scholarly journals Are digital technologies fit for clinical purposes? A systematic review and qualitative synthesis of information quality frameworks for digital healthcare (Preprint)

2020 ◽  
Author(s):  
Kayode Philip Fadahunsi ◽  
Siobhan O'Connor ◽  
James Tosin Akinlua ◽  
Petra A Wark ◽  
Joseph Gallagher ◽  
...  

BACKGROUND Digital Health Technologies (DHTs) generate large volume of information used in healthcare for administrative, educational, research and clinical purposes. Clinical use of digital information for diagnostic, therapeutic and prognostic purposes has multiple patient safety problems; some of which result from poor information quality. OBJECTIVE The aim of this systematic review was to synthesize an Information Quality (IQ) framework which could be used to evaluate the extent to which digital health information is fit for clinical purposes. METHODS We searched EMBASE, Medline, PubMed, CINAHL, Maternity and Infant Care, PsycINFO, Global Health, ProQuest Dissertations and Theses Global, Scopus and HMIC from inception until October 2019. Multi-dimensional IQ frameworks for assessing DHTs used in clinical context by healthcare professionals were included. Thematic synthesis approach was employed to synthesize the Clinical Information Quality (CLIQ) Framework for Digital Health. RESULTS We identified ten existing IQ frameworks from which we developed the CLIQ Framework for Digital Health with thirteen unique dimensions – accessibility, completeness, portability, security, timeliness, accuracy, interpretability, plausibility, provenance, relevance, conformance, consistency and manageability; categorised into three meaningful categories – availability, informativeness and usability. CONCLUSIONS This systematic review highlights the importance of IQ of DHTs and its relevance to patient safety. The CLIQ Framework for Digital Health will be useful in evaluating and conceptualizing IQ issues associated with digital health, thus forestalling potential patient safety problems. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42018097142; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018097142 INTERNATIONAL REGISTERED REPORT RR2-http://dx.doi.org/10.1136/bmjopen-2018-024722

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e024722 ◽  
Author(s):  
Kayode Philip Fadahunsi ◽  
James Tosin Akinlua ◽  
Siobhan O’Connor ◽  
Petra A Wark ◽  
Joseph Gallagher ◽  
...  

IntroductionElectronic health (eHealth) applications have become a very large repository of health information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor information quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth.Method and analysisWe will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth.Ethics and disseminationEthical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences.PROSPERO registration numberCRD42018097142.


2019 ◽  
Vol 40 (1) ◽  
pp. 34-67 ◽  
Author(s):  
Iacopo Rubbio ◽  
Manfredi Bruccoleri ◽  
Astrid Pietrosi ◽  
Barbara Ragonese

PurposeIn the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities.Design/methodology/approachWithin- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities.FindingsFive different dynamic capabilities emerged as crucial for managing operational failure. Furthermore, in relation to these capabilities, medical, organizational and patient-related knowledge surfaced as major enablers. Finally, the findings allowed the authors to better explain the role of knowledge in healthcare resilience and how digital technologies boost this role.Practical implicationsWhen trying to promote a culture of patient safety, the research suggests healthcare managers should focus on promoting and enhancing resilience capabilities. Furthermore, when evaluating the role of digital technologies, healthcare managers should consider their importance in enabling these dynamic capabilities.Originality/valueAlthough operations management (OM) research points to resilience as a crucial behavior in the supply chain, this is the first research that investigates the concept of resilience in healthcare systems from an OM perspective, with only a few authors having studied similar concepts, such as “workaround” practices.


2021 ◽  
Author(s):  
Ghada Alhussein ◽  
Leontios Hadjileontiadis

BACKGROUND Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management. OBJECTIVE This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations. METHODS In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. RESULTS In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12). CONCLUSIONS Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Nghia H. Nguyen ◽  
Ivonne Martinez ◽  
Ashish Atreja ◽  
Amy M. Sitapati ◽  
William J. Sandborn ◽  
...  

2019 ◽  
Vol 36 (04) ◽  
pp. 261-270
Author(s):  
Yasser Al Omran ◽  
Ali Abdall-Razak ◽  
Catrin Sohrabi ◽  
Tiffanie-Marie Borg ◽  
Hayat Nadama ◽  
...  

