Trends in and Correlates of Short-Acting Contraceptive Stock-Outs: Multicountry Analysis of Performance Monitoring for Action Agile Platform Data.

Understanding trends in contraceptive stock-outs, as well as their structural and demand-side correlates, is critical for policymakers and program managers to identify strategies to further anticipate, reduce, and prevent stock-outs. We analyzed trends as well as supply- and demand-side correlates of short-acting contraceptive method stock-outs by using data from multiple rounds of Performance Monitoring for Action Agile surveys. These data longitudinally measured contraceptive availability over 2 years (between November 2017 and January 2020) across 2,134 public and private service delivery points (SDPs) from urban areas of 5 countries (Burkina Faso, Democratic Republic of the Congo [DRC], India, Kenya, and Nigeria). For each country, we analyzed the trends and used multilevel mixed-effect logistic regression to model the odds of short-acting contraceptive stock-outs, adjusting for key structural and demand-side factors of the SDPs. Stock-outs in short-acting contraceptive methods were common in health facilities and varied markedly, ranging from as low as 2.9% (95% confidence interval [CI]=1.7%, 5.1%) in India to 51.0% (95% CIs=46.8%, 56.0%) in Kenya. During the observation period, stock-out rates decreased by 28% in the SDP samples in India (aOR=0.72, P<.001) and 8% in Nigeria (aOR=0.92, P<.001) but increased by 15% in DRC (aOR=1.15; P=036) and 5% in Kenya (aOR=1.05, P=003) with each round of data collection. Correlates of stock-out rates included the facility managerial authority (private versus public), whether the facility was rated high quality, whether the facility was at an advanced tier, and whether there was high demand for short-acting contraceptives. In conclusion, stock-outs of short-acting contraceptives are still common in many settings. Measuring and monitoring contraceptive stock-outs is crucial for identifying and addressing issues related to the availability and supply of short-acting contraceptives.

Going beyond political ideology: A computational analysis of civic trust in science.

Numerous studies have been conducted to identify the factors that predict trust/distrust in science. However, most of these studies are based on closed-ended survey research, which does not allow researchers to gain a more nuanced understanding of the phenomenon. This study integrated survey analysis conducted within the United States with computational text analysis to reveal factors previously obscured by traditional survey methodologies. Even after controlling for political ideology-which has been the most significant explanatory factor in determining trust in science within a survey framework-we found those with concerns over boundary-crossing (i.e. concerns or perceptions that science overlaps with politics, the government, and funding) were less likely to trust science than their counterparts.

Social media and anti-immigrant prejudice: a multi-method analysis of the role of social media use, threat perceptions, and cognitive ability.

Introduction: The discourse on immigration and immigrants is central to contemporary political and public discussions. Analyzing online conversations about immigrants provides valuable insights into public opinion, complemented by data from questionnaires on how attitudes are formed. Methods: The research includes two studies examining the expressive and informational use of social media. Study 1 conducted a computational text analysis of comments on Singaporean Facebook pages and forums, focusing on how social media is used to discuss immigrants. Study 2 utilized survey data to examine the use of social media at the individual level, testing the relationships between cognitive ability, perceptions of threat, negative emotions towards immigrants, and social media usage within the Integrated Threat Theory framework. Results: Study 1 found that discussions about immigrants on social media often involved negative emotions and concerns about economic impact, such as competition for jobs and crime. Complementing these findings about perceived economic threats, Study 2 showed that individuals with higher social media usage and greater perceptions of threat were more likely to have negative emotions towards immigrants. These relationships were mediated by perceptions of threat and were stronger in individuals with lower cognitive abilities. Discussion: The findings from both studies demonstrate the role of social media in shaping public attitudes towards immigrants, highlighting how perceived threats influence these attitudes. This research suggests the importance of considering how digital platforms contribute to public opinion on immigration, with implications for understanding the dynamics of attitude formation in the digital age.

A nationwide mobile phone survey for tobacco use in Tanzania: Sample quality and representativeness compared to a household survey.

