Public and private family planning providers face different incentive structures, which may affect overall quality and ultimately the acceptability of family planning for their intended clients. This analysis seeks to quantify differences in the quality of family planning (FP) services at public and private providers in three representative sub-Saharan African countries (Tanzania, Kenya and Ghana), to assess how these quality differentials impact upon FP clients' satisfaction, and to suggest how quality improvements can improve contraceptive continuation rates.

Policymakers and program planners consider antenatal care (ANC) coverage to be a primary measure of improvements in maternal health. Yet, evidence from multiple countries indicates that ANC coverage has no necessary relationship with the content of services provided. This study examines the relationship between the timing of the first ANC check-up, a potential predictor of the content of services, and the provision of WHO recommended services to women during their pregnancy. The study uses data from a representative household survey of Sindh with a sample comprising of 4,000 women aged 15–49 who had had a live birth in the two years before the survey. The survey obtained information about the elements of care provided during pregnancy, the timing of the first ANC check-up, the number of ANC visits made during the last pregnancy and women’s socio-economic and demographic characteristics. Bivariate analysis was conducted to examine the relationship between the proportion of women who receive six WHO recommended services and the timing of their first ANC check-up. Multivariate analysis was conducted to identify predictors of the number of elements of care provided. While most women in Sindh (87 %) receive an ANC check-up, its timing varies by parity, education and household wealth. The median time to the first ANC check-up was 3 months for women in the richest and 7 months for women in the poorest wealth quintiles. In multivariate analysis, wealth, education, parity and age at marriage were significant predictors of the number of elements of care provided. Women who received an early ANC check-up were much more likely to receive WHO recommended services than other women, independent of a range of socio-economic and demographic variables and independent of the number of ANC visits made during pregnancy. In Sindh, the timing of the first ANC check-up has an independent effect on the content of care provided to pregnant women. While it is extremely important that providers are adequately trained and motivated to provide the WHO recommended standards of care, these findings suggest that motivating women to make an early first ANC check-up may be another mechanism through which the quality of care provided may be improved. Such a focus is most likely to benefit the poorest, least educated and highest parity women. Based on these findings, we recommend that routine data collected at health facilities in Pakistan should include the month of pregnancy at the time of the first ANC check-up.

Demand-side financing projects are now being implemented in many developing countries, yet evidence showing that they reach the poor is scanty.

Digital media are omnipresent in modern life, but the science on the impact of digital media on behavior is still in its infancy. There is an emerging evidence base of how to use digital media for behavior change. Strategies to change behavior implemented using digital technology have included a variety of platforms and program strategies, all of which are potentially more effective with increased frequency, intensity, interactivity, and feedback. It is critical to accelerate the pace of research on digital platforms, including social media, to understand and address its effects on human behavior. The purpose of the current paper is to provide an overview and describe methods in this emerging field, present use cases, describe a future agenda, and raise central questions to be addressed in future digital health research for behavior change. Digital media for behavior change employs three main methods: (1) digital media interventions, (2) formative research using digital media, and (3) digital media used to conduct evaluations. We examine use cases across several content areas including healthy weight management, tobacco control, and vaccination uptake, to describe and illustrate the methods and potential impact of this emerging field of study. In the discussion, we note that digital media interventions need to explore the full range of functionality of digital devices and their near-constant role in personal self-management and day-to-day living to maximize opportunities for behavior change. Future experimental research should rigorously examine the effects of variable levels of engagement with, and frequency and intensity of exposure to, multiple forms of digital media for behavior change.

To identify predictors of HIV testing and condom use in Mozambique.

Background: An aim of this study is to introduce a practitioner-friendly behavior model. Few theories of health behavior explicitly take the effect of social norms on behavior into account. Generally, theories that do take social norms into account assume that the effect of social norms on behavior operates through motivation. We use the Fogg Behavior Model (FBM), a behavior model that is new to public health, to explore whether social norms are associated with modern contraceptive use among Nigerian women, and whether they affect behavior through motivation or through ability. In other words, do social norms that discourage contraception lower women’s motivation to use contraception or do they lower women’s ability to use contraception. Methods: This study uses data from a cross-sectional household survey of Nigerian women, ages 14–24. The survey collected data on socio-economic and demographic characteristics of women, whether they were sexually experienced, and whether they used contraception. Modern contraceptive use was the outcome of interest for the study. The survey also collected data on social norms around premarital sex and contraceptive use. Multivariate logistic regression was used for the analysis. Results: After adjusting for a range of socio-economic and demographic variables, we found that social norms that discourage contraception had a statistically significant negative association with contraceptive use (aOR = 0.90, p < 0.001). The analysis found that the negative association between social norms and contraceptive use remained statistically significant after controlling for motivation but did not remain statistically significant after controlling for ability. Conclusion: These findings suggest that social norms may affect contraceptive use in Nigeria through ability rather than motivation. In terms of programmatic implications, these finding suggest that public health interventions may be able to counter the negative effects of social norms that discourage contraceptive use by increasing women’s ability to practice contraception.