Factors associated with suboptimal complementary feeding practices among mothers of infants and young children in India.

Objectives: To examine the current complementary feeding practices among infants and young children aged 6 to 23 months in India, and factors influencing these practices at child, parental, household and community levels. Material and methods: Data on 74,095 last-born children aged 6 to 23 months used in this study were obtained from the 2015 India Demographic and Health Survey (IDHS). Complementary feeding indicators (timely introduction of complementary foods to infants aged 6 to 8 months old, minimum meal frequency, minimum dietary diversity, and minimum acceptable diets) were estimated, and their associated factors were identified using descriptive and multivariate (logistic regression) analyses. Results: The prevalence of the timely introduction of complementary foods to infants aged 6 to 8 months was 45.1%. The proportion of children between ages 6 to 23 months who received the minimum meal frequency, minimum dietary diversity and minimum acceptable diets were 36%, 21% and 9.1%, respectively. Findings from the multivariate analyses revealed that mothers of infants delivered at home, mothers who had no antenatal check-up, mothers who are Hindus, mothers living in rural areas or those from the Western/Northern geographical regions of India were at higher risk of suboptimal complementary feeding practices.Conclusions. Our findings indicate that, among other factors, achieving the recommended four or more antenatal visits was consistently associated with improved complementary feeding practices. Thus, policies that ensure increased coverage and quality of antenatal check-up could improve complementary feeding practices of mothers in India, and help towards achieving sustainable development goal 2, targeted at eradicating hunger and malnutrition.

Prevalence and determinants of chronic kidney disease in women with hypertensive disorders in pregnancy in Nigeria: a cohort study.

BACKGROUND: Worldwide, hypertensive disorders in pregnancy (HDPs) complicate between 5 and 10% of pregnancies. Sub-Saharan Africa (SSA) is disproportionately affected by a high burden of HDPs and chronic kidney disease (CKD). Despite mounting evidence associating HDPs with the development of CKD, data from SSA are scarce. METHODS: Women with HDPs (n = 410) and normotensive women (n = 78) were recruited at delivery and prospectively followed-up at 9 weeks, 6 months and 1 year postpartum. Serum creatinine was measured at all time points and the estimated glomerular filtration rates (eGFR) using CKD-Epidemiology equation determined. CKD was defined as decreased eGFR< 60 mL/min/1.73m2 lasting for ≥ 3 months. Prevalence of CKD at 6 months and 1 year after delivery was estimated. Logistic regression analyses were conducted to evaluate risk factors for CKD at 6 months and 1 year postpartum. RESULTS: Within 24 h of delivery, 9 weeks, and 6 months postpartum, women with HDPs were more likely to have a decreased eGFR compared to normotensive women (12, 5.7, 4.3% versus 0, 2 and 2.4%, respectively). The prevalence of CKD in HDPs at 6 months and 1 year postpartum was 6.1 and 7.6%, respectively, as opposed to zero prevalence in the normotensive women for the corresponding periods. Proportions of decreased eGFR varied with HDP sub-types and intervening postpartum time since delivery, with pre-eclampsia/eclampsia showing higher prevalence than chronic and gestational hypertension. Only maternal age was independently shown to be a risk factor for decreased eGFR at 6 months postpartum (aOR = 1.18/year; 95%CI 1.04-1.34). CONCLUSION: Prior HDP was associated with risk of future CKD, with prior HDPs being more likely to experience evidence of CKD over periods of postpartum follow-up. Routine screening of women following HDP-complicated pregnancies should be part of a postpartum monitoring program to identify women at higher risk. Future research should report on both the eGFR and total urinary albumin excretion to enable detection of women at risk of future deterioration of renal function.

HIV-MSS: A user-friendly management support system for better planning of HIV care services.

The advent of antiretroviral therapy (ART) has transformed HIV infection from a deadly disease to a manageable chronic condition. The life expectancy of people living with HIV has been prolonged dramatically. Therefore, health systems are now confronted with new challenges, with ever-increasing number of newly diagnosed cases, fuelling the pool of existing patients, with many comorbidities and requiring hospital admissions. Are health systems prepared to handle large and increasing numbers of people with HIV? We developed a HIV-Management Support System (MSS) to support service evaluation and management using simulation by capturing individual patient's pathways within HIV services in the United Kingdom. Two scenarios were tested: (1) the impact of increasing the number of diagnosed cases in steps of 5% on human resources and (2) the impact of treating all patients with ART on hospital admissions. A 5% increase in newly diagnosed HIV cases increases human resource requirements between 4% and 8%, whereas the impact of treating all HIV patients with ART on hospital admissions is far greater. HIV services are under intense pressure and managing patient and service needs are far more important than ever, hence the development of our HIV MSS is timely, to support better planning of services. Note that the HIV simulation model presented in this study is the first of its kind.

Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?

BACKGROUND: This study assessed health workers' adherence to neonatal health protocols before and during the implementation of a mobile health (mHealth) clinical decision-making support system (mCDMSS) that sought to bridge access to neonatal health protocol gap in a low-resource setting. METHODS: We performed a cross-sectional document review within two purposively selected clusters (one poorly-resourced and one well-resourced), from each arm of a cluster-randomized trial at two different time points: before and during the trial. The total trial consisted of 16 clusters randomized into 8 intervention and 8 control clusters to assess the impact of an mCDMSS on neonatal mortality in Ghana. We evaluated health workers' adherence (expressed as percentages) to birth asphyxia, neonatal jaundice and cord sepsis protocols by reviewing medical records of neonatal in-patients using a checklist. Differences in adherence to neonatal health protocols within and between the study arms were assessed using Wilcoxon rank-sum and permutation tests for each morbidity type. In addition, we tracked concurrent neonatal health improvement activities in the clusters during the 18-month intervention period. RESULTS: In the intervention arm, mean adherence was 35.2% (SD = 5.8%) and 43.6% (SD = 27.5%) for asphyxia; 25.0% (SD = 14.8%) and 39.3% (SD = 27.7%) for jaundice; 52.0% (SD = 11.0%) and 75.0% (SD = 21.2%) for cord sepsis protocols in the pre-intervention and intervention periods respectively. In the control arm, mean adherence was 52.9% (SD = 16.4%) and 74.5% (SD = 14.7%) for asphyxia; 45.1% (SD = 12.8%) and 64.6% (SD = 8.2%) for jaundice; 53.8% (SD = 16.0%) and 60.8% (SD = 11.7%) for cord sepsis protocols in the pre-intervention and intervention periods respectively. We observed nonsignificant improvement in protocol adherence in the intervention clusters but significant improvement in protocol adherence in the control clusters. There were 2 concurrent neonatal health improvement activities in the intervention clusters and over 12 in the control clusters during the intervention period. CONCLUSION: Whether mHealth interventions can improve adherence to neonatal health protocols in low-resource settings cannot be ascertained by this study. Neonatal health improvement activities are however likely to improve protocol adherence. Future mHealth evaluations of protocol adherence must account for other concurrent interventions in study contexts.

Provider adherence to first antenatal care guidelines and risk of pregnancy complications in public sector facilities: a Ghanaian cohort study.

BACKGROUND: Guideline utilization aims at improvement in quality of care and better health outcomes. The objective of the current study was to determine the effect of provider complete adherence to the first antenatal care guidelines on the risk of maternal and neonatal complications in a low resource setting. METHODS: Women delivering in 11 health facilities in the Greater Accra region of Ghana were recruited into a cohort study. Their first antenatal visit records were reviewed to assess providers' adherence to the guidelines, using a thirteen-point checklist. Information on their socio-demographic characteristics and previous pregnancy history was collected. Participants were followed up for 6 weeks post-partum to complete data collection on outcomes. The incidence of maternal and neonatal complications was estimated. The effects of complete adherence on risk of maternal and neonatal complications were estimated and expressed as relative risks (RRs) with their 95% confidence intervals (CI) adjusted for a potential clustering effect of health facilities. RESULTS: Overall, 926 women were followed up to 6 weeks post-partum. Mean age (SD) of participants was 28.2 (5.4) years. Complete adherence to guidelines pertained to the care of 48.5% of women. Incidence of preterm deliveries, low birth weight, stillbirths and neonatal mortality were 5.3, 6.1, 0.4 and 1.4% respectively. Complete adherence to the guidelines decreased risk of any neonatal complication [0.72 (0.65-0.93); p = 0.01] and delivery complication [0.66 (0.44-0.99), p = 0.04]. CONCLUSION: Complete provider adherence to antenatal care guidelines at first antenatal visit influences delivery and neonatal outcomes. While there is the need to explore and understand explanatory mechanisms for these observations, programs that promote complete adherence to guidelines will improve the pregnancy outcomes.

