Blood pressure (BP) control remains unsatisfactory worldwide. Better knowledge of BP management in clinical practice is needed to develop more effective improving strategies. Using a large Italian primary care database, we selected the subjects diagnosed with hypertension, and extracted the diagnosis of myocardial infarction, angina pectoris/coronary disease, stroke/transitory ischemic attack (TIA), heart failure, atrial fibrillation, peripheral arterial disease, diabetes mellitus, the serum total cholesterol, HDL cholesterol, triglycerides, creatinine, BP, electrocardiogram, weight, height and the prescription of cardiovascular (CV)
BackgroundIt is well known that hypertension control is non-satisfactory, but it is not clear how many hypertensive patients can be controlled in real life. We addressed this question implementing a simple, multifaceted improvement strategy in family practice.MethodsEighteen General Practitioner (GPs) agreed upon a simple improvement strategy including: 1) the use of occasional direct/indirect contacts (prescription refilling) to decrease missing blood pressure (BP) recording, and to increase therapeutic adherence, 2) the use of home BP measurements in non-controlled patients, 3) the addition of a new drug in non-controlled, but adequately adherent patients. Results were assessed after one year by automatic data extraction from the clinical records of all hypertensive subjects.ResultsThe patients with a diagnosis of hypertension increased from 6.309 (age 58.5 +/- 12.4; M 45.5%) to 6.717 (age 58.6 +/- 12.9; M 45.7%): prevalence 25.3% to 27.0%. The BP recording increased: 4,305 patients (68.2%) vs 4,948 patients (78.4%) (+ 10.2%, ci 9.4%-10.9%; p < 0.001), as well as the BP control: 3,203 (50.8% of all the diagnosed hypertensive patients and 74.4% of the subjects with recorded BP value) vs 4,043 (64.1% of all the diagnosed hypertensive patients and 81.7% of the subjects with recorded BP value) (+ 13.3%, ci 12.5%-14.2%; p < 0.001 and + 7.3%, ci 6.7%-8.0%; p < 0.001).ConclusionsAlmost 82% of hypertensive subjects who contact their doctors can be easily controlled. Most non-controlled patients simply don’t see their GPs; in almost all the remaining non-controlled patients GPs fail to increase drug therapy. A further improvement is therefore possible.
BackgroundThe links between obstructive sleep apnoea and hypertension are well established; obstructive sleep apnoea is reported in up to 30% of patients with hypertension, although it is frequently underdiagnosed. Physicians can assess the degree of sleepiness by administering the Epworth Sleepiness Scale, but the large number of patients with hypertension makes this strategy difficult for busy physicians to implement. Obese patients form a subgroup at higher risk for obstructive sleep apnoea, which can be targeted for screening. AimThe study carried out a preliminary exploration of the effectiveness of screening patients with hypertension and obesity for obstructive sleep apnoea in general practice using the Epworth Sleepiness Scale. SettingOne group practice in Italy. Design of study'Good clinical practice' was systematically applied: identification of patients with hypertension and obesity; qualitative interview to identify obstructive sleep apnea; and consequent work-up and therapy. MethodThree family physicians, caring for 769 pharmacologically-treated patients with hypertension, identified 220 obese patients without relevant pulmonary or neurological diseases or insomnia; 31 of these 220 patients scored >11 on the Epworth Sleepiness Scale. ResultsPolysomnography confirmed obstructive sleep apnoea in 10% of the obese, hypertensive population (95% confidence interval [CI] = 7.03% to 13.63%), and in 3.9% of the whole hypertensive population (95% CI = 2.74% to 5.51%). At baseline, 24-hour blood pressure monitoring showed uncontrolled blood pressure in all these patients. Under continuous positive airway pressure (CPAP), the blood pressure value normalised (P<0.05), and the mean Epworth Sleepiness Scale score decreased significantly: mean 13.68 versus 7.84 (P<0.001). ConclusionIn obese patients with hypertension examined in this study, the prevalence of obstructive sleep apnoea prevalence is about 10%. CPAP significantly ameliorates the blood pressure control. This simple screening and treatment strategy may be easily adopted in primary care.
The priorities for further improvement are the patients who do not see their doctors (regularly), followed by those unwilling to increase their therapy.
Background: To evaluate socio-economic disparities in diabetes prevalence and care in Marches (a region of central Italy) in 2003-2010 through a cross-sectional study. Methods: The databases of 52 general practitioners were mined for people with diabetes (age ≥20 years). These data were linked with records from other regional administrative databases. Healthcare disparities, specifically potentially preventable hospitalizations (PPH) related to diabetes and its complications, were analysed using participants’ gender, age, and education data and the Italian Deprivation Index. Crude, age-specific and gender-specific diabetes prevalence was estimated for each year of observation. A time-trend analysis was performed. Admissions that might have been prevented according to Agency for Healthcare Research and Quality criteria were used to calculate the PPH rate for each level of social condition indicators. Rate ratios and 95% confidence intervals were estimated with a multiple Poisson regression model. Results: The search found 6,494 participants with diabetes mellitus aged ≥20 years. Disease prevalence ranged from 5.4% (2003) to 7.8% (2010), with a significant 0.31% positive trend. Those aged ≤44 years were at significantly higher risk of PPH than older people. A significant PPH excess was found among people living in socio-economically disadvantaged areas. Education and gender did not significantly affect PPH. Conclusion. People with diabetes seem to use primary care services appropriately irrespective of socio-economic status. Outpatient services are not equally distributed on the regional territory; this may increase disease severity and/or the risk of diabetes complications and affect appropriateness of diabetes care.
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