Understanding drivers of domestic public expenditure on reproductive, maternal, neonatal and child health in Peru at district level: an ecological study.

BACKGROUND: Peru has increased substantially its domestic public expenditure in maternal and child health. Peruvian departments are heterogeneous in contextual and geographic factors, underlining the importance of disaggregated expenditure analysis up to the district level. We aimed to assess possible district level factors influencing public expenditure on reproductive, maternal, neonatal and child health (RMNCH) in Peru. METHODS: We performed an ecological study in 24 departments, with specific RMNCH expenditure indicators as outcomes, and covariates of different hierarchical dimensions as predictors. To account for the influence of variables included in the different dimensions over time and across departments, we chose a stepwise multilevel mixed-effects regression model, with department-year as the unit of analysis. RESULTS: Public expenditure increased in all departments, particularly for maternal-neonatal and child health activities, with a different pace across departments. The multilevel analysis did not reveal consistently influential factors, except for previous year expenditure on reproductive and maternal-neonatal health. Our findings may be explained by a combination of inertial expenditure, a results-based budgeting approach to increase expenditure efficiency and effectiveness, and by a mixed-effects decentralization process. Sample size, interactions and collinearity cannot be ruled out completely. CONCLUSIONS: Public district-level RMNCH expenditure has increased remarkably in Peru. Evidence on underlying factors influencing such trends warrants further research, most likely through a combination of quantitative and qualitative approaches.

Factors behind the success story of under-five stunting in Peru: a district ecological multilevel analysis.

BACKGROUND: Stunting prevalence in children less than 5 years has remained stagnated in Peru from 1992 to 2007, with a rapid reduction thereafter. We aimed to assess the role of different predictors on stunting reduction over time and across departments, from 2000 to 2012. METHODS: We used various secondary data sources to describe time trends of stunting and of possible predictors that included distal to proximal determinants. We determined a ranking of departments by annual change of stunting and of different predictors. To account for variation over time and across departments, we used an ecological hierarchical approach based on a multilevel mixed-effects regression model, considering stunting as the outcome. Our unit of analysis was one department-year. RESULTS: Stunting followed a decreasing trend in all departments, with differing slopes. The reduction pace was higher from 2007-2008 onwards. The departments with the highest annual stunting reduction were Cusco (-2.31%), Amazonas (-1.57%), Puno (-1.54%), Huanuco (-1.52%), and Ancash (-1.44). Those with the lowest reduction were Ica (-0.67%), Ucayali (-0.64%), Tumbes (-0.45%), Lima (-0.37%), and Tacna (-0.31%). Amazon and Andean departments, with the highest baseline poverty rates and concentrating the highest rural populations, showed the highest stunting reduction. In the multilevel analysis, when accounting for confounding, social determinants seemed to be the most important factors influencing annual stunting reduction, with significant variation between departments. CONCLUSIONS: Stunting reduction may be explained by the adoption of anti-poverty policies and sustained implementation of equitable crosscutting interventions, with focus on poorest areas. Inclusion of quality indicators for reproductive, maternal, neonatal and child health interventions may enable further analyses to show the influence of these factors. After a long stagnation period, Peru reduced dramatically its national and departmental stunting prevalence, thanks to a combination of social determinants and crosscutting factors. This experience offers useful lessons to other countries trying to improve their children's nutrition.

Parity and Overweight/Obesity in Peruvian Women.

INTRODUCTION: The rise in noncommunicable diseases and their risk factors in developing countries may have changed or intensified the effect of parity on obesity. We aimed to assess this association in Peruvian women using data from a nationally representative survey. METHODS: We used data from Peru's Demographic and Health Survey, 2012. Parity was defined as the number of children ever born to a woman. We defined overweight as having a body mass index (BMI, kg/m2) of 25.0 to 29.9 and obesity as a BMI ≥30.0. Generalized linear models were used to evaluate the association between parity and BMI and BMI categories, by area of residence and age, adjusting for confounders. RESULTS: Data from 16,082 women were analyzed. Mean parity was 2.25 (95% confidence interval [CI], 2.17-2.33) among rural women and 1.40 (95% CI, 1.36-1.43) among urban women. Mean BMI was 26.0 (standard deviation, 4.6). We found evidence of an association between parity and BMI, particularly in younger women; BMI was up to 4 units higher in rural areas and 2 units higher in urban areas. An association between parity and BMI categories was observed in rural areas as a gradient, being highest in younger women. CONCLUSION: We found a positive association between parity and overweight/obesity. This relationship was stronger in rural areas and among younger mothers.

