Quality of care for hypertensive patients with type 2 diabetes in a rural area of Southern Italy: is the recording of patient data and the achievement of quality indicators targets satisfactory?

Rural Remote Health. 2010 Jul-Sep;10(3):1258. Epub 2010 Sep 13.

Abstract

Introduction: Type 2 diabetes mellitus and hypertension are commonly associated chronic conditions which require regular structured treatment. In the UK many quality markers have been improved through an incentivisation scheme. The aim of this study was to discover if there is potential for improving the quality of care for patients with type 2 diabetes and hypertension in rural Italy, through a quality and outcome incentivisation scheme.

Methods: The study was conducted in a rural practice context in Southern Italy and seven family doctors were involved. The main outcome measures were glycated haemoglobin A1c (HbA1c), LDL cholesterol, and systolic and diastolic blood pressure. The patient characteristics examined were age, sex, educational level, behaviour-related factors such as smoking and BMI, and the presence of comorbidities.

Results: A poor level of registration was found for important variables such as HBA1c (61.4% compared with the UK Quality Indicator of 90%). An adequate level of registration and control was found only for blood pressure (95.7% and 82.1%, respectively), while an acceptable but not optimal level of control for HBA1c was also achieved (88.4% ≤10%). In comparison with levels in UK practices, the Italian district studied performed much less favorably, especially regarding process indicators. Intermediate outcome and treatment indicators were slightly better for blood pressure control but slightly worse for HBA1c and cholesterol control.

Conclusion: The data confirm a poor registration level for important healthcare indicators in the study area, and that optimal levels are rarely reached for many quality indicators. A quality and outcome incentivisation scheme similar to the UK Quality and Outcomes Framework may offer a tool for achieving improvements.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Diabetes Mellitus, Type 2 / complications*
  • Diabetes Mellitus, Type 2 / therapy*
  • Educational Status
  • Health Behavior
  • Humans
  • Hypertension / complications*
  • Hypertension / therapy*
  • Italy
  • Middle Aged
  • Quality Indicators, Health Care
  • Quality of Health Care / statistics & numerical data*
  • Rural Health Services / organization & administration
  • Rural Health Services / statistics & numerical data*
  • Sex Factors