China
Africa
Explore chapters and articles related to this topic
Emerging Methods for Patient Ergonomics
Published in Richard J. Holden, Rupa S. Valdez, The Patient Factor, 2021
Mustafa Ozkaynak, Laurie Lovett Novak, Yong K. Choi, Rohit Ashok Khot
The use of sensor technology for data collection is appealing due to its objective collection of physiological, behavioral, and environmental data about patients and their home environments. This circumvents the limitations of conventional data collection methods, such as journaling, which rely on subjective experience and recall (see also Chapter 9 in this volume). Results from subjective measures are prone to recall bias, which produces systematic error when study participants cannot remember previous events or experiences or else report them inconsistently (Althubaiti, 2016). Therefore, subjective data may not accurately reflect the patient’s actual behaviors, limiting actionable insights.
Human Health Studies
Published in Barry L. Johnson, Impact of Hazardous Waste on Human Health, 2020
A summary of 18 symptom-and-illness prevalence studies is given in Table 5.13. Symptom-and-illness prevalence studies have several limitations and shortcomings. Recall bias can be a problem; that is, persons’ memories of health problems and related events can be faulty. Self-reporting of adverse health events has been thought by some to be subject to some degree of bias for reason of economic gain or attention. On the positive side, this kind of study can be useful in designing hypothesis-generating investigations; for example, investigating a pattern of respiratory health complaints through pulmonary-function testing.
Responding to the FinTech challenge
Published in Robin Teigland, Shahryar Siri, Anthony Larsson, Alejandro Moreno Puertas, Claire Ingram Bogusz, The Rise and Development of FinTech, 2018
Undeniably, interviews incur a risk of “recall bias” (Riegelman, 2005). This has been handled by providing the interviewees with a clear characterization and articulation of the research question. Moreover, the application of an interview guide allowed for a standardized mode of data collection. Assuredly, each interviewee was given sufficient time before responding so that they could reflect on the situation and provide an answer in line with how they perceived the situation (Hassan, 2006).
What travel modes do shared e-scooters displace? A review of recent research findings
Published in Transport Reviews, 2023
Kailai Wang, Xiaodong Qian, Dillon Taylor Fitch, Yongsung Lee, Jai Malik, Giovanni Circella
Asking retrospective counterfactual survey questions for the last trips or previous travel patterns to measure e-scooter mode substitution and complementary effects has the advantage over most geospatial analyses. The survey questions can reduce implicit bias. That is because today’s geospatial analyses usually do not have explicit information on how an individual conducts travel activities before and after the adoption of e-scooters (e.g. Bai & Jiao, 2020; Caspi, Smart, & Noland, 2020; Mathew, Liu, Seeder, Li, & Bullock, 2019; McKenzie, 2019; Younes et al., 2020). Furthermore, asking respondents to report counterfactual information for the last trip helps reduce the eventual recall bias that would be otherwise associated with the use of alternative survey questions. We admit that recall bias occurs due to several factors, such as increased time elapsed from the focal time period, ambiguous survey questions, social preferences, and the motivation of participants (Thigpen, 2019).
Comparisons of musculoskeletal injuries among three different modalities of Taekwondo (Kyorugi, Poomsae, and Shibum): a one-year follow-up prospective epidemiologic study
Published in Research in Sports Medicine, 2021
Hyunji Doo, Donghyeon Kim, Chaerin Kim, Seo Young Lee, Jihong Park
In Kyorugi, our results of injury rate in training (41.5/1,000 AEs and 21.6/1,000 TEs) and competition (142.9/1,000 AEs and 1,072.3/1,000 TEs) are higher than those reported in previous studies in training (Lystad et al., 2015: 11.8/1,000 AEs and 7.1/1,000 TEs; Park & Song, 2018: 26.1/1,000 AEs and 5.9/1,000 TEs) and competition (Pieter et al., 2012: 20.6 to 168.4 per 1,000 AEs). We believe that the differences were attributed to the definition of an injury. While the threshold used in previous TKD injury reports was medical attention (Altarriba-Bartes et al., 2014; Lystad et al., 2013, 2015; Park & Song, 2018; Pieter et al., 2010; Soligard et al., 2017; Ziaee et al., 2010) or time loss (Lystad et al., 2015), our study had another criterion (the VNRS ≥ 2). The VNRS is a convenient and simple evaluation tool, and widely used (Karcioglu et al., 2018). This low threshold allowed us to include the minor injuries that could possibly be missed in survey type retrospective studies (Covarrubias et al., 2015; Yang et al., 2012). Recall bias (Althubaiti, 2016) is one of the drawbacks in studies with the retrospective study design (e.g., survey type questionnaires), which may result in underestimation or overestimation of events. Our study design, prospective real-time data collection, could also explain why we observed higher incidence rates.
Cross-sectional associations between the diversity of sport activities and the type of low back pain in adulthood
Published in European Journal of Sport Science, 2020
Sara Kaartinen, Sari Aaltonen, Tellervo Korhonen, Mirva Rottensteiner, Urho M. Kujala, Jaakko Kaprio
The main limitations of our study are the cross-sectional design and possible recall bias. With only cross-sectional results, we are unable to determine the direction of the association, and reverse causality is possible (i.e. a history of LBP can hinder participation in some sport activities more than others). However, our survey gathered information on participation in sport activities and LBP not just recently but during the past six months. The short recall period was used to reduce the recall bias that is common in survey studies. Self-reported PA participation is generally overestimated (Klesges et al., 1990), whereas patients with pain may notably underestimate their PA levels, thus counterbalancing the estimates (Kremer, Block, & Gaylor, 1981). Common for all self-reports, the test–retest reliability for back pain also depends on question-wording and recall period, but is relatively good for questions similar to ours that relate to “ever” having back pain (Gill et al., 2016). Unfortunately, we were unable to use standardised definitions for radiating and non-radiating LBP (Kongsted et al., 2012; Konstantinou & Dunn, 2008). However, this is a common limitation in studies based on large health behaviour surveys. In addition, we lacked information on the frequency and mean duration of each sport activity, as well as possible regular participation in competitions, which may moderate the detected associations. Future studies should further explore a potential dose–response relationship between sport activities and types of LBP.