ObjectiveMedication administration errors (MAEs) are a common risk to patient safety in mental health hospitals, but an absence of in-depth studies to understand the underlying causes of these errors limits the development of effective remedial interventions. This study aimed to investigate the causes of MAEs affecting inpatients in a mental health National Health Service (NHS) hospital in the North West of England.MethodsRegistered and student mental health nurses working in inpatient psychiatric units were identified using a combination of direct advertisement and incident reports and invited to participate in semi-structured interviews utilising the critical incident technique. Interviews were designed to capture the participants’ experiences of inpatient MAEs. All interviews were transcribed verbatim and subject to framework analysis to illuminate the underlying active failures, error/violation-provoking conditions and latent failures according to Reason’s model of accident causation.ResultsA total of 20 participants described 26 MAEs (including 5 near misses) during the interviews. The majority of MAEs were skill-based slips and lapses (n = 16) or mistakes (n = 5), and were caused by a variety of interconnecting error/violation-provoking conditions relating to the patient, medicines used, medicines administration task, health care team, individual nurse and working environment. Some of these local conditions had origins in wider organisational latent failures. Recurrent and influential themes included inadequate staffing levels, unbalanced staff skill mix, interruptions/distractions, concerns with how the medicines administration task was approached and problems with communication.ConclusionsTo our knowledge this is the first published in-depth qualitative study to investigate the underlying causes of specific MAEs in a mental health hospital. Our findings revealed that MAEs may arise due to multiple interacting error and violation provoking conditions and latent ‘system’ failures, which emphasises the complexity of this everyday task facing practitioners in clinical practice. Future research should focus on developing and testing interventions which address key local and wider organisational ‘systems’ failures to reduce error.

Introduction Headaches associated with personal protective equipment were reported in health-care workers in previous epidemiological studies. Methods National web-based survey advertised by the Portuguese Headache Society and National Headache and Migraine patient´s organization between September-December 2020 screening for personal protective equipment usage pattern, pre-existing and de novo headaches after the onset of the COVID-19 pandemic, and its relation to personal protective equipment use. Results Of 5064 participants, 90.6% (4562/5034) were women, mean age was 37.2 ± 11 years. Most questions had a completion rate above 87% (non-completion rate ranging from 0–12.7%). Twenty percent were health-care professionals (993/5046). Surgical and cloth masks were the most common personal protective equipment type, whereas protective eyewear and FFP2/FFP3 masks were mostly used by health-care professionals. About 97% (1814/1870) of migraine and headache participants reported aggravation of pre-existing headaches with personal protective equipment use, and 56% (2476/4420) had de novo headaches. Participants with de novo headaches had a higher frequency of pre-existing migraine (1118/1226, 91.2% vs 1408/1600, 88%, P = .042), and wore personal protective equipment for longer periods of time (7 ± 2 h 42 vs 6 ± 2 h 54 min per day, P < .001). In multivariate analysis longer mean duration of personal protective equipment use (OR of 1.1, 95% CI 1–1.2) and previous migraine (OR of 1.2, 95% CI 1–1.4) were predictors of developing de novo headaches. Conclusions Almost all participants with pre-existing headache reported worsening of their headaches, and more than half of the study population developed de novo headaches following personal protective equipment use. Duration of personal protective equipment usage and pre-existing migraine were the strongest predictors of de novo headaches.

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