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Epidemiologia e Serviços de Saúde

versión impresa ISSN 1679-4974versión On-line ISSN 2237-9622

Epidemiol. Serv. Saúde vol.29 no.1 Brasília  2020  Epub 10-Mar-2020

http://dx.doi.org/10.5123/s1679-49742020000100012 

ORIGINAL ARTICLE

Violence against children and adolescents in Manaus, Amazonas State, Brazil: a descriptive study of cases and evaluation of notification sheet completeness, 2009-2016*

Nathália França de Oliveira (orcid: 0000-0002-7420-4634)1  , Claudia Leite de Moraes (orcid: 0000-0002-3223-1634)2  , Washington Leite Junger (orcid: 0000-0002-6394-6587)2  , Michael Eduardo Reichenheim (orcid: 0000-0001-7232-6745)2 

1Universidade do Estado do Amazonas, Escola Superior de Ciências da Saúde, Manaus, AM, Brazil

2Universidade do Estado do Rio de Janeiro, Instituto de Medicina Social, Rio de Janeiro, RJ, Brazil

Abstract

Objective:

to describe cases of violence against children and adolescents and completeness of notification forms registered on the Notifiable Health Conditions Information System (Sinan), Manaus, Amazonas, Brazil, 2009-2016.

Methods:

this was a descriptive study based on 38 fields of the notification form held on the information system; analysis of completeness was based on the criteria proposed by the Ministry of Health.

Results:

69.3% of the 10,333 reported cases occurred among female children, and parents and step-parents were the perpetrators in 43.0% of cases; among adolescents, about ¼ (24.9%) of cases were committed by friends/acquaintances; sexual violence was the most reported type of violence in both groups; field completeness ranged from 15.1% (occupation) to 100.0% (several fields).

Conclusion:

in contrast to the national scenario, sexual violence was the most reported form of violence in Manaus, indicating that other types of violence are underestimated; data quality points to the need for Sinan improvement in Manaus.

Keywords: Disease Notification; Violence; Child; Adolescent; Epidemiology, Descriptive

Introduction

Violence occurs in great magnitude all over the world and accounts for 1.3 million deaths every year.1 Globally, it is the fourth leading cause of death in the general population and the leading cause of death among people aged 15-44.2 In Brazil, in 2016, around 100,000 cases of violence against children and adolescents were reported. Despite probable underreporting, 2,200 of these cases were notified in the state of Amazonas, while Manaus, the state capital, had a violence rate of 149.1 reported cases per 100,000 children and adolescents.3

Monitoring and analysis of mortality from violent causes is extremely important. Notwithstanding, non-lethal violence occurring in relationships between parents and children cannot be ignored, nor when it involves other family members or acquaintances, among others. These forms of violence have physical, sexual, reproductive, psychological and behavioral consequences highly harmful to the health and well-being of those involved. They also have repercussions in society in general, resulting in intergenerational transmission of violence and delinquency in adolescence.4

In Brazil, notifying the authorities of violence against children and adolescents has been compulsory ever since the advent of the Statute of the Child and Adolescent (ECA) in 1990. Suspected and confirmed cases of violence must be reported to the local Child and Adolescent Protection Council.

Some time later, based on mapping of suspected and/or confirmed cases as one of the first steps in preparing actions to address violence, the Ministry of Health implanted its Violence and Accidence Surveillance system (VIVA) within the Brazilian National Health System (SUS). With effect from the creation of the Violence Module as part of the Notifiable Health Conditions Information System (Sinan) in 2011, as per Ministerial Ordinance GM/MS No. 104, published on January 25th of the same year, violence was included on the list of compulsorily notifiable health conditions.5

Conducting sporadic studies in sentinel health services and monitoring epidemiological indicators generated by Sinan enable analysis of the profile of victims of violence, the places where it occurs most frequently and its trends in time and space.6 In order for the information generated to be useful for planning and implementing effective policies to address violence, it is fundamental for data to be valid, reliable, timely, up to date and to have high coverage.

Following VIVA recommendations, Manaus incorporated violence surveillance into Sinan in 2009. The information generated must be analyzed and publicized so that its relevance among the population can be estimated and so that the effectiveness of control measures can be evaluated. The success of this analysis depends on the quality of the system as a whole, right from case identification through to notification. The number of studies using VIVA data on the country’s Northern region is scarce and little is known about the quality of notification in this region of the country.

This study aims to describe cases of violence against children and adolescents and completeness of notification forms recorded on Sinan in relation to Manaus, AM, between 2009 and 2016.

Methods

This was a descriptive study of data from notification forms of interpersonal/self-inflicted violence held on Sinan in relation to Manaus for the period January 2009 to December 2016. Manaus is the capital of the state of Amazonas. It is located in Brazil’s Northern region and occupies a geographic area of 11,401.092km². According to the 2010 Demographic Census, its population was comprised of 2,145,444 inhabitants, 683,656 of whom were children and adolescents.7

Cases of violence against this age group are defined as: (i) violence against children, involving individuals aged 0 to 9 years old, and (ii) violence against adolescents, involving individuals aged 10 to 19 years old, whether suspected or confirmed, involving situations of domestic, sexual and self-inflicted violence, human trafficking, slave labor, child labor, legal intervention and homophobic violence, regardless of the victim’s sex.8

The variables listed below were studied in order to obtain a profile of the cases. It should be noted that these variables did not alter when the Sinan notification form was updated in June 2015. Variables characterizing victims (age, sex, race/skin color, schooling and presence of disability/disorder); variables characterizing the incident (notification source, type of violence, place, time of day, first time or recurrence, self-inflicted injury or interpersonal violence, and type of aggression); and variables characterizing the perpetrator (sex, relationship with the victim, suspected use of alcohol and number of people involved).

