Identifying and predicting subgroups of information needs among cancer patients: An initial study using latent class analysis

Supportive Care in Cancer

Volumn 19, Issue 8, 2011, Pages 1197-1209

  Neumann, Melanie ^a,b   Wirtz, Markus ^c   Ernstmann, Nicole ^b   Ommen, Oliver ^b   Längler, Alfred ^a,d   Edelhäuser, Friedrich ^a   Scheffer, Christian ^a   Tauschel, Diethard ^a   Pfaff, Holger ^b  

^a UNIVERSITY OF WITTEN HERDECKE   (Germany)

^b UNIVERSITY OF COLOGNE   (Germany)

^c UNIVERSITY OF EDUCATION FREIBURG   (Germany)

^d Department of Paediatrics and Adolescent Medicine   (Germany)

Author keywords

Cancer patients; Information needs; Latent class analysis (LCA)

Indexed keywords

ADULT; AGED; ARTICLE; AWARENESS; CANCER PATIENT; CANCER PATIENT INFORMATION NEEDS; CLINICAL ASSESSMENT TOOL; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DOCTOR PATIENT RELATION; EMPATHY; FEMALE; HEALTH CARE NEED; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; LATENT CLASS ANALYSIS; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; PATIENT INFORMATION; PREDICTION; PRIORITY JOURNAL; PSYCHOSOCIAL CARE; PSYCHOTHERAPY; STATISTICAL ANALYSIS; TRUST;

ADULT; AGED; ALGORITHMS; CROSS-SECTIONAL STUDIES; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEALTH SERVICES NEEDS AND DEMAND; HEALTH SURVEYS; HUMANS; INFORMATION DISSEMINATION; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEEDS ASSESSMENT; NEOPLASMS; ODDS RATIO; PATIENT EDUCATION AS TOPIC; PATIENT SATISFACTION; PHYSICIAN-PATIENT RELATIONS; RETROSPECTIVE STUDIES; STATISTICS AS TOPIC; TIME FACTORS; YOUNG ADULT;

EID: 80051582607     PISSN: 09414355     EISSN: 14337339     Source Type: Journal    
DOI: 10.1007/s00520-010-0939-1     Document Type: Article

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