| Literature DB >> 23468905 |
Ekwaro A Obuku1, Sujal M Parikh, Victoria Nankabirwa, Nelson I Kakande, David K Mafigiri, Harriet Mayanja-Kizza, Cissy M Kityo, Peter N Mugyenyi, Robert A Salata.
Abstract
OBJECTIVE: The HIV/AIDS epidemic has evolved with an increasing burden in older adults. We assessed for knowledge about aging and HIV/AIDS, among clinicians in Kampala district, Uganda.Entities:
Mesh:
Year: 2013 PMID: 23468905 PMCID: PMC3585272 DOI: 10.1371/journal.pone.0057028
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Background Characteristics and HIVAIDS Knowledge Scores for Clinicians in Kampala District.
| Category | N = 262 (%) | Mean Score | 95% CI |
|
| |||
| 20–29 | 120 (47.2) | 46.9 | 44.8, 49.1 |
| 30–39 | 97 (38.2) |
| 53.0, 57.5 |
| >40 | 37 (14.6) | 46.5 | 41.8, 51.2 |
|
| |||
| Male | 151 (59.7) | 51.8 | 49.9, 53.7 |
| Female | 102 (40.3) |
| 44.2, 49.7 |
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| |||
| Medical Officer | 144 (57.8) | 50.8 | 48.7, 52.8 |
| Nurse | 38 (15.3) |
| 40.2, 48.9 |
| Clinical Officer | 29 (11.7) | 48.9 | 44.3, 53.6 |
| Specialist Physician | 38 (14.3) | 53.3 | 49.1, 57.5 |
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| |||
| Hospital Ward | 168 (69.7) | 49.2 | 47.3, 51.2 |
| HIV/AIDS Clinic | 53 (22) | 52.7 | 49.6, 55.9 |
| Health Centre | 20 (8.3) | 50.3 | 45.1, 55.5 |
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| |||
| <3 | 106 (44.5) | 47.1 | 44.8, 49.3 |
| 4–6 | 63 (26.5) |
| 49.4, 55.8 |
| 7–9 | 34 (14.3) |
| 50.2, 58.7 |
| >9 | 35 (14.7) | 50.6 | 45.8, 55.4 |
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| |||
| Degree | 179 (72.5) | 49.7 | 47.8, 51.6 |
| Diploma | 28 (11.3) | 45.8 | 41.3, 50.3 |
| Masters | 40 (16.2) | 53.7 | 49.5, 57.9 |
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| Yes | 231 (88.8) | 50.5 | 48.8, 52.1 |
| No | 29 (11.2) |
| 39.3, 48.8 |
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| |||
| PMTCT | 120 (45.8) | 51.0 | 48.6, 53.5 |
| TB/HIV co-infection | 116 (44.3) | 50.6 | 48.2, 52.9 |
| Antiretroviral Therapy | 107 (40.8) | 50.8 | 48.3, 53.2 |
| HIV Counseling & Testing | 97 (36.6) | 50.4 | 47.7, 53.1 |
| HIV/AIDS Conferences | 79 (29.8) |
| 50.3, 54.9 |
| Pediatrics & Adolescent HIV | 69 (26) | 48.7 | 45.6, 51.8 |
| NCD Co-morbidities | 62 (23.6) |
| 50.6, 56.7 |
| Sexual & Reproductive Health | 55 (20.9) | 50.9 | 47.4, 54.5 |
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| Yes | 226 (86.9) | 49.2 | 47.5, 50.9 |
| No | 34 (13.1) | 53.4 | 49.1, 57.6 |
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| Yes | 234 (90) | 49.5 | 47.9, 51.2 |
| No | 26 (10) | 51.5 | 45.8, 57.4 |
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| >100 | 132 (52.4) | 53.9 | 51.9, 55.9 |
| 50–100 | 58 (23) |
| 44.8, 51.2 |
| <50 | 62 (24.6) |
| 41.6, 47.7 |
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| |||
| <25% | 137 (62.3) | 50.6 | 48.5, 52.8 |
| >25% | 83 (37.7) | 51.9 | 49.2, 54.6 |
Significant difference (p<0.05) compared to the first category;
compared to those without specific training Abbreviations: HIV – Human Immunodeficiency Virus; NCD – Non Communicable Diseases; PMTCT – Prevention of Mother to Child Transmission; PHAs – Persons Living with HIV/AIDS; TB – Tuberculosis; CI – Confidence Interval.
