| Literature DB >> 22571591 |
Bradley Chen1, Melani Cammett.
Abstract
INTRODUCTION: Despite the importance of political institutions in shaping the social environment, the causal impact of politics on health care access and inequalities has been understudied. Even when considered, research tends to focus on the effects of formal macro-political institutions such as the welfare state. We investigate how micro-politics and informal institutions affect access to care.Entities:
Mesh:
Year: 2012 PMID: 22571591 PMCID: PMC3464946 DOI: 10.1186/1475-9276-11-23
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Descriptive Statistics (N = 1789)
| | | | | |
| <30 | 268 | 14.98% | 106 | 39.55% |
| 30-40 | 565 | 31.58% | 182 | 32.21% |
| 40-50 | 632 | 35.33% | 226 | 35.76% |
| 50-60 | 245 | 13.69% | 82 | 33.47% |
| >60 | 79 | 4.42% | 26 | 32.91% |
| 974 | 54.44% | 360 | 36.96% | |
| | | | | |
| <=500 | 489 | 27.33% | 192 | 39.26% |
| 501-1000 | 863 | 48.24% | 281 | 32.56% |
| 1001-2000 | 346 | 19.34% | 113 | 32.66% |
| 2001-3000 | 63 | 3.52% | 24 | 38.10% |
| > = 3001 | 28 | 1.57% | 12 | 42.86% |
| | | | | |
| Elementary | 261 | 14.54% | 119 | 45.59% |
| Intermediate | 570 | 31.86% | 196 | 33.86% |
| Secondary | 427 | 23.87% | 128 | 29.98% |
| Vocational | 131 | 7.32% | 53 | 40.46% |
| University | 352 | 19.68% | 113 | 32.10% |
| Higher degree | 48 | 2.68 | 16 | 33.33% |
| High status profession* | 210 | 11.74% | 79 | 37.62% |
| | | | | |
| Christian | 782 | 43.71% | 240 | 30.69% |
| Shia | 414 | 23.14% | 164 | 39.61% |
| Sunni | 351 | 19.62% | 137 | 39.03% |
| Druze | 73 | 4.08% | 26 | 35.62% |
| Orthodox | 56 | 3.13% | 23 | 41.07% |
| None | 113 | 6.32% | 32 | 28.32% |
| | | | | |
| Free Patriotic Movement | 162 | 9.06% | 46 | 28.40% |
| Lebanese Forces | 96 | 5.37% | 34 | 35.42% |
| Kataeb | 23 | 1.29% | 3 | 13.04% |
| Future Movement | 140 | 7.83% | 74 | 52.86% |
| Hezbollah | 121 | 6.76% | 41 | 33.88% |
| Amal Movement | 48 | 2.68% | 36 | 75.00% |
| Progressive Socialist Party | 44 | 2.46% | 15 | 34.09% |
| Others | 143 | 7.99% | 61 | 42.66% |
| Do not support any party | 1012 | 56.57% | 312 | 30.83% |
*High status professions include legislator, top manager, director, specialized professional (i.e. law, medicine), technician or assistant in a specialized profession, armed forces, and member of religious clergy.
Logistic Regression of Political Activism and Access to Financial Assistance for Health
| | ||
|---|---|---|
| Overall political activism (PAI) | 1.41** | 1.44** |
| Individual components of political activism | | |
| Volunteer for Party | 2.62** | 2.75** |
| Meeting freq. | 1.03 | 1.01 |
| Volunteer in 05’ election | 1.94** | 1.98** |
| Vote in 05’ election | 1.10 | 1.20 |
| Vote list | 1.00 | 1.02 |
| Party member | 1.78** | 1.91** |
| Party supporter | 1.49** | 1.44** |
| Poster display | 1.94** | 1.87** |
| Age | | 0.94 |
| Sex (Female) | | 1.36* |
| Income | | 1.10 |
| Education | | 0.93 |
| High status profession | | 1.29 |
| Own | | 0.70** |
| Need | | 1.18 |
| Religious commitment | | 1.13 |
| Piety | 0.92 | |
§Adjusted for age, sex, socioeconomic status (income, education, profession), religious commitment and piety.
** p < 0.01, * p < 0.05.
Full results available at [AUTHOR WEBSITE].
Figure 1Predicted Probability of Receiving Health Aid across Levels of Political Activism.