Analysis of patients' willingness to be mobile, taking into account individual characteristics and two exemplary indications

J Dtsch Dermatol Ges. 2017 Apr;15(4):430-438. doi: 10.1111/ddg.13218. Epub 2017 Mar 17.

Abstract

Background: With respect to health care planning, it is commonly assumed that patients consult the nearest physician. In reality, however, patients frequently accept great-er efforts/expenses than necessary to see a physician. The objective of the present study was to determine under which circumstances patients were willing to accept additional efforts/expenses, and which role sociodemographic and clinical characteristics play in this regard.

Methods: Data collection was carried out in the context of a multicenter cross-sectional study among office-based and hospital-affiliated (University Medical Center Hamburg-Eppendorf) dermatologists. Patients (n = 309) with psoriasis and chronic wounds were surveyed about their mobility patterns and disease severity. Data analysis was performed using descriptive and multivariate methods.

Results: The willingness to accept additional efforts/expenses is primarily determined by a physician's expertise and service portfolio. Comparing both diagnoses showed that psoriasis patients usually traveled longer distances than wound patients. Among psoriasis patients, one significant predictor for accepting additional efforts/expenses was the level of education. With regard to wound patients, key factors included wound size (severity).

Conclusion: The present study revealed complex mobility patterns among patients, which are affected by numerous personal as well as clinical factors. Depending on the diagnosis and individual preferences, additional efforts/expenses can - among other things - be explained by disease severity. Further studies are required to obtain more conclusive data.

Publication types

  • Multicenter Study
  • Observational Study

MeSH terms

  • Attitude to Health
  • Clinical Competence / economics*
  • Clinical Competence / statistics & numerical data
  • Clinical Decision-Making / methods*
  • Cross-Sectional Studies
  • Educational Status
  • Fees and Charges / statistics & numerical data*
  • Germany / epidemiology
  • Humans
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Skin Diseases / diagnosis
  • Skin Diseases / epidemiology*
  • Skin Diseases / therapy
  • Socioeconomic Factors
  • Travel / economics*