A mobile data collection platform for mental health research

2011 ◽  
Vol 17 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Andrea Gaggioli ◽  
Giovanni Pioggia ◽  
Gennaro Tartarisco ◽  
Giovanni Baldus ◽  
Daniele Corda ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Health Research ◽  
Mental Health Research ◽  
Mobile Data ◽  
Mobile Data Collection

scholarly journals Compliance and Retention With the Experience Sampling Method Over the Continuum of Severe Mental Disorders: Meta-Analysis and Recommendations

10.2196/14475 ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. e14475 ◽  
Author(s):  
Hugo Vachon ◽  
Wolfgang Viechtbauer ◽  
Aki Rintala ◽  
Inez Myin-Germeys
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Psychotic Disorder ◽  
Health Research ◽  
Sampling Method ◽  
Meta Analysis ◽  
Experience Sampling Method ◽  
Mental Health Research ◽  
Retention Rates ◽  
Design Characteristics

Background Despite the growing interest in the experience sampling method (ESM) as a data collection tool for mental health research, the absence of methodological guidelines related to its use has resulted in a large heterogeneity of designs. Concomitantly, the potential effects of the design on the response behavior of the participants remain largely unknown. Objective The objective of this meta-analysis was to investigate the associations between various sample and design characteristics and the compliance and retention rates of studies using ESM in mental health research. Methods ESM studies investigating major depressive disorder, bipolar disorder, and psychotic disorder were considered for inclusion. Besides the compliance and retention rates, a number of sample and design characteristics of the selected studies were collected to assess their potential relationships with the compliance and retention rates. Multilevel random/mixed effects models were used for the analyses. Results Compliance and retention rates were lower for studies with a higher proportion of male participants (P<.001) and individuals with a psychotic disorder (P<.001). Compliance was positively associated with the use of a fixed sampling scheme (P=.02), higher incentives (P=.03), higher time intervals between successive evaluations (P=.02), and fewer evaluations per day (P=.008), while no significant associations were observed with regard to the mean age of the sample, the study duration, or other design characteristics. Conclusions The findings demonstrate that ESM studies can be carried out in mental health research, but the quality of the data collection depends upon a number of factors related to the design of ESM studies and the samples under study that need to be considered when designing such protocols.

scholarly journals An integrative review on methodological considerations in mental health research – design, sampling, data collection procedure and quality assurance

2019 ◽  
Vol 77 (1) ◽  
Author(s):  
Eric Badu ◽  
Anthony Paul O’Brien ◽  
Rebecca Mitchell
Keyword(s):  
Mental Health ◽  
Quality Assurance ◽  
Data Collection ◽  
Study Design ◽  
Health Research ◽  
Mental Health Research ◽  
Integrative Review ◽  
Methodological Issues ◽  
Team Members ◽  
Methodological Considerations

Abstract Background Several typologies and guidelines are available to address the methodological and practical considerations required in mental health research. However, few studies have actually attempted to systematically identify and synthesise these considerations. This paper provides an integrative review that identifies and synthesises the available research evidence on mental health research methodological considerations. Methods A search of the published literature was conducted using EMBASE, Medline, PsycINFO, CINAHL, Web of Science, and Scopus. The search was limited to papers published in English for the timeframe 2000–2018. Using pre-defined inclusion and exclusion criteria, three reviewers independently screened the retrieved papers. A data extraction form was used to extract data from the included papers. Results Of 27 papers meeting the inclusion criteria, 13 focused on qualitative research, 8 mixed methods and 6 papers focused on quantitative methodology. A total of 14 papers targeted global mental health research, with 2 papers each describing studies in Germany, Sweden and China. The review identified several methodological considerations relating to study design, methods, data collection, and quality assurance. Methodological issues regarding the study design included assembling team members, familiarisation and sharing information on the topic, and seeking the contribution of team members. Methodological considerations to facilitate data collection involved adequate preparation prior to fieldwork, appropriateness and adequacy of the sampling and data collection approach, selection of consumers, the social or cultural context, practical and organisational skills; and ethical and sensitivity issues. Conclusion The evidence confirms that studies on methodological considerations in conducting mental health research largely focus on qualitative studies in a transcultural setting, as well as recommendations derived from multi-site surveys. Mental health research should adequately consider the methodological issues around study design, sampling, data collection procedures and quality assurance in order to maintain the quality of data collection.

scholarly journals Developing a mobile data collection tool to manage a dispersed mental health workforce

2020 ◽  
Author(s):  
Sarah Maddox ◽  
Donna Read ◽  
Hazel Dalton ◽  
David Perkins ◽  
Nicholas Powell
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Health Workforce ◽  
Data Collection Tool ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Mental Health Workforce

scholarly journals Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (Preprint)

2018 ◽  
Author(s):  
Tjeerd W Boonstra ◽  
Jennifer Nicholas ◽  
Quincy JJ Wong ◽  
Frances Shaw ◽  
Samuel Townsend ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Literature Review ◽  
Mobile Phone ◽  
Health Research ◽  
Mental Health Research ◽  
Sensor Data ◽  
Sensor Technology ◽  
Battery Life ◽  
Behavioral Markers

BACKGROUND Mobile phone sensor technology has great potential in providing behavioral markers of mental health. However, this promise has not yet been brought to fruition. OBJECTIVE The objective of our study was to examine challenges involved in developing an app to extract behavioral markers of mental health from passive sensor data. METHODS Both technical challenges and acceptability of passive data collection for mental health research were assessed based on literature review and results obtained from a feasibility study. Socialise, a mobile phone app developed at the Black Dog Institute, was used to collect sensor data (Bluetooth, location, and battery status) and investigate views and experiences of a group of people with lived experience of mental health challenges (N=32). RESULTS On average, sensor data were obtained for 55% (Android) and 45% (iOS) of scheduled scans. Battery life was reduced from 21.3 hours to 18.8 hours when scanning every 5 minutes with a reduction of 2.5 hours or 12%. Despite this relatively small reduction, most participants reported that the app had a noticeable effect on their battery life. In addition to battery life, the purpose of data collection, trust in the organization that collects data, and perceived impact on privacy were identified as main factors for acceptability. CONCLUSIONS Based on the findings of the feasibility study and literature review, we recommend a commitment to open science and transparent reporting and stronger partnerships and communication with users. Sensing technology has the potential to greatly enhance the delivery and impact of mental health care. Realizing this requires all aspects of mobile phone sensor technology to be rigorously assessed.

Sign in / Sign up

Export Citation Format

Share Document