Sas 9.4 statistical analysis software

SAS 9.4 statistical analysis software (SAS Institute, Inc., Cary, North Carolina) was used to provide descriptive summary statistics (i.e., frequencies and percentages). Survey rating responses for participants, CHAPS nurse care managers, and PD specialists were reported as counts and percentages for individual items.
Open card sorting was used for grouping free text comments from participants about the Notebook and comments provided by stakeholders in the surveys. Two researchers (KIC, HCS) together examined comments for word similarities (generalizations in semantics, analogies, and metaphors), distilled them into items, and sorted these items into groups that were not pre-specified. They used their knowledge of healthcare and language to refine the sorts. For items on which they disagreed, they either came to a collaborative decision or placed the item into an “Other” category. Finally, they created names for themes and attributes of related items [54 (link), 55 (link)].

The AGReMA Checklist⁴⁰ was followed (Checklist S1). Frequency counts and percentages were used to describe categorical variables. Not having urgency syndrome and having high QoL (low depression and anxiety) were used as the reference category and adjusted relative risk of being awarded a disability pension was modeled. Level of significance was set at 5%, and all statistical tests were two‐sided. SAS CAUSALMED procedure (using SAS 9.4 statistical analysis software) and R‐package “mediation” (using RStudio v2022.07.2 Build 576 “Spotted Wakerobin”, RRID:SCR_000432) were used for the mediation analysis. All other statistical analyses were performed using SAS9.4 statistical analysis software (SAS Institute, RRID:SCR_008567).

SAS 9.4 statistical analysis software (SAS Institute, Inc., Cary, North Carolina) was used to generate descriptive summary statistics (i.e., frequencies, percentages, and standard deviations). Some frequencies were reported as both total number of items (e.g. notes, problem frequency) and number of unique participants involved. For descriptive purposes, closed card sorting (predefined categories) was used to group some nurse care manager activities into predefined categories. Card sorting is a method to categorize unique items into groups [52 (link), 53 ]. The statistician pulled the activity data from REDCap into an excel spread sheet. A nurse health services researcher (KIC) and physician (HCS), orally read and jointly examined the activity on each line, and then placed each item into one of the predetermined categories in another column on the excel spread sheet. For every disagreement, the categorization was discussed by the two researchers. Based on subject matter knowledge, each of these items was assigned to its respective group when agreement was reached.