Use of inhaled corticosteroids in preschool children and variability among pediatricians: a real-world analysis before and during the SARS-CoV-2 pandemic.

BACKGROUND: In Italy, inhaled corticosteroids (ICSs) are inappropriately prescribed to provide relief in URTI symptoms. Extreme variation in ICS prescribing has been described at regional and sub-regional level. During 2020, extraordinary containment measures were implemented in attempt to halt Coronavirus, such as social distancing, lockdown, and the use of mask. Our objectives were to evaluate the indirect impact of the SARS-CoV-2 pandemic on prescribing patterns of ICSs in preschool children and to estimate the prescribing variability among pediatricians before and during the pandemic. METHODS: In this real-world study, we enrolled all children residing in the Lazio region (Italy), aged 5 years or less during the period 2017-2020. The main outcome measures were the annual ICS prescription prevalence, and the variability in ICS prescribing, for each study year. Variability was expressed as Median Odds Ratios (MORs). If the MOR is 1.00, there is no variation between clusters (e.g., pediatricians). If there is considerable between-cluster variation, the MOR will be large. RESULTS: The study population consisted of 210,996 children, cared by 738 pediatricians located in the 46 local health districts (LHDs). Before the pandemic, the percentage of children exposed to ICS was almost stable, ranging from 27.3 to 29.1%. During the SARS-CoV-2 pandemic, the ICS prescription prevalence dropped to 17.0% (p < 0.001). In each study year, a relevant (p < 0.001) variability was detected among both LHDs and pediatricians working in the same LHD. However, the variability among individual pediatricians was always higher. In 2020, the MOR among pediatricians was 1.77 (95% CI: 1.71-1.83) whereas the MOR among LHDs was 1.29 (1.21-1.40). Furthermore, MORs remained stable over time, and no differences were detected in ICS prescription variability before and after pandemic outbreak. CONCLUSIONS: If on one hand the SARS-CoV-2 pandemic indirectly caused the reduction in ICS prescriptions, on the other the variability in ICS prescribing habits among both LHDs and pediatricians remained stable over the whole study time span (2017-2020), showing no differences between pre- pandemic and pandemic periods. The intra-regional drug prescribing variability underlines the lack of shared guidelines for appropriate ICS therapy in preschool children, and raises equity issues in access to optimal care.

[Evaluation of the indirect impact of the Sars-CoV-2 epidemic on primary and ambulatory care processes using synthetic quality measures and graphic representations.] / Valutazione dell'impatto indiretto dell'epidemia da Sars-CoV-2 sui processi assistenziali del territorio attraverso rappresentazioni sintetiche della qualità delle cure.

INTRODUCTION: A concise representation of different primary and ambulatory care quality indicators can be very useful for quickly understanding the data and defining appropriate intervention strategies. The objectives of this study are to implement a graphical representation based on the TreeMap, a tool capable of summarizing results from heterogeneous indicators, with different measurement scales and thresholds, and take advantage of TreeMap's potential to measure the indirect impact of the Sars-CoV-2 epidemic on primary and ambulatory care processes. METHODS: Seven healthcare areas were considered each defined by a set of different indicators representative of the area. A discrete score ranging from 1 (very high quality) to 5 (very low quality) was assigned to the value of each indicator, based on the level of adherence to evidence-based recommendations. Finally, the score of each healthcare area is obtained as the weighted average of the scores of the representative indicators. The TreeMap is calculated for each Local health authority (Lha) of the Lazio Region. In order to assess the impact of the epidemic, a comparison was made between the results observed in 2019 and those observed in 2020. RESULTS: As an example, the results of one of the 10 Lhas of the Lazio Region have been reported. Compared to 2019, in 2020 there was an improvement in primary and ambulatory healthcare regarding all of the evaluated areas, with the exception of the metabolic area which remained stable. "Avoidable" hospitalizations have decreased, such as those for heart failure, Copd and diabetes. The incidence of cardio-cerebrovascular events following myocardial infarction or ischemic stroke has decreased, and inappropriate visits to emergency room have reduced. Furthermore, after decades of overprescribing, the use of drugs with a high risk of inappropriateness, such as antibiotics and aerosolized corticosteroids, has significantly decreased. DISCUSSION: The TreeMap has proven to be a valid tool for evaluating the quality of primary care, summarizing evidence from different and heterogeneous indicators. The improvements in quality levels observed in 2020, compared to 2019, should be interpreted with extreme caution because they could represent a paradox generated by the indirect effects of the Sars-CoV-2 epidemic. If, in the case of the epidemic, the distorting factors can be easily identified, in different and more ordinary evaluative analyses the "research for the causes" could be much more complex.

[Methodology and rules for measuring adherence: beyond the doctor-patient combination.] / Metodologia e regole per misurare l'aderenza: oltre il binomio medico-paziente.

