[FIMA--questionnaire for health-related resource use in an elderly population: development and pilot study]

Gesundheitswesen. 2015 Jan;77(1):46-52. doi: 10.1055/s-0034-1372618. Epub 2014 May 7.
[Article in German]

Abstract

Aim: 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).

Conclusion: The FIMA is a generic questionnaire which collects the health-related resource use within the older population groups.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Female
  • Germany
  • Health Expenditures / statistics & numerical data*
  • Health Services for the Aged / economics*
  • Health Services for the Aged / statistics & numerical data*
  • Humans
  • Male
  • Pilot Projects
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surveys and Questionnaires*
  • Utilization Review / economics*
  • Utilization Review / methods*