Maternal and Perinatal Outcomes in Second Hemoglobin Measurement in Nonanemic Women at First Booking: Effect of Altitude of Residence in Peru

Objective. To determine changes in hemoglobin concentration at second measurements after a normal hemoglobin concentration was detected at first booking during pregnancy at low and at high altitudes. Methods. This is a secondary analysis of a large database obtained from the Perinatal Information System in Peru which includes 379,816 pregnant women and their babies from 43 maternity units in Peru. Results. Most women remained with normal hemoglobin values at second measurement (75.1%). However, 21.4% of women became anemic at the second measurement. In all, 2.8% resulted with moderate/severe anemia and 3.5% with erythrocytosis (Hb>14.5 g/dL). In all cases Hb was higher as altitude increased. Risk for moderate/severe anemia increased associated with higher gestational age at second measurement of hemoglobin, BMI <19.9 kg/m2, living without partner, <5 antenatal care visits, first parity, multiparity, and preeclampsia. Lower risk for moderate/severe anemia was observed with normal high Hb level at first booking living at moderate and high altitude, and high BMI. Conclusion. Prevalence of anemia increases as pregnancy progress, and that a normal value at first booking may not be considered sufficient as Hb values should be observed throughout pregnancy. BMI was a risk for anemia in a second measurement

The quantitative and qualitative contributions of faith-based organizations to healthcare: The Kenya case

Although faith based organizations (FBOs) have had a long presence teaching health personnel and delivering health services to many rural and remote populations in the developing world, their poor visibility for this work can be due to several factors. FBOs may keep a low profile, be confused with non-religious non-governmental organizations (NGOs), or be excluded from surveys because respondents may not know the affiliation of the healthcare facility from which they last received services. It has been argued that their large networks, logistics agreements with governments, and mission-driven stance bring them closer to the communities they serve and that their services have been a higher quality than average.Kenya has had a long history of established FBOs but there has also been substantial recent health investment by the government. We aimed to find the quantitative and qualitative contributions of FBOs by analyzing two recent data sources: the live web-based nationwide Master Health Facility List and the 2010 nationwide Service Provision Assessment (SPA) survey. Using this information, we found that FBOs contribute to 11% of all health facilities’ presence in the country, doubling to 23% of all available beds, indicating their relative strength in owning mid-level hospitals around the country.We also constructed an index of “readiness” as a weighted average from services offered, good management practices, and availability of medicines and commodities for 17 items assessed during the SPA survey. We found that FBOs topped the list of managing authorities, with 69 percent of their health facilities achieving such readiness, followed closely by the government at 68 percent, NGOs at 60 percent and lastly a distant private for-profit sector at 51 percent.These results seem to confirm that FBOs continue to contribute to an important proportion of health care coverage in Kenya and do so with a relatively high quality of care among all actors.It would be of interest to replicate this analysis with similar databases for other countries in the developing world

Lineamientos para una política efectiva de población en Perú: proyecciones realistas de población para el año 2000

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The Human Resources for Health Effort Index: a tool to assess and inform Strategic Health Workforce Investments

Abstract Background Despite its importance, the field of human resources for health (HRH) has lagged in developing methods to measure its status and progress in low- and middle-income countries suffering a workforce crisis. Measures of professional health worker densities and distribution are purely numerical, unreliable, and do not represent the full spectrum of workers providing health services. To provide more information on the multi-dimensional characteristics of human resources for health, in 2013–2014, the global USAID-funded CapacityPlus project, led by IntraHealth International, developed and tested a 79-item HRH Effort Index modeled after the widely used Family Planning Effort Index. Methods The index includes seven recognized HRH dimensions: Leadership and Advocacy; Policy and Governance; Finance; Education and Training; Recruitment, Distribution, and Retention; Human Resources Management; and Monitoring, Evaluation, and Information Systems. Each item is scored from 1 to 10 and scores are averaged with equal weights for each dimension and overall. The questionnaire is applied to knowledgeable informants from public, nongovernmental organization, and private sectors in each country. A pilot test among 49 respondents in Kenya and Nigeria provided useful information to improve, combine, and streamline questions. CapacityPlus applied the revised 50-item questionnaire in 2015 in Burkina Faso, Dominican Republic, Ghana, and Mali, among 92 respondents. Additionally, the index was applied subnationally in the Dominican Republic (16 respondents) and in a consensus-building meeting in Mali (43 respondents) after the national application. Results The results revealed a range of scores between 3.7 and 6.2 across dimensions, for overall scores between 4.8 and 5.5. Dimensions with lower scores included Recruitment, Distribution, and Retention, while Leadership and Advocacy had higher scores. Conclusions The tool proved to be well understood and provided key qualitative information on the health workforce to assist in health systems strengthening. It is expected that subsequent applications should provide more information for comparison purposes, to refine aspects of the questionnaire and to correlate scores with measures of service outputs and outcomes

