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    The opinions and current status about providing pharmaceutical care to the nursing home in the eastern Taiwan surveyed by questionnaire answered by the administrative officer of the facility

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    研究背景: 護理之家每年一次的督導考核確實已將藥事服務納入評估的標準,但機構對評鑑項目及重點不易掌握。以護理之家之藥事服務相關的文獻也不多,而護理之家的住民依賴藥物的程度又是所有長照機構中最高者,因此藥事服務在未來勢必成為護理之家新興的業務,值得加以探討。 研究目的: 為了瞭解東臺灣(指宜、花、東三縣市)護理之家經營者本身對於藥事服務內涵的意見並探討現況,以期在護理之家中逐步合理地導入適合的藥事照護模式,並探討機構屬性、經營模式、及規模對藥事服務模式、內容、頻率、付費方式的影響。 研究方法: 採用問卷方式調查護理之家經營者有關機構中藥事服務的意見及執行現況,藉此獲得相關資訊,以無母數卡方檢定檢視各依變項與自變項的相關性。 研究結果及討論: 問卷回覆率64.3%(9/14),其中公營的護理之家佔回覆機構的33.33%(3/9),其都一致地認為機構藥師最好採取與醫院合作模式以專任方式任用。在藥事服務頻率方面發現所有公營之護理之家傾向應每週進行一次,由醫療院所附設且經營規模較小(≦50床者)的護理之家則傾向『每月一次』的服務頻率即可,除對服務模式及住民用藥比例的看法與機構屬性相關;藥物治療評估即藥事人員任用模式的看法則與機構經營模式相關之外,其他結果則與機構屬性、經營模式及規模無明顯相關。值得注意的是在此區域之護理之家目前提供藥事服務的頻率的現況調查結果與意見調查結果差異頗鉅。同樣地在現況調查的結果,除費用支付方式與經營模式有關之外,大多數也與機構數性、經營模式、及規模無明顯相關。 結論與建議: 單一機構很少能單獨自聘藥師提供專職藥事服務,應該有健康保險涵蓋各種長期照護的給付,以提昇社區藥局藥師參與的誘因,提昇機構的用藥品質,在服務頻率方面,『每月一次』的要求應可考慮納入評鑑內容。本研究的限制在於此區域之機構數少,故要據此結果推測全臺概況必須相當審慎。Background: Residents of nursing homes rely heavily on medication care, so pharmaceutical care plays an important role in this area of care services. The annual accreditation, which includes pharmaceutical care evaluation, for nursing home has been implemented regularly for a while, but the content and focus of evaluation still needs to be explored. Since relevant articles about pharmaceutical care in nursing home are limited, so it would deserve to be investigated. Objective: This study surveys the administrative officer’s concept and current status of the pharmaceutical care in the nursing homes in the Eastern Taiwan. Another purpose of this study was trying to introduce a suitable model of pharmaceutical service model into the nursing home. The relationships between independent varibles such as the property of the facility, model of management, and scale of the facility (number of bed) and dependent variables such as pharmaceutical service model, items frequencies, and payment system were analyzed. Method: Questionnaires regarding the opinions and current status of pharmaceutical services in the nursing home were sent to all of the nursing homes’s administrative offiers. The returned answers were then analyzed by non-parameter statistics about the relationships between independent variables and dependent variables. Result and Discussion: The overall response rate of the questionnaire in this study is 64.3%(9/14). Within the 9 responses 3 came from public nursing home, as a ratio of 33.33%. All of the administrative officers of the public nursing homes think that the model of pharmaceutical services delivered by the pharmacist assigned by cooperative hospital is the best model. In regard to frequency of providing pharmaceutical services, “once a week” is the pick of choice. The frequency became however to “once monthly” for the nursing home, which is usually affiliated with a hospital, with lesser beds (≦50). There are no significant relationships between the dependent and independent variables except service model and medication rate of the residents to the property of nursing home, and the item of pharmaceutical care and the model of installing pharmacist to the model of management. It deserved to be notified that the difference between opinion and current status about frequency of pharmaceutical services is significant. The same as in the opinion survey, there are no significant relationships between the most dependent and independent variables except payment to the business model. Conclusion and Suggestion: Few nursing homes can afford a full-time pharmacist to deliver pharmaceutical services. There should be health insurances covering long term care in nursing home. This increases the incentive of the community pharmacist to participate in pharmaceutical services and improve the quality of medication in nursing home. Monthly pharmaceutical services may serve as an item of accreditation, and can be considered as the requirement for the nursing home. However, one should be cautious in extrapolating results of this study due to its small sampling size.