The “aid contract” and its compensation scheme: A case study of the performance of the Ugandan health sector

2010 ◽  
Vol 71 (7) ◽  
pp. 1357-1365 ◽  
Author(s):  
Valeria Oliveira Cruz ◽  
Barbara McPake
Keyword(s):  
Health Sector ◽  
Compensation Scheme

scholarly journals Enhancing GDPR compliance through data sensitivity and data hiding tools

2021 ◽  
Vol 27 (7) ◽  
pp. 650-666
Author(s):  
Xabier Larrucea ◽  
Micha Moffie ◽  
Dan Mor
Keyword(s):  
Health Services ◽  
Data Hiding ◽  
Industry 4.0 ◽  
Health Sector ◽  
Healthcare Sector ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Architectural Model ◽  
Data Sensitivity

Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients’ data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing GDPR compliance. These tools are dealing with data sensitivity and data hiding tools A case study illustrates the use of these tools and how they are integrated with the reference architectural model.

Case Study

2019 ◽  
pp. 339-368
Author(s):  
Niamh Darcy ◽  
Sriyanjit Perera ◽  
Grades Stanley ◽  
Susan Rumisha ◽  
Kelvin Assenga ◽  
...  
Keyword(s):  
Community Development ◽  
Health Facility ◽  
Health Sector ◽  
Lessons Learned ◽  
Public Access ◽  
Public And Private ◽  
Positioning Systems ◽  
Health Community ◽  
Integrated Or

In 2009, the Tanzanian Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) counted over 10 different health facility lists managed by donors, government ministries, agencies and implementing partners. These function-specific lists were not integrated or linked. The ministry's Health Sector Strategic Plan included the development of an authoritative source for all health facility information, called the Master Facility List (MFL). During development, the ministry adopted the term Health Facility Registry (HFR), an online tool providing public access to a database about all officially recognized health facilities (public and private). The MFL, which includes the health facility list at any specific point in time can be exported from the HFR. This chapter presents the Tanzanian case study describing the work and lessons learned in building the HFR—focusing on software development, introducing geographic positioning systems and harmonizing MFL data. MoHCDGEC launched the HFR public portal in September 2015.

Technology Acceptance Using COVID-19 Pandemic: Case Study of Health Sector in India

2021 ◽  
pp. 421-441
Author(s):  
Seema Sahai ◽  
Richa Goel ◽  
Mashiur Rahman ◽  
Sachi Nandan Mohanty
Keyword(s):  
Technology Acceptance ◽  
Health Sector

Effectiveness of Official Development Assistance in the Health Sector in Africa: A Case Study of Uganda

2020 ◽  
pp. 0272684X2091804
Author(s):  
Cyriaque Rene Sobtafo Nguefack
Keyword(s):  
Infant Mortality ◽  
Maternal Mortality ◽  
Development Assistance ◽  
Maternal Mortality Ratio ◽  
Health Sector ◽  
Health Indicators ◽  
Mortality Rates ◽  
Official Development Assistance ◽  
Mortality Ratio

This qualitative explanatory case study assessed the influence of Official Development Assistance on selected health development indicators in Uganda between 2005 and 2013 by reviewing development partners’ perceptions. Key health indicators included the following: (a) under 5-year-old mortality rates, (b) infant mortality rates, and (c) maternal mortality ratio. Results indicated slow progress in reducing infant mortality and under-5 mortality rates and almost no progress in the maternal mortality ratio despite the disbursement of a yearly average of nearly $400 million USD in the last 7 years to the health sector in Uganda. Five bottlenecks in the influence of development assistance on health indicators were identified: (a) poor governance and accountability framework in the country, (b) ineffective supply chain of health commodities, (c) negative cultural beliefs, (d) insufficient government funding to health care, and (e) insufficient alignment of development assistance to the National Development Plan and noncompliance with the Paris Declaration on Aid Effectiveness.

scholarly journals Parents’ experience of childhood atopic eczema in the public health sector of Gauteng

