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  1. Article ; Online: The Humanitarian Lives Saved Tool: An evidence-based approach for reproductive, maternal, newborn, and child health program planning in humanitarian settings.

    Chou, Victoria B / Stegmuller, Angela / Vaughan, Kelsey / Spiegel, Paul B

    Journal of global health

    2021  Volume 11, Page(s) 3102

    MeSH term(s) Child ; Child Health ; Child Mortality ; Humans ; Infant Mortality ; Infant, Newborn
    Language English
    Publishing date 2021-11-27
    Publishing country Scotland
    Document type Journal Article ; Review
    ZDB-ID 2741629-X
    ISSN 2047-2986 ; 2047-2986
    ISSN (online) 2047-2986
    ISSN 2047-2986
    DOI 10.7189/jogh.11.03102
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Impact of COVID-19 on maternal and child health - Authors' reply.

    Chou, Victoria B / Carter, Emily D / Sawadogo-Lewis, Talata

    The Lancet. Global health

    2020  Volume 8, Issue 10, Page(s) e1260

    MeSH term(s) Betacoronavirus ; COVID-19 ; Child ; Child Health ; Child Mortality ; Coronavirus Infections ; Developing Countries ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-08-03
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2723488-5
    ISSN 2214-109X ; 2214-109X
    ISSN (online) 2214-109X
    ISSN 2214-109X
    DOI 10.1016/S2214-109X(20)30322-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reducing inequities in maternal and child health in rural Guatemala through the CBIO+ Approach of Curamericas: 5. Mortality assessment.

    Perry, Henry B / Stollak, Ira / Llanque, Ramiro / Okari, Annah / Westgate, Carey C / Shindhelm, Alexis / Chou, Victoria B / Valdez, Mario

    International journal for equity in health

    2023  Volume 21, Issue Suppl 2, Page(s) 198

    Abstract: Background: The Curamericas/Guatemala Maternal and Child Health Project, 2011-2015, implemented the Census-Based, Impact-Oriented Approach, the Care Group Approach, and the Community Birthing Center Approach. Together, this expanded set of approaches is ...

    Abstract Background: The Curamericas/Guatemala Maternal and Child Health Project, 2011-2015, implemented the Census-Based, Impact-Oriented Approach, the Care Group Approach, and the Community Birthing Center Approach. Together, this expanded set of approaches is known as CBIO+. This is the fifth of 10 papers in our supplement describing the Project and the effectiveness of the CBIO+ Approach. This paper assesses causes, levels, and risk factors for mortality along with changes in mortality.
    Methods: The Project maintained Vital Events Registers and conducted verbal autopsies for all deaths of women of reproductive age and under-5 children. Mortality rates and causes of death were derived from these data. To increase the robustness of our findings, we also indirectly estimated mortality decline using the Lives Saved Tool (LiST).
    Findings: The leading causes of maternal and under-5 mortality were postpartum hemorrhage and pneumonia, respectively. Home births were associated with an eight-fold increased risk of both maternal (p = 0.01) and neonatal (p = 0.00) mortality. The analysis of vital events data indicated that maternal mortality declined from 632 deaths per 100,000 live births in Years 1 and 2 to 257 deaths per 100,000 live birth in Years 3 and 4, a decline of 59.1%. The vital events data revealed no observable decline in neonatal or under-5 mortality. However, the 12-59-month mortality rate declined from 9 deaths per 1000 live births in the first three years of the Project to 2 deaths per 1000 live births in the final year. The LiST model estimated a net decline of 12, 5, and 22% for maternal, neonatal and under-5 mortality, respectively.
    Conclusion: The baseline maternal mortality ratio is one of the highest in the Western hemisphere. There is strong evidence of a decline in maternal mortality in the Project Area. The evidence of a decline in neonatal and under-5 mortality is less robust. Childhood pneumonia and neonatal conditions were the leading causes of under-5 mortality. Expanding access to evidence-based community-based interventions for (1) prevention of postpartum hemorrhage, (2) home-based neonatal care, and (3) management of childhood pneumonia could help further reduce mortality in the Project Area and in similar areas of Guatemala and beyond.
    MeSH term(s) Child ; Infant, Newborn ; Pregnancy ; Humans ; Female ; Child Health ; Guatemala/epidemiology ; Postpartum Hemorrhage ; Censuses ; Family
    Language English
    Publishing date 2023-02-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2092056-8
    ISSN 1475-9276 ; 1475-9276
    ISSN (online) 1475-9276
    ISSN 1475-9276
    DOI 10.1186/s12939-022-01757-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Oxygen systems strengthening as an intervention to prevent childhood deaths due to pneumonia in low-resource settings: systematic review, meta-analysis and cost-effectiveness.

