博碩士論文 103481023 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:25 、訪客IP:3.12.146.100
姓名 王柔文(Rouwen Wang)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 醫病共同決策對侵入性醫療服務品質的影響:中間機制與調節效果之探討
(The mediating mechanism and moderating effect of shared decision-making between physicians and patients on the quality of invasive healthcare services)
相關論文
★ 從生態共生觀點發展組織合作模式★ 影響產業垂直分工因素之探討
★ 發展台籍專業管家的人力派遣模式★ 影響軍事機關審計品質之關鍵性因素及其相對效率衡量
★ 台灣光碟片設備供應商競爭策略分析★ 國防科技研發機構組織向心力之研究
★ 衡量半導體零組件通路商之相對經營績效★ 衡量半導體晶圓代工廠商生產單位之營運績效
★ 商業銀行營運型態與組織調整對分行營運效率的影響★ 發展行動條碼為基礎的隨傳隨用視訊平台之應用
★ 飛機引擎定子零件維修之訂價調整方式★ 國際化、創新活動與公司績效:台灣上市公司董事會結構論析
★ 探討網際網路事件達成關鍵多數之影響因素★ 生態循環農業產銷策略個案研究
★ 探討以政策規範高耗能產業參與再生能源開發之綜效-以太陽光電發電系統為例★ 適地性服務(LBS)之顧客體驗整合性設計—以中華電信行動導遊為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 病患對於自主決定醫療決策的權益日漸重視,因此醫病溝通成為影響醫療服務品質的重要部分。先前的研究多數集中於醫師與病患雙方交流對療程結果的直接性影響。在本研究中,我們衡量服務過程中每個構面之間的關聯性,以及服務過程構面因素對醫療結果的影響性。本研究使用行為理論擴展Donabedian醫療服務品質結構-過程-結果模型的過程階段,藉以驗證病患的認知變化和醫病溝通反饋共識對病患的依從行為之影響。此外,本研究檢驗醫療機構等級的調節效果。受訪者返回的有效問卷共397份,回覆率為92.11%。本研究設計了三個框架模型來進行分析,包括單向路徑結構方程模型、雙向路徑結構方程模型、調節效果模型。單向路徑模型和雙向路徑模型皆是採用結構方程式藉以測量構面與構面之間的關係;調節效果模型被用於測量不同醫療機構等級的調節作用。分析結果顯示,醫療服務流程中的醫療過程包括三個中介變數:醫病溝通、認知效能、依從行為。醫療服務結構會透過這三個醫療過程變數間接影響療程結果。不僅如此,醫病溝通會直接影響病患對於療程的認知療效 (β = 0.16,p < 0.001),病患對於療程效用的理解會直接反饋醫病溝通的品質 (β = 0.18,p < 0.001)。而醫師與病患這樣的交流共識與病患對於醫囑的依從行為有直接關聯 (β = 0.38,p < 0.001)。最後,醫療機構等級對於病患感知的服務品質會有顯著的調節作用。具體而言,在醫學中心接受治療的病患之遵從醫囑的行為受醫療機構結構面與醫病溝通的影響大於在區域醫院接受治療的病患。基於本研究的結果發現,證實了醫療服務構面之間潛在且重要的複雜關係。此外,本研究之發現證明醫療服務過程中,醫病共識所扮演的重要角色,並可作為改善醫療服務品質與提升病患依從性之參考。
摘要(英) There is growing interest in patient autonomy, and communication between physicians and patients has become the essential cornerstone for improving the quality of healthcare services. Previous research has concentrated on the direct effect of physician-patient communication on service outcomes. In the present study, we examine the influence of constructs in the service process and the impact on healthcare outcomes. The present study used behavioral theory to expand the process aspect of the Donabedian healthcare service quality structure-process-outcome model to examine the impact of cognitive changes and communication feedback on patients’ adherence behavior. In addition, the moderating effect of hospital facility levels is examined. A conceptual model was developed and tested using a questionnaire administered to patients in eight hospitals. A total of 397 respondents returned usable surveys, with a response rate of 92.11%. This study uses three models to analyze the data, including a recursive (one-way path) model, a non-recursive (bidirectional path) structural equation model, and a moderated model. The recursive structural models and non-recursive structural models are used to test the hypothesized relationships of the constructs; the moderated model is used to measure the effect of moderation between the different levels of hospital facilities. The results identify three mediators of the healthcare process within the healthcare services framework: physician-patient communication, cognitive efficacy, and adherence behavior. Physician-patient communication influence cognitive efficacy (β = 0.16, p < 0.001), and cognitive efficacy influence physician-patient communication (β = 0.18, p < 0.001). The effect of this bidirectional relationship on adherence behavior was positive (β = 0.38, p < 0.001). The healthcare structure influences healthcare outcomes via these three healthcare process constructs. The adherence behavior of patients who were treated in the medical center had a greater influence on the structure and physician-patient communication than that of patients who were treated in the regional hospitals. The findings of this study validate a potentially important and complex relationship between health care components. In addition, this study proves the important role played by the medical-patient consensus in the medical service process, and could be used as a reference for improving the quality of medical services and enhancing patient compliance.
