The recent Ghana Demographic and Health Survey 2014, estimated that 30 % of currently married women have an unmet need for family planning services, with 17% having an unmet need for spacing and 13% having an unmet need for limiting. The objective of the study was to review the unmet need of family planning in order to make appropriate recommendation to improve family planning use in the Northern Region of Ghana. A conceptual framework which outlines the factors that interplay to determine the use of family planning services in Northern Region of Ghana was designed and used for the study. The data were sought from unpublished documents from the Regional Health Directorate of Northern Ghana, websites of Ghana Health Service, online international publications and University of Leeds Library. The unmet needs of family planning in the region was found to result from a number of factors including inaccessibility to family planning services, non-availability of some type of contraceptive methods in the communities, religious beliefs that contradict the use of family planning, traditional and cultural belief system which promotes high fertility preferences, high illiteracy level, non-approval of family planning by men who are the decision makers, misconception about the use of contraception and high poverty in the region. The identified possible strategies for tackling the factors responsible for unmet need of family planning in the Northern Region, community-based family planning services, family planning health education outreach, peer education and religious-based education were found to be considerably effective, feasible and sustainable.

referrals-deaths on the list) + liver disease mortality in Scotland) Results 1297 patients were identified. Patients from the least deprived areas of Scotland were significantly more likely to be referred for liver transplantation. Pearson Correlation co-efficient 0.987; p=0.002. (See figure 1).Those patients from the most deprived quintile were significantly less likely to be listed compared to the most affluent quintile. (OR=0.653; 95% CI 0.456-0.935; p=0.02). No significant differences were found when comparing the other quintiles to the least deprived group. We did find that those from the more affluent groups did have more severe liver disease by UKELD (ANOVA p=0.003) however there was no difference in those not listed due to being 'too unwell' across the groups (Chi-squared p=0.447). Number of hepatocellular carcinomas (HCC) were not significantly different across the groups (Chi-squared p=0.976)Those not listed due to high risk or recidivism (Chisquared p=0.066) and due to HCC outside criteria (Chisquared p=0.870) were similar across the SIMD groups.There was no difference in waiting times on the transplant list across the SIMD groups (ANOVA p=0.794)We found that in those patients transplanted (n=623) there was no significant difference in survival at two years when compared to the most affluent quintile. For example, when comparing the most deprived quintile (14 deaths at 2 years (26.9%) vs 6 (11.5%); OR=0.600; 95% CI 0.222-1.621; p=0.314). Discussion Those patients from more deprived areas of Scotland are less likely to be referred or listed for liver transplantation compared to most affluent groups. However, these differences don't continue when looking at survival posttransplant.