Geographically linking population and facility surveys: Methodological considerations

Population Health Metrics

Volumn 11, Issue 1, 2013, Pages

  Skiles, Martha Priedeman ^a   Burgert, Clara R ^b   Curtis, Siân L ^a   Spencer, John ^a  

^a UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL   (United States)

^b ICF INTERNATIONAL   (United States)

Author keywords

DHS; Misclassification error; SPA; Spatial linkage

Indexed keywords

DATA SET; DISPLACEMENT; HEALTH SERVICES; HOUSEHOLD SURVEY; POPULATION STRUCTURE; PUBLIC HEALTH;

ARTICLE; CONFIDENTIALITY; GEOGRAPHY; HEALTH CARE FACILITY; HEALTH SERVICE; HEALTH SURVEY; HOUSEHOLD; HUMAN; MEASUREMENT ERROR; POPULATION; PRIORITY JOURNAL; PUBLIC HEALTH; SENSITIVITY ANALYSIS;

EID: 84881161117     PISSN: None     EISSN: 14787954     Source Type: Journal    
DOI: 10.1186/1478-7954-11-14     Document Type: Article

References (44)

1. Yao J, Murray AT, Agadjanian V, Hayford SR. Geographic influences on sexual and reproductive health service utilization in rural Mozambique. Appl Geogr 2012, 32:601-607. 10.1016/j.apgeog.2011.07.009, 3324281, 22505786.
2. Al-Taiar A, Clark A, Longenecker JC, Whitty CJ. Physical accessibility and utilization of health services in Yemen. Int J Health Geogr 2010, 9:38. 10.1186/1476-072X-9-38, 2914054, 20663146.
3. Kyei NNA, Campbell OMR, Gabrysch S. The influence of distance and level of service provision on antenatal care use in rural Zambia. PLOS ONE 2012, 7:e46475. 10.1371/journal.pone.0046475, 3464293, 23056319.
4. Hong R, Montana L, Mishra V. Family planning services quality as a determinant of use of IUD in Egypt. BMC Health Serv Res 2006, 6:79. 10.1186/1472-6963-6-79, 1553443, 16792810.
5. Magnani RJ, Hotchkiss DR, Florence CS, Shafer LA. The impact of the family planning supply environment on contraceptive intentions and use in Morocco. Stud Fam Plann 1999, 30:120-132. 10.1111/j.1728-4465.1999.00120.x, 16617546.
6. Stephenson R, Tsui AO. Contextual influences on reproductive health service use in Uttar Pradesh, India. Stud Fam Plann 2002, 33:309-320. 10.1111/j.1728-4465.2002.00309.x, 12561780.
7. Gage AJ, Guirlene Calixte M. Effects of the physical accessibility of maternal health services on their use in rural Haiti. Popul Stud (Camb) 2006, 60:271-288.
8. Kashima S, Suzuki E, Okayasu T, Jean Louis R, Eboshida A, Subramanian SV. Association between proximity to a health center and early childhood mortality in Madagascar. PLoS One 2012, 7:e38370. 10.1371/journal.pone.0038370, 3366931, 22675551.
9. Gabrysch S, Cousens S, Cox J, Campbell OMR. The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system. PLoS medicine 2011, 8:e1000394. 10.1371/journal.pmed.1000394, 3026699, 21283606.
10. Schoeps A, Gabrysch S, Niamba L, Sie A, Becher H. The effect of distance to health-care facilities on childhood mortality in rural Burkina Faso. Am J Epidemiol 2011, 173:492-498. 10.1093/aje/kwq386, 21262911.
11. Malqvist M, Sohel N, Do TT, Eriksson L, Persson LA. Distance decay in delivery care utilisation associated with neonatal mortality. A case referent study in northern Vietnam. BMC Public Health 2010, 10:762. 10.1186/1471-2458-10-762, 3009650, 21144058.
12. Heard NJ, Larsen U, Hozumi D. Investigating access to reproductive health services using GIS: proximity to services and the use of modern contraceptives in Malawi. Afr J Reprod Health 2004, 8:164-179. 10.2307/3583189, 15623130.
13. Chen SC, Wang JD, Yu JK, Chiang TY, Chan CC, Wang HH, Nyasulu YM, Kolola-Dzimadzi R. Applying the global positioning system and google earth to evaluate the accessibility of birth services for pregnant women in northern Malawi. J Midwifery Womens Health 2011, 56:68-74. 10.1111/j.1542-2011.2010.00005.x, 21323853.
14. Anson O. Utilization of maternal care in rural HeBei Province, the People's Republic of China: individual and structural characteristics. Health Policy 2004, 70:197-206. 10.1016/j.healthpol.2004.03.001, 15364149.
15. Noor AM, Zurovac D, Hay SI, Ochola SA, Snow RW. Defining equity in physical access to clinical services using geographical information systems as part of malaria planning and monitoring in Kenya. Trop Med Int Health 2003, 8:917-926. 10.1046/j.1365-3156.2003.01112.x, 2912492, 14516303.
16. Ketende C, Gupta N, Bessinger R. Facility-level reproductive health interventions and contraceptive use in Uganda. Int Fam Plan Perspect 2003, 29:130-137. 10.2307/3181079, 14519590.
17. Chamla DD, Olu O, Wanyana J, Natseri N, Mukooyo E, Okware S, Alisalad A, George M. Geographical information system and access to HIV testing, treatment and prevention of mother-to-child transmission in conflict affected Northern Uganda. Confl Health 2007, 1:12. 10.1186/1752-1505-1-12, 2228274, 18053189.
18. Entwisle B, Rindfuss RR, Walsh SJ, Evans TP, Curran SR. Geographic information systems, spatial network analysis, and contraceptive choice. Demography 1997, 34:171-187. 10.2307/2061697, 9169275.
