scholarly journals The use of health facility data to assess the effects of armed conflicts on maternal and child health: experience from the Kivu, DR Congo

2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Espoir Bwenge Malembaka ◽  
Chiara Altare ◽  
Rosine Nshobole Bigirinama ◽  
Ghislain Bisimwa ◽  
Robert Banywesize ◽  
...  

Abstract Background In conflict-affected settings, data on reproductive, maternal, newborn and child health (RMNCH) are often lacking for priority setting and timely decision-making. We aimed to describe the levels and trends in RMNCH indicators within Kivu provinces between 2015 and 2018, by linking conflict data with health facility (HF) data from the District Health Information System 2 (DHIS2). Methods We used data from the DHIS2 for the period 2015–2018, the 2014 Demographic and Health Survey, the 2018 Multiple Indicators Cluster Survey and the Uppsala Conflict Data Program. Health zones were categorised in low, moderate and high conflict intensity level, based on an annual conflict death rate. We additionally defined a monthly conflict death rate and a conflict event-days rate as measures of conflict intensity and insecurity. Outcomes were completion of four antenatal care visits, health facility deliveries, caesarean sections and pentavalent vaccine coverage. We assessed data quality and analyzed coverage and trends in RMNCH indicators graphically, by conflict categories and using HF data aggregated annually. We used a series of fixed-effect regression models to examine the potential dose-response effect of varying conflict intensity and insecurity on RMNCH. Results The overall HF reporting was good, ranging between 83.3 and 93.2% and tending to be lower in health zones with high conflict intensity in 2016 and 2017 before converging in 2018. Despite the increasing number of conflict-affected health zones over time, more in North-Kivu than in South-Kivu, we could not identify any clear pattern of variation in RMNCH coverage both by conflict intensity and insecurity. North-Kivu province had consistently reported better RMNCH indicators than South-Kivu, despite being more affected by conflict. The Kivu as a whole recorded higher coverage than the national level. Coverage of RMNCH services calculated from HF data was consistent with population-based surveys, despite year-to-year fluctuation among health zones and across conflict-intensity categories. Conclusions Although good in general, the HF reporting rate in the Kivu was negatively impacted by conflict intensity especially at the beginning of the DHIS2’s rolling-up. Routine HF data appeared useful for assessing and monitoring trends in RMNCH service coverage, including in areas with high-intensity conflict.

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Elizabeth M. Simmons ◽  
Kavita Singh ◽  
Jamiru Mpiima ◽  
Manish Kumar ◽  
William Weiss

Abstract Background Nationally representative household surveys are the gold standard for tracking progress in coverage of life-saving maternal and child interventions, but often do not provide timely information on coverage at the local and health facility level. Electronic routine health information system (RHIS) data could help provide this information, but there are currently concerns about data quality. This analysis seeks to improve the usability of and confidence in electronic RHIS data by using adjustments to calculate more accurate numerators and denominators for essential interventions. Methods Data from three sources (Ugandan Demographic and Health (UDHS) survey, electronic RHIS, and census) were used to provide estimates of essential maternal (> 4 antenatal care visits (ANC), skilled delivery, and postnatal care visit (PNC)) and child health interventions (diphtheria, pertussis, tetanus, and hepatitis B and Haemophilus influenzae type b and polio vaccination series, measles vaccination, and vitamin A). Electronic RHIS data was checked for quality and both numerators and denominators were adjusted to improve accuracy. Estimates were compared between the three sources. Results Estimates of maternal health interventions from adjusted electronic RHIS data were lower than those of the UDHS, while child intervention estimates were typically higher. Adjustment of electronic RHIS data generally improved accuracy compared with no adjustment. There was considerable agreement between estimates from adjusted, electronic RHIS data, and UDHS for skilled delivery and first dose of childhood vaccination series, but lesser agreement for ANC visits and second and third doses of childhood vaccinations. Conclusions Nationally representative household surveys will likely continue being the gold standard of coverage estimates of maternal and child health interventions, but this analysis shows that current approaches to adjusting health facility estimate works better for some indications than others. Further efforts to improve accuracy of estimates from RHIS sources are needed.


