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80 result(s) for "Huicho, Luis"
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Every Newborn: health-systems bottlenecks and strategies to accelerate scale-up in countries
Universal coverage of essential interventions would reduce neonatal deaths by an estimated 71%, benefit women and children after the first month, and reduce stillbirths. However, the packages with the greatest effect (care around birth, care of small and ill newborn babies), have low and inequitable coverage and are the most sensitive markers of health system function. In eight of the 13 countries with the most neonatal deaths (55% worldwide), we undertook a systematic assessment of bottlenecks to essential maternal and newborn health care, involving more than 600 experts. Of 2465 bottlenecks identified, common constraints were found in all high-burden countries, notably regarding the health workforce, financing, and service delivery. However, bottlenecks for specific interventions might differ across similar health systems. For example, the implementation of kangaroo mother care was noted as challenging in the four Asian country workshops, but was regarded as a feasible aspect of preterm care by respondents in the four African countries. If all high-burden countries achieved the neonatal mortality rates of their region's fastest progressing countries, then the mortality goal of ten or fewer per 1000 livebirths by 2035 recommended in this Series and the Every Newborn Action Plan would be exceeded. We therefore examined fast progressing countries to identify strategies to reduce neonatal mortality. We identified several key factors: (1) workforce planning to increase numbers and upgrade specific skills for care at birth and of small and ill newborn babies, task sharing, incentives for rural health workers; (2) financial protection measures, such as expansion of health insurance, conditional cash transfers, and performance-based financing; and (3) dynamic leadership including innovation and community empowerment. Adapting from the 2005 Lancet Series on neonatal survival and drawing on this Every Newborn Series, we propose a country-led, data-driven process to sharpen national health plans, seize opportunities to address the quality gap for care at birth and care of small and ill newborn babies, and systematically scale up care to reach every mother and newborn baby, particularly the poorest.
Indigenous communities’ responses to the COVID-19 pandemic and consequences for maternal and neonatal health in remote Peruvian Amazon: a qualitative study based on routine programme supervision
AimTo explore indigenous communities’ responses to the COVID-19 pandemic and its consequences for maternal and neonatal health (MNH) care in the Peruvian Amazon.MethodsMamás del Río is a community-based, MNH programme with comprehensive supervision covering monthly meetings with community health workers (CHW), community leaders and health facilities. With the onset of the lockdown, supervisors made telephone calls to discuss measures against COVID-19, governmental support, CHW activities in communities and provision of MNH care and COVID-19 preparedness at facilities. As part of the programme’s ongoing mixed methods evaluation, we analysed written summaries of supervisor calls collected during the first 2 months of Peru’s lockdown.ResultsBetween March and May 2020, supervisors held two rounds of calls with CHWs and leaders of 68 communities and staff from 17 facilities. Most communities banned entry of foreigners, but about half tolerated residents travelling to regional towns for trade and social support. While social events were forbidden, strict home isolation was only practised in a third of communities as conflicting with daily routine. By the end of April, first clusters of suspected cases were reported in communities. COVID-19 test kits, training and medical face masks were not available in most rural facilities. Six out of seven facilities suspended routine antenatal and postnatal consultations while two-thirds of CHWs resumed home visits to pregnant women and newborns.ConclusionsHome isolation was hardly feasible in the rural Amazon context and community isolation was undermined by lack of external supplies and social support. With sustained community transmission, promotion of basic hygiene and mask use becomes essential. To avoid devastating effects on MNH, routine services at facilities need to be urgently re-established alongside COVID-19 preparedness plans. Community-based MNH programmes could offset detrimental indirect effects of the pandemic and provide an opportunity for local COVID-19 prevention and containment.