19. Chen S, Guilkey DK. The Effect of Facility Characteristics on Choice of Family Planning Facility in Rural Tanzania 2002, Chapel Hill, NC: MEASURE Evaluation, Carolina Population Center, University of North Carolina at Chapel Hill.
20. Gabrysch S, Campbell OMR. Still too far to walk: Literature review of the determinants of delivery service use. BMC Pregnancy Childbirth 2009, 9:34. 10.1186/1471-2393-9-34, 2744662, 19671156.
21. MEASURE DHS http://www.measuredhs.com.
22. MEASURE DHS SPA Methodology http://www.measuredhs.com/What-We-Do/Survey-Types/SPA-Methodology.cfm.
23. MEASURE DHS Methodology - Collecting Geographic Data http://www.measuredhs.com/What-We-Do/GPS-Data-Collection.cfm.
24. Mansour S, Martin D, Wright J. Problems of spatial linkage of a geo-referenced demographic and health survey (DHS) dataset to a population census: a case study of Egypt. Comp, Env and Urb Sys 2012, 36:350-358.
25. National Institute of Statistics of Rwanda, Ministry of Health Rwanda, Macro International Inc Rwanda Interim Demographic and Health Survey 2007-2008 2009, Calverton, MD: Macro International, National Institute of Statistics of Rwanda, Ministry of Health Rwanda, Macro International Inc.
26. National Institute of Statistics of Rwanda, Macro International Inc Rwanda Demographic and Health Survey 2005 2006, Calverton, MD: Macro International, National Institute of Statistics of Rwanda, Macro International Inc.
27. Burgert CR, Zachary B, Way A. Response to " Problems of spatial linkage of a geo-referenced demographic and health survey (DHS) dataset to a population census: a case study of Egypt" Computers, Environment and Urban Systems 2012, 36:626-627.
28. National Institute of Statistics of Rwanda, Ministry of Health Rwanda, Macro International Inc Rwanda Service Provision Assessment Survey 2007 2008, Calverton, MD: Macro International, National Institute of Statistics of Rwanda, Ministry of Health Rwanda, Macro International Inc.
29. Open Street Map, Rwanda Highways 2012, http://downloads.cloudmade.com/africa/eastern_africa/rwanda#downloads_breadcrumbs.
30. Spencer J, Angeles G. Kernel density estimation as a technique for assessing availability of health services in Nicaragua. Health Serv and Outc Res Meth 2007, 7:145-157.
31. Noor AM, Amin AA, Gething PW, Atkinson PM, Hay SI, Snow RW. Modelling distances travelled to government health services in Kenya. Trop Med Int Health 2006, 11:188-196. 10.1111/j.1365-3156.2005.01555.x, 2912494, 16451343.
32. Wang W, Wang S, Pullum T, Ametepi P. How family planning supply and the service environment affect contraceptive use: findings from four East African countries. DHS analytical studies No26 2012, ICF International: Calverton, MD.
33. U S Agency for International Development, World Health Organization Measuring service availability and readiness: a health facility assessment methodology for monitoring health system strengthening. Service Readiness Indicators from Service Availability and Readiness Assessment (SARA) 2012, http://www.who.int/healthinfo/systems/sara_introduction/en/index.html, U S Agency for International Development, World Health Organization.
34. Mertens T. Estimating the effects of misclassification. Lancet 1993, 342:418-421. 10.1016/0140-6736(93)92820-J, 8101908.
35. Davidov O, Faraggi D, Reiser B. Misclassification in logistic regression with discrete covariates. Biom J 2003, 45:541-553.
36. VanWey LK V, Rindfuss RR, Gutmann MP, Entwisle B, Balk DL. Confidentiality and spatially explicit data: concerns and challenges. PNAS 2005, 102:15337-15342. 10.1073/pnas.0507804102, 1266143, 16230608.
37. Mensch B, Arends-Kuenning M, Jain A. The impact of the quality of family planning services on contraceptive use in Peru. Stud Fam Plann 1996, 27:59-75. 10.2307/2138134, 8714304.
38. Chen S, Guilkey DK. Determinants of contraceptive method choice in rural Tanzania between 1991 and 1999. Stud Fam Plann 2003, 34:263-276. 10.1111/j.1728-4465.2003.00263.x, 14758608.
39. Evaluation MEASURE. Sampling manual for facility surveys for population, maternal health, child health and STD programs in developing countries 2001, Chapel Hill, NC: Carolina Population Center, University of North Carolina at Chapel Hill.
40. Wilkinson MI, Njogu W, Abderrahim N. The availability of family planning and maternal and child health services: DHS comparative studies No7 1993, Columbia, MD: Macro International, Inc..
41. Gage AJ. Barriers to the utilization of maternal health care in rural Mali. Soc Sci Med 2007, 65:1666-1682. 10.1016/j.socscimed.2007.06.001, 17643685.
42. Do MP, Koenig MA. Effect of family planning services on modern contraceptive method continuation in Vietnam. J Biosoc Sci 2007, 39:201. 10.1017/S0021932006001453, 16817990.
43. RAND Community-facility surveys: IFLS1 and IFLS2 2010, Available from: http://www.rand.org/labor/FLS/IFLS/cf.html, RAND.
44. Messina JP, Emch M, Muwonga J, Mwandagalirwa K, Edidi SB, Mama N, Okenge A, Meshnick SR. Spatial and socio-behavioral patterns of HIV prevalence in the Democratic Republic of Congo. Soc Sci Med 2010, 71:1428-1435. 10.1016/j.socscimed.2010.07.025, 20739108.