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[null,"1.","Record Nr.",null,"UNINA9910465607703321"]
[null,null,"Autore",null,"Haapio Helena"]
[null,null,"Titolo",null,"A short guide to contract risk / / Helena Haapio and George J. Siedel"]
[null,null,"Pubbl/distr/stampa",null,"London : , : Routledge, , 2016"]
[null,null,"ISBN",null,"1-315-26370-X"]
[{"$nulls":4},"1-299-26357-7"]
[{"$nulls":4},"1-4094-4887-8"]
[null,null,"Descrizione fisica",null,"1 online resource (227 p.)"]
[null,null,"Collana",null,"Short guides to risk series"]
[null,null,"Disciplina",null,"346.7302/2"]
[null,null,"Soggetti",null,"Contracts - United States"]
[{"$nulls":4},"Risk management - United States"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"A Gower Book\"--cover."]
[{"$nulls":4},"First published 2013 by Gower Publishing."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover; Contents; List of Figures; List of Tables; About the Authors; Acknowledgments; Foreword; 1 Introduction; Why This Book and This Topic?; Who \"Owns\" Contract Risks?; A Fresh Perspective: A Proactive Approach; How This Book Is Organized; 2 Contracts and Risk-the Big Picture; Why Do Companies Make Contracts?; What Exactly Do We Mean by \"Contract\" and \"Contracting?\"; What Exactly Do We Mean by \"Risk?\"; Contract Risk: Uncertainty Threatening the Achievement of Objectives; Contract Opportunities: Favorable Outcomes, Benefits and Predictability"]
[{"$nulls":4},"The Promotive, Preventive and Balancing Power of ContractsContract Literacy: The Foundation for Identifying and Managing Contract Risk; Summary; 3 Sources of Contract Risk; Language Risks, Contract Wording, and Beyond; Perceptions, Growing Complexity, and Communication Failures; Gaps in the Contracting Process-Lack of Contract Management; Contractual Risk Allocation Leading to the Illusion of Control Where None Exists; Current Contract Practices-Focus on Wrong Issues and Terms; Summary; 4 Risks in Negotiating a Business Contract; Legal Risks in Contract Formation"]
[{"$nulls":4},"Risks Relating to Negotiation Strategy and Contract ImplementationRisks Resulting from Attempting to Create a Legally Perfect Contract; A Decision-Making Tool for Addressing Risk During the Contracting Process; Summary; 5 Risky Terms and Issues in Contracts; Which Contract Terms Deal with Risk?; Most Frequent "]
[{"$nulls":4},"Sources of Claims and Disputes; Active Clauses vs. Passive Clauses-Performance Concerns vs. Legal Concerns; High-risk Issues in Contracts; Clauses that May be Risky-or Offer Protection against Risks; Summary; 6 Contract Risk Recognition and Response: Processes and Tools"]
[{"$nulls":4},"Implementing Contract Risk Management: Neither Expensive nor ComplicatedTowards Systematic Contract Risk Management; The Contract Risk and Opportunity Management Plan; Contract Management: Ownership, Accountability, and Beyond; Managing Risks Jointly: From Risk Allocation to True Risk Management; The Challenge: Engaging People and Communicating Contracts; A Way to Meet the Challenge: Visualization; A New Mindset Enables Better Decisions and Results; The Lean and Visual (IKEA) Approach to Contract Risk Management; Summary; 7 Conclusion; Index"]
[null,null,null,"Sommario/riassunto","Savvy managers use contracts proactively to reach their business goals and minimize their risks. To succeed, these managers need a plan/framework and A Short Guide to Contract Risk provides this. It introduces the notion of contract literacy: a set of skills relevant for all who deal with contracts in their business environment. Arguing that contracts are too important to be left to lawyers alone, this short guide describes lean contracting, visualization and a number of easy-to-use tools that enable managers and lawyers to better understand each others' viewpoints and manage contract risks an"]
[null,"2.","Record Nr.",null,"UNINA9910148734603321"]
[null,null,"Autore",null,"Scheffler Richard M"]
[null,null,"Titolo",null,"Health Labor Market Analyses in Low- and Middle-Income Countries : : An Evidence-Based Approach / / Richard M Scheffler"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : The World Bank, , 2016"]
[null,null,"ISBN",null,"9781464809323"]