關鍵字(中) ★ 醫療服務品質
★ 結構方程模式
★ 醫病溝通
★ 共同決策
★ 雙向關係
★ 調節效果
關鍵字(英) ★ Quality of healthcare services
★ Structural equation modeling
★ Physician-patient communication
★ Shared decision making
★ Bidirectional relationship
★ Moderating effect
論文目次 摘要 i
ABSTRACT iii
CONTENTS v
LIST OF FIGURES vii
LIST OF TABLES viii
CHAPTER 1 INTRODUCTION 1
1.1 Research Background and Motivation 1
1.2 Research Objectives 4
CHAPTER 2 LITERATURE REVIEW AND HYPOTHESES 5
2.1 Donabedian’s Quality of Health Care Service Model 5
2.2 Shared Decision-Making 7
2.3 Behavioral Theory 9
2.4 Research Framework 12
CHAPTER 3 RESEARCH METHODOLOGY 16
3.1 Study Setting and Design 16
3.2 Inclusion and Exclusion Criteria of Participants 17
3.3 Sample Size Determination 17
3.4 Measurements and Variables 18
3.5 Data Analysis 25
3.6 Ethical Considerations 26
CHAPTER 4 RESEARCH RESULTS 27
4.1 Demographic Profile of Respondents 27
4.2 Reliability and Validity 28
4.3 Model 1: Recursive (one-way path) Structural Equation Model 33
4.4 Model 2: Non-Recursive (bidirectional path) Structural Equation Model 36
4.5 Model 3: Moderated Structural Equation Model 40
CHAPTER 5 DISCUSSION 43
5.1 General Discussion 43
5.2 Theoretical Contributions 43
5.3 Practical Implications 45
5.4 Limitations and Future Research 47
CHAPTER 6 CONCLUSION 49
LIST OF ABBREVIATIONS 50
REFERENCE 51
APPENDIX 1. QUESTIONNAIRE DEVELOPED FOR THIS STUDY 70
參考文獻 Ambigapathy, R., Chia, Y. C., & Ng, C. J. (2016). Patient involvement in decision-making: a cross-sectional study in a Malaysian primary care clinic. BMJ open, 6(1), e010063. https://doi.org/10.1136/bmjopen-2015-010063
Ameh, S., Gómez-Olivé, F. X., Kahn, K., Tollman, S. M., & Klipstein-Grobusch, K. (2017). Relationships between structure, process and outcome to assess quality of integrated chronic disease management in a rural South African setting: applying a structural equation model. BMC Health Services Research, 17(1), 1-15. https://doi.org/10.1186/s12913-017-2177-4
Bachrach‐Lindström, M., Jensen, S., Lundin, R., & Christensson, L. (2007). Attitudes of nursing staff working with older people towards nutritional nursing care. Journal of Clinical Nursing, 16(11), 2007-2014. https://doi.org/10.1111/j.1365-2702.2006.01868.x
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
Bear, M., & Bowers, C. (1998). Using a nursing framework to measure client satisfaction at a nurse‐managed clinic. Public Health Nursing, 15(1), 50-59. https://doi.org/10.1111/j.1525-1446.1998.tb00321.x
Berger, Z. D., Boss, E. F., & Beach, M. C. (2017). Communication behaviors and patient autonomy in hospital care: A qualitative study. Patient Education and Counseling, 100(8), 1473-1481. https://doi.org/10.1016/j.pec.2017.03.006
Biering, P., Becker, H., Calvin, A., & Grobe, S. J. (2006). Casting light on the concept of patient satisfaction by studying the construct validity and the sensitivity of a questionnaire. International Journal of Health Care Quality Assurance, 19(2-3): 246-258. https://doi.org/10.1108/09526860610661464
Biglu, M. H., Nateq, F., Ghojazadeh, M., & Asgharzadeh, A. (2017). Communication skills of physicians and patients’ satisfaction. Materia Socio-Medica, 29(3), 192-195. https://doi.org/10.5455/msm.2017.29.192-195
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods and Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005
Bullock, S., Morecroft, C. W., Mullen, R., & Ewing, A. B. (2017). Hospital patient discharge process: an evaluation. European Journal of Hospital Pharmacy: Science and Practice, 24(5), 278-282. https://doi.org/10.1136/ejhpharm-2016-000928
Butkus, R., Rapp, K., Cooney, T. G., & Engel, L. S. (2020). Envisioning a better US health care system for all: Reducing barriers to care and addressing social determinants of health. Annals of Internal Medicine, 172(2 Suppl), S50-S59. https://doi.org/10.7326/M19-2410