Stated preferences of doctors for choosing a job in rural areas of Peru: a discrete choice experiment.

BACKGROUND: Doctors' scarcity in rural areas remains a serious problem in Latin America and Peru. Few studies have explored job preferences of doctors working in underserved areas. We aimed to investigate doctors' stated preferences for rural jobs. METHODS AND FINDINGS: A labelled discrete choice experiment (DCE) was performed in Ayacucho, an underserved department of Peru. Preferences were assessed for three locations: rural community, Ayacucho city (Ayacucho's capital) and other provincial capital city. Policy simulations were run to assess the effect of job attributes on uptake of a rural post. Multiple conditional logistic regressions were used to assess the relative importance of job attributes and of individual characteristics. A total of 102 doctors participated. They were five times more likely to choose a job post in Ayacucho city over a rural community (OR 4.97, 95%CI 1.2; 20.54). Salary increases and bonus points for specialization acted as incentives to choose a rural area, while increase in the number of years needed to get a permanent post acted as a disincentive. Being male and working in a hospital reduced considerably chances of choosing a rural job, while not living with a partner increased them. Policy simulations showed that a package of 75% salary increase, getting a permanent contract after two years in rural settings, and getting bonus points for further specialisation increased rural job uptake from 21% to 77%. A package of 50% salary increase plus bonus points for further specialisation would also increase the rural uptake from 21% to 52%. CONCLUSIONS: Doctors are five times more likely to favour a job in urban areas over rural settings. This strong preference needs to be overcome by future policies aimed at improving the scarcity of rural doctors. Some incentives, alone or combined, seem feasible and sustainable, whilst others may pose a high fiscal burden

Can the Perinatal Information System in Peru be used to measure the proportion of adverse birth outcomes attributable to maternal syphilis infection?

OBJECTIVE: To describe the capacity of Peru's Perinatal Information System (Sistema Informático Perinatal, SIP) to provide estimates for monitoring the proportion of stillbirths and other adverse birth outcomes attributable to maternal syphilis. METHODS: A descriptive study was conducted to assess the quality and completeness of SIP data from six Peruvian public hospitals that used the SIP continuously from 2000 - 2010 and had maternal syphilis prevalence of at least 0.5% during that period. In-depth interviews were conducted with Peruvian stakeholders about their experiences using the SIP. RESULTS: Information was found on 123 575 births from 2000 - 2010 and syphilis test results were available for 99 840 births. Among those 99 840 births, there were 1 075 maternal syphilis infections (1.1%) and 619 stillbirths (0.62%). Among women with syphilis infection in pregnancy, 1.7% had a stillbirth, compared to 0.6% of women without syphilis infection. Much of the information needed to estimate the proportion of stillbirths attributable to maternal syphilis was available in the SIP, with the exception of syphilis treatment information, which was not collected. However, SIP data collection is complex and time-consuming for clinicians. Data were unlinked across hospitals and not routinely used or quality-checked. Despite these limitations, the SIP data examined were complete and valid; in 98% of records, information on whether or not the infant was stillborn was the same in both the SIP and clinical charts. Nearly 89% of women had the same syphilis test result in clinical charts and the SIP. CONCLUSIONS: The large number of syphilis infections reported in Peru's SIP and the ability to link maternal characteristics to newborn outcomes make the system potentially useful for monitoring the proportion of stillbirths attributable to congenital syphilis in Peru. To ensure good data quality and sustainability of Peru's SIP, data collection should be simplified and information should be continually quality-checked and used for the benefit of participating facilities