Drivers of the reduction in childhood diarrhea mortality 1980-2015 and interventions to eliminate preventable diarrhea deaths by 2030
Childhood diarrhea deaths have declined more than 80% from 1980 to 2015, in spite of an increase in the number of children in low- and middle-income countries (LMIC). Possible drivers of this remarkable accomplishment can guide the further reduction of the half million annual child deaths from diarrhea that still occur. We used the Lives Saved Tool, which models effects on mortality due to changes in coverage of preventive or therapeutic interventions or risk factors, for 50 LMIC to determine the proximal drivers of the diarrhea mortality reduction. Diarrhea treatment (oral rehydration solution [ORS], zinc, antibiotics for dysentery and management of persistent diarrhea) and use of rotavirus vaccine accounted for 49.7% of the diarrhea mortality reduction from 1980 to 2015. Improvements in nutrition (stunting, wasting, breastfeeding practices, vitamin A) accounted for 38.8% and improvements in water, sanitation and handwashing for 11.5%. The contribution of ORS was greater from 1980 to 2000 (58.0% of the reduction) than from 2000 to 2015 (30.7%); coverage of ORS increased from zero in 1980 to 29.5% in 2000 and more slowly to 44.1% by 2015. To eliminate the remaining childhood diarrhea deaths globally, all these interventions will be needed. Scaling up diarrhea treatment and rotavirus vaccine, to 90% coverage could reduce global child diarrhea mortality by 74.1% from 2015 levels by 2030. Adding improved nutrition could increase that to 89.1%. Finally, adding increased use of improved water sources, sanitation and handwashing could result in a 92.8% reduction from the 2015 level. Employing the interventions that have resulted in such a large reduction in diarrhea mortality in the last 35 years can virtually eliminate remaining childhood diarrhea deaths by 2030.
RCPNEOPERU trial: a cluster randomized pilot trial to assess traditional neonatal resuscitation compared to partially virtual training in remote areas
To assess the effects of a neonatal resuscitation training program using traditional training and partial distance learning. Through an open cluster-randomized trial, the authors compared a traditional approach involving face-to-face theory and practice sessions using information and communication technology to offer theory and distance examination, followed by face-to-face practice. Twelve health facilities were allocated by blocked randomization. Comparisons were made adjusting for clustering in qualitative and quantitative data. The primary outcome was the percentage of infants with heart rates ≥100 per minute at the second minute after birth. The authors performed a cluster-level analysis for cluster randomized trials, simplifying the adjustment for individual- and cluster-level covariates. The authors trained 403 health professionals in two arms in twelve facilities. After six months, the authors assessed 2180 birth deliveries, 966 newborns in the traditional training group (TT), and 1214 in the partial distance learning training group (pDL). The authors found no statistical evidence favoring any of the two trial arms (RR = 0.9859, CI 95 % = 0.9446; 1.0292, p = 0.4819). The authors found no statistical evidence favoring traditional or distance learning methods for neonatal resuscitation training. Further research could assess improved online platforms to enable sustainable virtual reality instructor/provider interaction for theory, practice and testing, addressed to health cadres of rural and remote areas.
Quality of care provided by mid-level health workers: systematic review and meta-analysis
To assess the effectiveness of care provided by mid-level health workers. Experimental and observational studies comparing mid-level health workers and higher level health workers were identified by a systematic review of the scientific literature. The quality of the evidence was assessed using Grading of Recommendations Assessment, Development and Evaluation criteria and data were analysed using Review Manager. Fifty-three studies, mostly from high-income countries and conducted at tertiary care facilities, were identified. In general, there was no difference between the effectiveness of care provided by mid-level health workers in the areas of maternal and child health and communicable and noncommunicable diseases and that provided by higher level health workers. However, the rates of episiotomy and analgesia use were significantly lower in women giving birth who received care from midwives alone than in those who received care from doctors working in teams with midwives, and women were significantly more satisfied with care from midwives. Overall, the quality of the evidence was low or very low. The search also identified six observational studies, all from Africa, that compared care from clinical officers, surgical technicians or non-physician clinicians with care from doctors. Outcomes were generally similar. No difference between the effectiveness of care provided by mid-level health workers and that provided by higher level health workers was found. However, the quality of the evidence was low. There is a need for studies with a high methodological quality, particularly in Africa - the region with the greatest shortage of health workers.
