Publications by authors named "M Harma"

Aim: To investigate concurrent changes in short shift intervals (< 11 h) and workload among hospital employees.

Design And Data Sources: This cohort study of 1904 employees in one hospital district in Finland utilised data on employees' working hours for short shift intervals and workload based on the patient classifications aggregated to a 3-week period level across 2 years, 2018-2019. The data was analysed by group-based trajectory modelling and multinominal regression models.

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Article Synopsis
  • - The study analyzed data from 2052 psychiatric hospitalizations in Finland in 2018 to understand factors influencing readmissions, looking at things like patient demographics, diagnoses, and treatment methods.
  • - Findings revealed that 11% of patients were readmitted within 30 days, while 33% faced readmission within a year, with certain groups such as women and those with specific mental health diagnoses being more prone to readmission.
  • - The research suggests the need for more tailored psychiatric care based on identified risk factors, especially for children and adolescents, while noting that treatment duration and ward overload did not significantly impact readmission rates.
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This article used register data on day-to-day working hours of hospital employees combined with patient characteristics at work unit (wards) level to measure workload and its implications for short, self-certified sickness absences. We measured statistically the average nursing treatment burden of different patient mixes in hospital wards, and then analyzed the overall workload (intensity) of working days by comparing it to the actual available nursing workforce. We found that a significant part of the workload variation occurred between working days, and it was related to unexpected changes in the number of employees.

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Objective: Leisure-time physical activity (PA) has been hypothesized to reduce the likelihood of occupational injuries, but it is unclear whether this association varies between workplace and commuting injuries. The aim of this study was to examine the association between PA and risk of workplace and commuting injuries.

Methods: Data were derived from the Finnish Public Sector study including 82 716 person-observations (48 116 participants).

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Background: The COVID-19 pandemic was characterised by rapid waves of disease, carried by the emergence of new and more infectious SARS-CoV-2 virus variants. How the pandemic unfolded in various locations during its first two years has yet to be sufficiently covered. To this end, here we are looking at the circulating SARS-CoV-2 variants, their diversity, and hospitalisation rates in Estonia in the period from March 2000 to March 2022.

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