Experiences of mothers and health workers with MomCare and SafeCare bundles in Kenya and Tanzania: A qualitative evaluation.

Between 2019 and 2022, the digital dividend project (DDP), a technology-based intervention that combined care (MomCare) and quality improvement (SafeCare) bundles to empower mothers to access quality care during pregnancy, labor, and delivery, and postnatally, was implemented in Kenya and Tanzania aiming to improve maternal and newborn health outcomes. We describe the experiences of the mothers in accessing and utilizing health services under the bundles, and the experiences of the health workers in providing the services. Between November and December 2022, we conducted a qualitative evaluation across health facilities in Kenya and Tanzania. We held Interviews with mothers (pregnant and postpartum women who had benefited from the care bundles) and health workers (physicians, nurses, and midwives who provided the care bundles, including health facility In-Charges) at the antenatal care (ANC), skilled birth attendance (SBA), and postnatal care (PNC) service delivery points. We performed content analysis. Findings are reported using themes and quotes from the participants. We included 127 mothers (Kenya = 76, Tanzania = 51) and 119 health workers. Findings revealed that among mothers, the care bundles eased access to health services, ensured easy access and optimal ANC use, provision of respectful care, removed financial constraints, and led to the receipt of sufficient health education. Health workers reported that the care bundles offered them a new opportunity to provide quality maternal and newborn care and to adhere to the standard of care besides experiencing a positive and fulfilling practice. Health systems improvements included prompt emergency response and continual care, infrastructural developments, medical supplies and logistics, staffing, and increased documentation. Overall, the care bundles led to the strengthening of the healthcare system (staffing, service delivery, financing, supplies/logistics, and information management) in order to deliver quality maternal and child health services. The bundles should be replicated in settings with similar maternal and child health challenges.

Effect of high-risk versus low-risk pregnancy at the first antenatal care visit on the occurrence of complication during pregnancy and labour or delivery in Kenya: a double-robust estimation.

OBJECTIVES: We evaluated the causal effects of high-risk versus low-risk pregnancy at the first antenatal care (ANC) visit on the occurrence of complications during pregnancy and labour or delivery among women in Kenya. METHODS: We designed a quasi-experimental study using observational data from a large mobile health wallet programme, with the exposure as pregnancy risk at the first ANC visit, measured on a binary scale (low vs high). Complications during pregnancy and at labour or delivery were the study outcomes on a binary scale (yes vs no). Causal effects of the exposure were examined using a double-robust estimation, reported as an OR with a 95% CI. RESULTS: We studied 4419 women aged 10-49 years (mean, 25.6±6.27 years), with the majority aged 20-29 years (53.4%) and rural residents (87.4%). Of 3271 women with low-risk pregnancy at the first ANC visit, 833 (25.5%) had complications during pregnancy while 1074 (32.8%) had complications at labour/delivery. Conversely, of 1148 women with high-risk pregnancy at the first ANC visit, 343 (29.9%) had complication during pregnancy while 488 (42.5%) had complications at labour delivery. Multivariable adjusted analysis showed that women with high-risk pregnancy at the time of first ANC attendance had a higher occurrence of pregnancy during pregnancy (adjusted OR (aOR) 1.22, 95% CI 1.02 to 1.46) and labour or delivery (aOR 1.20, 95% CI 1.03 to 1.41). In the double-robust estimation, a high-risk pregnancy at first ANC visit increased the occurrence of complications during pregnancy (OR 1.23, 95% CI 1.04 to 1.46) and labour or delivery (OR 1.24, 95% CI 1.07 to 1.45). CONCLUSION: Women with a high-risk pregnancy at the first ANC visit have an increased occurrence of complications during pregnancy and labour or delivery. These women should be identified early for close and appropriate obstetric and intrapartum monitoring and care to ensure maternal and neonatal survival.

Associations between water, sanitation, and depression among older people in Ghana: empirical evidence from WHO-SAGE Wave 2 survey.

BACKGROUND: While depression is the most frequent psychiatric disorder among the older adults, the use of water and sanitation has been associated with both physical and psychological adverse outcomes. We investigated the associations of water and sanitation with depressive symptoms among older adults in Ghana. METHODS: The study used data from 4,735 participants in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 2 of adults aged ≥50 years. Major depressive episode (MDE) was assessed using the World Mental Health Survey version of the Composite International Diagnostic Interview and we classified water and sanitation sources based on the Joint Monitoring Program. Multivariate logistic regressions evaluated the associations. RESULTS: Approximately 7.3% of respondents reported a MDE, 90% and 78% used improved water sources and sanitation facilities respectively, and 77% shared sanitation facilities. Individuals who used unimproved water sources and unimproved sanitation were 1.6 and 1.3 times more likely to report MDE respectively. Also, sex-based analysis showed that the effect of the use of unimproved water and sanitation on depression was much appreciable and more substantial among women compared to men. CONCLUSIONS: The findings suggest the importance of water and sanitation to the well-being of older people, particularly among women. Policies targeted at improving the mental health in old age should include water and sanitation.

Measuring coverage of maternal and child health services using routine health facility data: a Sierra Leone case study.

