Using Self-report to Study How Application affect Motivation of Behavior Change (Preprint)

2020 ◽  
Author(s):  
Yuan Yin ◽  
Yurong Yu
Keyword(s):  
Behavior Change ◽  
Self Report ◽  
Group Method ◽  
Behavior Changes ◽  
Technology Design ◽  
Factors Affecting ◽  
Negative Results ◽  
Long Time ◽  
Ecological Momentary ◽  
Positive Effect

BACKGROUND Currently, changing behaviors with the assistance of mobile applications has been popularized. However, most of the participants are unable to persist in participating in behavior-changing activities for a long time. Some researchers have studied what factors motivate people to maintain behaviors-changing actions. There has been controversy about whether the commonly used triggers, negative results or competitions, could motivate behavior changes. In the meantime, the main methodology these researchers have been using is to conduct experiments, from which data was collected from subjects’ recalling previous behavior changing. The experiments are time-consuming, and the results can be unreliable. To resolve this problem, the Ecological Momentary Assessment (EMA) was developed to record real-time feedback. However, the EMA unavoidably increases the workload of the subjects. OBJECTIVE This study investigated the factors affecting behavior change, especially from the motivation aspect. Additionally, this paper attempted to identify a way to record human behavior changes without increasing the subjects’ workload. METHODS The methodology of “self-report” was adopted to report how people’s views regarding the behavior-changing intervention. To achieve a balance between workload and being timely, the self-reporting data was recorded once a day. After the 28-day “self-report” experiment, the “focus group” method was used to gather people’s feedback on behavior changing process. RESULTS This paper identified 9 factors: cooperation, competition, award, understandable graphic, reminder and alarm, trust and willing, gender, relation with disease and environmental factors). These factors could affect motivation of behavior changing. Besides, we found that negative results could be a motivation for behavior changing. In the experiment, we also found that a small number of subjects tended to cheat for a more “beautiful” result. The last part of the paper has presented possible implications for technology design to facilitate behavior-changing. CONCLUSIONS In particular, (i) the research promoted the possibility of cheating when recording data which is ignored by existing research and will make the digital applications less useful; (ii) the results show that not all cooperation is needed to lead to a positive effect; (iii) the research identified the negative results caused by over-competition in behavior change. Finally, the paper proposes technology design directions should focus on giving motivation through keeping dairy, negative results feedback and avoid cheating.

scholarly journals SUGGESTIONS FOR BEHAVIOR-INTERVENTION DESIGN PRACTITIONERS: FROM BEHAVIOR CHANGE MOTIVATIONS FOR CHINESE AGED 18 TO 25

2021 ◽  
Vol 1 ◽  
pp. 2781-2790
Author(s):  
Yuan Yin ◽  
Yurong Yu
Keyword(s):  
Behavior Change ◽  
Group Discussion ◽  
Behavior Intervention ◽  
Self Report ◽  
Intervention Design ◽  
Recording Medium ◽  
Negative Data ◽  
Future Behavior ◽  
Disease Information ◽  
Long Time

AbstractUsing applications to change behaviors is a popular trend in recent years as mobiles are the easiest recording medium for users. However, few users can keep the behavior change for a long time. The aim of this study is to investigate motivations of keeping an application-tracked behavior change to provide effective and promote effective and targeted suggestions for application-tracked behavior intervention design practitioners and researchers. A 28-day self-report experiment and following “focus group” discussion have been conducted to detect the possible motivations. The results indicated 8 motivations which can affect maintaining behavior change: cooperation, competition, award, reminder and alarm, trust and willingness, relation with disease information and unplanned events. In addition, the results explore some motivations from negative data in applications or the cheating for good performance data behavior. At the same time, the study suggested the functions needed in future behavior change applications.

scholarly journals ABCD Analysis of Task Shifting – An optimum Alternative Solution to Professional Healthcare Personnel Shortage

2017 ◽  
pp. 36-51
Author(s):  
Architha Aithal ◽  
P. S. Aithal
Keyword(s):  
Health Care ◽  
Health Care Professionals ◽  
Organizational Health ◽  
Task Shifting ◽  
Strategic Decision ◽  
Healthcare Personnel ◽  
Group Method ◽  
Factors Affecting ◽  
Long Time ◽  
Optimum Solution

