INTRODUCTION
The World Health Organisation and the United Nations regard access to health services without any discrimination as a fundamental right for prison inmates1. The growth in rates of imprisonment worldwide2 and increasing morbidity from chronic diseases3 has made maintaining good levels of physical and mental health in the prison population a challenge for prison systems.
Since 2001, the prison population on the American continent (excluding the USA) has increased by 175%. Increases of 67% and 175% were reported in Central and South America respectively. The countries with the greatest increases in the prison population are Nicaragua (67%), Ecuador (37%), El Salvador (23%), Argentina (16%) and Peru (12%)4.
Several studies have shown that the prison population has higher prevalences of sexually transmitted diseases, infectious diseases, chronic illnesses and mental disorders5-6. Some characteristics of this population sub-group, such as poverty, overcrowding inside prisons and low educational levels have been linked to a high-burden disease load7. It has been identified that women, persons of 55 years of age and over and young people present highest morbidity from infectious and chronic diseases in comparison with other inmates8. The increase in disease burden amongst inmates represents a challenge in public health terms, because this population returns to the community at some point with their health in worsened conditions and without treatment.
The prisons in Peru are characterised for being spaces with considerable overcrowding, deteriorated infrastructure and poor healthcare conditions. Consumption of some kind of drugs is frequent amongst inmates, especially those under 18 years of age9. The internal characteristics of the prisons, the patterns of drug use amongst young inmates and the rapid growth of this population10 may exacerbate the risks of transmission of infectious diseases, increase the morbidity of chronic diseases and even increase the risk of mental disorders.
Access to medical treatment in Peruvian prisons is low, mainly because of the lack of medicines in the health services and the lack of money available to prisoners9. Despite the challenge that this represents to public health, there is little in the way of evidence that assesses the health and access to treatment for diseases of this population.
This study sets out to estimate the disease load and access to treatment for different morbidities in the Peruvian prison population.
MATERIALS AND METHODS
An analysis was conducted of secondary data taken from the Peruvian First National Prisons Census 2016, carried out by the National Institute of Statistics and Informatics (Instituto Nacional de Estadística e Informática (INEI)), with the support of the Ministry of Justice and Human Rights, and the National Prisons Institute (Instituto Nacional Penitenciario (INPE)), in April 2016. This included the entire population of the 66 prisons in Peru. The information was collected from a questionnaire with 173 questions, previously validated and subjected to a pilot test with 30 inmates. The test evaluated the effectiveness, structure, sentence formation, understanding of the questions and the alternative ways of answering the questionnaire. It also enabled training strategies on how to manage it to be identified along with the type of language to be used in the registration. Four work teams were organised for the field operations of the pilot test. Each one consisted of two professionals, one of whom was responsible for conducting the interview, while the other observed the proceedings, measured the times used, evaluated the functionality and management of the items used during the training. The data was gathered with a mobile device (tablet). Each person responsible for this process carried out the census in accordance with the instructions they received during training, asking each question from the information gathering instrument. At the end of each interview, the digitally recorded data was checked, and then the information was copied on to an external memory drive. The data gathering monitoring process was carried out at the central office in Lima, Peru.
The data bases were obtained from the website of the INEI (http://iinei.inei.gob.pe/microdatos/) and was analysed with the software Stata® v.14.2 (Stata Corporation, College Station, Texas, U.S.A.). The self-evaluated health variables included in the analysis according to gender were as follows: chronic lung disease, high blood pressure, diabetes mellitus, cancer, tuberculosis, sexually transmitted disease, human immunodeficiency virus (HIV)/AIDS, hepatitis, depression, anxiety and substance addiction.
Firstly, the socio-demographic characteristics of the population were described using absolute frequencies and percentages. Then the absolute frequencies and percentages of the diseases for the total population and for each sex were obtained. To establish if there are differences in the proportions of ill inmates by gender, this was considered as a statistically significant difference if p <0.05. Finally the absolute frequencies and percentages of the presence of a diagnosis of a disease before entering the prison system and access to medical treatment were estimated for the entire population and according to gender.