In order to estimate notification magnitude over the years selected, we calculated the notification rate for violence against children and violence against adolescents (per 100,000 inhabitants) by diving the number of cases per type of violence each year by the population aged 0-9 years old (children) and 10-19 years old (adolescents), as estimated by the Brazilian Institute of Geography and Statistics (IBGE) for the respective years under analysis. In addition to the notification rate, we also analyzed distribution of absolute and relative frequencies of notifications per year, considering the variables described above, for children and for adolescents. In order to analyze distribution of notification sources by healthcare level, we used the identification numbers of health service listed on the National Health Establishment Registry (CNES).

Analysis of completeness was done year by year, initially based on percentage completion of each field on the notification form, and then based on percentage completion of the form as a whole. In order to evaluate this latter aspect, we calculated the percentage of ‘unknown/blank’ fields in relation to the total number of fields on the notification form. With regard to compliance with Health Ministry guidelines, field completeness was considered to be: good, when 75.1% of forms had a given field filled in; regular, when between 50.1% and 75.0% were filled in; low, when 25.1% to 50.0% were filled in; and very low when 25% or less were filled in.9 The same cut-off points were used to assess form completeness as a whole. In the case of incidents with multiple choice variables, ‘unknown/blank’ data were defined as situations in which no reply options were given. The percentage of missing data per violence type was also assessed. The data were analyzed using version 3.2.2 of the R application.10

The study project was not submitted to a Research Ethics Committee because public domain secondary data were used, as provided by the Health Ministry’s Health Surveillance Secretariat (SVS/MS) in January 2018. The data did not disclose any information enabling case identification.

Results

During the period 2009-2016, 10,333 cases of violence involving children and adolescents were notified, divided between 4,638 children and 5,695 adolescents. There was a 51.9% increase in notifications involving children between the first and the last years analyzed. There was a 73.7% increase among adolescents in the same period.

Figure 1 shows notification rates according to the different types of violence against children and adolescents over the years. Sexual violence was the most reported type of violence against children, reaching a peak in 2013 with a rate corresponding to 135.3 cases per 100,000 children; the same occurred with adolescents, reaching a rate of 194.2 cases/100,000 adolescents in the same year.

Figure 1 - Notification rates (per 100,000 individuals) by type of violence in children (A) and adolescents (B), Manaus, Amazonas, 2009-2016 

Table 1 describes cases involving children, by year of notification. Taking these notifications as a whole, in almost half the cases the victim was between 1 and 5 years old. The percentage of cases of children under 1 year old was found to have doubled in the period studied, comparing 2009 with 2016. More than 2/3 of recorded cases of violence affected female children. Almost 70.0% of cases were of brown race/skin color. The majority of affected children did not attend school. Out of total cases of violence notified, 2.1% involved children diagnosed as having a disability or disorder.

Table 1 - Distribution of number and percentage of notifications of interpersonal/self-inflicted violence in children by year of notification, Manaus, Amazonas, 2009-2016 