We investigated the feasibility of an interactive voice response (IVR) survey in Tanzania and compared its prevalence estimates for tobacco use to the estimates of the 'Global Adult Tobacco Survey (GATS) 2018'. IVR participants were enrolled by random digit dialing. Quota sampling was employed to achieve the required sample sizes of age-sex strata: sex (male/female) and age (18-29-, 30-44-, 45-59-, and ≥60-year-olds). GATS was a nationally representative survey and used a multistage stratified cluster sampling design. The IVR sample's weights were generated using the inverse proportional weighting (IPW) method with a logit model and the standard age-sex distribution of Tanzania. The IVR and GATS had 2362 and 4555 participants, respectively. Compared to GATS, the unweighted IVR sample had a higher proportion of males (58.7 % vs. 43.2 %), educated people (secondary/above education: 43.3 % vs. 21.1 %), and urban residents (56.5 % vs. 40 %). The weighted prevalence (95 % confidence interval (CI)) of current smoking was 4.99 % (4.11-6.04), 5.22 % (4.36-6.24), and 7.36 % (6.51-8.31) among IVR (IPW), IVR (age-sex standard), and GATS samples, respectively; the weighted prevalence (95 % CI) of smokeless tobacco use was similar: 3.54 % (2.73-4.57), 3.58 % (2.80-4.56), and 2.43 % (1.98-2.98), respectively. Most differences in point estimates for tobacco indicators were small (<2%). Overall, the odds of tobacco smoking indicators were lower in IVR than in GATS; however, the odds of smokeless tobacco use were reversed. Although we found under-/over-estimation of the prevalence of tobacco use in IVR than GATS, the estimates were close. Further research is required to increase the representativeness of IVR.

Understanding coverage of antenatal care in Palestine: Cross-sectional analysis of Palestinian Multiple Indicator Cluster Survey, 2019-2020.

INTRODUCTION: Antenatal care is an essential component of primary healthcare, providing opportunities to screen, prevent, and treat morbidity to preserve the health of mothers and offspring. The World Health Organization now recommends a minimum of eight antenatal care contacts, instead of four, which is challenging in countries exposed to political violence and structural disparities in access to social, economic and healthcare resources as exist in Palestine. This study examines the compliance of the recommend standard of antenatal care in Palestine. METHODS: We analyzed data from the UNICEF's Palestinian Multiple Indicator Cluster Survey (MICS) 2019-2020. The eligible sample consisted of 2,028 women, 15-49 years of age, living in Palestine, on whom data were available on reported antenatal care services received during the most recent pregnancy within the last two years. Outcome variables of interest were the reported frequencies of antenatal care visits, gestational timing of 1st visit, and services received. Potential risk factors were assessed in women attending less than eight versus eight or more antenatal contacts, as recommended by WHO, by estimating prevalence ratios with 95% Confidence Intervals. RESULTS: Overall, 28% of women did not meet the WHO's recommendation of eight or more antenatal contacts, varying from 18% in Central West Bank to 33% in South West Bank across the four areas of Palestine (North, Central, and South West Bank and Gaza Strip). Twelve percent of women reported having had no antenatal contacts in the 1st trimester, and these women were two- to three-folds more unlikely to meet WHO recommendation of antenatal contacts than mothers who initiated the antenatal contact in the 1st trimester. Women who had less than eight antenatal contacts were generally poorer, higher in parity, lived in North and South West Bank, sought ANC from either doctor or nurse/midwife only, and initiated antenatal contact in 2nd-to-3rd trimesters. CONCLUSION: There were considerable socioeconomic and geographic inequalities in the prevalence of not meeting WHO recommended number of antenatal contacts in Palestine, offering the opportunity to inform, improve and continuously reassess coverage of antenatal care.

Perception and deception: Exploring individual responses to deepfakes across different modalities.

This study is one of the first to investigate the relationship between modalities and individuals' tendencies to believe and share different forms of deepfakes (also deep fakes). Using an online survey experiment conducted in the US, participants were randomly assigned to one of three disinformation conditions: video deepfakes, audio deepfakes, and cheap fakes to test the effect of single modality against multimodality and how it affects individuals' perceived claim accuracy and sharing intentions. In addition, the impact of cognitive ability on perceived claim accuracy and sharing intentions between conditions are also examined. The results suggest that individuals are likelier to perceive video deepfakes as more accurate than cheap fakes, but not audio deepfakes. Yet, individuals are more likely to share video deepfakes than cheap and audio deepfakes. We also found that individuals with high cognitive ability are less likely to perceive deepfakes as accurate or share them across formats. The findings emphasize that deepfakes are not monolithic, and associated modalities should be considered when studying user engagement with deepfakes.