This study did not require the approval of an ethics committee, since it is an analysis of secondary data that was obtained from a freely accessible public domain that did not permit the surveyed subjects or their prisons to be identified.
RESULTS
The total number of inmates included in the PCNP 2016 was 76,180, but after removing observations due to missing data, 74,130 inmates (97,3%) were included in the analysis. 94.2% of them were male, were 20 and 29 years of age (33.1%), and half of them were married or cohabiting (50.3%). Six of every ten inmates had passed secondary education, and 56.3% had health insurance (Table 1).
Characteristics | Absolute frequency (%) |
---|---|
Sex | |
Male | 69,830 (94.2) |
Female | 4,300 (5.8) |
Age in years | |
<20 | 1,150 (1.5) |
20-29 | 24,523 (33.1) |
30-39 | 23,616 (31.8) |
40-49 | 14,789 (20.0) |
50-59 | 7,192 (9.7) |
≥60 | 2,860 (3.9) |
Marital status | |
Single | 32,500 (43.8) |
Married or cohabiting | 37,255 (50.3) |
Divorced/separated | 3,420 (4.6) |
Widow(er) | 955 (1.3) |
Educational level | |
No formal education | 1,781 (2.4) |
Primary | 18,659 (25.2) |
Secondary | 44,493 (60.0) |
Higher education | 9,197 (12.4) |
Health insurance policy contributor | |
No | 32,371 (43.7) |
Yes | 41,759 (56.3) |
The most prevalent infectious disease amongst inmates is tuberculosis (4.3%), and is more common amongst men than women (4.5 and 1.3%, respectively). Sexually transmitted diseases and HIV/AIDS had a prevalence of 0.8 and 0.4% for the total population (Table 2).
Disease | Total population | Men | Women | P value |
---|---|---|---|---|
Frequency (%) | Frequency (%) | Frequency (%) | ||
Chronic lung disease | ||||
No | 67,895 (91.6) | 64,059 (91.7) | 3,836 (89.2) | <0.001 |
Yes | 6,235 (8.4) | 5,771 (8.3) | 464 (10.8) | |
High blood pressure | ||||
No | 68,994 (93.1) | 65,381 (93.6) | 3,613 (84.0) | <0.001 |
Yes | 5,136 (6.9) | 4,449 (6.4) | 687 (16.0) | |
Diabetes | ||||
No | 72,022 (97.2) | 67,968 (97.3) | 4,054 (94.3) | <0.001 |
Yes | 2,108 (2.8) | 1,862 (2.7) | 246 (5.7) | |
Cancer | ||||
No | 73,876 (99.7) | 69,651 (99.7) | 4,225 (98.3) | <0.001 |
Yes | 254 (0.3) | 179 (0.3) | 75 (1.7) | |
Tuberculosis | ||||
No | 70,918 (95.7) | 66,673 (95.5) | 4,245 (98.7) | <0.001 |
Yes | 3,212 (4.3) | 3,157 (4.5) | 55 (1.3) | |
Sexually transmitted infections | ||||
No | 73,506 (99.2) | 69,289 (99.2) | 4,217 (98.1) | <0.001 |
Yes | 624 (0.8) | 541 (0.8) | 83 (1.9) | |
HIV/AIDS | ||||
No | 73,803 (99.6) | 69,545 (99.6) | 4,258 (99.0) | <0.001 |
Yes | 327 (0.4) | 285 (0.4) | 42 (1.0) | |
Hepatitis | ||||
No | 73,483 (99.1) | 69,219 (99.1) | 4,264 (99.2) | 0.792 |
Yes | 647 (0.9) | 611 (0.9) | 36 (0.8) | |
Depression | ||||
No | 67,022 (90.4) | 63,626 (91.1) | 3,396 (79.0) | <0.001 |
Yes | 7,108 (9.6) | 6,204 (8.9) | 904 (21.0) | |
Anxiety | ||||
No | 67,748 (91.4) | 64,268 (92.0) | 3,480 (80.9) | <0.001 |
Yes | 6,382 (8.6) | 5,562 (8.0) | 820 (19.1) | |
Addiction to psychoactive substances | ||||
No | 72,031 (97.2) | 67,805 (97.1) | 4,226 (98.3) | <0.001 |
Yes | 2,099 (2.8) | 2,025 (2.9) | 74 (1.7) | |
Tuberculosis + HIV/AIDS | ||||
No | 74,058 (99.9) | 69,762 (99.9) | 4,296 (99.9) | 0.928 |
Yes | 72 (0.1) | 68 (0.1) | 4 (0.1) | |
Diabetes + high blood pressure | ||||
No | 73,478 (99.1) | 69,276 (99.2) | 4,202 (97.7) | <0.001 |
Yes | 652 (0.9) | 554 (0.8) | 98 (2.3) | |
Depression + anxiety + addiction to psychoactive substances | ||||
No | 73,786 (99.5) | 69,502 (99.5) | 4,284 (99.6) | 0.311 |
Yes | 344 (0.5) | 328 (0.5) | 16 (0.4) |
The most prevalent chronic diseases amongst inmates are chronic lung disease (8.4%) and hig blood pressure (6.9%). Women reported higher a higher prevalence of chronic diseases in comparison to men. Likewise, depression and anxiety presented an overall prevalence of 9.6% and 8.6%, and were more common amongst women than men (Table 2).
