隨著科技發展、社會快速變遷以及醫療技術的進步，人口老化已成為世界趨勢，有關中高齡成人的議題，都是社會大眾所關注的焦點，尤其是醫療與健康知識的創造與傳播，更是生命延續的重要根源。而在網路發達及資訊來源豐富的時代，透過網路搜尋醫學健康資訊逐漸成為重要且普遍的管道，但是，卻也需要更多的思考與判斷，才能有效的吸收資訊並滿足對醫學健康資訊的需求。因此，本研究針對中高齡成人進行研究，試圖建立適合中高齡者的網路醫學健康資訊關聯判準量表，瞭解中高齡者使用網路搜尋醫學健康資訊時的關聯判準偏好與其對使用意圖之關係。
　　本研究採問卷調查法，以年齡45歲以上且有透過網路進行醫學健康相關資訊的搜尋及使用經驗之中高齡為研究對象，以方便取樣的方式來抽取樣本，一共發出430份問卷，回收287份，回收率為67%。問卷調查結果經探索性因素分析、描述性統計、t檢定、單因子變異數分析、皮爾森積差相關分析、信度分析及逐步多元回歸等方式進行資料分析。
　　本研究結果顯示，資訊關聯判準量表具有良好信效度，適合用來測量中高齡者的網路醫學健康資訊關聯判準偏好；量表分為六個面向包括內容、認知、實用、外部資訊、社會情感及社會認同；中高齡者的年齡越低，對其資訊關聯判準的重要程度就越高；非因為疾病而使用網路醫學健康資訊的中高齡者，其社會認同關聯判準高於因為疾病而使用網路醫學健康資訊者；此外，網路醫學健康資訊關聯判準之實用、內容及社會認同構面，皆能正向預測網路醫學健康資訊使用意圖。
　　最後，依據研究結果與結論，對於政府相關單位、教育機構、網站資訊規劃建置者及未來研究提出建議與參考。

The purpose of this study is to develop a scale, based on relevance judgement, theory to assess health-related information on internet for higher-aged adults. In　addition, the research explored the effect of the relevance criterion on the intention to use health-related information on internet.
According to literature review and experts’validations, a 33-item-questionnaire was distributed to adults aged over 45 years with experience of searching health-related information on internet who attended community college computer and internet related classes and had 287 valid samples returned, reaches 67% valid return rate. In this study, the author adopted tatistical techniques including exploratory factor analysis, descriptive analysis, t-test, one-way ANOVA, Pearson’s product-moment correlation, reliability analsis, and multiple stepwise regression analysis.
The study established a reliable and valid scale for higher-aged adults in searching health-related information on nternet. The relevance criteria scale (RCS) composes six dimensions including Content, Cognitive, Utility, Extrinsic-alidation, Social-Emotional, and Social-Identity. The findings revealed that the lower age adults performed better in the RCS dimensions. Higher-aged adults who searching health-related information on internet not because of their diseases performed better in the Social-Identity criteria. Moreover, the relevance criteria of Utility, Content, and Social-Identity all positively predicted the intention to reuse health-related information on internet.
Suggestions were provided for government units, educational institutions, web designers, and future researchers.

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