2015
DOI: 10.1186/s12888-015-0614-7
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Client perceptions of the mental health engagement network: a qualitative analysis of an electronic personal health record

Abstract: BackgroundInformation technologies such as websites, mobile phone applications, and virtual reality programs have been shown to deliver innovative and effective treatments for mental illness. Much of the research studying electronic mental health interventions focuses on symptom reduction; however, to facilitate the implementation of electronic interventions in usual mental health care, it is also important to investigate the perceptions of clients who will be using the technologies. To this end, a qualitative… Show more

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Cited by 44 publications
(63 citation statements)
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“…In just five studies [23,24,26,33,36] were we able to find negative impacts of patient portals on the following clusters: patientcenteredness (6 mentions), delivery system (4 mentions), performance management (1 mention) and interpersonal teamwork (1 mention) (see Table 5). …”
Section: Sub-question D: Which Mechanisms Are Negatively Correlated Wmentioning
confidence: 99%
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“…In just five studies [23,24,26,33,36] were we able to find negative impacts of patient portals on the following clusters: patientcenteredness (6 mentions), delivery system (4 mentions), performance management (1 mention) and interpersonal teamwork (1 mention) (see Table 5). …”
Section: Sub-question D: Which Mechanisms Are Negatively Correlated Wmentioning
confidence: 99%
“…According to four studies [24,26,33,36], patient portals can have a negative impact on patient-centeredness in several ways. For example, one study [24] found that patients thought the portal still did not provide all the relevant health information online: "I'd like to be able to see all of my lab results."…”
Section: Cluster 1 Patient-centerednessmentioning
confidence: 99%
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“…Qualitative accounts of mHealth apps in the care for people with schizophrenia are sparse [27][28][29][30]. Such accounts may help to provide a specific and contextual understanding of how an mHealth app works in a real life setting, rather than just quantitatively confirm or disconfirm an expected outcome of its use.…”
mentioning
confidence: 99%