Jasper Faber

Feasibility and effects of an eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation 121 6 Table 6.2. Participant characteristics. Characteristic Intervention Group (n = 21) Control Group (n = 20) Sample (n = 41) Demographics Male, n (%) 17 (81) 16 (80) 33 (80) Age (years), median (IQR) 63 (13) 59 (13) 62 (14) Low education, n (%) 15 (71) 18 (90) 33 (80) Employed, n (%) 4 (19) 6 (30) 10 (25) Unemployed, n (%) 1 (5) 2 (10) 3 (7) Retired, n (%) 11 (52) 7 (35) 18 (44) Unfit for work, n (%) 5 (24) 5 (25) 10 (24) Medical history, n (%) Ischemic Heart Disease 15 (70) 11 (55) 26 (63) Cardiac Arrhythmia 2 (10) 1 (5) 3 (7) Other, cardiac disease 4 (20) 7 (35) 11 (27) Other, non-cardiac disease 0 (0) 1 (5) 1 (3) Waiting time in days, median (IQR) Hospital Discharge – Start CR 66 (31) 43 (32) 55 (43) Enrollment CR – Start CR 28 (13) 29 (11) 29 (13) 6.3.2 Adherence to the intervention The median (IQR) use period length was 16 (10) days. During this period, the median (IQR) percentage of the days the participants accessed the application was 100% (25), with a median (IQR) daily use time of 4 (2) minutes. Sixty-seven per cent of the participants opened the application every day. Regarding content interaction, the median (IQR) total number of messages viewed was 38 (24) out of 43. Half of the participants viewed all the messages available. Figure 4 presents the relationship between the number of days since first usage and the cumulative messages completed by participants. The trend line shows continuous completion of messages over time with a slight decrease in the number of messages completed each day after approximately 2 weeks. Two qualitative themes related to these adherence patterns emerged (see Supplementary Appendix 3 for a complete overview of the qualitative themes). First, almost three-quarters of the participants stated that the intervention aligned well with their daily routines. As one participant expressed:

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