Planning an effective study involves defining the target population, specifying an intervention, selecting appropriate outcome measures, and choosing the appropriate design.
In this study, we demonstrate an approach for evaluating the effects of an HHMP in the field, specifying an intervention theory for an ongoing HHMP in the context of the Danish dairy industry.
Two studies did not specify an intervention [ 37, 38], but rather elicited people's views on the principle of a workplace smoking cessation intervention.
Consideration is also given to who in a hospital might specify such an intervention, where the budget resides and where cost savings could be realised.
The WHO criteria on cost-effectiveness were used, which specify that an intervention is highly cost-effective if it averts a year of life lost for less than the national gross domestic product (GDP) per capita, cost-effective if 1 to 3 times the GDP per capita, and not cost-effective if greater than 3 times the GDP per capita [ 44].
Robust Inference on the Causal Effects of Stochastic Interventions under Two-Phase Sampling, with Applications in Vaccine Efficacy Trials: Much of the focus of statistical causal inference has been devoted to assessing the effects of static interventions, which specify a fixed contrast of counterfactual intervention values to evaluate a given causal effect.
In the four organisational studies that did not specify a theoretical framework, the intervention was presented as enhancing multidisciplinary teamwork.
Two research areas, thus, warrant further attention: first, identifying optimal components and delivery schedules, by adequately specifying the intervention protocols; second, conducting rigorous controlled trials that assess the durability of effects over extended time periods, with appropriate control conditions and a clear specification of primary and secondary outcomes.
Unfortunately, direct evidence comparing effectiveness and cost-effectiveness of a specified intervention for a particular disorder among the disadvantaged and non-disadvantaged populations is quite limited.
Few behavioural interventions specify a hypothesised mechanism of action of behaviour change techniques, and only a minority measure behaviour and its hypothesised determinants along a specified causal pathway.
These shortcomings are as follows: A key and all too common problem is the lack of precision in the research questions that are asked (e.g., the effect of a vaguely specified intervention on a wide range of vaguely specified outcomes).
