Abstract:
BACKGROUND:Different from adult clinical stage I (CS1) testicular cancer, surveillance has been recommended for CS1 pediatric testicular cancer. However, among high-risk children, more than 50% suffer a relapse and progression during surveillance, and adjuvant chemotherapy needs to be administered. Risk-adapted treatment might reduce chemotherapy exposure among these children. METHODS:A decision model was designed and calculated using TreeAge Pro 2011 software. Clinical utilities such as the relapse rates of different groups during surveillance or after chemotherapy were collected from the literature. A survey of urologists was conducted to evaluate the toxicity of first-line and second-line chemotherapy. Using the decision analysis model, chemotherapy exposure of the risk-adapted treatment and surveillance strategies were compared based on this series of clinical utilities. One-way and two-way tests were applied to check the feasibility. RESULTS:In the base case decision analysis of CS1 pediatric testicular cancer, risk-adapted treatment resulted in a lower exposure to chemotherapy than surveillance (average: 0.7965 cycles verse 1.3419 cycles). The sensitivity analysis demonstrated that when the relapse rate after primary chemotherapy was ≤ 0.10 and the relapse rate of the high-risk group was ≥ 0.40, risk-adapted treatment would result in a lower exposure to chemotherapy, without any association with the proportion of low-risk patients, the relapse rate of the low-risk group, the relapse rate after salvage chemotherapy or the toxicity utility of second-line chemotherapy compared to first-line chemotherapy. CONCLUSIONS:Based on the decision analysis, risk-adapted treatment might decrease chemotherapy exposure for these high-risk patients, and an evaluation after orchiectomy was critical to this process. Additional clinical studies are needed to validate this statement.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Ye YL,Chen ZF,Bian J,Liang HT,Qin ZKdoi
10.1186/s12911-020-01365-xsubject
Has Abstractpub_date
2020-12-14 00:00:00pages
337issue
1issn
1472-6947pii
10.1186/s12911-020-01365-xjournal_volume
20pub_type
杂志文章abstract:BACKGROUND:Health numeracy is an important factor in how well people make decisions based on medical risk information. However, in many countries, including Japan, numeracy studies have been limited. METHODS:To fill this gap, we evaluated health numeracy levels in a sample of Japanese adults by translating two well-kn...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-104
更新日期:2012-09-11 00:00:00
abstract:BACKGROUND:A large proportion of patients with knee and/or hip osteoarthritis (OA) do not meet the recommended levels of physical activity (PA). Therefore, we developed a web-based intervention that provides a tailored PA program for patients with knee and/or hip OA, entitled Join2move. The intervention incorporates co...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-61
更新日期:2013-05-28 00:00:00
abstract:BACKGROUND:Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge plann...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0285-4
更新日期:2016-04-27 00:00:00
abstract:BACKGROUND:Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to detect risk situations and act on these appropriately. One option is sendin...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0796-x
更新日期:2019-03-18 00:00:00
abstract:BACKGROUND:Recently, claim-data-based comorbidity-adjusted methods such as the Charlson index and the Elixhauser comorbidity measures have been widely used among researchers. At the same time, there have been an increasing number of attempts to improve the predictability of comorbidity-adjusted models. We tried to impr...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-128
更新日期:2013-11-20 00:00:00
abstract:BACKGROUND:Simulation applications on operations management in hospitals are frequently published and claim to support decision-making on operations management subjects. However, the reported implementation rates of recommendations are low and the actual impact of the changes recommended by the modeler has hardly been ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/1472-6947-12-18
更新日期:2012-03-14 00:00:00
abstract:BACKGROUND:Decision aids have been overall successful in improving the quality of health decision making. However, it is unclear whether the impact of the results of using decision aids also apply to older people (aged 65+). We sought to systematically review randomized controlled trials (RCTs) and clinical controlled ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,meta分析,评审
doi:10.1186/s12911-016-0281-8
更新日期:2016-04-21 00:00:00
abstract::After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,已发布勘误
doi:10.1186/s12911-020-1096-1
更新日期:2020-04-28 00:00:00
abstract:BACKGROUND:Mobile phone technology has demonstrated the potential to improve health service delivery, but there is little guidance to inform decisions about acquiring and implementing mHealth technology at scale in health systems. Using the case of community-based health services (CBS) in South Africa, we apply a frame...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-123
更新日期:2012-11-05 00:00:00
abstract:BACKGROUND:Virtual Reality has been extensively used in a wide range of psychological experiments. In this study, we aimed to introduce NeuroVirtual 3D, a platform that clinicians could use free of charge. IMPLEMENTATION:The platform we developed relies on NeuroVR software, but we extended it to apply to experiments. ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0276-5
更新日期:2016-03-19 00:00:00
abstract:BACKGROUND:The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is increasing evidence to justify this expectation, as telehealth is becoming more and more prevalent ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-14-98
