Aims: To evaluate the quality of care in known diabetes patients of Delhi.

Methods: A cross-sectional survey was conducted using a two-stage cluster design. In all, 30 of 150 wards were chosen in Stage 1 (using a random computer-generated seed value and then selecting wards at a predefined sampling interval; Probability Proportionate to Size-Systematic) and one colony from each ward was selected randomly in Stage 2. The selected areas were surveyed house-to-house in one-of-four random directions to recruit a minimum of 25 subjects (known diabetes ≥1 year; 35-65 years of age) per area. Data were collected by interview, blood sampling and from medical records by specifically trained research staff.

Results: A total of 843 subjects (of 1315 eligible) were enrolled from 11,490 houses. For the intermediate outcome measures, an estimated 33.5% (95% CI 27.3-40.2) had an HbA value >10%, 67.2% (95% CI 62.8-71.4) had an LDL cholesterol level >100 mg/dl and 57.3% (95% CI 50.4-63.9) had BP levels >140/90 mmHg. For the processes of care in the last 1 year, 25.6% (95% CI 19.7-32.6) of the patients had an HbA (A1c) estimation and 2.4% (95% CI 1.1-4.9) had a dilated eye examination and 4.1% (95% CI 2.6-6.2) had foot examination. Diabetes self-management education was provided to only 11.3% (95% CI 8.6-14.7) while nutrition counselling was provided to 56.0% (95% CI 51.7-60.2).

Conclusions: The glycaemic control, lipid control and BP management of known diabetes patients in Delhi are unacceptably poor and a wide gap exists between practice recommendations and delivery of diabetes care in Delhi.

Download full-text PDF

Source
http://dx.doi.org/10.1111/dme.14530DOI Listing

Publication Analysis

Top Keywords

diabetes care
8
diabetes patients
8
95%
8
diabetes
6
poor quality
4
quality diabetes
4
care
4
care cluster
4
cluster randomized
4
randomized community
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!