Impact of cash transfer programs on healthcare utilization and catastrophic health expenditures in rural Zambia: a cluster randomized controlled trial.

Background: Nearly 100 million people are pushed into poverty every year due to catastrophic health expenditures (CHE). We evaluated the impact of cash support programs on healthcare utilization and CHE among households participating in a cluster-randomized controlled trial focusing on adolescent childbearing in rural Zambia. Methods and findings: The trial recruited adolescent girls from 157 rural schools in 12 districts enrolled in grade 7 in 2016 and consisted of control, economic support, and economic support plus community dialogue arms. Economic support included 3 USD/month for the girls, 35 USD/year for their guardians, and up to 150 USD/year for school fees. Interviews were conducted with 3,870 guardians representing 4,110 girls, 1.5-2 years after the intervention period started. Utilization was defined as visits to formal health facilities, and CHE was health payments exceeding 10% of total household expenditures. The degree of inequality was measured using the Concentration Index. In the control arm, 26.1% of the households utilized inpatient care in the previous year compared to 26.7% in the economic arm (RR = 1.0; 95% CI: 0.9-1.2, p = 0.815) and 27.7% in the combined arm (RR = 1.1; 95% CI: 0.9-1.3, p = 0.586). Utilization of outpatient care in the previous 4 weeks was 40.7% in the control arm, 41.3% in the economic support (RR = 1.0; 95% CI: 0.8-1.3, p = 0.805), and 42.9% in the combined arm (RR = 1.1; 95% CI: 0.8-1.3, p = 0.378). About 10.4% of the households in the control arm experienced CHE compared to 11.6% in the economic (RR = 1.1; 95% CI: 0.8-1.5, p = 0.468) and 12.1% in the combined arm (RR = 1.1; 95% CI: 0.8-1.5, p = 0.468). Utilization of outpatient care and the risk of CHE was relatively higher among the least poor than the poorest households, however, the degree of inequality was relatively smaller in the intervention arms than in the control arm. Conclusions: Economic support alone and in combination with community dialogue aiming to reduce early childbearing did not appear to have a substantial impact on healthcare utilization and CHE in rural Zambia. However, although cash transfer did not significantly improve healthcare utilization, it reduced the degree of inequality in outpatient healthcare utilization and CHE across wealth groups. Trial Registration: https://classic.clinicaltrials.gov/ct2/show/NCT02709967, ClinicalTrials.gov, identifier (NCT02709967).

The effect of COVID-19 on malaria cases in Zambia: a mixed effect multilevel analysis.

BACKGROUND: The burden of Malaria in Zambia remains a challenge, with the entire population at risk of contracting this infectious disease. Despite concerted efforts by African countries, including Zambia, to implement malaria policies and strategies aimed at reducing case incidence, the region faces significant hurdles, especially with emerging pandemics such as COVID-19. The efforts to control malaria were impacted by the constraints imposed to curb its transmission during the COVID-19 pandemic. The aim of the study was to assess the effect of the COVID-19 pandemic on malaria cases in Zambia and the factors associated by comparing the COVID-19 period and the pre-COVID-19 era. METHODS: This was a cross-sectional panel study in which routinely collected programmatic data on malaria was used. The data were extracted from the Health Management Information System (HMIS) for the period January 2018 to January 2022. The period 2018 to 2022 was selected purely due to the availability of data and to avoid the problem of extrapolating too far away from the period of interest of the study. A summary of descriptive statistics was performed in which the number of cases were stratified by province, age group, and malaria cases. The association of these variables with the COVID-19 era was checked using the Wilcoxon rank-sum test and Kruskal‒Wallis test as applicable. In establishing the factors associated with the number of malaria cases, a mixed-effect multilevel model using the Poisson random intercept and random slope of the COVID-19 panel. The model was employed to deal with the possible correlation of the number of cases in the non-COVID-19 panel and the expected correlation of the number of cases in the COVID-19 panel. RESULTS: A total of 18,216 records were extracted from HMIS from January 2018 to January 2022. Stratifying this by the COVID-19 period/era, it was established that 8,852 malaria cases were recorded in the non-COVID-19 period, whereas 9,364 cases were recorded in the COVID-19 era. Most of the people with malaria were above the age of 15 years. Furthermore, the study found a significant increase in the relative incidence of the COVID-19 panel period compared to the non-COVID-19 panel period of 1.32, 95% CI (1.18, 1.48, p < 0.0001). The observed numbers, as well as the incident rate ratio, align with the hypothesis of this study, indicating an elevated incidence rate ratio of malaria during the COVID-19 period. CONCLUSION: This study found that there was an increase in confirmed malaria cases during the COVID-19 period compared to the non-COVID-19 period. The study also found Age, Province, and COVID-19 period to be significantly associated with malaria cases.