Author(s):  
Lydia Kapiriri

Background: There is a growing body of literature on evidence-informed priority setting. However, the literature on the use of evidence when setting healthcare priorities in low-income countries (LICs), tends to treat the healthcare system (HCS) as a single unit, despite the existence of multiple programs within the HCS, some of which are donor supported. Objectives: (i) To examine how Ugandan health policy-makers define and attribute value to the different types of evidence; (ii) Based on 6 health programs (HIV, maternal, newborn and child health [MNCH], vaccines, emergencies, health systems, and non- communicable diseases [NCDs]) to discuss the policy-makers’ reported access to and use of evidence in priority setting across the 6 health programs in Uganda; and (iii) To identify the challenges related to the access to and use of evidence. Methods: This was a qualitative study based on in-depth key informant interviews with 60 national level (working in 6 different health programs) and 27 sub-national (district) level policy-makers. Data were analysed used a modified thematic approach. Results: While all respondents recognized and endeavored to use evidence when setting healthcare priorities across the 6 programs and in the districts; more national level respondents tended to value quantitative evidence, while more district level respondents tended to value qualitative evidence from the community. Challenges to the use of evidence included access, quality, and competing values. Respondents from highly politicized and donor supported programs such as vaccines, HIV and maternal neonatal and child health were more likely to report that they had access to, and consistently used evidence in priority setting. Conclusion: This study highlighted differences in the perceptions, access to, and use of evidence in priority setting in the different programs within a single HCS. The strong infrastructure in place to support for the access to and use of evidence in the politicized and donor supported programs should be leveraged to support the availability and use of evidence in the relatively under-resourced programs. Further research could explore the impact of unequal availability of evidence on priority setting between health programs within the HCS.


2019 ◽  
Vol 3 (1) ◽  
pp. e000503 ◽  
Author(s):  
Nick Spencer ◽  
Shanti Raman ◽  
Bernadette O'Hare ◽  
Giorgio Tamburlini

Inequities have a profound impact on the health and development of children globally. While inequities are greatest in the world’s poorest countries, even in rich nations poorer children have poorer health and developmental outcomes. From birth through childhood to adolescence, morbidity, mortality, growth and development are socially determined, resulting in the most disadvantaged having the highest risk of poor health outcomes. Inequities in childhood impact across the life course. We consider four categories of actions to promote equity: strengthening individuals, strengthening communities, improving living and working conditions, and promoting healthy macropolicies. Inequities can be reduced but action to reduce inequities requires political will. The International Society for Social Paediatrics and Child Health (ISSOP) calls on governments, policy makers, paediatricians and professionals working with children and their organisations to act to reduce child health inequity as a priority. ISSOP recommends the following: governments act to reduce child poverty; ensure rights of all children to healthcare, education and welfare are protected; basic health determinants such as adequate nutrition, clean water and sanitation are available to all children. Paediatric and child health organisations ensure that their members are informed of the impact of inequities on children’s well-being and across the life course; include child health inequities in curricula for professionals in training; publish policy statements relevant to their country on child health inequities; advocate for evidence-based pro-equity interventions using a child rights perspective; advocate for affordable, accessible and quality healthcare for all children; promote research to monitor inequity as well as results of interventions in their child populations. Paediatricians and child health professionals be aware of the impact of social determinants of health on children under their care; ensure their clinical services are accessible and acceptable to all children and families within the constraints of their country’s health services; engage in advocacy at community and national level.


2019 ◽  
Vol 34 (10) ◽  
pp. 762-772
Author(s):  
David B Hipgrave ◽  
Ian Anderson ◽  
Midori Sato

Abstract Low- and middle-income countries (LMICs) face many challenges and competing demands in the health sector, including maternal and newborn mortality. The allocation of financial and human resources for maximum health impact is important for social and economic development. Governments must prioritize carefully and allocate scarce resources to maximum effect, but also in ways that are politically acceptable, financially and institutionally feasible, and sustainable. Political economy analysis (PEA)—that gets what, when and why—can help explain that prioritization process. We used PEA to investigate how four Asian LMICs (Bangladesh, Indonesia, Nepal and the Philippines) allocate and utilize resources for maternal, newborn and child health (MNCH). Using mixed research methods including a literature review, field interviews at national and sub-national level, and policy, process and budget analysis in each country, we examined three political economy issues: (1) do these countries demonstrably prioritize MNCH at policy level; (2) if so, is this reflected in the allocation of financial and other resources and (3) if resources are allocated to MNCH, do they achieve the intended outputs and outcomes through actual programme implementation? We also considered the influence of transnational developments. We found that all four countries demonstrate political commitment to health, including MNCH. However, the health sector receives comparatively low public financing, governments often do not follow through on plans or pronouncements, and capacity for related action varies widely. Poor governance and decentralization, lack of data for monitoring and evaluation of progress, and weak public sector human resource capacity were frequent problems; engagement of the private or non-government sectors is an important consideration. Opportunities exist to greatly improve equity and MNCH outcomes in these nations, using a mix of evidence, improved governance, social engagement and the media to influence decisions, increase resource allocation to and improve accountability in the health sector.