[{"$nulls":4},"1464809321"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (286 pages)"]
[null,null,"Collana",null,"Directions in Development;Directions in Development - Human Development"]
[null,null,"Disciplina",null,"331.11091724"]
[null,null,"Soggetti",null,"Labor supply - Developing countries"]
[{"$nulls":4},"Manpower policy - Developing countries"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"Front Cover -- Contents -- Foreword -- Foreword -- Acknowledgments -- About the Contributors -- Abbreviations -- Overview Tools and Data Needs to Guide Evidence-Based Policy Making on Human Resources for Health -- Introduction -- Chapter Summaries -- Conclusion -- References -- Chapter 1 A Labor Market Framework for Human Resources for Health in Low- and Middle-Income Countries -- Introduction -- Forces Affecting HLM -- Health Workers Labor Market and Health and Medical Services Market -- Integrated Framework for the HLM -- Technical Structure and Dynamics of the Impact of the HLM -- Task Shifting in the HLM -- Health Worker Productivity -- Health Worker Performance -- HLM Indicators -- Development of a Future Health Workforce -- Annex 1A: Preliminary List of Data Needed to Analyze the HLM -- Notes -- References -- Chapter 2 Data Requirements for the Economic Analysis of Health Labor Markets -- Introduction -- Data Requirements for HLM Analysis -- Identifying Data Sets for Review -- Results of the Review of Data Sets -- Recommendations for Collecting Health Workforce Data for HLM Analysis -- Conclusions -- Annex 2A: Data Sets Included in This Review -- Annex 2B: International Standard Classification of Occupations: ISCO-08 22 Health Professionals -- Notes -- References -- Chapter 3 Demand-Based and Needs-Based Forecasts for Health Workers -- Introduction -- Needs-Based Forecasts of Health Workers -- Demand-Based Forecasts of Health Workers -- Supply of Health Workers -- Needs-Based and Demand-Based Forecast Comparisons "]
[{"$nulls":4},"and Shortage Calculations -- Conclusions -- Notes -- References -- Chapter 4 Measuring and Analyzing Production Supply -- Introduction -- Institutional Dynamics -- Medical Education Transformation -- Data Needs -- Indicators That Measure Progress -- Financing -- Effective Regulation -- Stakeholders -- Health Professional Schools."]
[{"$nulls":4},"Health Facilities -- Employers -- Conclusions -- Notes -- References -- Chapter 5 Health Worker Labor Supply, Absenteeism, and Job Choice -- Introduction -- 1. Framework for Analysis -- 2. Evidence -- 3. Ways Forward -- Annex 5A: Cross-Country Data Set -- Annex 5B: Equations and Variable Definitions for the Models -- Notes -- References -- Chapter 6 Migration of Health Care Professionals from Sub-Saharan Africa: Issues, Data, and Evidence -- Introduction -- Reasons for Migration -- Data Needed to Analyze Health Care Professional Migrations -- Ways to Measure the Relative Importance of Migration Determinants -- Ways to Measure the Impact of Migration -- Data Availability for Africa -- Determinants of Migration: Ghana as a Case Study -- Impact of Migration -- Conclusions -- References -- Chapter 7 Measuring the Performance of Health Workers -- Introduction -- Performance Is Presence, Quality, and Productivity -- Difficulties Inherent in the Measurement of Performance -- Tools for Measuring Performance -- Indicators -- Annex 7A: Examples of Tools for Measuring Performance -- Notes -- References -- Chapter 8 Analyzing the Determinants of Health Worker Performance -- Indicators for Analyzing the Determinants of Performance -- Ways of Understanding Process Quality Shortfalls -- Ways of Understanding Productivity Shortfalls -- Ways of Analyzing Motivation Shortfalls -- Recommendations -- Notes -- References -- Chapter 9 Measuring and Analyzing Salaries and Incentives -- Health Workers' Actual Income -- Official Income Sources -- Unofficial Incomes of Health Workers and Their Side Effects -- Methods for Measuring Official Income -- Ways of Using Administrative Data from Government Agencies -- Methods for Measuring Unofficial Income -- Direct Health Worker Surveys -- Sensitive Survey Techniques -- Patient Surveys -- Administrative Records."]