Clinician knowledge about HIVAIDS in older adults by thematic area (N = 262).
| Knowledge area |
|
|
|
|
| Prevalence of HIV/AIDS in Uganda | 74.1 |
| Prevalence of HIV/AIDS among older adults (50–59 yrs) higher than younger adults (15–24 yrs) | 23.3φ |
| HIV/AIDS transmission routes in older adults (including homo- or heterosexual practices) | 36.3φ |
| Hetero-sexual intercourse not crucial risk factor for HIV transmission among older adults | 80.5 |
| Older adults without HIV/AIDS symptoms can be infectious | 79.9 |
| All pregnant women infected with HIV will have babies born with AIDS | 86.6 |
| Gloves are not necessary when handling body fluids from older adults | 93.5 |
| ARVs reduce the risk of Mother To Child Transmission to nearly 0% | 51.2 |
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|
|
| Older adults with negative result for HIV antibodies may be infected with the HIV/AIDS germ | 68.3 |
| HIV/AIDS is characterized by a decrease in CD4+ T-lymphocyte cells in the blood | 84.7 |
| An older adult with antibodies to the HIV virus is protected against HIV/AIDS | 84.4 |
| HIV/AIDS is characterized by chronic immune activation but not chronic inflammation | 46.2 |
| Features of chronic immune activation in the context of HIV | 12.2φ |
| Features of chronic inflammation in the context of HIV | 11.5φ |
| Myocardial Infarction in an older adult with HIV/AIDS is an event of the immune system | 16.4φ |
| HIV/AIDS causes earlier ageing of the body associated with premature clinical outcomes | 69.6 |
| Older patients, at the time of initial HIV diagnosis, tend to have higher CD4 cells than younger individuals | 70.3 |
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| Older adults are less likely to use condoms, more likely to have multiple partners and those who are HIV infected adhere less to ART than younger individuals | 50.8 |
| Effective ART isn’t a cure but can improve average life expectancy of HIV infected older adults to as good as that of the HIV negative general population | 11.8φ |
| The life expectancy of PHAs taking effective ART is similar to the general population only if CD4+ counts are ≥500 cells/mm3 for ≥5 years | 46.8 |
| Even after 5 years of effective ARVs, many patients fail to obtain normal CD4+ T-cell counts | 56.3 |
| Patients with CD4+ T-cell counts <500 cells/mm3 even after about 5 years of ARV use are unlikely to achieve ≥500 cells/mm3 during long-term follow-up | 43.1 |
| Older adults with HIV respond less well to ARVs compared to younger adults | 41.8 |
| The CD4+ cells peak response and plateau of older adults on the same ART regimen is lower than that of younger individuals | 52.7 |
| Older adults are likely to have undetectable viral loads more than younger individuals on ART | 19.1φ |
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| Older patients with HIV have a shorter survival after a diagnosis of AIDS compared to younger patients | 50.6 |
| Conditions that constitute AIDS wasting syndrome | 12.6φ |
| Rank the risk factors for suffering TB disease in older adults (HIV/AIDS, Diabetes, Smoking) | 18.7φ |
| Serious Non-AIDS Related Events (SNARES) occur more frequently in older adults with HIV/AIDS even in the presence of effective ART use than in HIV negative older adults | 11.5φ |
| HIV positive older adults have the same risk of co-morbidities (diabetes mellitus, non-AIDS related cancers, cardiovascular disease) as HIV negative older adults | 49.4 |
| Untreated HIV infection in older adults leads to protein energy malnutrition | 71.5 |
| ART causes initial loss of both central and limb fat (lipoatrophy) in older adults | 45.8 |
| After a period of time, ART causes gain of limb fat and central abdominal fat in older adults | 43.1 |
| Long term use of ART may cause redistribution of body fat increasing risk of DM in older adults | 71.8 |
Correct response may be T-True or F-False.
Mean score.
Areas with extremely low scores (less than 40%).
