Table 2.

Type of Data Extracted

1) Aim or purpose of the article

2) Type of article: systematic review, quantitative study, qualitative study, commentary, theoretical, grey literature, other

3) Category of outcome: name of quantitative outcome or qualitative finding

4) Specific details on results/findings

5) Relevancy: 1 = very relevant to case management functions, 2 = very relevant to identifying critical community resources, 3 = very relevant to identifying barriers and facilitators to case management, 4 = very relevant to local context but content not as relevant, 5 = interesting but not directly relevant, 6 = not that relevant

6) If-then statements were used to help extract data in the form of explanatory accounts. Configuring if-then statements at the time of data extraction provided a way for the team to initiate new hypotheses, and informed program theory refinement in later stages.