scholarly journals Can routine health facility data be used to monitor subnational coverage of maternal, newborn and child health services in Uganda?

2021 ◽  
Vol 21 (S1) ◽  
Author(s):  
Geraldine Agiraembabazi ◽  
Jimmy Ogwal ◽  
Christine Tashobya ◽  
Rornald Muhumuza Kananura ◽  
Ties Boerma ◽  
...  
Keyword(s):  
Child Health ◽  
Data Quality ◽  
Health Facility ◽  
Universal Coverage ◽  
Population Projections ◽  
Health Statistics ◽  
District Health ◽  
And Child Health ◽  
Antenatal Visits

Abstract Background Routine health facility data are a critical source of local monitoring of progress and performance at the subnational level. Uganda has been using district health statistics from facility data for many years. We aimed to systematically assess data quality and examine different methods to obtain plausible subnational estimates of coverage for maternal, newborn and child health interventions. Methods Annual data from the Uganda routine health facility information system 2015–2019 for all 135 districts were used, as well as national surveys for external comparison and the identification of near-universal coverage interventions. The quality of reported data on antenatal and delivery care and child immunization was assessed through completeness of facility reporting, presence of extreme outliers and internal data consistencies. Adjustments were made when necessary. The denominators for the coverage indicators were derived from population projections and health facility data on near-universal coverage interventions. The coverage results with different denominators were compared with the results from household surveys. Results Uganda’s completeness of reporting by facilities was near 100% and extreme outliers were rare. Inconsistencies in reported events, measured by annual fluctuations and between intervention consistency, were common and more among the 135 districts than the 15 subregions. The reported numbers of vaccinations were improbably high compared to the projected population of births or first antenatal visits – and especially so in 2015–2016. There were also inconsistencies between the population projections and the expected target population based on reported numbers of antenatal visits or immunizations. An alternative approach with denominators derived from facility data gave results that were more plausible and more consistent with survey results than based on population projections, although inconsistent results remained for substantive number of subregions and districts. Conclusion Our systematic assessment of the quality of routine reports of key events and denominators shows that computation of district health statistics is possible with transparent adjustments and methods, providing a general idea of levels and trends for most districts and subregions, but that improvements in data quality are essential to obtain more accurate monitoring.

Midwives' Acceptance of Using mHealth to Improve Data Quality of a Maternal and Child Health Program (Preprint)

2021 ◽  
Author(s):  
Kemal N Siregar ◽  
Budi Utomo ◽  
Rico Kurniawan ◽  
Retnowati Retnowati ◽  
Tris Eryando ◽  
...  
Keyword(s):  
Child Health ◽  
Data Quality ◽  
Maternal And Child Health ◽  
Maternal Mortality Ratio ◽  
Quality Data ◽  
Daily Work ◽  
Mortality Ratio ◽  
And Child Health ◽  
Mch Data

BACKGROUND Maternal and child health (MCH) remains an important agenda item in the Sustainable Development Goals (SDGs). Unfortunately, despite strong commitments, the maternal mortality ratio in Indonesia remains high. Program performance, particularly good midwife performance, is the main factor that can reduce the maternal mortality ratio. Improving midwife performance must be supported by the availability of data or evidence. However, midwives still experience problems with data collection in the MCH program. OBJECTIVE This study aimed to strengthen the quality of maternal and child health (MCH) data produced by mHealth. METHODS Three research avenues were evaluated: a) ensuring quality data are produced, b) building mHealth to fit the needs of midwives so that mHealth is acceptable to midwives, and c) identifying challenges midwives face when using mHealth RESULTS The MCH data generated by mHealth met the data quality criteria consisting of data completeness, correctness, currentness, and consistency. Midwives in the villages showed enthusiasm for using mHealth and accepted the mHealth which is supports their daily work. One of the challenges of using mHealth is the lack of integration with the Community Health Center information system. CONCLUSIONS The mHealth system produces quality data that can improve the current poor data quality, and this application can be easily used by midwives. The midwives generally accepted the application and agreed that mHealth helps with their daily work in MCH services CLINICALTRIAL This research has obtained ethical permission from the ethics commission of the Public Health Faculty Universitas Indonesia register number 477/UN2.F10/PPM.00.02/2019.

scholarly journals Facilitators and barriers to quality of care in maternal, newborn and child health: a global situational analysis through metareview

BMJ Open ◽  
2014 ◽  
Vol 4 (5) ◽  
pp. e004749 ◽  
Author(s):  
Manisha Nair ◽  
Sachiyo Yoshida ◽  
Thierry Lambrechts ◽  
Cynthia Boschi-Pinto ◽  
Krishna Bose ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Child Health ◽  
Situational Analysis ◽  
Newborn And Child Health ◽  
Facilitators And Barriers ◽  
And Child Health

scholarly journals Summary indices for monitoring universal coverage in maternal and child health care

2016 ◽  
Vol 94 (12) ◽  
pp. 903-912 ◽  
Author(s):  
Fernando C Wehrmeister ◽  
Maria-Clara Restrepo-Mendez ◽  
Giovanny VA Franca ◽  
Cesar G Victora ◽  
Aluisio JD Barros
Keyword(s):  
Health Care ◽  
Child Health ◽  
Maternal And Child Health ◽  
Universal Coverage ◽  
Child Health Care ◽  
And Child Health

scholarly journals Assessing Access and Healthcare Quality of Maternal and Child Health Services in Facilities of Kasai Province in the Democratic Republic of the Congo (DRC)

