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Epidemiologia e Serviços de Saúde

versão impressa ISSN 1679-4974versão On-line ISSN 2237-9622

Epidemiol. Serv. Saúde vol.31 no.3 Brasília  2022  Epub 12-Out-2022

http://dx.doi.org/10.1590/s2237-96222022000300008 

Original article

Incidence of immunization errors in the state of Minas Gerais, Brazil: a cross-sectional study, 2015-2019

Deborah Amaral Donnini (orcid: 0000-0003-1238-7524), study conception and design; , data analysis and interpretation; , drafting of the manuscript; , critical reviewing and approval of the final version1  ; Carlos Miguel Bolognani Silva (orcid: 0000-0002-5642-895X), data analysis and interpretation; , discussion on the results; , drafting of the manuscript; , critical reviewing and approval of the final version1  ; Josianne Dias Gusmão (orcid: 0000-0001-5109-2687), data analysis and interpretation; , discussion on the results; , drafting of the manuscript; , critical reviewing and approval of the final version2  ; Fernanda Penido Matozinhos (orcid: 0000-0003-1368-4248), data analysis and interpretation; , discussion on the results; , drafting of the manuscript; , critical reviewing and approval of the final version3  ; Roberta Barros Silva (orcid: 0000-0002-2947-7043), data analysis and interpretation; , discussion on the results; , drafting of the manuscript; , critical reviewing and approval of the final version2  ; Gabriela Gonçalves Amaral (orcid: 0000-0002-9629-2815), data analysis and interpretation; , discussion on the results; , drafting of the manuscript; , critical reviewing and approval of the final version4  ; Eliete Albano de Azevedo Guimarães (orcid: 0000-0001-9236-8643), study conception and design; , data analysis and interpretation; , drafting of the manuscript; , critical reviewing and approval of the final version1  ; Valéria Conceição de Oliveira (orcid: 0000-0003-2606-9754), study conception and design; , data analysis and interpretation; , drafting of the manuscript; , critical reviewing and approval of the final version1 

1Universidade Federal de São João del-Rei, Programa de Pós-Graduação em Enfermagem, Divinópolis, MG, Brazil

2Secretaria de Estado da Saúde de Minas Gerais, Superintendência de Vigilância Epidemiológica, Belo Horizonte, MG, Brazil

3Universidade Federal de Minas Gerais, Programa de Pós-Graduação em Enfermagem, Belo Horizonte, MG, Brazil

4Universidade de São Paulo, Programa de Pós-Graduação em Enfermagem em Saúde Pública, Ribierão Preto, SP, Brazil

Abstract

Objective:

To evaluate the incidence of immunization errors in the public health service of the state of Minas Gerais, Brazil.

Methods:

This was a cross-sectional study, based on errors reported on the National Immunization Program Information System between 2015 and 2019. A descriptive analysis and calculation of the incidence for the state's health macro-regions were performed.

Results:

A total of 3,829 notifications were analyzed. Children younger than 1 year old were the most affected (39.1%) and the intramuscular route accounted for 29.4% of the errors. The most frequently reported error was administration of vaccines outside minimum and maximum recommended ages (37.7%). There was a higher incidence of errors in Vale do Aço (26.5/100,000) and Triângulo do Norte (22.6/100,000) macro-regions.

Conclusion:

Immunization errors showed a heterogeneous incidence among the macro-regions of the state of Minas Gerais, between 2015-2019, and the administration of vaccines outside minimum and maximum recommended ages was the most frequently reported error.

Keywords: Vaccination; Drug-Related Side Effects and Adverse Reactions; Medication Errors; Patient Safety; Primary Health Care; Descriptive Epidemiology

Study contributions

Main results

There was an increase in the incidence of immunization errors in all health macro-regions of Minas Gerais state. The most frequently reported type of error was vaccine doses administered outside the recommended age; results point to underreporting of these errors.

Implications for services

The increased incidence of immunization error may compromise vaccination coverage, in addition to an increased risk of adverse events following vaccination. Investing in permanent education of workers and risk management are strategies to reduce these errors.

Perspectives

To advance in knowledge of professionals about the practice in the vaccination room and analyze the factors that influence the notification and underreporting of immunization errors in different health macro-regions of Minas Gerais state.