2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Eric Ssegujja ◽  
Michelle Andipatin

Abstract Background Of the close to 2.6 million stillbirths that happen annually, most are from low-income countries where until recently policies rarely paid special attention to addressing them. The global campaigns that followed called on countries to implement strategies addressing stillbirths and the adoption of recommendations varied according to contexts. This study explored factors that influenced the prioritization of stillbirth reduction in Uganda. Methods The study employed an exploratory qualitative design adopting Shiffman’s framework for political prioritization. Data collection methods included a document review and key informants’ interviews with a purposively selected sample of 20 participants from the policy community. Atlas. Ti software was used for data management while thematic analysis was conducted to analyze the findings. Findings Political prioritization of stillbirth interventions gained momentum following norm promotion from the global campaigns which peaked during the 2011 Lancet stillbirth series. This was followed by funding and technical support of various projects in Uganda. A combination of domestic advocacy factors such as a cohesive policy community converging around the Maternal and Child Health cluster accelerated the process by vetting the evidence and refining recommendations to support the adoption of the policy. The government’s health systems strengthening aspirations and integration of interventions to address stillbirths within the overall Maternal and Child Health programming resonated well. Conclusions The transnational influence played a key role during the initial stages of raising attention to the problem and provision of technical and financial support. The success and subsequent processes, however, relied heavily on domestic advocacy and the national political environment, and the cohesive policy community.


2020 ◽  
Author(s):  
Lauren Y. Maldonado ◽  
Julia J. Songok ◽  
John W. Snelgrove ◽  
Christian B. Ochieng ◽  
Sheilah Chelagat ◽  
...  

Abstract Background: Chamas for Change (Chamas) is a group-based health education and microfinance program for pregnant and postpartum women that aims to address inequities contributing to high rates of maternal and infant mortality in rural western Kenya. In this prospective matched cohort study, we evaluated the association between Chamas participation and facility-based delivery. We additionally explored the effect of participation on promoting other positive maternal, newborn and child health (MNCH) behaviors. Methods: We prospectively compared outcomes between a cohort of Chamas participants and controls matched for age, parity, and prenatal care location. Between October-December 2012, government-sponsored community health volunteers (CHV) recruited pregnant women attending their first antenatal care (ANC) visits at rural health facilities in Busia County to participate in Chamas. Women enrolled in Chamas agreed to attend group-based health education and microfinance sessions for one year; controls received the standard of care. We used descriptive analyses, multivariable logistic regression models, and random effect models to compare outcomes across cohorts 12 months following enrollment, with α set to 0.05. Results: Compared to controls (n=115), a significantly higher proportion of Chamas participants (n=211) delivered in a health facility (84.4% vs. 50.4%, p<0.001), attended at least four ANC visits (64.0% vs. 37.4%, p<0·001), exclusively breastfed to six months (82.0% vs. 47.0%, p<0·001), and received a CHV home visit within 48 hours postpartum (75.8% vs. 38.3%, p<0·001). In multivariable models, Chamas participants were over five times as likely as controls to deliver in a health facility (OR 5.49, 95% CI 3.12-9.64, p<0.001). Though not significant, Chamas participants experienced a lower proportion of stillbirths (0.9% vs. 5.2%), miscarriages (5.2% vs. 7.8%), infant deaths (2.8% vs. 3.4%), and maternal deaths (0.9% vs. 1.7%) compared to controls. Conclusions: Chamas participation was associated with increased odds of facility-based delivery compared to the standard of care in rural western Kenya. Larger proportions of program participants also practiced other positive MNCH behaviors. Our findings demonstrate Chamas’ potential to achieve population-level MNCH benefits; however, a larger study is needed to validate this observed effect. Trial Registration: ClinicalTrials.gov, NCT03188250 (retrospectively registered 31 May 2017)


2021 ◽  
Author(s):  
Michael L Scanlon ◽  
Lauren Y. Maldonado ◽  
Justus E. Ikemeri ◽  
Anjellah Jumah ◽  
Getrude Anusu ◽  
...  

