Journal of Preventive Medicine and Public Health

Original Articles

Adverse Events Following Immunizations in Infants Under 1 Year of Age in Lorestan Province, Western Iran: Anbari khatereh, Ghanadi Koruosh, Toulabipour Alireza, Jamebozuorghi Daryuosh, Baharvand Parastoo; J Prev Med Public Health. 2023;56(2):172-179. Published online March 14, 2023; DOI: https://doi.org/10.3961/jpmph.22.540

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Abstract PDF: Objectives
Vaccination is an important intervention for preventing disease and reducing disease severity. Universal vaccination programs have significantly reduced the incidence of many dangerous diseases among children worldwide. This study investigated the side effects after immunization in infants under 1 year of age in Lorestan Province, western Iran.
Methods
This descriptive analytical study included data from all children <1 year old in Lorestan Province, Iran who were vaccinated according to the national schedule in 2020 and had an adverse event following immunization (AEFI). Data were extracted from 1084 forms on age, sex, birth weight, type of birth, AEFI type, vaccine type, and time of vaccination. Descriptive statistics (frequency, percentage) were calculated, and the chi-square test and Fisher exact test were used to assess differences in AEFIs according to the abovelisted variables.
Results
The most frequent AEFIs were high fever (n=386, 35.6%), mild local reaction (n=341, 31.5%), and swelling and pain (n=121, 11.2%). The least common AEFIs were encephalitis (n=1, 0.1%), convulsion (n=2, 0.2%), and nodules (n=3, 0.3%). Girls and boys only showed significant differences in mild local reactions (p=0.044) and skin allergies (p=0.002). The incidence of lymphadenitis (p<0.001), severe local reaction (p<0.001), mild local reaction (p=0.007), fainting (p=0.032), swelling and pain (p=0.006), high fever (p=0.005), and nodules (p<0.001) showed significant differences based on age at vaccination.
Conclusions
Immunization is a fundamental public health policy for controlling vaccine-preventable infectious diseases. Although vaccines such as the Bacillus Calmette-Guérin vaccine, oral poliovirus vaccine, and pentavalent vaccine are well-researched and reliable, AEFIs are inevitable.; Summary

Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study: Minsu Ock, Hwa Jung Kim, Bomin Jeon, Ye-Jee Kim, Hyun Mi Ryu, Moo-Song Lee; J Prev Med Public Health. 2018;51(1):15-22. Published online January 4, 2018; DOI: https://doi.org/10.3961/jpmph.17.118

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8 Crossref

Objectives
The use of administrative data is an affordable alternative to conducting a difficult large-scale medical-record review to estimate the scale of adverse events. We identified adverse events from 2002 to 2013 on the national level in Korea, using International Classification of Diseases, tenth revision (ICD-10) Y codes.
Methods
We used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). We relied on medical treatment databases to extract information on ICD-10 Y codes from each participant in the NHIS-NSC. We classified adverse events in the ICD-10 Y codes into 6 types: those related to drugs, transfusions, and fluids; those related to vaccines and immunoglobulin; those related to surgery and procedures; those related to infections; those related to devices; and others.
Results
Over 12 years, a total of 20 817 adverse events were identified using ICD-10 Y codes, and the estimated total adverse event rate was 0.20%. Between 2002 and 2013, the total number of such events increased by 131.3%, from 1366 in 2002 to 3159 in 2013. The total rate increased by 103.9%, from 0.17% in 2002 to 0.35% in 2013. Events related to drugs, transfusions, and fluids were the most common (19 446, 93.4%), followed by those related to surgery and procedures (1209, 5.8%) and those related to vaccines and immunoglobulin (72, 0.3%).
Conclusions
Based on a comparison with the results of other studies, the total adverse event rate in this study was significantly underestimated. Improving coding practices for ICD-10 Y codes is necessary to precisely monitor the scale of adverse events in Korea.

