Purpose: To determine the attitude of antenatal attendees towards birth preparedness and complication readiness (BPACR) in Southern Nigeria and factors associated with a positive attitude. Materials and Methods: This cross-sectional study was carried out among 405 pregnant women in their third trimester attending antenatal care (ANC) in Benin City. The attitude of the respondents was measured using the composite variable of the 8 items in a Likert scale. Analysis was with SPSS v21. The binary logistic regression model was fitted, and statistically significant association of variables was determined based on the adjusted odds ratio (OR) at 95% confidence interval (CI) and level of statistical significance at P < 0.05. Results: Overall, 368 (90.9%) of the attendees displayed a positive attitude to BPACR. They displayed a more positive attitude towards planning for place to give birth 402 (99.3%) and poorest towards partner's participation in accompanying them to ANC visits 189 (46.7%). The age groups 25–29 (OR = 4.535; 95% CI = 1.581–13.006) and 30–34 (OR = 3.506; 95% CI = 1.257–9.778) and multiparity (OR = 2.564; 95% CI = 1.022–6.433) were predictive of positive attitude towards BPACR. Conclusion: This study found a positive attitude towards BPACR among the majority of the attendees which was poorest in domains relating to partner's participation. Their age and parity were found to be predictive of their positive attitude. ANC services should be made available to provide the appropriate health information. Women should be counselled on the major roles of men in reproductive health to improve their attitude towards male involvement in maternity care.

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Background: Waist-to-height ratio (WHtR) is increasingly being reported as a simple, but accurate measure of cardiometabolic risk (CMR). Therefore, the objective of this study was to determine the CMR using WHtR, and its association with dietary diversity (DD), activity patterns and the nutritional status of workers in tertiary educational institutions in South-western Nigeria. Materials and Methods: This was a descriptive, cross-sectional study carried out among 400 workers in three randomly selected tertiary educational institutions in Osun State, Nigeria. Only apparently healthy people (18 years and above) were recruited for the study. CMR was assessed using WHtR; DD was assessed using 24-h dietary recall with the 14-food groups, physical activity (PA) patterns using the short form of the International Physical Activity Questionnaire and the nutritional status of the respondents using body mass index (BMI), waist-hip ratio (WHR) and neck circumference. Bivariate and multivariate analyses were used to determine the significant predictors of CMR. The level of significance was set at P < 0.05. Results: The mean age of the respondents was 45.8 ± 10.4 years, with a male: female ratio of 1:1.1. The mean WHtR among the respondents was 0.53 ± 0.08, and 63.5% had high CMR. At the bivariate level, there were statistically significant associations between CMR (WHtR) and DD (P = 0.027), PA patterns (P = 0.030) and the various indicators of nutritional status (P < 0.001). After multivariate analysis, DD and PA were no longer significantly associated with CMR (WHtR), whereas BMI (odd ratio [OR] = 1.481; confidence interval [CI] = 1.342–1.635; P < 0.001), neck circumference (OR = 1.214; CI = 0.078–1.366; P = 0.001) and raised WHR (OR = 1.949; CI = 0.107–3.431; P = 0.021) remained significantly associated with CMR (WHtR). Conclusion: The present study found a high prevalence of CMR using WHtR and also found a significant association with BMI, neck circumference and WHR. There is a need for the early screening for CMR using WHtR, and cardiometabolic health education of workers in tertiary educational institutions in Osun state.

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Background: District Health Information System (DHIS) is a web-based electronic data capturing platform built on a framework of Health Management Information System (HMIS). In 2014, Nigeria adopted DHIS as the only government-approved electronic reporting platform for all HMIS data. In Katsina State, poor data quality has been identified to be a measure setback despite the robust data quality monitoring tools contained in the DHIS package and this had adversely affected the use of data for informed decision-making. Materials and Methods: Retrospective and prospective studies were conducted on routine immunisation (RI) data uploaded on the DHIS of Katsina State. These studies were carried out to determine the root causes of data quality issues in the state and to conduct field spot checks using predesigned Data Quality and Use Supportive Supervision (DQUSS) checklists. RI data uploaded on the DHIS2 for the period of January 2018 to December 2018 were downloaded and analysed for varying data quality issues. These data served as baseline data for prospective follow-up. The data quality issues were segregated by local government areas (LGAs) for purposive supervision visits. Data quality monitoring tools on the DHIS2 RI dashboard were used for monitoring these data quality issues. The LGAs were monitored overtime for the period of January 2019 to September 2019 through predefined indicators on the DHIS2 RI dashboard. Results: Training gap (odds ratio of 0.85 at 95% confidence interval) was identified to be the modal cause of poor data quality in the study area. A continuum of improved data quality was observed over time post conduct of DQUSS. Conclusion: It was concluded that persistence of RI data quality issues was attributed to inadequate quality supportive supervision in the state.

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Background: Waiting time is a significant feature in defining the quality of care. In a competitive health-care setting, long waiting time of patients in an outpatient department (OPD) badly affects the clients' satisfaction and the Hospitals reputation for patronage. This study sought to determine the patients' waiting time, satisfaction and their relationship in Lafia Nasarawa State. Methodology: This was a cross-sectional study amongst clients accessing care at the OPD of Dalhatu Araf Specialist Hospital, Lafia. Interviewer-administered questionnaire was administered to participants recruited consecutively over 6 weeks' period. De-identifiers were used to maintain privacy and confidentiality of data. The analysis was done using SPSS version 23. Patients waiting time in each unit, the cumulative time spent before accessing care and clients' satisfaction were evaluated. Correlation coefficient was determined. Significant P < 0.05. Results: Of the 783 participants, 61.7% waited for over an hour before seeing a doctor. More than half (50.6%) of these were on follow-up visits. 66.3% and 73.4% were satisfied with the care received at reception and the overall hospital services, respectively. Others were 66.4%, 81.0%, 84.4% and 81.3% satisfaction at the record, nursing, consulting room and pharmacy units, respectively. A third was dissatisfied with the long waiting. Reasons for the long waiting were; large patients turn-out, long folders search/poor record keeping, inadequate personnel and late arrival of doctors. Patients' satisfaction was significantly influenced by the waiting time across all units P < 0.001. Conclusions: Although the waiting period in this study seems long, there is a high level of satisfaction with the health-care services across units with a third of the responders dissatisfied with the long waiting time. Large patients, poor record keeping delaying folders retrieval, inadequate personnel and late arrival of doctors were reasons for the long waiting. Short waiting is associated with satisfaction. An appointment system, electronic record, training and retraining are recommended.

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