Examining the association between social media fatigue, cognitive ability, narcissism and misinformation sharing: cross-national evidence from eight countries.

Several studies have explored the causes and consequences of public engagement with misinformation and, more recently, COVID-19 misinformation. However, there is still a need to understand the mechanisms that cause misinformation propagation on social media. In addition, evidence from non-Western societies remains rare. This study reports on survey evidence from eight countries to examine whether social media fatigue can influence users to believe misinformation, influencing their sharing intentions. Our insights also build on prior cognitive and personality literature by exploring how this mechanism is conditional upon users' cognitive ability and narcissism traits. The results suggest that social media fatigue can influence false beliefs of misinformation which translates into sharing on social media. We also find that those with high levels of cognitive ability are less likely to believe and share misinformation. However, those with low cognitive ability and high levels of narcissism are most likely to share misinformation on social media due to social media fatigue. This study is one of the first to provide cross-national comparative evidence highlighting the adverse effects of social media fatigue on misinformation propagation and establishing that the relationship is not universal but dependent on both cognitive and dark personality traits of individuals.

Exploring Multiple Measures of Pregnancy Preferences and Their Relationship with Postpartum Contraceptive Uptake Using Longitudinal Data from PMA Ethiopia.

There are significant gaps in our understanding of how the experience of an unintended pregnancy affects subsequent contraceptive behavior. Our objective was to explore how three measures of pregnancy preferences-measuring timing-based intentions, emotional orientation, and planning status-were related to the uptake of postpartum family planning within one year after birth. Additionally, we tested whether the relationship between each measure and postpartum family planning uptake differs by parity, a key determinant of fertility preference. Adjusted hazards regression results show that the timing-based measure, specifically having a mistimed pregnancy, and the emotional response measure, specifically being unhappy, were associated with contraceptive uptake in the extended postpartum period, while those related to pregnancy planning, as measured by an adapted London Measure of Unplanned Pregnancy, were not. This effect differed by parity; high parity women were consistently the least likely to use contraception in the postpartum period, but the effect of experiencing an unwanted pregnancy or having a mixed reaction to a pregnancy was significantly stronger among high parity compared to low parity women. Greater attention to the entirety of women's responses to unanticipated pregnancies is needed to fully understand the influence of unintended pregnancy on health behaviors and outcomes for women and their children.

Developing digital tools for health surveys in low- and middle-income countries: Comparing findings of two mobile phone surveys with a nationally representative in-person survey in Bangladesh.

Non-communicable disease (NCD) risk factor data from low- and middle-income countries (LMICs) are inadequate, mostly due to the cost and burden of collecting in-person population-level estimates. High-income countries regularly use phone-based surveys, and with increasing mobile phone subscription in developing countries, mobile phone surveys (MPS) could complement in-person surveys in LMICs. We compared the representativeness and prevalence estimates of two MPS (i.e., interactive voice response (IVR) and computer-assisted telephone interview (CATI)) with a nationally representative household survey in Bangladesh-the STEPwise approach to NCD risk factor surveillance (STEPs) 2018. This cross-sectional study included 18-69-year-old respondents. CATI and IVR recruitments were done by random digit dialing, while STEPs used multistage cluster sampling design. The prevalence of NCD risk factors related to tobacco, alcohol, diet, and hypertension was reported and compared by prevalence differences (PD) and prevalence ratios (PR). We included 2355 (57% males), 1942 (62% males), and 8185 (47% males) respondents in the CATI, IVR, and STEPs, respectively. CATI (28%) and IVR (52%) had a higher proportion of secondary/above-educated people than STEPs (13%). Most prevalence estimates differed by survey mode; however, CATI estimates were closer to STEPs than IVR. For instance, in CATI, IVR, and STEPs, respectively, the prevalence was 21.4%, 17.9%, and 23.5% for current smoking; and 1.6%, 2.2%, and 1.5% for alcohol drinking in past month. Compared to STEPs, the PD ranged from '-56.6% to 0.4%' in CATI and '-41.0% to 8.4%' in IVR; the PR ranged from '0.3 to 1.1' in CATI and '0.3 to 1.6' in IVR. There were some differences and some similarities in NCD indicators produced by MPS and STEPs with differences likely due to differences in socioeconomic characteristics between survey participants.

Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling.

OBJECTIVES: As mobile phone ownership becomes more widespread in low-income and middle-income countries, mobile phone surveys (MPSs) present an opportunity to collect data on health more cost-effectively. However, selectivity and coverage biases in MPS are concerns, and there is limited information about the population-level representativeness of these surveys compared with household surveys. This study aims at comparing the sociodemographic characteristics of the respondents of an MPS on non-communicable disease risk factors to a household survey in Colombia. DESIGN: Cross-sectional study. We used a random digit dialling method to select the samples for calling mobile phone numbers. The survey was conducted using two modalities: computer-assisted telephone interviews (CATIs) and interactive voice response (IVR). The participants were assigned randomly to one of the survey modalities based on a targeted sampling quota stratified by age and sex. The Quality-of-Life Survey (ECV), a nationally representative survey conducted in the same year of the MPS, was used as a reference to compare the sample distributions by sociodemographic characteristics of the MPS data. Univariate and bivariate analyses were performed to evaluate the population representativeness between the ECV and the MPSs. SETTING: The study was conducted in Colombia in 2021. PARTICIPANTS: Population at least 18 years old with a mobile phone. RESULTS: We completed 1926 and 2983 interviews for CATI and IVR, respectively. We found that the MPS data have a similar (within 10% points) age-sex data distribution compared with the ECV dataset for some subpopulations, mainly for young populations, people with none/primary and secondary education levels, and people who live in urban and rural areas. CONCLUSIONS: This study shows that MPS could collect similar data to household surveys in terms of age, sex, high school education level and geographical area for some population categories. Strategies are needed to improve representativeness of the under-represented groups.

Effect of the Data Collection Method on Mobile Phone Survey Participation in Bangladesh and Tanzania: Secondary Analyses of a Randomized Crossover Trial.

BACKGROUND: Mobile phone surveys provide a novel opportunity to collect population-based estimates of public health risk factors; however, nonresponse and low participation challenge the goal of collecting unbiased survey estimates. OBJECTIVE: This study compares the performance of computer-assisted telephone interview (CATI) and interactive voice response (IVR) survey modalities for noncommunicable disease risk factors in Bangladesh and Tanzania. METHODS: This study used secondary data from a randomized crossover trial. Between June 2017 and August 2017, study participants were identified using the random digit dialing method. Mobile phone numbers were randomly allocated to either a CATI or IVR survey. The analysis examined survey completion, contact, response, refusal, and cooperation rates of those who received the CATI and IVR surveys. Differences in survey outcomes between modes were assessed using multilevel, multivariable logistic regression models to adjust for confounding covariates. These analyses were adjusted for clustering effects by mobile network providers. RESULTS: For the CATI surveys, 7044 and 4399 phone numbers were contacted in Bangladesh and Tanzania, respectively, and 60,863 and 51,685 phone numbers, respectively, were contacted for the IVR survey. The total numbers of completed interviews in Bangladesh were 949 for CATI and 1026 for IVR and in Tanzania were 447 for CATI and 801 for IVR. Response rates for CATI were 5.4% (377/7044) in Bangladesh and 8.6% (376/4391) in Tanzania; response rates for IVR were 0.8% (498/60,377) in Bangladesh and 1.1% (586/51,483) in Tanzania. The distribution of the survey population was significantly different from the census distribution. In both countries, IVR respondents were younger, were predominantly male, and had higher education levels than CATI respondents. IVR respondents had a lower response rate than CATI respondents in Bangladesh (adjusted odds ratio [AOR]=0.73, 95% CI 0.54-0.99) and Tanzania (AOR=0.32, 95% CI 0.16-0.60). The cooperation rate was also lower with IVR than with CATI in Bangladesh (AOR=0.12, 95% CI 0.07-0.20) and Tanzania (AOR=0.28, 95% CI 0.14-0.56). Both in Bangladesh (AOR=0.33, 95% CI 0.25-0.43) and Tanzania (AOR=0.09, 95% CI 0.06-0.14), there were fewer completed interviews with IVR than with CATI; however, there were more partial interviews with IVR than with CATI in both countries. CONCLUSIONS: There were lower completion, response, and cooperation rates with IVR than with CATI in both countries. This finding suggests that, to increase representativeness in certain settings, a selective approach may be needed to design and deploy mobile phone surveys to increase population representativeness. Overall, CATI surveys may offer a promising approach for surveying potentially under-represented groups like women, rural residents, and participants with lower levels of education in some countries.

Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: Evidence from eight countries.

Deepfakes are a troubling form of disinformation that has been drawing increasing attention. Yet, there remains a lack of psychological explanations for deepfake sharing behavior and an absence of research knowledge in non-Western contexts where public knowledge of deepfakes is limited. We conduct a cross-national survey study in eight countries to examine the role of fear of missing out (FOMO), deficient self-regulation (DSR), and cognitive ability in deepfake sharing behavior. Results are drawn from a comparative survey in seven South Asian contexts (China, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) and compare these findings to the United States, where discussions about deepfakes have been most relevant. Overall, the results suggest that those who perceive the deepfakes to be accurate are more likely to share them on social media. Furthermore, in all countries, sharing is also driven by the social-psychological trait - FOMO. DSR of social media use was also found to be a critical factor in explaining deepfake sharing. It is also observed that individuals with low cognitive ability are more likely to share deepfakes. However, we also find that the effects of DSR on social media and FOMO are not contingent upon users' cognitive ability. The results of this study contribute to strategies to limit deepfakes propagation on social media.

Unmet need and intention to use as predictors of adoption of contraception in 10 Performance Monitoring for Action geographies.

The determinants of fertility typically feature demand as the key motivation driver for contraceptive use. Yet relatively little is known about the extent to which demand for contraception predicts future contraceptive use, primarily due to the lack of longitudinal data that captures these measures at different time points. Two ways in which demand is often measured are unmet need and intention to use. Despite its intended use as a population measure, unmet need is commonly used in individual-level analyses and as a marker for individual-level demand for contraception. Few studies have assessed the extent to which unmet need predicts or reflects women's true latent demand as demonstrated by their future contraceptive use; the same is true for intention to use contraception in the future. We expand on previous research to assess whether and the degree to which unmet need and intention to use contraception predict adoption of contraception within a year, among nonusers in ten representative geographies using Performance Monitoring for Action (PMA) data. Findings show that in nine of ten sites, intention to use within a year was significantly associated with subsequent adoption, while in eight of ten sites, unmet need for spacing or limiting was not associated with adoption. Our results are important for programs as they try to identify true dynamic demand for contraception.

Not All Conservatives Are Vaccine Hesitant: Examining the Influence of Misinformation Exposure, Political Ideology, and Flu Vaccine Acceptance on COVID-19 Vaccine Hesitancy.

Despite the mass availability of COVID-19 vaccines in the United States, many Americans are still reluctant to take a vaccine as an outcome from exposure to misinformation. Additionally, while scholars have paid attention to COVID-19 vaccine hesitancy, the influence of general vaccine hesitancy for important viruses such as the flu has largely been ignored. Using nationally representative data from Pew Research Center's American Trends Panel survey (Wave 79), this study examined the relationship between perceived misinformation exposure, COVID-19 vaccine hesitancy, flu vaccine acceptance, political ideology, and demographic trends. The findings suggest that those who accepted the flu vaccine were less likely to be COVID-19 vaccine-hesitant. In addition, moderation analyses showed that perceived misinformation exposure increases COVID-19 vaccine hesitancy for conservatives and moderates but not for liberals. However, perceived misinformation exposure influences COVID-19 vaccine hesitancy among conservatives only if they are also flu vaccine-hesitant. Perceived misinformation exposure has no role in COVID-19 vaccine hesitancy if individuals (irrespective of political ideology) are regular with their flu vaccine. The results suggest that the effect of misinformation exposure on negative attitudes toward COVID-19 may be associated with generalized vaccine hesitancy (e.g., flu). The practical and theoretical implications are discussed.

Development of the Demographic Dividend Effort Index, a novel tool to measure existing efforts to create a favourable environment to harness a demographic dividend: results from an experts' survey from six sub-Saharan African countries.

