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Publication Years
1983
4519
552
32
2
Category
2516
480
382
369
348
116
59
2
Toolboxes
773
534
393
387
337
328
280
213
203
172
166
139
132
121
105
98
87
66
63
51
50
44
28
26
22
2
1
DEPRESSION AND ANXIETY 27 : 390–403 (2010
Accessed April 10, 2019
Front. Med., 27 November 2020 | https://doi.org/10.3389/fmed.2020.594728. The Checklist included eight actions for implementing rural pathways in LMICs: establishing community needs; policies and partners; exploring existing workers and scope; selecting health workers; education and training; workin
...
g conditions for recruitment and retention; accreditation and recognition of workers; professional support/up-skilling and; monitoring and evaluation. For each action, a summary of LMICs-specific evidence and prompts was developed to stimulate reflection and learning. To support implementation, rural pathways exemplars from different WHO regions were also compiled. Field-testing showed the Checklist is fit for purpose to guide holistic planning and benchmarking of rural pathways, irrespective of LMICs, stakeholder, or health worker type.
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Explore best practise in pharmacy, and learn how to start a career as a pharmacist, with these online pharmacy courses from FutureLearn.
This paper introduces a new dataset of official financing—including foreign aid and other forms of concessional and non-concessional state financing—from China to 138 countries between 2000 and 2014. We use these data to investigate whether and to what extent Chinese aid affects economic growth
...
in recipient countries. To account for the endogeneity of aid, we employ an instrumental-variables strategy that relies on exogenous variation in the supply of Chinese aid over time resulting from changes in Chinese steel production. Variation across recipient countries results from a country’s probability of receiving aid. Controlling for year- and recipient-fixed effects that capture the levels of these variables, their interaction provides a powerful and excludable instrument. Our results show that Chinese official development assistance (ODA) boosts economic growth in recipient countries. For the average recipient country, we estimate that one additional Chinese ODA project produces a 0.7 percentage point increase in economic growth two years after the project is committed. We also benchmark the effectiveness of Chinese aid vis-á-vis the World Bank, the United States, and all members of the OECD’s Development Assistance Committee (DAC).
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I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he
...
alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
more
With an estimated population of about 5 million and an annual growth rate of 8 per cent, Dar es Salaam, Tanzania, is Africa’s fastest growing city.1 Over 70 per cent of the people live in informal, unplanned settlements with inadequate infrastructure. In addition, heavy rainfalls twice a year
...
result in signifi cant fl ood risks. The objectives in Dar es Salaam were to 1) obtain high quality and up to date exposure maps of aff ected communities and as a stretch goal 2) to create a hydrological model using elevation data. Both of these would form important elements to managing fl ood risks but neither had been previously available due to a lack of high quality digital imagery
more
Zambia is facing a severe economic crisis marked by high inflation, increasing poverty and a heavy debt burden that is straining both its fiscal stability and progress in health outcomes. By 2020, the country's external debt reached United States dollars (USD) 12.7 billion, representing 108% of the
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country's gross domestic product (GDP). In 2020, Zambia sought assistance through the G20 Common Framework and the International Monetary Fund (IMF) Extended Credit Facility (ECF), securing a USD 1.7 billion loan over 5 years. IMF loans, however, come with austerity measures that prioritise fiscal discipline but could potentially exacerbate social inequalities. These measures, which include increasing consumer taxes on goods and services (value added taxes - VATs), electricity tariffs and fuel prices, disproportionately impact vulnerable populations, raising concerns about their long-term effects on essential services, especially accessible and good quality healthcare services.
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ARC resource pack - Study material
Paying for performance (P4P) provides financial incentives for providers to increase the use and quality of care. P4P can affect health care by providing incentives for providers to put more effort into specific activities, and by increasing the amount of resources available to finance the delivery
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of services. This paper evaluates the impact of P4P on the use and quality of prenatal, institutional delivery, and child preventive care using data produced from a prospective quasi-experimental evaluation nested into the national rollout of P4P in Rwanda. Treatment facilities were enrolled in the P4P scheme in 2006 and comparison facilities were enrolled two years later. The incentive effect is isolated from the resource effect by increasing comparison facilities’ input-based budgets by the average P4P payments to the treatment facilities. The data were collected from 166 facilities and a random sample of 2158 households. P4P had a large and significant positive impact on institutional deliveries and preventive care visits by young children, and improved quality of prenatal care. The authors find no effect on the number of prenatal care visits or on immunization rates. P4P had the greatest effect on those services that had the highest payment rates and needed the lowest provider effort. P4P financial performance incentives can improve both the use of and the quality of health services. Because the analysis isolates the incentive effect from the resource effect in P4P, the results indicate that an equal amount of financial resources without the incentives would not have achieved the same gain in outcomes.
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Rohingya Refugee Response Gender Analysis: Recognizing and responding to gender inequalities
Toma, Iulia; Chowdhury, Mita; Laiju, Mushfika; Gora, Nina; Padamada, Nicola
Oxfam, Action Against Hunger, Save the Children
(2018)
C1
This gender analysis was conducted to understand the different risks and vulnerabilities but also opportunities and skills for Rohingya and host community women, men, boys and girls. Data collection was conducted over three weeks from 8 April to 29 April 2018. The work aimed to identify the differen
...
t needs, concerns, risks and vulnerabilities of women, girls, boys and men in both Rohingya refugee communities and host communities in the Cox’s Bazar district of Bangladesh. The analysis shows various gaps in the humanitarian response for both communities, especially in terms of accountability, communication with affected communities and disaster preparedness, but also in equitable access to services, in particular for women and girls, and especially for the Rohingya community. The key findings are presented below, along with recommendations for action.
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Social science and behavioural data compilation, DRC Ebola outbreak, June - August 2019
Bardosh, K.; T. Jones and J. Bedford
Social Science in Humanitarian Action: A Communication for Development Platform
(2019)
C1
This rapid compilation of data analyses provides a ‘stock-take’ of social science and behavioural data related to the on-going outbreak of Ebola in North Kivu, South Kivu and Ituri provinces. Based on data gathered and analysed by organisations working in the Ebola response and in the region mor
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e broadly, it explores convergences and divergences between datasets and, when possible, differences by geographic area, demographic group, time period and other relevant variables. Data sources are listed at the end of the document.
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