[Sociodemographic and health-related determinants of health care utilisation and access to primary and specialist care: Results of a nationwide population survey in Germany (2006-2016)]

Z Evid Fortbild Qual Gesundhwes. 2017 Oct:126:52-65. doi: 10.1016/j.zefq.2017.07.012. Epub 2017 Sep 12.
[Article in German]

Abstract

Background: The aim of this paper is to identify systematic differences due to sociodemographic and health-related determinants in outpatient healthcare utilisation and access in Germany for the period from 2006 to 2016. The study focuses on frequent users and those reporting particularly long wait times for their physician appointments, and it contributes to assessing the level of health equity in Germany.

Methods: The investigation draws on nine population surveys conducted by the German National Association of Statutory Health Insurance Physicians (NASHIP), which interviewed 42,925 respondents aged 18 and above. "Frequent users" were operationalised as those respondents who reported more than ten consultations with outpatient general practitioners (GPs) and specialists (SPs) in the preceding twelve months. Respondents who experienced wait times of more than one month for their last doctor appointment were categorised as "very long wait times". Sociodemographic determinants included age, gender, educational and occupational status, population and region of place of residence, as well as type of health insurance of the respondents. Health-related factors were self-assessed health status and reason for last medical consultation. Statistical analyses were conducted using bivariate and multivariate techniques (logistic regression).

Results: Utilisation: Frequent users of GPs and SPs are predominantly respondents in poor health, retirees and younger persons (18 to 34 years of age). Furthermore, people with a lower educational background consult their GPs significantly more often than people with higher levels of education. Also, patients with statutory health insurance coverage visit GPs more frequently than those having private health insurance, whereas the opposite holds true for SP consultations. Access: Very long wait times for GP and SP appointments were most often experienced by respondents who consult GPs and SPs for preventive medical check-ups or health screenings, have statutory health insurance, live in eastern Germany and who are above 60 years of age. In addition, people with higher levels of education are significantly more likely to experience wait times for SP appointments of more than one month than people with a lower educational background. The proportion of frequent users as well as of those reporting very long wait times for SP appointments has increased in Germany over the period examined.

Conclusion: This study reveals that a high frequency of GP and SP consultations is primarily associated with self-assessed poor health, indicating that prioritisation is based on clinical need. In order to ensure the same needs-based prioritisation in the access to outpatient healthcare, regulatory measures are required to decrease wait times of more than one month for SP appointments, with a special focus on people with statutory health insurance coverage, residents of eastern Germany and the elderly.

Keywords: Arztbesuch; Bevölkerungsbefragung; Inanspruchnahme; Wartezeit; Zugang; appointment wait times; gesundheitsbezogene Merkmale; health care access; health care utilization; health-related determinants; medical consultation; population survey; sociodemographic determinants; soziodemografische Merkmale.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Chronic Disease / epidemiology
  • Educational Status
  • Female
  • Germany
  • Health Care Surveys / statistics & numerical data*
  • Health Services Accessibility / statistics & numerical data*
  • Health Services Misuse / statistics & numerical data
  • Health Status*
  • Humans
  • Male
  • Medicine / statistics & numerical data*
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Primary Health Care / statistics & numerical data*
  • Socioeconomic Factors
  • Waiting Lists
  • Young Adult