Influence of patient characteristics on preventive service delivery and general practitioners' preventive performance indicators: A study in patients with hypertension or diabetes mellitus from Hungary

Eur J Gen Pract. 2018 Dec;24(1):183-191. doi: 10.1080/13814788.2018.1491545.

Abstract

Background: Regular primary healthcare (PHC) performance monitoring to produce a set of performance indicators for provider effectiveness is a fundamental method for improving guideline adherence but there are potential negative impacts of the inadequate application of this approach. Since performance indicators can reflect patient characteristics and working environments, as well as PHC team contributions, inadequate monitoring practices can reduce their effectiveness in the prevention of cardiometabolic disorders.

Objectives: To describe the influence of patients' characteristics on performance indicators of PHC preventive practices in patients with hypertension or diabetes mellitus.

Methods: This cross-sectional analysis was based on a network of 165 collaborating GPs. A random sample of 4320 adults was selected from GP's patient lists. The response rate was 97.3% in this survey. Sociodemographic status, lifestyle, health attitudes and the use of recommended preventive PHC services were surveyed by questionnaire. The relationship between the use of preventive services and patient characteristics were analysed using hierarchical regression models in a subsample of 1659 survey participants with a known diagnosis of hypertension or diabetes mellitus.

Results: Rates of PHC service utilization varied from 18.0% to 97.9%, and less than half (median: 44.4%; IQR: 30.8-62.5) of necessary services were used by patients. Patient attitude was as strong of an influencing factor as demographic properties but was remarkably weaker than patient socioeconomic status.

Conclusion: These findings emphasize that PHC performance indicators have to be evaluated concerning patient characteristics.

Keywords: Guideline adherence; monitoring; preventive services use; primary care; risk adjustment.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Attitude to Health
  • Cross-Sectional Studies
  • Delivery of Health Care
  • Diabetes Mellitus / prevention & control*
  • Female
  • General Practice / statistics & numerical data*
  • Health Behavior
  • Humans
  • Hungary
  • Hypertension / prevention & control*
  • Life Style
  • Male
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Preventive Health Services / statistics & numerical data*
  • Quality Indicators, Health Care*
  • Secondary Prevention
  • Surveys and Questionnaires
  • Young Adult

Grants and funding

This study was funded by the Swiss Contribution Programme (SH/8/1), and by the TÁMOP-4.2.2.AA-11/1/KONV-2012-0031 (IGEN-HUNGARIAN) project, which was co-financed by the European Union and the European Social Fund, and by the Hungarian Academy of Sciences (MTA 11003, 2006TKI227).