scholarly journals Expert Consensus Survey on Digital Health Tools for Patients With Serious Mental Illness: Optimizing for User Characteristics and User Support (Preprint)

2018 ◽  
Author(s):  
Ainslie Hatch ◽  
Julia E Hoffman ◽  
Ruth Ross ◽  
John P Docherty
Keyword(s):  
Health Care ◽  
Mental Illness ◽  
Serious Mental Illness ◽  
Health Care Professionals ◽  
Digital Health ◽  
Unintended Consequences ◽  
Expert Consensus ◽  
User Characteristics ◽  
Potential Benefits ◽  
And Training

BACKGROUND Digital technology is increasingly being used to enhance health care in various areas of medicine. In the area of serious mental illness, it is important to understand the special characteristics of target users that may influence motivation and competence to use digital health tools, as well as the resources and training necessary for these patients to facilitate the use of this technology. OBJECTIVE The aim of this study was to conduct a quantitative expert consensus survey to identify key characteristics of target users (patients and health care professionals), barriers and facilitators for appropriate use, and resources needed to optimize the use of digital health tools in patients with serious mental illness. METHODS A panel of 40 experts in digital behavioral health who met the participation criteria completed a 19-question survey, rating predefined responses on a 9-point Likert scale. Consensus was determined using a chi-square test of score distributions across three ranges (1-3, 4-6, 7-9). Categorical ratings of first, second, or third line were designated based on the lowest category into which the CI of the mean ratings fell, with a boundary >6.5 for first line. Here, we report experts’ responses to nine questions (265 options) that focused on (1) user characteristics that would promote or hinder the use of digital health tools, (2) potential benefits or motivators and barriers or unintended consequences of digital health tool use, and (3) support and training for patients and health care professionals. RESULTS Among patient characteristics most likely to promote use of digital health tools, experts endorsed interest in using state-of-the-art technology, availability of necessary resources, good occupational functioning, and perception of the tool as beneficial. Certain disease-associated signs and symptoms (eg, more severe symptoms, substance abuse problems, and a chaotic living situation) were considered likely to make it difficult for patients to use digital health tools. Enthusiasm among health care professionals for digital health tools and availability of staff and equipment to support their use were identified as variables to enable health care professionals to successfully incorporate digital health tools into their practices. The experts identified a number of potential benefits of and barriers to use of digital health tools by patients and health care professionals. Experts agreed that both health care professionals and patients would need to be trained in the use of these new technologies. CONCLUSIONS These results provide guidance to the mental health field on how to optimize the development and deployment of digital health tools for patients with serious mental illness.

scholarly journals Expert Consensus Survey on Digital Health Tools for Patients With Serious Mental Illness: Optimizing for User Characteristics and User Support

2018 ◽  
Vol 5 (2) ◽  
pp. e46 ◽  
Author(s):  
Ainslie Hatch ◽  
Julia E Hoffman ◽  
Ruth Ross ◽  
John P Docherty
Keyword(s):  
Health Care ◽  
Mental Illness ◽  
Serious Mental Illness ◽  
Health Care Professionals ◽  
Digital Health ◽  
Unintended Consequences ◽  
Expert Consensus ◽  
User Characteristics ◽  
Potential Benefits ◽  
And Training

Background Digital technology is increasingly being used to enhance health care in various areas of medicine. In the area of serious mental illness, it is important to understand the special characteristics of target users that may influence motivation and competence to use digital health tools, as well as the resources and training necessary for these patients to facilitate the use of this technology. Objective The aim of this study was to conduct a quantitative expert consensus survey to identify key characteristics of target users (patients and health care professionals), barriers and facilitators for appropriate use, and resources needed to optimize the use of digital health tools in patients with serious mental illness. Methods A panel of 40 experts in digital behavioral health who met the participation criteria completed a 19-question survey, rating predefined responses on a 9-point Likert scale. Consensus was determined using a chi-square test of score distributions across three ranges (1-3, 4-6, 7-9). Categorical ratings of first, second, or third line were designated based on the lowest category into which the CI of the mean ratings fell, with a boundary >6.5 for first line. Here, we report experts’ responses to nine questions (265 options) that focused on (1) user characteristics that would promote or hinder the use of digital health tools, (2) potential benefits or motivators and barriers or unintended consequences of digital health tool use, and (3) support and training for patients and health care professionals. Results Among patient characteristics most likely to promote use of digital health tools, experts endorsed interest in using state-of-the-art technology, availability of necessary resources, good occupational functioning, and perception of the tool as beneficial. Certain disease-associated signs and symptoms (eg, more severe symptoms, substance abuse problems, and a chaotic living situation) were considered likely to make it difficult for patients to use digital health tools. Enthusiasm among health care professionals for digital health tools and availability of staff and equipment to support their use were identified as variables to enable health care professionals to successfully incorporate digital health tools into their practices. The experts identified a number of potential benefits of and barriers to use of digital health tools by patients and health care professionals. Experts agreed that both health care professionals and patients would need to be trained in the use of these new technologies. Conclusions These results provide guidance to the mental health field on how to optimize the development and deployment of digital health tools for patients with serious mental illness.

