The role of adolescent loneliness in adult mental health and prescriptions of psychotropic drugs remains underexplored.

We aim to determine whether (a) experiencing loneliness in adolescence and (b) changes in loneliness from adolescence to adulthood are prospectively associated with prescriptions for a variety of psychotropic drugs in adulthood.

We used data from a Norwegian population-based sample with 2602 participants, collected across four waves between 1992 and 2006. Loneliness was assessed at each wave, with survey data linked to medicinal drug prescription records from the Norwegian Prescription Database. We identified prescription histories of antipsychotics, mood stabilisers, antidepressants and benzodiazepines from 2007 to 2015, for each participant. We use latent growth curve analyses to model the relationship of adolescent loneliness and loneliness change from adolescence to adulthood, with subsequent psychotropic drugs prescription.

Adolescents with heightened loneliness, and adolescents whose loneliness increased into young adulthood, had a greater likelihood of being prescribed antipsychotics, mood stabilisers and antidepressants in adulthood. These associations remained significant after adjustment for confounders such as sociodemographic characteristics, conduct problems, substance use and mental health problems.

Loneliness in adolescence and its adverse development over a span of 15 years was linked to higher risk of receiving prescriptions for antipsychotics, mood stabilisers and antidepressants later in life. The findings may indicate that loneliness increases the risk for developing psychotic disorders, bipolar disorders and major depression.

Otitis externa is a common condition managed by junior doctor-led ENT clinics in secondary/tertiary care, but no national guidelines exist for presentations in these settings. The aim of this study was to implement a treatment algorithm to support junior doctors and improve otitis externa management.

Baseline data were retrospectively collected for 16 weeks. A standardised otitis externa treatment algorithm was then implemented, and 16 weeks of data prospectively gathered. A second improvement cycle was completed thereafter focusing on topical antibiotics and water precaution advice.

Overall, 202 cases of otitis externa managed between November 2021 to October 2022 were reviewed. Following the interventions, topical antibiotic prescribing improved (p = 0.01) as well as the provision of water precaution advice (p < 0.01). Junior doctors trended towards reviewing patients more frequently but required less senior support.

Our treatment algorithm empowers junior doctors to become more independent in their management of otitis externa and improves overall otitis externa treatment.

To evaluate the quality of prescription writing in the context of public primary health care.

Prescription errors are one of the leading patient safety problems in primary care and can be caused by errors in therapeutic decisions or in the quality of prescription writing.

Cross-sectional observational study conducted in a municipality in Northeastern Brazil. The assessment instrument (including 13 indicators and one composite indicator) was applied to a representative sample of drug prescriptions from the 24 Family Health Teams providing Primary Health Care in the municipality, dispensed in January 2021. Estimates of compliance and their 95% confidence intervals and graphical analysis of frequencies are assessed globally and stratified by dispensing units and prescribers.

The average composite prescription writing quality on a 0-100 scale was 60.2 (95% CI 57.8–62.6). No quality criteria had 100% compliance. The highest compliance rates were found for ‘frequency of administration’ (98.9%) and ‘identification of the prescriber’ (98.9%). On the other hand, ‘recorded information on allergy’ (0.0%), ‘patient’s date of birth’ (1.7%), ‘nonpharmacological recommendations’ (1.7%), and ‘guidance on the use of the drug’ (25%) were the indicators with lower compliance, contributing to 69% of the noncompliances found. The type and frequency of the errors in the quality of prescription writing uncovered in this study confirm the continuing need to tackle this problem to improve patient safety. The results identify priority aspects for interventions and further studies on the quality of prescription writing in the context of Primary Health Care in Brazil.

The most common medical decision is the prescription of medicines. More than 130 different drugs with proven efficacy are currently available for the treatment of patients with mental disorders.

The aim was to use routine data available at a patient’s admission to the hospital to predict polypharmacy and drug-drug interactions (DDI).

The study used data obtained from a large clinical pharmacovigilance study sponsored by the Innovations Funds of the German Federal Joint Committee. It included all inpatient episodes admitted to eight psychiatric hospitals in Hesse, Germany, over two years. We used gradient boosting to predict respective outcomes. We tested the performance of our final models in unseen patients from another calendar year and separated the study sites used for training from the study sites used for performance testing.

A total of 53,909 episodes were included in the study. The models’ performance, as measured by the area under the ROC, was “excellent” (0.83) and “acceptable” (0.72) compared to common benchmarks for the prediction of polypharmacy and DDI, respectively. Both models were substantially better than a naive prediction based solely on basic diagnostic grouping.

This study has shown that polypharmacy and DDI at a psychiatric hospital can be predicted from routine data at patient admission. These predictions could support an efficient management of benefits and risks of hospital prescriptions, for instance by including pharmaceutical supervision early after admission for patients at risk before pharmacological treatment is established

This work was supported by the Innovations Funds of the German Federal Joint Committee (grant number: 01VSF16009). The funding body played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscrip

Whether smoking should be regarded as a risk factor for mental disorders remains unresolved. Prescribed psychotropic drugs can be used as indications for mental disorders. We investigated how smoking was prospectively related to prescription of antipsychotics, mood stabilizers, antidepressants, and anxiolytics.

Information about smoking, including the Fagerström Test for Nicotine Dependence, and relevant confounders, were obtained from the population-based Young in Norway Study (N = 2602), with four data collection waves between 1992 and 2006. These survey data were linked with information on prescriptions for psychotropic drugs from the comprehensive, nationwide Norwegian Prescription Database from 2007 to 2015.

Daily smoking with high dependence in 2006 at age 28.5 (s.d. = 2.0) was associated with filling prescriptions of antipsychotics (OR, 6.57, 95% CI 2.19–19.70, p = 0.001), mood stabilizers (OR, 7.11, 95% CI 2.51–20.15, p < 0.001) and antidepressants (OR, 1.91, 95% CI 1.13–3.23, p = 0.016) 1–9 years later. Associations remained significant after adjustment for a variety of potential confounders measured before the assessment of smoking, including sociodemographic background, conduct problems, cannabis use, mental distress, and previous prescriptions for psychotropic medications. The association between smoking and prescription of anxiolytics was weaker and more unstable.

In this study of young adults, daily smoking with high dependence was associated with later prescriptions of antipsychotics, mood stabilizers and antidepressants, indicating smoking as a risk factor for mental disorders treated with these drugs.