scholarly journals P0194UNRAVELING FATIGUE IN HAEMODIALYSIS PATIENTS: A PLEA FOR THE USE OF MOBILE HEALTH EXPERIENCE SAMPLING METHODOLOGY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Astrid Brys ◽  
Frank Stifft ◽  
Caroline Van Heugten ◽  
Maurizio Bossola ◽  
Giovanni Gambaro ◽  
...  
Keyword(s):  
Real Time ◽  
Mobile Health ◽  
Daily Life ◽  
Experience Sampling ◽  
Related Factors ◽  
Sampling Methodology ◽  
Diurnal Variability ◽  
Experience Sampling Methodology ◽  
Fatigue Severity ◽  
Time Point

Abstract Background and Aims Fatigue is one of the most prioritized outcomes among haemodialyis (HD) patients with great impact on health-related quality of life. However, evidence-based therapies are lacking. A better understanding of fatigue symptoms and related behavioral, social and psychological factors in HD patients is of primary importance. Conventionally used fatigue measurement instruments, such as the Fatigue Severity Scale (FSS), only provide a general picture of fatigue severity and are prone to memory bias due to their retrospective nature. However, they cannot provide detailed insight in diurnal variations in fatigue and related factors in daily life. The Experience Sampling Methodology (ESM) overcomes these limitations by repeated “real-time” assessments in patients’ natural environments using digital questionnaires. The aims of this study were (i) to gain in-depth understanding of HD patients’ diurnal fatigue patterns and related variables using a mobile Health (mHealth) ESM application, (ii) to better understand the nature of their interrelationships, and (iii) to explore the relationship between real-time experience of fatigue and its retrospective assessment. Method Forty chronic HD patients used the mHealth ESM application for seven consecutive days to assess momentary fatigue and potentially related variables, including daily activities, self-reported physical activity, social company, location and mood patterns. In addition, patients retrospectively evaluated their fatigue experience over the preceding day and week by means of end-of-day, and end-of-week questionnaires and the FSS. Results Multilevel regression analyses of momentary observations (N=1778) revealed that fatigue varied between and within individuals (Fig.1). Fatigue was significantly related to type of daily activity and mood. Time-lagged analyses showed that HD treatment predicted higher fatigue scores at a later time point, β = 0.22, p = 0.013. Interestingly, higher momentary fatigue also significantly predicted more depressed feelings at a later time point, β = 0.05, p = 0.019, but not the other way around. Retrospective evaluation of fatigue experience over the preceding week was significantly higher than the average of momentary fatigue scores, t(38) = 3.54, p = 0.001. The FSS correlated moderately with the average of momentary fatigue scores, r = 0.63. Conclusion This study demonstrates diurnal variability of fatigue in chronic HD patients. It also corroborates a previous result from our research group showing that fatigue increases as a response to HD treatment (i.e. post-dialysis fatigue) and should, at least partially, be distinguished from a more general fatigue experience. Furthermore, our findings may suggest that depressed mood is secondary to fatigue in HD patients given their temporal relationship. Finally, retrospective fatigue assessment led to overestimation of the real-time fatigue experience. ESM offers novel insights in fatigue in HD patients by capturing informative symptom variability in the flow of daily life, which is not provided by conventional fatigue measures. Moreover, ESM provides personalized information about fatigue symptoms and their relationship with other variables in daily life, paving the way towards personalized interventions for HD patients.

scholarly journals mHealth-based experience sampling method to identify fatigue in the context of daily life in haemodialysis patients

2020 ◽  
Author(s):  
Astrid D H Brys ◽  
Frank Stifft ◽  
Caroline M Van Heugten ◽  
Maurizio Bossola ◽  
Giovanni Gambaro ◽  
...  
Keyword(s):  
Sampling Method ◽  
Daily Life ◽  
Experience Sampling ◽  
Natural Environments ◽  
Social Variables ◽  
Multilevel Regression ◽  
Related Factors ◽  
Symptom Variability ◽  
Time Lagged ◽  
Time Point