[{"$nulls":4},"Direct Observation -- Conclusions -- Notes -- References -- Chapter 10 Survey Techniques to Capture Sensitive Information from Health Workers: An Example of Their Application in Liberia -- Introduction -- Sensitive Survey Techniques -- Item Count Technique -- Aggregated Response (Sum Randomization) -- Application of Sensitive Survey Techniques in Liberia -- Testing Validity of Item Count and Aggregate Response Methods -- Results -- Regular Salary and Benefits -- Sensitive Behaviors: Direct Responses -- Sensitive Behaviors: Item Count and Aggregated Response -- Conclusions and Considerations -- References -- Boxes -- Box 1.1 Vignette 1: Workforce Shortage in Thailand -- Box 1.2 Vignette 2: Unfilled Posts in Kenya -- Box 1.3 Vignette 3: Maternal Health in Malawi -- Box 1.4 Vignette 4: Ghost Workers in Rwanda -- Box 1.5 Vignette 1: Response to Workforce Shortage in Thailand -- Box 1.6 Vignette 2: Response to Unfilled Posts in Kenya -- Box 1.7 Vignette 3: Response to Maternal Health in Malawi -- Box 1.8 Vignette 4: Response to Ghost Workers in Rwanda -- Box 3.1 Calculation of Workforce Supply in Pakistan, 2020 -- Box 4.1 Framework for Changing Regulatory Requirements -- Box 7.1 Two Professionals Evaluating the Same Patient -- Box 7.2 Quality of Care and Patient Outcomes -- Box 9.1 Randomized Response Technique Calculations -- Figures -- Figure 1.1 HLM: An Integrated Framework -- Figure 1.2 Demand and Supply of Nurses -- Figure 1.3 Public and Private Market for Health Workers: One Worker's Hours and Wages -- Figure 1.4 Rural and Urban HLMs -- Figure 1.5 Task Shifting of "]
[{"$nulls":4},"Surgery Technicians -- Figure 1.6 Function of a Health Worker -- Figure 1.7 Health Worker Performance -- Figure 2.1 Conceptual Framework Used to Define the Key Information Collected in the MABEL Survey -- Figure 3.1 World Health Organization Skilled Birth Attendant Benchmark, 2006."]
[{"$nulls":4},"Figure 3.2 Hypothetical Fitted Health System Values as a Function of Health Workers -- Figure 3.3 Hypothetical Health Worker Shortage per 1,000 Population, 2020: The 20 Countries with the Greatest Per Capita Shortage -- Figure 3.4 Illustration of SDG Composite Index Method -- Figure 3.5 Demand and Supply of Nurses -- Figure 3.6 Assessing Shortages and Surpluses of Workers: Conceptual Forecasting Framework -- Figure 6.1 Stock of Immigrant Physicians in OECD Countries as a Percentage of Locally Trained Physicians in Source Region -- Figure 6.2 African Countries with the Highest Rates of Physician Emigration, 1991 and 2004 -- Figure 6.3 Number of Trained African Physicians in Africa and OECD Countries, 1991-2004 -- Figure 6.4 Number of African Physicians Working in Selected OECD Countries, 1991 and 2004 -- Figure 6.5 Estimated Years of Service in Country of Origin before Emigration, by Graduation Cohort -- Figure 6.6 Number of Ghanaian Physicians at Home and Abroad, 1991-2004 -- Figure 6.7 Education Level of Ghanaian Migrant Physicians' Parents -- Figure 6.8 Ghanaian Migrant Doctors' Top Reasons for Migration -- Figure 6.9 Main Links with Ghana for Ghanaian Migrant Doctors -- Figure B7.2.1 Outcomes Categorized by the Average Quality of Care at Location of First Visit, Rural Tanzania, 2003 -- Figure 8.1 Three-Gap Framework -- Figure 8.2 Empirical Evidence of the Know-Do Gap -- Figure 9.1 Common Forms of Individual Incentives and Compensation for Public Sector Health Workers in Low-Income Countries -- Tables -- Table O.1 Sustainable Development Goal 3 -- Table 2A.1 Characteristics of Data Sets -- Table 3.1 Hypothetical Forecasts of Demand-Based and Needs-Based Health Worker Shortages per 1,000 Population: Pakistan -- Table 4.1 Essential Domains of Health Professional Education -- Table 4.2 Cost of Medical Education in Different Countries."]
