Dimension	Factors	Hypothesis on how the factors may impact outcomes
Targeted patient	Demographic characteristics (e.g. age, race, ethnicity, education)	Patients with higher level of socioeconomic status (e.g. well‐educated, high income, less vulnerable) might benefit more from the intervention.
	Medical history (e.g. different diseases and/or complications)	Intervention might be optimally performed in patients with more serious and acute conditions.
Intervention	Oriented pattern (e.g. government‐oriented vs hospital‐oriented)	Government‐oriented intervention might be more effective in coordination of care than the hospital‐oriented intervention, as the former is policy‐driven and has larger coverage.
	Intervention strategies (e.g. different types, different settings)	Interventions that are more problem‐centred, easier to operate, and target participants who play key role in care coordination, such as EMS dispatchers, may have better effect.
Healthcare system	National socioeconomic level (e.g. high‐income countries, middle‐income countries, low‐income countries)	Intervention might be more effective when it is implemented in countries or regions with a higher socioeconomic level.
	Resource distribution	Intervention might be more effective when it is implemented in countries or regions where medical resources are distributed less unequally.