Curationis ◽  
2015 ◽  
Vol 38 (1) ◽  
Author(s):  
Kaarina F. Meintjes ◽  
Ann G.W. Nolte
Keyword(s):  
Atopic Eczema ◽  
Social Impact ◽  
Single Case ◽  
Research Question ◽  
Health Sector ◽  
The Public ◽  
Individual Interviews ◽  
Data Saturation ◽  
Field Notes

Background: The World Allergy Organization found that 20% – 30%of the world’s population suffers from an allergic disease. Most allergic patients are seen by non-allergy-trained healthcare workers. The public primary healthcare (PHC) management of childhood atopic eczema (CAE) in the central Gauteng district was the focus of the overall study. The focus of this article is the parents’ experience of CAE and the management thereof. The research question was: What is the experience of parents living with a child with atopic eczema (AE)?Objectives: The overall purpose was to develop validated PHC management guidelines for CAE. One of the objectives was to explore and describe the experiences of parents regarding the AE of their children and the management thereof.Method: An embedded single case study design using a qualitative, explorative, descriptive and contextual strategy was employed. Data was collected through semi-structured individual interviews from a purposively selected sample and field notes. Ten parents were interviewed, after which data saturation occurred. Data were analysed according to Tesch’s steps of descriptive data analysis. Lincoln and Guba’s model was used to ensure trustworthiness.Results: Three main themes were identified. This article focuses on theme one: The physical, emotional and social impact of CAE. Theme two identified the management challenges and theme three indicated recommendations regarding the management of CAE.Conclusion: The facilitation of management of CAE focuses on developing PHC guidelines and addressing management challenges in order to achieve better controlled CAE.

scholarly journals Tracking health sector priority setting processes and outcomes for human resources for health, five-years after political devolution: a county-level case study in Kenya

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Joshua Munywoki ◽  
Nancy Kagwanja ◽  
Jane Chuma ◽  
Jacinta Nzinga ◽  
Edwine Barasa ◽  
...  
Keyword(s):  
Service Delivery ◽  
Human Resources ◽  
Priority Setting ◽  
Human Resources For Health ◽  
Health Sector ◽  
Health Service Delivery ◽  
County Level ◽  
Health Coverage ◽  
Middle Income

Abstract Background Health sector priority setting in Low and Middle-Income Countries (LMICs) entails balancing between a high demand and low supply of scarce resources. Human Resources for Health (HRH) consume the largest allocation of health sector resources in LMICs. Health sector decentralization continues to be promoted for its perceived ability to improve efficiency, relevance and participation in health sector priority setting. Following the 2013 devolution in Kenya, both health service delivery and human resource management were decentralized to county level. Little is known about priority setting practices and outcomes of HRH within decentralized health systems in LMICs. Our study sought to examine if and how the Kenyan devolution has improved health sector priority setting practices and outcomes for HRH. Methods We used a mixed methods case study design to examine health sector priority setting practices and outcomes at county level in Kenya. We used three sources of data. First, we reviewed all relevant national and county level policy and guidelines documents relating to HRH management. We then accessed and reviewed county records of HRH recruitment and distribution between 2013 and 2018. We finally conducted eight key informant interviews with various stakeholder involved in HRH priority setting within our study county. Results We found that HRH numbers in the county increased by almost two-fold since devolution. The county had two forms of HRH recruitment: one led by the County Public Services Board as outlined by policy and guidelines and a parallel, politically-driven recruitment done directly by the County Department of Health. Though there were clear guidelines on HRH recruitment, there were no similar guidelines on allocation and distribution of HRH. Since devolution, the county has preferentially staffed higher level hospitals over primary care facilities. Additionally, there has been local county level innovations to address some HRH management challenges, including recruiting doctors and other highly specialized staff on fixed term contract as opposed to permanent basis; and implementation of local incentives to attract and retain HRH to remote areas within the county. Conclusion Devolution has significantly increased county level decision-space for HRH priority setting in Kenya. However, HRH management and accountability challenges still exist at the county level. There is need for interventions to strengthen county level HRH management capacity and accountability mechanisms beyond additional resources allocation. This will boost the realization of the country’s efforts for promoting service delivery equity as a key goal – both for the devolution and the country’s quest towards Universal Health Coverage (UHC).

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