Bylund, C. L., D’Agostino, T. A., Ho, E. Y., & Chewning, B. A. (2010). Improving clinical communication and promoting health through concordance-based patient education. Communication Education, 59(3), 294-311. https://doi.org/10.1080/03634521003631952
Celik, H. (2016). Customer online shopping anxiety within the unified theory of acceptance and use technology (UTAUT) framework. Asia Pacific journal of Marketing and Logistics, 28(2), 278-307. https://doi.org/10.1108/APJML-05-2015-0077
Chang, D. S., Chen, W. L., & Wang, R. Impact of the bidirectional relationship between communication and cognitive efficacy on orthopedic patient adherence behavior. BMC Health Serv Res 22, 199 (2022). https://doi.org/10.1186/s12913-022-07575-5
Charles, C., Gafni, A., & Whelan, T. (1999). Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model. Social Science and Medicine, 49(5), 651-661. https://doi.org/10.1016/s0277-9536(99)00145-8
Charles, C., Gauld, M., Chambers, L., O’Brien, B., Haynes, R. B., & Labelle, R. (1994). How was your hospital stay? Patients’ reports about their care in Canadian hospitals. CMAJ: Canadian Medical Association Journal, 150(11), 1813-1822.
Chou, A. F., Yano, E. M., McCoy, K. D., Willis, D. R., & Doebbeling, B. N. (2008). Structural and process factors affecting the implementation of antimicrobial resistance prevention and control strategies in U.S. hospitals. Health Care Management Review, 33(4), 308-322. https://doi.org/10.1097/01.HCM.0000318768.36901.ef
Cimperman, M., Brenčič, M. M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior—applying an extended UTAUT model. International Journal of Medical Informatics, 90, 22-31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
Craig, A. R., Otani, K., & Herrmann, P. A. (2015). Evaluating the influence of perceived pain control on patient satisfaction in a hospital setting. Hospital Topics, 93(1), 1-8. https://doi.org/10.1080/00185868.2015.1012926
Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: an interpersonal influence perspective. Journal of Marketing, 54(3), 68-81. https://doi.org/10.2307/1251817
Crow, R., Gage, H., Hampson, S., Hart, J., Kimber, A., & Thomas, H. (1999). The role of expectancies in the placebo effect and their use in the delivery of health care: a systematic review. Health Technology Assessment, 3(3), 1-96.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
De Haes, H., & Bensing, J. (2009). Endpoints in medical communication research, proposing a framework of functions and outcomes. Patient Education and Counseling, 74(3), 287-294. https://doi.org/10.1016/j.pec.2008.12.006
Defar, A., Getachew, T., Taye, G., Tadele, T., Getnet, M., Shumet, T., Molla, G., Gonfa, G., Teklie, H., Tadesse, A., & Bekele, A. (2020). Quality antenatal care services delivery at health facilities of Ethiopia, assessment of the structure/input of care setting. BMC Health Services Research, 20(1), 1-9. https://doi.org/10.1186/s12913-020-05372-6
Del Bano-Aledo, M. E., Medina-Mirapeix, F., Escolar-Reina, P., Montilla-Herrador, J., & Collins, S. M. (2014). Relevant patient perceptions and experiences for evaluating quality of interaction with physiotherapists during outpatient rehabilitation: A qualitative study. Physiotherapy, 100(1), 73-79. https://doi.org/10.1016/j.physio.2013.05.001
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
Di Blasi, Z., Harkness, E., Ernst, E., Georgiou, A., & Kleijnen, J. (2001). Influence of context effects on health outcomes: a systematic review. Lancet, 357(9258), 757-762. https://doi.org/10.1016/s0140-6736(00)04169-6
Dibbelt, S., Schaidhammer, M., Fleischer, C., & Greitemann, B. (2009). Patient-doctor interaction in rehabilitation: the relationship between perceived interaction quality and long-term treatment results. Patient Education and Counseling, 76(3), 328-335. https://doi.org/10.1016/j.pec.2009.07.031