Summary

Citations

Citations to this article as recorded by

Development of the Korean Patient Safety Incidents Code Classification System
Eun Young Choi, Jeehee Pyo, Young-Kwon Park, Minsu Ock, Sukyeong Kim
Journal of Patient Safety.2023; 19(1): 8. CrossRef
Use of a hospital administrative database to identify and characterize community-acquired, hospital-acquired and drug-induced acute kidney injury
Amayelle Rey, Valérie Gras-Champel, Thibaut Balcaen, Gabriel Choukroun, Kamel Masmoudi, Sophie Liabeuf
Journal of Nephrology.2022; 35(3): 955. CrossRef
Evaluation of Factors Associated with Adverse Drug Events in South Korea Using a Population-Based Database
Eunkyeong Choi, Siin Kim, Hae Sun Suh
Journal of Clinical Medicine.2022; 11(21): 6248. CrossRef
Feasibility of Capturing Adverse Events From Insurance Claims Data Using International Classification of Diseases, Tenth Revision, Codes Coupled to Present on Admission Indicators
Juyoung Kim, Eun Young Choi, Won Lee, Hae Mi Oh, Jeehee Pyo, Minsu Ock, So Yoon Kim, Sang-il Lee
Journal of Patient Safety.2022; 18(5): 404. CrossRef
The Korea National Patient Safety Incidents Inquiry Survey: Characteristics of Adverse Events Identified Through Medical Records Review in Regional Public Hospitals
Min Ji Kim, Hee Jung Seo, Hong Mo Koo, Minsu Ock, Jee-In Hwang, Sang-Il Lee
Journal of Patient Safety.2022; 18(5): 382. CrossRef
Use of ICD‐10‐CM T codes in hospital claims data to identify adverse drug events in Taiwan
Ya‐Fang Cheng, Chi‐Yuan Cheng, Szu‐Hsuan Wang, Yu‐Ting Lin, Tzu‐Cheng Tsai
Journal of Clinical Pharmacy and Therapeutics.2021; 46(2): 476. CrossRef
Perceptions of Hospital Health Information Managers Regarding Present on Admission Indicators in Korea: A Qualitative Study
Jee-Hee Pyo, Eun-Young Choi, Hae-Mi Oh, Won Lee, Ju-Young Kim, Min-Su Ock, So-Yoon Kim, Sang-Il Lee
Quality Improvement in Health Care.2020; 26(1): 23. CrossRef
Variation between hospitals and reviewers in detection of adverse events identified through medical record review in Korea
Sukyeong Kim, Ho Gyun Shin, A E Jeong Jo, Ari Min, Minsu Ock, Jee-In Hwang, Youngjin Jeong, Moon Sung Park, Jong Bouk Lee, Tae I K Chang, Eunhyang Song, Heungseon Kim, Sang-Il Lee
International Journal for Quality in Health Care.2020; 32(8): 495. CrossRef

Assessing Reliability of Medical Record Reviews for the Detection of Hospital Adverse Events: Minsu Ock, Sang-il Lee, Min-Woo Jo, Jin Yong Lee, Seon-Ha Kim; J Prev Med Public Health. 2015;48(5):239-248. Published online September 11, 2015; DOI: https://doi.org/10.3961/jpmph.14.049

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112 Download
12 Crossref

Abstract PDF Supplementary Material

Objectives
The purpose of this study was to assess the inter-rater reliability and intra-rater reliability of medical record review for the detection of hospital adverse events.
Methods
We conducted two stages retrospective medical records review of a random sample of 96 patients from one acute-care general hospital. The first stage was an explicit patient record review by two nurses to detect the presence of 41 screening criteria (SC). The second stage was an implicit structured review by two physicians to identify the occurrence of adverse events from the positive cases on the SC. The inter-rater reliability of two nurses and that of two physicians were assessed. The intra-rater reliability was also evaluated by using test-retest method at approximately two weeks later.
Results
In 84.2% of the patient medical records, the nurses agreed as to the necessity for the second stage review (kappa, 0.68; 95% confidence interval [CI], 0.54 to 0.83). In 93.0% of the patient medical records screened by nurses, the physicians agreed about the absence or presence of adverse events (kappa, 0.71; 95% CI, 0.44 to 0.97). When assessing intra-rater reliability, the kappa indices of two nurses were 0.54 (95% CI, 0.31 to 0.77) and 0.67 (95% CI, 0.47 to 0.87), whereas those of two physicians were 0.87 (95% CI, 0.62 to 1.00) and 0.37 (95% CI, -0.16 to 0.89).
Conclusions
In this study, the medical record review for detecting adverse events showed intermediate to good level of inter-rater and intra-rater reliability. Well organized training program for reviewers and clearly defining SC are required to get more reliable results in the hospital adverse event study.

