What makes community psychiatric nurses label non-psychotic chronic patients as ‘difficult’: patient, professional, treatment and social variables

• Published in: Social Psychiatry and Psychiatric Epidemiology Vol. 46; no. 10; pp. 1045 - 1053
• Main Authors: Koekkoek, B., van Meijel, B., Tiemens, B., Schene, A., Hutschemaekers, G.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.10.2011; Springer; Springer Nature B.V
• Subjects: Adolescent; Adult; Biological and medical sciences; Chronic Disease - nursing; Chronic Disease - psychology; Community Mental Health Services; Cross-Sectional Studies; Emotional disorders; Epidemiology; Female; Health staff related problems. Vocational training; Humans; Male; Medical sciences; Medicine; Medicine & Public Health; Mental disorders; Mental Disorders - nursing; Mental health care; Middle Aged; Mood disorders; Netherlands; Nurse-Patient Relations; Nurses; Nursing care; Original Paper; Patients; Patients - classification; Patients - psychology; Perceptions; Personality disorders; Professionals; Psychiatric Nursing; Psychiatric-mental health nursing; Psychiatry; Psychology. Psychoanalysis. Psychiatry; Psychopathology. Psychiatry; Psychosis; Questionnaires; Social psychiatry. Ethnopsychiatry; Young Adult; Netherlands; Europe; Psychiatric nursing; Affective disorders; Public mental health; Personality disorders; Social psychiatry; Substance abuse disorders; Social environment; Human; Mood disorder; Health staff; Mental health; Labelling; Substance abuse; Personality disorder; Affective disorder; Chronic; Psychiatric nurse; Treatment; Cross sectional study; Community health; Public health
• ISSN: 0933-7954; 1433-9285
• DOI: 10.1007/s00127-010-0264-5

Purpose To determine which patient, professional, treatment and/or social variables make community psychiatric nurses (CPNs) label non-psychotic chronic patients as ‘difficult’. Methods A questionnaire was designed and administered to 1,946 CPNs in the Netherlands. Logistic regression was used to design models that most accurately described the variables that contributed to perceived difficulty. Results Six variables were retained in the final logistic model. Perception-related variables (feeling powerless, feeling that the patient is able but unwilling to change, and pessimism about the patient’s change potential) dominated treatment-related variables (number of contacts per week and admission to a locked ward in the last year) and social variables (number of psychosocial problems). Conclusion This research shows that perceived difficulty is related to complex treatment situations, not so much to individual patient characteristics. If the constructed model has good predictive qualities, which remains to be tested in longitudinal research, it may be possible to accurately predict perceived patient difficulty. When used as a screening tool, such a model could improve treatment outcomes.