scholarly journals Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study (Preprint)

2020 ◽  
Author(s):  
Danny T Y Wu ◽  
Chen Xin ◽  
Shwetha Bindhu ◽  
Catherine Xu ◽  
Jyoti Sachdeva ◽  
...  
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Collaborative Care ◽  
Mobile Apps ◽  
Data Interpretation ◽  
Health Data ◽  
Design Guidelines ◽  
Mixed Methods Study ◽  
Semistructured Interviews ◽  
Mhealth Apps

BACKGROUND Patient-generated health data (PGHD) have been largely collected through mobile health (mHealth) apps and wearable devices. PGHD can be especially helpful in mental health, as patients’ illness history and symptom narratives are vital to developing diagnoses and treatment plans. However, the extent to which clinicians use mental health–related PGHD is unknown. OBJECTIVE A mixed methods study was conducted to understand clinicians’ perspectives on PGHD and current mental health apps. This approach uses information gathered from semistructured interviews, workflow analysis, and user-written mental health app reviews to answer the following research questions: (1) What is the current workflow of mental health practice and how are PGHD integrated into this workflow, (2) what are clinicians’ perspectives on PGHD and how do they choose mobile apps for their patients, (3) and what are the features of current mobile apps in terms of interpreting and sharing PGHD? METHODS The study consists of semistructured interviews with 12 psychiatrists and clinical psychologists from a large academic hospital. These interviews were thematically and qualitatively analyzed for common themes and workflow elements. User-posted reviews of 56 sleep and mood tracking apps were analyzed to understand app features in comparison with the information gathered from interviews. RESULTS The results showed that PGHD have been part of the workflow, but its integration and use are not optimized. Mental health clinicians supported the use of PGHD but had concerns regarding data reliability and accuracy. They also identified challenges in selecting suitable apps for their patients. From the app review, it was discovered that mHealth apps had limited features to support personalization and collaborative care as well as data interpretation and sharing. CONCLUSIONS This study investigates clinicians’ perspectives on PGHD use and explored existing app features using the app review data in the mental health setting. A total of 3 design guidelines were generated: (1) improve data interpretation and sharing mechanisms, (2) consider clinical workflow and electronic health record integration, and (3) support personalized and collaborative care. More research is needed to demonstrate the best practices of PGHD use and to evaluate their effectiveness in improving patient outcomes.

scholarly journals Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study

10.2196/18123 ◽  
2020 ◽  
Vol 4 (8) ◽  
pp. e18123
Author(s):  
Danny T Y Wu ◽  
Chen Xin ◽  
Shwetha Bindhu ◽  
Catherine Xu ◽  
Jyoti Sachdeva ◽  
...  
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Collaborative Care ◽  
Mobile Apps ◽  
Data Interpretation ◽  
Health Data ◽  
Design Guidelines ◽  
Mixed Methods Study ◽  
Semistructured Interviews ◽  
Mhealth Apps

Background Patient-generated health data (PGHD) have been largely collected through mobile health (mHealth) apps and wearable devices. PGHD can be especially helpful in mental health, as patients’ illness history and symptom narratives are vital to developing diagnoses and treatment plans. However, the extent to which clinicians use mental health–related PGHD is unknown. Objective A mixed methods study was conducted to understand clinicians’ perspectives on PGHD and current mental health apps. This approach uses information gathered from semistructured interviews, workflow analysis, and user-written mental health app reviews to answer the following research questions: (1) What is the current workflow of mental health practice and how are PGHD integrated into this workflow, (2) what are clinicians’ perspectives on PGHD and how do they choose mobile apps for their patients, (3) and what are the features of current mobile apps in terms of interpreting and sharing PGHD? Methods The study consists of semistructured interviews with 12 psychiatrists and clinical psychologists from a large academic hospital. These interviews were thematically and qualitatively analyzed for common themes and workflow elements. User-posted reviews of 56 sleep and mood tracking apps were analyzed to understand app features in comparison with the information gathered from interviews. Results The results showed that PGHD have been part of the workflow, but its integration and use are not optimized. Mental health clinicians supported the use of PGHD but had concerns regarding data reliability and accuracy. They also identified challenges in selecting suitable apps for their patients. From the app review, it was discovered that mHealth apps had limited features to support personalization and collaborative care as well as data interpretation and sharing. Conclusions This study investigates clinicians’ perspectives on PGHD use and explored existing app features using the app review data in the mental health setting. A total of 3 design guidelines were generated: (1) improve data interpretation and sharing mechanisms, (2) consider clinical workflow and electronic health record integration, and (3) support personalized and collaborative care. More research is needed to demonstrate the best practices of PGHD use and to evaluate their effectiveness in improving patient outcomes.