Task shifting is an optimum alternate solution in the healthcare system to address the acute shortage of professionally qualified healthcare workers in developing countries. This will temporarily help in solving the big problem of providing quality and timely health services to the needy people. Despite many trained health care professionals, our health care system is struggling to provide optimum services to the patients due to many reasons including the high burden of infectious diseases, emigration of trained professionals, difficult working conditions, and low motivation by country governments. Even though, the permanent solution to this problem is to create more professional doctors by increasing training courses, training facilities through modifying government policies and enhancing resources to do so, such actions and resultant solutions take a long time to realize in practice. Hence a quick optimum solution is needed to address the critical shortage of trained healthcare professionals. It is logically argued and in many places practically proven that out of many alternatives, the best alternative for healthcare executives in any hospital of primary health centres is the strategic decision of thinking and implementing the so called strategy of taskshifting. In this paper, we have analysed the process of task-shifting by considering its advantages, benefits, constraints, and disadvantages using an analysing technique called ABCD analysing framework. As per the ABCD framework, the various determinant issues of related to the task shifting for organizational health service performance are identified using focus group method are : (1) Organizational Issue, (2) Alternative Acceptors Issue, (3) Donor Physicians Issue, (4) Patients and Relatives Issue (5) Societal Issue, and (6) Country Issue. Each determinant issue has sub-issues called key attributes used for analyzing the advantages, benefits, constraints, and disadvantages which are the four major constructs of the framework. The factors affecting the various determinant issues of for task shifting for each key issues under four constructs are derived and 172 critical constituent elements (CCE) of these factors are listed under the ABCD constructs.

The Impact of Coping Strategies on Situational Coping in Daily Life: An Ecological Momentary Assessment Study with the mHealth application TrackYourStress (Preprint)

2020 ◽  
Author(s):  
Teresa O'Rourke ◽  
Carsten Vogel ◽  
Dennis John ◽  
Rüdiger Pryss ◽  
Johannes Schobel ◽  
...  
Keyword(s):  
Social Support ◽  
Coping Strategies ◽  
Daily Life ◽  
Stress Coping ◽  
Positive Thinking ◽  
Active Stress ◽  
Situational Coping ◽  
Ecological Momentary ◽  
The Impact ◽  
Positive Effect

BACKGROUND It is necessary to cope with situations in daily life to prevent stress-related health consequences. However, coping strategies might differ in their impact on dealing with stressful situations in daily life. Moreover, the effect of coping strategies on situational coping might differ between women and men. OBJECTIVE The aim of this study was to investigate the impact of coping strategies on situational coping in everyday life situations and to investigate gender differences. METHODS An ecological momentary assessment study with the mobile health app TrackYourStress (TYS) was conducted with 113 participants. Coping strategies were measured at baseline with the coping scales Positive Thinking, Active Stress Coping, Social Support, Support in Faith, and Alcohol and Cigarette Consumption of the Stress and Coping Inventory (SCI). Situational coping was assessed by the question “How well can you cope with your momentary stress-level” (slider 0-100) in daily life over four weeks. Multilevel models were conducted to test the effects of the coping strategies on situational coping. Additionally, gender differences were evaluated. RESULTS Positive Thinking (P=.03) and Active Stress Coping (P=.04) had significant positive impacts on situational coping in the total sample. For women, only Social Support had a significant positive effect on situational coping (P=.046). For men, only Active Stress Coping had a significant positive effect on situational coping (P=.001). Women had higher scores on the SCI scale Social Support than men (P=.007). CONCLUSIONS These results suggest that different coping strategies could be more effective in daily life for women than for men, which should be considered in the development of interventions aimed at reducing stress consequences through coping. Interventions taking gender into consideration might lead to better coping-outcomes than generalized interventions.

Reactions of First-Year Men to Rape Prevention Program: Attitude and Predicted Behavior Changes

NASPA Journal ◽  
2006 ◽  
Vol 43 (3) ◽  
Author(s):  
John D. Foubert ◽  
Jerry Tatum ◽  
Greg A. Donahue
Keyword(s):  
Behavior Change ◽  
Prevention Program ◽  
Rape Prevention ◽  
First Year ◽  
Behavior Changes ◽  
Willingness To Intervene ◽  
Intimate Encounters

First-year men (261) saw a rape prevention program and were asked to give their reactions to what they saw by answering four open-ended questions, requesting information about whether participants experience either attitude or behavior change resulting from the program, particularly in relation to situations involving alcohol and sexually intimate encounters. Some participants reported no effects on their attitudes or behavior. However, substantial numbers of participants reported an increased willingness to intervene as bystanders if they see a situation that might turn into a rape. Others reported that they would be more careful in their own intimate encounters. The potential for later behavior change was indicated by at least 60% of program participants.