DiMatteo, M. R., Haskard-Zolnierek, K. B., & Martin, L. R. (2012). Improving patient adherence: a three-factor model to guide practice. Health Psychology Review, 6(1), 74-91. https://doi.org/10.1080/17437199.2010.537592
Donabedian, A. (1988). The quality of care. How can it be assessed?. JAMA, 260(12), 1743-1748. https://doi.org/10.1001/jama.260.12.1743
Donabedian, A. (1966). Evaluating the quality of medical care. Milbank Memorial Fund Quarterly, 44(3), 166-206. https://dx.doi.org/10.1111%2Fj.1468-0009.2005.00397.x
Donabedian, A. (2003). An introduction to quality assurance in health care. Oxford: Oxford University Press. https://doi.org/10.1093/intqhc/mzg052
Dünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M., & Krcmar, H. (2012). Determinants of physicians’ technology acceptance for e-health in ambulatory care. International Journal of Medical Informatics, 81(11), 746-760. https://doi.org/10.1016/j.ijmedinf.2012.02.002
Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2016). A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly, 33(1), 174-187. https://doi.org/10.1016/j.giq.2015.06.003
Eriksson, U., & Svedlund, M. (2007). Struggling for confirmation--patients’ experiences of dissatisfaction with hospital care. Journal of Clinical Nursing, 16(3), 438-446. https://doi.org/10.1111/j.1365-2702.2005.01544.x
Evans, C. H., Gouze, J. N., Gouze, E., Robbins, P. D., & Ghivizzani, S. C. (2004). Osteoarthritis gene therapy. Gene Therapy, 11(4), 379-389. https://doi.org/10.1038/sj.gt.3302196
Farjah, F., Varghese, T. K., Costas, K., Krishnadasan, B., Farivar, A. S., Hubka, M., Louie, B. E., Backhus, L. M., Chong, N., Gorden, J., Cheng, A. M., He, H., Flum, D. R., Low, D., Aye, R., Vallières, E., Mulligan, M. S., & Wood, D. E. (2014). Lung resection outcomes and costs in Washington State: a case for regional quality improvement. The Annals of Thoracic Surgery, 98(1):175-182. https://doi.org/10.1016/j.athoracsur.2014.03.014
Filardo, G., Roffi, A., Merli, G., Marcacci, T., Ceroni, F. B., Raboni, D., Kon, E., Marcacci, M. (2017). Patients control preferences and results in knee arthroplasty. Knee Surgery, Sports Traumatology, Arthroscopy, 25(2), 552-558. https://doi.org/10.1007/s00167-016-4405-6
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. https://doi.org/10.2307/4393175
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
General Medical Council. (2013). Good medical practice. Manchester: GMC.
Gleyze, P., & Coudane, H. (2016). Patient information in orthopedic and trauma surgery. Fundamental knowledge, legal aspects and practical recommendations. Orthopaedics and Traumatology: Surgery and Research, 102(1 Suppl), S105-S111. https://doi.org/10.1016/j.otsr.2015.06.028
González, N., Quintana, J. M., Bilbao, A., Escobar, A., Aizpuru, F., Thompson, A., Esteban, C., Sebastián, J. A., & de la Sierra, E. (2005). Development and validation of an in-patient satisfaction questionnaire. International Journal for Quality in Health Care, 17(6), 465-472. https://doi.org/10.1093/intqhc/mzi067
Gronroos, C. (1984) A service quality model and its marketing implications. European Journal of Marketing, 18, 36-44. https://doi.org/10.1108/EUM0000000004784
Guadagnoli, E., & Ward, P. (1998). Patient participation in decision-making. Social Science and Medicine, 47(3), 329-339. https://doi.org/10.1016/s0277-9536(98)00059-8
Ha, J. F., & Longnecker, N. (2010). Doctor-patient communication: a review. The Ochsner Journal, 10(1), 38-43.
Hågensen, G., Nilsen, G., Mehus, G., & Henriksen, N. (2018). The struggle against perceived negligence. A qualitative study of patients’ experiences of adverse events in Norwegian hospitals. BMC Health Services Research, 18(1), 1-11. https://doi.org/10.1186/s12913-018-3101-2
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R.L. (1998) Multivariate Data Analysis. Prentice Hall, Upper Saddle River.
