adapted from Rogers H 2014)
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| Body Mass Index | 6 (46) | 5 (19) | 0 (0) |
| Blood pressure | 13 (100) | 24 (89) | 12 (86) |
| Blood glucose | 11 (85) | 23 (85) | 11 (79) |
| Urine analysis | 9 (69) | 22 (82) | 12 (86) |
| Individual patient NCD education | 9 (69) | 17 (63) | 5 (36) |
| Group NCD education | 12 (92) | 18 (67) | 4 (29) |
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| Stethoscope | 8 (62) | 16 (60) | 7 (50) |
| Blood pressure cuff, standard size | 4 (31) | 9 (33) | 8 (57) |
| Electrocardiogram- available/[functional] | 3 (21)/ [1 (33)] | 4 (15)/ [2 (50)] | 1 (7)/ [0 (0)] |
Confidence in NCD management by cadre of HCW- (adapted from Rogers H 2014)
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| Hypertension treatment | 14 (44) | 18 (56) | 12 (75) | 4 (25) | 19 (100) | 0 (0) | 10 (100) | 0 (0) |
| Diabetes treatment | 14 (44) | 18 (56) | 4 (44) | 9 (56) | 17 (90) | 2 (10) | 10 (100) | 0 (0) |
| Asthma treatment | 21 (66) | 11 (34) | 14 (88) | 2 (12) | 18 (95) | 1 (5) | 10 (100) | 0 (0) |
| Cervical cancer screening | 7 (22) | 25 (78) | 0 (0) | 16 (100) | 8 (42) | 11 (58) | 6 (60) | 4 (40) |
| Depression screening/treatment | 10 (31) | 22 (69) | 6 (38) | 9 (62) | 10 (53) | 9 (47) | incomplete | |
| Tobacco abuse treatment | 11 (34) | 21 (66) | 3 (19) | 13 (81) | 4 (21) | 15 (79) | incomplete | |
| Alcohol abuse treatment | 17 (53) | 15 (47) | 4 (25) | 12 (75) | 6 (32) | 13 (68) | Incomplete | |
*“Confident” combines “very confident” and “confident” in the original survey.
^“Not confident” combines “somewhat” and “not at all” in the original survey.