OBJECTIVES: The purpose of this study was to examine the success and barrier factors of hypertension registration program in Goseong community health center proven improving hypertension treatment rate by community health survey. METHODS: We conducted a qualitative research using both a performance review of the program and in-depth interviews with the 8 operators who had worked for this program in April 2018. RESULTS: In this study, the success factors were analysed as follows: First, the willingness to improve health indicators, second, the implementation of large-scale projects, third, improving program processes, fourth, continuous efforts for achievement of goal, not output or reward, and the barrier factors are as follows. First, uniform output monitering, second, evaluation after the fashion of contest, third, the confusing concept of an integrated health promotion program, fourth, the attitude of the person worried with task change. CONCLUSIONS: This study suggested that the health community health center should follow the basic principles of public health, and the central government should introduce a health policy of decentralization.
Clothing ; Community Health Centers ; Gangwon-do* ; Health Policy ; Health Promotion* ; Health Surveys ; Humans ; Hypertension* ; Politics ; Public Health ; Qualitative Research ; Reward

Background and Objectives: This study analyzed skin prick tests conducted on respiratory allergy patients in the Busan area for a 40-year period and estimated future changes in inhaled allergens.Subjects and Method This study conducted a retrospective analysis of patients who underwent skin prick tests for respiratory allergies at two hospitals. We analyzed 5942 test results out of the total tests of 6174 recorded from 1982 to 2021. Results: For over 40 years, the main inhalant allergens in the Busan area, including house dust mites (HDM), pollen, have been found to be similar to those in other regions. The sensitization rate of HDM was very high, around 50%-60%, in the early 1990s and the early 2010s, and it showed a gradual increase over time. The sensitization rate of pollen were high at 10- year cycles. The sensitization rate of tree pollens showed a decreasing trend after reaching its peak in the late 1980s, but has been steadily increasing since the 2010s, with a sharp rise (over 25%) observed in 2019-2020. The sensitivity to weed and grass pollens was relatively high in the late 1990s and late 2000s, and exhibited a declining trend since. Among the animal allergens, the sensitization rate of cat allergen was the highest (45%). Conclusion We identified high rates of sensitization to house dust mites and tree pollens, and age-related changes over time. With the increasing prevalence of pet ownership, further research is necessary to monitor sensitization changes. Additionally, due to climate change, continuous monitoring of allergen sensitization rates to pollens and molds is called for.

Purpose: To determine seasonal variations in serum potassium levels among hemodialysis patients. Materials and Methods: This was a multicenter cohort study of patients whounderwent hemodialysis and were registered in DialysisNet at our four associated general hospitals between January and December 2016. Month-to-month potassium variability was quantified as SD/√{n/(n-1)}, and a non-hierarchical method was used to cluster groups according to potassium trajectories. Seasonal variations in potassium levels were analyzed using a cosinor analysis. Results: The analysis was performed on 279 patients with a mean potassium level of 5.08±0.58 mmol/L. After clustering, 52.3% (n=146) of patients were included in the moderate group (K+ , 4.6±0.4 mmol/L) and 47.7% (n=133) in the high group (K+ , 5.6±0.4 mmol/L). The mean potassium level peaked in January in the moderate group (4.83±0.74 mmol/L) and in August in the high group (5.51±0.70 mmol/L). In the high potassium group, potassium levels were significantly higher in summer than in autumn (p<0.001) and spring (p=0.007). Month-to-month potassium variability was greater in the high group than in the moderate group (0.59±0.19 mmol/L vs. 0.52±0.21 mmol/L, respectively, p=0.012). Compared to patients in the first quartile of potassium variability (≤0.395 mmol/L), those with higher variability (2nd–4th quartiles) were 2.8–4.2 fold more likely to be in the high potassium group. Conclusion Different seasonal patterns of serum potassium were identified in the moderate and high potassium groups, with potassium levels being significantly higher in the summer season in the high potassium group and in winter for the moderate potassium group.