Regression model for potential determinants of clinician Knowledge Scores.
| Predictor Variable | Knowledge Score (%) | Unadjusted | Adjusted (N = 197) | Imputed (N = 262) | ||||
| ≤50 | >50 | OR | 95% CI | aOR | 95% CI | aOR | 95% CI | |
|
| 146 (55.7) | 116 (44.3) | ||||||
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| 20–29 | 83 (69.2) | 37 (30.8) | 1 |
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| 30–39 | 32 (36.1) | 65 (63.9) | 4.56 | 2.56–8.08 | 3.28 | 1.65–9.75 | 3.10 | 1.42–6.77 |
| >40 | 27 (73) | 11 (27) | 0.95 | 0.42–2.10 | 0.46 | 0.08–1.78 | 0.48 | 0.13–1.79 |
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| Male | 78 (51.7) | 73 (48.3) | 1 |
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| Female | 62 (60.8) | 40 (39.2) | 0.69 | 0.41–1.15 | ||||
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| Medical Officer | 76 (52.8) | 68 (47.2) | 1 |
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| Nurses | 29 (76.3) | 9 (23.7) | 0.35 | 0.15–0.78 | 0.31 | 0.11–0.83 | 0.32 | 0.12–0.85 |
| Clinical Officer | 15 (51.7) | 14 (48.3) | 1.04 | 0.47–2.32 | 1.27 | 0.39–4.09 | 2.18 | 0.55–8.71 |
| Physician/Consultant | 16 (42.1) | 22 (57.9) | 1.53 | 0.75–3.16 | 1.04 | 0.35–3.10 | 0.71 | 0.24–2.14 |
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| Hospital Ward | 99 (58.9) | 69 (41.1) | 1 |
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| HIV/AIDS Clinic | 20 (37.7) | 33 (62.3) | 2.36 | 1.25–4.47 | ||||
| Health Centre | 11 (55) | 9 (45) | 1.17 | 0.46–2.98 | ||||
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| <3 | 71 (67) | 35 (33) | 1 |
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| 3–6 | 28 (44.4) | 35 (55.6) | 2.54 | 1.34–4.81 | ||||
| 7–9 | 13 (38.2) | 21 (61.8) | 3.28 | 1.47–7.30 | ||||
| >9 | 18 (51.4) | 17 (48.6) | 1.91 | 0.88–4.17 | ||||
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| >100 | 57 (43.2) | 75 (56.8) | 1 |
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| 50–100 | 35 (60.3) | 23 (39.7) | 0.50 | 0.27–0.94 | 0.76 | 0.31–1.88 | 0.60 | 0.26–1.38 |
| <50 | 46 (74.2) | 16 (25.8) | 0.26 | 0.14–0.51 | 0.34 | 0.14–0.86 | 0.32 | 0.14–0.77 |
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| <25% | 70 (51.1) | 67 (48.9) | 1 |
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| >25% | 43 (51.8) | 40 (48.2) | 0.97 | 0.56–1.68 | ||||
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| Degree | 101 (56.4) | 78 (43.6) | 1 |
| *** | *** | ||
| Diploma | 20 (71.4) | 8 (28.6) | 0.52 | 0.22–1.23 | 0.21 | 0.03–1.33 | 0.25 | 0.05–1.25 |
| Masters | 14 (35) | 26 (65) | 2.41 | 1.18–4.91 | ||||
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| Yes | 122 (52.8) | 109 (47.2) | 2.81 | 1.15–6.83 | ||||
| No | 22 (75.9) | 7 (24.1 ) | 1 |
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| Yes | 58 (54.2) | 49 (55.8) | 1.11 | 0.68–1.82 | ||||
| No | 88 (56.8) | 67 (53.2) | 1 |
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| Yes | 26 (41.9) | 36 (58.1) | 2.08 | 1.16–3.70 | 1.39 | 0.61–3.15 | 1.91 | 0.97–3.80 |
| No | 120 (60) | 80 (40) | 1 |
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| *** | ||
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| Yes | 121 (55.1) | 105 (44.9) | 1.11 | 0.49–2.52 | ||||
| No | 15 (57.7) | 11 (42.3) | 1 | |||||
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| Yes | 130 (57.5) | 96 (42.5) | 0.58 | 0.28–1.21 | ||||
| No | 15 (44.1) | 19 (55.9) | 1 |
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aOR – Odds Ratio adjusted for all variables in the model; CI – Confidence Interval; NS – Not Significant; Level of significance P<0.01 (§), P<0.05 (φ) and P<0.1 (***); Probability>F is <0.001 for all variables in the imputed model.