scholarly journals Mental Health Recovery: Evaluation of a Recovery-Oriented Training Program

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
G. K. M. L. Wilrycx ◽  
M. A. Croon ◽  
A. H. S. van den Broek ◽  
Ch. van Nieuwenhuizen
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Illness ◽  
Mental Health Care ◽  
Training Program ◽  
Serious Mental Illness ◽  
Health Care Professionals ◽  
Interrupted Time Series ◽  
Knowledge And Attitudes ◽  
Using Data

Aim. This study investigates the effectiveness of a recovery-oriented training program on knowledge and attitudes of mental health care professionals towards recovery of people with serious mental illness.Methods. Using data from a longitudinal study of recovery, changes in knowledge and attitudes of 210 mental health care professionals towards recovery were explored using the Recovery Attitude Questionnaire and the Recovery Knowledge Inventory. The study uses a two-group multiple intervention interrupted time-series design which is a variant of the stepped-wedge trial design. A total of six measurements occasions took place.Results. This study shows that professionals' attitudes towards recovery from mental illness can improve with training. After two intensive recovery-oriented training sessions, mental health care professionals have a more positive attitude towards recovery in clinical practice.Conclusion. A recovery-oriented training program can change attitudes of mental health care professionals towards recovery of serious mental illness.

Experiences of Volunteers Supporting Parents Following a Fatal Fetal Anomaly Diagnosis

2021 ◽  
pp. 104973232098783
Author(s):  
Stacey Power ◽  
Keelin O’Donoghue ◽  
Sarah Meaney
Keyword(s):  
Health Care ◽  
Peer Support ◽  
Thematic Analysis ◽  
Health Care Professionals ◽  
Fetal Anomaly ◽  
Voluntary Organizations ◽  
Face To Face ◽  
Bereaved Parents ◽  
Collaborative Working ◽  
And Training

Ireland has had a reliance on voluntary groups to provide peer-to-peer bereavement support. The aim of this study was to explore volunteers’, within these voluntary groups, experiences of supporting parents following a fatal fetal anomaly diagnosis. Purposive sampling was used to recruit volunteers ( n = 17) and face-to-face interviews undertaken. NVivo12 was utilized to assist in the thematic analysis of the data. Five themes; “motivation for altruistic acts,” “being challenged,” “value of education and training,” “supporting volunteers to support others,” and “it is not a sprint, it is a marathon” were identified. Volunteers felt comfortable in their peer-support role but found the lack of knowledge regarding newly implemented termination of pregnancy (TOP) services challenging. The importance of education/training was identified, emphasizing the need for collaboration with health care professionals and other voluntary organizations for support. The findings illustrate the need for collaborative working between health care professionals and volunteers to assist them in supporting bereaved parents.

scholarly journals A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach

2020 ◽  
Vol 4 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Lynn Rochester ◽  
Claudia Mazzà ◽  
Arne Mueller ◽  
Brian Caulfield ◽  
Marie McCarthy ◽  
...  
Keyword(s):  
Health Care ◽  
Clinical Trials ◽  
Health Care Professionals ◽  
Digital Health ◽  
Disease Status ◽  
Proximal Femoral Fracture ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Physical Mobility ◽  
High Level

Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need for tools to facilitate remote visits and monitoring. Digital health technology, including body-worn devices, offers a solution using digital outcomes to measure and monitor disease status and provide outcomes meaningful to both patients and health care professionals. Remote monitoring of physical mobility is a prime example, because mobility is among the most advanced modalities that can be assessed digitally and remotely. Loss of mobility is also an important feature of many health conditions, providing a read-out of health as well as a target for intervention. Real-world, continuous digital measures of mobility (digital mobility outcomes or DMOs) provide an opportunity for novel insights into health care conditions complementing existing mobility measures. Accepted and approved DMOs are not yet widely available. The need for large collaborative efforts to tackle the critical steps to adoption is widely recognised. Mobilise-D is an example. It is a multidisciplinary consortium of 34 institutions from academia and industry funded through the European Innovative Medicines Initiative 2 Joint Undertaking. Members of Mobilise-D are collaborating to address the critical steps for DMOs to be adopted in clinical trials and ultimately health care. To achieve this, the consortium has developed a roadmap to inform the development, validation and approval of DMOs in Parkinson’s disease, multiple sclerosis, chronic obstructive pulmonary disease and recovery from proximal femoral fracture. Here we aim to describe the proposed approach and provide a high-level view of the ongoing and planned work of the Mobilise-D consortium. Ultimately, Mobilise-D aims to stimulate widespread adoption of DMOs through the provision of device agnostic software, standards and robust validation in order to bring digital outcomes from concept to use in clinical trials and health care.