Remaining missed opportunities of child survival in Peru: modelling mortality impact of universal and equitable coverage of proven interventions.

BACKGROUND: Peru has made great improvements in reducing stunting and child mortality in the past decade, and has reached the Millennium Development Goals 1 and 4. The remaining challenges or missed opportunities for child survival needs to be identified and quantified, in order to guide the next steps to further improve child survival in Peru. METHODS: We used the Lives Saved Tool (LiST) to project the mortality impact of proven interventions reaching every women and child in need, and the mortality impact of eliminating inequalities in coverage distribution between wealth quintiles and urban-rural residence. RESULTS: Our analyses quantified the remaining missed opportunities in Peru, where prioritizing scale-up of facility-based case management for all small and sick babies will be most effective in mortality reduction, compared to other evidenced-based interventions that prevent maternal and child deaths. Eliminating coverage disparities between the poorest quintiles and the richest will reduce under-five and neonatal mortality by 22.0 and 40.6 %, while eliminating coverage disparities between those living in rural and urban areas will reduce under-five and neonatal mortality by 29.3 and 45.2 %. This projected neonatal mortality reduction achieved by eliminating coverage disparities is almost comparable to that already achieved by Peru over the past decade. CONCLUSIONS: Although Peru has made great strides in improving child survival, further improvement in child health, especially in newborn health can be achieved if there is universal and equitable coverage of proven, quality health facility-based interventions. The magnitude of reduction in mortality will be similar to what has been achieved in the past decade. Strengthening health system to identify, understand, and direct resources to the poor and rural areas will ensure that Peru achieve the Sustainable Development Goals by 2030.

Examining national and district-level trends in neonatal health in Peru through an equity lens: a success story driven by political will and societal advocacy.

BACKGROUND: Peru has impressively reduced its neonatal mortality rate (NMR). We aimed, for the period 2000-2013, to: (a) describe national and district NMR variations over time; (b) assess NMR trends by wealth quintile and place of residence; (c) describe evolution of mortality causes; (d) assess completeness of registered mortality; (e) assess coverage and equity of NMR-related interventions; and (f) explore underlying driving factors. METHODS: We compared national NMR time trends from different sources. To describe NMR trends by wealth quintiles, place of residence and districts, we pooled data on births and deaths by calendar year for neonates born to women interviewed in multiple surveys. We disaggregated coverage of NMR-related interventions by wealth quintiles and place of residence. To identify success factors, we ran regression analyses and combined desk reviews with qualitative interviews and group discussions. RESULTS: NMR fell by 51 % from 2000 to 2013, second only to Brazil in Latin America. Reduction was higher in rural and poorest segments (52 and 58 %). District NMR change varied by source. Regarding cause-specific NMRs, prematurity decreased from 7.0 to 3.2 per 1,000 live births, intra-partum related events from 2.9 to 1.2, congenital abnormalities from 2.4 to 1.8, sepsis from 1.9 to 0.8, pneumonia from 0.9 to 0.4, and other conditions from 1.2 to 0.7. Under-registration of neonatal deaths decreased recently, more in districts with higher development index and lower rural population. Coverage of family planning, antenatal care and skilled birth attendance increased more in rural areas and in the poorest quintile. Regressions did not show consistent associations between mortality and predictors. During the study period social determinants improved substantially, and dramatic out-of-health-sector and health-sector changes occurred. Rural areas and the poorest quintile experienced greater NMR reduction. This progress was driven, within a context of economic growth and poverty reduction, by a combination of strong societal advocacy and political will, which translated into pro-poor implementation of evidence-based interventions with a rights-based approach. CONCLUSIONS: Although progress in Peru for reducing NMR has been remarkable, future challenges include closing remaining gaps for urban and rural populations and improving newborn health with qualified staff and intermediate- and intensive-level health facilities.

Factors behind job preferences of Peruvian medical, nursing and midwifery students: a qualitative study focused on rural deployment.