As regards multi-comorbidities, 0.1% of inmates presented tuberculosis and HIV/AIDS, 1.0% suffered from diabetes and high blood pressure and 0.6% had depression plus anxiety plus addiction to psychotropic substances (Table 2).
The diseases that presented the highest percentage of diagnoses prior to entry and the prison system were: hepatitis (61.1%), HIV/AIDS (55.0%), cancer (53.9%) and diabetes (52.9%), while the diseases with a lower percentage of diagnoses were anxiety (10.3%), depression (12.6%) and substance addiction (17.7%). Women presented a higher percentage of diagnosis of diseases, with the exception of cancer and hepatitis (Table 3).
Disease | Disease diagnosed prior to entry into prison system | Inmates with access to treatment | ||||||
---|---|---|---|---|---|---|---|---|
Total n (%) | Men n (%) | Women n (%) | P value | Total n (%) | Men n (%) | Women n (%) | P value | |
Chronic lung disease | 2,950 (47.3) | 2,653 (46.0) | 297 (64.0) | <0.001 | 2,144 (34.4) | 1,912 (33.1) | 232 (50.0) | <0.001 |
High blood pressure | 1,872 (36.5) | 1,568 (35.2) | 304 (44.3) | <0.001 | 2,116 (41.2) | 1,730 (38.9) | 386 (59.2) | <0.001 |
Diabetes | 1,116 (52.9) | 978 (52.5) | 138 (56.1) | 0.290 | 1,254 (59.5) | 1,063 (57.1) | 191 (77.6) | <0.001 |
Cancer | 137 (53.9) | 102 (57.0) | 35 (46.7) | 0.135 | 106 (41.7) | 73 (40.8) | 33 (44.0) | 0.639 |
Tuberculosis | 1,230 (38.3) | 1,205 (38.2) | 25 (45.5) | 0.286 | 1,613 (50.2) | 1,585 (50.2) | 28 (50.9) | 0.918 |
Sexually transmitted infection | 284 (45.5) | 241 (44.5) | 43 (51.8) | 0.220 | 240 (38.5) | 202 (37.3) | 38 (45.8) | 0.152 |
HIV/AIDS | 180 (55.0) | 151 (53.0) | 29 (69.0) | 0.040 | 236 (72.2) | 205 (71.9) | 31 (73.8) | 0.799 |
Hepatitis | 395 (61.1) | 378 (61.9) | 17 (47.2) | 0.092 | 124 (19.2) | 114 (18.7) | 10 (27.8) | 0.239 |
Depression | 892 (12.6) | 718 (11.6) | 174 (19.3) | <0.001 | 1,094 (15.4) | 840 (13.5) | 254 (28.1) | <0.001 |
Anxiety | 656 (10.3) | 546 (9.8) | 110 (13.4) | 0.004 | 744 (11.7) | 596 (10.7) | 148 (18.0) | <0.001 |
Addiction to psycho- active substances | 372 (17.7) | 353 (17.4) | 19 (25.7) | 0.112 | 248 (11.8) | 229 (11.3) | 19 (25.7) | 0.005 |
Access to treatment for inmates varies according to the disease and gender. The diseases wit most access to treatment are HIV/AIDS (72.2%), diabetes (59.5%) and tuberculosis (50.2%); while the diseases with lowest access to treatment are: anxiety (11.7%), substance addiction (11.8%) and depression (15.4%). In general terms, women have more access to treatment of diseases than men (Table 3).