Information fields 2009 2010 2011 2012 2013 2014 2015 2016 Total
N=439 N=388 N=558 N=542 N=735 N=588 N=721 N=667 N=4,638
n % n % n % n % n % n % n % n % n %
Characterization of the victim
Age range (in years)
<1 61 13.9 47 12.1 96 17.2 64 11.8 66 9.0 71 12.1 94 13.0 193 29.0 692 14.9
1-5 216 49.2 177 45.6 239 42.8 264 48.7 355 48.3 281 47.8 359 49.8 261 39.1 2.152 46.4
6-9 162 36.9 164 42.3 223 40.0 214 39.5 314 42.7 236 40.1 268 37.2 213 31.9 1.794 38.7
Sex
Female 280 63.8 275 70.9 359 64.3 371 68.5 496 67.5 409 69.6 511 70.9 515 77.2 3.216 69.3
Male 159 36.2 113 29.1 199 35.7 171 31.5 239 32.5 179 30.4 210 29.1 152 22.8 1.422 30.7
Race/skin color
Brown 317 72.2 273 70.4 403 72.2 412 76.0 529 72.0 478 81.3 456 63.2 362 54.3 3.230 69.6
White 89 20.3 78 20.1 77 13.8 86 15.9 127 17.3 63 10.7 70 9.7 55 8.2 645 13.9
Black 4 0.9 7 1.8 5 0.9 5 0.9 14 1.9 9 1.5 6 0.8 6 0.9 56 1.2
Indigenous 3 0.7 - - 7 1.3 1 0.2 4 0.5 - - - - 4 0.6 19 0.5
Yellow 3 0.7 2 0.5 4 0.7 5 0.9 9 1.2 - - 4 0.6 6 0.9 33 0.7
Unknown/blank 23 5.2 28 7.2 62 11.1 33 6.1 52 7.1 38 6.5 185 25.7 234 35.1 655 14.1
Schooling
Illiterate 2 0.5 3 0.8 - - 5 1.0 7 1.0 3 0.5 5 0.7 3 0.5 28 0.6
Incomplete elementary education 106 24.1 105 27.0 135 24.2 142 26.2 217 29.5 143 24.3 159 22.0 140 21.0 1.147 24.7
Does not apply 315 71.8 263 67.8 390 69.9 372 68.6 482 65.6 414 70.4 519 72.0 495 74.2 3.250 70.1
Unknown/blank 16 3.6 17 4.4 33 5.9 23 4.2 29 3.9 28 4.8 38 5.3 29 4.3 213 4.6
Disability/disorder
Yes 15 3.4 7 1.8 18 3.2 16 3.0 14 1.9 15 2.6 9 1.2 4 0.6 98 2.1
No 305 69.5 302 77.8 391 70.1 443 81.7 525 71.4 284 48.3 386 53.5 412 61.8 3.048 65.7
Unknown/blank 119 27.1 79 20.4 149 26.7 83 15.3 196 26.7 289 49.1 326 45.2 251 37.6 1.492 32.2
Characterization of incident
Notifying sources
Primary care 4 0.9 8 2.1 5 0.9 9 1.7 17 2.3 15 2.5 10 1.4 15 2.2 83 1.8
Medium complexity 8 1.8 11 2.8 8 1.4 12 2.2 18 2.5 13 2.2 10 1.4 3 0.5 83 1.8
High complexity 424 96.6 311 80.2 483 86.6 431 79.5 533 72.5 425 72.3 588 81.5 521 78.1 3.716 80.1
Other 3 0.7 58 14.9 62 11.1 90 16.6 167 22.7 135 23.0 113 15.7 128 19.2 756 16.3
Place of incident
Residence 212 48.3 246 63.4 314 56.3 356 65.7 495 67.3 408 69.4 400 55.5 343 51.5 2.774 59.8
Street 7 1.6 4 1.0 10 1.8 11 2.0 10 1.4 19 3.2 8 1.1 8 1.2 77 1.7
Public thoroughfare 3 0.7 18 4.6 19 3.4 13 2.4 17 2.3 10 1.7 15 2.1 6 0.9 101 2.2
Other 150 34.2 83 21.4 156 27.9 114 21.0 139 18.9 100 17.0 116 16.1 83 12.4 941 20.3
Unknown/blank 67 15.2 37 9.5 59 10.6 48 8.9 74 10.1 51 8.7 182 25.2 227 34.0 745 16.0
Time of day of incident
Morning (6 a.m. - 11.59 a.m.) 32 7.3 37 9.6 44 7.9 53 9.8 81 11.0 71 12.1 93 12.9 72 10.8 483 10.4
Afternoon (12 p.m. - 5.59 p.m.) 40 9.1 57 14.7 70 12.5 86 15.9 137 18.6 101 17.2 145 20.1 109 16.3 745 16.1
Night (6 p.m. - 11.59 p.m.) 26 5.9 23 5.9 50 9.0 78 14.4 116 15.8 81 13.8 61 8.5 73 10.9 508 11.0
Early morning (0.00 a.m. - 5.59 a.m.) 6 1.4 6 1.5 8 1.4 15 2.7 35 4.8 29 4.9 12 1.6 18 2.8 129 2.8
Unknown/blank 335 76.3 265 68.3 386 69.2 310 57.2 366 49.8 306 52.0 410 56.9 395 59.2 2.773 59.8
Recurrence
Yes 126 28.7 148 38.1 170 30.5 186 34.3 251 34.1 218 37.1 116 16.1 63 9.4 1.278 27.6
No 91 20.7 95 24.5 142 25.4 200 36.9 232 31.6 192 32.7 272 37.7 275 41.2 1.499 32.3
Unknown/blank 222 50.6 145 37.4 246 44.1 156 28.8 252 34.3 178 30.3 333 46.2 329 49.3 1.861 40.1
Self-inflicted injury
Yes 9 2.1 1 0.3 - - - - - - - - 9 1.2 9 1.3 28 0.6
No 263 59.9 365 94.0 556 99.6 541 99.8 735 100.0 587 99.8 545 75.6 376 56.4 3.968 85.6
Unknown/blank 167 38.0 22 5.7 2 0.4 1 0.2 - - 1 0.2 167 23.2 282 42.3 642 13.8
Type of aggression
Body force/beating 83 18.9 87 22.4 127 22.8 113 20.8 132 18.0 108 18.4 79 11.0 33 4.9 762 16.4
Threat 84 19.1 97 25.0 111 19.9 104 19.2 111 15.1 85 14.4 42 5.8 10 1.6 644 13.9
Firearm 7 1.6 3 0.8 6 1.1 5 0.9 4 0.5 1 0.2 - - 3 0.4 29 0.6
Other 195 44.4 130 33.5 241 43.2 254 46.9 350 47.6 313 53.2 439 60.9 447 67.0 2.369 51.1
Unknown/blank 70 16.0 71 18.3 73 13.1 66 12.2 138 18.8 81 13.8 161 22.3 174 26.1 834 18.0
Characterization of perpetrator
Sex
Male 241 54.9 262 67.5 324 58.1 348 64.2 481 65.4 365 62.1 305 42.3 325 48.7 2.651 57.2
Female 51 11.6 39 10.1 82 14.7 41 7.6 121 16.5 97 16.5 133 18.4 62 9.3 626 13.4
Both sexes 11 2.5 12 3.1 19 3.4 20 3.7 27 3.7 28 4.7 33 4.6 34 5.1 184 4.0
Unknown/blank 136 31.0 75 19.3 133 23.8 133 24.5 106 14.4 98 16.7 250 34.7 246 36.9 1.177 25.4
Relationship with the victim
Father/mother/stepfather/stepmother 216 49.2 164 42.3 274 49.1 242 44.6 331 45.0 276 46.9 295 40.9 212 31.8 2.010 43.3
Friends/acquaintances 74 16.9 103 26.5 93 16.7 127 23.4 132 18.0 113 19.2 93 12.9 96 14.4 831 17.9
Strangers 11 2.5 13 3.4 18 3.2 16 3.0 36 4.9 21 3.6 11 1.5 16 2.4 142 3.1
Other 131 29.8 99 25.5 148 26.5 149 27.5 228 31.0 174 29.6 219 30.4 286 42.9 1.434 30.9
Unknown/blank 7 1.6 9 2.3 25 4.5 8 1.5 8 1.1 4 0.7 103 14.3 57 8.5 221 4.8
Suspected use of alcohol
Yes 39 8.9 42 10.8 59 10.6 56 10.3 70 9.5 46 7.8 26 3.6 41 6.1 379 8.2
No 167 38.0 171 44.1 227 40.7 228 42.1 325 44.2 236 40.2 262 36.3 149 22.4 1.765 38.0
Unknown/blank 233 53.1 175 45.1 272 48.7 258 47.6 340 46.3 306 52.0 433 60.1 477 71.5 2.494 53.8
Number of people involved
One 278 63.3 293 75.5 409 73.3 414 76.4 556 75.6 439 74.7 401 55.6 352 52.8 3.142 67.7
Two or more 56 12.8 45 11.6 71 12.7 59 10.9 66 9.0 51 8.6 56 7.8 68 10.2 472 10.2
Unknown/blank 105 23.9 50 12.9 78 14.0 69 12.7 113 15.4 98 16.7 264 36.6 247 37.0 1.024 22.1

The main sources of notification were high complexity healthcare services, divided between maternity hospitals (57.7%), general hospitals (39.7%) and accident and emergency services (2.6%). With effect from 2012, cases reported by other sectors, such as the Coroner’s Office (IML) and public schools, were also relevant sources of notification. The majority of violent episodes took place at the victim’s home. Although oscillations were observed over the years selected, a decrease was found in the number of records involving other places where violence occurred, taking the period as a whole. In more than ¼ of cases, violence occurred more than once during the child’s lifetime. Some 85.0% of situations were not self-inflicted.