Association of maternal prenatal copper concentration with gestational duration and preterm birth: a multicountry meta-analysis.

BACKGROUND: Copper (Cu), an essential trace mineral regulating multiple actions of inflammation and oxidative stress, has been implicated in risk for preterm birth (PTB). OBJECTIVES: This study aimed to determine the association of maternal Cu concentration during pregnancy with PTB risk and gestational duration in a large multicohort study including diverse populations. METHODS: Maternal plasma or serum samples of 10,449 singleton live births were obtained from 18 geographically diverse study cohorts. Maternal Cu concentrations were determined using inductively coupled plasma mass spectrometry. The associations of maternal Cu with PTB and gestational duration were analyzed using logistic and linear regressions for each cohort. The estimates were then combined using meta-analysis. Associations between maternal Cu and acute-phase reactants (APRs) and infection status were analyzed in 1239 samples from the Malawi cohort. RESULTS: The maternal prenatal Cu concentration in our study samples followed normal distribution with mean of 1.92 µg/mL and standard deviation of 0.43 µg/mL, and Cu concentrations increased with gestational age up to 20 wk. The random-effect meta-analysis across 18 cohorts revealed that 1 µg/mL increase in maternal Cu concentration was associated with higher risk of PTB with odds ratio of 1.30 (95% confidence interval [CI]: 1.08, 1.57) and shorter gestational duration of 1.64 d (95% CI: 0.56, 2.73). In the Malawi cohort, higher maternal Cu concentration, concentrations of multiple APRs, and infections (malaria and HIV) were correlated and associated with greater risk of PTB and shorter gestational duration. CONCLUSIONS: Our study supports robust negative association between maternal Cu and gestational duration and positive association with risk for PTB. Cu concentration was strongly correlated with APRs and infection status suggesting its potential role in inflammation, a pathway implicated in the mechanisms of PTB. Therefore, maternal Cu could be used as potential marker of integrated inflammatory pathways during pregnancy and risk for PTB.

Determinants and outcomes of low birth weight among newborns at a tertiary hospital in Zambia: A retrospective cohort study.

Context: Newborns' low birth weight (LBW) has been linked to early infant morbidity and mortality. However, our understanding of the determinants and outcomes of LBW in this population is still poor. Aim: This study aimed to assess determinants and outcomes of LBW among newborns at a tertiary hospital. Settings and Design: Retrospective cohort study at Women and Newborn Hospital in Lusaka Zambia. Subjects and Methods: We reviewed delivery case records and neonatal files between January 1, 2018, and September 30, 2019, for newborns admitted to the neonatal intensive care unit. Statistical Analysis Used: Logistic regression models were used to establish determinants of LBW and describe the outcomes. Results: Women living with human immunodeficiency virus infection were more likely to deliver LBW infants (adjusted odds ratio [AOR] = 1.46; 95% confidence interval [CI]: 1.16-1.86). Other maternal determinants of LBW were; increased parity (AOR = 1.22; 95% CI: 1.05-1.43), preeclampsia (AOR = 6.91; 95% CI: 1.48-32.36), and gestational age <37 weeks compared to 37 weeks or more (AOR = 24.83; 95% CI: 13.27-46.44). LBW neonates were at higher odds of early mortality (AOR = 2.16; 95% CI: 1.85-2.52), developing respiratory distress syndrome (AOR = 2.96; 95% CI: 2.53-3.47), and necrotizing enterocolitis (AOR = 1.66; 95% CI: 1.16-2.38) than neonates with a birth weight of 2500 g or more. Conclusions: These findings underscore the importance of effective maternal and neonatal interventions to reduce the risk of morbidity and mortality for neonates with LBW in Zambia and other similar settings.

