Imported "Evidence-Based" or Locally Grown Interventions: A False Dichotomy and Some Hard Choices in Implementation Science

Feasibility and Acceptability of the Modified Antiretroviral Treatment Access Study (MARTAS) Intervention Based on a Pilot Study in Ukraine

We conducted a pilot of the Modified Antiretroviral Treatment Access Study (MARTAS), a linkage to HIV treatment intervention, prior to implementing a multisite randomized controlled trial (RCT) in Ukraine. The objectives of the pilot were to assess the feasibility and acceptability of the MARTAS intervention among a small sample of adults recently diagnosed with HIV at specialty clinics in the Mykolaiv region of Ukraine in 2015. The adapted intervention consisted of up to 6 individual-level sessions with a linkage coordinator (nurse) over a 90-day period. Overall, 22 persons participated in the pilot. On average, participants received 4.2 sessions and 14 participants linked to HIV care within 3 months of study enrollment. All 18 participants who completed the acceptability survey expressed high satisfaction with their interaction with their linkage coordinator. The results of the pilot demonstrated feasibility and acceptability of the MARTAS intervention in advance of a larger scale RCT in Ukraine.

Using Systems Science to Inform Population Health Strategies in Local Health Departments: A Case Study in San Antonio, Texas

OBJECTIVES

Because of state and federal health care reform, local health departments play an increasingly prominent role leading and coordinating disease prevention programs in the United States. This case study shows how a local health department working in chronic disease prevention and management can use systems science and evidence-based decision making to inform program selection, implementation, and assessment; enhance engagement with local health systems and organizations; and possibly optimize health care delivery and population health.

METHODS

The authors built a systems-science agent-based simulation model of diabetes progression for the San Antonio Metropolitan Health District, a local health department, to simulate health and cost outcomes for the population of San Antonio for a 20-year period (2015-2034) using 2 scenarios: 1 in which hemoglobin A1c (HbA1c) values for a population were similar to the current distribution of values in San Antonio, and the other with a hypothetical 1-percentage-point reduction in HbA1c values.

RESULTS

They projected that a 1-percentage-point reduction in HbA1c would lead to a decrease in the 20-year prevalence of end-stage renal disease from 1.7% to 0.9%, lower extremity amputation from 4.6% to 2.9%, blindness from 15.1% to 10.7%, myocardial infarction from 23.8% to 17.9%, and stroke from 9.8% to 7.2%. They estimated annual direct medical cost savings (in 2015 US dollars) from reducing HbA1c by 1 percentage point ranging from $6842 (myocardial infarction) to $39 800 (end-stage renal disease) for each averted case of diabetes complications.

CONCLUSIONS

Local health departments could benefit from the use of systems science and evidence-based decision making to estimate public health program effectiveness and costs, calculate return on investment, and develop a business case for adopting programs.