A new generic patient-centered instrument to generate health-status values: CS-Base

Paul Krabbe, Antoinette van Asselt, Anna Selivanova, Karin Vermeulen, Ruslan Jabrayilov

Research output: Contribution to journalMeeting AbstractAcademic

Abstract

Aims: A relevant measure of health status needs to assess the level of complaints as well as their impact. Therefore, it is necessary to incorporate patients' preferences into the final assessment of their health condition. In the development of many of the current preference- based instruments, patient involvement was either lacking, or occurred in the later stages. We describe the first step to develop a patient-centered health content for a novel generic instrument (CSBase) that is suitable to generate values for health-status. Methods: Candidate items were drawn from existing health frameworks of generic health status instruments as identified by literature. The items were placed in a diagram: HealthFANc. The HealthFAN systematized various health items reflecting broader health domains. Respondents were patients with a wide range of diseases. Through an online survey, they were asked to select the nine items that were most important to them. By means of frequency distributions, the importance of the items was determined. Results: After handling duplicates and overlap, a set of 47 items remained. They were placed in the HealthFAN. A sample of 2,256 Dutch patients started the survey. Most common diagnoses were neck and back pain, diabetes and asthma/COPD. The five health items most frequently considered as most important ones were pain, personal relationships, fatigue, memory and vision. Based on the analysis, some domains underwent changes. The original plan was to include a maximum of 9 items in the CS-Base. However, hearing and vision, anxiety and depression, and independence and self-esteem seemed highly intertwined, so we chose to pair these items. Conclusions: CONCLUSIONS. A total number of 12 health items were included in the CS-Base instrument. Its content is largely based on patient input and enables classification of the health status. The CS-base can be administered by means of an application on a mobile phone, which makes it convenient and attractive for patients. Next step will be to assign values to the health states, which is integrated as separate task in the mobile application.
Original languageEnglish
Pages (from-to)S150-S151
Number of pages2
JournalQuality of Life Research
Volume27
DOIs
Publication statusPublished - 1-Oct-2018

Keywords

  • adult
  • anxiety
  • asthma
  • backache
  • chronic obstructive lung disease
  • conference abstract
  • controlled study
  • diabetes mellitus
  • diagnosis
  • Dutchman
  • fatigue
  • female
  • health status
  • hearing
  • human
  • major clinical study
  • male
  • memory
  • mobile application
  • mobile phone
  • neck
  • self esteem
  • vision

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