scholarly journals Does Quantitative Research in Child Maltreatment Tell the Whole Story? The Need for Mixed-Methods Approaches to Explore the Effects of Maltreatment in Infancy

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Samuel Glass ◽  
Ruchika Gajwani ◽  
Fiona Turner-Halliday
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Child Maltreatment ◽  
Quantitative Research ◽  
Qualitative Data ◽  
Quantitative Measurement ◽  
Social Care ◽  
Mixed Methods Study ◽  
Semistructured Interviews ◽  
Qualitative Exploration

Background and Aims.Research on child maltreatment has largely overlooked the under-five age group and focuses primarily on quantitative measurement. This mixed-methods study of maltreated children (N=92) entering care (age 6–60 months) combines a quantitative focus on the associations between care journey characteristics and mental health outcomes with a qualitative exploration of maltreatment in four different families.Methods.Care journey data was obtained from social care records; mental health and attachment assessments were carried out following entry to care; qualitative data comprised semistructured interviews with professionals, foster carers, and parents.Results.Significant associations were found between suspected sexual abuse and increased DAI inhibited attachment symptoms (p=0.001) and between reported domestic violence and decreased DAI inhibited (p=0.016) and disinhibited (p=0.004) attachment symptoms. Qualitative results: two themes demonstrate the complexity of assessing maltreatment: (1) overlapping maltreatment factors occur in most cases and (2) maltreatment effects may be particularly challenging to isolate. Conclusions.Qualitative exploration has underscored the complexity of assessing maltreatment, indicating why expected associations were not found in this study and posing questions for the quantitative measurement of maltreatment in general. We therefore suggest a new categorisation of maltreatment and call for the complimentary research lenses of further mixed-methods approaches.

scholarly journals SafeSpot: an innovative app and mental health support package for Scottish schools – a qualitative analysis as part of a mixed methods study

2020 ◽  
Vol 25 (2) ◽  
pp. 110-116
Author(s):  
Mallika Punukollu ◽  
Emma L. Leighton ◽  
Anna F. Brooks ◽  
Saoirse Heron ◽  
Fiona Mitchell ◽  
...  
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Mixed Methods Study ◽  
Mental Health Support ◽  
Health Support

scholarly journals Mental Health and Quality & Safety of Care in Czech Residential Institutions during the COVID-19 Pandemic: A Mixed-Methods Study

2021 ◽  
Author(s):  
Zoe Guerrero ◽  
Akmal-Alikhan Aliev ◽  
Lucie Kondrátová ◽  
Bibiána Jozefiaková ◽  
Natálie Nesázalová ◽  
...  
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Mixed Methods Study ◽  
Residential Institutions

scholarly journals Development of mental health indicators at the district level in Madhya Pradesh, India: mixed methods study

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Shalini Ahuja ◽  
Petra C. Gronholm ◽  
Rahul Shidhaye ◽  
Mark Jordans ◽  
Graham Thornicroft
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Health Indicators ◽  
Madhya Pradesh ◽  
District Level ◽  
Mixed Methods Study

scholarly journals Transforming mental health services: a participatory mixed methods study to promote and evaluate the implementation of recovery-oriented services

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Melissa M Park ◽  
Hiba Zafran ◽  
Janet Stewart ◽  
Jon Salsberg ◽  
Carolyn Ells ◽  
...  
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Mental Health Services ◽  
Health Services ◽  
Mixed Methods Study

scholarly journals Women’s experiences of diagnosis and management of polycystic ovary syndrome: a mixed-methods study in general practice

2020 ◽  
Vol 70 (694) ◽  
pp. e322-e329 ◽  
Author(s):  
Sarah C Hillman ◽  
Carol Bryce ◽  
Rachel Caleychetty ◽  
Jeremy Dale
Keyword(s):  
Mental Health ◽  
General Practice ◽  
Mixed Methods ◽  
Polycystic Ovary Syndrome ◽  
Mental Health Problems ◽  
Polycystic Ovary ◽  
Mixed Methods Study ◽  
Ovary Syndrome ◽  
Women’S Experiences ◽  
Women's Experiences