Abstract Background Fatigue in haemodialysis (HD) patients is a prevalent but complex symptom impacted by biological, behavioural, psychological and social variables. Conventional retrospective fatigue questionnaires cannot provide detailed insights into symptom variability in daily life and related factors. The experience sampling methodology (ESM) overcomes these limitations through repeated momentary assessments in patients’ natural environments using digital questionnaires. This study aimed to gain in-depth understanding of HD patients’ diurnal fatigue patterns and related variables using a mobile Health (mHealth) ESM application and sought to better understand the nature of their interrelationships. Methods Forty HD patients used the mHealth ESM application for 7 days to assess momentary fatigue and potentially related variables, including daily activities, self-reported physical activity, social company, location and mood. Results Multilevel regression analyses of momentary observations (n = 1777) revealed that fatigue varied between and within individuals. Fatigue was significantly related to HD treatment days, type of daily activity, mood and sleep quality. Time-lagged analyses showed that HD predicted higher fatigue scores at a later time point (β = 0.22, P = 0.013). Interestingly, higher momentary fatigue also significantly predicted more depressed feelings at a later time point (β = 0.05, P = 0.019) but not the other way around. Conclusions ESM offers novel insights into fatigue in chronic HD patients by capturing informative symptom variability in the flow of daily life. Electronic ESM as a clinical application may help us better understand fatigue in HD patients by providing personalized information about its course and relationship with other variables in daily life, paving the way towards personalized interventions.

Experience Sampling Methodology: A Systematic Review and Discussion for Organizational Research

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Ozge Can
Keyword(s):  
Data Collection ◽  
Total Duration ◽  
Experience Sampling ◽  
Workplace Relationships ◽  
Organization Studies ◽  
Organizational Research ◽  
Sampling Methodology ◽  
Experience Sampling Methodology ◽  
Current State ◽  
Methodological Aspects

In organizational research, growing attention has been given to the dynamic nature of workplace relationships and how such dynamic processes shape key behavioural outcomes. Experience sampling methodology (ESM) brings more opportunity than any other research option to examine such fluctuations and relevant causal relationships. ESM can be described as a quantitative method which allows individuals to assess discrete evaluative states on multiple events by combining three distinct elements; person, variables and occasion. Despite its increasing prevalence and popularity, however, there has been only a few attempts to investigate the most appropriate design, measurement and analysis choices for experience sampling data. Even though ESM has been utilized in organizational research for some time, systematic investigations regarding how these issues have been addressed and how the method has been applied to specific organizational topics are limited. This study provides a systematic and critical assessment of the use of ESM in current organizational research (2010‑2020) by reviewing a random sample of 50 ESM studies indexed in ISI Web of Science with the aim of identifying the current state of practice. The selected studies were analysed based on several methodological aspects including the type of ESM protocol applied, sample characteristics, data sources, specified interval and total duration of data collection, structure and properties of designated measures, analytic strategy, and the research model to be tested. Findings show that organization studies vary considerably based on how they design and implement ESM. Moreover, despite the availability of good practices, many studies fail to attain recommended standards about sample size, data collection procedures, data characteristics and measurement quality. As such, this paper offers several insights regarding how time‑based within‑person frameworks can be improved in future studies to account for dynamic organizational phenomena.

scholarly journals The Ups and Downs of Being Us: Cross-Relationship Comparisons in Daily Life

2021 ◽  
pp. 014616722110567
Author(s):  
Sabrina Thai ◽  
Penelope Lockwood ◽  
Elizabeth Page-Gould
Keyword(s):  
Daily Life ◽  
Cumulative Impact ◽  
Sampling Methodology ◽  
Experience Sampling Methodology ◽  
Self Perceptions ◽  
Relationship Processes ◽  
Partner Perceptions ◽  
The Impact ◽  
Over Time