Introduction

Vaccination is a health strategy with great effectiveness. Due to its action in disease prevention, it avoids millions of deaths per year and increases life expectancy.1 As with all medicines administration, vaccination errors are known to occur.2 Immunization errors are preventable as they are consequences of attitudes or procedures that have not been followed accordingly.3

According to the rules of the National Immunization Program (Programa Nacional de Imunizações - PNI), immunization errors may cause reduction or lack of the expected effect of vaccines, in addition to adverse events following immunization (AEFI).3 These errors may also have a negative impact on the population, interfering in the follow-up of the vaccination schedule, reducing vaccination coverage rates and jeopardizing the control of vaccine-preventable diseases,4-6 in addition to generating direct and indirect costs to health services.7-8

In the last ten years, the international5,9-10 and national literature4,6 have pointed to an increase in notifications of immunization errors. A study conducted between 2001 and 2016, aiming to describe the characteristics of vaccination errors using a European database, identified an increase in the number of notifications of vaccine errors, from 0.4%, in 2001, to 4% in 2016.10 In the United States, between 2000 and 2013, the Vaccine Adverse Event Reporting System also observed an increase in immunization error notifications from 1%, in 2000, to 15% in 2013.5

With regard to Brazil, a study conducted in the state of Paraná on records of AEFI due to immunization errors, focused on the period from 2003 to 2013, identified an increase of 0.184 in the incidence rate per 100,000 doses administered. The mean value estimated by the same study for the period 2014-2018 ranged from 2.5 (2014) to 3.3 (2018) AEFI due to immunization errors per 100,000 doses administered.4 In the state of Goiás, the overall incidence rate of errors was 4.1/100,000 doses administered, and the highest incidence rates were related to the human rabies vaccine, the human papillomavirus vaccine and the triple viral vaccine; the incidence rate of errors regarding AEFI was 0.45/100,000 doses administered.6 In the state of Minas Gerais, a study conducted between 2015 and 2019, aimed at analyzing immunization errors in pregnant women, according to the absence and presence of AEFI, found an incidence of 2.07/100,000 doses administered, showing errors and some adverse events.11

In Brazil, records of immunization errors in individuals vaccinated within the public health network are made available in the Adverse Event Following Immunization Surviellance Information System (Sistema de Informação de Vigilância de Eventos Adversos Pós-Vacinação - SI-EAPV).3 In order to support the completion of information, the SI-EAPV has its own notification/investigation form, in which the information is inserted to characterize the error and provide instructions on the conduct to be adopted in case of AEFI and in the face of the vaccination schedule.

Given the increase in scientific literature on immunization errors4,6,10 and the importance of knowledge about thier occurrence for assertive decision-making in health services and practices, we believe that this study can provide a comprehensive understanding of the occurrence of immunization errors in the coming years, in the state of Minas Gerais, the second most populous state with the largest number of municipalities in Brazil.12,13

The aim of this study was to evaluate the incidence of immunization errors in the public health service in the state of Minas Gerais, Brazil, between 2015 and 2019.

Methods

This was a descriptive cross-sectional study based on the notifications of immunization errors recorded in the AEFI database of the PNI Information System (SI-PNI), in Minas Gerais, from January 1, 2015 to December 31, 2019. We accessed this database, made available by the State Department of Health of Minas Gerais, from March to November 2020.

Minas Gerais had an estimated population of 21,411,923 inhabitants in 2021, and a human development index (HDI) of 0.731 in 2010.12 Based on demographic, socioeconomic, geographical, sanitary and epidemiological characteristics, the state territory is divided into 14 macro-regions for health care planning; these macro-regions are subdivided into 89 microregions, covering a total of 853 municipalities. Central is the most densely populated macro-region, where the capital of Minas Gerais is located, which is the most populated city, with 31.7% of the total population of the state; and Jequitinhonha is the least populated macro-region.13

The study population was comprised of all individuals who recieved any type of immunobiological agent within the public health system, experienced any type of immunization error and had this error registered on the SI-EAPV.

The outcome variable of the study was the occurrence of immunization errors classified according to the form for notification/investigation of AEFI associated with the use of vaccines, serum or immunoglobulin (handling/conservation errors; dilution errors; administration of vaccines outside minimum and maximum recommended ages; inadequate interval between doses/vaccine; administration errors; type of immunobiological product used; expired immunobiological product; other).3 Defined doses for routine vaccines, recommended ages, minimum intervals between doses and minimum and maximum ages for vaccine administration, according to the Brazilian PNI, are shown in Box 1.

