War on the Wards: The collapse of health care infrastructure resulting from violent conflict

Introduction: While utilizing satellite images to verify reports of hospital damage resulting from armed conflict allows for remote assessment, the use of private satellites to gain access to images prohibits widespread use. The questions this study sought to answer were: Is it possible to replicate the findings of previous reports of hospital damage that used the services of private satellite imagery using open source software, such as Google Earth? What variations exist among the different sites where damage to hospitals is visible, and what gradation is possible? Is this methodology applicable to other examples of armed conflict? Methods: Using the map of bombed Syrian hospitals published and maintained by Physicians for Human Rights, hospitals were selected according to their location and the time period of the attack. These coordinates were entered into Google maps and once the attack was verified, a grade of damage was assigned. This methodology was then applied to reports of similar attacks in Iraq. Results: While much information can be gleaned from open source data such as Google Earth, the level of detail in satellite images is lower and coordinates data is less specific. [Further results pending.] Conclusion: There is room for the use of open source satellite technology to track and grade the damage done to health care infrastructure during armed conflict. [More conclusions pending.

Conflict, health care and professional perseverance: a qualitative study in the West Bank

The past three decades have been a time of considerable global conflict, affecting over 50 countries and causing substantial impacts on civilian health. While many effects are direct results of violence, conflict also impinges on health through indirect means. The restricted mobility of health care staff and patients, targeting of health care workers, and stressful working conditions disrupt the ability of health care workers in conflict zones to function effectively. This paper explores the challenges experienced by health care workers in West Bank, Palestine, as well as their strategies of persistence. Research activities included participant observation and interviews with health care providers, which were then analysed for common themes. Results demonstrated that the Israeli military occupation of the West Bank considerably impacts civilians’ access to both urgent and preventive care. While attempting to deliver care, providers encountered disruptions, harassment and violence, which interrupted care and contributed to job stress. Professional perseverance was evident, but its influence was limited by enduring constraints. This study thus underscores the importance of accountability to international law regarding the rights of civilians to health care in conflict zones. Health professionals may play a particular role in advocating for just and dignified resolutions to conflicts

The effects of household assets inequality and conflict on population health in Sudan

We explored the effects on health of both household asset inequality and political armed conflict in Sudan. Using the 2010 Sudan household survey, we evaluated the role of both household asset distribution (measured by the Gini coefficient) and armed conflict status at the state level. We measured associations with six health-related outcomes: life expectancy, infant mortality, height-for-age (stunting), adequacy of food consumption, teenage birth rates and vaccination coverage for young children. For each of six measures of health in Sudan, outcomes were significantly worse in the states with more unequal asset distribution, with correlation coefficients ranging between -0.56 (stunting) and -0.80 (life expectancy). Conflict status predicted worse outcomes. Wealth redistribution in the more unequal states, as well as a political resolution of conflict, may improve population health

A Two-Stage Cluster Sampling Method Using Gridded Population Data, A GIS, And Google Earthtm Imagery in a Population-Based Mortality Survey in Iraq

Background Mortality estimates can measure and monitor the impacts of conflict on a population, guide humanitarian efforts, and help to better understand the public health impacts of conflict. Vital statistics registration and surveillance systems are rarely functional in conflict settings, posing a challenge of estimating mortality using retrospective population-based surveys. Results We present a two-stage cluster sampling method for application in population-based mortality surveys. The sampling method utilizes gridded population data and a geographic information system (GIS) to select clusters in the first sampling stage and Google Earth TM imagery and sampling grids to select households in the second sampling stage. The sampling method is implemented in a household mortality study in Iraq in 2011. Factors affecting feasibility and methodological quality are described. Conclusion Sampling is a challenge in retrospective population-based mortality studies and alternatives that improve on the conventional approaches are needed. The sampling strategy presented here was designed to generate a representative sample of the Iraqi population while reducing the potential for bias and considering the context specific challenges of the study setting. This sampling strategy, or variations on it, are adaptable and should be considered and tested in other conflict settings