Hamilton, J. G., Lillie, S. E., Alden, D. L., Scherer, L., Oser, M., Rini, C., Tanaka, M., Baleix, J., Brewster, M., Craddock Lee, S., Goldstein, M. K., Jacobson, R. M., Myers, R. E., Zikmund-Fisher, B. J., & Waters, E. A. (2017). What is a good medical decision? A research agenda guided by perspectives from multiple stakeholders. Journal of Behavioral Medicine, 40(1), 52-68. https://doi.org/10.1007/s10865-016-9785-z
Harding, A., Preston, N., Doherty, J., Cousins, E., Varey, S., McCann, A., Dening, K. H., Finucane, A., Carter, G., Mitchell, G., & Brazil, K. (2021). Developing and evaluating online COVID-centric advance care planning training and information resources for nursing staff and family members in nursing homes: the necessary discussions study protocol. BMC Geriatrics, 21(1), 1-8. https://doi.org/10.1186/s12877-021-02398-1
Hawthorne, G., Sansoni, J., Hayes, L., Marosszeky, N., & Sansoni, E. (2014). Measuring patient satisfaction with health care treatment using the short assessment of patient satisfaction measure delivered superior and robust satisfaction estimates. Journal of Clinical Epidemiology, 67(5), 527-537. https://doi.org/10.1016/j.jclinepi.2013.12.010
He, Y., Yang, F., Mu, D., Xing, Y., & Li, X. (2016). Examination of psychosocial predictors of Chinese hospital pharmacists’ intention to provide clinical pharmacy services using the theory of planned behaviour: a cross-sectional questionnaire study. BMJ Open, 6(10), e012775. https://doi.org/10.1136/bmjopen-2016-012775
Heaney, F., & Hahessy, S. (2011). Patient satisfaction with an orthopaedic pre-operative assessment clinic. International Journal of Orthopaedic and Trauma Nursing, 15(2), 82-91. https://doi.org/10.1016/j.ijotn.2010.10.003
Henselmans, I., Heijmans, M., Rademakers, J., & van Dulmen, S. (2015). Participation of chronic patients in medical consultations: patients’ perceived efficacy, barriers and interest in support. Health Expectations, 18(6), 2375-2388. https://doi.org/10.1111/hex.12206
Hoe, S. L. (2008). Issues and procedures in adopting structural equation modelling technique. Journal of Quantitative Methods, 3(1), 76-83. Available at: https://ink.library.smu.edu.sg/sis_research/5168
Hoelter, J. W. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods and Research, 11(3), 325-344. https://doi.org/10.1177/0049124183011003003
Holden, R. J., & Karsh, B.-T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159e172. http://dx.doi.org/10.1016/j.jbi.2009.07.002.
Howell, D. C. (2012). Statistical methods for psychology: Cengage Learning.
Hoyle, R. H. (2011). Structural equation modeling for social and personality psychology: SAGE Publications Ltd.
Iacobucci, D., Saldanha, N., & Deng, X. (2007). A meditation on mediation: Evidence that structural equations models perform better than regressions. Journal of Consumer Psychology, 17(2), 139-153. https://doi.org/10.1016/S1057-7408(07)70020-7
Irvine, D., Sidani, S., & Hall, L. M. (1998). Finding value in nursing care: A framework for quality improvement and clinical evaluation. Nursing Economics, 16(3), 110-118.
Jangland, E., Gunningberg, L., & Carlsson, M. (2009). Patients’ and relatives’ complaints about encounters and communication in health care: evidence for quality improvement. Patient Education and Counseling, 75(2), 199-204. https://doi.org/10.1016/j.pec.2008.10.007
Jansson, I., Pilhammar‐Andersson, E., & Forsberg, A. (2010). Evaluation of documented nursing care plans by the use of nursing‐sensitive outcome indicators. Journal of Evaluation in Clinical Practice, 16(3), 611-618. https://doi.org/10.1111/j.1365-2753.2009.01233.x
Jenkinson, C., Coulter, A., & Bruster, S. (2002). The picker patient experience questionnaire: development and validation using data from in-patient surveys in five countries. International Journal for Quality in Health Care, 14(5), 353-358. https://doi.org/10.1093/intqhc/14.5.353
Johnson, M., & Moorhead, S. (2000). Nursing outcomes classification (NOC). Mosby.
Kaba, B., & Touré, B. (2014). Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country. Journal of the Association for Information Science and Technology, 65(8), 1662-1674. https://doi.org/10.1002/asi.23069
Kee, J. W., Khoo, H. S., Lim, I., & Koh, M. Y. (2018). Communication skills in patient-doctor interactions: learning from patient complaints. Health Professions Education, 4(2), 97-106. https://doi.org/10.1016/j.hpe.2017.03.006
Kenny, D. A. (1979). Correlation and causality. New York: Wiley.