Box 1 Definition of doses by vaccines, recommended ages, minimum intervals between doses and minimum and maximum ages for administration, Brazil, 2022 

Vaccine Recommended age Recommended minimum interval between doses Maximum age
BCGa At birth Single dose 4 years 11 months 29 days
HBb first dose At birth 30 days 1 month
OHVRc 2 and 4 months 30 days 1st dose: until 3 months 15 days
2nd dose: until 7 months 29 days
Pentavalentd (DTP + HBb + Hib) 2, 4 and 6 months 30 days between the 1st, 2nd and 3rd dose of pentavalent. The 3rd dose should not be administered before 6 months old 6 years 11 months 29 days
Polio (IPVe) 2, 4 and 6 months 30 days between the 1st, 2nd and 3rd dose of IPVe. 6 months between the 3rd dose of IPVe and the 1st booster dose of OPVf 4 years 11 months 29 days
Polio (OPVf) 15 months and 4 years 6 months between the 3rd dose of IPVe and the 1st booster dose of OPVf. 6 months between the 1st and 2nd booster dose of OPVf 4 years 11 months 29 days
Pn10g 2, 4 and 12 months 30 days between 1st and 2nd dose. 60 days between the 2nd dose and the booster dose at 12 months 4 years 11 months 29 days
MenCh 3, 5 and 12 months 30 days between 1st and 2nd dose. 60 days between the 2nd dose and the booster dose at 12 months 4 years 11 months 29 days
YFi 9 months and 4 years* 30 days between doses of YFi -
MMRj 12 months and 15 months*** 30 days of interval of YFi* vaccine -
HAk 15 months - 4 years 11 months 29 days
DTPl 15 months and 4 years 6 months between the 3rd dose of pentavalent and the 1st booster dose of DTPl. 6 months between the 1st and 2nd booster dose of DTPl 6 years 11 months 29 days
VZVm 15 months and 4 years 30 days of interval of MMRj and YF*** vaccines 6 months 11 months 29 days
HPVn Boys: from 11 to 14 years and girls: from 9 to 14 years 2 doses with minimum interval of 6 months Under 15 years old
ACWYo 11 and 12 years Single dose -
DTp From 7 years old 3 doses with recommended interval of 60 days and minimum of 30 days -
dTpaq Pregnant women 1 dose at each pregnancy (from the 20 weeks pregnant) -

a) BCG: Bacillus Calmette-Guérin vaccine; b) HB: hepatitis B vaccine; c) OHVR: oral human rotavirus vaccine; d) Pentavalent (DTP+HB+Hib): diphtheria, tetanus, pertussis, hepatitis B adsorbed vaccine (recombinant) and Haemophilus Influenzae B (conjugate); e) Poliomyelitis (IPV): injectable, trivalent inactivated poliovirus vaccine; f) Poliomyelitis (OPV): bivalent attenuated oral poliovirus vaccine (OPV); g) Pn10: pneumococcal conjugate vaccine 10-valent; h) MenC: meningococcal C conjugate vaccine; i) YF: yellow fever vaccine; j) MMR: measles, mumps and rubella virus vaccine; k) HA: hepatitis A vaccine; l) DTP: triple bacterial vaccine (diphtheria, tetanus and pertussis combination vaccine); m) VZY: attenuated varicella vaccine; n) HPV: human papillomavirus vaccine 6, 11, 16 and 18 (recombinant); o) ACWY: ACWY meningococcal vaccine (conjugate); p) DT: adult diphtheria and tetanus adsorbed vaccine; q) dTpa: adult diphtheria, tetanus and pertussis adsorbed vaccine (acellular). Notes: * People from 5 to 59 years of age: one single dose should be administered; ** People from 5 to 29 years of age who are not vaccinated or with an incomplete vaccination schedule should recieve or complete the two-dose schedule of triple viral, with a minimum interval of 30 days between doses. People from 30 to 59 years of age who are not vaccinated should recieve a triple viral dose; ***When they are not administered simultaneously and with a 30-day interval between yellow fever and triple viral vaccines for children under 2 years of age.