Abstract Background Augmented reality (AR) uses a set of technologies that overlays digital information into the real world, giving the user access to both digital and real-world environments in congruity. AR may be specifically fruitful in reconstructive microsurgery due to the dynamic nature of surgeries performed and the small structures encountered in these operations. The aim of this study was to conduct a high-quality preferred reporting items for systematic reviews and meta-analyses (PRISMA) and assessment of multiple systematic reviews 2 (AMSTAR 2) compliant systematic review evaluating the use of AR in reconstructive microsurgery. Methods A systematic literature search of Medline, EMBASE, and Web of Science databases was performed using appropriate search terms to identify all applications of AR in reconstructive microsurgery from inception to December 2018. Articles that did not meet the objectives of the study were excluded. A qualitative synthesis was performed of those articles that met the inclusion criteria. Results A total of 686 articles were identified from title and abstract review. Five studies met the inclusion criteria. Three of the studies used head-mounted displays, one study used a display monitor, and one study demonstrated AR using spatial navigation technology. The augmented reality microsurgery score was developed and applied to each of the AR technologies and scores ranged from 8 to 12. Conclusion Although higher quality studies reviewing the use of AR in reconstructive microsurgery is needed, the feasibility of AR in reconstructive microsurgery has been demonstrated across different subspecialties of plastic surgery. AR applications, that are reproducible, user-friendly, and have clear benefit to the surgeon and patient, have the greatest potential utility. Further research is required to validate its use and overcome the barriers to its implementation.


Psychosis ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 362-373
Author(s):  
Stephen Clarke ◽  
Donncha Hanna ◽  
Ciaran Mulholland ◽  
Ciaran Shannon ◽  
Callum Urquhart

2021 ◽  
Vol 2 ◽  
Author(s):  
Sofia Daniolou ◽  
Andreas Rapp ◽  
Celina Haase ◽  
Alfred Ruppert ◽  
Marlene Wittwer ◽  
...  

The widespread adoption of digital health technologies such as smartphone-based mobile applications, wearable activity trackers and Internet of Things systems has rapidly enabled new opportunities for predictive health monitoring. Leveraging digital health tools to track parameters relevant to human health is particularly important for the older segments of the population as old age is associated with multimorbidity and higher care needs. In order to assess the potential of these digital health technologies to improve health outcomes, it is paramount to investigate which digitally measurable parameters can effectively improve health outcomes among the elderly population. Currently, there is a lack of systematic evidence on this topic due to the inherent heterogeneity of the digital health domain and the lack of clinical validation of both novel prototypes and marketed devices. For this reason, the aim of the current study is to synthesize and systematically analyse which digitally measurable data may be effectively collected through digital health devices to improve health outcomes for older people. Using a modified PICO process and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, we provide the results of a systematic review and subsequent meta-analysis of digitally measurable predictors of morbidity, hospitalization, and mortality among older adults aged 65 or older. These findings can inform both technology developers and clinicians involved in the design, development and clinical implementation of digital health technologies for elderly citizens.


2021 ◽  
Author(s):  
Rui Yao ◽  
Wenli Zhang ◽  
Richard Evans ◽  
Guang Cao ◽  
Lining Shen

BACKGROUND Digital health technologies are rapidly adapting to healthcare contexts to provide improved medical services to citizens. However, contrary to expectations, their rapid adoption appears to have led to health inequities. OBJECTIVE The aim of this study is to systematically review the inequities of healthcare services brought about by the adoption of digital health technologies. The influencing factors of inequities, as well as corresponding countermeasures to ensure the health equity between different groups of citizens, is also studied. METHODS A systematic review of literature published from 1990 to 2020 was completed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review process, and the electronic databases of Web of Science Core Collection, PubMed, and Scopus. Search, sorting, and data extraction processes were completed by two authors of the paper using Thomson Endnote. RESULTS In total, 1,895 studies were collected during the search process, of which 40 were identified for analysis. The earliest literature identified was published in 1993, with the number remaining below 2 for a long period of time. The number started to increase until 2016, with a peak thereafter being reached in 2020. The United States, the United Kingdom, and Norway ranked as the top three in terms of publication output. Health inequities caused by digital health technologies were mainly reflected by access and availability of digital technologies and the differences in healthcare outcomes. The factors that influenced inequities included: demographic factors (i.e., gender, age, race, region, economy, and education level), health conditions, and eHealth literacy. Finally, government agencies and medical institutions, digital health technology providers, and healthcare service receivers can all take actions to alleviate inequities, in future. CONCLUSIONS Findings provide a comprehensive starting point for future research allowing for further investigation into how digital health technologies may influence the unequal distribution of healthcare services. The interaction between individual subjective factors, as well as social support, and influencing factors should be included in future studies. In particular, access and availability to digital health technologies by vulnerable groups should be of paramount importance.


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