Résumé Contexte: Le faible poids de naissance des nouveau-nés (LBW) a été lié à la morbidité et à la mortalité précoces du nourrisson. Cependant, notre compréhension des déterminants et des résultats de LBW dans cette population est encore médiocre. Objectif: Cette étude visait à évaluer les déterminants et les résultats de LBW chez les nouveau-nés dans un hôpital tertiaire. Paramètres et conception: Étude de cohorte rétrospective à l'hôpital des femmes et du nouveau-né à Lusaka Zambia. Sujets et méthodes: Nous avons examiné les dossiers de cas de livraison et les dossiers néonatals entre le 1er janvier 2018 et le 30 septembre 2019 pour les nouveau-nés admis à l'unité de soins intensifs néonatals. Analyse statistique utilisée: des modèles de régression logistique ont été utilisés pour établir des déterminants de LBW et décrire les résultats. Résultats: Les femmes vivant avec une infection par le virus de l'immunodéficience humaine étaient plus susceptibles de livrer des nourrissons LBW (rapport de cotes ajustée [AOR] = 1,46; intervalle de confiance à 95% [IC]: 1,16­1,86). Les autres déterminants maternels de LBW étaient; Parité accrue (AOR = 1,22; IC à 95%: 1,05­1,43), prééclampsie (AOR = 6,91; IC à 95%: 1,48­32,36) et âge gestationnel <37 semaines par rapport à 37 semaines ou plus (AOR = 24,83; 95% IC: 13.27­46.44). Les nouveau-nés LBW étaient à des chances de mortalité précoce plus élevés (AOR = 2,16; IC à 95%: 1,85­2,52), développant un syndrome de détresse respiratoire (AOR = 2,96; IC à 95%: 2,53­3,47) et en entérocolite nécrotitaire (AOR = 1,66; 95 % IC: 1,16­2,38) que les nouveau-nés avec un poids de naissance de 2500 g ou plus. Conclusions: Ces résultats soulignent l'importance des interventions maternelles et néonatales efficaces pour réduire le risque de morbidité et de mortalité pour les nouveau-nés avec LBW en Zambie et d'autres contextes similaires. Mots-clés: Déterminants, infection par le virus de l'immunodéficience humaine, faible poids à la naissance, nouveau-nés.

Oesophageal cancer cases recorded in the Zambia National Cancer Registry: a cross-sectional study.

Introduction: the aim of this study was to determine what proportion of patients with confirmed esophageal cancer at the largest hospital in the country were recorded in the Zambia National Cancer Registry (ZNCR). Methods: we reviewed esophageal cancer records at the University Teaching Hospital (UTH) and ZNCR, between 2015 and 2017. Using Stata version 15, data were summarised and the Kruskal-Wallis was used to compute comparisons, Kaplan-Meier curves for survival estimates and Cox regression for associated factors. Results: included in the final analysis were records for 222 patients with confirmed esophageal cancer and of these 51/222 (41%) were appearing in the ZNCR. The mean age of the patients was 56.2 years (SD, 13.0) and only 2/222 (1%) were confirmed alive at the time of data analysis. The median time from endoscopic diagnosis to histological confirmation was 12.5 days (IQR 7.5 - 21.5) and arrival at the Cancer Diseases Hospital (CDH) for treatment was 20 days (IQR 10 - 34). The overall median survival time in the study was 259 days (CI 95%; 151 - 501). Age, sex, time to diagnosis, histological classification and grade of tumour did not show any evidence of predicting survival in both the univariate and multivariable cox regression model (p>0.05). Conclusion: a significant proportion of esophageal cancer cases seen at UTH were not included in the national registry suggesting that official figures for the prevalence of esophageal cancer in Zambia are underestimated. There is an urgent need to improve the collection of data on esophageal cancer in Zambia.

Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning.

The coronavirus disease 2019 (COVID-19) has wreaked havoc globally, resulting in millions of cases and deaths. The objective of this study was to predict mortality in hospitalized COVID-19 patients in Zambia using machine learning (ML) methods based on factors that have been shown to be predictive of mortality and thereby improve pandemic preparedness. This research employed seven powerful ML models that included decision tree (DT), random forest (RF), support vector machines (SVM), logistic regression (LR), Naïve Bayes (NB), gradient boosting (GB), and XGBoost (XGB). These classifiers were trained on 1,433 hospitalized COVID-19 patients from various health facilities in Zambia. The performances achieved by these models were checked using accuracy, recall, F1-Score, area under the receiver operating characteristic curve (ROC_AUC), area under the precision-recall curve (PRC_AUC), and other metrics. The best-performing model was the XGB which had an accuracy of 92.3%, recall of 94.2%, F1-Score of 92.4%, and ROC_AUC of 97.5%. The pairwise Mann-Whitney U-test analysis showed that the second-best model (GB) and the third-best model (RF) did not perform significantly worse than the best model (XGB) and had the following: GB had an accuracy of 91.7%, recall of 94.2%, F1-Score of 91.9%, and ROC_AUC of 97.1%. RF had an accuracy of 90.8%, recall of 93.6%, F1-Score of 91.0%, and ROC_AUC of 96.8%. Other models showed similar results for the same metrics checked. The study successfully derived and validated the selected ML models and predicted mortality effectively with reasonably high performance in the stated metrics. The feature importance analysis found that knowledge of underlying health conditions about patients' hospital length of stay (LOS), white blood cell count, age, and other factors can help healthcare providers offer lifesaving services on time, improve pandemic preparedness, and decongest health facilities in Zambia and other countries with similar settings.

Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers.

BACKGROUND: Accurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low income countries. Our objective was to develop machine learning models to accurately estimate GA shortly after birth using clinical and metabolomic data. METHODS: We derived three GA estimation models using ELASTIC NET multivariable linear regression using metabolomic markers from heel-prick blood samples and clinical data from a retrospective cohort of newborns from Ontario, Canada. We conducted internal model validation in an independent cohort of Ontario newborns, and external validation in heel prick and cord blood sample data collected from newborns from prospective birth cohorts in Lusaka, Zambia and Matlab, Bangladesh. Model performance was measured by comparing model-derived estimates of GA to reference estimates from early pregnancy ultrasound. RESULTS: Samples were collected from 311 newborns from Zambia and 1176 from Bangladesh. The best-performing model accurately estimated GA within about 6 days of ultrasound estimates in both cohorts when applied to heel prick data (MAE 0.79 weeks (95% CI 0.69, 0.90) for Zambia; 0.81 weeks (0.75, 0.86) for Bangladesh), and within about 7 days when applied to cord blood data (1.02 weeks (0.90, 1.15) for Zambia; 0.95 weeks (0.90, 0.99) for Bangladesh). CONCLUSIONS: Algorithms developed in Canada provided accurate estimates of GA when applied to external cohorts from Zambia and Bangladesh. Model performance was superior in heel prick data as compared to cord blood data.

Different effects for different questions: An illustration using short cervix and the risk of preterm birth.

OBJECTIVE: To illustrate the difference between exposure effects and population attributable effects. METHODS: We examined the effect of mid-pregnancy short cervical length (<25 mm) on preterm birth using data from a prospective cohort of pregnant women in Lusaka, Zambia. Preterm birth was live birth or stillbirth before 37 weeks of pregnancy. For estimation, we used multivariable regression and parametric g-computation. RESULTS: Among 1409 women included in the analysis, short cervix was rare (2.4%); 13.6% of births were preterm. Exposure effect estimates were large (marginal risk ratio 2.86, 95% confidence interval [CI] 1.80-4.54), indicating that the preterm birth risk was substantially higher among women with a short cervix compared with women without a short cervix. However, the population attributable effect estimates were close to the null (risk ratio 1.06, 95% CI 1.02-1.10), indicating that an intervention to counteract the impact of short cervix on preterm birth would have minimal effect on the population risk of preterm birth. CONCLUSION: Although authors often refer to "the" effect, there are actually different types of effects, as we have illustrated here. In planning research, it is important to consider which effect to estimate to ensure that the estimate aligns with the research objective.

Determinants and outcomes of low birth weight among newborns at a Tertiary Hospital in Zambia: A retrospective cohort study

Aim: This study aimed to assess determinants and outcomes of LBW among newborns at a tertiary hospital. Settings and Design: Retrospective cohort study at Women and Newborn Hospital in Lusaka Zambia. Subjects and Methods: We reviewed delivery case records and neonatal files between January 1, 2018, and September 30, 2019, for newborns admitted to the neonatal intensive care unit. Statistical Analysis Used: Logistic regression models were used to establish determinants of LBW and describe the outcomes. Results: Women living with human immunodeficiency virus infection were more likely to deliver LBW infants (adjusted odds ratio [AOR] = 1.46; 95% confidence interval [CI]: 1.16­1.86). Other maternal determinants of LBW were; increased parity (AOR = 1.22; 95% CI: 1.05­1.43), preeclampsia (AOR = 6.91; 95% CI: 1.48­32.36), and gestational age <37 weeks compared to 37 weeks or more (AOR = 24.83; 95% CI: 13.27­46.44). LBW neonates were at higher odds of early mortality (AOR = 2.16; 95% CI: 1.85­2.52), developing respiratory distress syndrome (AOR = 2.96; 95% CI: 2.53­3.47), and necrotizing enterocolitis (AOR = 1.66; 95% CI: 1.16­2.38) than neonates with a birth weight of 2500 g or more. Conclusions: These findings underscore the importance of effective maternal and neonatal interventions to reduce the risk of morbidity and mortality for neonates with LBW in Zambia and other similar settings.

