Background: Treatment for mental illness has shifted from focusing purely on treatment of symptoms to focusing on personal recovery. Patient activation is an important component of the recovery journey. Patient portals have shown promise to increase activation in primary and acute care settings, but the benefits to tertiary level mental health care remain unknown.
Objective: To conduct a benefits evaluation of a Web-based portal for patients undergoing treatment for serious or persistent mental illness in order to examine the effects on (1) patient activation, (2) recovery, (3) productivity, and (4) administrative efficiencies.
Methods: All registered inpatients and outpatients at a tertiary level mental health care facility were offered the opportunity to enroll and utilize the patient portal. Those who chose to use the portal and those who did not were designated as "users" and "nonusers," respectively. All patients received usual treatment. Users had Web-based access to view parts of their electronic medical record, view upcoming appointments, and communicate with their health care provider. Users could attend portal training or support sessions led by either the engagement coordinator or peer support specialists. A subset of patients who created and utilized their portal account completed 2 Web-based surveys at baseline (just after enrollment; n=91) and at follow-up (6 and 10 months; n=65). The total score of the Mental Health Recovery Measure (MHRM) was a proxy for patient activation and the individual domains measured recovery. The System and Use Survey Tool (SUS) examined the use of functions and general feedback about the portal. Organizational efficiencies were evaluated by examining the odds of portal users and nonusers missing appointments (productivity) or requesting information from health information management (administrative efficiencies) in the year before (2014) and the year after (2015) portal implementation.
Results: A total of 461 patients (44.0% male, n=203) registered for the portal, which was used 4761 times over the 1-year follow-up period. The majority of uses (95.34%, 4539/4761) were for e-views. The overall MHRM score increased from 70.4 (SD 23.6) at baseline to 81.7 (SD 25.1) at combined follow-up (P=.01). Of the 8 recovery domains, 7 were increased at follow-up (all P<.05). The odds of a portal user attending an appointment were 67% (CI 56%-79%) greater than that of nonusers over the follow-up period. Compared with 2014, over 2015 there was an 86% and 57% decrease in requests for information in users and nonusers, respectively. The SUS revealed that users felt an increased sense of autonomy and found the portal to be user-friendly, helpful, and efficient but felt that more information should be accessible.
Conclusions: The benefits evaluation suggested that access to personal health records via patient portals may improve patient activation, recovery scores, and organizational efficiencies in a tertiary level mental health care facility.
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http://dx.doi.org/10.2196/jmir.6483 | DOI Listing |
Pharmazie
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Department of Pharmacology and Toxicology, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.
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Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.
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School of Social Work, Hadassah Academic College, Jerusalem, Israel.
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View Article and Find Full Text PDFNPJ Digit Med
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Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PL, UK.
There is increasing use of digital tools to monitor people with psychosis and schizophrenia remotely, but using this type of data is challenging. This systematic review aimed to summarise how studies processed and analysed data collected through digital devices. In total, 203 articles collecting passive data through smartphones or wearable devices, from participants with psychosis or schizophrenia were included in the review.
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