Content of antenatal care and perception about services provided by primary hospitals in Nepal: a convergent mixed methods study

Magnitude, disparity, and predictors of poor-quality antenatal care service: A systematic review and meta-analysis

Background

Antenatal care is directed toward ensuring healthy pregnancy outcomes. Quality antenatal care increases the likelihood of receiving an effective intervention to maintain maternal, fetal, and neonatal well-being, while poor quality is linked to poor pregnancy outcomes. However, owing to the complex nature of quality, researchers have followed several approaches to systematically measure it. The evidence from these variable approaches appears inconsistence and poses challenges to programmers and policymakers. Hence, it is imperative to obtain a pooled estimate of the quality of antenatal care. Therefore, considering the scarcity of evidence on the quality of antenatal care, this study aimed to review, synthesize, and bring pooled estimates of accessible evidence.

Objective

This study aimed to estimate the pooled magnitude and predictors of quality of antenatal care services and compare regional disparity.

Method

We conducted a comprehensive systematic three-step approach search of published and unpublished sources from 2002 to 2022. The methodological quality of eligible studies was checked using Joanna Briggs Institute critical appraisal tool for cross-sectional studies. Meta-analysis was carried out using STATA version 16. Statistical heterogeneity was assessed using Cochran's Q test. In the presence of moderate heterogeneity (I2 more than 50%), sensitivity and subgroup analyses were conducted and presented in a forest plot. Effect size was reported using standardized mean difference and its 95% confidence interval. Funnel plots and Egger's regression test were used to measure publication bias at the 5% significance level. A trim-and-fill analysis was conducted to adjust for publication bias. Pooled estimates were computed using random-effects models and weighted using the inverse variance method in the presence of high heterogeneity among studies. A 95% CI and 5% significance level were considered to declare significance variables.

Results

The global pooled poor-quality antenatal care was 64.28% (95% CI: 59.58%-68.98%) (I2 = 99.97%, p = 0.001). The identified pooled predictors of good-quality antenatal care service were: number of antenatal care visits (fourth and above antenatal care visit) (Adjusted odds ratio (AOR) = 2.6, 95% CI: 1.37-3.84), family wealth index (AOR = 2.72, 95% CI: 1.89-3.55), maternal education attainment (AOR = 3.03, 95% CI: 2.24-3.82), residence (urban dwellers) (AOR = 4.06, 95% CI: 0.95-7.17), and confidentiality antenatal care (AOR = 2.23, 95% CI: -0.36 to -4.82).

Conclusions

The study found regional and country-level disparities in the quality of antenatal care services for pregnant women, where poor-quality antenatal care services were provided for more than two-thirds to three-fourths of antenatal care attendants. Therefore, policymakers and health planners should put a great deal of emphasis on addressing the quality of antenatal care services.

Factors affecting antenatal screening for HIV in Nepal: results from Nepal Demographic and Health Surveys 2016 and 2022

OBJECTIVES

Antenatal screening for HIV remains low in Nepal. Identifying factors associated with the uptake of antenatal screening is essential to increase uptake and prevent mother-to-child transmission (MTCT). This study investigated the effects of individual-level and district-level characteristics on the utilisation of antenatal screening for HIV in Nepal and how these effects changed between 2016 and 2022.

DESIGN

We used publicly available cross-sectional data from 2016 to 2022 Nepal Demographic and Health Surveys.

SETTING

Stratified, multistage, random sampling was used to collect nationally representative data.

PARTICIPANTS

1978 and 2007 women aged 15-49 years who gave birth in the 2 years preceding the surveys.

PRIMARY AND SECONDARY OUTCOME MEASURES

We used multilevel models to estimate associations between antenatal screening and potential factors influencing it in 2016 and 2022. We used districts as a random effect and looked at the intraclass correlation coefficients to disentangle the geographical effects. To distinguish barriers to HIV screening from barriers to accessing antenatal care (ANC) services, we performed similar analyses with whether the woman attended at least one ANC visit as the dependent variable.

RESULTS

Factors associated with antenatal screening have not changed significantly between 2016 and 2022. Higher uptake of HIV screening was found among women with higher education, the pregnancy being desired later and women who had four or more ANC visits. Being from a poorer family and having low knowledge of MTCT and the medicines to prevent transmission were associated with lower uptake. From the supply side, no factors had a significant effect on antenatal screening. Factors associated with antenatal screening and those associated with any ANC were different. Our results also showed a partial importance of geographical factors on screening uptake.

CONCLUSIONS

Our results supported that antenatal screening could be improved by enhancing access to information and improving the availability of free screening.

Measuring the quality of antenatal care in a context of high utilisation: evidence from Telangana, India

BACKGROUND

Antenatal care coverage has dramatically increased in many low-and middle-income settings, including in the state of Telangana, India. However, there is increasing evidence of shortfalls in the quality of care women receive during their pregnancies. This study aims to examine dimensions of antenatal care quality in Telangana, India using four primary and secondary data sources.

METHODS

Data from two secondary statewide data sources (National Family Health Survey (NFHS-5), 2019-21; Health Management Information System (HMIS), 2019-20) and two primary data sources (a facility survey in 19 primary health centres and sub-centres in selected districts of Telangana; and observations of 36 antenatal care consultations at these facilities) were descriptively analysed.

RESULTS

NFHS-5 data showed about 73% of women in Telangana received all six assessed antenatal care components during pregnancy. HMIS data showed high coverage of antenatal care visits but differences in levels of screening, with high coverage of haemoglobin tests for anaemia but low coverage of testing for gestational diabetes and syphilis. The facility survey found missing equipment for several key antenatal care services. Antenatal care observations found blood pressure measurement and physical examinations had high coverage and were generally performed correctly. There were substantial deficiencies in symptom checking and communication between the woman and provider. Women were asked if they had any questions in 22% of consultations. Only one woman was asked about her mental health. Counselling of women on at least one of the ten items relating to birth preparedness and on at least one of six danger signs occurred in 58% and 36% of consultations, respectively.

CONCLUSION

Despite high coverage of antenatal care services and some essential maternal and foetal assessments, substantial quality gaps remained, particularly in communication between healthcare providers and pregnant women and in availability of key services. Progress towards achieving high quality in both content and experience of antenatal care requires addressing service gaps and developing better measures to capture and improve women's experiences of care.