Predicting stillbirth in a low resource setting.

BACKGROUND: Stillbirth is a major contributor to perinatal mortality and it is particularly common in low- and middle-income countries, where annually about three million stillbirths occur in the third trimester. This study aims to develop a prediction model for early detection of pregnancies at high risk of stillbirth. METHODS: This retrospective cohort study examined 6,573 pregnant women who delivered at Federal Medical Centre Bida, a tertiary level of healthcare in Nigeria from January 2010 to December 2013. Descriptive statistics were performed and missing data imputed. Multivariable logistic regression was applied to examine the associations between selected candidate predictors and stillbirth. Discrimination and calibration were used to assess the model's performance. The prediction model was validated internally and over-optimism was corrected. RESULTS: We developed a prediction model for stillbirth that comprised maternal comorbidity, place of residence, maternal occupation, parity, bleeding in pregnancy, and fetal presentation. As a secondary analysis, we extended the model by including fetal growth rate as a predictor, to examine how beneficial ultrasound parameters would be for the predictive performance of the model. After internal validation, both calibration and discriminative performance of both the basic and extended model were excellent (i.e. C-statistic basic model = 0.80 (95 % CI 0.78-0.83) and extended model = 0.82 (95 % CI 0.80-0.83)). CONCLUSION: We developed a simple but informative prediction model for early detection of pregnancies with a high risk of stillbirth for early intervention in a low resource setting. Future research should focus on external validation of the performance of this promising model.

Public health facility resource availability and provider adherence to first antenatal guidelines in a low resource setting in Accra, Ghana.

BACKGROUND: Lack of resources has been identified as a reason for non-adherence to clinical guidelines. Our aim was to describe public health facility resource availability in relation to provider adherence to first antenatal visit guidelines. METHODS: A cross-sectional analysis of the baseline data of a prospective cohort study on adherence to first antenatal care visit guidelines was carried out in 11 facilities in the Greater Accra Region of Ghana. Provider adherence was studied in relation to health facility resource availability such as antenatal workload for clinical staffs, routine antenatal drugs, laboratory testing, protocols, ambulance and equipment. RESULTS: Eleven facilities comprising 6 hospitals (54.5 %), 4 polyclinics (36.4 %) and 1 health center were randomly sampled. Complete provider adherence to first antenatal guidelines for all the 946 participants was 48.1 % (95 % CI: 41.8-54.2 %), varying significantly amongst the types of facilities, with highest rate in the polyclinics. Average antenatal workload per month per clinical staff member was higher in polyclinics compared to the hospitals. All facility laboratories were able to conduct routine antenatal tests. Most routine antenatal drugs were available in all facilities except magnesium sulphate and sulphadoxine-pyrimethamine which were lacking in some. Antenatal service protocols and equipment were also available in all facilities. CONCLUSION: Although antenatal workload varies across different facility types in the Greater Accra region, other health facility resources that support implementation of first antenatal care guidelines are equally available in all the facilities. These factors therefore do not adequately account for the low and varying proportions of complete adherence to guidelines across facility types. Providers should be continually engaged for a better understanding of the barriers to their adherence to these guidelines.

Individual and community determinants of neonatal mortality in Ghana: a multilevel analysis.

