| Literature DB >> 15833105 |
Gustavo Nigenda1, José Arturo Ruiz, Rosa Bejarano.
Abstract
BACKGROUND: This paper addresses the problem of wastage of the qualified labor force, which takes place both during the education process and when trained personnel try to find jobs in the local market.Entities:
Year: 2005 PMID: 15833105 PMCID: PMC1087866 DOI: 10.1186/1478-4491-3-3
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Sources of training and labor wastage. Categories used to estimate wastage in training are: attrition and non-graduated. Categories used to estimate labor wastage are: unemployment, household activities, and other jobs (working in activities not related to the field of training).
| Attrition | Non-graduate | |
| Unemployment | Household | Other jobs (working in activities foreign to the field of training) |
* Those who temporarily withdraw from studying and those who return to study are not included.
Total enrolment, medical schools in Mexico, 1990–2001. In general, enrolment in the career of medicine in Mexico has shown non-linear behavior for the past 25 years. It was at the beginning of the 1990s when it showed a downward trend, mainly because of the official policy implemented in the mid-1980s to halt the high demand to enrol that was evident at that time. Yet on average, enrolment increased by 22.8% during the 1990–2001 period.
| 1977 | 1980 | 1983 | 1986 | 1990 | 1993 | 1996 | 1999 | 2001 | |
| 85 822 | 77 474 | 76 424 | 64 853 | 57 667 | 55 591 | 59 645 | 64 594 | 70 830 |
Source: ANUIES, Anuarios estadísticos, 1990–2001
Figure 1Total enrolment in the career of medicine by sex, 1990–2001. Throughout the period, the proportional participation of women maintained a constant growth. According to the annual statistical book from ANUIES, the percentage of women enrolled in medicine jumped from 43.9% in 1990 to 50.4% in 2001. It 1999 the number of women enrolled outnumbered men for the first time, by 1038.
Figure 2Global rate of attrition (GRA) in medicine by group pertaining to the same period of study, 1977–2001. To calculate the attrition in the medical profession, a series was constructed for each graduating group, from the first admission in 1977 up to the 1997–2001 graduating class. Once the series was completed, it could be established that the lowest level of drop-outs took place during the period 1985–1989, with a rate of 165.0 per thousand students, while the highest level was registered in the 1990–1994 class, with a rate of 493.5.
Figure 3Incoming students and attrition by cohort, 1977–2001. An indicator that allows us to determine the wastage is the rate of final efficiency in the career of medicine at the national level. To this purpose, a series of graduating classes with the same cohort was constructed; this led to the identification of the highest final efficiency, which was achieved in the 1985 and the 1995 graduating classes, with a rate of 834.9 and 804.3, respectively. The second-highest rate was reached during the period 1995–1999.
Global rates of attrition and final efficiency of the medical graduates per thousand students by sex and groups pertaining to the 1996–2000 and 1997–2001 periods. The information about drop-outs, graduates and final efficiency does not show any significant difference when the sex variable is included. However, given that it was possible to obtain information by sex for only two classes for the same period of study, it would be difficult to draw any final conclusions regarding this issue.
| M | W | M | W | M | W | M | W | M | W | |
| 1996–2000 | 6 200 | 6 054 | 1 390 | 1 100 | 4 810 | 4 954 | 224.2 | 181.7 | 775.8 | 818.3 |
| 1997–2001 | 6 819 | 6 820 | 2 215 | 2 343 | 4 604 | 4 477 | 324.8 | 343.5 | 675.2 | 656.5 |
Source: ANUIES, Anuario estadístico, 1996–2001
* No data are available for 2002.