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

scholarly journals Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocol

2021 ◽  
Vol 7 ◽  
pp. 205520762098821
Author(s):  
Stephanie P Goldstein ◽  
Adam Hoover ◽  
E Whitney Evans ◽  
J Graham Thomas
Keyword(s):  
Weight Loss ◽  
Eating Behavior ◽  
Ecological Momentary Assessment ◽  
Structured Interview ◽  
Self Report ◽  
Significant Weight Loss ◽  
Clinically Significant ◽  
Ecological Momentary ◽  
Momentary Assessment ◽  
Lapse Behavior

Objectives Behavioral obesity treatment (BOT) produces clinically significant weight loss and health benefits for many individuals with overweight/obesity. Yet, many individuals in BOT do not achieve clinically significant weight loss and/or experience weight regain. Lapses (i.e., eating that deviates from the BOT prescribed diet) could explain poor outcomes, but the behavior is understudied because it can be difficult to assess. We propose to study lapses using a multi-method approach, which allows us to identify objectively-measured characteristics of lapse behavior (e.g., eating rate, duration), examine the association between lapse and weight change, and estimate nutrition composition of lapse. Method We are recruiting participants (n = 40) with overweight/obesity to enroll in a 24-week BOT. Participants complete biweekly 7-day ecological momentary assessment (EMA) to self-report on eating behavior, including dietary lapses. Participants continuously wear the wrist-worn ActiGraph Link to characterize eating behavior. Participants complete 24-hour dietary recalls via structured interview at 6-week intervals to measure the composition of all food and beverages consumed. Results While data collection for this trial is still ongoing, we present data from three pilot participants who completed EMA and wore the ActiGraph to illustrate the feasibility, benefits, and challenges of this work. Conclusion This protocol will be the first multi-method study of dietary lapses in BOT. Upon completion, this will be one of the largest published studies of passive eating detection and EMA-reported lapse. The integration of EMA and passive sensing to characterize eating provides contextually rich data that will ultimately inform a nuanced understanding of lapse behavior and enable novel interventions. Trial registration: Registered clinical trial NCT03739151; URL: https://clinicaltrials.gov/ct2/show/NCT03739151

scholarly journals Core Elements Affecting Sharing: Evidence from the United States

2021 ◽  
Vol 13 (7) ◽  
pp. 3943
Author(s):  
Aurelija Burinskienė ◽  
Edita Leonavičienė ◽  
Virginija Grybaitė ◽  
Olga Lingaitienė ◽  
Juozas Merkevičius
Keyword(s):  
United States ◽  
The United States ◽  
Collaborative Consumption ◽  
Factors Affecting ◽  
Use Of Resources ◽  
Personal Consumption ◽  
Depth Analysis ◽  
Core Elements ◽  
Long Time ◽  
Number Of Visits

The new phenomenon called sharing or collaborative consumption emerged a decade ago and is continuously growing. It creates new possibilities for society, and especially for business, is beneficial for the environment, makes more efficient use of resources, and presents a new competitive business model. The scientific literature lacks a more in-depth analysis of the factors influencing sharing activity growth; therefore, the paper’s authors attempt to fill this gap. The authors aim to identify the factors affecting the use of sharing platforms. To reach the goal, the authors developed a regression model and constructed a list of 71 variables. The study used monthly United States data from January 2017 to June 2020 from the publicly available Federal Reserve Economic Data (FRED)and Google trends databases. The comparison to other indexes proves that the proposed index, representing the number of visits to sharing platforms (SEP), is a unique one. The first index allowed us to revise the sharing activity monthly. The authors identified that variables such as wage level, social network users, import level, and personal consumption are critical in affecting the number of visits to sharing platforms. The presented framework could be helpful for practitioners and policymakers analysing the stimulation of sharing or collaborative consumption. It includes indicators representing different areas, such as society, technology, and country, and allows for monthly investigations. Such activity was evident for a long time when online platforms contributed to its wider accessibility. The results help to forecast the number of visits monthly. Sharing is still an emerging area for research; thus, the authors tried to explore the phenomenon of sharing to expand the conceptual level of knowledge.

