title: [FIMA--questionnaire for health-related resource use in an elderly population: development and pilot study].
abstract: OBJECTIVE
  Due to demographic trends towards an ageing population resource use of health care will increase. By collecting health-related costs via questionnaires, the impact of socio-economic variables and other medical factors can be examined. In addition, only patient reported resource use accounts for out-of-pocket payments. Thus, it is necessary to develop an appropriate tool to collect the health-related resource use in an elderly population.
  
  
  METHODS
  The development of the FIMA (questionnaire for the use of medical and non-medical services in old age) was carried out in 6 steps. These included the determination of necessary questionnaire contents based on a literature review and the wording and layout were defined. Finally the questionnaire was tested in a pilot study and was modified.
  
  
  RESULTS
  All direct medical and non-medical resource use excluding transportation and time costs were recorded. Productivity losses were not included. The recall time frames differed according to resource categories (7 days, 3 months, 12 months). For the pilot study, 63 questionnaires were analysed. The response rate was 69%. The questionnaire took an average of 21 min to complete. Three quarters of respondents completed the questionnaire without help and 90% rated the difficulty as easy or even very simple. There was good agreement between self-reported health-related quality of life and the resource use of nursing and domestic help (phi coefficient values between 0.52 and 0.58).
  
  
  CONCLUSIONS
  The FIMA is a generic questionnaire which collects the health-related resource use within the older population groups.
authors.affiliation: Institut für Gesundheitsökonomie und Management im Gesundheitswesen, Helmholtz Zentrum München, Neuherberg.
authors.forename: H
authors.initials: H
authors.lastname: Seidl
authors.affiliation: Fakultät für Gesundheitswissenschaften Gesundheitsökonomie und -Gesundheitsmanagement, Universität Bielefeld, Bielefeld.
authors.forename: D
authors.initials: D
authors.lastname: Bowles
authors.affiliation: Institut für Gesundheitsökonomie und Versorgungsforschung, Hamburg Center for Health Economics, -Universitätsklinikum Hamburg-Eppendorf, Hamburg.
authors.forename: J-O
authors.initials: JO
authors.lastname: Bock
authors.affiliation: Institut für Gesundheitsökonomie und Versorgungsforschung, Hamburg Center for Health Economics, -Universitätsklinikum Hamburg-Eppendorf, Hamburg.
authors.forename: C
authors.initials: C
authors.lastname: Brettschneider
authors.affiliation: Fakultät für Gesundheitswissenschaften Gesundheitsökonomie und -Gesundheitsmanagement, Universität Bielefeld, Bielefeld.
authors.forename: W
authors.initials: W
authors.lastname: Greiner
authors.affiliation: Institut für Gesundheitsökonomie und Versorgungsforschung, Hamburg Center for Health Economics, -Universitätsklinikum Hamburg-Eppendorf, Hamburg.
authors.forename: H-H
authors.initials: HH
authors.lastname: König
authors.affiliation: Institut für Gesundheitsökonomie und Management im Gesundheitswesen, Helmholtz Zentrum München, Neuherberg.
authors.forename: R
authors.initials: R
authors.lastname: Holle
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D005858:Germany; D005102:Health Expenditures / Q000706:statistics & numerical data*; D006299:Health Services for the Aged / Q000191:economics* / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D014600:Utilization Review / Q000191:economics* / Q000379:methods*