Kim, K. H. (2005). The relation among fit indexes, power, and sample size in structural equation modeling. Structural Equation Modeling, 12(3), 368-390. https://doi.org/10.1207/s15328007sem1203_2
Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
Kobayashi, H., Takemura, Y., & Kanda, K. (2011). Patient perception of nursing service quality; an applied model of Donabedian’s structure-process-outcome approach theory. Scandinavian Journal of Caring Sciences, 25(3), 419-425. https://doi.org/10.1111/j.1471-6712.2010.00836.x
Kunkel, S., Rosenqvist, U., & Westerling, R. (2007). The structure of quality systems is important to the process and outcome, an empirical study of 386 hospital departments in Sweden. BMC Health Services Research, 7(1), 104. https://doi.org/10.1186/1472-6963-7-104
Kutner, L. (1968). Due process of euthanasia: the living will, a proposal. Indiana Law Journal, 44(4), 539-554.
Kyriazos, T. A. (2018). Applied psychometrics: sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychologist, 9(08), 2207-2231. https://doi.org/10.4236/psych.2018.98126
Labarere, J., Francois, P., Auquier, P., Robert, C., & Fourny, M. (2001). Development of a French inpatient satisfaction questionnaire. International Journal for Quality in Health Care, 13(2), 99-108. https://doi.org/10.1093/intqhc/13.2.99
Laferton, J. A., Kube, T., Salzmann, S., Auer, C. J., & Shedden-Mora, M. C. (2017). Patients’ expectations regarding medical treatment: A critical review of concepts and their assessment. Frontiers in Psychology, 8, 233. https://doi.org/10.3389/fpsyg.2017.00233
Lee, B. (2007). Identifying outcomes from the nursing outcomes classification as indicators of quality of care in Korea: A modified delphi study. International Journal of Nursing Studies, 44(6), 1021-1028. https://doi.org/10.1016/j.ijnurstu.2006.03.016
Levinson, W., Gorawara-Bhat, R., & Lamb, J. (2000). A study of patient clues and physician responses in primary care and surgical settings. JAMA, 284(8), 1021-1027. https://doi.org/10.1001/jama.284.8.1021
Levinson, W., Roter, D. L., Mullooly, J. P., Dull, V. T., & Frankel, R. M. (1997). Physician-patient communication. The relationship with malpractice claims among primary care physicians and surgeons. JAMA, 277(7), 553-559. https://doi.org/10.1001/jama.277.7.553
Lewin, S. A., Skea, Z. C., Entwistle, V., Zwarenstein, M., & Dick, J. (2001). Interventions for providers to promote a patient-centred approach in clinical consultations. Cochrane Database of Systematic Reviews, 4(10). https://doi.org//10.1002/14651858.CD003267
Loehlin, J., & Beaujean, A. (2017). Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis. New York, NY: Taylor & Francis.
Lynn, M. R., McMillen, B. J., & Sidani, S. (2007). Understanding and measuring patients’ assessment of the quality of nursing care. Nursing Research, 56(3), 159-166. https://doi.org/10.1097/01.NNR.0000270025.52242.70
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210. https://doi.org/10.1207/s15327906mbr3202_5
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149. http://dx.doi.org/10.1037/1082-989X.1.2.130
MacCallum, R. C., Browne, M. W., & Cai, L. (2006). Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychological Methods, 11(1), 19-35. https://doi.org/10.1037/1082-989X.11.1.19
Madigan, R., Louw, T., Wilbrink, M., Schieben, A., & Merat, N. (2017). What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems. Transportation Research Part F: Traffic Psychology and Behaviour, 50, 55-64. https://doi.org/10.1016/j.trf.2017.07.007
Magsamen-Conrad, K., Upadhyaya, S., Joa, C. Y., & Dowd, J. (2015). Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices. Computers in Human Behavior, 50, 186-196. https://doi.org/10.1016/j.chb.2015.03.032
Martens, M. P., & Haase, R. F. (2006). Advanced applications of structural equation modeling in counseling psychology research. The Counseling Psychologist, 34(6), 878-911. https://doi.org/10.1177/0011000005283395
Miller, D. C., Montie, J. E., & Wei, J. T. (2005). Measuring the quality of care for localized prostate cancer. The Journal of Urology, 174(2), 425-431. https://doi.org/10.1097/01.ju.0000165387.20989.91
Mitchell, P. H., Ferketich, S., & Jennings, B. M. (1998). Quality health outcomes model. American academy of nursing expert panel on quality health care. Image-The Journal of Nursing Scholarship, 30(1), 43-46. https://doi.org/10.1111/j.1547-5069.1998.tb01234.x
Mohamed, B., & Azizan, N. A. (2015). Perceived service quality’s effect on patient satisfaction and behavioural compliance. International Journal of Health Care Quality Assurance, 28(3), 300-314. https://doi.org/10.1108/IJHCQA-06-2014-0074
Montori, V. M., Gafni, A., & Charles, C. (2006). A shared treatment decision-making approach between patients with chronic conditions and their clinicians: the case of diabetes. Health Expectations, 9(1), 25-36. https://doi.org/10.1111/j.1369-7625.2006.00359.x
Moore, L., Lavoie, A., Bourgeois, G., & Lapointe, J. (2015). Donabedian’s structure-process-outcome quality of care model: validation in an integrated trauma system. Journal of Trauma and Acute Care Surgery, 78(6), 1168-1175. https://doi.org/10.1097/TA.0000000000000663
Murgic, L., Hébert, P. C., Sovic, S., & Pavlekovic, G. (2015). Paternalism and autonomy: views of patients and providers in a transitional (post-communist) country. BMC Medical Ethics, 16(1), 1-9. https://doi.org/10.1186/s12910-015-0059-z
Namboodiri, N. K., Carter, L. F., & Blalock, H. M. (1975). Applied multivariate analysis and experimental designs. New York: McGraw-Hill.
