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. 2014 Oct 22;15:401. doi: 10.1186/1745-6215-15-401

Table 3.

Process variables collected for the process evaluation of a multicomponent dyadic intervention study according to Reelick and colleagues [15]

Process measures Process variables
Study population
1. Recruitment and selection rate a) Number of eligible persons in screened population
b) Number of dyads from the sample of eligible persons
c) Number of dyads versus aimed number
2. Barriers and facilitators in recruitment and selection process a) Difference in baseline characteristics between nonparticipating and participating eligible dyads
b) Motivation of nonparticipating and participating eligible dyads
c) Experience with recruitment and selection
3. Follow-up: attrition rate Number of dyads completing follow-up versus number started
4. Barriers and facilitators for follow-up Reasons for drop-out and motivation for continued participation
Multiple components
1. Quality of delivery of the interventional components a) The part of each component and the home visits delivered by the coaches
b) Satisfaction with delivery of home visits
2. Barriers and facilitators for delivery of interventional components Reasons for diverging from or applying intervention components
3. Adherence to interventional components a) Number of home visits followed
b) Intervention components (partly) followed
c) Homework adherence
4. Barriers and facilitators for adherence to interventional components Motivation for (lack of) attendance and compliance
5. Experience of participants and instructors with interventional components a) Perceived benefit
b) Strong and weak aspects of the interventional components and total intervention
Data acquisition
1. Outcome measures: coverage of interventional components Average number of outcomes per component
2. Completeness of data collection a) Number and characteristics of missing data
b) Feasibility of outcome measures
c) Reasons why data were missing
3. Barriers and facilitators for data collection Comparison of qualitative and quantitative effectiveness data