Observational studies report low adherence to chronic polytherapy indicated by the international guidelines for the secondary prevention of acute myocardial infarction. However, current scientific evidence does not allow to quantify how much of the distance from the guidelines is attributable to the patient's behavior, to the providers of local care (general practitioners, district, Local Health Authority) or to the hospital of discharge. A cohort of about 17,600 patients with incident myocardial infarction, discharged from hospitals of Lazio region was selected, with the aim to measure the adherence in real clinical practice. Pharmaceutical prescriptions recorded in the two years following discharge were collected and analyzed. Results show low adherence to polytherapy and substantial intra-regional variability and identify in the hospital of discharge the care setting most responsible for the variability found in adherence levels, even after two years from acute episode.

Chronic polytherapy after myocardial infarction: the trade-off between hospital and community-based providers in determining adherence to medication.

BACKGROUND: The benefits of chronic polytherapy in reducing readmissions and death after myocardial infarction (MI) have been clearly shown. However, real-world evidence shows poor medication adherence and large geographic variation, suggesting critical issues in access to optimal care. Our objectives were to measure adherence to polytherapy, to compare the amount of variation attributable to hospitals of discharge and to community-based providers, and to identify determinants of adherence to medications. METHODS: This is a population-based study. Data were obtained from the information systems of the Lazio and Tuscany Regions, Italy (9.5 million inhabitants). Patients hospitalized with incident MI in 2010-2014 were analyzed. The outcome measure was medication adherence, defined as a Medication Possession Ratio (MPR) ≥ 0.75 for at least 3 of the following drugs: antiplatelets, ß-blockers, ACEI/ARBs, statins. A 2-year cohort-study was performed. Cross-classified multilevel models were applied to analyze geographic variation. The variance components attributable to hospitals of discharge and community-based providers were expressed as Median Odds Ratio (MOR). RESULTS: A total of 32,962 patients were enrolled. About 63% of patients in the Lazio cohort and 59% of the Tuscan cohort were adherent to chronic polytherapy. Women and patients aged 85 years and over were most at risk of non-adherence. In both regions, adherence was higher for patients discharged from cardiology wards (Lazio: OR = 1.58, p < 0.001, Tuscany: OR = 1.59, p < 0.001) and for patients with a percutaneous coronary intervention during the index admission. Relevant variation between community-based providers was observed, though when the hospital of discharge was included as a cross-classified level, in both Lazio and Tuscany regions the variation attributable to hospitals of discharge was the only significant component (Lazio: MOR = 1.30, p = 0.001; Tuscany: MOR = 1.31, p = 0.001). CONCLUSION: Adherence to best practice treatments after MI is not consistent with clinical guidelines, and varies between patient groups as well as within and between regions. The variation attributable to providers is affected by the hospital of discharge, up to two years from the acute episode. This variation is likely to be attributable to hospital discharge processes, and could be reduced through appropriate policy levers.

Adherence to evidence-based drug therapies after myocardial infarction: is geographic variation related to hospital of discharge or primary care providers? A cross-classified multilevel design.

OBJECTIVES: To measure the adherence to polytherapy after myocardial infarction (MI), to compare the proportions of variation attributable to hospitals of discharge and to primary care providers, and to identify determinants of adherence to medications. SETTING: This is a population-based study. Data were obtained from the Information Systems of the Lazio Region, Italy (5 million inhabitants). PARTICIPANTS: Patients hospitalised with incident MI in 2007-2010. OUTCOME MEASURE: The outcome was chronic polytherapy after MI. Adherence was defined as a medication possession ratio ≥0.75 for at least three of the following drugs: antiplatelets, ß-blockers, ACEI angiotensin receptor blockers, statins. DESIGN AND ANALYSIS: A 2-year cohort study was performed. Cross-classified multilevel models were applied to analyse geographic variation and compare proportions of variability attributable to hospitals of discharge and primary care providers. The variance components were expressed as median ORs MORs. If the MOR is 1.00, there is no variation between clusters. If there is considerable between-cluster variation, the MOR will be large. RESULTS: A total of 9606 patients were enrolled. About 63% were adherent to chronic polytherapy. Adherence was higher for patients discharged from cardiology wards (OR=1.56 vs other wards, p<0.001) and for patients with general practitioners working in group practice (OR=1.14 vs single-handed, p=0.042). A relevant variation in adherence was detected between local health districts (MOR=1.24, p<0.001). When introducing the hospital of discharge as a cross-classified level, the variation between local health districts decreased (MOR=1.13, p=0.020) and the variability attributable to hospitals of discharge was significantly higher (MOR=1.37, p<0.001). CONCLUSIONS: Secondary prevention pharmacotherapy after MI is not consistent with clinical guidelines. The relevant geographic variation raises equity issues in access to optimal care. Adherence was influenced more by the hospital that discharged the patient than by the primary care providers. Cross-classified models proved to be a useful tool for defining priority areas for more targeted interventions.