BACKGROUND: Neonatal mortality is a global challenge; identification of individual and community determinants associated with it are important for targeted interventions. However in most low and middle income countries (LMICs) including Ghana this problem has not been adequately investigated as the impact of contextual factors remains undetermined despite their significant influence on under-five mortality and morbidity. METHODS: Based on a modified conceptual framework for child survival, hierarchical modelling was deployed to examine about 6,900 women, aged 15 - 49 years (level 1), nested within 412 communities (level 2) in Ghana by analysing combined data of the 2003 and 2008 Ghana Demographic and Health Survey. The aim was to identify individual (maternal, paternal, neonatal, antenatal, delivery and postnatal) and community (socioeconomic disadvantage communities) determinants associated with neonatal mortality. RESULTS: The results showed both individual and community characteristics to be associated with neonatal mortality. Infants of multiple-gestation [OR 5.30; P-value < 0.001; 95% CI 2.81 - 10.00], neonates with inadequate birth spacing [OR 3.47; P-value < 0.01; 95% CI 1.60 - 7.57] and low birth weight [OR 2.01; P-value < 0.01; 95% CI 1.23 - 3.30] had a lower chance of surviving the neonatal period. Similarly, infants of grand multiparous mothers [OR 2.59; P-value < 0.05; 95% CI 1.03 - 6.49] and non-breastfed infants [OR 142.31; P-value < 0.001; 95% CI 80.19 - 252.54] were more likely to die during neonatal life, whereas adequate utilization of antenatal, delivery and postnatal health services [OR 0.25; P-value < 0.001; 95% CI 0.13 - 0.46] reduced the likelihood of neonatal mortality. Dwelling in a neighbourhood with high socioeconomic deprivation was associated with increased neonatal mortality [OR 3.38; P-value < 0.01; 95% CI 1.42 - 8.04]. CONCLUSION: Both individual and community characteristics show a marked impact on neonatal survival. Implementation of community-based interventions addressing basic education, poverty alleviation, women empowerment and infrastructural development and an increased focus on the continuum-of-care approach in healthcare service will improve neonatal survival.

Individual and contextual factors associated with childhood stunting in Nigeria: a multilevel analysis.

Stunting, a form of undernutrition, is the best measure of child health inequalities as it captures multiple dimensions of children's health, development and the environment where they live. The aim of this study was to quantify the predictors of childhood stunting in Nigeria. This study used data obtained from the 2008 Nigeria Demographic and Health Survey (NDHS). A total of 28 647 children aged 0-59 months included in NDHS in 2008 were analysed in this study. We applied multilevel multivariate logistic regression analysis in which individual-level factors were at the first level and community-level factors at the second level. The percentage change in variance of the full model accounted for about 46% in odds of stunting across the communities. The present study found that the following predictors increased the odds of childhood stunting: male gender, age above 11 months, multiple birth, low birthweight, low maternal education, low maternal body mass index, poor maternal health-seeking behaviour, poor household wealth and short birth interval. The community-level predictors found to have significant association with childhood stunting were: child residing in community with high illiteracy rate and North West and North East regions of the country. In conclusion, this study revealed that both individual- and community-level factors are significant determinants of childhood stunting in Nigeria.

Risk factors and a predictive model for under-five mortality in Nigeria: evidence from Nigeria demographic and health survey.

BACKGROUND: Under-5 mortality is a major public health challenge in developing countries. It is essential to identify determinants of under-five mortality (U5M) childhood mortality because these will assist in formulating appropriate health programmes and policies in order to meet the United Nations MDG goal. The objective of this study was to develop a predictive model and identify maternal, child, family and other risk factors associated U5M in Nigeria. METHODS: Population-based cross-sectional study which explored 2008 demographic and health survey of Nigeria (NDHS) with multivariable logistic regression. Likelihood Ratio Test, Hosmer-Lemeshow Goodness-of-Fit and Variance Inflation Factor were used to check the fit of the model and the predictive power of the model was assessed with Receiver Operating Curve (ROC curve). RESULTS: This study yielded an excellent predictive model which revealed that the likelihood of U5M among the children of mothers that had their first marriage at age 20-24 years and ≥25 years declined by 20% and 30% respectively compared to children of those that married before the age of 15 years. Also, the following factors reduced odds of U5M: health seeking behaviour, breastfeeding children for >18 months, use of contraception, small family size, having one wife, low birth order, normal birth weight, child spacing, living in urban areas, and good sanitation. CONCLUSIONS: This study has revealed that maternal, child, family and other factors were important risk factors of U5M in Nigeria. This study has identified important risk factors that will assist in formulating policies that will improve child survival.

Temporal trends in stillbirth over eight decades in England and Wales: A longitudinal analysis of over 56 million births and lives saved by improvements in maternity care.