    Lam, Felix / Stegmuller, Angela / Chou, Victoria B / Graham, Hamish R

    BMJ global health

    2021  Volume 6, Issue 12

    Abstract: Objectives: Increasing access to oxygen services may improve outcomes among children with pneumonia living in low-resource settings. We conducted a systematic review to estimate the impact and cost-effectiveness of strengthening oxygen services in low- ... ...

    Abstract Objectives: Increasing access to oxygen services may improve outcomes among children with pneumonia living in low-resource settings. We conducted a systematic review to estimate the impact and cost-effectiveness of strengthening oxygen services in low-income and middle-income countries with the objective of including oxygen as an intervention in the Lives Saved Tool.
    Design: We searched EMBASE and PubMed on 31 March 2021 using keywords and MeSH terms related to 'oxygen', 'pneumonia' and 'child' without restrictions on language or date. The risk of bias was assessed for all included studies using the quality assessment tool for quantitative studies, and we assessed the overall certainty of the evidence using Grading of Recommendations, Assessment, Development and Evaluations. Meta-analysis methods using random effects with inverse-variance weights was used to calculate a pooled OR and 95% CIs. Programme cost data were extracted from full study reports and correspondence with study authors, and we estimated cost-effectiveness in US dollar per disability-adjusted life-year (DALY) averted.
    Results: Our search identified 665 studies. Four studies were included in the review involving 75 hospitals and 34 485 study participants. We calculated a pooled OR of 0.52 (95% CI 0.39 to 0.70) in favour of oxygen systems reducing childhood pneumonia mortality. The median cost-effectiveness of oxygen systems strengthening was $US62 per DALY averted (range: US$44-US$225). We graded the risk of bias as moderate and the overall certainty of the evidence as low due to the non-randomised design of the studies.
    Conclusion: Our findings suggest that strengthening oxygen systems is likely to reduce hospital-based pneumonia mortality and may be cost-effective in low-resource settings. Additional implementation trials using more rigorous designs are needed to strengthen the certainty in the effect estimate.
    MeSH term(s) Child ; Cost-Benefit Analysis ; Humans ; Oxygen ; Pneumonia/prevention & control
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2021-11-26
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
    ISSN 2059-7908
    ISSN 2059-7908
    DOI 10.1136/bmjgh-2021-007468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Impact of COVID-19 on maternal and child health – Authors' reply

    Chou, Victoria B / Carter, Emily D / Sawadogo-Lewis, Talata

    The Lancet Global Health

    2020  Volume 8, Issue 10, Page(s) e1260

    Keywords General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2723488-5
    ISSN 2214-109X
    ISSN 2214-109X
    DOI 10.1016/s2214-109x(20)30322-3
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Linking household surveys and health facility assessments to estimate intervention coverage for the Lives Saved Tool (LiST).

    Kanyangarara, Mufaro / Chou, Victoria B

    BMC public health

    2017  Volume 17, Issue Suppl 4, Page(s) 780

    Abstract: Background: Calls have been made for improved measurement of coverage for maternal, newborn and child health interventions. Recently, methods linking household and health facility surveys have been used to improve estimation of intervention coverage. ... ...

    Abstract Background: Calls have been made for improved measurement of coverage for maternal, newborn and child health interventions. Recently, methods linking household and health facility surveys have been used to improve estimation of intervention coverage. However, linking methods rely the availability of household and health facility surveys which are temporally matched. Because nationally representative health facility assessments are not yet routinely conducted in many low and middle income countries, estimates of intervention coverage based on linking methods can be produced for only a subset of countries. Estimates of intervention coverage are a critical input for modelling the health impact of intervention scale-up in the Lives Saved Tool (LiST). The purpose of this study was to develop a data-driven approach to estimate coverage for a subset of antenatal care interventions modeled in LiST.
    Methods: Using a five-step process, estimates of population level coverage for syphilis detection and treatment, case management of diabetes, malaria infection, hypertensive disorders, and pre-eclampsia, were computed by linking household and health facility surveys. Based on data characterizing antenatal care and estimates of coverage derived from the linking approach, predictive models for intervention coverage were developed. Updated estimates of coverage based on the predictive models were compared, first with current default proxies, then with estimates based on the linking approach. Model fit and accuracy were assessed using three measures: the coefficient of determination, Pearson's correlation coefficient, and the root mean square error (RMSE).
    Results: The ability to predict intervention coverage was fairly accurate across all interventions considered. Predictive models accounted for 20-63% of the variance in intervention coverages, and correlation coefficients ranged from 0.5 to 0.83. The predictive model used to estimate coverage of management of pre-eclampsia performed relatively better (RMSE = 0.11) than the model estimating coverage of diabetes case management (RMSE = 0.19).
    Conclusions: The new approach to estimate coverage represents an improvement over current default proxies in LiST. As the availability of reliable coverage data improves, impact estimates generated by LiST will improve. This study underscores the need for continued efforts to improve coverage measurement, while bringing to the fore the importance of health facility assessments as complementary data sources.
    Language English
    Publishing date 2017-11-07
    Publishing country England
    Document type Journal Article
    ISSN 1471-2458
    ISSN (online) 1471-2458
    DOI 10.1186/s12889-017-4743-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Estimating the global impact of poor quality of care on maternal and neonatal outcomes in 81 low- and middle-income countries: A modeling study.

