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      Scaling up newborn care in Afghanistan: opportunities and challenges for the health sector

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          Most cited references39

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          Evidence-based, cost-effective interventions: how many newborn babies can we save?

          In this second article of the neonatal survival series, we identify 16 interventions with proven efficacy (implementation under ideal conditions) for neonatal survival and combine them into packages for scaling up in health systems, according to three service delivery modes (outreach, family-community, and facility-based clinical care). All the packages of care are cost effective compared with single interventions. Universal (99%) coverage of these interventions could avert an estimated 41-72% of neonatal deaths worldwide. At 90% coverage, intrapartum and postnatal packages have similar effects on neonatal mortality--two-fold to three-fold greater than that of antenatal care. However, running costs are two-fold higher for intrapartum than for postnatal care. A combination of universal--ie, for all settings--outreach and family-community care at 90% coverage averts 18-37% of neonatal deaths. Most of this benefit is derived from family-community care, and greater effect is seen in settings with very high neonatal mortality. Reductions in neonatal mortality that exceed 50% can be achieved with an integrated, high-coverage programme of universal outreach and family-community care, consisting of 12% and 26%, respectively, of total running costs, plus universal facility-based clinical services, which make up 62% of the total cost. Early success in averting neonatal deaths is possible in settings with high mortality and weak health systems through outreach and family-community care, including health education to improve home-care practices, to create demand for skilled care, and to improve care seeking. Simultaneous expansion of clinical care for babies and mothers is essential to achieve the reduction in neonatal deaths needed to meet the Millennium Development Goal for child survival.
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            New Signal Functions to Measure the Ability of Health Facilities to Provide Routine and Emergency Newborn Care

            Based upon an expert survey and consensus method, Sabine Gabrysch and colleagues recommend new signal functions to monitor and track facilities' provision of routine and emergency newborn care.
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              Determinants of skilled birth attendant utilization in Afghanistan: a cross-sectional study.

              We sought to identify characteristics associated with use of skilled birth attendants where health services exist in Afghanistan. We conducted a cross-sectional study in all 33 provinces in 2004, yielding data from 617 health facilities and 9917 women who lived near the facilities and had given birth in the past 2 years. Only 13% of respondents had used skilled birth attendants. Women from the wealthiest quintile (vs the poorest quintile) had higher odds of use (odds ratio [OR] = 6.3; 95% confidence interval [CI] = 4.4, 8.9). Literacy was strongly associated with use (OR = 2.5; 95% CI = 2.0, 3.2), as was living less than 60 minutes from the facility (OR = 1.5; 95% CI = 1.1, 2.0) and residing near a facility with a female midwife or doctor (OR = 1.4; 95% CI = 1.1, 1.8). Women living near facilities that charged user fees (OR = 0.8; 95% CI = 0.6, 1.0) and that had male community health workers (OR = 0.6; 95% CI = 0.5, 0.9) had lower odds of use. In Afghanistan, the rate of use of safe delivery care must be improved. The financial barriers of poor and uneducated women should be reduced and culturally acceptable alternatives must be considered.
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                Author and article information

                Journal
                Health Policy and Planning
                Oxford University Press (OUP)
                0268-1080
                1460-2237
                March 2018
                March 01 2018
                November 27 2017
                March 2018
                March 01 2018
                November 27 2017
                : 33
                : 2
                : 271-282
                Article
                10.1093/heapol/czx136
                29190374
                0f3974e8-09f5-4316-a47b-eff71d964830
                © 2017
                History

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