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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
  • 1,545 View
  • 102 Download
AbstractAbstract 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
  • 6,887 View
  • 196 Download
  • 8 Crossref
AbstractAbstract PDFSupplementary Material
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
  • 9,396 View
  • 112 Download
  • 12 Crossref
AbstractAbstract PDFSupplementary 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
  • The Harvard medical practice study trigger system performance in deceased patients
    Dorthe O. Klein, Roger J. M. W. Rennenberg, Richard P. Koopmans, Martin H. Prins
    BMC Health Services Research.2019;[Epub]     CrossRef
  • Optimising Hepatitis C care in an urban Aboriginal and Torres Strait Islander primary health care clinic
    Prabha Lakhan, Deborah Askew, Noel Hayman, Leigh‐anne Pokino, Cheryl Sendall, Paul J. Clark
    Australian and New Zealand Journal of Public Health.2019; 43(3): 228.     CrossRef
  • 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
    Eugene Oteng-Ntim, Sofia Mononen, Olga Sawicki, Paul T Seed, Debra Bick, Lucilla Poston
    BMJ Open.2018; 8(6): e018778.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health