scholarly journals Blended E-health module on return to work embedded in collaborative occupational health care for common mental disorders: design of a cluster randomized controlled trial

Author(s):  
Christina Van der Feltz-Cornelis ◽  
Volker ◽  
Vlasveld ◽  
Anema ◽  
Beekman ◽  
...  
2019 ◽  
Author(s):  
Salla Atkins ◽  
Tiia Reho ◽  
Nina Talola ◽  
Markku Sumanen ◽  
Mervi Viljamaa ◽  
...  

Abstract Background Prolonging working careers is a key policy goal in ageing populations in Europe, but reaching this goal is complex. Occupational health services are in the best position to contribute towards prolonging working careers, through preventing illnesses that cause work disability and early pensions. However, this requires close follow-up and recording of patient health status during consultations, as well as continuity of care. We aimed to determine whether a combined educational and electronic reminder system could improve the recording and follow-up of patient primary care visits in occupational health care, and through this, to impact on sickness absence rates. Methods This study is a pragmatic cluster randomized controlled trial using medical record data. Data were extracted from routine patient registers collected by Pihlajalinna Työterveys from 2015 to 2017. Data were cleaned and analysed intention-to-treat using ANCOVA. Results There was no significant difference between intervention and control sites in terms of sickness absences of different duration. Process indicators suggested that there was a change in physicians’ practice following the educational component of the intervention. Conclusion Education with an electronic reminder can change physicians’ practice, but longer term follow-up is needed to determine whether this impacts on patients’ sickness absences.


2019 ◽  
Author(s):  
Kaustubh Joag ◽  
Jasmine Kalha ◽  
Deepa Pandit ◽  
Susmita Chatterjee ◽  
Sadhvi Krishnamoorthy ◽  
...  

Abstract Background: While lay-health worker models for mental health care have proven to be effective in controlled trials, there is limited evidence on the effectiveness and scalability of these models in rural communities in low- and middle-income countries (LMICs). Atmiyata is a rural community-led intervention using local community volunteers, called Champions, to identify and provide evidence-based counselling for persons with common mental disorders (CMD) as part of a package of community-based interventions for mental health. Methods: The impact of the Atmiyata intervention is evaluated through a stepped wedge cluster randomized controlled trial (SW-CRCT) with a nested economic evaluation. The trial spans across 10 sub-blocks (645 villages) in Mehsana district with 1.52 million rural adult population. There are 56 primary health centers (PHCs) in Mehsana district and villages covered under these PHCs are equally divided into four groups of clusters of 14 PHCs each, and the intervention is rolled out in a staggered manner in these groups of villages at an interval of 5 months. The primary outcome is symptomatic improvement measured through the GHQ-12 at 3-month follow-up. Secondary outcomes include: quality of life using the EURO-QoL (EQ- 5D), symptom improvement measured by the Self-Reporting Questionnaire-20 (SRQ-20), functioning using the World Health Organization’s Disability Assessment Scale (WHO-DAS-12), depression symptoms using the Patient Health Questionnaire, (PHQ-9), anxiety symptoms using Generalized Anxiety Disorder Questionnaire, (GAD-7) and social participation using the Social Participation Scale (SPS). Generalized linear mixed effects model are employed for binary outcomes and linear mixed effects models for continuous outcomes. A Return on Investment (ROI) analysis of the intervention will be conducted to understand whether the intervention generates any return on financial investments made into the project.


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