Effects of economic support, comprehensive sexuality education and community dialogue on sexual behaviour: Findings from a cluster-RCT among adolescent girls in rural Zambia.

Adolescent girls in Sub-Saharan Africa are at high risk of poor sexual and reproductive health outcomes. We present findings from a cluster-randomised trial in rural Zambia on the effects of economic support, comprehensive sexuality education (CSE) and community dialogue on sexual activity, contraceptive use and beliefs among adolescent girls. We recruited 157 schools in 2016, and all girls in grade 7 were invited to participate. Schools were randomised to either economic support, combined economic support, CSE and community dialogue, or control. Economic support consisted of unconditional cash transfers to girls and their guardians, and payment of school fees for girls continuing to grades eight and nine. CSE and community dialogue meetings focused on practices around girls' fertility, marriage and education. The interventions lasted two years from 2016 to 2018, with follow-up for another two years. The effects on outcomes were measured in 2018 and 2019 and compared using generalised estimating equations. We found that economic support lowered sexual activity (risk ratio (RR) 0.70; 95% C.I. 0.54 to 0.91), with a small added benefit of CSE and community dialogue. Economic support and the additional CSE and community dialogue were effective in lowering unprotected sexual activity (RR 0.53 for combined support vs. control; 95% C.I. 0.37 to 0.75). There was no evidence of intervention effects on contraceptive use among those ever sexually active, but the addition of CSE and community dialogue improved contraceptive use among those recently sexually active (RR 1.26; 95% C.I. 1.06 to 1.50) and knowledge regarding contraceptives (RR 1.18; 95% C.I. 1.01 to 1.38) compared to economic support alone. Perceived community support regarding contraceptives was lower in both intervention arms compared to the control. These findings indicate that economic support in combination with CSE and community dialogue can improve the sexual and reproductive health of adolescent girls.

Prediction of gestational age using urinary metabolites in term and preterm pregnancies.

Assessment of gestational age (GA) is key to provide optimal care during pregnancy. However, its accurate determination remains challenging in low- and middle-income countries, where access to obstetric ultrasound is limited. Hence, there is an urgent need to develop clinical approaches that allow accurate and inexpensive estimations of GA. We investigated the ability of urinary metabolites to predict GA at time of collection in a diverse multi-site cohort of healthy and pathological pregnancies (n = 99) using a broad-spectrum liquid chromatography coupled with mass spectrometry (LC-MS) platform. Our approach detected a myriad of steroid hormones and their derivatives including estrogens, progesterones, corticosteroids, and androgens which were associated with pregnancy progression. We developed a restricted model that predicted GA with high accuracy using three metabolites (rho = 0.87, RMSE = 1.58 weeks) that was validated in an independent cohort (n = 20). The predictions were more robust in pregnancies that went to term in comparison to pregnancies that ended prematurely. Overall, we demonstrated the feasibility of implementing urine metabolomics analysis in large-scale multi-site studies and report a predictive model of GA with a potential clinical value.

Effects of interventions for preventing road traffic crashes: an overview of systematic reviews.

