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BMC Health Serv Res
September 2022
Research Unit for General Practice, NORCE Norwegian Research Centre, Bergen, Norway.
Background: There is growing evidence of variation in treatment for patients with depression, not only across patient characteristics, but also with respect to the organizational and structural framework of general practitioners' (GPs') practice. However, the reasons for these variations are sparsely examined. This study aimed to investigate associations of practice characteristics with provision of depression care in general practices in Norway.
View Article and Find Full Text PDFBMC Health Serv Res
July 2021
Research Unit for General Practice, NORCE Norwegian Research Centre, Årstadveien 17, N-5009, Bergen, Norway.
Background: Depression is highly prevalent, but knowledge is scarce as to whether increased public awareness and strengthened government focus on mental health have changed how general practitioners (GPs) help their depressed patients. This study aimed to examine national time trends in GP depression care and whether trends varied regarding patient gender, age, and comorbidity.
Methods: Nationwide registry-based cohort study, Norway.
BMC Public Health
April 2015
Swedish Social Insurance Inspectorate, Box 202, SE-101 24, Stockholm, Sweden.
Background: This register study aims to increase the knowledge on how common it is that sickness benefit recipients are sick-listed for as long as their physician prescribes in their medical sickness certificate, i.e. sick-listing adherence, or wholly/partly bring return-to-work (RTW) forward, i.
View Article and Find Full Text PDFScand J Public Health
February 2015
Swedish Social Insurance Inspectorate, Sweden
Aim: The aims of this study were to investigate how common it is to change primary diagnosis between different diagnostic chapters during a sick-leave spell, and to explore patterns of diagnostic changes.
Methods: The unit for analysis was episode of sickness benefit, that is, sick leave >14 days, which commenced between 2010 and 2012 in Sweden. For each case, the primary diagnosis was retrieved from the first and last/latest medical sickness certificate, respectively.
Scand J Prim Health Care
June 2014
Department of Primary Health Care, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden.
Objective: To explore how well physicians and patients predict sick-listing duration and the correspondence between their respective predictions. To study possible gender differences concerning prediction accuracy.
Design: Prospective observational study.
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