Background: Considering the public health importance of stillbirth, this study quantified the trends in stillbirths over eight decades in England and Wales. Methods: This longitudinal study utilized the publicly available aggregated data from the Office for National Statistics that captured maternity information for babies delivered in England and Wales from 1940 to 2019. We computed the trends in stillbirth with the associated incidence risk difference, incidence risk ratio, and extra lives saved per decade. Results: From 1940-2019, 56 906 273 births were reported. The stillbirth rate declined (85%) drastically up to the early 1980s. In the initial five decades, the estimated number of deaths per decade further decreased by 67 765 (9.49/1000 births) in 1940-1949, 2569 (0.08/1000 births) in 1950-1959, 9121 (3.50/1000 births) in 1960-1969, 15 262 (2.31/1000 births) in 1970-1979, and 10 284 (1.57/1000 births) in 1980-1989. However, the stillbirth rate increased by an additional 3850 (0.58/1000 births) stillbirths in 1990-1999 and 693 (0.11/1000 births) stillbirths in 2000-2009. The stillbirth rate declined again during 2010-2019, with 3714 fewer stillbirths (0.54/1000 births). The incidence of maternal age <20 years reduced over time, but pregnancy among older women (>35 years) increased. Conclusions: The stillbirth rate declined drastically, but the rate of decline slowed in the last three decades. Though teenage pregnancy (<20 years) had reduced, the prevalence of women with a higher risk of stillbirth may have risen due to an increase in advanced maternal age. Improved, more personalised care is required to reduce the stillbirth rate further.

Effect of community antiretroviral therapy on treatment outcomes among stable antiretroviral therapy patients in Nigeria: A quasi experimental study.

OBJECTIVES: This study evaluates the effect of Community Anti-retroviral Groups on Immunologic, Virologic and clinical outcomes of stable Antiretroviral Therapy patients in Nigeria. METHOD: A cohort of 251 eligible adults (≥18 years) on first-line ART for at least 6 months with CD4 counts >200 cells/mm3 and viral load <1000 c/ml were devolved from 10 healthcare facilities to 51 community antiretroviral therapy groups. Baseline immunologic, virologic and clinical parameters were collected and community antiretroviral therapy group patients were followed up for a year after which Human Immunodeficiency Virus treatment outcomes at the baseline and a year after follow-up were compared using paired sample t-test. All the analyses were performed in STATA version 14. RESULT: Out of the 251 stable antiretroviral therapy adults enrolled, 186 (75.3%) were female, 52 (22.7%) had attained post-secondary education and the mean age of participants was 38 years (SD: 9.5). Also, 66 (27.9%) were employed while 125 (52.7%) were self-employed and 46(19.41%) unemployed. 246 (98.0%) of the participants were retained in care. While there was no statistically significant change in the CD4 counts (456cells/mm3 vs 481cells/mm3 P-0.489) and Log10 viral load (3.54c/ml vs 3.69c/ml P-0.359) after one year of devolvement into the community, we observed a significant increase in body weight (60.8 vs 65, P-0.01). CONCLUSION: This study demonstrates that community antiretroviral therapy has a potential of maintaining optimum treatment outcomes while improving adherence and retention, and reducing the burden of HIV treatment on the health facility. This study provides baseline information for further research and vital information for HIV program implementers planning to decentralize the management of stable antiretroviral therapy clients.

The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial.

BACKGROUND: MHealth interventions promise to bridge gaps in clinical care but documentation of their effectiveness is limited. We evaluated the utilization and effect of an mhealth clinical decision-making support intervention that aimed to improve neonatal mortality in Ghana by providing access to emergency neonatal protocols for frontline health workers. METHODS: In the Eastern Region of Ghana, sixteen districts were randomized into two study arms (8 intervention and 8 control clusters) in a cluster-randomized controlled trial. Institutional neonatal mortality data were extracted from the District Health Information System-2 during an 18-month intervention period. We performed an intention-to-treat analysis and estimated the effect of the intervention on institutional neonatal mortality (primary outcome measure) using grouped binomial logistic regression with a random intercept per cluster. This trial is registered at ClinicalTrials.gov (NCT02468310 ) and Pan African Clinical Trials Registry (PACTR20151200109073). FINDINGS: There were 65,831 institutional deliveries and 348 institutional neonatal deaths during the study period. Overall, 47 âˆ™ 3% of deliveries and 56 âˆ™ 9% of neonatal deaths occurred in the intervention arm. During the intervention period, neonatal deaths increased from 4 âˆ™ 5 to 6 âˆ™ 4 deaths and, from 3 âˆ™ 9 to 4 âˆ™ 3 deaths per 1000 deliveries in the intervention arm and control arm respectively. The odds of neonatal death was 2⋅09 (95% CI (1 âˆ™ 00;4 âˆ™ 38); p = 0 âˆ™ 051) times higher in the intervention arm compared to the control arm (adjusted odds ratio). The correlation between the number of protocol requests and the number of deliveries per intervention cluster was 0 âˆ™ 71 (p = 0 âˆ™ 05). INTERPRETATION: The higher risk of institutional neonatal death observed in intervention clusters may be due to problems with birth and death registration, unmeasured and unadjusted confounding, and unintended use of the intervention. The findings underpin the need for careful and rigorous evaluation of mHealth intervention implementation and effects. FUNDING: Netherlands Foundation for Scientific Research - WOTRO, Science for Global Development; Utrecht University.

Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs.

BACKGROUND: Developing and maintaining resilient health systems in low-resource settings like Ghana requires innovative approaches that adapt technology to context to improve health outcomes. One such innovation was a mobile health (mHealth) clinical decision-making support system (mCDMSS) that utilized text messaging (short message service, SMS) of standard emergency maternal and neonatal protocols via an unstructured supplementary service data (USSD) on request of the health care providers. This mCDMSS was implemented in a cluster randomized controlled trial (CRCT) in the Eastern Region of Ghana. OBJECTIVE: This study aimed to analyze the pattern of requests made to the USSD by health workers (HWs). We assessed the relationship between requests made to the USSD and types of maternal and neonatal morbidities reported in health facilities (HFs). METHODS: For clusters in the intervention arm of the CRCT, all requests to the USSD during the 18-month intervention period were extracted from a remote server, and maternal and neonatal health outcomes of interest were obtained from the District Health Information System of Ghana. Chi-square and Fisher exact tests were used to compare the proportion and type of requests made to the USSD by cluster, facility type, and location; whether phones accessing the intervention were shared facility phones or individual-use phones (type-of-phone); or whether protocols were accessed during the day or at night (time-of-day). Trends in requests made were analyzed over 3 6-month periods. The relationship between requests made and the number of cases reported in HFs was assessed using Spearman correlation. RESULTS: In total, 5329 requests from 72 (97%) participating HFs were made to the intervention. The average number of requests made per cluster was 667. Requests declined from the first to the third 6-month period (44.96% [2396/5329], 39.82% [2122/5329], and 15.22% [811/5329], respectively). Maternal conditions accounted for the majority of requests made (66.35% [3536/5329]). The most frequently accessed maternal conditions were postpartum hemorrhage (25.23% [892/3536]), other conditions (17.82% [630/3536]), and hypertension (16.49% [583/3536]), whereas the most frequently accessed neonatal conditions were prematurity (20.08% [360/1793]), sepsis (15.45% [277/1793]), and resuscitation (13.78% [247/1793]). Requests made to the mCDMSS varied significantly by cluster, type of request (maternal or neonatal), facility type and its location, type-of-phone, and time-of-day at 6-month interval (P<.001 for each variable). Trends in maternal and neonatal requests showed varying significance over each 6-month interval. Only asphyxia and sepsis cases showed significant correlations with the number of requests made (r=0.44 and r=0.79; P<.001 and P=.03, respectively). CONCLUSIONS: There were variations in the pattern of requests made to the mCDMSS over time. Detailed information regarding the use of the mCDMSS provides insight into the information needs of HWs for decision-making and an opportunity to focus support for HW training and ultimately improved maternal and neonatal health.

The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial.

BACKGROUND: Mobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associated with poor pregnancy and birth outcomes. This study aims to assess the effect of a clinical decision-making support system (CDMSS) directed at frontline health care providers on neonatal and maternal health outcomes. METHODS/DESIGN: A cluster randomized controlled trial will be conducted in 16 eligible districts (clusters) in the Eastern Region of Ghana to assess the effect of an mHealth CDMSS for maternal and neonatal health care services on maternal and neonatal outcomes. The CDMSS intervention consists of an Unstructured Supplementary Service Data (USSD)-based text messaging of standard emergency obstetric and neonatal protocols to providers on their request. The primary outcome of the intervention is the incidence of institutional neonatal mortality. Outcomes will be assessed through an analysis of data on maternal and neonatal morbidity and mortality extracted from the District Health Information Management System-2 (DHIMS-2) and health facility-based records. The quality of maternal and neonatal health care will be assessed in two purposively selected clusters from each study arm. DISCUSSION: In this trial the effect of a mobile CDMSS on institutional maternal and neonatal health outcomes will be evaluated to generate evidence-based recommendations for the use of mobile CDMSS in Ghana and other West African countries. TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT02468310 . Registered on 7 September 2015; Pan African Clinical Trials Registry, identifier: PACTR20151200109073 . Registered on 9 December 2015 retrospectively from trial start date.