BACKGROUND: Deployment of health workforce in rural areas is critical to reach universal health coverage. Students' perceptions towards practice in rural areas likely influence their later choice of a rural post. We aimed at exploring perceptions of students from health professions about career choice, job expectations, motivations and potential incentives to work in a rural area. METHODS: In-depth interviews and focus groups were conducted among medical, nursing and midwifery students from universities of two Peruvian cities (Ica and Ayacucho). Themes for assessment and analysis included career choice, job expectations, motivations and incentives, according to a background theory a priori built for the study purpose. RESULTS: Preference for urban jobs was already established at this undergraduate level. Solidarity, better income expectations, professional and personal recognition, early life experience and family models influenced career choice. Students also expressed altruism, willingness to choose a rural job after graduation and potential responsiveness to incentives for practising in rural areas, which emerged more frequent from the discourse of nursing and midwifery students and from all students of rural origin. Medical students expressed expectations to work in large urban hospitals offering higher salaries. They showed higher personal, professional and family welfare expectations. Participants consistently favoured both financial and non-financial incentives. CONCLUSIONS: Nursing and midwifery students showed a higher disposition to work in rural areas than medical doctors, which was more evident in students of rural origin. Our results may be useful to improve targeting and selection of undergraduate students, to stimulate the inclination of students to choose a rural job upon graduation and to reorient school programmes towards the production of socially committed health professionals. Policymakers may also consider using our results when planning and implementing interventions to improve rural deployment of health professionals.

COVID-19 and drivers of excess death rate in Peru: A longitudinal ecological study.

Background: Peru has experienced unprecedented mortality and economic toll due to the COVID-19 (Coronavirus disease 2019) pandemic in 2020. We aimed to assess the association between socioeconomic factors and excess death rate, and to explore the relative contribution of these factors to the differences in excess death rate during January-December 2020. Methods: Different national secondary data sources were used to describe excess death rates and different determinants, from distal to proximal. A confounding-adjusted multilevel mixed-effects linear regression was used to assess the association between these variables and excess death rates. Their relative contributions to the differences in excess death rate between the periods with the highest and lowest excess death rates were analyzed through regression-based Oaxaca-Blinder decomposition methods. Findings: The excess death rate showed an increasing trend in all regions, with different slopes. The confounding-adjusted multilevel analysis showed that higher healthcare access was associated with lower excess death rates (difference (95%CI) -0.004 (-0.005, -0.002)), whereas COVID-19 incidence was associated with higher excess death rates (difference (95%CI) 0.052 (0.042, 0.063)). The decomposition analysis showed COVID-19 incidence (41.9%), per capita income (19.4%) and unemployment rate (14.6%) as the main risk factors, while the main protective factors included per capita health expenditure (44.7%), healthcare access (33.2%) and health insurance (12.1%). Interpretation: Our study suggests that the excess death rate during the COVID-19 pandemic in Peru may have been influenced by other factors besides COVID-19 incidence, from distal to proximal drivers, including socioeconomic determinants, factors outside and within the health sector, and susceptibility factors. Further studies at individual level are needed to corroborate our findings.

[Association between exclusive breastfeeding and obesity in children: a cross-sectional study of three Latin American countries]. / Asociación entre lactancia materna y probabilidad de obesidad en la infancia en tres países latinoamericanos.

OBJECTIVE: To determine if breastfeeding for at least the first six months of life is associated with overweight and obesity in children 2 to 5 years old. METHOD: Cross sectional analysis of data from national demographic and health surveys conducted in Bolivia, Colombia and Peru. Overweight and obesity were defined using World Health Organization standard definitions. Odds ratios (OR) were calculated using multinomial logistic regression. RESULTS: The prevalence of obesity in children 2 to 5 years old was 10.4% (95% confidence interval [95%CI]: 8.2-12.6) in Bolivia, 4.9% in Colombia (95%CI: 4.0-5.8), and 6.4% (95%CI: 5.2-8.0) in Peru. Prevalence of exclusive breastfeeding for at least the first 6 months in the study population was 89.9% (95%CI: 87.8-91.9) in Bolivia, 73.9% (95%CI: 72.2-75.6) in Colombia, and 92.8% (95%CI: 91.2-92.4) in Peru. Exclusive breastfeeding was associated with a decreased risk of obesity in children as compared to no breastfeeding or breastfeeding for less than 6 months in Bolivia (OR = .30; 95%CI: .16-.57) and a marginal association in Colombia (OR = .71; 95%CI: .47-1.06) and Peru (OR = .49; 95%CI: 0.23-1.04). No association between breastfeeding and overweight was found. CONCLUSION: Exclusive breastfeeding for at least the first six months of life decreases the risk of obesity in children 2 to 5 years old in Bolivia. A similar but weaker pattern was observed for children in Colombia and Peru.

Drivers of the progress achieved by Peru in reducing childhood diarrhoea mortality: a country case study.

