Incremental cost and health gains of the 2016 WHO antenatal care recommendations for Rwanda: results from expert elicitation

Impact of ultrasound scanning on pregnant Women's compliance with attendance at antenatal care visits and supervised delivery at primary healthcare centres in northern Nigeria: Initial experiences

INTRODUCTION

The world health organisation (WHO) recommends at least one ultrasound scan amidst eight antenatal care visits, however, most pregnant women in low and middle-income countries do not achieve this. This study aims to assess the impact of limited obstetrics ultrasound (LOUS) within primary healthcare centres in northern Nigeria.

METHODS

A cross sectional study was conducted across selected primary healthcare centres in Bauchi and Kano States (northern Nigeria). The study protocol was approved by the Ministry of Health in each State. Within each State a total of nine primary healthcare centres were randomly selected. Information on all complete antenatal care (ANC) records of women who used the primary healthcare facility for 12 months prior to introduction of ultrasound (January 2016 to December 2016) and 12 months after (January 2018 to December 2018) were collected. Study data were analysed using descriptive (mean, standard deviations) and inferential statistics. Independent sample t-test were used to find out if there was a statistical difference between the pre and post-intervention data on women compliance to ANC visits, facility based delivery, maternal and child mortality. Data were analysed using the Statistical Package for Social Sciences and significance was set at p ≤ 0.05.

RESULTS

There was a significant increase in the number of ANC visits and supervised facility delivery after introduction of ultrasound services (LOUS) in the primary healthcare centres. The number of ANC visits in Kano State was 2637.6 ± 972.0 before and 3793.0 ± 517.5 after the introduction of ultrasound services. The number of ANC visits in Bauchi State was 1866.6 ± 488.3 before and 2854.0 ± 631.3 after the introduction of ultrasound services. The number of supervised facility deliveries in Kano state was 520.1 ± 128.7 before and 1021.1 ± 217.0 after the introduction of LOUS. The number of supervised facility deliveries for Bauchi state was 553.1 ± 309.9 before and 1056.3 ± 295.4 after introduction of LOUS. A total of 2486 (11.0%) women were referred for further imaging due to equivocal ultrasound findings. A total of 2185 (9.7%) pregnant women were referred for appropriate care due to multiple gestations.

CONCLUSION

This study found that LOUS, in resource scarce settings, has the potential of improving ANC visits, facility delivery rates and reduce maternal and child mortality. It also leads to change in patient management plans resulting in referrals for appropriate care.

IMPLICATION FOR PRACTICE

Technological interventions using ultrasound have the potential to motivate pregnant women to attend ANC, give birth in a healthcare facility and thus reduce maternal and child morbidity and mortality. This is in line with the global drive to reduce maternal and child death by 2030 to less than 70 maternal deaths in 100,000 live births and neonatal mortality reduction to 12 in 1000 live births and under 5 mortality reduction to 25 in 1000 live births.

Implementing standard antenatal care interventions: health system cost at primary health facilities in Tanzania

Background

Since 2002, Tanzania has been implementing the focused Antenatal Care (ANC) model that recommended four antenatal care visits. In 2016, the World Health Organization (WHO) reintroduced the standard ANC model with more interventions including a minimum of eight contacts. However, cost-implications of these changes to the health system are unknown, particularly in countries like Tanzania, that failed to optimally implement the simpler focused ANC model. We compared the health system cost of providing ANC under the focused and the standard models at primary health facilities in Tanzania.

Methods

We used a micro-costing approach to identify and quantify resources used to implement the focused ANC model at six primary health facilities in Tanzania from July 2018 to June 2019. We also used the standard ANC implementation manual to identify and quantify additional resources required. We used basic salary and allowances to value personnel time while the Medical Store Department price catalogue and local market prices were used for other resources. Costs were collected in Tanzanian shillings and converted to 2018 US$.

Results

The health system cost of providing ANC services at six facilities (2 health centres and 4 dispensaries) was US$185,282 under the focused model. We estimated that the cost would increase by about 90% at health centres and 97% at dispensaries to US$358,290 by introducing the standard model. Personnel cost accounted for more than one third of the total cost, and more than two additional nurses are required per facility for the standard model. The costs per pregnancy increased from about US$33 to US$63 at health centres and from about US$37 to US$72 at dispensaries.

Conclusion

Introduction of a standard ANC model at primary health facilities in Tanzania may double resources requirement compared to current practice. Resources availability has been one of the challenges to effective implementation of the current focused ANC model. More research is required, to consider whether the additional costs are reasonable compared to the additional value for maternal and child health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12962-021-00325-0.

Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study

Background

Identification of the essential components of the quality of the data collection process is the starting point for designing effective data quality management strategies for public health information systems. An inductive analysis of the global literature on the quality of the public health data collection process has led to the formation of a preliminary 4D component framework, that is, data collection management, data collection personnel, data collection system, and data collection environment. It is necessary to empirically validate the framework for its use in future research and practice.

Objective

This study aims to obtain empirical evidence to confirm the components of the framework and, if needed, to further develop this framework.

Methods

Expert elicitation was used to evaluate the preliminary framework in the context of the Chinese National HIV/AIDS Comprehensive Response Information Management System. The research processes included the development of an interview guide and data collection form, data collection, and analysis. A total of 3 public health administrators, 15 public health workers, and 10 health care practitioners participated in the elicitation session. A framework qualitative data analysis approach and a quantitative comparative analysis were followed to elicit themes from the interview transcripts and to map them to the elements of the preliminary 4D framework.

Results

A total of 302 codes were extracted from interview transcripts. After iterative and recursive comparison, classification, and mapping, 46 new indicators emerged; 24.8% (37/149) of the original indicators were deleted because of a lack of evidence support and another 28.2% (42/149) were merged. The validated 4D component framework consists of 116 indicators (82 facilitators and 34 barriers). The first component, data collection management, includes data collection protocols and quality assurance. It was measured by 41 indicators, decreased from the original 49% (73/149) to 35.3% (41/116). The second component, data collection environment, was measured by 37 indicators, increased from the original 13.4% (20/149) to 31.9% (37/116). It comprised leadership, training, funding, organizational policy, high-level management support, and collaboration among parallel organizations. The third component, data collection personnel, includes the perception of data collection, skills and competence, communication, and staffing patterns. There was no change in the proportion for data collection personnel (19.5% vs 19.0%), although the number of its indicators was reduced from 29 to 22. The fourth component, the data collection system, was measured using 16 indicators, with a slight decrease in percentage points from 18.1% (27/149) to 13.8% (16/116). It comprised functions, system integration, technical support, and data collection devices.

Conclusions

This expert elicitation study validated and improved the 4D framework. The framework can be useful in developing a questionnaire survey instrument for measuring the quality of the public health data collection process after validation of psychometric properties and item reduction.