A significant part of cases (30.3%) involved use of physical force/beating or threats as the type of aggression. The use of blunt, sharp or hot objects was also relevant in the final years of the study. With regard to the characteristics of the probable perpetrator, 57.2% were male. In 43.3% of notifications, the perpetrator was a parent of the victim. Finally, in ⅔ of the cases the perpetrators acted alone.

Table 2 shows the characteristics of notified cases of violence against adolescents. The most affected age range was that comprising 10-14 year-olds (70.7%). The female sex accounted for 87.4% of cases. The majority of these adolescents were of brown race/skin color (70.2%). Adolescent schooling level in around ⅔ of cases was incomplete elementary education. No form of disability or disorder was found in almost – of notifications. The main sources of notification were maternity hospitals (69.1%), general hospitals (23.0%) and accident and emergency services (7.9%). Primary healthcare accounted for only 2.0% of notifications. The victim’s home was the main place of occurrence (60.1%). Self-inflicted harm appeared in less than 4.0% of cases. Physical force and/or beating (29.7%) and threats (23.8%) were the most used types of aggression. Among adolescents a constantly increasing trend was also found in the use of other forms of aggression, including blunt and sharp objects, hot substances/objects and also poisoning/intoxication. Males were the main perpetrators throughout the entire period, accounting for 80.0% of cases. Despite a high percentage being characterized as ‘other’, a considerable part of the situations of violence were committed by friends or acquaintances. As with the group of children, in the majority of cases involving adolescents the perpetrators also acted alone (73.0%).

Table 2 - Distribution of number and percentage of notifications of interpersonal/self-inflicted violence in adolescents by year of notification, Manaus, Amazonas, 2009-2016 