A Two-Stage Cluster Sampling Method Using Gridded Population Data, a GIS, and Google Earth(TM) Imagery in a Population-Based Mortality Survey in Iraq

BACKGROUND: Mortality estimates can measure and monitor the impacts of conflict on a population, guide humanitarian efforts, and help to better understand the public health impacts of conflict. Vital statistics registration and surveillance systems are rarely functional in conflict settings, posing a challenge of estimating mortality using retrospective population-based surveys. RESULTS: We present a two-stage cluster sampling method for application in population-based mortality surveys. The sampling method utilizes gridded population data and a geographic information system (GIS) to select clusters in the first sampling stage and Google Earth TM imagery and sampling grids to select households in the second sampling stage. The sampling method is implemented in a household mortality study in Iraq in 2011. Factors affecting feasibility and methodological quality are described. CONCLUSION: Sampling is a challenge in retrospective population-based mortality studies and alternatives that improve on the conventional approaches are needed. The sampling strategy presented here was designed to generate a representative sample of the Iraqi population while reducing the potential for bias and considering the context specific challenges of the study setting. This sampling strategy, or variations on it, are adaptable and should be considered and tested in other conflict settings

The financial cost of doctors emigrating from sub-Saharan Africa: human capital analysis

Objective To estimate the lost investment of domestically educated doctors migrating from sub-Saharan African countries to Australia, Canada, the United Kingdom, and the United States

Conducting a Large Public Health Data Collection Project in Uganda: Methods, Tools, and Lessons Learned

We report on the implementation experience of carrying out data collection and other activities for a public health evaluation study on whether U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) investment improved utilization of health services and health system strengthening in Uganda. The retrospective study period focused on the PEPFAR scale-up, from mid-2005 through mid-2011, a period of expansion of PEPFAR programing and health services. We visited 315 health care facilities in Uganda in 2011 and 2012 to collect routine health management information system data forms, as well as to conduct interviews with health system leaders. An earlier phase of this research project collected data from all 112 health district headquarters, reported elsewhere. This article describes the lessons learned from collecting data from health care facilities, project management, useful technologies, and mistakes. We used several new technologies to facilitate data collection, including portable document scanners, smartphones, and web-based data collection, along with older but reliable technologies such as car batteries for power, folding tables to create space, and letters of introduction from appropriate authorities to create entrée. Research in limited-resource settings requires an approach that values the skills and talents of local people, institutions and government agencies, and a tolerance for the unexpected. The development of personal relationships was key to the success of the project. We observed that capacity building activities were repaid many fold, especially in data management and technology

Intent to migrate among nursing students in Uganda: Measures of the brain drain in the next generation of health professionals

Background: There is significant concern about the worldwide migration of nursing professionals from low-income countries to rich ones, as nurses are lured to fill the large number of vacancies in upper-income countries. This study explores the views of nursing students in Uganda to assess their views on practice options and their intentions to migrate. Methods: Anonymous questionnaires were distributed to nursing students at the Makerere Nursing School and Aga Khan University Nursing School in Kampala, Uganda, during July 2006, using convenience sampling methods, with 139 participants. Two focus groups were also conducted at one university. Results: Most (70%) of the participants would like to work outside Uganda, and said it was likely that within five years they would be working in the U.S. (59%) or the U.K. (49%). About a fourth (27%) said they could be working in another African country. Only eight percent of all students reported an unlikelihood to migrate within five years of training completion. Survey respondents were more dissatisfied with financial remuneration than with any other factor pushing them towards emigration. Those wanting to work in the settings of urban, private, or U.K./U.S. practices were less likely to express a sense of professional obligation and/or loyalty to country. Those who have lived in rural areas were less likely to report wanting to emigrate. Students with a desire to work in urban areas or private practice were more likely to report an intent to emigrate for financial reasons or in pursuit of country stability, while students wanting to work in rural areas or public practice were less likely to want to emigrate overall. Conclusion: Improving remuneration for nurses is the top priority policy change sought by nursing students in our study. Nursing schools may want to recruit students desiring work in rural areas or public practice to lead to a more stable workforce in Uganda.University of Washington Department of Global Healt