BACKGROUND: Childhood diarrhoea mortality has declined substantially in Peru in recent decades. We documented trends in childhood diarrhoea mortality from 1980 to 2015, along with trends in coverage of diarrhoea-related interventions and risk factors, to identify the main drivers of mortality reduction. METHODS: We conducted desk reviews on social determinants, policies and programmes, and diarrhoea-related interventions implemented during the study period. We reviewed different datasets on child mortality, and on coverage of diarrhoea-related interventions. We received input from individuals familiar with implementation of diarrhoea-related policies and programmes. We used the Lives Saved Tool (LiST) to help explain the reasons for the decline in diarrhoea mortality from 1980 to 2015 and to predict additional reduction with further scale up of diarrhoea-related interventions by 2030. RESULTS: In Peru under-five diarrhoea mortality declined from 23.3 in 1980 to 0.8 per 1000 livebirths in 2015. The percentage of under-five diarrhoea deaths as related to total under-five deaths was reduced from 17.8% in 1980 to 4.9% in 2015. Gross domestic product increased and poverty declined from 1990 to 2015. Access to improved water increased from 56% in 1986 to 79.3% in 2015. Oral rehydrating salts (ORS) use during an episode of diarrhoea increased from 3.6% in 1986 to 32% in 2015. Vertical programmes focused on diarrhoea management with ORS were implemented successfully in the 1980s and 1990s, and were replaced by integrated crosscutting interventions since the early 2000s. LiST analyses showed that about half (53.9%) of the reduction in diarrhoea mortality could be attributed to improved water, sanitation and hygiene, 25.0% to direct diarrhoea interventions and 21.1% to nutrition. The remaining mortality could be reduced by three-quarters by 2030 with improved diarrhoea treatment and further with enhanced breastfeeding practices and reduction in stunting. LiST does not take into account the role of social determinants. CONCLUSIONS: The reduction of diarrhoeal under-five mortality in Peru can be explained by a combination of factors, including improvement of social determinants, child nutrition, diarrhoea treatment with ORS and prevention with rotavirus vaccine and increased access to water and sanitation. The already low rate of diarrhoea mortality could be further reduced by a number of interventions, especially additional use of ORS and zinc for diarrhoea treatment. Peru is a remarkable example of a country that was able to reduce childhood diarrhoea mortality by implementing interventions through vertical programmes initially, and afterwards through implementation of integrated multisectoral packages targeting prevalent illnesses and multi-causal problems like stunting.

Enabling reproductive, maternal, neonatal and child health interventions: Time trends and driving factors of health expenditure in the successful story of Peru.

We compared expenditure trends for reproductive, maternal, neonatal and child health (RMNCH) with trends in RMNCH service coverage in Peru. We used National Health Accounts data to report on total health expenditure by source; the Countdown database for trends in external funding to RMNCH, and Ministry of Finance data for trends in domestic funding to RMNCH. We undertook over 170 interviews and group discussions to explore factors explaining expenditure trends. We describe trends in total health expenditure and RMNCH expenditure in constant 2012 US$ between 1995 and 2012. We estimated expenditure to coverage ratios. There was a substantial increase in domestic health expenditure over the period. However, domestic health expenditure as share of total government spending and GDP remained stable. Out-of-pocket health spending (OOPS) as a share of total health expenditure remained above 35%, and increased in real terms. Expenditure on reproductive health per woman of reproductive age varied from US$ 1.0 in 2002 to US$ 6.3 in 2012. Expenditure on maternal and neonatal health per pregnant woman increased from US$ 34 in 2000 to US$ 512 in 2012, and per capita expenditure on under-five children increased from US$ 5.6 in 2000 to US$ 148.6 in 2012. Increased expenditure on RMNCH reflects a greater political support for RMNCH, along with greater emphasis on social assistance, family planning, and health reforms targeting poor areas, and a recent emphasis on antipoverty and crosscutting equitable policies and programmes focused on nutrition and maternal and neonatal mortality. Increasing domestic RMNCH expenditure likely enabled Peru to achieve substantial health gains. Peru can provide useful lessons to other countries struggling to achieve sustained gains in RMNCH by relying on their own health financing.

Child health and nutrition in Peru within an antipoverty political agenda: a Countdown to 2015 country case study.