The exposure variables were those existing in the immunization error notification form: age group (years: up to 1; 1 to 4; 5 to 9; 10 to 19; 20 to 59; 60 or over); route of administration (intramuscular; subcutaneous; oral; intradermal; not specified); type of event (immunization error without AEFI; immunization error with AEFI); year of immunization error notification (2015; 2016; 2017; 2018; 2019); health macro-region (Sul; Centro Sul; Centro; Jequitinhonha; Oeste; Leste; Sudeste; Norte; Noroeste; Leste do Sul; Nordeste; Triângulo do Sul; Triângulo do Norte; Vale do Aço).

Before analyzing the data, duplicate records were excluded. A descriptive analysis of the data was performed, including the frequency distribution and differences between proportions, according to demographic characteristics (age group), type of error and route of administration. In order to calculate the incidence rate of immunization errors, per 100,000 doses administered, the total number of errors reported on SI-EAPV (numerator) and the number of doses administered in the period (denominator), by health macro-region, were considered. In the state of Minas Gerais, from 2015 to 2019, 57,289,277 records of vaccine doses administered and 3,866 notifications of immunization errors were found.14

A database was built using Microsoft Excel 2010. The Statistical Software Package (Stata), version 14.0, was used for data analysis.

This research is part of a larger project entitled "Evaluation of immunization errors and intervention proposal", approved by the Human Research Ethics Committee of the Campus Centro-Oeste Dona Lindu/Universidade Federal de São João del-Rei (CEPCO/UFSJ), on January 31, 2020: Opinion No. 3.817.007; Certificate of Submission for Ethical Appraisal (CAAE) No. 23888819.9.0000.5545.

Results

In the state of Minas Gerais, between 2015 and 2019, 3,866 notifications of immunization errors were identified on the SI-EAPV database. 37 duplicate records were excluded, and a total of 3,829 notifications remained. Of the 853 municipalities in Minas Gerais, 332 (38.9%) reported at least one type of error.

Regarding the characteristics of the 3,829 notifications analyzed, it could be seen that females accounted for (58.1%) of the reported cases. Among the most affected age groups, children under 4 years of age (58.3%) stood out, showing a higher proportion for those under 1 year old (39.1%), followed by those between 20 and 59 years old (20.0%). Intramuscular and subcutaneous routes accounted for 29.4% and 27.8% of the reported errors, respectively. It could be seen that the most frequently reported immunization error was the administration of vaccine outside minimum and maximum recommended ages (37.5%). The prevalence of vaccines that are not recommended during pregnancy was 10.8%. Among the notifications analyzed, it is worth highlighting that in 1,175 (30.7%), the route of administration related to immunization error was not specified (Table 1).

Table 1 Characteristics of notifications of immunization errors (n = 3,829), Minas Gerais state, Brazil, 2015-2019 

Variable n %
Age group (in years)
< 1 1,497 39.1
1-4 735 19.2
5-9 213 5.6
10-19 435 11.4
20-59 767 20.0
≥ 60 183 4.7
Route of administration
Intramuscular 1,127 29.4
Subcutaneous 1,065 27.8
Oral 304 7.9
Intradermal 158 4.2
Not specified 1,175 30.7
Immunization errors
Handling errors 4 0.1
Dilution errors 79 2.1
Vaccine administered outside the recommended age 1,435 37.5
Inadequate interval between doses/vaccines 270 7.1
Administration errors 131 3.4
Type of immunobiological product used 313 8.2
Expired immunobiological product 246 6.4
Repeated dosesa 231 6.0
Vaccine not recommended during pregnancya 414 10.8
Other 706 18.4

a) They are not included in the classification, according to the form for notification/investigation of adverse events following vaccination associated with the use of vaccine, serum or immunoglobulin.

Regarding the incidence rate by type of immunization error, it could be seen that vaccines administered outside minimum and maximum recommended ages accounted for the most incident error (2.6/100,000 doses administered), followed by administration of vaccines that are not recommended during pregnancy (0.7/100,000 doses administered). The type of immunobiological product used and the inadequate interval between doses/vaccine showed an incidence of 0.6 and 0.5 per 100,000 doses administered, respectively. Expired and repeated vaccine doses showed an incidence rate of 0.4/100,000 doses administered each. When we added administration, dilution and handling errors, the incidence rate found was 0.4 per 100,000 doses administered (data are not shown in the tables).

