| Literature DB >> 26560131 |
Geofrey Musinguzi1,2, Hilde Bastiaens3, Rhoda K Wanyenze1, Aggrey Mukose4,2, Jean-Pierre Van Geertruyden2, Fred Nuwaha1.
Abstract
BACKGROUND: The burden of chronic diseases is increasing in both low- and middle-income countries. However, healthcare systems in low-income countries are inadequately equipped to deal with the growing disease burden, which requires chronic care for patients. The aim of this study was to assess the capacity of health facilities to manage hypertension in two districts in Uganda.Entities:
Mesh:
Year: 2015 PMID: 26560131 PMCID: PMC4641641 DOI: 10.1371/journal.pone.0142312
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Framework illustrating the study design and data structure.
Fig 2Graphical presenation of the challenges of managing hypertension in Mukon and Buikwe District in Uganda.
Distribution of studied baseline characteristics by level of facility in Mukono and Buikwe districts in Uganda.
| Characteristics | Total N (%) | Hospital = 6; N (%) | HCIV = 4; N (%) | HCIII = 23; N (%) | HCII = 41; N (%) | Clinic/dispensary = 52; N (%) |
|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| Female n(%) | 185 (68.3) | 38 (67.9) | 13 (76.5) | 42 (72.4) | 48 (77.4) | 44 (56.4) |
|
| ||||||
| Doctor | 21 (7.8) | 7 (12.5) | 1 (5.6) | 0 (0.0) | 0 (0.0) | 13 (16.9) |
| Clin. Officer | 60 (22.5) | 11 (19.6) | 8 (44.4) | 18 (32.1) | 4 (6.6) | 19 (24.7) |
| Nurse/Midwif | 136(50.7) | 37 (66.1) | 6 (33.3) | 30 (53.6) | 28 (45.9) | 35 (45.5) |
| N/Assistant | 51 (19.0) | 1 (1.8) | 3 (16.7) | 8 (14.3) | 29 (47.5) | 10 (13.0) |
|
| ||||||
|
| ||||||
| Government | 51 (40.5) | 1 (16.7) | 3 (75.0) | 20 (87.0) | 27 (65.9) | - |
| Private | 52 (41.3) | - | - | - | - | 52 (100) |
| NGO/Mission | 23 (18.2) | 5 (66.7) | 1 (25.0) | 3 (13.0) | 14 (34.1) | - |
|
| ||||||
| Yes, n (%) | 117 (92.9) | 6 (100) | 4 (100) | 23 (100) | 40 (97.6) | 44 (84.6) |
|
| ||||||
| All cases Mean (SD) | 660.1 (844.2) | 2562.3 (2040.9) | 1791.6 (1447.1) | 1108.1 (457.4) | 474.4 (224.2) | 165.3 (277.1) |
| Hypertensive Mean (SD) | 7.0 (12.1) | 39.3 (24.4) | 19.5 (15.3) | 13.0 (12.2) | 1.15 (3.4) | 4.04 (4.5) |
Availability of guidelines and functioning equipment for hypertension diagnosis and management.
| Variable | Total | Hospital = 6 | HCIV = 4 | HCIII = 23 | HCII = 41 | Clinic/dis | P-Value |
|---|---|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | N (%) | pensary = 52; N (%) | ||
|
| |||||||
| Yes | 57 (46) | 5 (83.3) | 2 (50) | 17 (73.9) | 24 (58.5) | 9 (18) | <0.001 |
|
| |||||||
| Yes | 113 (89.7) | 6 (100) | 4 (100) | 20 (87) | 35 (85.4) | 48 (92.3) | 0.63 |
|
| |||||||
| Digital | 29 (13.2) | 0 (0) | 2 (11.8) | 1 (2.9) | 3 (6.3) | 23 (30.3) | <0.001 |
| Aneroid | 149 (67.7) | 33 (73.3) | 10 (58.8) | 27 (79.4) | 40 (83.3) | 39 (51.3) | 0.12 |
| Mercury | 42 (19.1) | 12 (26.7) | 5 (29.4) | 6 (17.6) | 5 (10.4) | 14 (18.4) | 0.002 |
|
| |||||||
| Never | 107 (99.1) | 6 (100) | 4 (100) | 23 (0) | 41(0) | 51 (98.1) | |
|
| |||||||
| Standard cuff | 159 (98.8) | 35 (100) | 5 (100) | 29 (100) | 33 (100) | 57 (96.6) | <0.001 |
| Small cuff | 1 (0.6) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 1 (1.7) | |
| Large cuff | 1 (0.6) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 1 (1.7) | |
|
| |||||||
| Yes | 91 (72) | 6 (100) | 4 (100) | 21 (91.3) | 33 (80.5) | 27 (51.9) | 0.73 |
|
| |||||||
| N (Mean) | 169 (1.3) | 32 (5.3) | 13 (3.3) | 44 (1.9) | 47 (1.1) | 33 (0.6) | |
|
| |||||||
| Yes | 25(19.8) | 6 (100) | 1 (25) | 0 (0) | 0 (0) | 18 (34.6) | <0.001 |
|
| |||||||
| Doctors | 27 | 8 (29.6) | 1 (3.7) | 0 (0) | 0 (0) | 18 (66.7) | |
|
| |||||||
| Yes | 29 (34.1) | 3 (50) | 1 (25) | 6 (26) | 2 (33.3) | 17 (36.9) | 0.80 |
P- Value is significant at P < 0.05
Availability of different anti-hypertensive medicines by health facility level.
