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中華職業醫學雜誌

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篇名 健康檢查返診的相關因素
卷期 26:3
並列篇名 The Relation Between Return Visit and Health examination
作者 酒小蕙吳碧珠李冠儀鄭雅儒
頁次 195-204
關鍵字 健康信念模式代謝症候群返診健康檢查health belief modelmetabolic syndrome visithealth examinationTSCI
出刊日期 201907

中文摘要

目的:代謝症候群是造成心血管疾病的危險因子,運用健康信念模式瞭解參與成人健康檢查的民眾返診的意願,研究結果可做為未來擬定健康教育的參考。方法:採橫斷式研究設計,立意取樣自2015年11月至2017年3月參與成人健檢民眾,經醫師診斷為初次代謝症候群者,給予問卷填寫。結果:收案132位,代謝症候群發生率為27.8%,代謝症候群的症狀以腰圍過大84.1%最多,以3種症狀佔50.0%最多,門診遵囑性(返診)為63.6%,回家後有改變飲食及運動的比例分別為70.1%、68.2%,代謝症候群症狀數對門診遵囑性(返診)無統計上的顯著差異,未返診的理由以太忙36.1%最多。結論:本研究對象為參與成人健康檢查初診斷為代謝症候群的民眾,因缺乏明顯的症狀表徵,民眾容易忽略疾病控制的重要性,且有正向健康行為,具有不抽菸(80.3%)、不喝酒(70.5%)及不嚼檳榔(94.7%)的,但缺乏適當的運動(50.8%),未來除主動預約返診外,返診時配合檢查,透過護理指導訂定追蹤項目,來提升民眾返診的意願。

英文摘要

Purpose: Metabolic syndrome (MetS) is a risk factor of cardiovascular disease. Health belief model was used to evaluate the revisit rate in this study and the result can be a reference for health education in the future. Methods: It is a cross-sectional study, from November 2015 to March 2017, samples were recruited from the population who were newly-diagnosed with MetS after general health check. The questionnaires were completed by participants. After two months, samples were followed up to identify the revisit. Results: Among 1996 of people, 555 of them were newly diagnosed (27.8%) with MetS. There were 132 people completed the questionnaire. The highest ratio among all the metabolic risk factors was large waistline (84.1%, n=111), and 50.0% (n=66) of samples were recognised with three metabolic risk factors. The health belief model was scored by 5-point Likert scale: five points for strongly agree. The average score of perceived severity was 4.0 ± 0.7 (mean ± standard deviation); perceived susceptibility was 4.1 ± 0.7; perceived benefits was 4.2 ± 0.5; perceived barriers was 2.1 ± 1.0; cues to action was 2.8 ± 0.8. The rate of revisit was 63.3% (n=84). Totally 36.1% of the reason for not showing up was “too occupied” followed by “forgot” (25.0%). The numbers of metabolic risk factor and the intensity of health belief model were both not relevant to the revisit rate (binary logistic, p value > 0.05). Totally 27.8% of cases were diagnosed. It was prone to ignore the possibility of development in disease due to those less obvious symptoms of MetS. Conclusions: Since the health belief model can’t explain the belief of revisit, the medical team needs to use a proactive method to increase patients’ willingness of revisit, such as making another appointment and sending reminders via calls or texts. Studies in the future can be considered to be longitudinal and take environmental as well as curative factors into consideration.

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