Cross-Cutting Topics
- Limits of “Skills And Drills” Interventions to Improving Obstetric and Newborn Emergency Response: What More Do We Need to Learn?
A “skills and drills” intervention in 4 hospitals in Karnataka, India, produced modest improvement in provider knowledge and skills but not in actual response to obstetric and newborn emergencies. We explore possible explanations, which include (1) the need for a more intensive intervention; (2) other weaknesses in the health system; and (3) behavioral or organizational barriers related to hierarchical structures, roles, and team formation.
- Benefits and Limitations of a Community-Engaged Emergency Referral System in a Remote, Impoverished Setting of Northern Ghana
A low-cost emergency and communication transportation system used 3-wheeled motorcycles driven by trained community volunteers. Delivery referrals were redirected from health centers to hospitals capable of advanced services including cesarean deliveries, which was associated with reduced facility-based maternal mortality.
- Limited Effectiveness of a Skills and Drills Intervention to Improve Emergency Obstetric and Newborn Care in Karnataka, India: A Proof-of-Concept Study
Skills refresher training combined with emergency drills improved knowledge, skills, and confidence of providers but was not sufficient to improve diagnosis and management of maternal and newborn complications. Systems-level changes, including consistent availability of equipment and supplies, adequate human resource staffing, and supportive supervision, are likely needed to improve maternal and newborn outcomes.
- Referral Systems to Integrate Health and Economic Strengthening Services for People with HIV: A Qualitative Assessment in Malawi
Two types of referral systems were implemented in this low-resource context: (1) a simple paper-based system connecting clinical HIV and nutrition support to village savings and loans services, and (2) a complex mHealth-based system with more than 20 types of health, economic strengthening, livelihoods, and food security services. Clients reported the referrals improved their health and nutrition and ability to save money in both models but more with the simple model. Providers had difficulty using the mobile app under the mHealth system, even after repeated trainings, considerable ongoing technical assistance, and multiple rounds of revisions to the interface.
- A Review of 10 Years of Vasectomy Programming and Research in Low-Resource Settings
Reviewed areas included misconceptions and lack of knowledge among men, women, and providers; approaches to demand generation including community-based and mass media communications; service delivery innovations consisting of the no-scalpel vasectomy technique, whole-site training, cascade training, task shifting, and mobile outreach; and engagement of religious and community leaders to create an enabling environment.
- Mobile-Based Nutrition and Child Health Monitoring to Inform Program Development: An Experience From Liberia
Monitoring behavior using mobile phones at food distribution points allowed managers to rapidly adapt project activities. Self-reported breastfeeding, complementary feeding, and use of insecticide-treated nets improved. Applying the same methodology at the household level proved unsuccessful.
- Qualitative Assessment of the Application of a Discrete Choice Experiment With Community Health Workers in Uganda: Aligning Incentives With Preferences
Conducting a discrete choice experiment (DCE) with CHWs via survey versus interviews gave similar findings: the most appealing attributes for these CHWs were a bicycle, transportation refund, and mobile phone. To promote meaningful and valid results, particularly when applying DCEs to lower-literacy populations such as CHWs, DCEs should (1) use a small number of job attributes to facilitate comprehension, (2) choose attribute levels (e.g., mobile phone vs. no mobile phone) that are realistic yet show sufficient range, and (3) clearly define attributes and their levels.
- Effective LARC Providers: Moving Beyond Training (Republication)
Effective and productive providers are the key to successful provision of long-acting reversible contraceptives (LARCs). But LARCs demand more of providers than short-acting resupply methods. In addition to sound training, key elements to developing highly productive providers of LARCs include a thorough understanding of the service delivery system context; selecting providers with the most potential, especially from mid-level cadres; strong mentoring and supportive supervision; and attention to the supply chain and to demand-side support.
- Moving Medicine, Moving Minds: Helping Developing Countries Overcome Barriers to Outsourcing Health Commodity Distribution to Boost Supply Chain Performance and Strengthen Health Systems
Senegal and other developing countries are improving access to health commodities by outsourcing supply chain logistics to private providers. To achieve broader, lasting reform, we must support further adoption of the outsourced model; assist country-led cost-benefit analyses; and help governments build capacity to manage contracts and overcome other barriers.
- Using Qualitative Methods to Validate and Contextualize Quantitative Findings: A Case Study of Research on Sexual Behavior and Gender-Based Violence Among Young Swazi Women
Nesting qualitative data collection methods within quantitative studies improves results by assessing validity and providing depth and context. Using data from 3 sources from Swaziland, we triangulate qualitative and quantitative findings to highlight how different methodologies produce discrepant data regarding risky sexual behaviors among young women. We found that women reported similar numbers of lifetime sex partners in all sources, but the proportion reporting multiple and concurrent partnerships was several times higher in qualitative interviews. In addition, qualitative data can provide deeper understanding of how participants, such as those experiencing gender-based violence, understood the experiences behind the quantitative statistics.