Information fields 2009 2010 2011 2012 2013 2014 2015 2016 Total
N=376 N=451 N=685 N=848 N=995 N=847 N=840 N=653 N=5,695
n % n % n % n % n % n % n % n % n %
Characterization of the victim
Age range (in years)
10-14 272 72.3 335 74.3 451 65.8 553 65.2 700 70.4 612 72.3 624 74.3 481 73.7 4.028 70.7
15-19 104 27.7 116 25.7 234 34.2 295 34.8 295 29.6 235 27.7 216 25.7 172 26.3 1.667 29.3
Sex
Female 334 88.8 402 89.1 568 82.9 686 80.9 875 87.9 757 89.4 765 91.1 592 90.7 4.979 87.4
Male 42 11.2 49 10.9 117 17.1 162 19.1 120 12.1 90 10.6 75 8.9 61 9.3 716 12.6
Race/skin color
Brown 269 71.5 316 70.1 409 59.7 529 62.4 713 71.7 715 84.4 559 66.5 486 74.4 3.996 70.2
White 72 19.1 88 19.4 96 14.0 108 12.7 150 15.1 75 8.9 64 7.6 52 8.0 705 12.4
Black 13 3.5 8 1.8 12 1.8 21 2.5 23 2.3 12 1.4 19 2.3 11 1.7 119 2.0
Indigenous 7 1.9 3 0.7 24 3.5 2 0.2 7 0.7 5 0.6 2 0.2 2 0.3 52 0.9
Yellow 4 1.1 8 1.8 4 0.6 13 1.6 14 1.4 4 0.4 3 0.4 - - 50 0.9
Unknown/blank 11 2.9 28 6.2 140 20.4 175 20.6 88 8.8 36 4.3 193 23.0 102 15.6 773 13.6
Schooling
Illiterate 1 0.3 7 1.6 2 0.3 5 0.6 5 0.5 6 0.7 6 0.7 4 0.6 36 0.6
Incomplete elementary education 258 68.6 307 68.1 362 52.8 493 58.1 644 64.7 593 70.0 528 62.9 409 62.6 3.594 63.1
Complete elementary education + Incomplete high school education 49 13.0 73 16.2 96 14.0 106 12.5 149 15.0 113 13.3 125 14.9 108 16.5 819 14.5
Complete high school education or over 8 2.1 12 2.6 28 4.1 26 3.1 40 4.0 21 2.5 14 1.6 18 2.8 167 2.9
Does not apply 1 0.3 - - - - - - - - - - 1 0.1 - - 2 -
Unknown/blank 59 15.7 52 11.5 197 28.8 218 25.7 157 15.8 114 13.5 166 19.8 114 17.5 1.077 18.9
Disability/disorder
Yes 12 3.2 23 5.1 24 3.5 25 2.9 25 2.5 26 3.0 20 2.4 17 2.6 172 3.0
No 332 88.3 382 84.7 527 76.9 619 73.0 759 76.3 424 50.1 438 52.1 503 77.0 3.984 70.0
Unknown/blank 32 8.5 46 10.2 134 19.6 204 24.1 211 21.2 397 46.9 382 45.5 133 20.4 1.539 27.0
Characterization of incident
Notifying sources
Primary care 5 1.3 6 1.3 13 1.9 10 1.2 35 3.5 14 1.7 18 2.1 14 2.1 115 2.0
Medium complexity 3 0.8 4 0.9 3 0.4 15 1.8 17 1.7 8 0.9 3 0.4 4 0.6 57 1.0
High complexity 364 96.8 334 74.1 541 79.0 670 79.0 662 66.6 594 70.1 619 73.7 547 83.8 4.331 76.1
Other 4 1.1 107 23.7 128 18.7 153 18.0 281 28.2 231 27.3 200 23.8 88 13.5 1.192 20.9
Place of incident
Residence 180 47.9 253 56.1 377 55.0 489 57.7 623 62.6 583 68.8 504 60.0 413 63.2 3.422 60.1
Street 37 9.8 51 11.3 78 11.4 69 8.1 94 9.4 113 13.3 72 8.6 69 10.6 583 10.2
Public thoroughfare 6 1.6 19 4.2 11 1.6 15 1.7 17 1.7 15 1.8 7 0.8 6 0.9 96 1.7
Other 117 31.1 84 18.6 110 16.1 110 13.0 147 14.8 89 10.6 86 10.2 56 8.6 799 14.0
Unknown/blank 36 9.6 44 9.8 109 15.9 165 19.5 114 11.5 47 5.5 171 20.4 109 16.7 795 14.0
Time of day of incident
Morning (6 a.m. - 11.59 a.m.) 34 9.0 37 8.2 71 10.4 84 9.9 131 13.2 118 13.9 114 13.6 96 14.7 685 12.0
Afternoon (12 p.m. - 5.59 p.m.) 33 8.8 58 12.9 82 12.0 132 15.6 167 16.8 190 22.4 157 18.7 118 18.1 937 16.5
Night (6 p.m. - 11.59 p.m.) 40 10.6 53 11.8 133 19.4 122 14.4 217 21.8 193 22.8 159 18.9 146 22.4 1.063 18.6
Early morning (0.00 a.m. - 5.59 a.m.) 13 3.5 24 5.2 49 7.1 66 7.7 85 8.5 86 10.2 65 7.7 66 10.0 454 8.0
Unknown/blank 256 68.1 279 61.9 350 51.1 444 52.4 395 39.7 260 30.7 345 41.1 227 34.8 2.556 44.9
Recurrence
Yes 143 38.0 229 50.8 270 39.4 327 38.5 405 40.7 384 45.3 179 21.3 102 15.6 2.039 35.8
No 160 42.6 158 35.0 262 38.3 339 40.0 456 45.8 396 46.8 406 48.3 385 59.0 2.562 45.0
Unknown/blank 73 19.4 64 14.2 153 22.3 182 21.5 134 13.5 67 7.9 255 30.4 166 25.4 1.094 19.2
Self-inflicted injury
Yes 19 5.0 26 5.8 49 7.2 20 2.4 17 1.8 11 1.3 25 3.0 26 4.0 193 3.4
No 265 70.5 333 73.8 492 71.8 650 76.6 880 88.4 784 92.6 581 69.1 486 74.4 4.471 78.5
Unknown/blank 92 24.5 92 20.4 144 21.0 178 21.0 98 9.8 52 6.1 234 27.9 141 21.6 1.031 18.1
Type of aggression
Body force/beating 156 41.5 165 36.6 233 34.0 263 31.0 359 36.1 273 32.2 176 21.0 68 10.4 1.693 29.7
Threat 135 35.9 166 36.8 236 34.5 236 27.8 240 24.1 210 24.8 90 10.7 40 6.1 1.353 23.8
Firearm 24 6.4 21 4.7 48 7.0 73 8.6 56 5.6 40 4.7 26 3.1 11 1.7 299 5.3
Other 24 6.4 56 12.4 108 15.7 163 19.3 276 27.8 277 32.8 404 48.1 495 75.8 1.803 31.6
Unknown/blank 37 9.8 43 9.5 60 8.8 113 13.3 64 6.4 47 5.5 144 17.1 39 6.0 547 9.6
Characterization of perpetrator
Sex
Male 311 82.7 407 90.2 532 77.7 652 76.9 824 82.8 717 84.7 585 69.6 526 80.6 4.554 80.0
Female 18 4.8 10 2.2 21 3.1 25 2.9 60 6.0 65 7.7 63 7.5 30 4.6 292 5.1
Both sexes 6 1.6 5 1.2 9 1.2 9 1.1 15 1.6 9 1.0 11 1.4 8 1.2 72 1.3
Unknown/blank 41 10.9 29 6.4 123 18.0 162 19.1 96 9.6 56 6.6 181 21.5 89 13.6 777 13.6
Relationship with the victim
Father/mother/stepfather/stepmother 68 18.1 81 18.0 105 15.3 130 15.3 192 19.3 201 23.7 157 18.7 137 21.0 1.071 18.8
Friends/acquaintances 105 27.9 145 32.2 159 23.2 208 24.5 226 22.7 254 30.0 174 20.7 145 22.2 1.416 24.9
Strangers 81 21.6 78 17.3 133 19.5 148 17.5 184 18.5 144 17.0 122 14.5 102 15.6 992 17.4
Other 120 31.9 146 32.3 211 30.8 233 27.5 389 39.1 244 28.8 272 32.4 250 38.3 1.865 32.7
Unknown/blank 2 0.5 1 0.2 77 11.2 129 15.2 4 0.4 4 0.5 115 13.7 19 2.9 351 6.2
Suspected use of alcohol
Yes 57 15.2 91 20.2 100 14.6 127 15.0 164 16.5 107 12.6 100 11.9 102 15.6 848 14.9
No 167 44.4 221 49.0 296 43.2 329 38.8 442 44.4 348 41.1 378 45.0 244 37.4 2.425 42.6
Unknown/blank 152 40.4 139 30.8 289 42.2 392 46.2 389 39.1 392 46.3 362 43.1 307 47.0 2.422 42.5
Number of people involved
One 288 76.6 350 77.6 478 69.8 584 68.9 759 76.3 666 78.6 555 66.0 478 73.2 4.158 73.0
Two or more 53 14.1 68 15.1 85 12.4 97 11.4 130 13.0 104 12.3 92 11.0 74 11.3 703 12.4
Unknown/blank 35 9.3 33 7.3 122 17.8 167 19.7 106 10.7 77 9.1 193 23.0 101 15.5 834 14.6

When considering the notification forms for the period 2009-2016, an increase was found in the percentage of unknown or blank information, above all in 2014 and 2015, for the fields referring to race/skin color, place of incident, recurrence, self-inflicted injury, sex of the perpetrator and number of people involved in the incident. When tabulating the percentage of missing data relating to these variables and types of violence, we found that the greater part of this missing information occurred in situations of sexual violence. In addition, more than 40.0% of notifications provided no information about the time of day of the incident or whether the perpetrator was suspected of alcohol use.