OBJECTIVE: This study aimed to develop a tool to measure the extent of national efforts in policies, services, research and programmes implemented to cultivate and harness the benefits of a potential demographic dividend in six sub-Saharan African countries. DESIGN: The survey was self-administered online using the SurveyMonkey platform. The survey questionnaire covered six key sectors: family planning, maternal and child health, education, women's empowerment, labour market, and governance and economic institution. Each sector-specific questionnaire was structured around five practice domains: policymaking, services and programmes, advocacy, research and civil society. Each item was scored from 1 to 10. Factor analysis was used to select the items to be retained for final score estimation. Simple averages were computed to estimate sectoral and domain scores and overall country scores were estimated using weighted country mean scores. Internal consistency, construct validity and reliability were examined using factor analysis and Cronbach's alpha. SETTING: Sub-Saharan Africa. PARTICIPANTS: A total of 440 knowledgeable informants from six countries; namely, Ethiopia (73), Kenya (69), Nigeria (67), Rwanda (54), Senegal (81) and Tanzania (96). RESULTS: Based on the results from factor analysis, 38 items were dropped from the analysis and Cronbach's alpha results ranged from 0.84 to 0.98 across domains. The overall demographic dividend effort index (DDEI) scores ranged between 5.4 (95% CI 5.1 to 5.8) in Ethiopia to 7.7 (95% CI 7.5 to 8.0) in Rwanda. In most countries, the disaggregated scores by sector revealed low scores in the labour market and women's empowerment. CONCLUSION: The DDEI scores highlight important gaps in key health and development sectors. The DDEI proved to be a reliable and internally consistent tool for effort measurement in key demographic dividend sectors. The DDEI can serve as a self-evaluation tool for local actors and may complement existing quantitative tools such as the Global Gender Gap and the Human Capital Index.

Development of an instrument to measure awareness and mitigation of bias in maternal healthcare.

BACKGROUND: Implicit bias among maternal healthcare professionals contributes to disrespectful care and racial and ethnic disparities in patient outcomes, and there is growing consensus that implicit bias training is a key component of birth equity initiatives. A requirement for implicit bias training for healthcare professionals has become more widespread, but the impact training has is largely unknown, in part, because of a lack of validated instruments. Therefore, there is an urgent need for a psychometrically valid instrument for use in the evaluation of implicit bias training. OBJECTIVE: This study aimed to develop a valid and reliable instrument to assess implicit bias awareness and mitigation practices among maternal care professionals and that can be used to evaluate interventions aimed at mitigating such bias in clinical practice. STUDY DESIGN: We conducted an instrument development and validation study in 3 phases. In phase 1, item development, we generated a 43-item bank from literature and consultation and established content validity with subject matter experts. In phase 2, instrument development, we administered a revised set of 33 items to 307 nurses and midwives and conducted exploratory factor analysis to demonstrate construct validity and reliability. In phase 3, instrument evaluation, we confirmed the factor structure and compared the means of implicit bias training-exposed and -unexposed participants to further demonstrate construct validity with a representative state sample of 2096 maternal healthcare professionals (physicians, midwives, and nurses). RESULTS: Based on phase 2 results, we retained 23 items for the Bias in Maternal Health Care scale, which showed high internal consistency (Cronbach's alpha, 0.86). We identified 3 subscales, namely a 9-item Bias Awareness subscale (Cronbach's alpha, 0.86), a 7-item Bias Mitigation Practice subscale (Cronbach's alpha, 0.82), and a 7-item Bias Mitigation Self-Efficacy subscale (Cronbach's alpha, 0.81). Validation of the Bias Awareness and Bias Mitigation Practice subscales in phase 3 demonstrated the instrument's high reliability (Cronbach's alpha 0.86 and 0.83, respectively) and discriminating performance among maternal healthcare professionals. CONCLUSION: We developed a reliable and valid instrument for measuring awareness and mitigation of bias among maternal healthcare professionals. It can be used to evaluate implicit bias training and other bias mitigation interventions in maternal healthcare settings.

Understanding variation in person-centered maternity care: Results from a household survey of postpartum women in 6 regions of Ethiopia.