Client Factors Affect Provider Adherence to Clinical Guidelines during First Antenatal Care.

BACKGROUND: The first antenatal clinic (ANC) visit helps to distinguish pregnant women who require standard care, from those with specific problems and so require special attention. There are protocols to guide care providers to provide optimal care to women during ANC. Our objectives were to determine the level of provider adherence to first antenatal visit guidelines in the Safe Motherhood Protocol (SMP), and assess patient factors that determine complete provider adherence. METHODS: This cross-sectional study is part of a cohort study that recruited women who delivered in eleven health facilities and who had utilized antenatal care services during their pregnancy in the Greater Accra region of Ghana. A record review of the first antenatal visit of participants was carried out to assess the level of adherence to the SMP, using a thirteen-point checklist. Information on their socio-demographic characteristics and previous pregnancy history was collected using a questionnaire. Percentages of adherence levels and baseline characteristics were estimated and cluster-adjusted odds ratios (OR) calculated to identify determinants. RESULTS: A total of 948 women who had delivered in eleven public facilities were recruited with a mean age (SD) of 28.2 (5.4) years. Overall, complete adherence to guidelines pertained to only 48.1% of pregnant women. Providers were significantly more likely to completely adhere to guidelines when caring for multiparous women [OR = 5.43 (1.69-17.44), p<0.01] but less likely to do so when attending to women with history of previous pregnancy complications [OR = 0.50 (0.33-0.75), p<0.01]. CONCLUSION: Complete provider adherence to first antenatal visit guidelines is low across different facility types in the Greater Accra region of Ghana and is determined by parity and history of previous pregnancy complication. Providers should be trained and supported to adhere to the guidelines during provision of care to all pregnant women.

Health insurance determines antenatal, delivery and postnatal care utilisation: evidence from the Ghana Demographic and Health Surveillance data.

OBJECTIVE: This study aims to evaluate the effect of maternal health insurance status on the utilisation of antenatal, skilled delivery and postnatal care. DESIGN: A population-based cross-sectional study. SETTING AND PARTICIPANTS: We utilised the 2008 Demographic and Health Survey data of Ghana, which included 2987 women who provided information on maternal health insurance status. PRIMARY OUTCOMES: Utilisation of antenatal, skilled delivery and postnatal care. STATISTICAL ANALYSES: Multivariable logistic regression was applied to determine the independent association between maternal health insurance and utilisation of antenatal, skilled delivery and postnatal care. RESULTS: After adjusting for socioeconomic, demographic and obstetric factors, we observed that among insured women the likelihood of having antenatal care increased by 96% (OR 1.96; 95% CI 1.52 to 2.52; p value<0.001) and of skilled delivery by 129% (OR 2.29; 95% CI 1.92 to 2.74; p value<0.001), while postnatal care among insured women increased by 61% (OR 1.61; 95% CI 1.17 to 2.21; p value<0.01). CONCLUSIONS: This study demonstrated that maternal health insurance status plays a significant role in the uptake of the maternal, neonatal and child health continuum of care service.

Temporal trends in childhood mortality in Ghana: impacts and challenges of health policies and programs.

