scholarly journals Mapping the Korean National Health Checkup Questionnaire to Standard Terminologies

2021 ◽  
Vol 27 (4) ◽  
pp. 287-297
Author(s):  
Ji Eun Hwang ◽  
Hyeoun-Ae Park ◽  
Soo-Yong Shin

Objectives: An increasing emphasis has been placed on the integration of clinical data and patient-generated health data (PGHD), which are generated outside of hospitals. This study explored the possibility of using standard terminologies to represent PGHD for data integration.Methods: We chose the 2020 general health checkup questionnaire of the Korean Health Screening Program as a resource. We divided every component of the questionnaire into entities and values, which were mapped to standard terminologies—Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) version 2020-07-31 and Logical Observation Identifiers Names and Codes (LOINC) version 2.68.Results: Eighty-nine items were derived from the 17 questions of the 2020 health examination questionnaire, of which 76 (85.4%) were mapped to standard terms. Fifty-two items were mapped to SNOMED CT and 24 items were mapped to LOINC. Among the items mapped to SNOMED CT, 35 were mapped to pre-coordinated expressions and 17 to post-coordinated expressions. Forty items had one-to-one relationships, and 17 items had one-to-many relationships.Conclusions: We achieved a high mapping rate (85.4%) by using both SNOMED CT and LOINC. However, we noticed some issues while mapping the Korean general health checkup questionnaire (i.e., lack of explanations, vague questions, and overly narrow concepts). In particular, items combining two or more concepts into a single item were not appropriate for mapping using standard terminologies. Although it is not the case that all items need to be expressed in standard terminology, essential items should be presented in a way suitable for mapping to standard terminology by revising the questionnaire in the future.

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1177
Author(s):  
In Young Choi ◽  
Sohyun Chun ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Keun Hye Jeon ◽  
...  

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.


2015 ◽  
Vol 22 (3) ◽  
pp. 649-658 ◽  
Author(s):  
Kin Wah Fung ◽  
Julia Xu

Abstract Objective Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is the emergent international health terminology standard for encoding clinical information in electronic health records. The CORE Problem List Subset was created to facilitate the terminology’s implementation. This study evaluates the CORE Subset’s coverage and examines its growth pattern as source datasets are being incorporated. Methods Coverage of frequently used terms and the corresponding usage of the covered terms were assessed by “leave-one-out” analysis of the eight datasets constituting the current CORE Subset. The growth pattern was studied using a retrospective experiment, growing the Subset one dataset at a time and examining the relationship between the size of the starting subset and the coverage of frequently used terms in the incoming dataset. Linear regression was used to model that relationship. Results On average, the CORE Subset covered 80.3% of the frequently used terms of the left-out dataset, and the covered terms accounted for 83.7% of term usage. There was a significant positive correlation between the CORE Subset’s size and the coverage of the frequently used terms in an incoming dataset. This implies that the CORE Subset will grow at a progressively slower pace as it gets bigger. Conclusion The CORE Problem List Subset is a useful resource for the implementation of Systematized Nomenclature of Medicine Clinical Terms in electronic health records. It offers good coverage of frequently used terms, which account for a high proportion of term usage. If future datasets are incorporated into the CORE Subset, it is likely that its size will remain small and manageable.


2019 ◽  
Vol 1 (1) ◽  
pp. 21-25
Author(s):  
Bikash Shrestha ◽  
Bipin Nepal ◽  
Ravi Mahat ◽  
Abish Adhikari

Non Communicable diseases (NCDs) are now endemic in low and middle income countries. Nepal had a high burden of communicable diseases (CDs) which has now been overtaken by NCDs. Although prevention and control of NCDs is prioritized in national policies and strategies, there is no proper monitoring system. This study aims to review the morbidity pattern among the adults seeking preventive general health checkup in a major tertiary care hospital in Kathmandu. 3000 cases were evaluated. 53.6% were males and 46.4% were females. The mean age of cases was 44.9 yrs. Most of the cases ranged from 40 to 60 years of age. Almost half of them were from Kathmandu district. Nearly 78% participants live a sedentary life. Abdominal obesity was seen in 27.5% of females and 21.7% of males. Nearly 49% of cases were overweight and 24% were obese. Almost 21 % of the cases were smokers and about 36% of them consumed alcohol. Only 9% are vegetarians. 10% have diabetes and 20% have hypertension. 69% of females and 43% of males have less than normal bone mineral density. The government and private sectors must focus on strengthening preventive and curative services for early detection of risk factors and management of NCDs.


2011 ◽  
Vol 50 (05) ◽  
pp. 472-478 ◽  
Author(s):  
C. Lundberg ◽  
A. Coenen ◽  
D. Konicek ◽  
H. A. Park

SummaryObjectives: The purpose of this study is to evaluate the ability of SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) to represent the concepts of the ICNP version 1 – the seven-axis model.Methods: The first author mapped 1658 concepts of the ICNP version 1 to SNOMED CT using CLUE browser 5.0. The second author from SNOMED Terminology Solutions – with a team of SNOMED CT experts – and the third author from the ICN with a team of ICNP experts validated the mapping result. If there was any disagreement during the validation process, the three of us convened online meetings to reach a consensus.Results: In total, SNOMED CT covered 1331 out of 1658 (80%) ICNP seven-axis model concepts ranging from a 61% coverage rate of the Actions Axis concepts to a 94% coverage rate of the Judgment axis concepts.Conclusions: SNOMED CT can represent most (80%) of the ICNP version 1 concepts. However, improvements in the ICNP version 1 in terms of concept naming and definition, and the addition of missing concepts to SNOMED CT, would lead to a greater harmonization of the ICNP seven-axis model version 1 concepts with SNOMED CT.


Author(s):  
Jinhee Jeong ◽  
Yunhee Lee ◽  
Sung Hee Kwon ◽  
Jun-Pyo Myong

Background: The number of married female immigrants living in Korea has been increasing and is expected to increase further. This study was performed to identify factors associated with national general health screening participation among married immigrant women living in South Korea. Methods: The Korean National Health Insurance System’s (NHIS) customized database for the years 2014 and 2015 was used. The targets of this study were women aged 19 years old and above. To identify factors associated with national general health screening participation, the following analyses were employed: frequency, chi-square, simple regression, and multiple regression. Results: A total of 11,213 women were identified in the NHIS database. Overall, 67.4% participated in national general health screenings, lower than the 74.6% participation rate of the entire women’s health screening program. Married immigrant women with a job had higher health screening participation than those without a job (OR = 2.822, p < 0.0001). Age, socioeconomic status, and duration of stay were related to health screening behaviors among employed married immigrant women. Nationality, socioeconomic status, duration of stay, and disease status were associated with general health screening behaviors among unemployed immigrant women. The odds ratios decreased as the length of stay increased, regardless of employment status. Conclusion: The results of this study showed that employment status and duration of stay in Korea are significantly associated with general health screening participation. Accordingly, to improve awareness about health screening and health care disparities, programs promoting health screening participation for socially vulnerable classes, including immigrant women and unemployed women, should be instigated.


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