The authors tested the effectiveness and estimated the cost of several interventions aimed at reducing drug interactions in primary care by designing a 15-month cluster-controlled trial. The trial involved 265 family physicians and their patients who were randomized into 4 groups: control, report (received feedback reports), session (group sessions), and face-to-face (personal interviews). The outcome was the mean of relevant interactions detected on electronic medical records. Cost-effectiveness was defined as the incremental cost to reduce drug interactions by 1%. The authors detected a baseline mean of 6.7 interactions per 100 patients, which was reduced to 5.3 interactions after follow-up. No improvement was seen in the report group when compared with the control group, whereas progressive improvement in the other groups was noted (P < .001). Incremental cost was higher in the face-to-face group (69.4€ vs 50.7€); cost-effectiveness results were slightly better in the session group (4.2€ vs 4.5€).
1 in 20 Spanish citizens is currently undergoing a potential drug interaction, including a high rate of clinically relevant ones that should be avoided. These results confirm the existence of a serious safety issue that should be approached and where all parties involved (physicians, health services, medical societies and patients) must do our bit to improve. Health services should foster the implementation of prescription alert systems linked with electronic medical records including clinical data.
Although the Coronavirus disease 2019 (COVID-19) pandemic has generated a large amount of studies, the patient-perceived quality of care (PQ) in this context is still not well known, so more studies intending to focus on this issue are strongly needed. This study assesses changes on PQ in patients hospitalized in Spain during the first month of the COVID-19 pandemic and investigates differences between those admitted for this cause and the rest a descriptive study using the “Net Promoters Score” and the hospital regular monitoring plan. Due to this point of view, ethical approval is not applicable. Four PQ dimensions (nurse, physician, and nurse assistant actions [NA], and discharge information [DI]) were measured in all COVID patients (57) and in a sample of non-COVID patients (60) discharged at home during the first month of the pandemic, and also compared with another sample (384) from an immediately previous period. The COVID patients scored worse (8.2) than non-COVID ones (9.0; P < .0001), especially in NA and DI, and were more likely to be detractors (odds ratio [OR]: 3.05, P < .0001) and less to be promoters (OR: 0.64, P < .05). Global and DI net promoters score values before the pandemic were higher than afterward. In conclusion, the COVID-19 pandemic negatively and significantly influenced the health care quality as perceived by inpatients, both in COVID and in non-COVID ones, but more intensely in the former. As a health care organization, this knowledge meant an opportunity from improvement and to be better qualified to face the pandemic.
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