Other side of the coin for personalised medicine and healthcare: content analysis of ‘personalised’ practices in the literature

Cesuroğlu, Tomris; Syurina, Elena V.; Feron, Frans; Krumeich, Anja

doi:10.1136/bmjopen-2015-010243

Cited by 27 publications

(19 citation statements)

References 96 publications

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“…Personalized medicine and healthcare following a bottom-up strategy is a highly desirable goal. Consequently, all major grant agencies around the world dedicate funding to integrate omic studies into the clinic, even if limitations on the use of patient data in health services still exist [ 142 ].…”

Section: Epigenetics In Solid Cancersmentioning

confidence: 99%

Cancer epigenetics: Moving forward

et al. 2018

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Defects in chromatin modifiers and remodelers have been described both for hematological and solid malignancies, corroborating and strengthening the role of epigenetic aberrations in the etiology of cancer. Furthermore, epigenetic marks—DNA methylation, histone modifications, chromatin remodeling, and microRNA—can be considered potential markers of cancer development and progression. Here, we review whether altered epigenetic landscapes are merely a consequence of chromatin modifier/remodeler aberrations or a hallmark of cancer etiology. We critically evaluate current knowledge on causal epigenetic aberrations and examine to what extent the prioritization of (epi)genetic deregulations can be assessed in cancer as some type of genetic lesion characterizing solid cancer progression. We also discuss the multiple challenges in developing compounds targeting epigenetic enzymes (named epidrugs) for epigenetic-based therapies. The implementation of acquired knowledge of epigenetic biomarkers for patient stratification, together with the development of next-generation epidrugs and predictive models, will take our understanding and use of cancer epigenetics in diagnosis, prognosis, and treatment of cancer patients to a new level.

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Section: Epigenetics In Solid Cancersmentioning

confidence: 99%

Cancer epigenetics: Moving forward

et al. 2018

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“…In current practice, a range of innovations are providing an increasing number of opportunities to tailor medical treatment to individuals. This is referred to as 'personalized medicine' [1,2]. Through this approach, the effectiveness and efficiency of treatments can be increased, enabling vital improvements to these individuals' quality of life.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

Bloem

Stalpers

Groenland

et al. 2020

BMC Health Serv Res

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Background: There is an observable, growing trend toward tailoring support programsin addition to medical treatmentmore closely to individuals to help improve patients' health status. The segmentation model developed by Bloem & Stalpers [Nyenrode Research Papers Series 12:1-22, 2012] may serve as a solid basis for such an approach. The model is focused on individuals' 'health experience' and is therefore a 'cross-disease' model. The model is based on the main psychological determinants of subjective health: acceptance and perceived control. The model identifies four segments of health-care consumers, based on high or low values on these determinants. The goal of the present study is twofold: the identification of criteria for differentiating between segments, and profiling of the segments in terms of socio-demographic and socioeconomic variables. Methods: The data (acceptance, perceived control, socioeconomic , and socio-demographic variables) for this study were obtained by using an online survey (a questionnaire design), that was given (random sample N = 2500) to a large panel of Dutch citizens. The final sample consisted of 2465 participantsage distribution and education level distribution in the sample were similar to those in the Dutch population; there was an overrepresentation of females. To analyze the data factor analyses, reliability tests, descriptive statistics and t-tests were used. Results: Cutoff scores, criteria to differentiate between the segments, were defined as the medians of the distributions of control and acceptance. Based on the outcomes, unique profiles have been formed for the four segments: 1. 'Importance of self-management'relatively young, high social class, support programs: high-quality information. 2. 'Importance of personal control'relatively old, living in rural areas, high in homeownership; supportive programs: developing personal control skills. 3. 'Importance of acceptance'relatively young male; supportive programs: help by physicians and nurses. 4. 'Importance of perspective and direction'female, low social class, receiving informal care; support programs: counseling and personal care. Conclusions: The profiles describe four segments of individuals/patients that are clearly distinct from each other, each with its own description. The enriched descriptions provide a better basis for the allocation and developing of supportive programs and interventions across individuals.

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“…This study builds on this by illustrating a short video interview approach to eliciting how youth experienced the 3D-printed models internally, functionally, and socially, all of which is essential for the development and future utilization of the designed 3D models [48]. The short video interviews generated a large set of descriptive data that could be generalized to the study population or used to account for an individual’s personal progress and experiences with the 3D models, which aligns with the current trend toward personalization in health care [143] and the quantified-self movement [144]. However, one possible limitation to this aforementioned approach could be the direct influence of the ongoing short video interviews on the youths’ experiences with the 3D models, given that previous research suggests that face-to-face support can create a more meaningful experience by reinforcing effort and goals [145,146].…”

Section: Discussionmentioning

confidence: 99%

The Tangibility of Personalized 3D-Printed Feedback May Enhance Youths’ Physical Activity Awareness, Goal Setting, and Motivation: Intervention Study

Crossley¹,

McNarry²,

Eslambolchilar³

et al. 2019

J Med Internet Res

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Background In the United Kingdom, most youth fail to achieve the government guideline of 60 min of moderate to vigorous physical activity (MVPA) daily. Reasons that are frequently cited for the underachievement of this guideline include (1) a lack of awareness of personal physical activity levels (PALs) and (2) a lack of understanding of what activities and different intensities contribute to daily targets of physical activity (PA). Technological advances have enabled novel ways of representing PA data through personalized tangible three-dimensional (3D) models. Objective The purpose of this study was to investigate the efficacy of 3D-printed models to enhance youth awareness and understanding of and motivation to engage in PA. Methods A total of 39 primary school children (22 boys; mean age 7.9 [SD 0.3] years) and 58 secondary school adolescents (37 boys; mean age 13.8 [SD 0.3] years) participated in a 7-week fading intervention, whereby participants were given 3D-printed models of their previous week’s objectively assessed PALs at 4 time points. Following the receipt of their 3D model, each participant completed a short semistructured video interview (children, 4.5 [SD 1.2] min; adolescents, 2.2 [SD 0.6] min) to assess their PA awareness, understanding, and motivation. Data were transcribed verbatim and thematically analyzed to enable key emergent themes to be further explored and identified. Results Analyses revealed that the 3D models enhanced the youths’ awareness of and ability to recall and self-evaluate their PA behaviors. By the end of the study, the youths, irrespective of age, were able to correctly identify and relate to the government’s PA guideline represented on the models, despite their inability to articulate the government's guideline through time and intensity. Following the fourth 3D model, 72% (71/97) of the youths used the models as a goal-setting strategy, further highlighting such models as a motivational tool to promote PA. Conclusions The results suggest that 3D-printed models of PA enhanced the youths’ awareness of their PA levels and provided a motivational tool for goal setting, potentially offering a unique strategy for future PA promotion.

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Other side of the coin for personalised medicine and healthcare: content analysis of ‘personalised’ practices in the literature

Cited by 27 publications

References 96 publications

Cancer epigenetics: Moving forward

Cancer epigenetics: Moving forward

Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables

The Tangibility of Personalized 3D-Printed Feedback May Enhance Youths’ Physical Activity Awareness, Goal Setting, and Motivation: Intervention Study

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