What do patients think after a lung transplantation about their self, lung and social network? A quantitative analysis of categorical interview data

OBJECTIVE Psychosocial aspects have been investigated in transplant medicine mainly by the means of various structured questionnaires. To date only few interview data are available on patients thoughts about their self, the transplanted lung or the medication, and the relationship between these thoughts and compliance or gender. METHODS Twenty patients were interviewed after transplantation about their perceptions on self, body, transplanted lung, medication and social network. Their compliance was rated by the attending physicians. The overall interrater-reliability for the category groups was Kappa=.8. The article presents quantitative results of the content analysis. RESULTS Statements were made most frequently about the patients' social network and their self, and significantly less frequently about their body, lung and medication. "Closeness", "distance" and "depression" where main issues that these patients were dealing with. "Closeness" and "distance" played major roles in interpersonal relationships as well as in the relationship to the new lung. Depression mainly had to do with health burdens and the psychosocial consequences of the transplantation (e.g. financial worries). Women made significantly more statements about their social network than men; furthermore they formulate more accented emotional evaluations. Patients with low compliance were more frequently preoccupied with their self, their body as well as the experience of "dependence" and "achievement" than patients with high compliance; also low compliant patients made more critical statements. CONCLUSIONS For lung transplant recipients social relationships are the prime topic of their daily experience. With respect to compliance behaviour, special attention should be paid to the patients' self and body perception as well as to their experience of dependence. These results should be confirmed in studies with larger sample sizes.