When analyzing notification form completeness as a whole, we found that completeness of 81.4% and 85.3% of notifications of violence against children and adolescents was good, 10.3% and 7.0% were classified as regular, 5.0% and 5.9% had low information recording, and 3.3% and 1.8% had very low completeness, respectively.

Table 3 shows completeness of notification forms of violence against children according to percentage completeness of each of the fields. Completeness was good for around 79.0% of fields analyzed. We found that required fields were fully filled in. Completeness was good in the first years of analysis but only regular in the following years for the fields recording victim’s race/skin color and diagnosis of victim having disability/disorder. When the form was initially implanted, victim’s occupation had low completeness, but in 2016 completeness was very low. With regard to characterization of the incident, we found that time, recurrence and circumstances of injury had very low completeness initially, increasing to regular in the final years analyzed. Completeness of the field for recording suspected alcohol use was regular for most of the period.

Table 3 - Completeness of child interpersonal/self-inflicted violence notification form fields, Manaus, Amazonas, 2009-2016 

Information fields 2009 2010 2011 2012 2013 2014 2015 2016
N=439 N=388 N=558 N=542 N=735 N=588 N=721 N=667
n % n % n % n % n % n % n % n %
General data
Notification datea 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Notificationa UFb 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Notification municipalitya 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Notifying unita 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Incident datea 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Information about the victim
Date of birtha 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Agea 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Sexa 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Pregnanta 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 666 99.9
Race/skin color 416 94.8 360 92.8 496 88.9 509 93.9 683 92.9 550 93.5 536 74.3 433 64.9
Schooling 423 96.4 371 95.6 525 94.1 519 95.8 706 96.0 560 95.2 683 94.7 638 95.6
UFb of residencea 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Municipality of residencea 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 720 99.9 667 100.0
Zone of residence 428 97.5 385 99.2 551 98.7 536 98.9 733 99.7 581 98.8 705 97.8 636 95.4
Occupation 180 41.0 184 47.4 207 37.1 216 39.8 334 45.4 209 35.5 109 15.1 104 15.6
Marital status 437 99.5 386 99.5 556 99.6 541 99.8 735 100.0 588 100.0 620 86.0 614 92.1
Disability/disorder 320 72.9 309 79.6 410 73.5 459 84.7 540 73.5 301 51.2 395 54.8 417 62.5
Type of disability/disorder 431 98.2 378 97.4 536 96.1 538 99.3 731 99.5 581 98.8 594 82.4 611 91.6
Information about the incident
UFb 421 95.9 348 89.7 527 94.4 517 95.4 685 93.2 523 88.9 620 86.0 615 92.2
Municipality 423 96.4 344 88.7 518 92.8 511 94.3 679 92.4 517 87.9 620 86.0 612 91.8
Zone 377 85.9 349 89.9 520 93.2 506 93.4 656 89.3 532 90.5 563 78.1 519 77.8
Time 104 23.7 123 31.7 172 30.8 232 42.8 369 50.2 282 48.0 311 43.1 272 40.8
Place 372 84.7 351 90.5 499 89.4 494 91.1 661 89.9 537 91.3 539 74.8 440 66.0
Occurred previously 217 49.4 243 62.6 312 55.9 386 71.2 483 65.7 410 69.7 388 53.8 338 50.7
Self-inflicted injury 272 62.0 366 94.3 556 99.6 541 99.8 735 100.0 587 99.8 554 76.8 385 57.7
Information about violence
Type of violence 433 98.6 384 99.0 558 100.0 540 99.6 735 100.0 587 99.8 620 86.0 615 92.2
Type of aggression 369 84.0 317 81.7 485 86.9 476 87.8 597 81.2 507 86.2 560 77.7 493 73.9
Type of sexual violence 428 97.5 364 93.8 525 94.1 530 97.8 700 95.2 561 95.4 608 84.3 608 91.1
Procedure performed 429 97.7 371 95.6 552 98.9 540 99.6 732 99.6 587 99.8 615 85.3 613 91.9
Information about perpetrator of violence
Number of people involved 334 76.1 338 87.1 480 86.0 473 87.3 622 84.6 490 83.3 457 63.4 420 63.0
Relationship with victim 432 98.4 379 97.7 533 95.5 534 98.5 727 98.9 584 99.3 618 85.7 610 91.5
Sex of probable perpetrator 303 69.0 313 80.7 425 76.2 409 75.5 629 85.6 490 83.3 471 65.3 421 63.1
Suspected use of alcohol 206 46.9 213 54.9 286 51.3 284 52.4 395 53.7 282 47.9 288 39.9 190 28.5
Other information
Referral 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0
Work-related violence 370 84.3 334 86.1 460 82.4 500 92.3 684 93.1 531 90.3 511 70.9 454 68.1
CATc issued 403 91.8 377 97.2 531 95.2 537 99.1 716 97.4 575 97.8 614 85.2 614 92.0
Circumstances of injury 163 37.1 182 46.9 181 32.4 223 41.1 296 40.3 279 47.4 318 44.1 366 54.9
Data of case closurea 439 100.0 388 100.0 558 100.0 542 100.0 735 100.0 588 100.0 721 100.0 667 100.0

a) Notification form required field.

b) UF: Federative Unit.

c) CAT: Communication of Accident at Work.

With regard to notifications involving adolescents (Table 4), completeness classification was good for 82.0% of fields over the entire analysis period. However, completeness of some fields, such as pregnant victim and victim diagnosed as having disability/disorder, for instance, was classified as regular in 2013 and 2014, respectively, and completeness of fields relating to occupation and recurrence was regular in 2015. On the other hand, completeness improved for the field recording the time of incident, which started as low and became regular with effect from 2013, while completeness of the injury circumstances field started as low and became good in the last year analyzed.