Ngoh, L. N. (2009). Health literacy: a barrier to pharmacist-patient communication and medication adherence. Journal of the American Pharmacists Association, 49(5), e132-e149. https://doi.org/10.1331/JAPhA.2009.07075
Nielsen, R. Ø., Bertelsen, M. L., Ramskov, D., Damsted, C., Brund, R. K., Parner, E. T., Sørensen, H., Rasmussen, S., & Kjærgaard, S. (2019). The Garmin-RUNSAFE Running Health Study on the aetiology of running-related injuries: rationale and design of an 18-month prospective cohort study including runners worldwide. BMJ Open, 9(9), e032627. https://doi.org/10.1136/bmjopen-2019-032627
O’Keeffe, M., Cullinane, P., Hurley, J., Leahy, I., Bunzli, S., O’Sullivan, P. B., & O’Sullivan, K. (2016). What influences patient-therapist interactions in musculoskeletal physical therapy? Qualitative Systematic Review and Meta-Synthesis. Physical Therapy, 96(5), 609-622. https://doi.org/10.2522/ptj.20150240
Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703. https://doi.org/10.1016/j.ijinfomgt.2014.06.004
Palmer, A. D., Newsom, J. T., & Rook, K. S. (2016). How does difficulty communicating affect the social relationships of older adults? An exploration using data from a national survey. Journal of Communication Disorders, 62, 131-146. https://doi.org/10.1016/j.jcomdis.2016.06.002
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50. https://doi.org/10.2307/1251430
Patel, V. L., Kaufman, D. R., & Arocha, J. F. (2002). Emerging paradigms of cognition in medical decision-making. Journal of biomedical informatics, 35(1), 52-75. https://doi.org/10.1016/s1532-0464(02)00009-6
Sahu, A. K., Padhy, R. K., & Dhir, A. (2020). Envisioning the future of behavioral decision-making: a systematic literature review of behavioral reasoning theory. Australasian Marketing Journal, 28(4), 145-159. https://doi.org/10.1016/j.ausmj.2020.05.001
Saigal, R., Clark, A. J., Scheer, J. K., Smith, J. S., Bess, S., Mummaneni, P. V., . . . Ames, C. P. (2015). Adult spinal deformity patients recall fewer than 50% of the risks discussed in the informed consent process preoperatively and the recall rate worsens significantly in the postoperative period. Spine, 40(14), 1079-1085. https://doi.org/10.1097/BRS.0000000000000964
Sandman, L., & Munthe, C. (2010). Shared decision making, paternalism and patient choice. Health Care Analysis, 18(1), 60-84. https://doi.org/10.1007/s10728-008-0108-6
Santry, H. P., Strassels, S. A., Ingraham, A. M., Oslock, W. M., Ricci, K. B., Paredes, A. Z., Heh, V. K., Baselice, H. E., Rushing, A. P., Diaz, A., Daniel, V. T., Ayturk, M. D., & Kiefe, C. I. (2020). Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach. BMC Medical Research Methodology, 20(1), 1-19. https://doi.org/10.1186/s12874-020-01096-7
Schumacker, E., & Lomax, G. (2016). A beginner’s guide to structural equation modeling (4th ed ed.). New York, NY: Routledge.