| Class of | Total | Hospital | HCIV = 4 | HCIII = 23 | HCII = 41 | Clinic/dis | P-Value |
|---|---|---|---|---|---|---|---|
| medicine | N (%) | = 6 | N (%) | N (%) | N (%) | pensary = | |
| N (%) | 52; N (%) | ||||||
|
| |||||||
| Yes | 54 (42.9) | 6 (100) | 4 (100) | 17 (73.9) | 4 (9.8) | 23 (44.2) | <0.001 |
|
| |||||||
| Yes | 75 (59.5) | 6 (100) | 3 (75) | 22 (95.6) | 4 (9.8) | 40 (97.6) | <0.001 |
|
| |||||||
| Yes | 2 (1.6) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 2 (3.8) | 0.576 |
|
| |||||||
| Yes | 7 (5.6) | 0(0) | 0 (0) | 0 (0) | 0 (0) | 7 (13.5) | 0.032 |
|
| |||||||
| Yes | 61 (48.4) | 6 (100) | 4 (100) | 3 (13) | 6 (14.6) | 42 (80.8) | <0.001 |
|
| |||||||
| Yes | 28 (22.2) | 5 (75) | 3 (75) | 1 (4.3) | 0 (0) | 19 (36.5) | <0.001 |
|
| |||||||
| Yes | 20 (15.9) | 0 (0) | 1 (25) | 0 (0) | 1 (2.4) | 18 (34.6) | <0.001 |
|
| |||||||
| Yes | 21 (16.6) | 2 (33.3) | 1 (25) | 0 (0) | 0 (0) | 18 (34.6) | <0.001 |
*Reported drugs
Diuretics–Hydrochlorothiazide and chlorothiazide; Bendroflumethiazide, Spironolactone, Amiloride
Beta Blockers–Atenelol, Propranolol
Alpha blockers–Indormine, Phenoxybenzamine
Mixed Alpha and Beta Blockers–Carvedilol, Labetalol
Calcium Channel Blockers–Amlodipine, Nifedipine, Nimodipine
Angiotensin Converting Enzyme (ACE) Inhibitors–Captopril, Enalapril
Angiotensin II Receptor antagonists–Losartan
Alpha-2 agonists–Methyldopa
P- Value is significant at P < 0.05
Statistical analysis comparing correlation coefficients (R) of sub groups of outcome variables with Health facility level.
| Guidelines | Stock out | Function BP device | Functioning BP | |
|---|---|---|---|---|
| vs. | Vs | vs. | vs | |
| Health facility type | Patient number | Patient number | Patient number | Non functioning |
| HOSPITAL |
| -0.479 | 0.512 | 0.566 |
| HCIV | -0.643 | 0.197 | 0.502 | 0.801 |
| HCIII | -0.1.14 | 0.196 | 0.031 | -0.327 |
| HCII | 0.085 | -0.592 | -0.122 | 0.194 |
| Private clinic/Dispensary | 0.035 |
|
|
|
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Fig 3Suggested recommendations to improve hypertension management in Mukono and Buikwe in Uganda.