BackgroundPolycystic ovary syndrome (PCOS) is a common lifelong metabolic condition with serious associated comorbidities. Evidence points to a delay in diagnosis and inconsistency in the information provided to women with PCOS.AimTo capture women’s experiences of how PCOS is diagnosed and managed in UK general practice.Design and settingThis was a mixed-methods study with an online questionnaire survey and semi-structured telephone interviews with a subset of responders.MethodAn online survey to elicit women’s experiences of general practice PCOS care was promoted by charities and BBC Radio Leicester. The survey was accessible online between January 2018 and November 2018. A subset of responders undertook a semi-structured telephone interview to provide more in-depth data.ResultsA total of 323 women completed the survey (average age 35.4 years) and semi-structured interviews were conducted with 11 women. There were five key themes identified through the survey responses. Participants described a variable lag time from presentation to PCOS diagnosis, with a median of 6–12 months. Many had experienced mental health problems associated with their PCOS symptoms, but had not discussed these with the GP. Many were unable to recall any discussion about associated comorbidities with the GP. Some differences were identified between the experiences of women from white British backgrounds and those from other ethnic backgrounds.ConclusionFrom the experiences of the women in this study, it appears that PCOS in general practice is not viewed as a long-term condition with an increased risk of comorbidities including mental health problems. Further research should explore GPs’ awareness of comorbidities and the differences in PCOS care experienced by women from different ethnic backgrounds.

scholarly journals Predictors and Consequences of Veterans Affairs Mental Health Provider Burnout: Protocol for a Mixed Methods Study

10.2196/18345 ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. e18345
Author(s):  
Kara Zivin ◽  
Jennifer Kononowech ◽  
Matthew Boden ◽  
Kristen Abraham ◽  
Molly Harrod ◽  
...  
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Patient Outcomes ◽  
Primary Care Physicians ◽  
Quantitative Methods ◽  
Expert Panel ◽  
Veterans Affairs ◽  
Mixed Methods Study ◽  
Mental Health Provider ◽  
Health Administration

Background In the Veterans Health Administration (VHA), mental health providers (MHPs) report the second highest level of burnout after primary care physicians. Burnout is defined as increased emotional exhaustion and depersonalization and decreased sense of personal accomplishment at work. Objective This study aims to characterize variation in MHP burnout by VHA facility over time, identifying workplace characteristics and practices of high-performing facilities. Methods Using both qualitative and quantitative methods, we will evaluate factors that influence MHP burnout and their effects on patient outcomes. We will compile annual survey data on workplace conditions and annual staffing as well as productivity data to assess same and subsequent year provider and patient outcomes reflecting provider and patient experiences. We will conduct interviews with mental health leadership at the facility level and with frontline MHPs sampled based on our quantitative findings. We will present our findings to an expert panel of operational partners, Veterans Affairs clinicians, administrators, policy leaders, and experts in burnout. We will reengage with facilities that participated in the earlier qualitative interviews and will hold focus groups that share results based on our quantitative and qualitative work combined with input from our expert panel. We will broadly disseminate these findings to support the development of actionable policies and approaches to addressing MHP burnout. Results This study will assist in developing and testing interventions to improve MHP burnout and employee engagement. Our work will contribute to improvements within VHA and will generate insights for health care delivery, informing efforts to address burnout. Conclusions This is the first comprehensive, longitudinal, national, mixed methods study that incorporates different types of MHPs. It will engage MHP leadership and frontline providers in understanding facilitators and barriers to effectively address burnout. International Registered Report Identifier (IRRID) PRR1-10.2196/18345

scholarly journals Feasibility and Conceptualization of an e-Mental Health Treatment for Depression in Older Adults: Mixed-Methods Study

JMIR Aging ◽  
10.2196/10973 ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. e10973 ◽  
Author(s):  
Christiane Eichenberg ◽  
Markus Schott ◽  
Adam Sawyer ◽  
Georg Aumayr ◽  
Manuela Plößnig
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Mixed Methods ◽  
Mental Health Treatment ◽  
Mixed Methods Study ◽  
Health Treatment
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