Table 4 - Completeness of adolescent interpersonal/self-inflicted violence notification form fields, Manaus, Amazonas, 2009-2016 

Information fields 2009 2010 2011 2012 2013 2014 2015 2016
N=376 N=451 N=685 N=848 N=995 N=847 N=840 N=653
n % n % n % n % n % n % n % n %
General data
Notification datea 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Notificationa UFb 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Notification municipalitya 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Notifying dataa 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Incident datea 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Information about the victim
Date of birtha 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Agea 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Sexa 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Pregnanta 337 89.6 392 86.9 569 83.1 661 77.9 642 64.5 520 61.4 425 50.6 325 49.8
Race/skin color 365 97.1 423 93.8 545 79.6 673 79.4 907 91.2 811 95.7 647 77.0 551 84.4
Schooling 317 84.3 399 88.5 488 71.2 630 74.3 838 84.2 733 86.5 674 80.2 539 82.5
UFb of residencea 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Municipality of residencea 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Zone of residence 369 98.1 450 99.8 671 97.9 835 98.5 991 99.6 838 98.9 819 97.5 634 97.1
Occupation 316 84.0 371 82.3 462 67.4 560 66.0 774 77.8 650 76.7 322 38.3 158 24.2
Marital status 370 98.4 415 92.0 582 85.0 697 82.2 892 89.6 755 89.1 561 66.8 305 46.7
Disability/disorder 344 91.5 405 89.8 552 80.6 644 75.9 784 78.8 450 53.1 458 54.5 520 79.6
Type of disability/disorder 375 99.7 442 98.0 626 91.4 816 96.2 989 99.4 847 100.0 721 85.8 635 97.2
Information about the incident
UFb 368 97.9 422 93.6 626 91.4 791 93.3 909 91.4 834 98.5 730 86.9 636 97.4
Municipality 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0
Zone 320 85.1 421 93.3 605 88.3 760 89.6 887 89.1 804 94.9 661 78.7 623 95.4
Time 120 31.9 172 38.1 335 48.9 404 47.6 600 60.3 587 69.3 495 58.9 426 65.2
Place 340 90.4 407 90.2 576 84.1 683 80.5 881 88.5 800 94.4 669 79.6 544 83.3
Occurred previously 303 80.6 387 85.8 532 77.7 666 78.5 861 86.5 780 92.1 585 69.6 487 74.6
Self-inflicted injury 284 75.5 359 79.6 541 79.0 670 79.0 897 90.2 795 93.9 606 72.1 512 78.4
Information about violence
Type of violence 374 99.5 448 99.3 685 100.0 845 99.6 994 99.9 845 99.8 730 87.1 636 97.4
Type of aggression 339 90.2 408 90.5 625 91.2 735 86.7 931 93.6 800 94.5 696 82.9 614 94.0
Type of sexual violence 369 98.1 442 98.0 599 87.4 713 84.1 976 98.1 830 98.0 726 86.4 627 96.0
Procedure performed 365 97.1 425 94.2 656 95.8 799 94.2 974 97.9 827 97.6 644 76.7 466 71.4
Information about perpetrator of violence
Number of people involved 341 90.7 418 92.7 563 82.2 681 80.3 889 89.3 770 90.9 647 77.0 552 84.5
Relationship with victim 374 99.5 450 99.8 608 88.8 719 84.8 991 99.6 843 99.5 725 86.3 634 97.1
Sex of probable perpetrator 335 89.1 422 93.6 562 82.0 686 80.9 899 90.4 791 93.4 659 78.4 564 86.4
Suspected use of alcohol 224 59.6 312 69.2 396 57.8 456 53.8 606 60.9 455 53.7 478 56.9 346 53.0
Other information
Referral 376 100.0 451 100.0 683 99.7 846 99.8 995 100.0 847 100.0 840 100.0 653 100.0
Work-related violence 324 86.2 420 93.1 579 84.5 709 83.6 917 92.2 802 94.7 633 75.4 552 84.5
CATc issued 336 89.4 437 96.9 600 87.6 809 95.4 979 98.4 836 98.7 723 86.1 634 97.1
Circumstances of injury 156 41.5 240 53.2 242 35.3 357 42.1 447 44.9 479 56.6 440 52.4 489 74.9
Data of case closurea 376 100.0 451 100.0 685 100.0 848 100.0 995 100.0 847 100.0 840 100.0 653 100.0

a) Notification form required field.

b) UF: Federative Unit.

c) CAT: Communication of Accident at Work.

Discussion

This study pointed to an increase in the number of notified cases of violence against children and adolescents in Manaus between 2009 and 2013. The number of cases of violence involving children was lower than that involving adolescents. Sexual violence was the most notified type of violence. Variables comprising characterization of incident of violence and its probable perpetrator had the highest proportions of incompleteness.

The increase in the number of notified cases is related to evolution of the VIVA implantation process in Manaus, where initially only specialized and referral services integrated the system; while with effect from official publication of Ministerial Ordinance No. 104/2011,5 violence became a compulsorily notifiable condition at all levels of healthcare. In addition to greater coverage, according to the Manaus Public Health Department Sector for Preventing Risks to Health from External Causes, increased notification in 2013 coincides with the year in which the greatest number of training courses on violence surveillance institutionalization were held in Manaus. Notwithstanding, notification rates were found to have decreased with effect from 2015. It is possible that this reduction may be due to changes in instructions for filling in the notification form with effect from that year, when the recommendation was given to only record the main type of violence, so that other less relevant types at the time of notification were not included.

