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Table 1 Using an implementation outcomes framework described by Proctor et al. (2011) [3] to evaluate testing strategies in response to the Covid-19 pandemic

From: Using implementation science to mitigate worsening health inequities in the United States during the COVID-19 pandemic

Implementation outcomes

Definitions3

Evaluation of implementation strategies

Acceptability

Perception that the intervention is agreeable, palatable, or satisfactory

• Community attitudes towards testing

• Documented barriers and facilitators to testing from qualitative surveys and focus groups

Considered from the perspective of individuals receiving testing

• Input and feedback from community leaders and organizations (not involved in operations) about testing strategies

Adoption

The intention to employ or adhere to an intervention

• Number of testing sites and daily testing rate by site

Considered from the perspective of entities providing testing

• Testing strategies stratified by geographic location and entity

Appropriateness

Perceived fit, relevance, or compatibility of intervention for the given setting and problem

• Community and other stakeholders’ attitudes towards local testing strategies

• Document changes in testing strategies compared to original protocols

Feasibility

The extent to which an intervention can be successfully used or carried out in a particular setting

• Input and feedback from entities operating testing

• Availability of tests given demand (supply chain)

Fidelity

The degree to which an intervention was implemented as it was originally intended

• Number of improperly collected, transported, or handled samples

• Whether test results are returned promptly and confidentially

Cost

Cost impact of an implementation effort

• Overall and per-test costs across geographic areas and/or by organizations providing testing

Penetration (Reach)

Integration of intervention within a setting or its subsystems

• Number of tests, by test type, across key subgroupsa and representativeness of testing†

• Proportions of communities tested and percent-positive rates in a given time period

Sustainability (Maintenance)

How well an intervention is maintained over time within an organization or setting

• Maintenance of testing capacity and performance for population health over time and across key subgroupsab

  1. aKey subgroups: age, sex, race/ethnicity, language, geographic unit
  2. bExplore reasons for variability across key subgroups