臺灣博碩士論文加值系統

本研究應用最大差異分析法（MaxDiff），探討民眾選擇自費健康檢查服務的偏好因素，以某醫院健康管理中心為例，系統性地分析影響選擇健康檢查服務的關鍵因素。研究目的在於識別和評估影響民眾選擇自費健康檢查服務的關鍵因素，並分析不同群體之間的偏好差異。
研究方法包括文獻回顧和問卷調查，通過最大差異分析對數據進行處理，確定各項服務特徵的重要性。研究結果顯示，民眾在選擇自費健康檢查服務時，最重視的是多科專科醫師的會診諮詢與解說報告、後續醫療服務的提供以及個性化健康管理建議。相比之下，檢查空間的舒適度、檢查費用和線上客服的即時性則較不被重視。
進一步分析顯示，不同健康狀況及檢查頻率的受訪者對於檢查服務的偏好存在差異。健康狀況較差和高頻率自費健檢的受訪者更重視專業醫療服務和後續健康管理，而健康狀況較好和低頻率自費健檢的受訪者則相對更關注檢查的便捷性和費用。此外，年齡、性別、婚姻狀況等因素也顯著影響民眾的選擇偏好。年輕族群更注重檢查流程的效率和便捷性，年長者則更關心檢查後的健康管理建議；女性參與者對檢查場所的舒適度、熟悉度和私密性有較高需求，男性則較重視效率與方便性；已婚者比未婚者更重視檢查後的醫療服務和健康管理建議。
根據研究結果，本研究提出以下建議：醫院應優化專科醫師會診與報告解說服務，並加強後續醫療服務和個性化健康管理建議的提供。此外，針對不同健康狀況和檢查頻率的群體制定差異化服務策略，以提高服務滿意度和吸引力。
本研究結果可為醫院健康管理中心提供實證依據，以優化服務內容和制定更具針對性的營銷策略，提升自費健康檢查服務的吸引力和滿意度。研究同時指出了數據收集和分析過程中的一些限制，並建議未來研究可以引入更多樣本和更長期的追蹤調查，以進一步驗證和拓展本研究的結果。通過本研究，希望能夠促進健康管理中心更好地理解客戶需求，提升健康檢查服務的品質和滿意度，最終改善民眾的整體健康水平。

This study applies the MaxDiff method to explore the factors influencing individuals' preferences for self-paid health check-up services, using a health management center at a specific hospital as a case study. The aim is to systematically analyze the key factors affecting the choice of health check-up services and to identify and evaluate the key factors influencing individuals' preferences for self-paid health check-up services. Additionally, the study analyzes the differences in preferences among different groups.
The research methods include a literature review and a questionnaire survey. Data were processed using the MaxDiff method to determine the importance of various service features. The results show that when choosing self-paid health check-up services, individuals place the highest importance on multidisciplinary specialist consultations and explanations, the provision of follow-up medical services, and personalized health management recommendations. In contrast, the comfort of the check-up environment, the cost of the check-up, and the immediacy of online customer service are less valued.
Further analysis reveals differences in preferences for check-up services among respondents with different health conditions and check-up frequencies. Respondents with poorer health and those who undergo frequent self-paid check-ups place more importance on professional medical services and follow-up health management, while those with better health and infrequent self-paid check-ups focus more on the convenience and cost of the check-ups. Additionally, factors such as age, gender, and marital status significantly influence individuals' preferences. Younger individuals prioritize the efficiency and convenience of the check-up process, while older individuals are more concerned with health management recommendations post-check-up. Female participants have higher demands for the comfort, familiarity, and privacy of the check-up location, while male participants value efficiency and convenience more. Married individuals place more importance on post-check-up medical services and health management recommendations compared to unmarried individuals.
Based on the findings, this study offers the following recommendations: hospitals should optimize specialist consultation and report explanation services, and strengthen the provision of follow-up medical services and personalized health management recommendations. Additionally, differentiated service strategies should be developed for groups with different health conditions and check-up frequencies to enhance service satisfaction and attractiveness.
The results of this study can provide empirical evidence for health management centers to optimize service content and develop more targeted marketing strategies, thereby enhancing the attractiveness and satisfaction of self-paid health check-up services. The study also highlights some limitations in data collection and analysis and suggests that future research should include larger samples and longer-term follow-up surveys to further validate and expand the findings. Through this research, it is hoped that health management centers can better understand customer needs, improve the quality and satisfaction of health check-up services, and ultimately enhance the overall health levels of the population.

目 錄
誌謝
中文摘要i
Abstractiii
表 目 錄vi
圖 目 錄vii
第一章 緒論1
第一節 研究背景2
第二節 研究動機4
第三節 研究目的7
第四節 研究重要性11
第二章 文獻探討14
第一節 預防醫學的沿革與重要性14
第二節 健康服務利用模式的多維度分析15
第三節 MaxDiff分析法介紹與其優勢20
第三章 研究方法22
第一節 研究架構與流程22
第二節 研究對象與樣本選取26
第三節 問卷設計與屬性定義28
第四節 資料分析方法34
第四章 研究結果36
第一節 樣本總體描述性分析36
第二節 Maxdiff最大差異分析44
第五章 結論與建議90
第一節 研究結果討論90
第二節 結論106
第三節 研究限制與建議108
參考文獻111
附錄116

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