目錄 Ⅳ 圖目錄 Ⅵ 表目錄 Ⅶ 附錄 97 第一章 緒論 1 前言 1 研究背景 2 研究動機 4 研究目的 7 第二章 文獻探討 8 用藥概況 10 用藥不當 12 藥師與醫師在看法上的差異 14 藥師介入的方法 15 藥事介入的好處 21 品質 21 費用 26 藥師介入的意願 30 藥事管理問題 30 藥事服務介入NH所面臨的問題 32 作業 32 給付 34 藥事服務替代方案 36 第三章 研究方法 37 研究假設 38 研究架構 38 問卷設計 40 問卷效度 42 問卷信度 43 統計分析 45 編碼簿(Code Book) 46 第四章 研究結果與討論 52 第一部份-藥事服務內涵的意見 52 機構的特質及藥事服務的模式 52 藥事服務內容 54 藥事服務的頻率 57 藥事服務的費用支付 57 第二部份-藥事服務現況的調查結果 59 藥事服務的模式 59 藥事服務內容 60 藥事服務的頻率 63 藥事服務的費用支付 64 第五章 結論與建議 64 藥事服務模式的意見 66 藥事服務的內容 68 藥事服務的頻率 70 藥事服務的費用支付 71 研究限制 72 研究建議 72 第六章 參考文獻 93 圖 目 錄 圖一、護理之家提供藥事服務內涵調查的研究架構 39 圖二、護理之家提供藥事服務之現況調查的研究架構 40 表 目 錄 表1、東臺灣護理之家名單 3 表2、第一部份問卷信度評估結果(大題部分) 74 表3-(1)、第一部份問卷信度評估結果(各子題部分) 75 表3-(2)、第一部份問卷信度評估結果(各子題部分) 76 表4、第二部份問卷信度評估結果(大題部分) 77 表5-(1)、第二部份問卷信度評估結果(各子題部分) 78 表5-(2)、第二部份問卷信度評估結果(各子題部分) 79 表6、東臺灣護理之家提供藥事服務內涵意見-機構的特質 80 表7、東臺灣護理之家提供藥事服務內涵意見及現況-用藥概況及藥事服務模式 81 表8-1、東臺灣護理之家藥事服務內涵之意見及現況-藥事服務內容 82 表8-2、東臺灣護理之家藥事服務內涵之意見及現況-藥事服務內容 83 表9、東臺灣護理之家提供藥事服務內涵的意見及現況-藥事服務頻率及費用支付 84 表10、東臺灣護理之家藥事服務內涵意見-服務模式vs.自變項-無母數卡方檢定 85 表11、東臺灣護理之家藥事服務內涵之意見-服務內容vs.自變項-無母數卡方檢定 86 表12、護理之家藥事服務之現況-服務模式、頻率vs.自變項-無母數卡方檢定 87 表13、東臺灣護理之家藥事服務之現況-服務的內容vs.自變項-無母數卡方檢定 88 表14、無母數卡方檢定後與機構屬性相關之變項* 89 表15-1、無母數卡方檢定後與機構經營模式相關之變項* 90 表15-1、無母數卡方檢定後與機構經營模式相關之變項* 91 表16、無母數卡方檢定後與機構規模相關之變項* 9

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    Modeling the effects of environmental and management variables on crop productivity

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    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01The student, Tzu-Shun Lin, accepted the attached license on 2022-11-30 at 15:20.The student, Tzu-Shun Lin, submitted this Dissertation for approval on 2022-11-30 at 15:22.This Dissertation was approved for publication on 2022-12-01 at 07:24.DSpace SAF Submission Ingestion Package generated from Vireo submission #18702 on 2023-04-12 at 11:36:02Crop growth is influenced by changes in environmental conditions and agricultural management practices. Crop growth also influences the atmosphere and in turn, feedback on the planted crop. Understanding climate change and land management and their interactions with crops are of particular interest as they are the key to assessing future food productivity under changing climate. This dissertation aims for the productivity of various crops, including corn (maize), soybean, rice, and bioenergy grasses, and their drivers and feedback processes by developing a data-model integrated framework and applying it at the site, regional and global scales. Chapter 1 of the dissertation introduces the overall objectives and method. Chapter 2 examines the effects of the past and future changes in climate, atmospheric CO2 concentration, irrigation, heat stress, and N on global corn and soybean over the 20th and 21st centuries under two future scenarios at 0.5-degree spatial resolution. To characterize and assess corn and soybean yield, I extend and evaluate crop-specific biophysical processes and feedbacks in a land surface model, the Integrated Science Assessment Model (ISAM), including planting time, heat stress as a function of canopy temperature, seeding rates, and residue management, as well as CO2 and N fertilization, and irrigation feedback effects. With the simulation of heat stress impact by canopy temperature, irrigation reduces soil water stress and cools canopy temperature, which in turn feedbacks the crop growth during the growing season and heat stress impact during the reproductive period. Over the 21st century, the adverse warmer temperature effect on corn and soybean yield is alleviated by other drivers, mainly the increase in atmospheric CO2 concentration and resultant changes in the phenological events due to climate change, particularly planting dates and harvesting times, by 2090s under both scenarios. The results from this part have implications for understanding the potential management adaptation of N fertilizer, planting time, and irrigation on future corn and soybean yield and their interactions with environmental factors, including climate and atmospheric CO2. Chapter 3 extends the framework developed in the first part to assess historical rice yield and production at 0.5-degree spatial resolution. I have implemented a rice growth module in ISAM, which accounts for flooded irrigation, transplanting, multiple seasons, and surface water layer processes. After evaluating the model processes using the site-level observations and global datasets, the model is applied to study the historical environmental and management factors on global rice production. The