2021 ◽  
Author(s):  
Britou Ndela ◽  
Philippe Ngwala ◽  
Adrien N’siala ◽  
Albert Kalonji ◽  
Felix Minuku ◽  
...  
Keyword(s):  
Child Health ◽  
Health Services ◽  
Maternal And Child Health ◽  
Democratic Republic ◽  
Maternal Mortality Ratio ◽  
Child Health Services ◽  
Geographical Access ◽  
Republic Of The Congo ◽  
And Child Health

Abstract Background: The Democratic Republic of the Congo (DRC) is classified among the 5 countries with the highest global maternal mortality ratio (MMR) and highest under-five mortality rate (U5MR) in the world. Kasai is one of 14 provinces of the DRC, which have a high U5MR and MMR. Despite this overriding concern, almost no studies have been conducted to assess maternal et child situation in this province. The aim of this study was to assess access, availability, and quality of maternal and child health services in Kasai Province in the DRC. Methods: A cross-sectional survey of 49 Health Facilities (HFs) integrating quantitative and qualitative data collection was conducted in 18 Health Zones in Kasai Province in the DRC. Documentary review, interviews and direct observation of HFs were performed to collect data. Pearson’s chi-squared test was performed to establish the relation between variables.Results: Nearly 54 % of visited HFs population had a geographical access to maternal and child health services and the majority of medical acts were unaffordable. Basic and comprehensive emergency obstetric care (EmOC) were offered respectively by only 11.8% and 7.6% of HF and none provided high quality basic or comprehensive EmOC. This low availability and quality of EmOC are due to the insufficiency of necessary inputs and personal for maternal and child health services in the majority of HFs. Conclusion: The situation of maternal and child health services is very precarious in Kasai Province. The improvement of EmOC coverage will require rehabilitation of infrastructure, dotation of equipment, regular supply of medicines and strengthening of human resource capacity.

mHealth in Maternal, Newborn, and Child Health Programs around the World

2019 ◽  
pp. 55-63
Author(s):  
Briana Britton ◽  
Laura Pugliese ◽  
Stan Kachnowski
Keyword(s):  
Health Education ◽  
Child Health ◽  
Maternal And Child Health ◽  
Quality Of Healthcare ◽  
Biometric Data ◽  
Middle Income ◽  
Access And Quality ◽  
Child Health Programs ◽  
And Child Health

The incorporation of mobile devices into the delivery of healthcare, known as mHealth, is changing the way care is delivered in the 21st century. The impact of mHealth is particularly salient in low and middle income countries (LMICs), where mHealth poses the opportunity to increase access and quality of healthcare in systems where supportive infrastructure is otherwise lacking. This approach is well-suited to target issues of maternal and child health, permitting an increase in health education, communication, monitoring, and care to what are often vulnerable and hard-to-access populations. Employing mHealth tactics that target such populations can improve the overall access and quality of maternal and child health in the developing world - a priority for the United Nations as reflected in the Millennium Development Goals (MDGs). While the field of mHealth is new and still developing, many programs and thought-leaders have already successfully applied mHealth strategies in interventions to improve maternal and child health through health education, preventive care, emergency response, biometric data collection, and training healthcare workers.

scholarly journals Quality of Maternity Care and Client Satisfaction

2019 ◽  
Vol 2 (1) ◽  
pp. 73-76
Author(s):  
Saraswoti Kumari Gautam Bhattarai ◽  
Kanchan Gautam
Keyword(s):  
Quality Of Care ◽  
Child Health ◽  
Pregnant Women ◽  
Maternal And Child Health ◽  
Maternity Care ◽  
Client Satisfaction ◽  
Care Service ◽  
Postnatal Period ◽  
And Child Health

Health service provided to pregnant women during antenatal, childbirth and postnatal period is essential for maternal and child health. Proper care during pregnancy, childbirth and postnatal period are important for the health of mother and baby. High maternal, infant and child morbidity and mortality demand improved healthcare which does not concern to coverage of health services alone. The health issues of pregnant women, mothers, infants and children need to be addressed with the attention to the quality of care (QoC).  The Nepal Health Sector Strategy (NHSS) also identifies equity and quality of care gaps as areas of concern for achieving the maternal health sustainable development goal (SDG) target. So this review aims to sensitize and draw attention to the quality of maternity care and client satisfaction to improve maternal and child health. For this article, different studies related to the quality of maternity care and satisfaction from care service received on maternity care are reviewed.

scholarly journals Assessing coverage of essential maternal and child health interventions using health-facility data in Uganda

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Elizabeth M. Simmons ◽  
Kavita Singh ◽  
Jamiru Mpiima ◽  
Manish Kumar ◽  
William Weiss
Keyword(s):  
Child Health ◽  
Health Facility ◽  
Maternal And Child Health ◽  
Gold Standard ◽  
Health Interventions ◽  
Household Surveys ◽  
Skilled Delivery ◽  
Improve Accuracy ◽  
Nationally Representative ◽  
And Child Health

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.

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