Impact of potentially inappropriate medications and polypharmacy on 3-month readmission among older patients discharged from acute care hospital: a prospective study.

BACKGROUND: Polypharmacy and potentially inappropriate medications (PIMs) are known to affect several negative outcomes in older patients. However, studies comparatively assessing polypharmacy and PIMs in relation to readmission are distinctively lacking. AIMS: To compare the impact of polypharmacy and PIMs on 3-month readmission among older patients discharged from acute care hospital. METHODS: Our series consisted of 647 patients consecutively enrolled in a multicenter observational study. The outcome of the study was the occurrence of any admission during the 3-month follow-up after discharge. Polypharmacy was defined as use of more than eight medications. PIMs were identified using 2015 version of Beers and Screening Tool of Older Persons Prescriptions (STOPP) criteria. Statistical analysis was performed using logistic regression models. RESULTS: After adjusting for potential confounders, polypharmacy (OR 2.72, 95% CI 1.48-4.99) was found associated with the outcome, while Beers (OR 0.85, 95% CI 0.46-1.56), STOPP (OR 1.60, 95% CI 0.85-3.01), or combined Beers and STOPP violations (OR 0.99, 95% CI 0.57-1.74) were not. The association between polypharmacy and 3-month readmission was confirmed in logistic regression models including Beers (OR 2.88, 95% CI 1.55-5.34), STOPP (OR 2.64, 95% CI 1.43-4.87), or combined Beers and STOPP violations (OR 2.80, 95% CI 1.51-5.21). DISCUSSION: Besides confirming that polypharmacy should be considered as a marker for readmission risk among older patients discharged from acute care hospital, our findings suggest that the association between polypharmacy and 3-month readmission is substantially independent of use of PIMs. CONCLUSIONS: Polypharmacy, but not PIMs was significantly associated with readmission. Hospitalization should always be considered as a clue to individuate unnecessary polypharmacy and to reduce the burden of medications whenever possible.

The economic impact of moderate stage Alzheimer's disease in Italy: evidence from the UP-TECH randomized trial.

BACKGROUND: There is consensus that dementia is the most burdensome disease for modern societies. Few cost-of-illness studies examined the complexity of Alzheimer's disease (AD) burden, considering at the same time health and social care, cash allowances, informal care, and out-of-pocket expenditure by families. METHODS: This is a comprehensive cost-of-illness study based on the baseline data from a randomized controlled trial (UP-TECH) enrolling 438 patients with moderate AD and their primary caregiver living in the community. RESULTS: The societal burden of AD, composed of public, patient, and informal care costs, was about €20,000/yr. Out of this, the cost borne by the public sector was €4,534/yr. The main driver of public cost was the national cash-for-care allowance (€2,324/yr), followed by drug prescriptions (€1,402/yr). Out-of-pocket expenditure predominantly concerned the cost of private care workers. The value of informal care peaked at €13,590/yr. Socioeconomic factors do not influence AD public cost, but do affect the level of out-of-pocket expenditure. CONCLUSION: The burden of AD reflects the structure of Italian welfare. The families predominantly manage AD patients. The public expenditure is mostly for drugs and cash-for-care benefits. From a State perspective in the short term, the advantage of these care arrangements is clear, compared to the cost of residential care. However, if caregivers are not adequately supported, savings may be soon offset by higher risk of caregiver morbidity and mortality produced by high burden and stress. The study has been registered on the website www.clinicaltrials.org ( TRIAL REGISTRATION NUMBER: NCT01700556).

The UP-TECH project, an intervention to support caregivers of Alzheimer's disease patients in Italy: preliminary findings on recruitment and caregiving burden in the baseline population.

OBJECTIVES: The paper describes recruitment results and characteristics of the UP-TECH clinical trial sample, including level of care services use, informal caregiver burden and its determinants. METHODS: UP-TECH is designed to test innovative care solutions for community-dwelling patients with moderate stage Alzheimer's disease and their caregivers in Italy. Four hundred and fifty patient-caregiver dyads were randomized into three arms receiving different combinations of services, composed of case management interventions, nurse visits, assistive technology and educational brochures. The research nurses administered a questionnaire comprising an in-depth socio-demographic assessment and several clinical scales, such as Novak's Caregiver Burden Inventory. Analyses of baseline data were conducted using uni- and bi-variate statistics. Linear regressions were computed to identify de-confounded correlates of caregiver burden. RESULTS: Four hundred and thirty-eight patient-caregiver dyads were recruited and randomized. In our sample, patients are predominantly women (71.5%), with an average age of 81.5 years and a mean Mini-Mental State Examination score of 16.2. Caregivers are mostly women (66.2%) and offspring (55.7%), with a mean caregiver burden score of 27.6. They provide more than 50 hours of care per week, while receiving an almost negligible support from public services. Factors associated with caregiver burden are female gender, kinship and the patient's behavioral disturbances. The most important factor associated with lower burden is the employment of a live-in care worker. CONCLUSION: The paper provides a comprehensive description of moderate stage Alzheimer's disease patients and their caregivers, suggesting useful markers of caregiver burden. The well-balanced randomization assures the reliability of the study data-set for prospective evaluation of care strategies.

Effects of hyperpolypharmacy and potentially inappropriate medications (PIMs) on functional decline in older patients discharged from acute care hospitals.

AIM: To comparatively investigate the effects of hyperpolypharmacy and potentially inappropriate medications (PIMs) on functional decline in older patients after hospital discharge. METHODS: Our series consisted of 733 patients aged ≥65 consecutively enrolled in a multicenter observational longitudinal study. PIMs were defined on the basis of updated versions of Beers and STOPP criteria. The occurrence of functional decline was defined as the loss of independency in at least 1 basic activity of daily living (BADL) from discharge through 3-month follow-up visit. RESULTS: After adjusting for several potential confounders, hyperpolypharmacy (OR = 2.20; 95%CI = 1.11-4.37) and Beers violations (OR = 1.99; 95%CI = 1.17-3.49) were significantly associated with functional decline, while STOPP (OR = 1.10; 95%CI = 0.64-1.88) and combined Beers + STOPP violations (OR = 1.72; 95%CI = 0.97-3.05) were not. In logistic regression models simultaneously including both hyperpolypharmacy and PIMs, hyperpolypharmacy was always associated with functional decline (OR = 1.98; 95%CI = 1.0-3.97 in the model including Beers violations; OR = 2.19; 95%CI = 1.11-4.35 in the model including STOPP violations; OR = 2.04; 95%CI = 1.02-4.06 in the model including combined Beers and STOPP violations). Beers violations (OR = 1.89; 95%CI = 1.09-3.28) also remained significantly associated with the outcome in this latter analysis, but not STOPP or combined Beers and STOPP violations. CONCLUSIONS: Hyperpolypharmacy, and to a lesser extent Beers violations predict functional decline in older patients discharged from acute care hospitals, whilst STOPP criteria are no longer associated with the outcome after adjusting for potential confounders. Hyperpolypharmacy is associated with functional decline independent of PIMs.