    Chou, Victoria B / Walker, Neff / Kanyangarara, Mufaro

    PLoS medicine

    2019  Volume 16, Issue 12, Page(s) e1002990

    Abstract: Background: In low-resource settings where disease burdens remain high and many health facilities lack essentials such as drugs or commodities, functional equipment, and trained personnel, poor quality of care often results and the impact can be ... ...

    Abstract Background: In low-resource settings where disease burdens remain high and many health facilities lack essentials such as drugs or commodities, functional equipment, and trained personnel, poor quality of care often results and the impact can be profound. In this paper, we systematically quantify the potential gain of addressing quality of care globally using country-level data about antenatal, childbirth, and postnatal care interventions.
    Methods and findings: In this study, we created deterministic models to project health outcomes if quality of care was addressed in a representative sample of 81 low- and middle-income countries (LMICs). First, available data from health facility surveys (e.g., Service Provision Assessment [SPA] and Service Availability and Readiness Assessment [SARA]) conducted 2007-2016 were linked to household surveys (e.g., Demographic and Health Surveys [DHS] and Multiple Indicator Cluster Surveys [MICS]) to estimate baseline coverage for a core subset of 19 maternal and newborn health interventions. Next, models were constructed with the Lives Saved Tool (LiST) using country-specific baseline levels in countries with a linked dataset (n = 17) and sample medians applied as a proxy in countries without linked data. Lastly, these 2016 starting baseline levels were raised to reach targets in 2020 as endline based upon country-specific utilization (e.g., proportion of women who attended 4+ antenatal visits, percentage of births delivered in a health facility) from the latest DHS or MICS population-based reports. Our findings indicate that if high-quality health systems could effectively deliver this subset of evidence-based interventions to mothers and their newborns who are already seeking care, there would be an estimated 28% decrease in maternal deaths, 28% decrease in neonatal deaths, and 22% fewer stillbirths compared to a scenario without any change or improvement in quality of care. Totals of 86,000 (range, 77,800-92,400) maternal and 0.67 million (range, 0.59 million-0.75 million) neonatal lives could be saved, and 0.52 million (range, 0.48 million-0.55 million) stillbirths could be prevented across the 81 countries in the calendar year 2020 when adequate quality care is provided at current levels of utilization. Limitations include the paucity of data to individually assess quality of care for each intervention in all LMICs and the necessary assumption that quality of care being provided among the subset of countries with linked datasets is comparable or representative of LMICs overall.
    Conclusions: Our findings suggest that efforts to close the quality gap would still produce substantial benefits at current levels of access or utilization. With estimated mortality rate declines of 21%-32% on average, gains from this first step would be significant if quality was improved for selected antenatal, intrapartum, and postnatal interventions to benefit pregnant women and newborns seeking care. Interventions provided at or around the time of childbirth are most critical and accounted for 64% of the impact overall estimated in this quality improvement analysis.
    MeSH term(s) Delivery, Obstetric/statistics & numerical data ; Developing Countries/statistics & numerical data ; Female ; Health Facilities/statistics & numerical data ; Humans ; Infant ; Infant Mortality/trends ; Infant, Newborn ; Pregnancy ; Prenatal Care/statistics & numerical data ; Quality of Health Care/statistics & numerical data ; Stillbirth/epidemiology
    Language English
    Publishing date 2019-12-18
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2185925-5
    ISSN 1549-1676 ; 1549-1277
    ISSN (online) 1549-1676
    ISSN 1549-1277
    DOI 10.1371/journal.pmed.1002990
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Linking household surveys and health facility assessments to estimate intervention coverage for the Lives Saved Tool (LiST)

    Mufaro Kanyangarara / Victoria B. Chou

    BMC Public Health, Vol 17, Iss S4, Pp 75-

    2017  Volume 83

    Abstract: Abstract Background Calls have been made for improved measurement of coverage for maternal, newborn and child health interventions. Recently, methods linking household and health facility surveys have been used to improve estimation of intervention ... ...