BACKGROUND: Road traffic crashes (RTCs) are among the eight-leading causes of death globally. Strategies and policies have been put in place by many countries to reduce RTCs and to prevent RTCs and related injuries/deaths. METHODS: In this review, we searched the following databases Ovid Medline, Embase, Cochrane Database of Systematic Reviews, Epistemonikos, Web of Science, and LILACS for reviews matching our inclusion criteria between periods January 1950 and March 2020. We did not apply language or publication restrictions in the searches. We, however, excluded reviews that focused primarily on injury prevention and reviews that looked at crashes not involving a motor vehicle. RESULTS: We identified 35 systematic reviews matching our inclusion criteria and most of the reviews (33/35) included studies strictly from high-income countries. Most reviews were published before 2015, with only 5 published between 2015 and 2020. Methodological quality varied between reviews. Most reviews focused on enforcement intervention. There was strong evidence that random breath testing, selective breath testing, and sobriety checkpoints were effective in reducing alcohol-related crashes and associated fatal and nonfatal injuries. Other reviews found that sobriety checkpoints reduced the number of crashes by 17% [CI: (- 20, - 14)]. Road safety campaigns were found to reduce the numbers of RTCs by 9% [CI: (- 11, - 8%)]. Mass media campaigns indicated some median decrease in crashes across all studies and all levels of crash severity was 10% (IQR: 6 to 14%). Converting intersections to roundabouts was associated with a reduction of 30 to 50% in the number of RTCs resulting in injury and property damage. Electronic stability control measure was found to reduce single-vehicle crashes by - 49% [95% CI: (- 55, - 42%)]. No evidence was found to indicate that post-license driver education is effective in preventing road traffic injuries or crashes. CONCLUSION: There were many systematic reviews of varying quality available which included studies that were conducted in high-income settings. The overview has found that behavioural based interventions are very effective in reducing RTCs.

Training and capacity building in medical statistics in Sub-Saharan Africa: Impact of the London School of Hygiene & Tropical Medicine MSc in Medical Statistics, 1969 to 2021.

Since its inception in 1969, the MSc in medical statistics program has placed a high priority on training students from Africa. In this article, we review how the program has shaped, and in turn been shaped by, two substantial capacity building initiatives: (a) a fellowship program, funded by the UK Medical Research Council, and run through the International Statistical Epidemiology Group at the LSHTM, and (b) the Sub-Saharan capacity building in Biostatistics (SSACAB) initiative, administered through the Developing Excellence in Leadership, Training and Science in Africa (DELTAS) program of the African Academy of Sciences. We reflect on the impact of both initiatives, and the implications for future work in this area.

Interviewing adolescent girls about sexual and reproductive health: a qualitative study exploring how best to ask questions in structured follow-up interviews in a randomized controlled trial in Zambia.

BACKGROUND: Numerous studies have documented inconsistent reporting of sexual behaviour by adolescents. The validity and reliability of self-reported data on issues considered sensitive, incriminating or embarrassing, is prone to social-desirability bias. Some studies have found that Audio Computer-Assisted Self Interviewing (ACASI) that removes the personal interaction involved in face-to-face interviews, decreases item non-response and increases reporting of sensitive behaviours, but others have found inconsistent or contradictory results. To reduce social desirability bias in the reporting of sensitive behaviours, face-to-face interviews were combined with ACASI in a cluster randomized trial involving adolescents in Zambia. METHODS: To explore adolescent girls' experiences and opinions of being interviewed about sexual and reproductive health, we combined Focus Group Discussions with girl participants and individual semi-structured interviews with teachers. This study was done after the participants had been interviewed for the 6th time since recruitment. Young, female research assistants who had conducted interviews for the trial were also interviewed for this study. RESULTS: Respondents explained often feeling shy, embarrassed or uncomfortable when asked questions about sex, pregnancy and abortion face-to-face. Questions on sexual activity elicited feelings of shame, and teachers, research assistants and girls alike noted that direct questions about sexual activities limit what the participant girls may be willing to share. Responding to more indirect questions in relation to the context of a romantic relationship was slightly easier. Efforts by interviewers to signal that they did not judge the participants for their behavior and increased familiarity with the interviewer reduced discomfort over time. Although some appreciated the opportunity to respond to questions on their own, the privacy offered by ACASI also provided an opportunity to give false answers. Answering on tablets could be challenging, but participants were reluctant to ask for assistance for fear of being judged as not conversant with technology. CONCLUSION: Strategies to avoid using overly direct language and descriptive words, asking questions within the context of a romantic relationship and a focus on establishing familiarity and trust can reduce reporting bias. For the use of ACASI, considerations must be given to the context and characteristics of the study population.