[{"$nulls":4},"Table 4.3 Proposed Indicators of Health Professional Education Financing and Their Purpose -- Table 4.4 Proposed Indicators of Health Professional Education Regulation and Their Purpose -- Table 4.5 Proposed Indicators of Stakeholder Engagement in Health Professional Education and Their Purpose -- Table 4.6 Proposed Indicators for Clinical Practicums as Part of Health Professional Education and Their Purpose -- Table 4.7 Proposed Indicators of Employers' Engagement in the Health Professional Education System and Their Purpose -- Table 5A.1 Cross-Country Data set -- Table 6.1 Regions of Training of African Physicians Identified in the 2011 AMA Physician Masterfile -- Table 6.2 Top 12 Countries of Emigration Physicians Appearing in the 2011 AMA Physician Masterfile, by Emigration Rate -- Table 6.3 Main Differences between Ghana and Abroad for Ghanaian Migrant Doctors -- Table 7.1 Indicators and Possible Tools to Describe Performance of Health Workers -- Table 7A.1 General Health Management Information Systems -- Table 7A.2 Attendance Check Data Sheet (Example) -- Table 7A.3 Patient Exit Interview (Satisfaction, Example) -- Table 7A.4 Patient Exit Interview (Travel and Expenditure, Example) -- Table 7A.5 Household Survey Questionnaire on Decision Making (Example) -- Table 7A.6 Household Survey Questionnaire, Health-Seeking Experience (Example) -- Table 7A.7 Direct Observation Checklist -- Table 8.1 Vignette to Measure Competence and Capacity -- Table 8.2 Job Satisfaction and Motivation -- Table 9.1 Sample Survey Question to Determine Benefits and Incentives -- Table 10.1 Demographic Characteristics of Liberian "]
[{"$nulls":4},"Health Worker Respondents, 2012 -- Table 10.2 Regular Monthly Compensation and Benefits of Liberian Health Worker Respondents, 2010-12 -- Table 10.3 Results from Direct Responses of Liberian Health Workers."]
[{"$nulls":4},"Table 10.4 Results from Sensitive Survey Responses of Liberian Health Workers."]
[null,null,null,"Sommario/riassunto","This book, produced jointly by the World Bank, the University of California, Berkeley, and the WHO, aims to provide decision-makers at sub-national, national, regional and global levels with additional insights into how to address their workforce challenges rather than describe them. In order to optimize and align HRH investments and develop targeted policy responses, a thorough understanding of unique, country-specific labor market dynamics and determinants of these dynamics is critical. Policies need to take into account the fact that workers are economic actors, responsive to different levels of compensation and opportunities to generate revenue found in different sub-labor markets. Policies need to take into account the behavioral characteristics of the individuals who provide health care, but also the individuals who consume health care services and the institutions that employ health personnel. In other words, it is necessary to understand the determinants of both the supply (numbers of health workers willing to work in the health sector) and the demand for health workers (resources available to hire health workers), how these interact, and how this interaction varies in different contexts. This interaction will determine the availability of health personnel, their distribution as well as their performance levels, thus ensuring stronger health systems capable to deliver universal health coverage. The book is structured to be of use to researchers, planners, and economists who are tasked with analyzing key areas of health labor markets, including overall labor market assessments as well as and more narrow and targeted analyses of demand and supply (including production and migration), performance, and remuneration of health workers. The chapters, written by a number of internationally renowned experts on Human Resources for Health, discuss data sources and empirical tools that can be used to assess health labor markets across high-, middle- or low-income countries, but draws primarily from examples and case-studies in LMICs."]