The Nigerian Civil Registration and Vital Statistics System: Contexts,Institutions, Operation

Civil Registration and Vital Statistics (CRVS) Systems are playing increasing roles in national and global data infrastructure, facilitating the achievement of key developmental goals. The performance of CRVS systems in many developing countries including Nigeria is sub optimal and information on their structure and operations scanty. This paper characterizes the statutory, institutional, and operational elements and social contexts of the Nigerian CRVS System. It includes a context analysis of the system and a review of improvement strategies and interventions. The paper shows that the Nigerian CRVS System is built on viable statutory and institutional platforms—the constitutional enshrinement of: universal, compulsory and continuous civil registration and, a central registration institution—the National Population Commission (NPC). NPC has registration hierarchy and infrastructure deployed at every level of political administration and mechanisms for efficient coordination of registration and production of vital statistics on live-births, deaths and stillbirths amongst other vital events. The major weaknesses of the system include inadequate financing and deployment of registration facilities, conflicting statutes and institutional arrangements for the registration of key events like death and stillbirths. Other weaknesses include intra-organizational conflicts in resource allocation and weak ICT infrastructure within the NPC. These are compounded by overarching contextual issues namely registration unfriendly sociocultural norms, weak national data infrastructure, systemic corruption, poverty and undeveloped civic culture. Domestic initiatives and interventions to improve the system have focused on birth registration, while multilateral interventions have only made a modest impact on the system. Thus, holistic in-country improvement initiatives supported with robust interventions are imperative to overcome weaknesses in the Nigerian CRVS system. However fundamental improvements in CRVS systems in developing countries like Nigeria may likely only follow sustainable solutions to overarching contextual issues especially poor infrastructure, weak institutions, poverty and systemic corruption.     

Data for the Sustainable Development Goals: Metrics for Evaluating Civil Registration and Vital Statistics Systems Data Relevance and Production Capacity,Illustrations with Nigeria

Three issues impinging on the potential use of Civil Registration and Vital Statistics (CRVS) data for the Sustainable Development Goals (SDGs) are analysed in the paper. These include CRVS data relevance, content and data production capacity of CRVS systems. The paper adopts a ‘data type’ approach to relevance and capacity and proposes two metrics based on a graded qualitative evaluation (GQE) methodology. One is a data-relevance metric for evaluating the relevance of CRVS data types to the SDGs. The second is a National Statistical Systems (NSS) data type production capacity metric used for evaluating the data production capacity of CRVS systems. CRVS data instrument analysis and the CRVS data production capacity are exemplified with the Nigerian CRVS system. Relevance assessment results suggest that CRVS systems can provide data relevant to 25% of the SDGs. However the SDG data contribution of CRVS depends on the ‘data type’ capacity of National CRVS systems. As the capacity assessment shows, the Nigerian CRVS system has ‘nominal’ capacity to produce all CRVS data types (fertility, mortality, migration, nuptiality and socio-economic) and ‘active’ and ‘latent’ capacities to provide data for some 21 SDG targets. However, it currently lacks ‘effective’ capacity to produce any of the data types for the SDGs. The paper has implications for goal setting and prioritization in evolving strategies to enhance the development of CRVS/NSS systems’ data capacities, especially in developing countries.     

Programming for Immigrant Women in Canada: Is Entrepreneurship Neglected?

This study examines the demand and supply dynamics of entrepreneurship support services for new immigrant women in the Toronto Census Metropolitan Area (CMA), Ontario, Canada. Empirical evidence presented in this study reveals significant unmet needs for entrepreneurship support services. Major reasons for the inability of settlement agencies to meet the entrepreneurship needs of new immigrants include prioritization of other support services and lack of funding. The study identifies unfamiliarity with the Canadian environment, discrimination, business regulations that are difficult to satisfy, and unlikely tendencies of the immigrants to ask for support as some of the key challenges to entrepreneurship among immigrant women. However, these challenges may be ameliorated with enhanced entrepreneurship and language training, information awareness campaigns and more funding, among other factors. The findings have practical implications for accountable governments and non‐governmental organizations as they design and/or redesign immigration and settlement policies to facilitate integration of new immigrants.     

The Socioeconomic Basis of Farm Enterprise Diversification Decisions1

Abstract In contrast to earlier studies, recent research on socioeconomic and ecological factors affecting farm decision making suggests that, at the microlevel, farm size is inversely related to specialization and directly related to diversification decisions but empirical tests have been limited. Using a social behavioral, farming systems perspective, we examine factors affecting diversification and specialization decisions, including land tenure, off-farm work, and education (which are crucial to successful management) and environmental variation (which affects the decision to select appropriate enterprises). Data from a random sample of Kentucky farmers were used to test the model. Diversification, whether defined according to crops or commodities, is significantly related to farm size, human capital, and regional variation in land and soil types. The study clarifies the relationship between diversification and farm size issues and broadens understanding of farm diversification decisions. The findings indicate that increased farm size and better farm management reduce the rate of increase in farm specialization.     

Long term results and functional outcomes following cardiac surgery in octogenarians

Objective. Cardiac surgery for patients >80 years has seen a dramatic increase in the last decade. The aim was to assess the long term survival and quality of life in this patient population.

Method. Patients who underwent cardiac surgery between 1995 and 2007 were identified and case notes reviewed. Follow-up was undertaken by personal interview with the patient or the nearest kin to complete a pre-planned questionnaire.

Results. Sixty six (M:F; 45:21) octogenarians had Coronary artery bypass grafting (CABG) only (55%), Aortic valve replacement (AVR) only (12%), Mitral valve replacement (MVR) only (3%), Valve and CABG (25%) and complex procedures (5%). Fifty-eight percent were elective procedures. Operative mortality was 8% (n = 5). Multivariate analysis identified complex procedures, prolonged bypass time and re-do/emergency surgery as predictors of death (p < 0.05). Median Intensive care unit (ICU) stay was 206 h (range 43–1176 h), with >70% leaving ICU in 72 h. Late mortality involved five patients (8%) who died at 10 yr; 7 yr; 3 yr; 1 yr; and 8 months; and 2 yr and 7 months, respectively. Survival by Kaplan–Meir was 8.8 yr (Standard Error (SE) = 0.66, Confidence interval (CI) 7.6–10.1), median survival was 10 yr and mean Barthel's index 17.7 (min 0, max 20).

Conclusions. Cardiac surgery can be accomplished in octogenarians with good long-term survival and quality of life. However, complex procedures, prolonged bypass and re-do/emergency surgery contribute significantly to mortality.