醫療大數據—高血壓指標的建立及其相關影響之探討

本研究主要研究目的為探討高血壓病患病情加重時是否會依照限鹽意識而做出減少鹽份攝取之行為，進而衍生出相關的預測指標作為行銷用途。使用2015至2018年，醫療機構就診資料庫、食鹽銷售量及意藍科技Opview資料庫做為分析依據，建造高血壓病情狀況、食鹽銷售量及高血壓聲量三組共五個變數，而其一主要變數是以顧客活躍性指標（CAI）模型來建造。本研究以簡單回歸模型來分析變數彼此之間的影響性，並以概括性探討方式，僅研究兩兩變數是否有顯著相關及觀測其相關方向。結果顯示（1）高血壓病情嚴重狀況和落後的食鹽銷售量有顯著負相關；（2）食鹽銷售量和高血壓病情嚴重狀況有顯著正相關；（3）高血壓病況相關之聲量和高血壓病情嚴重有顯著正相關；（4）高血壓飲食食鹽相關之聲量和食鹽銷售量有顯著負相關。進而推得結論，（1）整體病患在病況嚴重時，會實際做出減少鹽份攝取的改善行為；（2）整體患者鈉攝取量增加時，會加重高血壓患者之病情；（3）網路探討高血壓病情聲量增加，顯示後期高血壓病患會增加或是病情加重；（4）網路探討高血壓飲食食鹽相關文章聲量增加，會導致食鹽銷售量下降。最終期望能以本研究變數做為因素之一，來預測食鹽銷售量及高血壓病情狀況。

關鍵字

高血壓；食鹽；鈉；顧客活躍性指標；聲量

並列摘要

The aim of the study was to investigate whether the patients with hypertension will actually follow the awareness of salt restriction to reduce salt intake when the condition of hypertension worsen, and then derive relevant prediction indicators for marketing purposes. Medical institutions' database, sales of salt, and Opview database from 2015 to 2018 were used as the basis for analysis. There were five variables in the three groups: hypertension status, sales of salt, and volume of internet about hypertension was generated. One of the major variables was generated by the Customer Activity Index (CAI) model. In this study, simple regression models was used to analyze the influence of variables on each other, and only observe whether the two variables are significantly related and the related directions. The results showed that (1) there was a significant negative correlation between hypertension severe status and backward sales of salt; (2) there was a significant positive correlation between sales of salt and the hypertension severe status; (3) there was a significant positive correlation between the volume of internet about symptom of hypertension and height of related hypertension There is a significant positive correlation between the hypertension severe status; (4) There was a significant negative correlation between the volume of internet about hypertension, diet and salt. The following conclusions were drawn: (1) When the patient with hypertension is in a severe condition, the overall patient will actually make improvements in reducing salt intake; (2) When the overall patient's sodium intake increases, it will aggravate the condition of the hypertensive patients; (3) The volume of internet about hypertension symptom increase, which indicates that patients with hypertension will increase or worsen their condition in later period; (4) The increase in the volume of internet about hypertension, diet and salt will lead to a drop in salt sales. The ultimate expectation is to use this study variable as one of the factors to predict salt sales and hypertension status.