Table 2 shows the incidence of immunization errors by health macro-region of Minas Gerais. The highest incidence of errors was found in Vale do Aço macro-region, at an incidence rate of 26.5 errors for every 100,000 doses administered, followed by the Triângulo do Norte, with an incidence rate of 22.6 errors for every 100,000 doses administered. On the other hand, the health macro-regions with the lowest incidence of errors reported were: the Noroeste, with 1.6 error per 100,000 doses administered, and the Nordeste, with 1.8 error per 100,000 doses administered. It could be seen that 2019 was the year with the highest incidence of notifications in most health macro-regions of the state, except for the Oeste and Jequitinhonha macro-regions, which showed a higher number of notifications in 2018, and Triângulo do Norte in 2017.

Table 2 Incidence of immunization errors (n = 3,829) by health macro-region and year of notification, Minas Gerais state, Brazil, 2015-2019 

Health macro-region of Minas Gerais state 2015 2016 2017 2018 2019 Total
Sul DAa 1,358,770 1,172,935 1,827,014 1,676,080 1,364,739 7,399,538
ieb 36 61 97 138 133 465
IRc 2.6 5.2 5.3 8.2 9.7 6.2
Centro Sul DAa 373,400 320,636 568,321 609,088 367,798 2,239,243
ieb 3 3 15 29 116 166
IRc 0.8 0.9 2.6 4.7 31.5 7.4
Centro DAa 3,313,133 2,823,093 4,460,980 3,867,078 3,181,872 17,646,156
ieb 84 115 204 173 230 806
IRc 2.5 4.0 4.5 4.4 7.2 4.5
Jequitinhonha DAa 227,336 160,669 284,157 197,085 172,382 1,041,629
ieb 5 12 18 15 7 57
IRc 2.1 7.4 6.3 7.6 4.0 5.5
Oeste DAa 570,380 525,381 822,539 717,814 619,164 3,255,278
ieb 16 33 55 97 68 269
IRc 2.8 6.2 6.6 13.5 10.9 8.3
Leste DAa 365,302 303,120 576,272 341,185 346,025 1,931,904
ieb 3 2 10 10 16 41
IRc 0.8 0.6 1.7 2.9 4.6 2.1
Sudeste DAa 796,230 702,297 1,273,795 990,293 621,976 4,384,591
ieb 14 21 26 43 80 184
IRc 1.7 2.9 2.0 4.3 12.8 4.2
Norte DAa 934,762 714,015 1,173,550 828,613 732,807 4,383,747
ieb 44 26 35 33 88 226
IRc 4.7 3.6 2.9 3.9 12.0 5.2
Noroeste DAa 362,110 275,505 420,099 393,825 323,306 1,774,845
ieb 4 3 7 5 9 28
IRc 1.1 1.0 1.6 1.2 2.7 1.6
Leste do Sul DAa 302,559 260,432 614,566 415,056 365,493 1,958,106
ieb 13 11 15 34 30 103
IRc 4.2 4.2 2.4 8.1 8.2 5.3
Nordeste DAa 394,653 352,008 770,705 434,198 390,461 2,342,025
ieb 4 5 9 7 18 43
IRc 1.0 1.4 1.1 1.6 4.6 1.8
Triângulo do Sul DAa 369,329 347,976 531,873 438,174 393,480 2,080,832
ieb 37 20 73 72 73 275
IRc 10.0 5.7 13.7 16.4 18.5 13.2
Triângulo do Norte DAa 734,883 633,674 832,001 1,001,145 725,908 3,927,611
ieb 13 91 185 167 432 888
IRc 1.8 22.2 59.5 1.8 22.2 22.6
Vale do Aço DAa 259,760 231,004 209,691 200,028 145,226 1,045,709
ieb 20 13 97 30 117 277
IRc 7.6 5.6 46.2 14.9 80.5 26.5

DA: Number of records of doses administered; b) ie: Number of records of immunization errors; c) IR: Incidence rate of immunization errors per 100,000 doses administered.

The incidence rate of immunization errors with AEFI (323 cases) was 0.56/100,000 doses administered (data are not shown in the tables). The most frequently reported AEFIs due to immunization errors were localized reactions (80.8%), and, in some notifications, more than one local reaction was observed. Among these reactions, pain (40.2%), heat at the vaccination site (39.1%), erythema (36.0%) and hot abscess (25.7%) were recorded. With regard to systemic manifestations observed, the most frequently reported were diarrhea (19.0%), vomiting (19.0%), nausea (15.9%) and generalized rash (14.3%) (data are not shown in the tables).