model results estimated global rice yield from transplanted rice is higher than from direct-seeded rice. Still, the rice production is higher from direct-seeded due to higher cultivated areas. Among the three rice growing seasons, rice harvested in the main growing season one features the longest growing period with favorable climate conditions, resulting in the highest yield and production. The global total production of rice for 2006-2015 is 713 million tons, with South and Southeast Asia by far the largest rice-producing region, and China (24%), India (22%), and Thailand (9%) being the top three producers. The expansion of total rice harvested areas is the major contributor (56%). Other positive effects of environmental and management factors on rice production include N fertilizer and manure (23%), N deposition (2%), and rising atmospheric CO2 concentration (24%). In contrast, climate change reduced production by 5%. Chapter 4 investigates the historical climate trend and extremes and management practices (i.e., seeding rate, N fertilizer, cultivar choice, irrigation, and area expansion) on corn yield and production in the United States at 0.1-degree spatial resolution. I implement a longer growing season cultivar into ISAM by modifying corn phenology using the observation data for a longer growing season cultivar. A longer-growing season corn cultivar indicates the reproductive period has been lengthened by approximately 0.21 days per year and has contributed to 27% of the observed increase in national corn production since 1980. The model simulations capture the corn productivity loss due to extreme climate events. Specifically, the model captures yield responses to heatwaves, droughts, and floods and explains the observed national corn yield and production annual variability by 69% and 82%, respectively. Without considering spatial variations in longer-growing cultivars, the explainable annual variability for corn yield and production are reduced from 69 to 56% and 82 to 64%, respectively. Chapter 5 extends the US scale model of Chapter 4 to assess the bioethanol yield from cultivating corn and bioenergy grasses, including Miscanthus, and two different cultivars of switchgrass, Cave-in-Rock, and Alamo in the Central and Eastern United States. Bioenergy grasses require more water than corn but improve water quality due to controlling nitrogen leaching relative to corn. Growing bioenergy grasses are also less affected by 2012 Midwest extreme droughts and heatwaves events than corn because bioenergy grasses are perennial with deeper and denser roots. Therefore relatively less impacted by water stress because deeper roots can extract the water from deeper moist soils. However, the high-yield region of bioenergy crops in the southern and eastern States of the Midwest are overlapped with the corn cultivated region, implying concerns about competition with food production. Chapter 6 extends the US scale land surface model developed and applied in Chapters 4 and 5 by coupling it with WRF (Weather Research and Forecasting) model. The coupled ISAM-WRF model investigates the feedback between changes in surface energy and water fluxes and atmospheric temperature and precipitations due to crop cultivars in the Midwest United States. I use ISAM-WRF to study the effects of the above-described longer-season cultivars on the surface climate variables including, temperature and precipitation and changes in these climate conditions on corn/soybean yields. Through the land-atmospheric coupling, the long-growing cultivars change the daily mean 2-m temperature between -1.5 and 1oC and precipitation between -10 and 10 mm per day during the growing season at a Bondville, IL, cropland flux site, highlighting the agricultural management on crops can increase productivity and change the seasonal climate. The modeled precipitation, near-surface temperature, and surface energy budgets are well evaluated with observational data and show that the results capture seasonal variability of regional climate, implying the importance of developing crop productivity in numerical weather prediction and climate models to study feedback processes. Chapter 7 provides the overall summary and suggestions for possible future work related to the study in the dissertation
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