Can we use the pharmacy data to estimate the prevalence of chronic conditions? a comparison of multiple data sources

<p>Abstract</p> <p>Background</p> <p>The estimate of the prevalence of the most common chronic conditions (CCs) is calculated using direct methods such as prevalence surveys but also indirect methods using health administrative databases.</p> <p>The aim of this study is to provide estimates prevalence of CCs in Lazio region of Italy (including Rome), using the drug prescription's database and to compare these estimates with those obtained using other health administrative databases.</p> <p>Methods</p> <p>Prevalence of CCs was estimated using pharmacy data (PD) using the Anathomical Therapeutic Chemical Classification System (ATC).</p> <p>Prevalences estimate were compared with those estimated by hospital information system (HIS) using list of ICD9-CM diagnosis coding, registry of exempt patients from health care cost for pathology (REP) and national health survey performed by the Italian bureau of census (ISTAT).</p> <p>Results</p> <p>From the PD we identified 20 CCs. About one fourth of the population received a drug for treating a cardiovascular disease, 9% for treating a rheumatologic conditions.</p> <p>The estimated prevalences using the PD were usually higher that those obtained with one of the other sources. Regarding the comparison with the ISTAT survey there was a good agreement for cardiovascular disease, diabetes and thyroid disorder whereas for rheumatologic conditions, chronic respiratory illnesses, migraine and Alzheimer's disease, the prevalence estimates were lower than those estimated by ISTAT survey. Estimates of prevalences derived by the HIS and by the REP were usually lower than those of the PD (but malignancies, chronic renal diseases).</p> <p>Conclusion</p> <p>Our study showed that PD can be used to provide reliable prevalence estimates of several CCs in the general population.</p

Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey

<p>Abstract</p> <p>Background</p> <p>Studies on the prevalence of multimorbidity, defined as having two or more chronic conditions, have predominantly focused on the elderly. We estimated the prevalence and specific patterns of multimorbidity across different adult age groups. Furthermore, we examined the associations of multimorbidity with socio-demographic factors.</p> <p>Methods</p> <p>Using data from the Health Quality Council of Alberta (HQCA) 2010 Patient Experience Survey, the prevalence of self reported multimorbidity was assessed by telephone interview among a sample of 5010 adults (18 years and over) from the general population. Logistic regression analyses were performed to determine the association between a range of socio-demographic factors and multimorbidity.</p> <p>Results</p> <p>The overall age- and sex-standardized prevalence of multimorbidity was 19.0% in the surveyed general population. Of those with multimorbidity, 70.2% were aged less than 65 years. The most common pairing of chronic conditions was chronic pain and arthritis. Age, sex, income and family structure were independently associated with multimorbidity.</p> <p>Conclusions</p> <p>Multimorbidity is a common occurrence in the general adult population, and is not limited to the elderly. Future prevention programs and practice guidelines should take into account the common patterns of multimorbidity.</p

Alcohol consumption, mild cognitive impairment, and progression to dementia

OBJECTIVE: To estimate the impact of alcohol consumption on the incidence of mild cognitive impairment and its progression to dementia. METHODS: We evaluated the incidence of mild cognitive impairment in 1,445 non-cognitively impaired individuals and its progression to dementia in 121 patients with mild cognitive impairment, aged 65 to 84 years, participating in the Italian Longitudinal Study on Aging, with a 3.5-year follow-up. The level of alcohol consumption was ascertained in the year before the survey. Dementia and mild cognitive impairment were classified using current clinical criteria. RESULTS: Patients with mild cognitive impairment who were moderate drinkers, i.e., those who consumed less than 1 drink/day (approximately 15 g of alcohol), had a lower rate of progression to dementia than abstainers (hazard ratio [HR] 0.15; 95% CI 0.03 to 0.78). Furthermore, moderate drinkers with mild cognitive impairment who consumed less than 1 drink/day of wine showed a significantly lower rate of progression to dementia than abstainers (HR 0.15; 95% CI 0.03 to 0.77). Finally, there was no significant association between higher levels of drinking (> or =1 drink/day) and rate of progression to dementia in patients with mild cognitive impairment vs abstainers. No significant associations were found between any levels of drinking and the incidence of mild cognitive impairment in non-cognitively impaired individuals vs abstainers. CONCLUSIONS: In patients with mild cognitive impairment, up to 1 drink/day of alcohol or wine may decrease the rate of progression to dementia

Metabolic syndrome, mild cognitive impairment, and progression to dementia. The Italian Longitudinal Study on Aging.

We investigated the relationship of metabolic syndrome (MetS) and its individual components with incidence of mild cognitive impairment (MCI) and its progression to dementia in a large longitudinal Italian population-based sample with a 3.5-year follow-up. A total of 2097 participants from a sample of 5632 65-84-year-old subjects from the Italian Longitudinal Study on Aging were evaluated. MetS was defined according to the Third Adults Treatment Panel of the National Cholesterol Education Program criteria. MCI, dementia, Alzheimer's disease (AD), and vascular dementia (VaD) were classified using current published criteria. Among MCI patients those with MetS (N=49) had a higher risk of progression to dementia (HR, 4.40; 95% CI, 1.30-14.82) compared with those without MetS (N=72). After a multivariate adjustment, the risk in MCI patients with MetS approximately doubled (multivariate adjusted HR, 7.80, 95% CI 1.29-47.20) compared with those MCI without MetS. Finally, among non-cognitively impaired individuals there were no significant differences in risks of developing MCI in those who were affected by MetS (N=608) in comparison with those without MetS (N=837), as well as excluding those individuals with undernutrition or low inflammatory status with or without undernutrition. In our population, among MCI patients the presence of MetS independently predicted an increased risk of progression to dementia over 3.5 years of follow-up