Summary

Citations

Citations to this article as recorded by

The Korea National Patient Safety Incidents Inquiry Survey: Feasibility of Medical Record Review for Detecting Adverse Events in Regional Public Hospitals
Min Ji Kim, Hee Jung Seo, Hong Mo Koo, Minsu Ock, Jee-In Hwang, Sang-Il Lee
Journal of Patient Safety.2022; 18(5): 389. CrossRef
The Korea National Patient Safety Incidents Inquiry Survey: Characteristics of Adverse Events Identified Through Medical Records Review in Regional Public Hospitals
Min Ji Kim, Hee Jung Seo, Hong Mo Koo, Minsu Ock, Jee-In Hwang, Sang-Il Lee
Journal of Patient Safety.2022; 18(5): 382. CrossRef
Feasibility of Capturing Adverse Events From Insurance Claims Data Using International Classification of Diseases, Tenth Revision, Codes Coupled to Present on Admission Indicators
Juyoung Kim, Eun Young Choi, Won Lee, Hae Mi Oh, Jeehee Pyo, Minsu Ock, So Yoon Kim, Sang-il Lee
Journal of Patient Safety.2022; 18(5): 404. CrossRef
Quality of end-of-life communication in 2 high-risk ICU cohorts: a retrospective cohort study
Tammy L. Pham, Allan Garland
CMAJ Open.2021; 9(2): E570. CrossRef
A Systematic Review of Methods for Medical Record Analysis to Detect Adverse Events in Hospitalized Patients
Dorthe O. Klein, Roger J.M.W. Rennenberg, Richard P. Koopmans, Martin H. Prins
Journal of Patient Safety.2021; 17(8): e1234. CrossRef
Patient Safety Incidents Reported by the General Public in Korea: A Cross-Sectional Study
Minsu Ock, Min-Woo Jo, Eun Young Choi, Sang-Il Lee
Journal of Patient Safety.2020; 16(2): e90. CrossRef
Perceptions of Hospital Health Information Managers Regarding Present on Admission Indicators in Korea: A Qualitative Study
Jee-Hee Pyo, Eun-Young Choi, Hae-Mi Oh, Won Lee, Ju-Young Kim, Min-Su Ock, So-Yoon Kim, Sang-Il Lee
Quality Improvement in Health Care.2020; 26(1): 23. CrossRef
Variation between hospitals and reviewers in detection of adverse events identified through medical record review in Korea
Sukyeong Kim, Ho Gyun Shin, A E Jeong Jo, Ari Min, Minsu Ock, Jee-In Hwang, Youngjin Jeong, Moon Sung Park, Jong Bouk Lee, Tae I K Chang, Eunhyang Song, Heungseon Kim, Sang-Il Lee
International Journal for Quality in Health Care.2020; 32(8): 495. CrossRef
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Dorthe O. Klein, Roger J. M. W. Rennenberg, Richard P. Koopmans, Martin H. Prins
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Prabha Lakhan, Deborah Askew, Noel Hayman, Leigh‐anne Pokino, Cheryl Sendall, Paul J. Clark
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Patient and hospital characteristics that influence incidence of adverse events in acute public hospitals in Portugal: a retrospective cohort study
Paulo Sousa, António Sousa Uva, Florentino Serranheira, Mafalda Sousa Uva, Carla Nunes
International Journal for Quality in Health Care.2018; 30(2): 132. CrossRef
Interpregnancy weight change and adverse pregnancy outcomes: a systematic review and meta-analysis
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