Expert-based medication reviews to reduce polypharmacy in older patients in primary care: a northern-Italian cluster-randomised controlled trial.

BACKGROUND: Evidence regarding clinically relevant effects of interventions aiming at reducing polypharmacy is weak, especially for the primary care setting. This study was initiated with the objective to achieve clinical benefits for older patients (aged 75+) by means of evidence-based reduction of polypharmacy (defined as ≥8 prescribed drugs) and inappropriate prescribing in general practice. METHODS: The cluster-randomised controlled trial involved general practitioners and patients in a northern-Italian region. The intervention consisted of a review of patient's medication regimens by three experts who gave specific recommendations for drug discontinuation. Main outcome measures were non-elective hospital admissions or death within 24 months (composite primary endpoint). Secondary outcomes were drug numbers, hospital admissions, mortality, falls, fractures, quality of life, affective status, cognitive function. RESULTS: Twenty-two GPs/307 patients participated in the intervention group, 21 GPs/272 patients in the control group. One hundred twenty-five patients (40.7%) experienced the primary outcome in the intervention group, 87 patients (32.0%) in the control group. The adjusted rates of occurrence of the primary outcome did not differ significantly between the study groups (intention-to-treat analysis: adjusted odds ratio 1.46, 95%CI 0.99-2.18, p = 0.06; per-protocol analysis: adjusted OR 1.33, 95%CI 0.87-2.04, p = 0.2). Hospitalisations as single endpoint occurred more frequently in the intervention group according to the unadjusted analysis (OR 1.61, 95%CI 1.03-2.51, p = 0.04) but not in the adjusted analysis (OR 1.39, 95%CI 0.95-2.03, p = 0.09). Falls occurred less frequently in the intervention group (adjusted OR 0.55, 95%CI 0.31-0.98; p = 0.04). No significant differences were found regarding the other outcomes. Definitive discontinuation was obtained for 67 (16.0%) of 419 drugs rated as inappropriate. About 6% of the prescribed drugs were PIMs. CONCLUSIONS: No conclusive effects were found regarding mortality and non-elective hospitalisations as composite respectively single endpoints. Falls were significantly reduced in the intervention group, although definitive discontinuation was achieved for only one out of six inappropriate drugs. These results indicate that (1) even a modest reduction of inappropriate medications may entail positive clinical effects, and that (2) focusing on evidence-based new drug prescriptions and prevention of polypharmacy may be more effective than deprescribing. TRIAL REGISTRATION: Current Controlled Trials (ID ISRCTN: 38449870), date: 11/09/2013.

Quality improvement in chronic care by self-audit, benchmarking and networking in general practices in South Tyrol, Italy: results from an interventional study.

BACKGROUND: Systematic strategies promoting quality of care in general practice are yet under-represented in several European countries. OBJECTIVE: This interventional study assessed whether a combined intervention (self-audit, benchmarking, quality circles) improved quality of care in Salzburg, Austria and South Tyrol, Italy. The present publication reports the Italian results. METHODS: We developed quality indicators for general practice in a consensus process based on pre-existing quality programmes. The indicators addressed diagnosis and treatment regarding eight common chronic conditions. A quality score comprising 91 indicators was calculated (0-5 points per indicator depending on fulfilment, maximum 455 points). We collected anonymous data from the electronic health records of the participating physicians in 2012, 2013 and 2014. Wilcoxon signed-rank tests were used for pre-post analysis. RESULTS: Thirty-six GPs participated in the study. The median quality score increased significantly from 177.0 points at baseline to 272.0 points at the second follow-up (P = 0.000). Improvements concerned process and intermediate outcome indicators particularly between baseline and the first follow-up. CONCLUSION: Performance was relatively low at baseline and improved considerably, mainly in the first study period. The intervention investigated in this study can serve as a model for future quality programmes. A customized electronic health record for the implementation of this intervention as well as standardized and consistent documentation by GPs is a prerequisite. Use of a limited set of quality indicators (QIs) and regular QI modification is probably advisable to increase the benefits. Long-term prospective studies should investigate the impact of QI-based interventions on end-result outcomes.

Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study.

OBJECTIVES: The Italian project MATRICE aimed to assess how well cases of type 2 diabetes (T2DM), hypertension, ischaemic heart disease (IHD) and heart failure (HF) and their levels of severity can be automatically extracted from the Health Search/CSD Longitudinal Patient Database (HSD). From the medical records of the general practitioners (GP) who volunteered to participate, cases were extracted by algorithms based on diagnosis codes, keywords, drug prescriptions and results of diagnostic tests. A random sample of identified cases was validated by interviewing their GPs. SETTING: HSD is a database of primary care medical records. A panel of 12 GPs participated in this validation study. PARTICIPANTS: 300 patients were sampled for each disease, except for HF, where 243 patients were assessed. OUTCOME MEASURES: The positive predictive value (PPV) was assessed for the presence/absence of each condition against the GP's response to the questionnaire, and Cohen's κ was calculated for agreement on the severity level. RESULTS: The PPV was 100% (99% to 100%) for T2DM and hypertension, 98% (96% to 100%) for IHD and 55% (49% to 61%) for HF. Cohen's kappa for agreement on the severity level was 0.70 for T2DM and 0.69 for hypertension and IHD. CONCLUSIONS: This study shows that individuals with T2DM, hypertension or IHD can be validly identified in HSD by automated identification algorithms. Automatic queries for levels of severity of the same diseases compare well with the corresponding clinical definitions, but some misclassification occurs. For HF, further research is needed to refine the current algorithm.

Mille general practice governance (MilleGPG): an interactive tool to address an effective quality of care through the Italian general practice network.

The General Practitioner (GP) is the "gate-keeper" in patients' treatment and management. Herein, the use of Electronic Medical Records (EMR) could represent an effective support for GPs. Software capable of managing EMRs are available and they can be functional in adopting treatment guidelines by means of computerized prompts and reminders systems. These tools can be also programmed to include clinical algorithms with which to measure the quality of care to make possible the identification of clinical issues, and to take actions for addressing them. Given that similar tools were not available in Italy, we developed MilleGPG, an interactive tool aimed to evaluate, and subsequently improve the quality of care among patients with comorbidities.