LOGISTIC REGRESSION ANALYSIS OF FACTORS AFFECTING THERENEWAL OF THE NATIONAL HEALTH INSURANCE POLICY IN THE TAMALE METROPOLIS, NORTHERN REGION, GHANA

Abstract

The likelihood and factors affecting the chance of renewal in the NHIS in Tamale Metropolis was analyzed using binary logistic model. Primary data was used, collected from Dohin - nayili, Kalarig a, Hospital catchment area, Saaka -Saaka , Mohiya-Bihi, Wari 'zehi, Kpaan Vuo, Tuutin-li, Ban -vim, Sagnerigu, Education Ridge, Tishigu and Ward - k, all in the Tamale Metropolis. The objectives of the study include identifying factors that affect the renewal decisions of clients and the extent to which these factors affect the chance of the renewal in the NHIS , following the realisation that the Tamale Metropolitan has record ed less than 40% renewal rate since the inception of the scheme in the Metropolis. Analysis of the Data was done using SAS version (9.2) and SPSS version (19) in windows 2007 environment. The study revealed that Gender (gender), Employment status (employ), perception about the efficiency of drug dispensed under the NHIS (pdrug), how often one falls sick (cdisease) and the perception about attitude of health care workers(pattit), were significant in affecting renewal decisions of clients, resulting in a five predictor logistic model: Predict ed [loge odds of renewal) = - 4 .9756 + 1.1073gend er2 + 0.336employ + O.7956cdisease + 0.7802 pdrug + 0 .6043 pattit]. The prediction equation was subjected to several evaluations and it proved to be more than 78% efficient as shown in the ROC curve and the classification tables .