Cross-relationship comparisons are an integral part of relationship processes, yet little is known about the impact of these comparisons in daily life. The present research employed a dyadic experience-sampling methodology ( N = 78 couples) with end-of-day surveys, end-of-week follow-up, and a 6-month follow-up to examine how individuals make cross-relationship comparisons in daily life, the cumulative impact of these comparisons over time, and the dyadic consequences of such comparisons. Participants made more downward than upward comparisons; however, upward comparisons had a more lasting impact, resulting in decreased satisfaction and optimism, and less positive self-perceptions and partner perceptions, at the end of each day and the week. Individuals who made more upward comparisons were also less satisfied 6 months later. Individuals were also affected by their partner’s comparisons: On days when partners made more upward comparisons, they felt less satisfied and optimistic about their relationship and less positive about themselves and their partner.

scholarly journals Studying Micro-Temporal, Within-Person Processes of Diet, Physical Activity and Related Factors Using the APPetite-Mobile-App: Evaluation of Feasibility, Usability, and Validity (Preprint)

2020 ◽  
Author(s):  
Alea Ruf ◽  
Elena Doris Koch ◽  
Ulrich Ebner-Priemer ◽  
Monika Knopf ◽  
Andreas Reif ◽  
...  
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Energy Intake ◽  
Daily Life ◽  
Mobile App ◽  
Food Record ◽  
Related Factors ◽  
System Usability Scale ◽  
24 Hour Recall ◽  
Healthy Participants

BACKGROUND Diet and physical activity (PA) have a major impact on physical as well as mental health. However, there is a lack of effective strategies to sustain health-protective behaviors. Studying micro-temporal, within-person processes underlying eating behavior and PA in daily life is an important next step in the improvement of interventional approaches. Yet, a tool which allows capturing these processes in daily life is so far missing. OBJECTIVE The APPetite-mobile-app was developed for the ecological momentary assessment (EMA) of micro-temporal, within-person processes of complex dietary behavior, objectively recorded PA, and related factors. This study evaluated the feasibility and usability of the APPetite-mobile-app as well as the validity of the incorporated APPetite-food record. METHODS The APPetite-mobile-app captures dietary intake event-contingent through a prospective food record, PA continuously through accelerometers, and related factors (eg, stress) signal-contingent through 8 prompts per day. Empirical data on feasibility (n=157) and usability (n=84) as well as validity (n=44) were collected within the Eat2beNICE-APPetite-study. Feasibility and usability were examined in healthy participants and psychiatric patients. Relative validity of the APPetite-food record was assessed in a subgroup of healthy participants using a cross-over-counterbalanced design. The reference method was a 24-hour recall. Additionally, energy intake was compared to total energy expenditure (TEE) estimated from accelerometry. RESULTS Good feasibility with compliance rates above 80% for the prompts and the accelerometer as well as reasonable average response and recording durations (prompt: 2.04 minutes, food record per day: 17.66 minutes) and latencies (prompts: 3.16 minutes, food record: 58.35 minutes) was found. Usability was rated moderate with a score of 61.9/100 in the System Usability Scale. The evaluation of validity identified large differences in energy and macronutrients intake between the two methods on the group as well as individual level. The APPetite-food record captured higher dietary intakes, indicating a lower level of underreporting compared to the 24-hour recall. Energy intake was assessed fairly accurate by the APPetite-food record on the group level on 2 of 3 days when compared to TEE. The comparison with mean TEE (2417.8 kcal) showed that the 24-hour recall (1909.2 kcal) underestimated habitual energy intake to a larger degree than the APPetite-food record (2146.4 kcal). CONCLUSIONS The APPetite-mobile-app is a promising tool to capture micro-temporal, within-person processes of diet, PA, and related factors in real time or near real time and is, to the best of our knowledge, the first of its kind. First evidence supports good feasibility and moderate usability of the APPetite-mobile-app as well as validity of the APPetite-food record. Future findings in the context of micro-temporal, within-person processes of diet, PA and related factors will build the foundation for the development of personalized lifestyle modification interventions, such as just in-time adaptive interventions.

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