Gender analysis: Making research transformative

Conference Abstracts

Conference Abstracts

Gender analysis: Making research transformative

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GLOBAL HEALTH WRITES CITIZEN JOURNALIST: Jenny YC Lee What does “gender” mean to you? It is different from sex, which refers to the anatomy of an individual’s reproductive system. Gender varies across social context and over time. Nowadays, many researchers around the globe incorporate “gender analysis” to ensure equity in health system research. At the […]

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A call to action

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GLOBAL HEALTH WRITES Citizen Journalist: Ifunanya Ikhile   The Fourth Global Forum on Human Resources for Health held in Dublin, Ireland, brought together key stakeholders in human resources for health from several sectors and countries. During the course of the conference, several health workforce themes were discussed, including: gender equity and women’s economic empowerment, investing […]

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IFGH International Conference 2014 Abstracts, Presentations and Recordings.

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On the 5th and 6th of November the IFGH held the 2014 IFGH International Conference in partnership with Concern around the theme of ‘Partnerships for Health’. The conference was well attended and provoked some interesting thoughts regarding the value of partnerships as well as how to recognise a partnership that is not performing effectively. For […]

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Partnerships for Health Conference-Call for Abstracts

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Remember, Friday, 13th of June is the early deadline for submission of abstracts to the IFGH Partnerships for Health conference! Partnerships have become a cornerstone of the development process but how do they serve to facilitate health related development goals? Is partnership always a viable solution or can some partnerships create more problems than solutions? What […]

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IFGH 2012: Human Resource for Health (HRH) Database Linkage and Harmonisation in Uganda

To determine the geographical and skill mix distribution of qualified health workers in Uganda; identify the current efforts to improve the quality of available information on staff distribution; determine the level of integration of existing data on staff distribution; and identify the successes and challenges of producing high quality information on staff distribution.

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