Cross-Study, Cross-Method Associations Between Negative Urgency and Internalizing Symptoms

Assessment ◽  
2021 ◽  
pp. 107319112098388
Author(s):  
Kevin M. King ◽  
Max A. Halvorson ◽  
Kevin S. Kuehn ◽  
Madison C. Feil ◽  
Liliana J. Lengua
Keyword(s):  
Depressive Symptoms ◽  
Ecological Momentary Assessment ◽  
Internalizing Symptoms ◽  
Negative Emotions ◽  
Anxiety Symptoms ◽  
Negative Emotionality ◽  
Self Report ◽  
Negative Urgency ◽  
Ecological Momentary ◽  
Momentary Assessment

There is a small body of research that has connected individual differences in negative urgency, the tendency to report rash actions in response to negative emotions, with self-report depressive and anxiety symptoms. Despite the conceptual overlap of negative urgency with negative emotionality, the tendency to experience frequent and intense negative emotions, even fewer studies have examined whether the association of negative urgency with internalizing symptoms hold when controlling for negative emotionality. In the current study, we estimated the bivariate association between negative urgency and internalizing symptoms, tested whether they remained significant after partialling out negative emotionality, and tested whether these effects generalized to real-time experiences of negative emotions. We used data from five independent samples of high school and college students, assessed with global self-report ( n = 1,297) and ecological momentary assessment ( n = 195). Results indicated that in global self-report data, negative urgency was moderately and positively associated with depressive and anxiety symptoms, and the partial association with depressive symptoms (but not anxiety symptoms) controlling for negative emotionality remained significant and moderate in magnitude. This pattern was replicated in ecological momentary assessment data. Negative urgency may convey risk for depressive symptoms, independent of the effects of negative emotionality.

scholarly journals Comparison of In-Situ and Retrospective Self-Reports on Assessing Hearing Aid Outcomes

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Elizabeth Stangl ◽  
Octav Chipara ◽  
Anna Gudjonsdottir ◽  
Jacob Oleson ◽  
...  
Keyword(s):  
Hearing Aids ◽  
Hearing Aid ◽  
Outcome Data ◽  
Self Report ◽  
Data Collection And Analysis ◽  
Self Reports ◽  
Outcome Difference ◽  
The Difference ◽  
Ecological Momentary

Abstract Background Ecological momentary assessment (EMA) is a methodology involving repeated surveys to collect in-situ self-reports that describe respondents' current or recent experiences. Audiology literature comparing in-situ and retrospective self-reports is scarce. Purpose To compare the sensitivity of in-situ and retrospective self-reports in detecting the outcome difference between hearing aid technologies, and to determine the association between in-situ and retrospective self-reports. Research Design An observational study. Study Sample Thirty-nine older adults with hearing loss. Data Collection and Analysis The study was part of a larger clinical trial that compared the outcomes of a prototype hearing aid (denoted as HA1) and a commercially available device (HA2). In each trial condition, participants wore hearing aids for 4 weeks. Outcomes were measured using EMA and retrospective questionnaires. To ensure that the outcome data could be directly compared, the Glasgow Hearing Aid Benefit Profile was administered as an in-situ self-report (denoted as EMA-GHABP) and as a retrospective questionnaire (retro-GHABP). Linear mixed models were used to determine if the EMA- and retro-GHABP could detect the outcome difference between HA1 and HA2. Correlation analyses were used to examine the association between EMA- and retro-GHABP. Results For the EMA-GHABP, HA2 had significantly higher (better) scores than HA1 in the GHABP subscales of benefit, residual disability, and satisfaction (p = 0.029–0.0015). In contrast, the difference in the retro-GHABP score between HA1 and HA2 was significant only in the satisfaction subscale (p = 0.0004). The correlations between the EMA- and retro-GHABP were significant in all subscales (p = 0.0004 to <0.0001). The strength of the association ranged from weak to moderate (r = 0.28–0.58). Finally, the exit interview indicated that 29 participants (74.4%) preferred HA2 over HA1. Conclusion The study suggests that in-situ self-reports collected using EMA could have a higher sensitivity than retrospective questionnaires. Therefore, EMA is worth considering in clinical trials that aim to compare the outcomes of different hearing aid technologies. The weak to moderate association between in-situ and retrospective self-reports suggests that these two types of measures assess different aspects of hearing aid outcomes.

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