Hostname: page-component-84b7d79bbc-l82ql Total loading time: 0 Render date: 2024-07-25T07:41:36.374Z Has data issue: false hasContentIssue false

Nurses' Use of Global Information Systems for Provision of Outreach Reproductive Health Services to Internally Displaced Persons

Published online by Cambridge University Press:  17 February 2017

Masood A. Shaikh*
Affiliation:
The United Nations International Childrens Fund (UNICEF) Compound, Baidoa City, Somalia

Abstract

Introduction:

A long and protracted civil war compounded by the occurrence of nature-related disasters have forced thousands of Somalis to take refuge in camps for internally displaced persons (IDPs) to escape violence and seek shelter. Dwellers of these camps have limited accessibility to and affordability of the fractured healthcare facilities located in nearby towns. A free, outreach, mobile, reproductive healthcare delivery system staffed with nurses and using an ambulance guided by a global information systems (GIS) map was established to address the accessibility and affordability issues hindering provision of quality reproductive healthcare to the women in the IDP camps and in the outskirts of Baidoa City, Somalia.

Methods:

All 14 IDP camps in Baidoa City were visited to determine the number of families/huts, and to acquire their global positioning system (GPS) central point locations. Global information systems (GIS) shape files containing major roads, river, and dwellings, and straight-line distances from the base clinic to each IDP camp were computed. The objective of creating and using this specially designed map was to help nurses in determining which camps realistically could be visited on a given day, and how best to access them considering the security situation and the condition of rain-affected areas in the city.

Results:

Use of the GIS map was instrumental in facilitating the delivery of healthcare services to IDPs and ensuring that resources were adequately utilized. Free healthcare services were provided each work day for the month long duration of the project; 3,095 consultations were provided, inclusive of 948 consultations for children under the age of 16 years, and delivery of three babies.

Conclusions:

Creation and use of a simple, need-specific GIS map in this pilot project effectively aided the logistical planning and delivery of mobile, outreach reproductive health services by directing the ambulance and nurses safely to accessible IDP camps in an area marred with long and protracted disasters from both natural and human causes.

Type
Brief Report
Copyright
Copyright © World Association for Disaster and Emergency Medicine 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Kaiser, R, Spiegel, PB, Henderson, AK, Gerber, ML: The application of geographic information systems and global positioning systems in humanitarian emergencies: lessons learned, programme implications and future research. Disasters 2003; 27(2): 127140.CrossRefGoogle ScholarPubMed
2. World Health Organization: Mortality country fact sheet 2006—Somalia. Availbale at http://www.who.int/whosis/mort/profiles/mort_emro_som_somalia.pdf. Accessed 11 February 2008.Google Scholar
3. Central Intelligence Agency: The world factbook 2008. Available at https://www.cia.gov/library/publications/the-world-factbook/geos/so.html. Accessed 11 February 2008.Google Scholar
4. Morrow, BH: Identifying and mapping community vulnerability. Disasters 1999; 23(1): 118.CrossRefGoogle ScholarPubMed
5. Peek-Asa, C, Ramirez, MR, Shoaf, K, Seligson, H, Kraus, JF: GIS mapping of earthquake-related deaths and hospital admissions from the 1994 Northridge, California, earthquake. Ann Epidemiol 2000; 10(1): 513.CrossRefGoogle ScholarPubMed
6. Li, J: A GIS planning model for urban oil spill management. Water Sci Technol 2001; 43(5): 239244.CrossRefGoogle ScholarPubMed
7. Barcellos, C, Sabroza, PC: The place behind the case: Leptospirosis risks and associated environmental conditions in a flood-related outbreak in Rio de Janeiro. Cad Saudi Publica 2001; 17: s59–s67.Google Scholar
8. Liu, R, Liu, N: Flood area and damage estimation in Zhejiang, China. J Environ Manag 2002; 66(1): 18.Google ScholarPubMed
9. Chen, K, Blong, R, Jacobson, C: Towards an integrated approach to natural hazards risk assessment using GIS: With reference to bushfires. Environ Manage 2003; 31(4): 546560.CrossRefGoogle ScholarPubMed
10. Liu, R, Liu, N: Flood area and damage estimation in Zhejiang, China. J Environ Manage 2002; 66(1): 18.Google ScholarPubMed
11. Benini, AA, Conley, CE, Shdeed, R, Spurway, K, Yarmoshuk, M: Integration of different data bodies for humanitarian decision support: An example from mine action. Disasters 2003; 27(4): 288304.Google Scholar
12. Seker, DZ, Kabdasli, S, Rudvan, B: Risk assessment of a dam-break using GIS technology. Water Sci Technol 2003; 48(10): 8995.CrossRefGoogle ScholarPubMed
13. Keramitsoglou, I, Kiranoudis, CT, Sarimveis, H, Sifakis, N: A multidisciplinary decision support system for forest fire crisis management. Environ Manage 2004; 33(2): 212225.CrossRefGoogle ScholarPubMed
14. Mathew, D: Information technology and public health management of disasters—A model for South Asian countries. Prehospital Disast Med 2005; 20(1): 5460.CrossRefGoogle Scholar
15. Waring, S, Zakos-Feliberti, A, Wood, R, Stone, M, Padgett, P, Arafat, R: The utility of geographic information systems (GIS) in rapid epidemiological assessments following weather-related disasters: Methodological issues based on the Tropical Storm Allison Experience. Int J Hyg Environ Health 2005; 208(1–2): 109116.CrossRefGoogle ScholarPubMed
16. Guidry, VT, Margolis, LH: Unequal respiratory health risk: Using GIS to explore hurricane-related flooding of schools in Eastern North Carolina. Environ Res 2005; 98(3): 383389.CrossRefGoogle ScholarPubMed
17. Gupta, PK, Singh, AP: Disaster management for Nandira watershed district Angul (Orissa) India using temporal remote sensing data and GIS. Environ Monit Assess 2005; 104(1–3): 425436.Google Scholar
18. Hardmeyer, K, Spencer, MA: Using risk-based analysis and geographic information systems to assess flooding problems in an urban watershed in Rhode Island. Environ Manage 2007; 39(4): 563574.CrossRefGoogle Scholar
19. VanRooyen, MJ, VanRooyen, JB, Sloan, EP, Ward, E: Mobile medical relief and military assistance in Somalia. Prehospital Disast Med 1995; 10(2): 118120.Google Scholar