    Abstract Abstract Background Calls have been made for improved measurement of coverage for maternal, newborn and child health interventions. Recently, methods linking household and health facility surveys have been used to improve estimation of intervention coverage. However, linking methods rely the availability of household and health facility surveys which are temporally matched. Because nationally representative health facility assessments are not yet routinely conducted in many low and middle income countries, estimates of intervention coverage based on linking methods can be produced for only a subset of countries. Estimates of intervention coverage are a critical input for modelling the health impact of intervention scale-up in the Lives Saved Tool (LiST). The purpose of this study was to develop a data-driven approach to estimate coverage for a subset of antenatal care interventions modeled in LiST. Methods Using a five-step process, estimates of population level coverage for syphilis detection and treatment, case management of diabetes, malaria infection, hypertensive disorders, and pre-eclampsia, were computed by linking household and health facility surveys. Based on data characterizing antenatal care and estimates of coverage derived from the linking approach, predictive models for intervention coverage were developed. Updated estimates of coverage based on the predictive models were compared, first with current default proxies, then with estimates based on the linking approach. Model fit and accuracy were assessed using three measures: the coefficient of determination, Pearson’s correlation coefficient, and the root mean square error (RMSE). Results The ability to predict intervention coverage was fairly accurate across all interventions considered. Predictive models accounted for 20–63% of the variance in intervention coverages, and correlation coefficients ranged from 0.5 to 0.83. The predictive model used to estimate coverage of management of pre-eclampsia performed relatively better (RMSE = 0.11) than ...
    Keywords Service provision assessment (SPA) ; Service availability and readiness assessment (SARA) ; Antenatal care (ANC) ; Lives saved tool (LiST) ; Public aspects of medicine ; RA1-1270
    Subject code 310
    Language English
    Publishing date 2017-11-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Estimating the global impact of poor quality of care on maternal and neonatal outcomes in 81 low- and middle-income countries

    Victoria B Chou / Neff Walker / Mufaro Kanyangarara

    PLoS Medicine, Vol 16, Iss 12, p e

    A modeling study.

    2019  Volume 1002990

    Abstract: Background In low-resource settings where disease burdens remain high and many health facilities lack essentials such as drugs or commodities, functional equipment, and trained personnel, poor quality of care often results and the impact can be profound. ...

    Abstract Background In low-resource settings where disease burdens remain high and many health facilities lack essentials such as drugs or commodities, functional equipment, and trained personnel, poor quality of care often results and the impact can be profound. In this paper, we systematically quantify the potential gain of addressing quality of care globally using country-level data about antenatal, childbirth, and postnatal care interventions. Methods and findings In this study, we created deterministic models to project health outcomes if quality of care was addressed in a representative sample of 81 low- and middle-income countries (LMICs). First, available data from health facility surveys (e.g., Service Provision Assessment [SPA] and Service Availability and Readiness Assessment [SARA]) conducted 2007-2016 were linked to household surveys (e.g., Demographic and Health Surveys [DHS] and Multiple Indicator Cluster Surveys [MICS]) to estimate baseline coverage for a core subset of 19 maternal and newborn health interventions. Next, models were constructed with the Lives Saved Tool (LiST) using country-specific baseline levels in countries with a linked dataset (n = 17) and sample medians applied as a proxy in countries without linked data. Lastly, these 2016 starting baseline levels were raised to reach targets in 2020 as endline based upon country-specific utilization (e.g., proportion of women who attended 4+ antenatal visits, percentage of births delivered in a health facility) from the latest DHS or MICS population-based reports. Our findings indicate that if high-quality health systems could effectively deliver this subset of evidence-based interventions to mothers and their newborns who are already seeking care, there would be an estimated 28% decrease in maternal deaths, 28% decrease in neonatal deaths, and 22% fewer stillbirths compared to a scenario without any change or improvement in quality of care. Totals of 86,000 (range, 77,800-92,400) maternal and 0.67 million (range, 0.59 million-0.75 million) ...
    Keywords Medicine ; R
    Subject code 360
    Language English
    Publishing date 2019-12-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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