title: [What are the reasons for patient dropout in nursing home residents in an intervention study. An analysis of unit nonresponders in 12 German nursing homes].
abstract: BACKGROUND
  Non-response bias is a major problem for the validity of survey answers. Analyses of reasons for non-response in surveys with nursing home residents (NHR) are scarce.
  
  
  OBJECTIVE
  The aim of this study was to develop reliable and valid categories which represent reasons for non-response in nursing homes using the "Prozessmodell induktiver Kategorienbildung" following Mayring (2010). Furthermore, characteristics of unit non-responder and responder were compared.
  
  
  RESULTS
  Forming of categories of reasons for non-response was conducted with 522 NHR, longitudinally. Four major categories were identified (general refusal, health reasons, accessibility, excessive demand) and further 17 subcategories. Unit-non-responder and responder did not differ in age and sex; however follow-up non-responder showed differences in marital status, training qualification, and cognitive status.
  
  
  CONCLUSIONS
  The presented scheme of categories can be used to assess reasons for non-response in nursing homes. Standardised assessment of reasons for non-response may contribute to higher response rates in this setting.
authors: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité-Universitätsmedizin Berlin.
authors: Andrea
authors: A
authors: Budnick
authors: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité-Universitätsmedizin Berlin.
authors: Laura-Maria
authors: LM
authors: Jordan
authors: Institut für Klinische Pharmakologie und Toxikologie, Charité-Universitätsmedizin Berlin.
authors: Franziska
authors: F
authors: Könner
authors: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité-Universitätsmedizin Berlin.
authors: Bianca
authors: B
authors: Hannemann
authors: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité-Universitätsmedizin Berlin.
authors: Ines
authors: I
authors: Wulff
authors: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité-Universitätsmedizin Berlin.
authors: Sonja
authors: S
authors: Kalinowski
authors: Institut für Klinische Pharmakologie und Toxikologie, Charité-Universitätsmedizin Berlin.
authors: Reinhold
authors: R
authors: Kreutz
authors: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité-Universitätsmedizin Berlin.
authors: Dagmar
authors: D
authors: Dräger
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015982:Bias; D002908:Chronic Disease / Q000451:nursing* / Q000523:psychology; D016000:Cluster Analysis; D003625:Data Collection / Q000706:statistics & numerical data*; D005260:Female; D005858:Germany; D006707:Homes for the Aged; D006801:Humans; D008297:Male; D009735:Nursing Homes; D015588:Observer Variation; D059408:Pain Management / Q000451:nursing* / Q000706:statistics & numerical data*; D010352:Patient Dropouts / Q000523:psychology* / Q000706:statistics & numerical data*
keywords: Attrition; Nonresponse; Pflegeheim; Pflegeheimbewohner(in); attrition; non-response; nursing home; nursing home resident