We recommend using a qualitative analysis software package (e.g., Atlas.ti) to file and organize the data. These activities include performing data reduction, creating data displays, and formulating and verifying conclusions drawn from the data. A variety of qualitative techniques can be employed to draw conclusions from the data (e.g., noting patterns, themes, and plausibility; noting relations between variables; finding intervening variables) and protect against bias by testing and confirming findings (e.g., ensuring the basic quality of the data, checking findings by examining exceptions, testing explanations); (see Miles and Huberman  Miles and Huberman  for an extensive discussion of these techniques). One type of data reduction process involves developing a coding list for expected findings, then revising the coding scheme based on actual interviews. Ideally, the data will be coded and assessed for inter-rater reliability. Finally, we recommend comparing the data obtained by the three different subgroups to identify key similarities and differences by respondent group. For example, are the types of support needed by employers similar or different from that needed by pharmacists and SHIPs?