Comprehensive Health Insurance and access to maternal healthcare services among Peruvian women: a cross-sectional study using the 2021 national demographic survey
Background The government-subsidized health insurance scheme Seguro Integral de Salud (“SIS”) was introduced in Peru initially to provide coverage to uninsured and poor pregnant women and children under five years old and was later extended to cover all uninsured members of the population following the Peruvian Plan Esencial de Aseguramiento Universal – “PEAS” (Essential UHC Package). Our study aimed to analyze the extent to which the introduction of SIS has increased equity in access and quality by comparing the utilization of maternal healthcare services among women with different insurance coverages. Methods Relying on the 2021 round of the nationally-representative survey “ENDES” ( Encuesta Nacional Demográfica y de Salud Familiar ), we analyzed data for 19,181 women aged 15–49 with a history of pregnancy in the five years preceding the survey date. We used a series of logistic regressions to explore the association between health insurance coverage (defined as No Insurance, SIS, or Standard Insurance) and a series of outcome variables measuring access to and quality of all services along the available maternal healthcare continuum. Results Only 46.5% of women across all insurance schemes reported having accessed effective ANC prevention. Findings from the adjusted logistic regression confirmed that insured women were more likely to have accessed ANC services compared with uninsured women. Our findings indicate that women in the “SIS” group were more likely to have accessed six ANC visits (aOR = 1.40; 95% CI 1.14–1.73) as well as effective ANC prevention (aOR = 1.32; 95% CI 1.17–1.48), ANC education (aOR = 1.59; 95% CI 1.41–1.80) and ANC screening (aOR = 1.46; 95% CI 1.27–1.69) during pregnancy, compared with women in the “Standard Insurance” group [aOR = 1.35 (95% CI 1.13–1.62), 1.22 (95% CI 1.04–1.42), 1.34 (95% CI 1.18–1.51) and 1.31(95% CI 1.15–1.49)] respectively. In addition, women in the “Standard Insurance” group were more likely to have received skilled attendance at birth (aOR = 2.17, 95% CI 1.33–3.55) compared with the women in the “SIS” insurance group (aOR = 2.12; 95% CI 1.41–3.17). Conclusions Our findings indicate the persistence of inequities in access to maternal healthcare services that manifest themselves not only in the reduced utilization among the uninsured, but also in the lower quality of service coverage that uninsured women received compared with women insured under “Standard Insurance” or “SIS”. Further policy reforms are needed both to expand insurance coverage and to ensure that all women receive the same access to care irrespective of their specific insurance coverage.
Geographic inequalities in health intervention coverage – mapping the composite coverage index in Peru using geospatial modelling
Background The composite coverage index (CCI) provides an integrated perspective towards universal health coverage in the context of reproductive, maternal, newborn and child health. Given the sample design of most household surveys does not provide coverage estimates below the first administrative level, approaches for achieving more granular estimates are needed. We used a model-based geostatistical approach to estimate the CCI at multiple resolutions in Peru. Methods We generated estimates for the eight indicators on which the CCI is based for the departments, provinces, and areas of 5 × 5 km of Peru using data from two national household surveys carried out in 2018 and 2019 plus geospatial covariates. Bayesian geostatistical models were fit using the INLA-SPDE approach. We assessed model fit using cross-validation at the survey cluster level and by comparing modelled and direct survey estimates at the department-level. Results CCI coverage in the provinces along the coast was consistently higher than in the remainder of the country. Jungle areas in the north and east presented the lowest coverage levels and the largest gaps between and within provinces. The greatest inequalities were found, unsurprisingly, in the largest provinces where populations are scattered in jungle territory and are difficult to reach. Conclusions Our study highlighted provinces with high levels of inequality in CCI coverage indicating areas, mostly low-populated jungle areas, where more attention is needed. We also uncovered other areas, such as the border with Bolivia, where coverage is lower than the coastal provinces and should receive increased efforts. More generally, our results make the case for high-resolution estimates to unveil geographic inequities otherwise hidden by the usual levels of survey representativeness.