Abstract Background: Health care workers in Kenya have launched major strikes in the public health sector in recent years but how strikes by health care workers affect health systems and services is under-explored. We conducted a qualitative study to explore maternal and child health care and services during nationwide strikes by health care workers in 2017 from the perspective of pregnant women, community health volunteers (CHVS), and health facility managers. Methods:We conducted interviews and focus group discussions (FGDs) with three populations: women who were pregnant in 2017, CHVs, and health facility managers. Participants were part of a previous study and recruited using convenience sampling from a single County in western Kenya. Interviews and FGDs were conducted in English or Kiswahili using semi-structured guides that probed women’s pregnancy experiences and maternal and child health services in 2017. Interviews and FGDs were audio-recorded, translated, and transcribed. Content analysis followed a thematic framework approach using deductive and inductive approaches. Data were collected March to July 2019. All participants provided written informed consent.Results:Forty-three women (mean age 28) and 22 CHVs (mean age 47) participated in 4 FGDs and 3 FGDs, respectively, and 8 health facility managers (mean age 38) participated in interviews. CHVs and health facility managers were majority female (80%). Participants reported that strikes by health care workers significantly impacted the availability and quality of maternal and child health services in 2017 and led to indirect economic effects due to households paying for services in the private sector. Participants overwhelmingly felt it was the poor, particularly poor women, who were most affected since they were more likely to rely on public services, while CHVs highlighted their own poor working conditions in response to strikes by other health care workers. Strikes strained relationships and trust between communities and the health system that were identified as particularly important to maternal and child health care. Conclusion: The impacts of strikes by health care workers extend beyond negative health and economic effects and exacerbate fundamental inequities in the health system with important implications for health systems strengthening and universal health coverage in Kenya and other countries.


2017 ◽  
Vol 95 (10) ◽  
pp. 683-694 ◽  
Author(s):  
Isabella Maina ◽  
Pepela Wanjala ◽  
David Soti ◽  
Hillary Kipruto ◽  
Benson Droti ◽  
...  

2019 ◽  
Author(s):  
Evelyne Baelvina Nyachwo ◽  
Rose Naigino ◽  
Rebecca Rachael Apolot ◽  
Rhoda K. Wanyenze ◽  
Juliet Kiguli ◽  
...  

Abstract Background: Health facility delivery improves maternal and child health outcomes but has not been fully achieved in countries with the poorest maternal health indicators. We identified and examined the roles of key influencers (significant others) of mother’s perceptions towards health facility delivery in Northern Uganda. Methods: This was an exploratory study conducted using in-depth interviews with eleven significant others in a mother’s life; who were purposively selected from four sub-counties of; Ogur, Agweng, Amach and Agali, as part of a larger study in Lira district, Northern Uganda. We also conducted seven key informant interviews with health workers involved in maternal and child health care. Data analysis using Atlas ti version.7.0 was conducted deductively following a thematic framework approach to analyse themes adapted from the health belief model. Results: The study identified husbands, biological mothers, mothers-in-law, fathers-in-law, brothers and co-wives as influencers of mother’s perceptions on uptake of health facility delivery. Other significant others included traditional birth attendants who were believed to have the ability to determine when the condition of a mother required the intervention of a medical expert. Community members such as local village leaders, village health extension workers and neighbours were also cited . Whereas husbands were regarded as ke y significant others of women, health workers emphasized that, husbands were not always available to support the mothers during pregnancy and child birth. The roles of significant others of women included: planning for birth, providing financial support, making decisions on where a mother will deliver from, continued counselling and psychosocial support. Conclusion: Programs aimed at increasing male involvement to improve maternal and child health outcomes should also target other influencers of women’s perceptions on health facility delivery including family and community members, to provide back-up support to mothers in the absence of their husbands.


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