Discussion

The incidence rate of immunization errors had a heterogeneous distribution among the health macro-regions of the state of Minas Gerais, although the data point to an underreporting of errors. The most frequently reported type of error observed was the administration of vaccines outside minimum and maximum recommended ages, and errors without the occurrence of AEFI showed the highest incidence.

The highest proportion of reported errors was observed among children under 1 year of age. Other national studies conducted in the states of Paraná and Goiás between 2017 and 2020, and international studies carried out in Europe and the United States between 2018 and 2019, aimed to describe the characteristics of immunization errors, also found a higher incidence of errors in children under 1 year of age.4-6,8,10

With regard to the proportion of types of errors reported, regardless of age, almost 40% were related to the administration of vaccines outside minimum and maximum recommended ages. When comparing the results of this study with those of other studies conducted in the municipalities of Goiânia, state of Goiás, Riberão Preto, state of São Paulo, and Porto Alegre, state of Rio Grande do Sul, between 2013 and 2018, the findings regarding vaccine administered outside minimum and maximum recommended ages are similar.6,15,16 This type of error also occurs worldwide, as pointed out in a systematic review of the medical literature, conducted in 2019, including studies carried out in Canada, the United Kingdom, the United States, Taiwan, and Brazil.9

It is assumed that lack of staff knowledge and update on vaccination schedules and similarity between vaccine vials may be associated with administration of vaccines outside minimum and maximum recommended ages. An investigation conducted in the United States in 2018 also identified that vaccine schedule complexity and confusion among similar products may have contributed to administration of vaccines outside minimum and maximum recommended ages.7 It is important that laboratories make the necessary investment for the renewal of packaging and labelling of thier products, a key measure for greater safety at the time of vaccination for healthcare professionals.17

Approximately one third of the notifications of immunization errors showed unknown route of administration. National studies conducted between 2014 and 2020 in the states of Goiás,6 São Paulo18 and Minas Gerais,19 also found incompleteness of notification form fields, such as absence of administration route, race/skin color of vaccinated individuals and specification of the vaccine administered.6,18-20

The results also showed that the highest incidence of errors was related to errors without the occurrence of AEFI, corroborating those of other studies conducted in the country between 2016 and 2018.4,6 A systematic review of national and international studies on the prevalence of immunization errors documented between 2009 and 2018 showed that, in the majority of these studies, no adverse events following immunization errors were recorded.9 In the present study, the most frequently reported AEFIs were localized reactions. This fact occurs due to the act of introducing the needle causing muscle injury and irritation at the site, as well as the substances used in vaccines, such as aluminum hydroxide adjuvant, with the potential to cause an inflammatory response at the injection site.4-6

Despite the number of notifications observed in the study period, it is noteworthy to question the fact that less than half of the municipalities in Minas Gerais have reported immunization errors. This information suggests a hypothesis of the existence of barriers to report these incidents, possibly compatible with the difficulty of reporting due to a punitive response to errors and the lack of knowledge about the importance of reporting immunization errors, even when there is no occurrence of AEFI.21,22 As the filling in of information about the error is made in the same notification form for AEFI, this may contribute to an underreporting of those errors without the occurrence of adverse events, explaining - even partially - the discrepancy of the results on the incidence of immunization errors in the health macro-regions of Minas Gerais.

Other investigations, two conducted in Brazil and the United States in 2016 and one in India in 2017, also pointed to underreporting of immunization errors, which may compromise the adoption of preventive measures.4,23,24 This underreporting may be an indicator that there is no occurrence of errors, which contributes to its maintenance and perpetuation.15 Notifications should be percieved as fundamental to the safety culture, as it aims to minimize damage, in addition to fostering learning.25 Error reporting culture may be the first attitude towards promoting patient safety, allowing the team to feel safe and thus report the incidents,26 in addition to contributing to the identification of possible causes, improving the quality of care in vaccination rooms.18 A higher incidence of errors in some health macro-regions of Minas Gerais state is not necessarily associated with a higher occurrence, but probably to a higher notification, possibly related to an organizational culture focused on patient safety at the municipal level. Usually, errors are more exposed in institutions with a mature and strengthened safety culture.27

In general, immunization errors occur throughout the vaccination process, both due to failures in storage and distribution of immunobiological products, and to incorrect indication and administration to the individual.5,9,10,28 Lack of professionals and, consequently, work overload are factors for the occurrence of errors, which have a close relationship with work process and healthcare management.25

