Table 1.
Design element | Recommended when feasible | Complicates interpretation | Implications for intended use |
---|---|---|---|
| |||
Scope | Choose a breadth and depth that is feasible based on data availability and window of observation and yet tailored to satisfy specific reporting requirements or answer critical questions | Using all data in an exploratory fashion with no hypotheses or questions in mind. | Greater breadth/width may require more clinical services data across additional care settings. Depth may additionally allow for the inclusion of more patient characteristics to study demographics and comorbidity among vulnerable populations and associations with progression through stages. |
Window of Observation | Longitudinal | Cross-Sectional | Longitudinal CoCs*, whether prospective or retrospective, avoid the synthetic cohort assumption by following the same individuals over time as they go through the CoC, whereas cross-sectional designs require more assumptions and are thus more prone to biases |
Population | Single | Multiple | Data limitations or shortages of staff effort for more rigorous analyses may lead to multiple population studies but limitations in their interpretation should be made explicit for readers. |
Denominator-Numerator Linkage | Linked | Unlinked (typically a multiple populations design) | Unlinked designs may be helpful for monitoring broad trends in service delivery at the population level but cannot reflect the longitudinal outcomes of the same sample and may obscure barriers for successful progression across stages |
Denominator-Denominator Linkage | Linked (by definition a single population design) | Unlinked | Especially if unlinked, researchers and policymakers must be very clear in publishing and describing methodology and results to avoid misinterpretation of findings |
CoC = Cascade of Care; OUD = opioid use disorder.