| Literature DB >> 25806627 |
Patricia Magnabosco1, Eliana Cavalari Teraoka1, Edward Meirelles de Oliveira2, Elisangela Aparecida Felipe3, Dayana Freitas1, Leila Maria Marchi-Alves1.
Abstract
OBJECTIVE: to evaluate the indexes and the main factors associated with non-adherence to medication treatment for systemic arterial hypertension between urban and rural areas.Entities:
Mesh:
Year: 2015 PMID: 25806627 PMCID: PMC4376027 DOI: 10.1590/0104-1169.0144.2520
Source DB: PubMed Journal: Rev Lat Am Enfermagem ISSN: 0104-1169
Distribution of hypertensive patients according to socio-demographic/economic and lifestyle variables of urban and rural population. Sacramento, MG, Brazil, 2013
| Study variable % | Rural (n=53) % | Urban (n=194) % | Total Population (n=247) | |
|---|---|---|---|---|
| Gender | ||||
| Female | 56.6 | 72.7 | 69.2 | |
| Male | 43.4 | 27.3 | 30.8 | |
| Age Group (years) | ||||
| ≥ 60 years old | 39.6 | 66.0 | 60.3 | |
| Up to 59 years old | 60.4 | 34.0 | 39.7 | |
| Skin color | ||||
| White | 92.5 | 73.2 | 77.3 | |
| Non-white | 7.5 | 26.8 | 22.7 | |
| Education | ||||
| < 8 years of study | 84.9 | 71.6 | 74.5 | |
| ≥ 8 years of study | 15.1 | 28.4 | 25.5 | |
| Economic Status* | ||||
| A/B | 13.2 | 29.4 | 25.9 | |
| C/D/E | 86.8 | 70.6 | 74.1 | |
| Smoking† | ||||
| No | 84.9 | 85.6 | 85.4 | |
| Yes | 15.1 | 14.4 | 14.6 | |
| Alcohol consumption‡ | ||||
| No | 88.7 | 90.2 | 88.7 | |
| Yes | 11.3 | 9.8 | 11.3 | |
Economic Status A/B (more favorable) and C/D/E (less favorable)
Smoking (consuming at least one cigarette/day)
Alcohol consumption (consumption of more than 30 g ethanol/day for men and 15g/day for women).
Distribution of hypertensive patients according to clinical variables/treatment and access to health services in urban and rural population. Sacramento, MG, Brazil, 2013
| Study variable % | Rural (n=53) % | Urban (n=194) % | Total (n=247) | |
|---|---|---|---|---|
| Time of diagnosis (Systemic Arterial Hypertension) | ||||
| More than 3 years | 77.4 | 77.8 | 83.0 | |
| Up to 3 years | 22.6 | 22.2 | 17.0 | |
| Pills/day | ||||
| 1 to 2 | 48.1 | 53.8 | 52.3 | |
| ≥ 3 | 51.9 | 46.2 | 47.7 | |
| Service Type | ||||
| Health Insurance/Private | 3.8 | 22.7 | 23.9 | |
| Brazilian Unified Health System | 96.2 | 77.3 | 76.1 | |
| Difficulty to access | ||||
| No | 60.4 | 68.8 | 66.4 | |
| Yes | 39.6 | 32.0 | 33.6 | |
| Reason for seeking the health service | ||||
| Routine visit* | 62.3 | 64.4 | 63.6 | |
| To get medication | 5.7 | 7.6 | 3.6 | |
| Only emergency | 32.1 | 28.8 | 32.8 | |
Routine visit (at least one medical visit every 6 months)
Univariate analysis of the association between non-adherence and socio-demographic/economic and lifestyle characteristics. Sacramento, MG, Brazil, 2013
| Study variable | Non-adherence(%) | Likelihood Ratio | Confidence Interval (95%) | p* | ||||
|---|---|---|---|---|---|---|---|---|
| Rural (n=53) | Urban (n=194) | Total (n=247) | ||||||
| Gender | (1.08-3.50) | 0.025‡ | ||||||
| Female | 50.0 | 58.9 | 57.3 | 1 | ||||
| Male | 65.2 | 75.5 | 72.4 | 1.95 | ||||
| Age Group (years) | (1.44- 4.39) | 0.001‡ | ||||||
| ≥ 60 years old | 47.6 | 54.7 | 53.7 | 1 | ||||
| Up to 59 years old | 62.5 | 80.3 | 74.5 | 2.51 | ||||
| Skin color | (0.74-2.62) | 0.301 | ||||||
| White | 59.2 | 60.6 | 60.2 | 1 | ||||
| Non-white | 25.0 | 71.2 | 67.9 | 1.39 | ||||
| Education | (0.66-2.17) | 0.553 | ||||||
| < 8 years of study | 55.6 | 62.6 | 60.9 | 1 | ||||
| ≥ 8 years of study | 62.5 | 65.5 | 65.1 | 1.19 | ||||
| Economic status † | (1.09-3.47) | 0.023‡ | ||||||
| A/B | 42.9 | 50.9 | 50.0 | 1 | ||||
| C/D/E | 58.7 | 68.6 | 66.1 | 1.95 | ||||
| Smoking‡ | (0.90-4.51) | 0.081 | ||||||
| No | 55.9 | 60.8 | 59.7 | 1 | ||||
| Yes | 62.5 | 78.6 | 75.0 | 2.02 | ||||
| Alcohol consumption§ | (1.73-20.21) | 0.002‡ | ||||||
| No | 53.2 | 60.6 | 58.4 | 1 | ||||
| Yes | 83.3 | 89.5 | 89.3 | 5.92 | ||||
Pearson's chi-square test (p <0.05)
Economic Status A/B (more favorable) and C/D/E (less favorable)
Smoking (consuming at least one cigarette/day)
Alcohol consumption (consumption of more than 30 g ethanol/day for men and 15g/day for women)
Univariate analysis of the association of non-adherence and clinical characteristics/treatment and access to health services. Sacramento, MG, Brazil, 2013
| Study variable | Non-adherence(%) | Likelihood Ratio | Confidence Interval (95%) | p* | ||||
|---|---|---|---|---|---|---|---|---|
| Rural (n=53) | Urban (n=194) | Total (n=247) | ||||||
| Time of diagnosis | (1,35- 6,96) | 0,005 | ||||||
| More than 3 years | 53.7 | 58.3 | 58.0 | 1 | ||||
| Up to 3 years | 66.7 | 81.4 | 81.0 | 3.07 | ||||
| Pills/day | (0.67-1.91) | 0.632 | ||||||
| 1 to 2 | 40.0 | 63.6 | 58.5 | 1 | ||||
| More than 3 | 70.4 | 58.8 | 61.6 | 1.13 | ||||
| Service Type | (0.92-3.01) | 0.089 | ||||||
| Health insurance/Particular | 50.0 | 50.0 | 52.5 | 1 | ||||
| Brazilian Unified Health System | 56.9 | 67.3 | 64.9 | 1.67 | ||||
| Difficulty to access | (0.41-1.22) | 0.222 | ||||||
| No | 53.1 | 67.4 | 64.6 | 1 | ||||
| Yes | 61.9 | 54.8 | 56.6 | 0.71 | ||||
| Reason for seeking the health service | (0.44-0.84)(1.35-4.42) | 0.003 | ||||||
| Routine visit† | 48.5 | 56.0 | 54.1 | 1 | ||||
| To get medication | 100.0 | 59.3 | 77.8 | 2.20 | ||||
| Only emergency | 64.7 | 78.1 | 75.3 | 2.45 | ||||
Pearson's chi-square test (p <0.05)
Routine visit (at least one medical visit every six months)