Determinants Of Conventional Health Services Utilization Among Pastoralists In Afar Region Northeast Ethiopia

Sub-Saharan African countries faced with different economic, social, political,rnorganizational and management problems they are looking for different strategies andrnalternative resources for health service for the last decades. In our country the devastatingrnhealth condition among pastoralists obliged us to have epidemiological evidence basedrninformation with holistic approach for informed decision making.rnThis study was conducted with intention of weighing up and comparing therndeterminants of health services utilization and to develop health service utilization model forrnsettled and mobile Afar pastoralists from August 2004 to March 2005. Differentrnmethodological approaches were used. Two independent case control studies were conductedrnafter a survey. One on 276 mobile sub-community study subjects, of which 136 modernrnhealth utilizers and 140 non-utilizers and another on 262 settled sub-community studyrnsubjects, with 137 utilizers and 125 non-utilizers. These were triangulated with qualitativernanalysis (six steps of grounded theory) finding of five focus group discussions andrnsupplemented with one year health care utilization assessment of outpatient and inpatientrnstatistics of health facilities in Zone One of the Region.rnData were collected with structured questionnaire, which fit the variables in thernmodified Andersen’s behavioural model and analyzed in SPSS V.10, with bivariate andrnmultivariate logistic regression analysis of variables for the suggested model and backwardrnstep modeling of statistically significant factors for construction of the final models.rnThe wide-ranging health facility based study shows distance decay degradation, greatrndiscrepancy of utilization rate between town, settled and mobile pastoralist communityrnkebeles with ratio of 227: 39: 1, very low trained health workers to population ratio (1rnphysician for 110,584 populations).rnvirnIn the survey, mobility pattern was found to be statistically significant majorrndeterminant factor between mobile and settled communities with P value

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