Sexual violence was the most frequently notified type among children and adolescents in Manaus during the study period. This result diverges from the majority of studies conducted in Brazil’s different regions,11-22 which are conclusive as to negligence and physical violence being the most notified types of violence in childhood. Notwithstanding, a study conducted in Belém, capital of the state of o Pará, also found that sexual violence was the most frequently notified type (41.8%) among violence practiced against young people.23 Given the context of VIVA implantation in Manaus, it is possible to postulate that greater occurrence of notification of sexual violence cases, in relation to other types of violence, may be due to the fact of the municipality having a Sexual Violence Victim Care Service (SAVVIS), which promotes compulsory notification of all cases. Other aspects which may have contributed to this situation lie in two facts: (i) Brazil’s Northern region having the largest number of child and adolescent sexual exploitation trafficking routes;24 and (ii) the Child and Adolescent Protection Councils not adopting the intersectoral notification form, thus resulting in underreporting of other types of violence. It would be interesting for future studies to address the theme with the aim of investigating whether prioritizing cases of sexual violence is peculiar to Manaus or whether they are a regional characteristic.

The notifications analyzed showed that reported violence was higher among the one to five-year-old age group in children, and among the ten to fourteen age group in adolescents. Other studies also indicate that early childhood is the age group most at risk of violence, owing to the child being most dependent on its carer, reduced power of argumentation as a form of discipline and difficulty in countering violent attitudes.17,25,26 If during the first year of life, negligence is the most common form of violence, with effect from being one year old other forms of violence begin to stand out, especially physical, sexual and psychological violence.11

The greater part of reported violence against children and adolescents in Manaus was perpetrated against girls, for whom sexual violence tends to be more frequent.11 However, this pattern is different to that presented in the majority of studies, in which males are the main victims, given that physical violence is the most commonly reported form.11-13 With regard to race/skin color, in Manaus, differently to the rest of Brazil,27 brown skin color was predominant regardless of whether cases involved children or adolescents. It was also found that the majority of children were not attending school and that a signification part of the adolescents had not yet completed their elementary education.

The majority of notifications of violence against children and adolescents were made by high complexity health services. This fact may reveal the severity of cases, related principally to sexual violence. On the other hand, this finding may also arise from health professionals in these services being better prepared. This scenario also suggests flaws in the process of detection and notification of situations of violence in primary healthcare centers, where comprehensive care and ability to identify situations of violence should be the key focus of attention, above all for the Family Health Strategy.28

Studies using Sinan data also found evidence that the victim’s home was the place where violence most occurred among children and adolescents.11,19,23 As indicated by other studies on this subject in Brazil, frequent use of physical force in these incidents may be related to abuse of power, authority, imposing limits and to the condition of being subordinated.11-14,16,17,20-22

With regard to the perpetrators’ characteristics and kinship with children, the results presented in this study are similar to those of other research, by revealing, for example, that the main perpetrator was a family member.11,13-15,17,18 In the case of adolescents, however, friends or acquaintances of the victim were the main perpetrators of violence. This latter finding differs from studies conducted in that states of Rio Grande do Sul19 and Pernambuco,22 which pointed to legal guardians (father, mother, stepfather or stepmother) as being the main perpetrators of violence. On the other hand, greater frequency of just one perpetrator as found in this study, has also been reported by studies based on Brazil as a whole.27

Generally speaking, both with regard to individual field completeness, and also completeness of entire notification forms, the results point to over 80% of situations being classified as having good completeness. However, among fields that are not required fields, such as race/skin color, disability/disorder, recurrence, suspected use of alcohol, place and time of incident, completeness classification oscillated over most of the years analyzed. A similar result was found by a previous study, conducted in Pernambuco, in which the authors indicated regular completeness of the fields intended to characterize violence (time of incident, place, recurrence, type of violence, type of aggression) and to characterize the probable perpetrator (sex, relationship with the victim),29 and very low completeness for the following variables: schooling, time of incident and use of alcohol by the perpetrator.30 It appears to be pertinent that the importance of this information for violence surveillance should be continually emphasized in health services throughout Brazil, since low completeness of the fields relating to them reduces not only the performance of municipal surveillance, but also hinders the development of specific actions aimed both at reducing case occurrence and also at case follow-up.

Despite the limitations found, inherent to studies using secondary data and inherent to the possibility of absence of certain information having compromised the description of notified cases, identification of the characteristics of the victims, incidents and perpetrators is extremely relevant for health service managers and/or health workers who wish to intervene in the cycle of violence. We hope that this study will give impetus to further studies dedicated to exploring other possibilities of analyzing this theme.

Contrary to the national scenario, sexual violence was the most notified type in Manaus, indicating the need for training aimed at detecting other types of violence (physical, psychological, negligence, child labor etc.) in the municipality. Improving the quality of the data analyzed requires notification monitoring, as well as continuing preparation of the health professionals involved. Progress in this area depends on correct identification of suspected cases and painstaking completion of the notification form, resulting from awareness raising actions aimed at health professionals in order to increase coverage and quality of form filling-in, since notification of violence against children and adolescents is a first step for actions to control this condition.

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*Manuscript developed based on the academic thesis written by Nathália França de Oliveira, entitled ‘The process of notification of violence against children and adolescents by Family Health Strategy professionals in Manaus, AM’, defended at the State University of Rio de Janeiro Social Medicine Institute Public Health Postgraduate Program in 2019. This study was funded by the Amazonas State Research Support Foundation (PPSUS - MS/CNPq/FAPEAM/SUSAM): Protocol No. 34931.UNI653.54603.03082017.

Received: February 13, 2019; Accepted: November 19, 2019

Correspondence: Nathália França de Oliveira - Av. Carvalho Leal, No. 1777, Cachoeirinha, Manaus, AM, Brazil. Postcode: 69065-130. E-mail: nfoliveira@uea.edu.br

Authors’ contributions

Oliveira NF, Moraes CL and Junger WL contributed to the conception and design of the article, data analysis and interpretation and drafting the manuscript. Reichenheim ME contributed to data interpretation and writing the manuscript. All the authors have approved the final version and are responsible for all aspects of this work, including the guarantee of its accuracy and integrity.

Associate Editor: Bruno Pereira Nunes - orcid.org/0000-0002-4496-4122

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