BACKGROUND: Peru is an upper-middle-income country with wide social and regional disparities. In recent years, sustained multisectoral antipoverty programmes involving governments, political parties, and civil society have included explicit health and nutrition goals and spending increased sharply. We did a country case study with the aim of documenting Peru's progress in reproductive, maternal, neonatal, and child health from 2000-13, and explored the potential determinants. METHODS: We examined the outcomes of health interventions coverage, under-5 mortality, neonatal mortality, and prevalence of under-5 stunting. We obtained data from interviews with key informants, a literature review of published and unpublished data, national censuses, and governmental reports. We obtained information on social determinants of health, including economic growth, poverty, unmet basic needs, urbanisation, women's education, water supply, fertility rates, and child nutrition from the annual national households surveys and the Peruvian Demographic and Health Surveys. We obtained national mortality data from the Interagency Group for Child Mortality Estimation, and calculated subnational rates from 11 surveys. Analyses were stratified by region, wealth quintiles, and urban or rural residence. We calculated coverage indicators for the years 2000-13, and we used the Lives Saved Tool (LiST) to estimate the effect of changes in intervention coverage and in nutritional status on mortality. FINDINGS: From 2000 to 2013, under-5 mortality fell by 58% from 39·8 deaths per 1000 livebirths to 16·7. LiST, which was used to predict the decline in mortality arising from changes in fertility rates, water and sanitation, undernutrition, and coverage of indicators of reproductive, maternal, neonatal, and child health predicted that the under-5 mortality rate would fall from 39·8 to 28·4 per 1000 livebirths, accounting for 49·2% of the reported reduction. Neonatal mortality fell by 51% from 16·2 deaths per 1000 livebirths to 8·0. Stunting prevalence remained stable at around 30% until 2007, decreasing to 17·5% by 2013, and the composite coverage index for essential health interventions increased from 75·1% to 82·6%, with faster increases among the poor, in rural areas, and in the Andean region. Socioeconomic, urban-rural, and regional inequalities in coverage, mortality, and stunting were substantially reduced. The proportion of the population living below the poverty line reduced from 47·8% to 23·9%, women with fewer than 4 years of schooling reduced from 11·5% to 6·9%, urbanisation increased from 68·1% to 75·6%, and the total fertility rate decreased from 3·0 children per woman to 2·4. We interviewed 175 key informants and they raised the following issues: economic growth, improvement of social determinants, civil society empowerment and advocacy, out-of-health and within-health-sector changes, and sustained implementation of evidence-based, pro-poor reproductive, maternal, neonatal, and child health interventions. INTERPRETATION: Peru has made substantial progress in reducing neonatal and under-5 mortality, and child stunting. This country is a good example of how a combination of political will, economic growth, broad societal participation, strategies focused on poor people, and increased spending in health and related sectors can achieve significant progress in reproductive, maternal, neonatal, and child health. The remaining challenges include continuing to address inequalities in wealth distribution, poverty, and access to basic services, especially in the Amazon and Andean rural areas. FUNDING: Bill & Melinda Gates Foundation.

[Use and perceptions of information and communication technologies in patients with hypertension, dyslipidemia or diabetes in a national hospital in Lima, Peru]. / Uso y percepciones de las tecnologías de información y comunicación en pacientes con hipertensión arterial, dislipidemia o diabetes de un hospital nacional de Lima, Perú.

This study aimed to determine the use and perceptions towards information and communication technologies (ICT) in 206 patients with arterial hypertension, dyslipidemia and diabetes, recruited from the outpatient clinic in a national hospital in Lima, Peru. 54.4% were older adults and 70.4% were women. The use of daily phone calls was 44.7%. Most had never used a computer (78.2%), email (84%) or the Internet (84%). Many have never sent (80.6%) or received (69.9%) a text message. 70% had at some time forgotten to take their medicine. 72.8% would like to be reminded to take their medication and 67.9% had a family member who could help them with access to ICT. Despite the low use of ICT in this population, there is willingness and expectation from the patients to participate in programs that implement them.

[Demand for training and availability of health science professionals in Peru]. / Mercado de formación y disponibilidad de profesionales de ciencias de la salud en el Perú.

OBJECTIVES: To describe the availability and demand of professional training programs for eight health science professions in Peru. Study the profiles of the physicians, nurses and midwives that these programs train and their competencies to work at the primary health care level. MATERIALS AND METHODS: Cross-sectional study using data on the volume of applicants, students and graduates of these eight professional training programs during the period 2007 - 2011. In addition, the curricula of professional training programs for physicians, nurses and midwives from public and private universities were analyzed, along with competency profiles developed by Professional Colleges and the Ministry of Health. RESULTS: Admission rates in public and private universities vary by program: 4% and 28% respectively for medical schools, and 18% and 90% for nursing. Graduation rates were estimated at approximately 43% and 53% of students entering medicine and nursing training programs respectively. Contrasting the profiles of recently graduated professionals in medicine, nursing and midwifery, with the skills required by the Ministry of Health for professionals working in primary care the first level of care, indicate that these recently graduated professionals are not necessarily or specifically trained to work in primary care. CONCLUSIONS: Demand for professional training in health sciences exists and its supply is met predominantly by private universities. Competency profiles developed by the MOH for the basic professional health team in primary care shows a clear disconnect regarding the current supply of trained professionals.