BACKGROUND: Following the adoption of the Millennium Development Goal 4 (MDG 4) in Ghana to reduce under-five mortality by two-thirds between 1990 and 2015, efforts were made towards its attainment. However, impacts and challenges of implemented intervention programs have not been examined to inform implementation of Sustainable Development Goal 3.2 (SDG 3.2) that seeks to end preventable deaths of newborns and children aged under-five. Thus, this study aimed to compare trends in neonatal, infant, and under-five mortality over two decades and to highlight the impacts and challenges of health policies and intervention programs implemented. DESIGN: Ghana Demographic and Health Survey data (1988-2008) were analyzed using trend analysis. Poisson regression analysis was applied to quantify the incidence rate ratio of the trends. Implemented health policies and intervention programs to reduce childhood mortality in Ghana were reviewed to identify their impact and challenges. RESULTS: Since 1988, the annual average rate of decline in neonatal, infant, and under-five mortality in Ghana was 0.6, 1.0, and 1.2%, respectively. From 1988 to 1989, neonatal, infant, and under-five mortality declined from 48 to 33 per 1,000, 72 to 58 per 1,000, and 108 to 83 per 1,000, respectively, whereas from 1989 to 2008, neonatal mortality increased by 2 per 1,000 while infant and under-five mortality further declined by 6 per 1,000 and 17 per 1,000, respectively. However, the observed declines were not statistically significant except for under-five mortality; thus, the proportion of infant and under-five mortality attributed to neonatal death has increased. Most intervention programs implemented to address childhood mortality seem not to have been implemented comprehensively. CONCLUSION: Progress towards attaining MDG 4 in Ghana was below the targeted rate, particularly for neonatal mortality as most health policies and programs targeted infant and under-five mortality. Implementing neonatal-specific interventions and improving existing programs will be essential to attain SDG 3.2 in Ghana and beyond.

Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region.

BACKGROUND: High quality routine health system data is essential for tracking progress towards attainment of the Millennium Development Goals 4 & 5. This study aimed to determine the completeness and accuracy of transfer of routine maternal health service data at health facility, district and regional levels of the Greater Accra Region of Ghana. METHODS: A cross sectional study was conducted using secondary data comprised of routine health information data collected at facility level for the first quarter of 2012. Twelve health facilities were selected using a multistage sampling method. Data relating to antenatal care and delivery were assessed for completeness and accuracy of data transfer. Primary source data from health facility level (registers and record notebooks where health information data are initially entered) , used as the reference data, were counted, collated, and compared with aggregate data on aggregate forms compiled from these sources by health facility staff. The primary source data was also compared with data in the district health information management system (DHIMS-II), a web-based data collation and reporting system. Percentage completeness and percentage error in data transfer were estimated. RESULTS: Data for all 5,537 antenatal registrants and 3, 466 deliveries recorded into the primary source for the first quarter of 2012 were assessed. Completeness was best for age data, followed by data on parity and hemoglobin at registration. Mean completeness of the facility level aggregate data for the data sampled, was 94.3% (95% CI = 90.6% - 98.0%) and 100.0% respectively for the aggregate form and DHIMS-II database. Mean error in data transfer was 1.0% (95% CI = 0.8% - 1.2%). Percentage error comparing aggregate form data and DHIMS-II data respectively to the primary source data ranged from 0.0% to 4.9% respectively, while percentage error comparing the DHIMS-II data to aggregate form data, was generally very low or 0.0%. CONCLUSION: Routine maternal health services data in the Greater Accra region, available at the district level through the DHIMS-II system is complete when compared to facility level primary source data and reliable for use.

Predictors of skilled attendance at delivery among antenatal clinic attendants in Ghana: a cross-sectional study of population data.

OBJECTIVE: To identify demographic, maternal and community predictors of skilled attendance at delivery among women who attend antenatal clinic at least once during their pregnancy in Ghana. DESIGN: A cross-sectional study using the 2008 Ghana Demographic and Health Survey (DHS) data. We used frequencies for descriptive analysis, χ(2) test for associations and logistic regression to identify significant predictors. Predictive models were built with estimation of area under the receiver operating characteristic curves (AUC). SETTING: Ghana. PARTICIPANTS: A total of 2041 women who had a live birth in the 5 years preceding the survey, and attended an antenatal clinic having a skilled provider, at least once, during the pregnancy. OUTCOME: Skilled attendance at delivery. RESULTS: Overall, 60.5% (1235/2041) of women in our study sample reported skilled attendance at delivery. Significant positive associations existed between skilled attendance at delivery and the variables such as maternal educational level, wealth status class, ever use of contraception, previous pregnancy complications and health insurance coverage (p<0.001). Significant predictors of skilled attendance were wealth status class, residency, previous delivery complication, health insurance coverage and religion in a model with AUC (95% CI) of 0.85 (0.83 to 0.88). CONCLUSIONS: Women less likely to have skilled attendance at delivery can be identified during antenatal care by using data on wealth status class, health insurance coverage, residence, history of previous birth complications and religion, and targeted with interventions to improve skilled attendance at delivery.