DISCUSSION
This study showed that the diseases most commonly self-reported by inmates were: depression, anxiety, lung disease and high blood pressure. The findings underline the high prevalence of mental illnesses and the need for their diagnosis and treatment in the prison population. In all the diseases, with the exception of hepatitis, the percentage of diagnosis is below 60.0%. Access to medical treatment was generally higher in women than in men.
The estimated prevalence of infectious diseases amongst the prison population is higher than it is amongst the Peruvian general public11-12, which matches the evidence of high-income countries8. The limited privacy and enclosed spaces characteristic of many prisons represents a risk for the propagation of infectious diseases. Likewise, the risk of infection from sexually transmitted diseases increases as a result of inadequate management13 and the possible frequent practice of unprotected sexual relations before and after incarceration14. The prison population is therefore a group that is vulnerable to sexually transmitted diseases.
On the other hand, the prevalence of diabetes reported in the prison population is similar to that of the general public15, while the reported prevalence of high blood pressure amongst inmates is lower than that of the general public (6.9% compared to 13.6%)16. This finding goes against what was reported in another study, which indicates that inmates present a higher prevalence of chronic diseases in comparison to the general public8. One possible explanation for this finding is that most inmates are young and so the morbidity of chronic diseases may be low. Despite the lower proportion of chronic diseases, this segment of the population may have risk behaviours such as intravenous drug use, and consume alcohol and tobacco, which further the development of chronic diseases such as cancer and heart disease.
The high prevalence of mental illness in the prison population matches the results of other studies17-18. The load that such illnesses represent and limited access to medical treatment represent a risk of a return to criminal activities19-21. According to Fazel & Yu20, providing prisoners with medical treatment tends to reduce the rate of relapses into criminal behaviour. When inmates return to society, measures geared towards encouraging social reintegration and the provision of adequate and appropriate medical treatment can help this group and lead to major benefits for public health.
Existing surveillance and healthcare programs in the prison system can be used to promote health and for the medical treatment of inmates. Health promotion programs can be designed that reinforce education about infectious diseases22-23, provide better supervision to reduce sexual abuse inside prison, encourage the use of condoms24, conduct regular medical evaluations and routine check-ups for the early detection of diseases such as cancer, diabetes and HIV/AIDS25.
Programs designed for medical treatment of inmates who are already ill should focus on making access to medical care a universal option. The vulnerable groups inside prison should be given priority. However, there is no information to date in Peru that identifies these groups. Therefore, inequalities in access to medical treatment should be investigated in depth in order to identify vulnerable groups and design adequate intervention programmes. The findings of this study enable the situation regarding the disease load amongst inmates to be described. This information can be used to develop further research that permits more appropriate planning of effective strategies to reduce the disease load.
There are some limitations to this study. The first limitation is that the information from the PCNP is compiled by self-reporting, which makes it sensitive to memory bias and social desires bias. The second is that the information about access to treatment does not come from medical records. The third is that the study uses a non-standardised questionnaire to gather information. However, the pilot test that was carried out validated the questionnaire for the target population of the study. The results obtained in this study are representative for the entire inmate population, and its findings can be used for designing intervention programmes that can improve the health of this group of persons.
CONCLUSIONS
To conclude, the results show that chronic diseases such as lung disease and diabetes are common amongst inmates, especially women. It was also found that mental health problems are prevalent amongst female inmates. Generally speaking, there are low percentages of medical diagnosis and treatment, especially amongst men and for mental disorders. These findings represent an initial starting point for future research and interventions that set out to improve inmates’ health.