BACKGROUND: Effective communication, respect and dignity, and emotional support are critical for a positive childbirth experience that is responsive to the needs and preferences of women. OBJECTIVE: This study evaluated the performance of a person-centered maternity care scale in a large, representative household sample of postpartum women, and it describes differences in person-centered maternity care across individuals and communities in Ethiopia. STUDY DESIGN: The study used data from 2019 and 2020 from a representative sample of postpartum women in 6 regions of Ethiopia. It measured person-centered maternity care using a scale previously validated in other settings. To assess the scale validity in Ethiopia, we conducted cognitive interviews, measured internal consistency, and evaluated construct validity. Then, we fit univariable and multivariable linear regression models to test for differences in mean person-centered maternity care scores by individual and community characteristics. Lastly, multilevel modeling separated variance in person-centered maternity care scores within and between communities. RESULTS: Effective communication and support of women's autonomy scored lowest among person-centered maternity care domains. Of 1575 respondents, 704 (44.7%) were never asked their permission before examinations and most said that providers rarely (n=369; 23.4%) or never (n=633; 40.2%) explained why procedures were done. Person-centered maternity care was significantly higher for women with greater wealth, more formal education, and those aged >20 years. Variation in person-centered maternity care scores between individuals within the same community (τ2=58.3) was nearly 3 times greater than variation between communities (σ2=21.2). CONCLUSION: Ethiopian women reported widely varying maternity care experiences, with individuals residing within the same community reporting large differences in how they were treated by providers. Poor patient-provider communication and inadequate support of women's autonomy contributed most to poor person-centered maternity care.

What is the relationship between contraceptive services and knowledge of abortion availability and legality? Evidence from a national sample of women and facilities in Ethiopia.

In Ethiopia, abortions are legal for minors and for rape, incest, foetal impairment or maternal disability. Knowledge of abortion legality and availability is low, and little effort has been made to disseminate this information for fear of invoking anti-abortion sentiment; instead, systems rely on health providers as information gatekeepers. This study explores how exposure to and interaction with family planning service delivery environment, specifically (1) availability of contraceptive and facility-based abortion services within 5 km of one's residence and (2) contact with a health provider in the past 12 months, relate to women's knowledge of the legality of accessing abortion services and of where to access facility-based abortion services. We used data from a nationally representative sample of 8719 women in Ethiopia and a linked health facility survey of 799 health facilities. Our outcome of interest was a categorical variable indicating if a woman had (1) knowledge of at least one legal ground for abortion, (2) knowledge of where to access abortion services, (3) knowledge of both or (4) knowledge of neither. We conducted multilevel, multinomial logistic regressions, stratified by residence. Approximately 60% of women had no knowledge of either a legal ground for abortion or a place to access services. Women who visited a health provider or who were visited by a health worker in the past 12 months were significantly more likely to know about abortion legality and availability. There were no differences based on whether women lived within 5 km of a facility that offered contraception and abortion services. We find that health workers are likely valuable sources of information; however, progress to disseminate information may be slowed if it relies on uptake of services and limited outreach. Efforts to train providers on legality and availability are critical, as is additional research on knowledge dissemination pathways.

Social Network-Based Induced Abortion Incidence Estimation in Burkina Faso: Examining the Impact of the Network Generating Question.

Social network-based methods are increasingly used to estimate induced abortion incidence and investigate correlates. Approaches differ in the social tie definitions used to identify which social network members' abortion experiences respondents will report. This study compares the effect of using the "best friend" (closest female friend) versus "confidante" (specifying mutual sharing of personal information) definition on abortion incidence estimation. We use data from a nationally representative survey of women aged 15-49 in Burkina Faso (conducted in 2020-2021) where respondents were randomized into two versions of an abortion module, using different friend definitions. We computed abortion rate estimates by friend definition and adjusted for assumption violations (transmission bias, surrogate sample selection bias). Unadjusted incidence rates varied from 11.7 [4.1-19.2] abortions per 1,000 women to 15.6 [9.7-21.4], depending on friend definition. The confidante definition yielded higher adjusted estimates (36.2 [25.1-47.2]) than the best friend definition (17.0 [8.7-25.3]) due to greater transmission bias adjustment. Both estimates exceeded the respondent self-reported abortion incidence (4.0 [2.2-5.9]). Our results indicate that either friend definition produces higher incidence estimates than self-report but suggest a potential advantage for the "best friend" over the "confidante" definition given lower transmission bias. Further research should assess generalizability of these findings in other contexts.