Numerous studies have found that adolescents may not answer truthfully or consistently when questioned about issues such as sexual activity, abortion and pregnancy. Such issues are considered sensitive, incriminating, or embarrassing, and answers may be influenced by a fear of being misjudged or sanctioned. In an attempt to collect more reliable data on sexual behaviour and childbearing, we combined face-to-face interviews with Audio Computer-Assisted Self Interviewing (ACASI) in a research trial involving adolescents in Zambia. In this study we aimed to explore adolescent girls' experiences and opinions of being interviewed about sexual and reproductive health when participating in the trial. We combined group discussions with girl participants and individual interviews with teachers. Participants said they felt shy, embarrassed or uncomfortable when asked questions about sex, pregnancy and abortion face-to-face. Teachers, girls and interviewers alike noted that very direct questions limit what the participants may be willing to share. Efforts by interviewers to signal that they did not judge the participants for their behaviour, and repeated interviews with the same interviewer reduced discomfort over time. Some liked ACASI whereas some said it made it easier to give false answers, and answering on electronic tablets could be challenging. To reduce embarrassment and increase the likelihood of honest answers we recommend avoiding overly direct language and descriptive words, and to relate questions about sexual activity to a romantic relationship. Interviewers who are able to establish familiarity and trust can make participants more comfortable.

Determinants and neonatal outcomes of preeclampsia among women living with and without HIV at a tertiary hospital in Zambia: a review of medical records.

Introduction: pre-eclampsia, a pregnancy-specific condition that occurs after 20 weeks of gestation, is a significant public health problem. In the extant literature, there are still conflicting reports on whether Human immunodeficiency virus (HIV) infection and antiretroviral therapy (ART) affect preeclampsia rates. We, therefore, explored the determinants and neonatal outcomes of preeclampsia among pregnant women living with and without HIV. Methods: we reviewed delivery registers and neonatal files from the 1st January 2018, to 30th of September 2019 for women who delivered at Women and Newborn Hospital. The logistic regression model estimated the odds of preeclampsia and described the neonatal outcomes. Results: the prevalence of preeclampsia was 7.7% (95% confidence intervals: 6.8 to 8.7). On ART, pregnant women with HIV infection were less likely to develop preeclampsia than those without HIV infection (aOR=0.50; 95% CI: 0.32 to 0.80). However, neonates born to women with preeclampsia were more likely to be admitted to kangaroo mother care than neonates born to normotensive women, regardless of the HIV-exposure status. Conclusion: overall, the prevalence of preeclampsia was 7.7%, but it was less common among HIV-infected pregnant women receiving ART. Neonates born from women with preeclampsia are at increased risk of adverse outcomes, including admission to kangaroo mother care. These findings underscore the need for healthcare workers to direct their efforts on early diagnosis and detection of preeclampsia in pregnant women to prevent poor outcomes.

Association of maternal prenatal selenium concentration and preterm birth: a multicountry meta-analysis.

BACKGROUND: Selenium (Se), an essential trace mineral, has been implicated in preterm birth (PTB). We aimed to determine the association of maternal Se concentrations during pregnancy with PTB risk and gestational duration in a large number of samples collected from diverse populations. METHODS: Gestational duration data and maternal plasma or serum samples of 9946 singleton live births were obtained from 17 geographically diverse study cohorts. Maternal Se concentrations were determined by inductively coupled plasma mass spectrometry analysis. The associations between maternal Se with PTB and gestational duration were analysed using logistic and linear regressions. The results were then combined using fixed-effect and random-effect meta-analysis. FINDINGS: In all study samples, the Se concentrations followed a normal distribution with a mean of 93.8 ng/mL (SD: 28.5 ng/mL) but varied substantially across different sites. The fixed-effect meta-analysis across the 17 cohorts showed that Se was significantly associated with PTB and gestational duration with effect size estimates of an OR=0.95 (95% CI: 0.9 to 1.00) for PTB and 0.66 days (95% CI: 0.38 to 0.94) longer gestation per 15 ng/mL increase in Se concentration. However, there was a substantial heterogeneity among study cohorts and the random-effect meta-analysis did not achieve statistical significance. The largest effect sizes were observed in UK (Liverpool) cohort, and most significant associations were observed in samples from Malawi. INTERPRETATION: While our study observed statistically significant associations between maternal Se concentration and PTB at some sites, this did not generalise across the entire cohort. Whether population-specific factors explain the heterogeneity of our findings warrants further investigation. Further evidence is needed to understand the biologic pathways, clinical efficacy and safety, before changes to antenatal nutritional recommendations for Se supplementation are considered.

Modelling mortality within 28 days among preterm infants at a tertiary hospital in Lusaka, Zambia: a retrospective review of hospital-based records.

