Performance of passive case detection for malaria surveillance: results from nine countries in Mesoamerica and the Dominican Republic.

BACKGROUND: In malaria elimination settings, available metrics for malaria surveillance have been insufficient to measure the performance of passive case detection adequately. An indicator for malaria suspected cases with malaria test (MSCT) is proposed to measure the rate of testing on persons presenting to health facilities who satisfy the definition of a suspected malaria case. This metric does not rely on prior knowledge of fever prevalence, seasonality, or external denominators, and can be used to compare detection rates in suspected cases within and between countries, including across settings with different levels of transmission. METHODS: To compute the MSCT, an operational definition for suspected malaria cases was established, including clinical and epidemiological criteria. In general, suspected cases included: (1) persons with fever detected in areas with active malaria transmission; (2) persons with fever identified in areas with no active transmission and travel history to, or residence in areas with active transmission (either national or international); and (3) persons presenting with fever, chills and sweating from any area. Data was collected from 9 countries: Belize, Colombia (in areas with active transmission), Costa Rica, Dominican Republic, El Salvador, Guatemala, Honduras, Nicaragua, and Panama (September-March 2020). A sample of eligible medical records for 2018 was selected from a sample of health facilities in each country. An algorithm was constructed to assess if a malaria test was ordered or performed for cases that met the suspected case definition. RESULTS: A sample of 5873 suspected malaria cases was obtained from 239 health facilities. Except for Nicaragua and Colombia, malaria tests were requested in less than 10% of all cases. More cases were tested in areas with active transmission than areas without cases. Travel history was not systematically recorded in any country. CONCLUSIONS: A statistically comparable, replicable, and standardized metric was proposed to measure suspected malaria cases with a test (microscopy or rapid diagnostic test) that enables assessing the performance of passive case detection. Cross-country findings have important implications for malaria and infectious disease surveillance, which should be promptly addressed as countries progress towards malaria elimination. Local and easy-to-implement tools could be implemented to assess and improve passive case detection.

Implementing electronic decision-support tools to strengthen healthcare network data-driven decision-making.

BACKGROUND: Ministries of health in low- and middle-income countries often lack timely quality data for data-driven decision making in healthcare networks. We describe the design and implementation of decision-support electronic tools by the Ministry of Health of the State of Chiapas, in Mexico, as part of Salud Mesoamerica Initiative. METHODS: Three electronic decision-support tools were designed through an iterative process focused on streamlined implementation: 1) to collect and report health facility data at health facilities; 2) to compile and analyze data at health district and central level; and, 3) to support stratified sampling of health facilities. Data was collected for five composite indicators measuring availability of equipment, medicines, and supplies for maternal and child health. Quality Assurance Teams collected data, evaluated results and supported quality improvement. Data was also analyzed at the central level and health districts for decision-making. RESULTS: Data from 300 health facilities in four health districts was collected and analyzed (November 2014-June 2015). The first wave revealed gaps on availability of equipment and supplies in more than half of health facilities. Electronic tools provided the ministry of health officers new ways to visualize data, identify patterns and make hypothesis on root-causes. Between the first and second measurement, the number of missing items decreased, and actions performed by quality improvement teams became more proactive. In the final measurement, 89.7-100% of all health facilities achieved all the required items for each indicator. CONCLUSIONS: Our experience could help guide others seeking to implement electronic decision-support tools in low- and middle-income countries. Electronic decision-support tools supported data-driven decision-making by identifying gaps on heatmaps and graphs at the health facility, subdistrict, district or state level. Through a rapid improvement process, the Ministry of Health met targets of externally verified indicators. Using available information technology resources facilitated prompt implementation and adoption of technology.

Access and use of oxytocin for postpartum haemorrhage prevention: a pre-post study targeting the poorest in six Mesoamerican countries.

OBJECTIVES: Haemorrhage remains the leading cause of maternal mortality in Central America. The Salud Mesoamérica Initiative aims to reduce such mortality via performance indicators. Our objective was to assess the availability and administration of oxytocin, before and after applying Salud Mesoamérica Initiative interventions in the poorest health facilities across Central America. DESIGN: Pre-post study. SETTING: 166 basic-level and comprehensive-level health facilities in Belize, Guatemala, Honduras, Mexico, Nicaragua and Panama. PARTICIPANTS: A random sample of medical records for uncomplicated full-term deliveries (n=2470) per International Classification of Diseases coding at baseline (July 2011 to August 2013) and at first-phase follow-up (January 2014 to October 2014). INTERVENTIONS: A year of intervention implementation prior to first-phase follow-up data collection focused on improving access to oxytocin by strengthening supply chains, procurement, storage practices and pharmacy inventory monitoring, using a results-based financing model. PRIMARY AND SECONDARY OUTCOME MEASURES: Oxytocin availability (primary outcome) and administration (secondary outcome) for postpartum haemorrhage prevention. RESULTS: Availability of oxytocin increased from 82.9% to 97.6%. Oxytocin administration increased from 83.6% to 88.4%. Significant improvements were seen for availability of oxytocin (adjusted OR (aOR)=8.41, 95% CI 1.50 to 47.30). Administration of oxytocin was found to be significantly higher in Honduras (aOR=2.96; 95% CI 1.00 to 8.76) in reference to Guatemala at follow-up. CONCLUSION: After interventions to increase health facility supplies, the study showed a significant improvement in availability but not administration of oxytocin in poor communities within Mesoamerica. Efforts are needed to improve the use of oxytocin.

Methods to measure quality of care and quality indicators through health facility surveys in low- and middle-income countries.

OBJECTIVE: Present methods to measure standardized, replicable and comparable metrics to measure quality of medical care in low- and middle-income countries. DESIGN: We constructed quality indicators for maternal, neonatal and child care. To minimize reviewer judgment, we transformed criteria from check-lists into data points and decisions into conditional algorithms. Distinct criteria were established for each facility level and type of care. Indicators were linked to discharge diagnoses. We designed electronic abstraction tools using computer-assisted personal interviewing software. SETTING: We present results for data collected in the poorest areas of Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama and the state of Chiapas in Mexico (January-October 2014). RESULTS: We collected data from 12 662 medical records. Indicators show variations of quality of care between and within countries. Routine interventions, such as quality antenatal care (ANC), immediate neonatal care and postpartum contraception, had low levels of compliance. Records that complied with quality ANC ranged from 68.8% [confidence interval (CI):64.5-72.9] in Costa Rica to 5.7% [CI:4.0-8.0] in Guatemala. Less than 25% of obstetric and neonatal complications were managed according to standards in all countries. CONCLUSIONS: Our study underscores that, with adequate resources and technical expertise, collecting data for quality indicators at scale in low- and middle-income countries is possible. Our indicators offer a comparable, replicable and standardized framework to identify variations on quality of care. The indicators and methods described are highly transferable and could be used to measure quality of care in other countries.