Data analysis
cancer, depression, tumour, anxiety
CANCER, ANDERSEN, WELLS, TUMOUR, REGRESSION
The following characteristic values describing the isPO OG service were computed from the variables of the isPO care data: percentage of patients who utilised the isPO OG service; date difference between enrolment and isPO OG consultation; percentage of patients who received an isPO OG consultation with a peer service provider; percentage of patients per reason isPO OG service was not conducted by a peer service provider; appropriateness of consultation timing; duration of the isPO OG consultation; percentage of patients who requested a second isPO OG consultation; to what extent the consultation helped in coping with cancer; to what extent it gave confidence; and to what extent it provided orientation.For all these key figures, comparisons between the isPO care networks were conducted. XMoreover, logistic regression analyses for the predication of utilisation were performed. Therefore, the isPO care data were linked with the patient survey data. The tested models were created according to the elements of Andersen’s model of health services use: predisposing characteristics, enabling resources, and needs (Andersen Model 1 (predisposing factors) contains the variables of age group, gender, and educational level, according to the International Standard Classification of Education (United Nations Educational, Scientific and Cultural Organization Model 2 (enabling factors) consists of the predictor variables of partnership status, type of household, social support, and isPO care network.Model 3 (need factors) takes into account tumour entity, depression and anxiety at the time of enrolment, and the assigned isPO care level.For the items of the isPO OG assessment, which both patients and isPO OGs answered, paired t-tests were conducted to compare the perspectives. This covered the variables of the appropriateness of consultation timing, coping, confidence, and orientation.From the patient survey, the scale ‘satisfaction with isPO OG consultation’ was analysed using ANOVA to compare isPO care networks.The data of the isPO OG survey were analysed descriptively considering the volunteers’ activity status, their workload in hours per week, their subjective workload, satisfaction with training, and satisfaction with the voluntary work.According to the latter, Spearman’s correlations were conducted for person-related and work-related variables. In the person-related analysis, age, gender, employment status, and level of previous experiences in cancer peer support were examined. The work-related analysis considered the objective and subjective workload, the number of consultations conducted, satisfaction with training, and work-related sense of coherence.Analyses comparing the isPO care networks were not carried out for the isPO OG survey data, as the number of cases was insufficient.To be able to present and interpret the results of the quantitative analyses according to Issel and Wells' programme theory (Key figures of the isPO onco-guide evaluation located into the programme theory components stratified after patients’ and isPO onco-guides’ perspectiveUtilisation rateTime span between enrolment and consultationConsultation with peer service providerReasons for consultation without peer service providerTiming of consultationRequest for further consultationSatisfaction with consultationCopingConfidenceOrientationObjective workloadSubjective workloadSatisfaction with trainingSatisfaction with voluntary workTiming of consultationDuration of consultationCopingConfidenceOrientationAll analyses were conducted using IBM SPSS Statistics 28.