| Literature DB >> 34646887 |
Amine Cheikh1, Meryem Moutahir2, Ismail Bennani2, Houda Attjioui2, Wadie Zerhouni3, Mustapha Bouatia2,4.
Abstract
BACKGROUND: In 2014, the Ministry of Health of Morocco implemented a reform of medicine pricing that leads to lower prices. This reform has brought about a new method of pricing medicines and a reduction in the prices of more than 1,400 of the 5,000 medicines on the market. The objective of this study was to survey patients' perceptions of the impact of the reform on medicine prices and affordability of health care, including medicine.Entities:
Mesh:
Year: 2021 PMID: 34646887 PMCID: PMC8505072 DOI: 10.1155/2021/6969333
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1Share of interviewed people who postponed their health care by income.
Figure 2Comparison between the percentage of the delay in health care in people who have or no medical coverage.
Figure 3Comparison between postponing care based on having a job.
Univariate and multivariate analysis of the factors associated with an improvement in the accessibility to medicines after the decline in their prices.
| Independent variables | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
|
| 95% IC |
|
| 95% IC |
| |
| Age | 0.004 | 0.001–0.007 | 0.020 | 0.003 | 0.000–0.006 | 0.059 |
| Sex | ||||||
| Male | 0 | |||||
| Female | -0.047 | -0.162–0.067 | 0.421 | |||
| Health insurance | ||||||
| Yes | 0 | |||||
| No | 0.209 | 0.096–0.322 | <0.001 | 0.187 | 0.066–0.307 | 0.002 |
| Employment | ||||||
| Yes | 0 | |||||
| No | -0.047 | -0.166–0.073 | 0.422 | |||
| Family situation | ||||||
| Married | 0 | |||||
| Single | -0.088 | -0.309–0.132 | 0.433 | |||
| Other | -0.091 | -0.324–0.142 | 0.445 | |||
| Origin | ||||||
| Urban | 0 | |||||
| Rural | -0.161 | -0.303-0.019 | 0.027 | -0.064 | -0.213–0.085 | 0.400 |
| Monthly income | ||||||
| Without income | 0 | |||||
| Less than 250 | 0.011 | -0.208–0.231 | 0.918 | -0.077 | -0.301–0.147 | 0.500 |
| Between 250 and 500 | 0.166 | -0.066–0.397 | 0.161 | 0.053 | -0.183–0.290 | 0.659 |
| Between 500 and 700 | 0.003 | -0.208–0.214 | 0.977 | -0.051 | -0.261–0.159 | 0.633 |
| Greater than 700 | -0.029 | -0.258–0.201 | 0.807 | -0.059 | -0.284–0.165 | 0.604 |
| Quantitative variable | Median, interquartile |
|---|---|
| Age | 45 [31, 59] |
| Pharmaceutical expenditure (in euros) | 30 [20, 60] |
| Blood and urinary analyzes expenditures (in euros) | 15 [0, 50] |
| Doctor's visit expenditures (in euros) | 25 [0, 30] |
| Total care expenditures (2016) (in euros) | 400 [200, 700] |
| Qualitative variable | Number (percentage) |
|---|---|
| Sex | |
| M | 127 (42.3%) |
| F | 173 (57.7%) |
| Education level | |
| Illiterate | 32 (10.7%) |
| Primary | 72 (24%) |
| Secondary | 120 (40%) |
| University | 76 (25.3%) |
| Health insurance coverage | |
| Yes | 180 (60%) |
| No | 120 (40%) |
| Family status | |
| Married | 190 (63.3%) |
| Single | 88 (29.3%) |
| Other | 22 (7.3%) |
| Employment | |
| Yes | 198 (66%) |
| No | 102 (34%) |
| Origin | |
| Urban | 242 (80.7%) |
| Rural | 58 (19.3%) |
| Monthly income | |
| Without income | 71 (23.7%) |
| Less than 250 € | 51 (17%) |
| Between 250 € and 500 € | 97 (32.3%) |
| Between 500 € and 700 € | 54 (18%) |
| Greater than 700 € | 27 (9%) |
| Type of provider | |
| General practitioner | 119 (39.7%) |
| Specialist | 161 (53.7%) |
| Never | 20 (6.7) |
| Frequency of medical visit | |
| Regularly when I am sick | 156 (52%) |
| For chronic disease monitoring | 112 (37.3%) |
| When I am sick and I have money | 32 (10.7%) |
| Chronic diseases | |
| Yes | 126 (42%) |
| No | 174 (58%) |
| 100% coverage of healthcare expenses | |
| Yes | 12 (4.1%) |
| No | 278 (92.7%) |
| Estimated monthly amount of health expenses | |
| Yes | 178 (59.3%) |
| No | 122 (40.7%) |
| Delaying care | |
| Yes | 117 (39%) |
| No | 183 (61%) |
| Share of health expenditures in family expenditures | |
| Nothing | 50 (16.7%) |
| Excessive | 99 (33%) |
| According to needs and means | 46 (15.3%) |
| Moderate | 70 (23.3%) |
| Strictly necessary | 34 (11.3%) |
| Informed on drop of drug prices | |
| Yes | 201 (67%) |
| No | 99 (33%) |
| Costs of care before the prices drop | |
| Expensive | 166 (55.3%) |
| Moderate | 75 (25%) |
| Insignificant | 59 (19.7%) |
| Costs of care after the prices drop | |
| Decrease in expenses | 52 (17.3%) |
| Moderate | 109 (36.3%) |
| No change | 138 (46%) |
| Realizing that medicine prices are lower than in the past | |
| Yes | 86 (28.7%) |
| Moderately | 79 (26.3%) |
| No | 135 (45%) |
| Abnormally high price | |
| Yes | 215 (71.7%) |
| No | 28 (9.3%) |
| Some medicines | 57 (19%) |
| The price of the medicine is a barrier to access medicines and health care services | |
| Yes | 266 (88.7%) |
| No | 34 (11.3%) |
| Better access to medicines after drop of prices | |
| Yes | 147 (49%) |
| No | 152 (50.7%) |
| Significantly lower | |
| Yes | 130 (43.3%) |
| No | 170 (56.7%) |
| Lower prices did not improve access to health care services for patients | |
| Yes | 126 (42%) |
| No | 173 (57.7%) |
| Do you think that the impact of the “tiers payant” on medicine accessibility is more important than decrease medicine prices | |
| Yes | 271 (90.3%) |
| No | 29 (9.7%) |