INTRODUCTION: globally, almost half of all deaths in children under five years of age occur among neonates. We investigated the predictors of mortality within 28 days among preterm infants at a tertiary hospital in Lusaka, Zambia. METHODS: we reviewed admission records linked to birth, mortality, and hospital discharge from 1st January 2018 to 30th September 2019. Information was retrieved with a follow-up period of 28 days post-delivery to discharge/mortality. We used the Weibull hazards regression to establish the best predictor model for mortality among the neonates. RESULTS: a total of 3237 case records of women with a median age of 27 years (IQR, 22-33) were included in the study, of which 971 (30%) delivered term infants and 2267 (70%) preterm infants. The overall median survival time of the infants was 98 hours (IQR, 34-360). Preterm birth was not associated with increased hazards of mortality compared to term birth (p=0.078). Being in the Kangaroo Mother Care compared to Neonatal Intensive Care Unit (NICU), and a unit increase in birth weight were independently associated with reduced hazards of mortality. On the other hand, having hypoxic-ischemic encephalopathy, experiencing difficulty in feeding and vaginal delivery compared to caesarean section independently increased the hazards of mortality. CONCLUSION: having hypoxic-ischemic encephalopathy, vaginal delivery, and experiencing difficulty in feeding increases the risk of mortality among neonates. Interventions to reduce neonatal mortality should be directed on these factors in this setting.

Predictors of Health Seeking Behaviours for Common Childhood Illnesses in Poor Resource Settings in Zambia, A Community Cross Sectional Study.

Background: Developing countries, including Zambia, account for larger share of child morbidities and mortalities due to common childhood illnesses. Studies on wider determinants of behaviour pertaining to treatment seeking for childhood febrile illnesses in poor resource settings are limited. This study investigated health seeking behaviours of mothers in poor resource settings of Zambia and identified associated factors. Methods: Secondary data from a community cross sectional study design from the Health for the Poorest Population (HPP) Project was analysed between March and May 2019. Data was collected between May and August, 2013. It was collected by means of administering a structured questionnaire from the mothers of under-five children. The survey took place in Samfya and Chiengi of Luapula province while in Northern Province, Luwingu and Mungwi were settled for. A total of 1 653 mothers of under 5 years who had an episode of diarrhoea, malaria, pneumonia or a combination of any of them not more than 14 days before the interview were included in the study. A sample size was arrived at using A Lot Quality Assurance Sampling (LQAS) method. In order to determine the associations between respondent's demographic characteristics and health seeking behaviour, chi square test of independence was carried out. Multivariable logistic regression was also done to identify predictors of health seeking behaviours for common childhood illnesses in children aged <5 years old in poor resource settings. Results: Among the mothers interviewed, 64.6% were married while 35.4% were unmarried. Their mean age was 32 years. Mothers who took their sick children to the health facilities for the purpose of seeking health care for their child for either of the illnesses accounted for 75.2%, [95% CI: 0.62-0.96], while 24.8% did not seek health care for their sick child. Factors typically associated with health seeking behaviours were mothers' marital status [aOR = 0.74; 95% CI: 0.58-0.94], and mothers 'education level [aOR = 1.47; 95% CI: 1.13-1.92]. Conclusion: It was established in this study that health care seeking behaviours for these common childhood illnesses in poor resource settings was relatively high and could be predicted by mother's education level and mothers' marital status. Integrating interventions targeted at increasing utilisation of maternal and child health services with basic education to women and moral support counselling to families may potentially maximise health seeking behaviours in marginalised communities.

An automated framework for image classification and segmentation of fetal ultrasound images for gestational age estimation.

Accurate assessment of fetal gestational age (GA) is critical to the clinical management of pregnancy. Industrialized countries rely upon obstetric ultrasound (US) to make this estimate. In low- and middle- income countries, automatic measurement of fetal structures using a low-cost obstetric US may assist in establishing GA without the need for skilled sonographers. In this report, we leverage a large database of obstetric US images acquired, stored and annotated by expert sonographers to train algorithms to classify, segment, and measure several fetal structures: biparietal diameter (BPD), head circumference (HC), crown rump length (CRL), abdominal circumference (AC), and femur length (FL). We present a technique for generating raw images suitable for model training by removing caliper and text annotation and describe a fully automated pipeline for image classification, segmentation, and structure measurement to estimate the GA. The resulting framework achieves an average accuracy of 93% in classification tasks, a mean Intersection over Union accuracy of 0.91 during segmentation tasks, and a mean measurement error of 1.89 centimeters, finally leading to a 1.4 day mean average error in the predicted GA compared to expert sonographer GA estimate using the Hadlock equation.