Health state utilities of a population of Nigerian hypertensive patients

<p>Abstract</p> <p>Background</p> <p>Establishment of the health impact of hypertension on quality of life of Nigerians is a step towards controlling the disease. The study aimed to provide a Nigerian specific reference list of utility scores of hypertensive patients with various interacting conditions.</p> <p>Findings</p> <p>An interviewer-based, cross-sectional study was conducted using hypertensive patients in two purposively selected tertiary hospitals located in South-Eastern Nigeria. Health Utility Index Mark 3 (HUI3) was used.</p> <p>A total of 384 participants with either hypertension alone or with hypertension-associated complications were interviewed in the two tertiary hospitals.</p> <p>The overall mean utility score was 0.35 +/- 0.42. Patients with hypertension alone had the highest overall mean utility score (0.57 +/- 0.29) while hypertensive patients with stroke had the lowest overall mean score (0.04 +/- 0.36). Being a male, increase in age and mean arterial blood pressure, emergency visit and loss of work due to illness were associated with significant decrease in overall utility scores.</p> <p>Conclusions</p> <p>This study presented a reference for health state utilities of a population of Nigerian hypertensive patients.</p

How Nigeria’s 2015 presidential election outcome was forecasted with geodemographics and public sentiment analytics

In 2015, Nigeria held one of the most fiercely contested presidential elections in the nation’s recent democratic history. The outcome of the election was expected to exert significant influence on democratic practices on the African continent. The stiffness of the contest also meant that it was difficult to predict the likely winner of the election. This paper summarizes how an empirical approach was used to forecast the outcome of the election by modeling public sentiment data-set using a geodemographic framework. Results indicate that the main electorates that determined the outcome of the election were situated in thirteen battleground states. Additionally, results showed that two years before the presidential election, Goodluck Jonathan’s public approval ratings on corruption, insecurity, and the economy (the main drivers of the 2015 election) had nose-dived across many of the battleground states. This eventually contributed toward his loss

Does time of surgery influence the rate of false-negative appendectomies?:A retrospective observational study of 274 patients

Background Multiple disciplines have described an “after-hours effect” relating to worsened mortality and morbidity outside regular working hours. This retrospective observational study aimed to evaluate whether diagnostic accuracy of a common surgical condition worsened after regular hours. Methods Electronic operative records for all non-infant patients (age > 4 years) operated on at a single centre for presumed acute appendicitis were retrospectively reviewed over a 56-month period (06/17/2012–02/01/2017). The primary outcome measure of unknown diagnosis was compared between those performed in regular hours (08:00–17:00) or off hours (17:01–07:59). Pre-clinical biochemistry and pre-morbid status were recorded to determine case heterogeneity between the two groups, along with secondary outcomes of length of stay and complication rate. Results Out of 289 procedures, 274 cases were deemed eligible for inclusion. Of the 133 performed in regular hours, 79% were appendicitis, compared to 74% of the 141 procedures performed off hours. The percentage of patients with an unknown diagnosis was 6% in regular hours compared to 15% off hours (RR 2.48; 95% CI 1.14–5.39). This was accompanied by increased numbers of registrars (residents in training) leading procedures off hours (37% compared to 24% in regular hours). Pre-morbid status, biochemistry, length of stay and post-operative complication rate showed no significant difference. Conclusions This retrospective study suggests that the rate of unknown diagnoses for acute appendicitis increases overnight, potentially reflecting increased numbers of unnecessary procedures being performed off hours due to poorer diagnostic accuracy. Reduced levels of staffing, availability of diagnostic modalities and changes to workforce training may explain this, but further prospective work is required. Potential solutions may include protocolizing the management of common acute surgical conditions and making more use of non-resident on call senior colleagues

Knowledge of self-care among type 2 diabetes patients in two states of Nigeria

Objective: To assess the knowledge of self-care practices, as well as factors responsible for such knowledge among type 2 diabetes patients in two states of Nigeria.Methods: Descriptive, cross sectional survey research design was employed. The study was conducted on type 2 diabetes out-patients attending Endocrinology Clinic at the University of Uyo Teaching Hospital (UUTH) and University of Calabar Teaching Hospital (UCTH) between June 2012 and February 2013. The Diabetes Self-care Knowledge (DSCK-30) was used in evaluating knowledge of self-care practices. Socio-demographic information and respondents’ opinion on the possible barrier(s) to knowledge of self-care were also obtained. Data were analysed using Microsoft Excel and SPSS version 14.0. Statistical significance for all analyses was defined as a p value less than 0.05.Results: A total of 303 out of 380 questionnaires distributed were completed and returned (response rate =79.7%). The majority of the study sample (79.5%) had 70% or more overall knowledge level about self-care. Self-care knowledge was associated with level of education (p<0.001), monthly income (p<0.001) and duration of diabetes (p=0.008). Negative attitude to disease condition was the only factor associated with knowledge (chi-square value at one degree of freedom =6.215; p=0.013).Conclusion: Diabetes self-care knowledge was generally high among the population studied. Educational status, monthly income, duration of diabetes and negative attitude to disease condition predicted knowledge level