Can employment in a café change Clientele Attitude towards the staff when they are Persons with Mental Illness?

2021 ◽  
pp. 002076402199006
Author(s):  
Sailaxmi - Gandhi ◽  
Sangeetha Jayaraman ◽  
Thanapal Sivakumar ◽  
Annie P John ◽  
Anoop Joseph ◽  
...  
Keyword(s):  
Health Care ◽  
Mental Illness ◽  
Mentally Ill ◽  
Health Care Professionals ◽  
Negative Attitude ◽  
Chi Square ◽  
Community Needs ◽  
Descriptive Research ◽  
Study Results ◽  
Self Administered Questionnaire

Background: Clientele’s attitude toward Persons with Mental Illness (PwMI) changes over a period of time. The aim of this study was to explore and understand how and whether perception about PwMI changes when they are seen working like persons without mental illness among those availing services of ROSes café at NIMHANS, Bengaluru. Methods: The descriptive research design was adopted with purposive sampling. Community Attitude toward Mentally Ill (CAMI) a self -administered questionnaire of was administered to measure the clientele attitude towards staff with mental illness in ROSes Café (Recovery Oriented Services). A total of 256 subjects availing services from the ROSes café recruited in the study. Chi-square and Mann–Whitney U test was computed to see the association and differences on selected variables. Results: The present study results showed that subjects had a positive attitude seen in health care professionals in the domains of benevolence (BE) (28.68 ± 3.00) and community mental health ideology (CMHI) (31.53 ± 3.19), whereas non-health care professionals had showed negative attitude in the domain of authoritarianism (AU) (30.54 ± 3.42) and social restrictiveness (SR) (30.18 ± 3.05). Education, employment, marital, income, and working status were significantly associated with CAMI domains. Conclusion: PwMI also can work like people without mental illness when the opportunities are provided. The community needs to regard mental illness in the same manner as chronic physical illness diabetes mellitus and allow PwMI to live a life of dignity by creating and offering opportunities to earn livelihood which would help them recover with their illnesses.

scholarly journals Using Peer Navigators to Address the Integrated Health Care Needs of Homeless African Americans With Serious Mental Illness

2017 ◽  
Vol 68 (3) ◽  
pp. 264-270 ◽  
Author(s):  
Patrick W. Corrigan ◽  
Dana J. Kraus ◽  
Susan A. Pickett ◽  
Annie Schmidt ◽  
Ed Stellon ◽  
...  
Keyword(s):  
Health Care ◽  
Mental Illness ◽  
African Americans ◽  
Serious Mental Illness ◽  
Integrated Health Care ◽  
Health Care Needs ◽  
Care Needs ◽  
Integrated Health

scholarly journals Opportunities and Challenges Surrounding the Use of Data From Wearable Sensor Devices in Health Care: Qualitative Interview Study (Preprint)

2020 ◽  
Author(s):  
Ijeoma Azodo ◽  
Robin Williams ◽  
Aziz Sheikh ◽  
Kathrin Cresswell
Keyword(s):  
Health Care ◽  
Digital Health ◽  
Wearable Sensors ◽  
Unintended Consequences ◽  
Wearable Sensor ◽  
Use Of Data ◽  
Qualitative Interview Study ◽  
Sensor Devices ◽  
Care Technology ◽  
International Experts

BACKGROUND Wearable sensors connected via networked devices have the potential to generate data that may help to automate processes of care, engage patients, and increase health care efficiency. The evidence of effectiveness of such technologies is, however, nascent and little is known about unintended consequences. OBJECTIVE Our objective was to explore the opportunities and challenges surrounding the use of data from wearable sensor devices in health care. METHODS We conducted a qualitative, theoretically informed, interview-based study to purposefully sample international experts in health care, technology, business, innovation, and social sciences, drawing on sociotechnical systems theory. We used in-depth interviews to capture perspectives on development, design, and use of data from wearable sensor devices in health care, and employed thematic analysis of interview transcripts with NVivo to facilitate coding. RESULTS We interviewed 16 experts. Although the use of data from wearable sensor devices in health and care has significant potential in improving patient engagement, there are a number of issues that stakeholders need to negotiate to realize these benefits. These issues include the current gap between data created and meaningful interpretation in health and care contexts, integration of data into health care professional decision making, negotiation of blurring lines between consumer and medical care, and pervasive monitoring of health across previously disconnected contexts. CONCLUSIONS Stakeholders need to actively negotiate existing challenges to realize the integration of data from wearable sensor devices into electronic health records. Viewing wearables as active parts of a connected digital health and care infrastructure, in which various business, personal, professional, and health system interests align, may help to achieve this.

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