SARS-CoV-2 infection and complicated appendicitis in adults in Lima, Peru: a matched case-control study
Background Acute appendicitis may be uncomplicated or may present with life threatening complications. Since the outbreak of the COVID-19 pandemic, there has been an increase in the number of cases of complicated appendicitis, suggesting a possible association between them. Therefore, we aimed to determine the association between SARS-CoV-2 infection and complicated appendicitis in surgical patients in Lima, Peru, from March 2020 to December 2021. Methods A matched case-control study was conducted. Clinical records of patients ≥ 18 years old who underwent surgery for appendicitis and had at least one positive SARS-CoV-2 diagnostic test were selected. Patients undergoing surgery for complicated appendicitis were considered cases, and patients undergoing surgery for uncomplicated appendicitis were controls. A 1:1 matching by sex, age, and month of surgery was performed. Conditional logistic regression modeling was performed to calculate crude and adjusted conditional odds ratios (cOR). Results The positivity rate for COVID-19 tests was 73.6% for cases and 26.4% for controls. The crude cOR was 4.88 (95% IC 2.89–8.23, p  < 0.001), and the adjusted cOR was 3.52 (95%IC 1.82–6.81, p  = 0.001), after controlling for onset time of symptoms and awaiting time before surgery. Conclusions Surgery for complicated appendicitis was associated with SARS-CoV-2 infection. Patients with this infection may be at higher risk of complicated appendicitis and thus may need additional clinical monitoring.
The impact COVID-19 pandemic on coverage and inequalities in childhood immunization in Peru
Background We examined the impact of COVID-19 on childhood immunization coverage and inequalities in Peru, focusing on pentavalent, rotavirus, and pneumococcal (PCV) vaccines. Since the 1990s, Peru has worked to improve childhood vaccine coverage, but the COVID-19 pandemic posed significant challenges to the health system. Methods We analysed data from nationally representative health surveys conducted annually between 2015 and 2023. The surveys measured vaccine coverage among children aged 18–29 months, namely three doses for pentavalent and PCV and two doses for the rotavirus vaccine, based on data from home-based records. We studied inequalities at the individual child level using the slope index of inequality (SII) based on household wealth quintiles. Results In 2019, the home-based record coverage levels for pentavalent, PCV and rotavirus vaccines were 78.0%, 74.5%, and 75.9%, respectively. In 2020, these rates dropped significantly due to pandemic disruptions: PCV and pentavalent coverage fell by 14% points, and rotavirus by 12 points. By 2021, coverage levels improved, returning to pre-pandemic rates by 2022 and 2023. Individual-level analyses showed that pro-rich inequalities were present during the full study period, but these increased sharply during the pandemic in 2020, with poorer children experiencing more significant drops in coverage than wealthier children. This trend reversed by 2021 and 2022 when inequality measures returned to pre-pandemic levels. Due to reasons that are still unclear, inequality increased again in 2023. Nevertheless, the confidence intervals for the summary inequality measures are wide and must be interpreted cautiously. Conclusions The COVID-19 pandemic temporarily disrupted Peru’s childhood immunization efforts, particularly affecting poorer populations, but coverage rebounded to pre-pandemic levels by 2022. These findings contribute to the scant literature on the pandemic’s impact on vaccine equity.
Global strategies and local implementation of health and health-related SDGs: lessons from consultation in countries across five regions
Evidence on early achievements, challenges and opportunities would help low-income and middle-income countries (LMICs) accelerate implementation of health and health-related sustainable development goals (HHSDGs). A series of country-specific and multicountry consultative meetings were conducted during 2018–2019 that involved 15 countries across five regions to determine the status of implementation of HHSDGs. Almost 120 representatives from health and non-health sectors participated. The assessment relied on a multidomain analytical framework drawing on existing public health policy frameworks. During the first 5 years of the sustainable development goals (SDGs) era, participating LMICs from South and Central Asia, East Africa and Latin America demonstrated growing political commitment to HHSDGs, with augmentation of multisectoral institutional arrangements, strengthening of monitoring systems and engagement of development partners. On the other hand, there has been limited involvement of civic society representatives and academia, relatively few capacity development initiatives were in place, a well-crafted communication strategy was missing, and there is limited evidence of additional domestic financing for implementing HHSDGs. While the momentum towards universal health coverage is notable, explicit linkages with non-health SDGs and integrated multisectoral implementation strategies are lacking. The study offers messages to LMICs that would allow for a full decade of accelerated implementation of HHSDGs, and points to the need for more implementation research in each domain and for testing interventions that are likely to work before scale-up.