更新日期:2014-12-23 00:00:00
abstract:BACKGROUND:Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether th...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/1472-6947-14-57
更新日期:2014-07-15 00:00:00
abstract:BACKGROUND:Feedback from service users will provide insight into opportunities for improvement so that performance can be optimised. In the context of a formative evaluation referring clinician and patient satisfaction with a teleneurophysiology service was examined during a 20 week pilot period. METHODS:Questionnaire...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-10-49
更新日期:2010-09-15 00:00:00
abstract:BACKGROUND:The increasing use of common data elements (CDEs) in numerous research projects and clinical applications has made it imperative to create an effective classification scheme for the efficient management of these data elements. We applied high-level integrative modeling of entire clinical documents from real-...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0877-x
更新日期:2019-08-20 00:00:00
abstract:INTRODUCTION:While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will remain an important component of future diagnostic decision support systems by providing ground truth...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0804-1
更新日期:2019-04-27 00:00:00
abstract:BACKGROUND:Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical and imaging biomarkers. The go...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01154-6
更新日期:2020-06-18 00:00:00
abstract:BACKGROUND:Problems may arise during the approval process of treatment after a compensable work injury, which include excess paperwork, delays in approving services, disputes, and allegations of over-servicing. This is perceived as undesirable for injured people, health care professionals and claims managers, and costl...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0460-2
更新日期:2017-05-22 00:00:00
abstract:BACKGROUND:Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical practice and outcomes have been mixed. This study explores how the electronic health record and its stage...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,随机对照试验
doi:10.1186/s12911-019-0897-6
更新日期:2019-08-22 00:00:00
abstract:BACKGROUND:Adopting mobile electronic medical record (MEMR) systems is expected to be one of the superior approaches for improving nurses' bedside and point of care services. However, nurses may use the functions for far fewer tasks than the MEMR supports. This may depend on their technological personality associated t...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-88
更新日期:2013-08-12 00:00:00
abstract:BACKGROUND:A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assuming we want to monitor the travel and/or activity of an AP in a community where there is a pandemi...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01258-z
更新日期:2020-09-29 00:00:00
abstract:BACKGROUND:Identifying subtypes of complex diseases such as cancer is the very first step toward developing highly customized therapeutics on such diseases, as their origins significantly vary even with similar physiological characteristics. There have been many studies to recognize subtypes of various cancer based on ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0295-2
更新日期:2016-07-18 00:00:00
abstract:BACKGROUND:Patient-reported Outcomes (PROs) capturing e.g., quality of life, fatigue, depression, medication side-effects or disease symptoms, have become important outcome parameters in medical research and daily clinical practice. Electronic PRO data capture (ePRO) with software packages to administer questionnaires,...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-126
更新日期:2012-11-09 00:00:00
abstract:BACKGROUND:A variety of multimodal treatment options are available for colorectal cancer and many patients want to be involved in decisions about their therapies. However, their desire for autonomy is limited by lack of disease-specific knowledge. Visual aids may be helpful tools to present complex data in an easy-to-u...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,随机对照试验
doi:10.1186/1472-6947-12-118
更新日期:2012-10-23 00:00:00
abstract:BACKGROUND:Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon clinical terms in Chinese electronic medical records (EMRs), there are...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0933-6
更新日期:2019-12-05 00:00:00
abstract:BACKGROUND:Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptak...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01357-x
更新日期:2020-12-17 00:00:00
abstract:BACKGROUND:Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0175-1
更新日期:2015-07-15 00:00:00
abstract:BACKGROUND:Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers better manage patients' CVH. We hypothesized that CVH measures can be predicted based on previous measure...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01345-1
更新日期:2021-01-06 00:00:00
abstract:BACKGROUND:New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-10-59
更新日期:2010-10-14 00:00:00
abstract:BACKGROUND:A main element of patient-centred care, Patient Decision Aids (PtDAs) facilitate shared decision-making (SDM). A recent update of the International Patient Decision Aids Standards (IPDAS) emphasised patient involvement during PtDA development, but omitted a methodology for doing so. This article reports on t...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0433-5
更新日期:2017-04-26 00:00:00
abstract:BACKGROUND:Real-world data on the benefit/risk profile of medicines is needed, particularly in patients who are ineligible for randomised controlled trials conducted for registration purposes. This paper describes the methodology and source data verification which enables the conduct of pre-licensing clinical trials of...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0132-z
更新日期:2015-02-07 00:00:00