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A pilot study of Kangaroo mother care in early essential newborn care in resource-limited areas of China: the facilitators and barriers to implementation
BackgroundImplementation of Kangaroo Mother Care (KMC) in resource-limited areas of China may face unique barriers, such as a lack of resources,...
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Organ preservation strategy: new therapeutic alternative in rectal cancer
BackgroundThe therapeutic modalities for nonmetastatic rectal cancer are presently undergoing major changes. The standard treatment is...
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Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms
BackgroundUnwarranted clinical variation in hospital care includes the underuse, overuse, or misuse of services. Audit and feedback is a common...
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Cost-effectiveness of adrenal vein sampling- vs computed tomography-guided adrenalectomy for unilateral adrenaloma in primary aldosteronism
PurposeAdrenalectomies performed for the treatment of primary aldosteronism due to unilateral adenoma are traditionally confirmed with, and guided...
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Evaluation of respondent-driven sampling in seven studies of people who use drugs from rural populations: findings from the Rural Opioid Initiative
BackgroundAccurate prevalence estimates of drug use and its harms are important to characterize burden and develop interventions to reduce negative...
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AI-Based Optimal Treatment Strategy Selection for Female Infertility for First and Subsequent IVF-ET Cycles
Over the last 20 years, China’s infertility rate has risen from 3% to 12.5%–15%. Infertility has become the third largest disease following cancer...
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An explainable machine learning-based phenomap** strategy for adaptive predictive enrichment in randomized clinical trials
Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine...
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Effectiveness of a Multifaceted Implementation Strategy to Increase Equitable Hospital at Home Utilization: An Interrupted Time Series Analysis
BackgroundThe number of Hospital-at-Home (HaH) programs rapidly increased during the COVID-19 pandemic and after issuance of Centers for Medicare and...
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Determinants associated with internet gaming disorder in female medical students: a logistic regression analysis using a random sampling survey
BackgroundInternet gaming disorder (IGD) is a momentously growing issue of all ages, and medical students are not immune from the ever-increasing...
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Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources
With the rapid development of artificial intelligence (AI) technologies, and the large amount of pharmacovigilance-related data stored in an...
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The effects of surgical resection in the treatment of limited-stage small cell lung cancer: a multicenter retrospective study
This study aimed to examine the effects of surgical resection on the treatment of limited-stage small cell lung cancer and identify patient...
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How health care professionals handle limited resources in primary care – an interview study
IntroductionHealth care systems around the world are struggling with limited resources, in relation to the prevailing health care need. An accessible...
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The effectiveness of a workplace violence prevention strategy based on situational prevention theory for nurses in managing violent situations: a quasi-experimental study
BackgroundWorkplace violence (WPV) poses a significant occupational hazard for nurses. The efficacy of current education and training programs in...
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Assessing the mechanism of citywide test-trace-isolate Zero-COVID policy and exit strategy of COVID-19 pandemic
BackgroundCountries that aimed for eliminating the cases of COVID-19 with test-trace-isolate policy are found to have lower infections, deaths, and...
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Impact of Tumor Subclassifications for Identifying an Appropriate Surgical Strategy in Patients with Intrahepatic Cholangiocarcinoma
BackgroundIntrahepatic cholangiocarcinoma (ICC) is subclassified into small and large duct types. The impact of these subclassifications for...
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Generating synthetic medical images with limited data using auxiliary classifier generative adversarial network: a study on thyroid ultrasound images
Background and objectiveThe availability of labeled data is crucial for training deep neural networks. However, in some cases, the available data is...
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Ensuring vaccine potency and availability: how evidence shaped Gavi's Immunization Supply Chain Strategy
BackgroundIn 2014, Gavi and partners developed a global Immunization Supply Chain (iSC) Strategy, 2015–2020, which prioritized functioning cold chain...
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Comparing the incidence of SARS-CoV-2 across age groups considering sampling biases - use of testing data of autumn 2021 in Belgium
BackgroundTo design efficient mitigation measures against COVID-19, understanding the transmission dynamics between different age groups was crucial....
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Strategies, processes, outcomes, and costs of implementing experience sampling-based monitoring in routine mental health care in four European countries: study protocol for the IMMERSE effectiveness-implementation study
BackgroundRecent years have seen a growing interest in the use of digital tools for delivering person-centred mental health care. Experience Sampling...
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Association between in-country migration and HIV infection among transgender women from northeastern Brazil: a respondent-driven sampling survey
BackgroundMigration is common among transgender women (TGW), often driven by the desire to escape stigma, find acceptance, establish new connections,...