The literature has shown that the introduction of new vaccines is a contributing factor to the increase in immunization errors.6,7,28 This fact was evidenced during the COVID-19 pandemic, which revealed a considerable number of immunization errors, such as inadequate interval between doses, vaccine doses administered to individuals outside the recommended age group, incorrect storage and handling, among others.29

Supervision is an important recommendation for quality and safety in vaccination rooms. It encompasses the monitoring of the “doings” of workers and enables identifying the need for guidance and improvement, in order to prevent immunization errors.21 Thus, the increase in the incidence of these errors calls for greater supervision of vaccination rooms, training for health workers, risk management and direct assistance to users of the Brazilian National Health System (SUS).6

Another strategy to prevent immunization error lies in the involvement of the population in the process, serving as a barrier to errors. Double checking vaccines (user and professional), before their preparation and administration, should be encouraged.5 Using a checklist that enables verification at each stage of the vaccination process: before, during and after the administration, provides a safe preparation/ administration.30

Management also plays a fundamental role in preventing immunization error, providing sufficient products, inputs and human resources, given that the responsibility of developing error prevention strategies is not exclusive to health professionals. Improvement of working conditions, such as a sufficient number of workers and an adequate structure, ensure quality care for every patient and professional safety.25 Human nature cannot be changed, however, it is possible to improve working conditions.21

It is worth highlighting some limitations of this study. The use of secondary data does not allow controlling underreporting of immunization errors and the quality of information provided by SI-EAPV, which may underestimate the incidence of immunization errors in Minas Gerais. Another limitation lies in the fact that the PNI categorize as "Other" those errors that do not fit into the classification of the most common errors, which may lead to an information bias, as the frequency of this category increases. In order to minimize this bias, the most frequently reported errors, categorized as "Other", have been presented in this study.

Administration of vaccines outside the minimum and maximum recommended ages was the most frequently reported error. Immunization errors showed a heterogeneous incidence among the health macro-regions of the state of Minas Gerais, between 2015 and 2019.

The study points to a worrying scenario of immunization errors, capable of impacting on the quality of care provided in vaccination rooms, with the potential to affect the PNI, especially in a period of low vaccination coverage and growth of vaccine hesitancy. Therefore, it is necessary to encourage discussions on the need to adopt preventive measures for immunization errors.

It can be concluded that the results showed in this study can help health services in the investigation of the causes of immunization errors, supporting the adoption of preventive measures, such as the implementation of safety centers and development of patient safety plans, indispensable for safe vaccination.

REFERENCES

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2. Lang S, Ford KJ, John T, Pollard AJ, Mccarthy ND. Immunisation errors reported to a vaccine advice service: intelligence to improve practice. Qual Prim Care [Internet]; 2014 [cited 2022 Apr 19];22(3):139-46. Available from: https://bityli.com/fsAJWzPSLinks ]

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Associate academic work Article derived from the Master's dissertation entitled Analysis of immunization errors in the state of Minas Gerais, submitted by Deborah Amaral Donnini to the Postgraduate Program in Nursing of the Universidade Federal de São João del-Rie, Campus Centro-Oeste Dona Lindu, in 2021.

FundingThis study recieved financial support from the Coordenação de Aperfieçoamento de Pessoal de Nível Superior/Ministry of Education (CAPES/MEC), Process Code 001, and the Conselho Nacional de Desenvolvimento Científico e Tecnológico/Ministry of Science, Technology and Innovation (CNPq/MCTI), Process: 420760/2018-0.

Received: February 06, 2022; Accepted: August 10, 2022

Correspondence Valéria Concieção de Oliviera valeriaoliveira@ufsj.edu.br

Associate editor

Thaynã Ramos Flores

Author contributions

Donnini DA, Guimarães EAA and Oliviera VC collaborated with study conception and design, data analysis and interpretation, drafting of the manuscript, critical reviewing and approval of the final version. Silva CMB, Gusmão JD, Matozinhos FP, Silva RB and Amaral GG collaborated with data analysis and interpretation, discussion on the results, drafting of the manuscript, critical reviewing and approval of the final version. All authors have approved the final version and declared themselves to be responsible for all aspects of the work, including ensuring its accuracy and integrity.

Conflicts of Interest

The authors declared that they have no conflicts of interest.

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