BACKGROUND: There are limited existing approaches to generate estimates from Routine Health Information Systems (RHIS) data, despite the growing interest to these data. We calculated and assessed the consistency of maternal and child health service coverage estimates from RHIS data, using census-based and health service-based denominators in Sierra Leone. METHODS: We used Sierra Leone 2016 RHIS data to calculate coverage of first antenatal care contact (ANC1), institutional delivery and diphtheria-pertussis-tetanus 3 (DPT3) immunization service provision. For each indicator, national and district level coverages were calculated using denominators derived from two census-based and three health service-based methods. We compared the coverage estimates from RHIS data to estimates from MICS 2017. We considered the agreement adequate when estimates from RHIS fell within the 95% confidence interval of the survey estimate. RESULTS: We found an overall poor consistency of the coverage estimates calculated from the census-based methods. ANC1 and institutional delivery coverage estimates from these methods were greater than 100% in about half of the fourteen districts, and only 3 of the 14 districts had estimates consistent with the survey data. Health service-based methods generated better estimates. For institutional delivery coverage, five districts met the agreement criteria using BCG service-based method. We found better agreement for DPT3 coverage estimates using DPT1 service-based method as national coverage was close to survey data, and estimates were consistent for 8 out of 14 districts. DPT3 estimates were consistent in almost half of the districts (6/14) using ANC1 service-based method. CONCLUSION: The study highlighted the challenge in determining an appropriate denominator for RHIS-based coverage estimates. Systematic and transparent data quality check and correction, as well as rigorous approaches to determining denominators are key considerations to generate accurate coverage statistics using RHIS data.

Determinants of transitions in water and sanitation services in two urban slums of Nairobi: A multi-state modeling approach.

Access to improved water, sanitation, and hygiene (WASH) services at the household level remains a good strategy to improve the health and well-being of individuals. Informal settlements, such as urban slums, are at risk of the spread of diseases due to the relative lack of access to safe, clean drinking water and basic sanitation, as well as poor hygiene. Global initiatives, such as the Sustainable Development Goals (SDGs) adopted by the United Nations, are aimed at transitioning households and communities from unimproved to sustained improved states of WASH services. To deepen understanding of the time dynamics between states of WASH services in the Nairobi Urban and Demographic Surveillance System (NUHDSS), this study employs the multi-state transition model to assess the influence of potential risk factors on these transitions. Results indicated that study sites, wealth tertile, age of household head, poverty status, the ethnicity of household head, household ownership, and food security were associated with household transitions of WASH services. There was a lower probability for households to transition from unimproved to improved toilet services than the reverse transition, but a higher chance for households to transition from unimproved to improved water and garbage services. The estimated average time that households spent in the unimproved and improved states before transitioning were, respectively, 35 months and 9 months for toilet services, 7 months and 66 months for water services, and 16 months and 19 months for garbage services. Thus, households tend to remain longer in the unimproved state of toilet and garbage services, and when in the improved states, they transition back relatively faster compared to water services. In conclusion, sanitation services in Nairobi informal settings remain largely unsatisfactory as transitions to improved services are not sustained. It is therefore important for governments, policy-makers, and stakeholders to put in place policies and interventions targeting vulnerable households for improved and sustained WASH services.

[Use of action research data by a Mali district doctor.] / L'utilisation des données de recherche-action par un médecin de district au Mali.

The development of action research is one of the major strategic axes of the Mali sectoral health and population policy. Action research is designed to improve priority health interventions in the light of acquired knowledge. This policy allows offers district doctors to develop research subjects related to population health promotion interventions. In this context, the author conducted action research activities concerning the community funding of emergency transport expenses, and caesarean section in remote rural health centres. However, this research had to overcome difficulties in terms of insufficient time, information, training for literature searches, supervision of the production of valid information and sponsors.The development of close relations with research support institutions and organizations and the development of networking can help to increase the interest of district doctors. These actions will be used to structure ongoing research initiatives and can guide the necessary changes to achieve the objectives of research programmes and improvement of the population's state of health.

Feasibility and Effectiveness of mHealth for Mobilizing Households for Indoor Residual Spraying to Prevent Malaria: A Case Study in Mali.

Components of mHealth are increasingly being added to development interventions worldwide. A particular case of interest is in Mali where the U.S. President's Malaria Initiative (PMI) Africa Indoor Residual Spraying (AIRS) Project piloted a mobile mass-messaging service in Koulikoro District in August 2014 to determine whether voice and/or text messages received on cell phones could effectively replace door-to-door mobilization for an indoor residual spraying (IRS) campaign. To measure the pilot's effectiveness, we evaluated structure preparedness (all household and food items removed) in 3 pilot intervention villages compared with 3 villages prepared for spray through door-to-door mobilization that was modified by incorporating town hall meetings and radio spots. Structure preparedness was significantly lower in households mobilized through the mobile-messaging approach compared with the door-to-door approach (49% vs. 75%, respectively; P = .03). Spray coverage of targeted households also was significantly lower among the mobile-messaging villages than the door-to-door mobilization villages (86% vs. 96%, respectively; P = .02). The mobile-messaging approach, at US$8.62 per structure prepared, was both more costly and less effective than the door-to-door approach at US$1.08 per structure prepared. While literacy and familiarity with technology were major obstacles, it also became clear that by removing the face-to-face interactions between mobilizers and household residents, individuals were not as trusting or understanding of the mobilization messages. These residents felt it was easier to ignore a text or voice message than to ignore a mobilizer who could provide reassurances and preparation support. In addition, men often received the mobile messages, as they typically owned the mobile phones, while women-who were more likely to be at home at the time of spray-usually interacted with the door-to-door mobilizers. Future attempts at using mHealth approaches for similar IRS mobilization efforts in Mali should be done in a way that combines mHealth tools with more common human-based interventions, rather than as a stand-alone approach, and should be designed with a gender lens in mind. The choice of software used for mass messaging should also be considered to find a local option that is both less expensive and perhaps more attuned to the local context than a U.S.-based software solution.