Incoming students, drop-outs and graduate students in medicine by year and sex, 1996–2002. Since 1996, the number of women medical graduates has been very similar to that of men. Something similar occurs when comparing the information about incoming students and drop-outs. The number of graduate students receiving their degree has not shown significant changes in recent years: in 1996, 45.9% were women, while in 2001 this proportion was 49.3%.
| 1996 | 6 200 | 6 054 | 47 | 53 | 51 | 49 |
| 1997 | 6 819 | 6 820 | 49 | 51 | 51 | 49 |
| 1998 | 7 456 | 7 064 | 53 | 47 | 50 | 50 |
| 1999 | 7 331 | 7248 | 51 | 49 | 50 | 50 |
| 2000 | 7 655 | 7 858 | 51 | 49 | 49 | 51 |
| 2001 | 7 501 | 7 962 | 45 | 55 | 51 | 49 |
| 2002 | 7 746 | 8 631 | n/a | n/a | n/a | n/a |
Source: ANUIES, Anuario estadístico, 1996–2002
* No data are available for 2002.
Occupational status of physicians by sex, 2000. Out of the population with education in general medicine who were dedicated to household activities, only 1% were men, while 12% were women. It should also be noted that more men than women are inactive and not available; this may indicate that there are fewer women retired and pensioned.
| National total | 204 778 | 100 | 133 673 | 65 | 71 105 | 35 |
| Employed | 142 923 | 70 | 100 818 | 75 | 42 105 | 59 |
| Studying | 10 122 | 5 | 4 596 | 3 | 5 526 | 8 |
| Unemployed | 10 892 | 5 | 5 385 | 5.5 | 5 507 | 8 |
| Dedicated to household activities | 7 895 | 4 | 8 | 0.5 | 7 887 | 11 |
| Working in activities not related to the field of training | 26 733 | 13 | 18 289 | 13 | 8 444 | 12 |
| Inactive, unavailable | 6 213 | 3 | 4 577 | 3 | 1 636 | 2 |
Source: Data generated by FUNSALUD from the XII General Census on Population and Housing, 2000.
Rate of employment, unemployment and wastage, 2000. To estimate the rate of employment, the following categories were used: total of employed divided by the total number of doctors minus students and inactive. In the case of unemployment, the following formula was used: unemployment divided by employed plus other jobs plus underemployed. In the case of wastage, the formula used was: unemployed plus household plus other jobs divided by the total number of doctors minus students and inactive.
| Rate of employment = A/ (T - B - F) | |
Source: Data generated by FUNSALUD from the XII General Census on Population and Housing, 2000.
Where: A = Employment, B = Studying, C = Unemployed, D = Household, E = Others jobs, F = Inactive, T = Total
Rates of employment in the health sector, employed in non-health activities and studying, 2000. Data used to estimate the rate of employment within the health sector were the following: the total number of employed divided by the total number of doctors minus the inactive. The formula used to estimate the students was: total number of students divided by the total number of doctors minus the inactive. To estimate the number of doctors working outside the health sector the following formula was used: other jobs outside the health sector divided by the total number of doctors minus the inactive.
| Rate of employment in the health sector = A/T-F | |
Source: Data generated by FUNSALUD from the XII I General Census on Population and Housing, 2000.
Where: A = Employment, B = Studying, C = Unemployed, D = Household, E = Others jobs, F = Inactive, T = Total
Rates of labor participation (× thousand doctors) by sex, 2000. To estimate the rates of labor participation by sex, men and women constituted separate groups. Formulas were estimated in the same way as for the total population.
| Rate of employment | ||
| Rate of unemployment | ||
| Rate of wastage |
Source: Data generated by FUNSALUD from the XII General Census on Population and Housing, 2000.
Figure 4Possible outcomes for individuals, from medical schools to the labor market. The diagram shows that doctors enrolled at medical schools can follow one of two patterns: the first refers to students obtaining their diploma, and the second, to students dropping out or not fulfilling the established requirements to graduate. Once in the labor market, graduates can be divided into two subgroups: those who are ready to be immediately employed and those who are not. In turn, those who are ready can be employed, unemployed, underemployed or fully dedicated to household activities. Those who are not ready to be immediately employed are divided into students that go on for a specialization degree and those who are inactive. A proportion of those initially enrolled will later be represented by the rate of attrition.