Simpson, S. H., Eurich, D. T., Majumdar, S. R., Padwal, R. S., Tsuyuki, R. T., Varney, J., & Johnson, J. A. (2006). A meta-analysis of the association between adherence to drug therapy and mortality. BMJ, 333(7557), 15. https://doi.org/10.1136/bmj.38875.675486.55
Singh, K., Junnarkar, M., & Kaur, J. (2016). Measures of positive psychology, development and validation. Berlin: Springer. https://doi.org/10.1007/978-81-322-3631-3
Smith, M. J., Gill, P. G., Wetzig, N., Sourjina, T., Gebski, V., Ung, O., Campbell, I., Kollias, J., Coskinas, X., Macphee, A., Young, L., Simes, R. J., Stockler, M. R. (2009). Comparing patients’ and clinicians’ assessment of outcomes in a randomised trial of sentinel node biopsy for breast cancer (the RACS SNAC trial). Breast Cancer Research and Treatment, 117(1), 99-109. https://doi.org/10.1007/s10549-008-0202-3
Stacey, D., Légaré, F., Lewis, K., Barry, M. J., Bennett, C. L., Eden, K. B., Holmes-Rovner, M., Llewellyn-Thomas, H., Lyddiatt, A., Thomson, R., & Trevena, L. (2017). Decision aids for people facing health treatment or screening decisions. The Cochrane Database of Systematic Reviews, 4(4), CD001431. https://doi.org/10.1002/14651858.CD001431.pub5
Stiggelbout, A. M., Pieterse, A. H., & De Haes, J. C. (2015). Shared decision making: concepts, evidence, and practice. Patient Education and Counseling, 98(10), 1172-1179. https://doi.org/10.1016/j.pec.2015.06.022
Swenson, S. L., Buell, S., Zettler, P., White, M., Ruston, D. C., & Lo, B. (2004). Patient-centered communication. Journal of General Internal Medicine, 19(11), 1069-1079. https://doi.org/10.1111/j.1525-1497.2004.30384.x
Szasz, T. S., & Hollender, M. H. (1956). A contribution to the philosophy of medicine: the basic models of the doctor-patient relationship. AMA Archives of Internal Medicine, 97(5), 585-592. https://doi.org/10.1001/archinte.1956.00250230079008
Ting, H. H., Brito, J. P., & Montori, V. M. (2014). Shared decision making. Circulation: Cardiovascular Quality and Outcomes, 7(2), 323-327. https://doi.org/10.1161/CIRCOUTCOMES.113.000288
Unruh, L., & Wan, T. T. (2004). A systems framework for evaluating nursing care quality in nursing homes. Journal of Medical Systems, 28(2), 197-214. https://doi.org/10.1023/B:JOMS.0000023302.80118.74
van Osch, M., Sep, M., van Vliet, L. M., van Dulmen, S., & Bensing, J. M. (2014). Reducing patients’ anxiety and uncertainty, and improving recall in bad news consultations. Health Psychology, 33(11), 1382. https://doi.org/10.1037/hea0000097
van Osch, M., van Dulmen, S., van Vliet, L., & Bensing, J. (2017). Specifying the effects of physician’s communication on patients’ outcomes: A randomised controlled trial. Patient Education and Counseling, 100(8), 1482-1489. https://doi.org/10.1016/j.pec.2017.03.009
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Wang, Y. A., & Rhemtulla M. (2021). Power analysis for parameter estimation in structural equation modeling: a discussion and tutorial. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920918253. https://doi.org/10.1177/2515245920918253
Weston, R., & Gore, J. P. (2006). A brief guide to structural equation modeling. Counseling Psychologist, 34(5), 719-751. https://doi.org/10.1177/0011000006286345
Wu, I. L., & Hsieh, P. J. (2015). Hospital innovation and its impact on customer-perceived quality of care: a process-based evaluation approach. Total Quality Management and Business Excellence, 26(1-2), 46-61. https://doi.org/10.1080/14783363.2013.799332
Yarbrough, A. K., & Smith, T. B. (2007). Technology acceptance among physicians: a new take on TAM. Medical Care Research and Review, 64(6), 650-672. https://doi.org/10.1177/1077558707305942
Zandbelt, L. C., Smets, E. M., Oort, F. J., Godfried, M. H., & de Haes, H. C. (2006). Determinants of physicians’ patient-centred behaviour in the medical specialist encounter. Social Science and Medicine, 63(4), 899-910. https://doi.org/10.1016/j.socscimed.2006.01.024
Zeng, Y., Zhang, L., Yao, G., & Fang, Y. (2018). Analysis of current situation and influencing factor of medical disputes among different levels of medical institutions based on the game theory in Xiamen of China: A cross-sectional survey. Medicine, 97(38), e12501. https://doi.org/10.1097/MD.0000000000012501
指導教授 張東生(Dong-Shang Chang) 審核日期 2022-6-27
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明